From e62cd5277eabdde1ccb8e3c2b7811eb5e982cd69 Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Wed, 14 Jan 2026 16:07:01 +0100 Subject: [PATCH 001/144] GUI: Add pserv address for X10SA camera --- gui/src/aaregui/gui.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gui/src/aaregui/gui.py b/gui/src/aaregui/gui.py index 16699833..8a0f4ad7 100644 --- a/gui/src/aaregui/gui.py +++ b/gui/src/aaregui/gui.py @@ -34,7 +34,7 @@ if __name__ == "__main__": default_pred_zmq_addr = "tcp://mx-ml:9091" case MXBeamline.X10SA: default_url = "http://mx-x10sa-queue-01.psi.ch:5210" - default_zmq_addr = "" + default_zmq_addr = "tcp://x10sa-pserv-01:9089" default_pred_zmq_addr = "" case MXBeamline.X06SA: default_url = "http://mx-x06sa-queue-01.psi.ch:5210" From 18014e2d7c7331d2d587664cc3554d4ec66be2df Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Thu, 15 Jan 2026 12:57:36 +0100 Subject: [PATCH 002/144] DAQ/GUI: Add relative omega movement - to be tested --- daq/src/aaredaq/daq.py | 14 +++++++++++--- daq/src/aaredaq/server.py | 6 ++++++ gui/src/aaregui/main_window.py | 1 + gui/src/aaregui/panels/omega_panel.py | 3 ++- gui/src/aaregui/threads/daq_worker.py | 4 ++++ 5 files changed, 24 insertions(+), 4 deletions(-) diff --git a/daq/src/aaredaq/daq.py b/daq/src/aaredaq/daq.py index 7e53518f..f3667a45 100644 --- a/daq/src/aaredaq/daq.py +++ b/daq/src/aaredaq/daq.py @@ -198,9 +198,7 @@ class AareDAQ: def omega(self) -> float: return self.__devs.aerotech.omega - @omega.setter - def omega(self, val: float): - self.__cfg.set_busy(BeamlineStateEnum.SampleAlignment) + def __omega(self, val: float): self.__saved_box = None if -2000 < val < 2000: try: @@ -215,6 +213,16 @@ class AareDAQ: logger.error("Omega has to be between -2000 and 2000 degrees") raise ValueError("Omega has to be between -2000 and 2000 degrees (for now)") + @omega.setter + def omega(self, val: float): + self.__cfg.set_busy(BeamlineStateEnum.SampleAlignment) + self.__omega(val) + + def omega_rel(self, val: float): + self.__cfg.set_busy(BeamlineStateEnum.SampleAlignment) + curr_omega = self.__devs.aerotech.omega + self.__omega(curr_omega + val) + @property def zoom(self) -> float: return self.__devs.zoom diff --git a/daq/src/aaredaq/server.py b/daq/src/aaredaq/server.py index 60c3729e..283317d4 100644 --- a/daq/src/aaredaq/server.py +++ b/daq/src/aaredaq/server.py @@ -96,6 +96,12 @@ async def omega(val: float, token: str = Depends(oauth2_scheme)): daq.omega = val return "OK" +@app.put("/beamline/omega_rel") +async def omega(val: float, token: str = Depends(oauth2_scheme)): + logger.debug(f"Moving omega by {val}") + auth.check_jwt_rw(cfg, auth.parse_token(token)) + daq.omega_rel(val) + return "OK" @app.put("/beamline/light") async def light(val: float, token: str = Depends(oauth2_scheme)): diff --git a/gui/src/aaregui/main_window.py b/gui/src/aaregui/main_window.py index e4d5bd32..4edf83ee 100644 --- a/gui/src/aaregui/main_window.py +++ b/gui/src/aaregui/main_window.py @@ -229,6 +229,7 @@ class MainWindow(QMainWindow): self.raster.omega.connect(self.daq.set_omega) self.raster.smargon.connect(self.daq.move_smargon) + self.beamline.omega_panel.set_omega_rel.connect(self.daq.set_omega_rel) self.beamline.omega_panel.set_omega.connect(self.daq.set_omega) self.sample_camera.set_omega.connect(self.daq.set_omega) self.beamline.zoom_panel.zoom.connect(self.daq.zoom) diff --git a/gui/src/aaregui/panels/omega_panel.py b/gui/src/aaregui/panels/omega_panel.py index 338167d3..566770b0 100644 --- a/gui/src/aaregui/panels/omega_panel.py +++ b/gui/src/aaregui/panels/omega_panel.py @@ -21,6 +21,7 @@ class OmegaEntryWidget(QWidget): class OmegaPanel(QWidget): set_omega = Signal(float) + set_omega_rel = Signal(float) def __init__(self, parent=None): super().__init__(parent) @@ -57,7 +58,7 @@ class OmegaPanel(QWidget): @Slot(dict) def omega_button_pressed(self, payload: dict): if "rel" in payload: - self.set_omega.emit(self.__omega + payload["rel"]) + self.set_omega_rel.emit(payload["rel"]) elif "abs" in payload: self.set_omega.emit(payload["abs"]) diff --git a/gui/src/aaregui/threads/daq_worker.py b/gui/src/aaregui/threads/daq_worker.py index 934b816e..c69a6fff 100644 --- a/gui/src/aaregui/threads/daq_worker.py +++ b/gui/src/aaregui/threads/daq_worker.py @@ -186,6 +186,10 @@ class DAQWorker(QObject): def set_omega(self, f: float): self.generic_put(f"beamline/omega?val={f:.3f}") + @Slot(float) + def set_omega_rel(self, f: float): + self.generic_put(f"beamline/omega_rel?val={f:.3f}") + @Slot(float) def zoom(self, f: float): self.generic_put(f"beamline/zoom?val={f:.3f}") From 0bd867b5fe164cad71f59630a443f87ac7697a57 Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Thu, 15 Jan 2026 13:03:31 +0100 Subject: [PATCH 003/144] DAQ/GUI: Remove ultralytics bindings --- common/pyproject.toml | 2 +- daq/pyproject.toml | 1 - daq/src/aaredaq/best.pt | Bin 6268963 -> 0 bytes 3 files changed, 1 insertion(+), 2 deletions(-) delete mode 100644 daq/src/aaredaq/best.pt diff --git a/common/pyproject.toml b/common/pyproject.toml index b43eeb87..65184d7e 100644 --- a/common/pyproject.toml +++ b/common/pyproject.toml @@ -7,7 +7,7 @@ requires-python = ">=3.11" dependencies = [ "pydantic==2.11.4", "numpy==2.2.5", - "jfjoch_client==1.0.0rc113", + "jfjoch_client==1.0.0rc122", ] [lint] diff --git a/daq/pyproject.toml b/daq/pyproject.toml index 8b75faa0..d87c7a2e 100644 --- a/daq/pyproject.toml +++ b/daq/pyproject.toml @@ -12,7 +12,6 @@ dependencies = [ "PyJWT==2.10.1", "fastapi==0.115.13", "uvicorn==0.34.2", - "ultralytics==8.3.133", "aaredb==0.1.1a33", "opencv-python-headless==4.11.0.86", "python_multipart==0.0.20", diff --git a/daq/src/aaredaq/best.pt b/daq/src/aaredaq/best.pt deleted file mode 100644 index ed71546a4b2f96de536ed57e9cc9a440b2bd2f62..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 6268963 zcmb5X2VfM{*Zv<6K?2egEGPoDL|DX8HdAdB48zxu1Jx_uf6voO@=Noy<jFE%a)h0Vk-WXU^P*gIcpkhd2 z`91~1h7T(qKCEnL#jui+VI|3qle^#r^J=ZBuCXDx*5uCUl@Bc*T2_$kL0DJQG_NG&BqitD9yw<&LfmYimNpGM=x>O?J;eI=OBt*&}ZgwYGCnrg%3 z`ZZPP*VTu04OLaS@Z=`@PD%DlCpQR^8%|!2@19m&GkbouO|P13wN;76#@S8DjcRHd z>+AJNn{xNE>9tlneRN$7-o0^tknBIX=YQU)H*J#OwoNDZk{su|7o^(}+*HOT=J zCimdh8I9&<)EhT*Zye}y;lG=z=GTRZDt@||P02y-WrN+$YV)${`uWuhnyPB5@u8Q?&%QrQ5vKvb`ZhI@Mb4q}pUN@}jO930I7S83ja$#cGMTSZNBSLbl-~ghxdV=Nr4Z$-CQ;qcP+Q-W zTvWN1tG*sn0_ukK{Uqk zl{u9;OOq$K$!1z(^W3K7iIpAPC-twXLWb8SSGdE(VYSxSlsswjK#Yx4;32M-x!^t! z9CK??ZKhX+^KpPno}9;z!vDhLDb3R+cf^~fH6%~X&c|uhVNIf;(dOjtN}2#-W}b%3 zJUx{>Bg)J(^AgpGX$d4#VtPW^QkXm|F|)E)m^>RvQrRn=Jg2flI(e=#;k+<;evrIC zoeML`i-P3EiDa7*ijtRTgiHMhmvMy4^`HZV8jO2FcspzK_P3S8d7L|1-p}f zeyzOV*UF22t-Qpw^0JeXG0Z^vG#d^NtFSIu1Zt6vuZ$TnaoYHozQ5`(m*{gE=iso= zJSX|;m=WjSx%XG;0e8COt)4Lh$BpD`%bX%kg{nwe9t4|`uP;Lqa#Yl`(!7^Wz8@q%@X~zfrTM5unvcCSpLl6L_0oLi zrTN@T^M#k@OE1k=UYf5d%{Okr*EP(ouf~G<76CN7Wz;Y?xqAEy9o&AbOMX|G<7h_m zd!6O+R5e^Mw>J5MTd8eM>RKPMhVqD&{1L+N@K%`oDZzu+&#B}uQP96K=-(9d@9E?p zLGn)@^j|*czgvR-#|Qndg0>uts<^EK(H(KEBQc+q+twnw{?J>r5<6 zSr@c2>EMwh_^tme|I` z=*-0Wv*%7uY!jk8Ke0`T?i9ra5T)5>L}@mVD9r{DrP*MjG~1jA&9-2>sIpgLapk~- z4lA}LeL9@jR%9JTY-_TP9hOHvZh1ln2g_#{2Zh9n#7T)(McuZ+hURIBQxhoEwkjU zY{HlL!~?D-6c*av^s=T~0K!1NtlK1XL)!;7uzg`w-)%o&+V*#D766~H2N0F82NL6i zJ%~Le?7>7O>=dFB_7I{Hwu+eV7Wq`761JMCgq=oI!qyOxu+!PDLbA5h{6tHcPrSA) z!5W@;Bk@*qV)giueG=axD^>Fn?JIRwiz$4yE3z5r{IB!*Y4wdYvvWrk&B(Qxco{N0 zfhJ{juu+E30y95mvvnn)9+b8@uz@wus}j&il%jKqv7$-#q^J?4XcJM2hD0gaOq8PY zh*ESuQHmZ)l%flWQ1mdgc{-n-S7?XRivn*)08*CXM*Wk@j^rkUauiz^%0f`uj)o0v z5xoj!F;Sr`A;zJk*;6P>i3%k{R4B`c3S~J_p&Ub0D8~{N%5g-6ay${CoPahu0-Oj= z*$U^;5#S`pt&5FYTt#*=Ht-P8DYR37SQI=240NZZb}HYc4p+@-=xVK<4hroI*uc(= zy=Q?kcDD1L0~;Lz&Lun1&I6_GeD{hA=#^*}5+&M2#8|Y8*^_9O5GC5BM2U78QKDT= zlxSBFCEArliFOrHqFqgdXxFe^gcYSj0RO>Y*V4C?0xY%b$jjV60_=LSKLp%BZaD

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src}/aaredaq/server.py | 3 +- .../src => src}/aaredaq/spreadsheetupdater.py | 0 {daq/src => src}/aaredaq/tellupdater.py | 0 {daq/src => src}/aaredaq/workflows.py | 0 .../aaredaq => src/aaredaqlib}/__init__.py | 0 {common/src => src}/aaredaqlib/beamline.py | 0 {common/src => src}/aaredaqlib/coordinate.py | 0 .../aaredaqlib/diffraction_geometry.py | 0 .../src => src}/aaredaqlib/face_detection.py | 0 {common/src => src}/aaredaqlib/find_xtal.py | 0 .../src => src}/aaredaqlib/logger_config.py | 0 {common/src => src}/aaredaqlib/models.py | 0 {common/src => src}/aaredaqlib/raster_grid.py | 0 .../src => src}/aaredaqlib/rotation_scan.py | 0 .../src => src}/aaredaqlib/sample_geometry.py | 0 {daq/src/mxlibs3 => src/aaregui}/__init__.py | 0 {gui/src => src}/aaregui/auth.py | 0 {gui/src => src}/aaregui/gui.py | 0 {gui/src => src}/aaregui/main_window.py | 0 .../aaregui/models}/__init__.py | 0 {gui/src => src}/aaregui/models/bookmark.py | 0 .../aaregui/models/sample_queue_model.py | 0 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.../aaregui/widgets/message_box.py | 0 .../aaregui/widgets/no_wheel_scroll_area.py | 0 .../aaregui/widgets/number_line_edit.py | 0 .../aaregui/widgets/pgroup_dialog.py | 0 .../aaregui/widgets/raster_grid_table.py | 0 .../src => src}/aaregui/widgets/status_bar.py | 0 .../aaregui/widgets/status_label.py | 0 .../aaregui/widgets/title_label.py | 0 .../aaregui/widgets/value_label.py | 0 .../aaregui/widgets/video_image.py | 0 .../widgets => src/mxlibs3}/__init__.py | 0 {daq/src => src}/mxlibs3/aerotech.py | 0 {daq/src => src}/mxlibs3/area_detector.py | 0 {daq/src => src}/mxlibs3/enum_pv.py | 0 .../mxlibs3/experimental_hutch_shutter.py | 0 .../mxlibs3/filter_transmission.py | 0 {daq/src => src}/mxlibs3/fluorimeter.py | 0 {daq/src => src}/mxlibs3/jfjoch.py | 0 {daq/src => src}/mxlibs3/mx_lib.py | 0 {daq/src => src}/mxlibs3/my_motor.py | 0 {daq/src => src}/mxlibs3/non_standard.py | 0 {daq/src => src}/mxlibs3/pshell_client.py | 0 {daq/src => src}/mxlibs3/smargon.py | 0 {daq/src => src}/mxlibs3/tell_client.py | 0 {daq/src => src}/mxlibs3/workflow_tools.py | 0 update_version.sh | 9 - 111 files changed, 17 insertions(+), 457 deletions(-) rename daq/docs/CHANGELOG.md => CHANGELOG.md (94%) rename daq/docs/README.md => README.md (100%) delete mode 100644 common/pyproject.toml delete mode 100644 daq/docs/conf.py delete mode 100644 daq/docs/index.rst delete mode 100644 daq/docs/requirements.txt delete mode 100644 gui/pyproject.toml rename daq/pyproject.toml => pyproject.toml (74%) rename {common/src/aaredaqlib => src/aaredaq}/__init__.py (100%) rename {daq/src => src}/aaredaq/aaredb.py (100%) rename {daq/src => src}/aaredaq/auth.py (100%) rename {daq/src => src}/aaredaq/autofocus.py (100%) rename {daq/src => src}/aaredaq/beamcenterfit.py (100%) rename {daq/src => src}/aaredaq/config.py (100%) rename {daq/src => src}/aaredaq/daq.py (99%) rename {daq/src => src}/aaredaq/devices.py (100%) rename {daq/src => src}/aaredaq/mlbox.py (100%) rename {daq/src => 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src}/aaregui/panels/smargon_panel.py (100%) rename {gui/src => src}/aaregui/panels/smart_rotation_panel.py (100%) rename {gui/src => src}/aaregui/panels/status_panel.py (100%) rename {gui/src => src}/aaregui/panels/tell_sample_panel.py (100%) rename {gui/src => src}/aaregui/panels/zoom_panel.py (100%) rename {gui/src/aaregui/panels => src/aaregui/scan_logic}/__init__.py (100%) rename {gui/src => src}/aaregui/scan_logic/raster_grid_manager.py (100%) rename {gui/src => src}/aaregui/scan_logic/rotation_scan_manager.py (100%) rename {gui/src => src}/aaregui/scan_logic/sample_mount_logic.py (100%) rename {gui/src/aaregui/scan_logic => src/aaregui/threads}/__init__.py (100%) rename {gui/src => src}/aaregui/threads/axis_video_thread.py (100%) rename {gui/src => src}/aaregui/threads/camera_thread.py (100%) rename {gui/src => src}/aaregui/threads/daq_worker.py (100%) rename {gui/src => src}/aaregui/threads/jfjoch_viewer.py (100%) rename {gui/src => src}/aaregui/threads/sse_client.py (100%) rename {gui/src/aaregui/threads => src/aaregui/widgets}/__init__.py (100%) rename {gui/src => src}/aaregui/widgets/button_with_payload.py (100%) rename {gui/src => src}/aaregui/widgets/camera_image.py (100%) rename {gui/src => src}/aaregui/widgets/clickable_label.py (100%) rename {gui/src => src}/aaregui/widgets/login.py (100%) rename {gui/src => src}/aaregui/widgets/message_box.py (100%) rename {gui/src => src}/aaregui/widgets/no_wheel_scroll_area.py (100%) rename {gui/src => src}/aaregui/widgets/number_line_edit.py (100%) rename {gui/src => src}/aaregui/widgets/pgroup_dialog.py (100%) rename {gui/src => src}/aaregui/widgets/raster_grid_table.py (100%) rename {gui/src => src}/aaregui/widgets/status_bar.py (100%) rename {gui/src => src}/aaregui/widgets/status_label.py (100%) rename {gui/src => src}/aaregui/widgets/title_label.py (100%) rename {gui/src => src}/aaregui/widgets/value_label.py (100%) rename {gui/src => src}/aaregui/widgets/video_image.py (100%) rename {gui/src/aaregui/widgets => src/mxlibs3}/__init__.py (100%) rename {daq/src => src}/mxlibs3/aerotech.py (100%) rename {daq/src => src}/mxlibs3/area_detector.py (100%) rename {daq/src => src}/mxlibs3/enum_pv.py (100%) rename {daq/src => src}/mxlibs3/experimental_hutch_shutter.py (100%) rename {daq/src => src}/mxlibs3/filter_transmission.py (100%) rename {daq/src => src}/mxlibs3/fluorimeter.py (100%) rename {daq/src => src}/mxlibs3/jfjoch.py (100%) rename {daq/src => src}/mxlibs3/mx_lib.py (100%) rename {daq/src => src}/mxlibs3/my_motor.py (100%) rename {daq/src => src}/mxlibs3/non_standard.py (100%) rename {daq/src => src}/mxlibs3/pshell_client.py (100%) rename {daq/src => src}/mxlibs3/smargon.py (100%) rename {daq/src => src}/mxlibs3/tell_client.py (100%) rename {daq/src => src}/mxlibs3/workflow_tools.py (100%) delete mode 100644 update_version.sh diff --git a/.gitea/workflows/action.yaml b/.gitea/workflows/action.yaml index 0873f206..f4afb563 100644 --- a/.gitea/workflows/action.yaml +++ b/.gitea/workflows/action.yaml @@ -1,24 +1,17 @@ name: Build and Publish + on: push: tags: - '*' branches: - master - - deploy - - 'feature/**' - - gitea-pages pull_request: branches: - master - - deploy pull_request_target: types: [closed] -env: - DEPLOY_BRANCH: gitea-pages - PREVIEWS_DIR: previews - jobs: build: runs-on: ubuntu-latest @@ -35,24 +28,8 @@ jobs: - name: Build the common wheel run: | - source venv/bin/activate - cd common/ - python -m build - mv dist/* ../dist - - - name: Build the GUI wheel - run: | - source venv/bin/activate - cd gui/ - python -m build - mv dist/* ../dist - - - name: Build the DAQ wheel - run: | - source venv/bin/activate - cd daq/ - python -m build - mv dist/* ../dist + source venv/bin/activate + python -m build - name: Upload Package to Gitea PyPI if: github.ref == 'refs/heads/main' && contains(github.event.head_commit.message, 'build and publish') @@ -63,146 +40,3 @@ jobs: source venv/bin/activate twine upload --repository-url https://gitea.psi.ch/api/packages/mx/pypi \ dist/* - - docs: - name: Build and Deploy Docs - runs-on: ubuntu-latest - needs: build - steps: - - name: Checkout Repository - uses: actions/checkout@v4 - with: - fetch-depth: 0 # needed for pushing branches/tags - - - name: Set up Python - uses: actions/setup-python@v4 - with: - python-version: '3.12' - - - name: Build Sphinx HTML - working-directory: daq/docs - run: | - # ensure on master - git fetch origin master:master || true - git checkout master || true - - # create venv one level up and activate it - python3 -m venv ../venv - source ../venv/bin/activate - - # ensure pip and Sphinx are installed in this venv - pip install --upgrade pip - pip install "Sphinx==8.2.3" - pip install myst-parser - pip install sphinx_immaterial - pip install linkify-it-py - - if [ -f requirements.txt ]; then - pip install -r requirements.txt - elif [ -f ../docs/requirements.txt ]; then - pip install -r ../docs/requirements.txt - else - # fallback to known packages if requirements file is not present - pip install "Sphinx==8.2.3" myst-parser sphinx_immaterial linkify-it-py - fi - - - # install project editable without deps (avoid private packages) - pip install -e ../ --no-deps - - # prefer the sphinx-apidoc CLI if available; otherwise try module fallback - if command -v sphinx-apidoc > /dev/null 2>&1; then - sphinx-apidoc -o modules/ ../src --separate --module-first --force --remove-old - else - # module fallback: some Sphinx installs expose the module at sphinx.ext.apidoc - python -m sphinx.ext.apidoc -o modules/ ../src --separate --module-first --force --remove-old - fi - - - # Build HTML (source is '.' because working-directory is docs) - # Run sphinx-build and capture exit code and full output to help debugging if it fails. - sphinx-build -b html . _build/html || { - echo "=== Sphinx build failed with exit $?: showing build output and tree ===" - echo "Contents of docs/ after build attempt:" - ls -la - echo "Contents of daq/docs/_build (if any):" - ls -la _build || true - # If sphinx produced a build log file, print it - if [ -f sphinx-build.log ]; then - echo "---- sphinx-build.log ----" - cat sphinx-build.log - fi - # Exit with non-zero to fail the job (avoid deploying empty site) - exit 1 - } - - # Sanity check: ensure HTML output exists before continuing to deploy - if [ ! -d _build/html ] || [ -z "$(ls -A _build/html)" ]; then - echo "ERROR: daq/docs/_build/html does not exist or is empty after successful sphinx-build." - ls -la _build || true - exit 1 - fi - - - name: Deploy to gitea-pages branch (Gitea) - env: - GIT_USER: "Martin Appleby (Gitea)" - GIT_EMAIL: "martin.appleby@psi.ch" - DEPLOY_TOKEN: ${{ secrets.DOCS_DEPLOY_TOKEN }} - run: | - set -e - git config --global user.name "$GIT_USER" - git config --global user.email "$GIT_EMAIL" - - # Deploy strategy: create/update branch gitea-pages and replace its contents - # with the generated daq/docs/_build/html. This keeps only the documentation - # on the gitea-pages branch. - # Confirm build output exists (relative to repository root) - BUILD_DIR="daq/docs/_build/html" - echo "Checking build output at: $BUILD_DIR" - if [ ! -d "$BUILD_DIR" ] || [ -z "$(ls -A "$BUILD_DIR")" ]; then - echo "ERROR: $BUILD_DIR does not exist or is empty" - echo "Listing docs/:" - ls -la docs || true - echo "Listing daq/docs/_build:" - ls -la daq/docs/_build || true - exit 1 - fi - # Work in a temporary clone to avoid touching the runner workspace - TMPDIR=$(mktemp -d) - REPO_URL="https://$DEPLOY_TOKEN@gitea.psi.ch/${{ github.repository }}" - git clone "$REPO_URL" "$TMPDIR" - cd "$TMPDIR" - - # Create or switch to orphan branch gitea-pages - if git rev-parse --verify --quiet gitea-pages >/dev/null; then - git checkout gitea-pages - # Make sure working tree matches branch (hard reset) - git fetch --prune origin gitea-pages || true - git reset --hard origin/gitea-pages || git reset --hard - else - git checkout --orphan gitea-pages - fi - # Remove all files tracked in the branch (leave .git) - git rm -rf . || true - # Also remove untracked files to ensure clean branch state - git clean -fdx || true - - # Copy built HTML into the clone root - echo "Copying built HTML into branch root..." - (cd "${GITHUB_WORKSPACE}/${BUILD_DIR}" && tar -cf - .) | tar -xf - -C "$TMPDIR" - - # Ensure index.html exists in destination as sanity check - if [ ! -f "$TMPDIR/index.html" ] && [ ! -f "$TMPDIR/index.htm" ]; then - # If site root index is not present, try to check subfolder - echo "Warning: no index.html found at branch root after copy. Listing files:" - ls -la "$TMPDIR" || true - fi - - git add --all - if git diff --quiet --cached; then - echo "No changes to deploy" - exit 0 - fi - COMMIT_DATE="$(date -u +'%Y-%m-%dT%H:%M:%SZ')" - git commit -m "docs: (${COMMIT_DATE}) | auto-update documentation from ${GITHUB_SHA}" - git push --force-with-lease origin gitea-pages diff --git a/daq/docs/CHANGELOG.md b/CHANGELOG.md similarity index 94% rename from daq/docs/CHANGELOG.md rename to CHANGELOG.md index 752cc5d4..d026006d 100644 --- a/daq/docs/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,6 @@ # Changelog -## 0.2.70 +## 0.3.0 +- Merge three repos into one, remove Ultralytics as dependency ### 0.2.69 - check beamline state before running raster, rotation and automation diff --git a/daq/docs/README.md b/README.md similarity index 100% rename from daq/docs/README.md rename to README.md diff --git a/common/pyproject.toml b/common/pyproject.toml deleted file mode 100644 index 65184d7e..00000000 --- a/common/pyproject.toml +++ /dev/null @@ -1,25 +0,0 @@ -[project] -name = "aaredaqlib" -version = "0.2.69" -description = "Libraries shared between AareDAQ and AareGUI" -readme = "README.md" -requires-python = ">=3.11" -dependencies = [ - "pydantic==2.11.4", - "numpy==2.2.5", - "jfjoch_client==1.0.0rc122", -] - -[lint] -ignore = ["F401", "F541", "W503", "W504"] - -[tool.uv.sources] -aaredb = { index = "psi"} - -[[tool.uv.index]] -name = "psi" -url = "https://gitea.psi.ch/api/packages/mx/pypi/simple" - -[build-system] -requires = ["setuptools>=75.6.0"] -build-backend = "setuptools.build_meta" diff --git a/daq/docs/conf.py b/daq/docs/conf.py deleted file mode 100644 index 4c0447ba..00000000 --- a/daq/docs/conf.py +++ /dev/null @@ -1,149 +0,0 @@ -# Configuration file for the Sphinx documentation builder. -# -# For the full list of built-in configuration values, see the documentation: -# https://www.sphinx-doc.org/en/master/usage/configuration.html - -# -- Project information ----------------------------------------------------- -# https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information -import os -import sys - -# Add project root to Python path so autodoc can import modules -sys.path.insert(0, os.path.abspath('..')) -sys.path.insert(0, os.path.abspath('../src')) # <-- ensure 'src' is on path -sys.path.insert(0, os.path.abspath('../src/aaredaq')) -sys.path.insert(0, os.path.abspath('../src/mxlibs3')) -sys.path.insert(0, os.path.abspath('../../common')) -sys.path.insert(0, os.path.abspath('../../common/src')) -sys.path.insert(0, os.path.abspath('../../common/src/aaredaqlib')) -sys.path.insert(0, os.path.abspath('../../gui')) -sys.path.insert(0, os.path.abspath('../../gui/src')) -sys.path.insert(0, os.path.abspath('../../gui/src/aaregui')) - -project = 'AareDAQ' -copyright = '2025, Paul Scherrer Institute' -author = 'M. Vears Appleby' -release = '0.2.70' -master_doc = 'index' -root_doc = 'index' -# -- General configuration --------------------------------------------------- -# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration - -autodoc_mock_imports = [ - 'cv2', - 'redis', - 'jfjoch_client', - 'epics', - 'sseclient', - 'jwt', - 'aaredb', - 'aareDBclient', - 'numpy', - 'requests', - 'PyYAML', - 'loguru', - 'utility_tools', - 'extract_results', - 'testxds', - 'db_slurm_handler', - 'websocket', - 'dateutil', - 'PySide6', - 'scipy', - 'redis_lock', - 'fastapi', - 'uvicorn', - 'pydantic' -] - -exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] - -extensions = [ - 'myst_parser', - 'sphinx_immaterial', - 'sphinx.ext.autodoc', # Add this - 'sphinx.ext.viewcode', # Optional: source code links - 'sphinx.ext.napoleon' # Optional: Google/NumPy docstring support -] - - -templates_path = ['_templates'] -exclude_patterns = [] -myst_enable_extensions = ['linkify', 'smartquotes'] - - -myst_heading_anchor = 3 - -# -- Options for HTML output ------------------------------------------------- -# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output - -html_theme = 'sphinx_immaterial' -# html_static_path = ['../broker/redoc-static.html'] -#html_theme_options = { -# 'sidebar_width': '300px', -# 'page_width': 'auto' -#} - -# html_theme_options = { -# 'repo_url': 'https://gitea.psi.ch/mx/aaredaq', -# 'repo_name': 'AareDaq', -# 'nav_title': 'PSI AareDaq', -# # 'html_minify': True, -# # 'css_minify': True, -# 'globaltoc_depth': 2, -# # 'repo_type': 'gitlab', -# 'color_primary': 'indigo', -# 'color_accent': 'lime', -# # 'logo_icon': '' -# } - -# html_logo = 'jfjoch.png' -# html_favicon = 'jfjoch.png' -html_theme_options = { - "icon": { - "repo": "fontawesome/brands/github", # or gitlab/gitea icon - }, - "site_url": "https://gitea.psi.ch/mx/aaredaq", - "repo_url": "https://gitea.psi.ch/mx/aaredaq", - "repo_name": "AareDAQ", - "palette": [ - { - "media": "(prefers-color-scheme: light)", - "scheme": "default", - "primary": "indigo", - "accent": "lime", - "toggle": { - "icon": "material/lightbulb-outline", - "name": "Switch to dark mode", - }, - }, - { - "media": "(prefers-color-scheme: dark)", - "scheme": "slate", - "primary": "indigo", - "accent": "lime", - "toggle": { - "icon": "material/lightbulb", - "name": "Switch to light mode", - }, - }, - ], - "features": [ - "navigation.expand", - "navigation.sections", - "navigation.top", - "search.share", - "toc.follow", - ], - "globaltoc_collapse": False, -} -html_theme_options["google_fonts"] = [] -html_sidebars = { - "**": ["logo-text.html", "globaltoc.html", "searchbox.html"] -} - - -html_show_sourcelink = False - -# language = "Python" - diff --git a/daq/docs/index.rst b/daq/docs/index.rst deleted file mode 100644 index 40f6181d..00000000 --- a/daq/docs/index.rst +++ /dev/null @@ -1,30 +0,0 @@ -.. AareProc documentation master file, created by - sphinx-quickstart on Sun Dec 21 14:22:05 2025. - You can adapt this file completely to your liking, but it should at least - contain the root `toctree` directive. - -Welcome to AareDAQ's documentation! -==================================== - -.. toctree:: - :maxdepth: 2 - :caption: Contents: - :glob: - - README - CHANGELOG - -.. toctree:: - :maxdepth: 4 - :caption: OpenAPI Python client - - modules/src.aaredaq - modules/src.mxlibs3 - -Indices and tables -================== - -* :ref:`genindex` -* :ref:`modindex` -* :ref:`search` - diff --git a/daq/docs/requirements.txt b/daq/docs/requirements.txt deleted file mode 100644 index 86a4ba7f..00000000 --- a/daq/docs/requirements.txt +++ /dev/null @@ -1,37 +0,0 @@ -alabaster==1.0.0 -babel==2.16.0 -beautifulsoup4==4.12.3 -certifi==2024.8.30 -charset-normalizer==3.4.0 -css-html-js-minify==2.5.5 -docutils==0.21.2 -idna==3.10 -imagesize==1.4.1 -Jinja2==3.1.4 -linkify-it-py==2.0.3 -lxml==5.3.0 -markdown-it-py==3.0.0 -MarkupSafe==3.0.2 -mdit-py-plugins==0.4.2 -mdurl==0.1.2 -myst-parser==4.0.0 -packaging==24.2 -Pygments==2.18.0 -python-slugify==8.0.4 -PyYAML==6.0.2 -requests==2.32.3 -snowballstemmer==2.2.0 -soupsieve==2.6 -Sphinx==8.1.3 -sphinx-material==0.0.36 -sphinxcontrib-applehelp==2.0.0 -sphinxcontrib-devhelp==2.0.0 -sphinxcontrib-htmlhelp==2.1.0 -sphinxcontrib-jsmath==1.0.1 -sphinxcontrib-qthelp==2.0.0 -sphinxcontrib-serializinghtml==2.0.0 -text-unidecode==1.3 -uc-micro-py==1.0.3 -Unidecode==1.3.8 -urllib3==2.2.3 -sphinx_immaterial==0.13.8 diff --git a/gui/pyproject.toml b/gui/pyproject.toml deleted file mode 100644 index 86896082..00000000 --- a/gui/pyproject.toml +++ /dev/null @@ -1,28 +0,0 @@ -[project] -name = "aaregui" -version = "0.2.69" -description = "Beamline control GUI" -readme = "README.md" -requires-python = ">=3.11" -dependencies = [ - "pyjwt==2.10.1", - "pyzmq==26.4.0", - "opencv-python-headless==4.11.0.86", - "PySide6==6.9.0", - "aaredaqlib==0.2.69" -] - -[lint] -ignore = ["F401", "F541", "W503", "W504"] - -[build-system] -requires = ["setuptools>=75.6.0"] -build-backend = "setuptools.build_meta" - -[tool.uv.sources] -aaredb = { index = "psi"} - -[[tool.uv.index]] -name = "psi" -url = "https://gitea.psi.ch/api/packages/mx/pypi/simple" - diff --git a/daq/pyproject.toml b/pyproject.toml similarity index 74% rename from daq/pyproject.toml rename to pyproject.toml index d87c7a2e..e17f11cd 100644 --- a/daq/pyproject.toml +++ b/pyproject.toml @@ -1,15 +1,21 @@ [project] name = "aaredaq" -version = "0.2.69" -description = "AareDAQ data acquisition server" +version = "0.3.0" +description = "AareDAQ (with GUI)" readme = "README.md" requires-python = ">=3.11" dependencies = [ + "pydantic==2.11.4", + "numpy==2.2.5", + "jfjoch_client==1.0.0rc122", + "pyJWT==2.10.1", + "pyzmq==26.4.0", + "opencv-python-headless==4.11.0.86", + "PySide6==6.9.0", "requests==2.32.4", "pyepics==3.5.8", "redis==6.2.0", "python-redis-lock==4.0.0", - "PyJWT==2.10.1", "fastapi==0.115.13", "uvicorn==0.34.2", "aaredb==0.1.1a33", @@ -17,7 +23,6 @@ dependencies = [ "python_multipart==0.0.20", "websocket-client==1.8.0", "sseclient-py==1.8.0", - "aaredaqlib==0.2.69" ] [lint] diff --git a/scripts/knife_edge_scan.ipynb b/scripts/knife_edge_scan.ipynb index a05a73d7..f5a35345 100644 --- a/scripts/knife_edge_scan.ipynb +++ b/scripts/knife_edge_scan.ipynb @@ -16,7 +16,7 @@ "cell_type": "code", "source": [ "from aaredaq.devices import BeamlineDevices\n", - "from aaredaqlib.beamline import MXBeamline" + "from aaredaqlib import MXBeamline" ], "id": "d2efa08de2dbd46b", "outputs": [], diff --git a/common/src/aaredaqlib/__init__.py b/src/aaredaq/__init__.py similarity index 100% rename from common/src/aaredaqlib/__init__.py rename to src/aaredaq/__init__.py diff --git a/daq/src/aaredaq/aaredb.py b/src/aaredaq/aaredb.py similarity index 100% rename from daq/src/aaredaq/aaredb.py rename to src/aaredaq/aaredb.py diff --git a/daq/src/aaredaq/auth.py b/src/aaredaq/auth.py similarity index 100% rename from daq/src/aaredaq/auth.py rename to src/aaredaq/auth.py diff --git a/daq/src/aaredaq/autofocus.py b/src/aaredaq/autofocus.py similarity index 100% rename from daq/src/aaredaq/autofocus.py rename to src/aaredaq/autofocus.py diff --git a/daq/src/aaredaq/beamcenterfit.py b/src/aaredaq/beamcenterfit.py similarity index 100% rename from daq/src/aaredaq/beamcenterfit.py rename to src/aaredaq/beamcenterfit.py diff --git a/daq/src/aaredaq/config.py b/src/aaredaq/config.py similarity index 100% rename from daq/src/aaredaq/config.py rename to src/aaredaq/config.py diff --git a/daq/src/aaredaq/daq.py b/src/aaredaq/daq.py similarity index 99% rename from daq/src/aaredaq/daq.py rename to src/aaredaq/daq.py index f3667a45..f9d95831 100644 --- a/daq/src/aaredaq/daq.py +++ b/src/aaredaq/daq.py @@ -1,5 +1,4 @@ import copy -import json import secrets import time from datetime import datetime @@ -22,7 +21,7 @@ from aaredaqlib.beamline import MXBeamline from aaredaqlib.coordinate import Coordinate, SmargonCoordinate from aaredaqlib.diffraction_geometry import DiffractionGeometry from aaredaqlib.find_xtal import raster_centre_of_mass, create_quality_filtered_array, identify_crystal_raster, \ - get_result_list_from_com, get_best_b_factor, get_best_res, get_xtal_size, has_sufficient_low_res_spots + get_result_list_from_com, get_best_b_factor, get_best_res, get_xtal_size from aaredaqlib.logger_config import setup_logger from aaredaqlib.models import ( SampleShortInfo, diff --git a/daq/src/aaredaq/devices.py b/src/aaredaq/devices.py similarity index 100% rename from daq/src/aaredaq/devices.py rename to src/aaredaq/devices.py diff --git a/daq/src/aaredaq/mlbox.py b/src/aaredaq/mlbox.py similarity index 100% rename from daq/src/aaredaq/mlbox.py rename to src/aaredaq/mlbox.py diff --git a/daq/src/aaredaq/server.py b/src/aaredaq/server.py similarity index 99% rename from daq/src/aaredaq/server.py rename to src/aaredaq/server.py index 283317d4..20d7fa62 100644 --- a/daq/src/aaredaq/server.py +++ b/src/aaredaq/server.py @@ -1,7 +1,7 @@ import asyncio import io import os, time -from typing import Tuple, AsyncGenerator +from typing import AsyncGenerator import json import cv2 import urllib3 @@ -20,7 +20,6 @@ from fastapi import HTTPException from fastapi import status as api_status from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm from starlette.responses import StreamingResponse -from urllib3.exceptions import InsecureRequestWarning from aaredaq import auth from aaredaqlib.beamline import mx_beamline diff --git a/daq/src/aaredaq/spreadsheetupdater.py b/src/aaredaq/spreadsheetupdater.py similarity index 100% rename from daq/src/aaredaq/spreadsheetupdater.py rename to src/aaredaq/spreadsheetupdater.py diff --git a/daq/src/aaredaq/tellupdater.py b/src/aaredaq/tellupdater.py similarity index 100% rename from daq/src/aaredaq/tellupdater.py rename to src/aaredaq/tellupdater.py diff --git a/daq/src/aaredaq/workflows.py b/src/aaredaq/workflows.py similarity index 100% rename from daq/src/aaredaq/workflows.py rename to src/aaredaq/workflows.py diff --git a/daq/src/aaredaq/__init__.py b/src/aaredaqlib/__init__.py similarity index 100% rename from daq/src/aaredaq/__init__.py rename to src/aaredaqlib/__init__.py diff --git a/common/src/aaredaqlib/beamline.py b/src/aaredaqlib/beamline.py similarity index 100% rename from common/src/aaredaqlib/beamline.py rename to src/aaredaqlib/beamline.py diff --git a/common/src/aaredaqlib/coordinate.py b/src/aaredaqlib/coordinate.py similarity index 100% rename from common/src/aaredaqlib/coordinate.py rename to src/aaredaqlib/coordinate.py diff --git a/common/src/aaredaqlib/diffraction_geometry.py b/src/aaredaqlib/diffraction_geometry.py similarity index 100% rename from common/src/aaredaqlib/diffraction_geometry.py rename to src/aaredaqlib/diffraction_geometry.py diff --git a/common/src/aaredaqlib/face_detection.py b/src/aaredaqlib/face_detection.py similarity index 100% rename from common/src/aaredaqlib/face_detection.py rename to src/aaredaqlib/face_detection.py diff --git a/common/src/aaredaqlib/find_xtal.py b/src/aaredaqlib/find_xtal.py similarity index 100% rename from common/src/aaredaqlib/find_xtal.py rename to src/aaredaqlib/find_xtal.py diff --git a/common/src/aaredaqlib/logger_config.py b/src/aaredaqlib/logger_config.py similarity index 100% rename from common/src/aaredaqlib/logger_config.py rename to src/aaredaqlib/logger_config.py diff --git a/common/src/aaredaqlib/models.py b/src/aaredaqlib/models.py similarity index 100% rename from common/src/aaredaqlib/models.py rename to src/aaredaqlib/models.py diff --git a/common/src/aaredaqlib/raster_grid.py b/src/aaredaqlib/raster_grid.py similarity index 100% rename from common/src/aaredaqlib/raster_grid.py rename to src/aaredaqlib/raster_grid.py diff --git a/common/src/aaredaqlib/rotation_scan.py b/src/aaredaqlib/rotation_scan.py similarity index 100% rename from common/src/aaredaqlib/rotation_scan.py rename to src/aaredaqlib/rotation_scan.py diff --git a/common/src/aaredaqlib/sample_geometry.py b/src/aaredaqlib/sample_geometry.py similarity index 100% rename from common/src/aaredaqlib/sample_geometry.py rename to src/aaredaqlib/sample_geometry.py diff --git a/daq/src/mxlibs3/__init__.py b/src/aaregui/__init__.py similarity index 100% rename from daq/src/mxlibs3/__init__.py rename to src/aaregui/__init__.py diff --git a/gui/src/aaregui/auth.py b/src/aaregui/auth.py similarity index 100% rename from gui/src/aaregui/auth.py rename to src/aaregui/auth.py diff --git a/gui/src/aaregui/gui.py b/src/aaregui/gui.py similarity index 100% rename from gui/src/aaregui/gui.py rename to src/aaregui/gui.py diff --git a/gui/src/aaregui/main_window.py b/src/aaregui/main_window.py similarity index 100% rename from gui/src/aaregui/main_window.py rename to src/aaregui/main_window.py diff --git a/gui/src/aaregui/__init__.py b/src/aaregui/models/__init__.py similarity index 100% rename from gui/src/aaregui/__init__.py rename to src/aaregui/models/__init__.py diff --git a/gui/src/aaregui/models/bookmark.py b/src/aaregui/models/bookmark.py similarity index 100% rename from gui/src/aaregui/models/bookmark.py rename to src/aaregui/models/bookmark.py diff --git a/gui/src/aaregui/models/sample_queue_model.py b/src/aaregui/models/sample_queue_model.py similarity index 100% rename from gui/src/aaregui/models/sample_queue_model.py rename to src/aaregui/models/sample_queue_model.py diff --git a/gui/src/aaregui/models/user_sample_model.py b/src/aaregui/models/user_sample_model.py similarity index 100% rename from gui/src/aaregui/models/user_sample_model.py rename to src/aaregui/models/user_sample_model.py diff --git a/gui/src/aaregui/panels/LogPanel.py b/src/aaregui/panels/LogPanel.py similarity index 100% rename from gui/src/aaregui/panels/LogPanel.py rename to src/aaregui/panels/LogPanel.py diff --git a/gui/src/aaregui/models/__init__.py b/src/aaregui/panels/__init__.py similarity index 100% rename from gui/src/aaregui/models/__init__.py rename to src/aaregui/panels/__init__.py diff --git a/gui/src/aaregui/panels/abr_tweak_panel.py b/src/aaregui/panels/abr_tweak_panel.py similarity index 100% rename from gui/src/aaregui/panels/abr_tweak_panel.py rename to src/aaregui/panels/abr_tweak_panel.py diff --git a/gui/src/aaregui/panels/beam_center_panel.py b/src/aaregui/panels/beam_center_panel.py similarity index 100% rename from gui/src/aaregui/panels/beam_center_panel.py rename to src/aaregui/panels/beam_center_panel.py diff --git a/gui/src/aaregui/panels/beam_mark_panel.py b/src/aaregui/panels/beam_mark_panel.py similarity index 100% rename from gui/src/aaregui/panels/beam_mark_panel.py rename to src/aaregui/panels/beam_mark_panel.py diff --git a/gui/src/aaregui/panels/beam_size_panel.py b/src/aaregui/panels/beam_size_panel.py similarity index 100% rename from gui/src/aaregui/panels/beam_size_panel.py rename to src/aaregui/panels/beam_size_panel.py diff --git a/gui/src/aaregui/panels/beamline_controls.py b/src/aaregui/panels/beamline_controls.py similarity index 100% rename from gui/src/aaregui/panels/beamline_controls.py rename to src/aaregui/panels/beamline_controls.py diff --git a/gui/src/aaregui/panels/beamline_state_panel.py b/src/aaregui/panels/beamline_state_panel.py similarity index 100% rename from gui/src/aaregui/panels/beamline_state_panel.py rename to src/aaregui/panels/beamline_state_panel.py diff --git a/gui/src/aaregui/panels/data_collection_settings.py b/src/aaregui/panels/data_collection_settings.py similarity index 100% rename from gui/src/aaregui/panels/data_collection_settings.py rename to src/aaregui/panels/data_collection_settings.py diff --git a/gui/src/aaregui/panels/face_detection_panel.py b/src/aaregui/panels/face_detection_panel.py similarity index 100% rename from gui/src/aaregui/panels/face_detection_panel.py rename to src/aaregui/panels/face_detection_panel.py diff --git a/gui/src/aaregui/panels/file_path_panel.py b/src/aaregui/panels/file_path_panel.py similarity index 100% rename from gui/src/aaregui/panels/file_path_panel.py rename to src/aaregui/panels/file_path_panel.py diff --git a/gui/src/aaregui/panels/fluorescence_data_collection.py b/src/aaregui/panels/fluorescence_data_collection.py similarity index 100% rename from gui/src/aaregui/panels/fluorescence_data_collection.py rename to src/aaregui/panels/fluorescence_data_collection.py diff --git a/gui/src/aaregui/panels/fluorescence_panel.py b/src/aaregui/panels/fluorescence_panel.py similarity index 100% rename from gui/src/aaregui/panels/fluorescence_panel.py rename to src/aaregui/panels/fluorescence_panel.py diff --git a/gui/src/aaregui/panels/illumination_panel.py b/src/aaregui/panels/illumination_panel.py similarity index 100% rename from gui/src/aaregui/panels/illumination_panel.py rename to src/aaregui/panels/illumination_panel.py diff --git a/gui/src/aaregui/panels/loop_centering_panel.py b/src/aaregui/panels/loop_centering_panel.py similarity index 100% rename from gui/src/aaregui/panels/loop_centering_panel.py rename to src/aaregui/panels/loop_centering_panel.py diff --git a/gui/src/aaregui/panels/manual_sample_panel.py b/src/aaregui/panels/manual_sample_panel.py similarity index 100% rename from gui/src/aaregui/panels/manual_sample_panel.py rename to src/aaregui/panels/manual_sample_panel.py diff --git a/gui/src/aaregui/panels/omega_panel.py b/src/aaregui/panels/omega_panel.py similarity index 100% rename from gui/src/aaregui/panels/omega_panel.py rename to src/aaregui/panels/omega_panel.py diff --git a/gui/src/aaregui/panels/raster_data_collection.py b/src/aaregui/panels/raster_data_collection.py similarity index 100% rename from gui/src/aaregui/panels/raster_data_collection.py rename to src/aaregui/panels/raster_data_collection.py diff --git a/gui/src/aaregui/panels/reference_tools_panel.py b/src/aaregui/panels/reference_tools_panel.py similarity index 100% rename from gui/src/aaregui/panels/reference_tools_panel.py rename to src/aaregui/panels/reference_tools_panel.py diff --git a/gui/src/aaregui/panels/rotation_data_collection.py b/src/aaregui/panels/rotation_data_collection.py similarity index 100% rename from gui/src/aaregui/panels/rotation_data_collection.py rename to src/aaregui/panels/rotation_data_collection.py diff --git a/gui/src/aaregui/panels/samcam_panel.py b/src/aaregui/panels/samcam_panel.py similarity index 100% rename from gui/src/aaregui/panels/samcam_panel.py rename to src/aaregui/panels/samcam_panel.py diff --git a/gui/src/aaregui/panels/sample_queue_panel.py b/src/aaregui/panels/sample_queue_panel.py similarity index 100% rename from gui/src/aaregui/panels/sample_queue_panel.py rename to src/aaregui/panels/sample_queue_panel.py diff --git a/gui/src/aaregui/panels/scan_settings_panel.py b/src/aaregui/panels/scan_settings_panel.py similarity index 100% rename from gui/src/aaregui/panels/scan_settings_panel.py rename to src/aaregui/panels/scan_settings_panel.py diff --git a/gui/src/aaregui/panels/smargon_panel.py b/src/aaregui/panels/smargon_panel.py similarity index 100% rename from gui/src/aaregui/panels/smargon_panel.py rename to src/aaregui/panels/smargon_panel.py diff --git a/gui/src/aaregui/panels/smart_rotation_panel.py b/src/aaregui/panels/smart_rotation_panel.py similarity index 100% rename from gui/src/aaregui/panels/smart_rotation_panel.py rename to src/aaregui/panels/smart_rotation_panel.py diff --git a/gui/src/aaregui/panels/status_panel.py b/src/aaregui/panels/status_panel.py similarity index 100% rename from gui/src/aaregui/panels/status_panel.py rename to src/aaregui/panels/status_panel.py diff --git a/gui/src/aaregui/panels/tell_sample_panel.py b/src/aaregui/panels/tell_sample_panel.py similarity index 100% rename from gui/src/aaregui/panels/tell_sample_panel.py rename to src/aaregui/panels/tell_sample_panel.py diff --git a/gui/src/aaregui/panels/zoom_panel.py b/src/aaregui/panels/zoom_panel.py similarity index 100% rename from gui/src/aaregui/panels/zoom_panel.py rename to src/aaregui/panels/zoom_panel.py diff --git a/gui/src/aaregui/panels/__init__.py b/src/aaregui/scan_logic/__init__.py similarity index 100% rename from gui/src/aaregui/panels/__init__.py rename to src/aaregui/scan_logic/__init__.py diff --git a/gui/src/aaregui/scan_logic/raster_grid_manager.py b/src/aaregui/scan_logic/raster_grid_manager.py similarity index 100% rename from gui/src/aaregui/scan_logic/raster_grid_manager.py rename to src/aaregui/scan_logic/raster_grid_manager.py diff --git a/gui/src/aaregui/scan_logic/rotation_scan_manager.py b/src/aaregui/scan_logic/rotation_scan_manager.py similarity index 100% rename from gui/src/aaregui/scan_logic/rotation_scan_manager.py rename to src/aaregui/scan_logic/rotation_scan_manager.py diff --git a/gui/src/aaregui/scan_logic/sample_mount_logic.py b/src/aaregui/scan_logic/sample_mount_logic.py similarity index 100% rename from gui/src/aaregui/scan_logic/sample_mount_logic.py rename to src/aaregui/scan_logic/sample_mount_logic.py diff --git a/gui/src/aaregui/scan_logic/__init__.py b/src/aaregui/threads/__init__.py similarity index 100% rename from gui/src/aaregui/scan_logic/__init__.py rename to src/aaregui/threads/__init__.py diff --git a/gui/src/aaregui/threads/axis_video_thread.py b/src/aaregui/threads/axis_video_thread.py similarity index 100% rename from gui/src/aaregui/threads/axis_video_thread.py rename to src/aaregui/threads/axis_video_thread.py diff --git a/gui/src/aaregui/threads/camera_thread.py b/src/aaregui/threads/camera_thread.py similarity index 100% rename from gui/src/aaregui/threads/camera_thread.py rename to src/aaregui/threads/camera_thread.py diff --git a/gui/src/aaregui/threads/daq_worker.py b/src/aaregui/threads/daq_worker.py similarity index 100% rename from gui/src/aaregui/threads/daq_worker.py rename to src/aaregui/threads/daq_worker.py diff --git a/gui/src/aaregui/threads/jfjoch_viewer.py b/src/aaregui/threads/jfjoch_viewer.py similarity index 100% rename from gui/src/aaregui/threads/jfjoch_viewer.py rename to src/aaregui/threads/jfjoch_viewer.py diff --git a/gui/src/aaregui/threads/sse_client.py b/src/aaregui/threads/sse_client.py similarity index 100% rename from gui/src/aaregui/threads/sse_client.py rename to src/aaregui/threads/sse_client.py diff --git a/gui/src/aaregui/threads/__init__.py b/src/aaregui/widgets/__init__.py similarity index 100% rename from gui/src/aaregui/threads/__init__.py rename to src/aaregui/widgets/__init__.py diff --git a/gui/src/aaregui/widgets/button_with_payload.py b/src/aaregui/widgets/button_with_payload.py similarity index 100% rename from gui/src/aaregui/widgets/button_with_payload.py rename to src/aaregui/widgets/button_with_payload.py diff --git a/gui/src/aaregui/widgets/camera_image.py b/src/aaregui/widgets/camera_image.py similarity index 100% rename from gui/src/aaregui/widgets/camera_image.py rename to src/aaregui/widgets/camera_image.py diff --git a/gui/src/aaregui/widgets/clickable_label.py b/src/aaregui/widgets/clickable_label.py similarity index 100% rename from gui/src/aaregui/widgets/clickable_label.py rename to src/aaregui/widgets/clickable_label.py diff --git a/gui/src/aaregui/widgets/login.py b/src/aaregui/widgets/login.py similarity index 100% rename from gui/src/aaregui/widgets/login.py rename to src/aaregui/widgets/login.py diff --git a/gui/src/aaregui/widgets/message_box.py b/src/aaregui/widgets/message_box.py similarity index 100% rename from gui/src/aaregui/widgets/message_box.py rename to src/aaregui/widgets/message_box.py diff --git a/gui/src/aaregui/widgets/no_wheel_scroll_area.py b/src/aaregui/widgets/no_wheel_scroll_area.py similarity index 100% rename from gui/src/aaregui/widgets/no_wheel_scroll_area.py rename to src/aaregui/widgets/no_wheel_scroll_area.py diff --git a/gui/src/aaregui/widgets/number_line_edit.py b/src/aaregui/widgets/number_line_edit.py similarity index 100% rename from gui/src/aaregui/widgets/number_line_edit.py rename to src/aaregui/widgets/number_line_edit.py diff --git a/gui/src/aaregui/widgets/pgroup_dialog.py b/src/aaregui/widgets/pgroup_dialog.py similarity index 100% rename from gui/src/aaregui/widgets/pgroup_dialog.py rename to src/aaregui/widgets/pgroup_dialog.py diff --git a/gui/src/aaregui/widgets/raster_grid_table.py b/src/aaregui/widgets/raster_grid_table.py similarity index 100% rename from gui/src/aaregui/widgets/raster_grid_table.py rename to src/aaregui/widgets/raster_grid_table.py diff --git a/gui/src/aaregui/widgets/status_bar.py b/src/aaregui/widgets/status_bar.py similarity index 100% rename from gui/src/aaregui/widgets/status_bar.py rename to src/aaregui/widgets/status_bar.py diff --git a/gui/src/aaregui/widgets/status_label.py b/src/aaregui/widgets/status_label.py similarity index 100% rename from gui/src/aaregui/widgets/status_label.py rename to src/aaregui/widgets/status_label.py diff --git a/gui/src/aaregui/widgets/title_label.py b/src/aaregui/widgets/title_label.py similarity index 100% rename from gui/src/aaregui/widgets/title_label.py rename to src/aaregui/widgets/title_label.py diff --git a/gui/src/aaregui/widgets/value_label.py b/src/aaregui/widgets/value_label.py similarity index 100% rename from gui/src/aaregui/widgets/value_label.py rename to src/aaregui/widgets/value_label.py diff --git a/gui/src/aaregui/widgets/video_image.py b/src/aaregui/widgets/video_image.py similarity index 100% rename from gui/src/aaregui/widgets/video_image.py rename to src/aaregui/widgets/video_image.py diff --git a/gui/src/aaregui/widgets/__init__.py b/src/mxlibs3/__init__.py similarity index 100% rename from gui/src/aaregui/widgets/__init__.py rename to src/mxlibs3/__init__.py diff --git a/daq/src/mxlibs3/aerotech.py b/src/mxlibs3/aerotech.py similarity index 100% rename from daq/src/mxlibs3/aerotech.py rename to src/mxlibs3/aerotech.py diff --git a/daq/src/mxlibs3/area_detector.py b/src/mxlibs3/area_detector.py similarity index 100% rename from daq/src/mxlibs3/area_detector.py rename to src/mxlibs3/area_detector.py diff --git a/daq/src/mxlibs3/enum_pv.py b/src/mxlibs3/enum_pv.py similarity index 100% rename from daq/src/mxlibs3/enum_pv.py rename to src/mxlibs3/enum_pv.py diff --git a/daq/src/mxlibs3/experimental_hutch_shutter.py b/src/mxlibs3/experimental_hutch_shutter.py similarity index 100% rename from daq/src/mxlibs3/experimental_hutch_shutter.py rename to src/mxlibs3/experimental_hutch_shutter.py diff --git a/daq/src/mxlibs3/filter_transmission.py b/src/mxlibs3/filter_transmission.py similarity index 100% rename from daq/src/mxlibs3/filter_transmission.py rename to src/mxlibs3/filter_transmission.py diff --git a/daq/src/mxlibs3/fluorimeter.py b/src/mxlibs3/fluorimeter.py similarity index 100% rename from daq/src/mxlibs3/fluorimeter.py rename to src/mxlibs3/fluorimeter.py diff --git a/daq/src/mxlibs3/jfjoch.py b/src/mxlibs3/jfjoch.py similarity index 100% rename from daq/src/mxlibs3/jfjoch.py rename to src/mxlibs3/jfjoch.py diff --git a/daq/src/mxlibs3/mx_lib.py b/src/mxlibs3/mx_lib.py similarity index 100% rename from daq/src/mxlibs3/mx_lib.py rename to src/mxlibs3/mx_lib.py diff --git a/daq/src/mxlibs3/my_motor.py b/src/mxlibs3/my_motor.py similarity index 100% rename from daq/src/mxlibs3/my_motor.py rename to src/mxlibs3/my_motor.py diff --git a/daq/src/mxlibs3/non_standard.py b/src/mxlibs3/non_standard.py similarity index 100% rename from daq/src/mxlibs3/non_standard.py rename to src/mxlibs3/non_standard.py diff --git a/daq/src/mxlibs3/pshell_client.py b/src/mxlibs3/pshell_client.py similarity index 100% rename from daq/src/mxlibs3/pshell_client.py rename to src/mxlibs3/pshell_client.py diff --git a/daq/src/mxlibs3/smargon.py b/src/mxlibs3/smargon.py similarity index 100% rename from daq/src/mxlibs3/smargon.py rename to src/mxlibs3/smargon.py diff --git a/daq/src/mxlibs3/tell_client.py b/src/mxlibs3/tell_client.py similarity index 100% rename from daq/src/mxlibs3/tell_client.py rename to src/mxlibs3/tell_client.py diff --git a/daq/src/mxlibs3/workflow_tools.py b/src/mxlibs3/workflow_tools.py similarity index 100% rename from daq/src/mxlibs3/workflow_tools.py rename to src/mxlibs3/workflow_tools.py diff --git a/update_version.sh b/update_version.sh deleted file mode 100644 index ebff14ba..00000000 --- a/update_version.sh +++ /dev/null @@ -1,9 +0,0 @@ -#/bin/bash - -VERSION=$( Date: Thu, 15 Jan 2026 13:47:02 +0100 Subject: [PATCH 005/144] Remove scripts --- scripts/alc_bkg_comp.ipynb | 804 ---------------------------------- scripts/knife_edge_scan.ipynb | 509 --------------------- 2 files changed, 1313 deletions(-) delete mode 100644 scripts/alc_bkg_comp.ipynb delete mode 100644 scripts/knife_edge_scan.ipynb diff --git a/scripts/alc_bkg_comp.ipynb b/scripts/alc_bkg_comp.ipynb deleted file mode 100644 index e8ce5627..00000000 --- a/scripts/alc_bkg_comp.ipynb +++ /dev/null @@ -1,804 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "id": "initial_id", - "metadata": { - "collapsed": true, - "ExecuteTime": { - "end_time": "2025-09-09T06:54:20.171830792Z", - "start_time": "2025-09-03T09:37:36.977231Z" - } - }, - "source": [ - "import cv2\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns" - ], - "outputs": [], - "execution_count": 47 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-09-03T09:20:49.172543Z", - "start_time": "2025-09-03T09:20:49.169238Z" - } - }, - "cell_type": "code", - "source": "threshold = 5", - "id": "19360e6dda22efb5", - "outputs": [], - "execution_count": 30 - }, - { - "metadata": { - "jupyter": { - "is_executing": true - } - }, - "cell_type": "code", - "source": [ - "bkg = cv2.imread(\"/home/leonarski_f/aaredaq/daq/src/aaredaq/bkg1_50_50.jpg\")\n", - "curr_img = cv2.imread(\"/home/leonarski_f/aaredaq/daq/src/aaredaq/1002_0_1_50_50_curr_image.tiff\")" - ], - "id": "9fac6cc561e58b70", - "outputs": [], - "execution_count": null - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-09-05T11:27:26.501898Z", - "start_time": "2025-09-05T11:27:26.496995Z" - } - }, - "cell_type": "code", - "source": [ - "def flatfield_correction(raw_image, flat_image, dark_image=None):\n", - " \"\"\"\n", - " Apply flat-field correction to remove uneven illumination\n", - "\n", - " Args:\n", - " raw_image: Your actual image with crystal\n", - " flat_image: Image of uniform illumination (no sample)\n", - " dark_image: Dark frame (camera with no light), optional\n", - " \"\"\"\n", - " # Convert to float for calculations\n", - " raw = raw_image.astype(np.float32)\n", - " flat = flat_image.astype(np.float32)\n", - "\n", - " if dark_image is not None:\n", - " dark = dark_image.astype(np.float32)\n", - " # Subtract dark frame from both\n", - " raw_corrected = raw - dark\n", - " flat_corrected = flat - dark\n", - " else:\n", - " raw_corrected = raw\n", - " flat_corrected = flat\n", - "\n", - " # Avoid division by zero\n", - " flat_corrected[flat_corrected == 0] = 1\n", - "\n", - " # Apply correction\n", - " mean_flat = np.mean(flat_corrected)\n", - " corrected = (raw_corrected / flat_corrected) * mean_flat\n", - "\n", - " # Convert back to original dtype\n", - " return np.clip(corrected, 0, 255).astype(raw_image.dtype)" - ], - "id": "114345da7d31b16d", - "outputs": [], - "execution_count": 139 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-09-05T11:43:24.969687Z", - "start_time": "2025-09-05T11:43:24.954049Z" - } - }, - "cell_type": "code", - "source": [ - "def create_ring_mask(image, center=None, inner_radius=50, outer_radius=100):\n", - " \"\"\"\n", - " Create a mask to exclude a ring region\n", - "\n", - " Args:\n", - " image_shape: (height, width) of your image\n", - " center: (cx, cy) center of ring, None for image center\n", - " inner_radius: Inner radius of ring to mask out\n", - " outer_radius: Outer radius of ring to mask out\n", - "\n", - " Returns:\n", - " mask: Binary mask (0 = exclude ring, 255 = use for correction)\n", - " \"\"\"\n", - "\n", - " if len(image.shape) == 3:\n", - " h, w, _ = image.shape\n", - " else:\n", - " h, w = image.shape\n", - "\n", - "\n", - " if center is None:\n", - " center = (w // 2, h // 2)\n", - "\n", - " # Create coordinate arrays\n", - " cx, cy = center\n", - "\n", - " w = int(w)\n", - " h = int(h)\n", - "\n", - "\n", - " x = np.arange(w)\n", - " y = np.arange(h)\n", - " X, Y = np.meshgrid(x, y)\n", - "\n", - " # Calculate distances from center\n", - " distances = np.sqrt((X - cx)**2 + (Y - cy)**2)\n", - "\n", - "\n", - " # Create mask: exclude the ring region\n", - " mask = np.ones((h, w), dtype=np.uint8) * 255\n", - " ring_region = (distances >= inner_radius) & (distances <= outer_radius)\n", - " mask[ring_region] = 0\n", - "\n", - " return mask\n", - "\n", - "def flatfield_correction_with_mask(raw_image, flat_image, mask, dark_image=None):\n", - " \"\"\"\n", - " Apply flat-field correction with mask to exclude certain regions\n", - "\n", - " Args:\n", - " raw_image: Your camera image\n", - " flat_image: Flat-field reference\n", - " mask: Binary mask (0 = ignore, 255 = use)\n", - " dark_image: Dark frame (optional)\n", - " \"\"\"\n", - " # Convert to float\n", - " raw = raw_image.astype(np.float32)\n", - " flat = flat_image.astype(np.float32)\n", - "\n", - " if dark_image is not None:\n", - " dark = dark_image.astype(np.float32)\n", - " raw_corrected = raw - dark\n", - " flat_corrected = flat - dark\n", - " else:\n", - " raw_corrected = raw\n", - " flat_corrected = flat\n", - "\n", - " # Apply mask to flat field - only use unmasked regions for correction\n", - " mask_float = mask.astype(np.float32) / 255.0\n", - "\n", - " # Calculate mean only from unmasked regions\n", - " if len(flat_corrected.shape) == 3:\n", - " # Color image\n", - " mean_flat = []\n", - " for channel in range(flat_corrected.shape[2]):\n", - " masked_flat = flat_corrected[:,:,channel] * mask_float\n", - " valid_pixels = masked_flat[mask > 0]\n", - " mean_flat.append(np.mean(valid_pixels) if len(valid_pixels) > 0 else 1.0)\n", - " mean_flat = np.array(mean_flat).reshape(1, 1, -1)\n", - " else:\n", - " # Grayscale\n", - " masked_flat = flat_corrected * mask_float\n", - " valid_pixels = masked_flat[mask > 0]\n", - " mean_flat = np.mean(valid_pixels) if len(valid_pixels) > 0 else 1.0\n", - "\n", - " # Avoid division by zero\n", - " flat_corrected[flat_corrected <= 0] = 1\n", - "\n", - " # Apply correction\n", - " corrected = (raw_corrected / flat_corrected) * mean_flat\n", - "\n", - " # In masked regions, keep original values\n", - " mask_3d = mask_float\n", - " if len(corrected.shape) == 3:\n", - " mask_3d = np.stack([mask_float] * corrected.shape[2], axis=2)\n", - "\n", - " # Blend: use corrected where mask=1, original where mask=0\n", - " final_result = corrected * mask_3d + raw_corrected * (1 - mask_3d)\n", - "\n", - " return np.clip(final_result, 0, 255).astype(np.uint8)\n", - "\n", - "def create_interactive_ring_mask(image):\n", - " \"\"\"\n", - " Interactively create a ring mask by clicking on the image\n", - " Click center, then inner radius point, then outer radius point\n", - " \"\"\"\n", - " points = []\n", - "\n", - " def mouse_callback(event, x, y, flags, param):\n", - " if event == cv2.EVENT_LBUTTONDOWN:\n", - " points.append((x, y))\n", - " cv2.circle(image, (x, y), 3, (0, 255, 0), -1)\n", - " cv2.imshow('Select Ring', image)\n", - "\n", - " if len(points) == 1:\n", - " print(\"Click on inner radius of ring\")\n", - " elif len(points) == 2:\n", - " print(\"Click on outer radius of ring\")\n", - "\n", - " cv2.imshow('Select Ring', image)\n", - " print(\"Click on center of ring\")\n", - " cv2.setMouseCallback('Select Ring', mouse_callback)\n", - " cv2.waitKey(0)\n", - " cv2.destroyAllWindows()\n", - "\n", - " if len(points) == 3:\n", - " center = points[0]\n", - " inner_radius = np.sqrt((points[1][0] - center[0])**2 + (points[1][1] - center[1])**2)\n", - " outer_radius = np.sqrt((points[2][0] - center[0])**2 + (points[2][1] - center[1])**2)\n", - "\n", - " mask = create_ring_mask(image.shape, center, inner_radius, outer_radius)\n", - " return mask\n", - " else:\n", - " print(\"Need 3 points!\")\n", - " return None\n" - ], - "id": "a1ae8c16d1cb31f7", - "outputs": [], - "execution_count": 154 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-09-08T14:23:06.438502Z", - "start_time": "2025-09-08T14:23:02.773985Z" - } - }, - "cell_type": "code", - "source": [ - "min_contour_area = 4\n", - "mask = create_ring_mask(curr_img, inner_radius=1000,outer_radius=2000)\n", - "diff_image = cv2.absdiff(curr_img, bkg)\n", - "diff_image = cv2.cvtColor(diff_image, cv2.COLOR_RGB2GRAY)\n", - "thresh_value, binary_image = cv2.threshold(diff_image, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)\n", - "thresh_value, thresh_normal = cv2.threshold(diff_image, 50, 255, cv2.THRESH_BINARY)\n", - "ff = flatfield_correction(curr_img, bkg, dark_image=None)\n", - "ff = cv2.cvtColor(ff, cv2.COLOR_RGB2GRAY)\n", - "ff_masked = flatfield_correction_with_mask(curr_img, bkg, mask, dark_image=None)\n", - "ff_masked = cv2.cvtColor(ff_masked, cv2.COLOR_RGB2GRAY)\n", - "thresh_value, thresh_mask = cv2.threshold(ff_masked, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)\n", - "kernel = np.ones((3,3), np.uint8)\n", - "thresh = cv2.morphologyEx(thresh, cv2.MORPH_CLOSE, kernel)\n", - "thresh = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, kernel)\n", - "\n", - "contours, _ = cv2.findContours(thresh_mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n", - "valid_contours = [cnt for cnt in contours if cv2.contourArea(cnt) > min_contour_area]\n", - "\n", - "largest_contour = max(valid_contours, key=cv2.contourArea)\n", - "\n", - "# Step 6: Find leftmost point\n", - "leftmost_point = tuple(largest_contour[largest_contour[:,:,0].argmin()][0])\n", - "print(leftmost_point)\n", - "\n", - "leftmost_point = None\n", - "\n", - "for contour in contours:\n", - " # Loop through each point in the current contour\n", - " for point in contour:\n", - " x, y = point[0] # Point is a nested array [ [x, y] ]\n", - "\n", - " # Check if this is the leftmost point\n", - " if leftmost_point is None or x < leftmost_point[0]:\n", - " leftmost_point = (x, y)\n", - " plot_contour = contour\n", - "print(leftmost_point)\n", - "\n", - "c_img = cv2.drawContours(thresh, contours, -1, (0, 255, 0), 1)\n", - "plt.subplot(2, 2, 1)\n", - "plt.imshow(diff_image)\n", - "plt.subplot(2, 2, 2)\n", - "plt.imshow(thresh_normal)\n", - "#plt.subplot(2, 2, 4)\n", - "#plt.imshow(ff_masked)\n", - "\n", - "\n", - "result_image = cv2.cvtColor(thresh, cv2.COLOR_GRAY2BGR) if len(thresh.shape) == 2 else thresh.copy()\n", - "\n", - "# Draw contour\n", - "result_image = cv2.drawContours(result_image, [largest_contour], -1, (0, 255, 0), 2)\n", - "\n", - "# Mark leftmost point\n", - "result_image = cv2.circle(result_image, leftmost_point, 100, (0, 0, 255), -1)\n", - "result_image = cv2.putText(result_image, f'Leftmost: {leftmost_point}',\n", - " (leftmost_point[0] + 10, leftmost_point[1] - 10),\n", - " cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 0, 255), 2)\n", - "\n", - "print(f'Leftmost point: {leftmost_point}')\n", - "\n", - "plt.subplot(2, 2, 3)\n", - "plt.imshow(binary_image)\n" - ], - "id": "a5363e8d3c71448", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(np.int32(24), np.int32(979))\n", - "(np.int32(24), np.int32(979))\n", - "Leftmost point: (np.int32(24), np.int32(979))\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 354, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "text/plain": [ - "

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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 354 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-09-08T14:02:01.581369Z", - "start_time": "2025-09-08T14:01:56.983788Z" - } - }, - "cell_type": "code", - "source": [ - "# Load image and convert\n", - "img = cv2.imread('/home/leonarski_f/aaredaq/daq/src/aaredaq/991_0_1_50_50_curr_image.tiff', cv2.IMREAD_COLOR)\n", - "#img = cv2.imread('/home/leonarski_f/aaredaq/daq/src/aaredaq/0_280_100_50_curr_image_colour.jpg', cv2.IMREAD_COLOR)\n", - "\n", - "bkg = cv2.imread('/home/leonarski_f/aaredaq/daq/src/aaredaq/bkg1_50_50.jpg')\n", - "# Convert to grayscale & enhance\n", - "gray_bkg = cv2.cvtColor(bkg, cv2.COLOR_BGR2GRAY)\n", - "gray = cv2.subtract(gray, gray_bkg)\n", - "gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n", - "gray = cv2.GaussianBlur(gray, (5, 5), 0)\n", - "gray = cv2.equalizeHist(gray)\n", - "\n", - "# Mask out camera-case ring\n", - "#gray = cv2.subtract(gray, gray_bkg)\n", - "mask = np.zeros_like(gray, dtype=np.uint8)\n", - "h, w = gray.shape\n", - "radius = min(h, w)//2 - 20\n", - "center = (w//2, h//2)\n", - "\n", - "norm=gray\n", - "print(radius)\n", - "\n", - "#norm = flatfield_correction_with_mask(gray, gray_bkg, mask)\n", - "\n", - "#radius = 500#radius#-factor\n", - "print(gray.shape)\n", - "# # gray = cv2.bitwise_and(gray, gray, mask=mask)\n", - "# # x, y = center[0] - radius, center[1] - radius\n", - "# gray_cropped = gray[y:y+2*radius, x:x+2*radius]\n", - "# #gray_bkg_cropped = gray[y:y+2*radius, x:x+2*radius]\n", - "# #cv2.circle(mask, center, radius, 93, -1)\n", - "# print(gray_cropped.shape)\n", - "#\n", - "# #masked = cv2.bitwise_and(gray, gray, mask=mask)\n", - "# #norm = gray_cropped\n", - "# masked=gray_cropped\n", - "# background= cv2.medianBlur(masked, 51)\n", - "#\n", - "# norm = cv2.subtract(masked, background)\n", - "#norm = cv2.absdiff(masked,gray_bkg)\n", - "kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (25,25))\n", - "tophat = cv2.morphologyEx(norm, cv2.MORPH_TOPHAT, kernel)\n", - "\n", - "enhanced = cv2.addWeighted(norm, 0.7, tophat, 0.3, 0)\n", - "# Adaptive thresholding\n", - "thresh = cv2.adaptiveThreshold(enhanced, 255, cv2.ADAPTIVE_THRESH_MEAN_C,\n", - " cv2.THRESH_BINARY_INV, 41, 2)\n", - "\n", - "# Find contours\n", - "contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n", - "\n", - "best_point = None\n", - "min_x = w + 1\n", - "\n", - "print(len(contours))\n", - "for cnt in contours:\n", - " x,y,wc,hc = cv2.boundingRect(cnt)\n", - "\n", - " # Skip very large contours (likely mask boundary)\n", - " if cv2.contourArea(cnt) > 0.2 * h * w:\n", - " print(\"Skipping contour with area\", cv2.contourArea(cnt))\n", - " continue\n", - "\n", - " # Compute distance of contour centroid from image center\n", - " M = cv2.moments(cnt)\n", - " if M[\"m00\"] != 0:\n", - " cx = int(M[\"m10\"]/M[\"m00\"])\n", - " cy = int(M[\"m01\"]/M[\"m00\"])\n", - " dist = np.sqrt((cx-center[0])**2 + (cy-center[1])**2)\n", - " # If centroid is near mask radius, skip (mask edge)\n", - " #if abs(dist - radius) < 60:\n", - " # print(\"Skipping contour near mask radius\")\n", - " # continue\n", - "\n", - " # Skip vertical pin\n", - " if hc > 3*wc:\n", - " print(\"Skipping vertical pin\")\n", - " continue\n", - "\n", - " leftmost = tuple(cnt[cnt[:, :, 0].argmin()][0])\n", - " if leftmost[0] < min_x:\n", - " min_x = leftmost[0]\n", - " best_point = leftmost\n", - "\n", - "# Draw result\n", - "if best_point is not None:\n", - " print(f\"best_point = {best_point}\")\n", - " #cv2.circle(thresh, best_point, 100, (0, 0, 255), -1)\n", - " print(radius)\n", - " corrected_point = (best_point[0]+factor, best_point[1] +factor)\n", - " print(f\"corrected_point {corrected_point}\")\n", - " cv2.circle(img, corrected_point, 100, (0, 0, 255), -1)\n", - " print(\"Loop tip (leftmost point):\", best_point)\n", - "else:\n", - " print(\"No suitable contour found\")\n", - "\n", - "plt.figure(figsize=(10,8))\n", - "plt.figure(figsize=(14,10))\n", - "plt.subplot(2,4,1); plt.title(\"Original\"); plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))#; plt.axis(\"off\")\n", - "plt.subplot(2,4,2); plt.title(\"Cropped\"); plt.imshow(gray_cropped, cmap=\"gray\"); plt.axis(\"off\")\n", - "plt.subplot(2,4,3); plt.title(\"Background\"); plt.imshow(norm, cmap=\"gray\"); plt.axis(\"off\")\n", - "plt.subplot(2,4,4); plt.title(\"Top-hat\"); plt.imshow(tophat, cmap=\"gray\"); plt.axis(\"off\")\n", - "plt.subplot(2,4,5); plt.title(\"Enhanced\"); plt.imshow(enhanced, cmap=\"gray\"); plt.axis(\"off\")\n", - "plt.subplot(2,4,6); plt.title(\"Threshold\"); plt.imshow(thresh, cmap=\"gray\")#; plt.axis(\"off\")\n", - "plt.subplot(2,4,7); plt.title(\"image with contours\"); #plt.imshow(img)#; plt.axis(\"off\")\n", - "contour_vis = cv2.cvtColor(masked, cv2.COLOR_GRAY2BGR)\n", - "cv2.drawContours(contour_vis, contours, -1, (0,255,0), 1)\n", - "cv2.circle(contour_vis, best_point, 100, (0, 0, 255), -1)\n", - "plt.imshow(contour_vis)\n", - "plt.show()\n", - "\n", - "cv2.imwrite('masked.tiff', enhanced)\n", - "cv2.imwrite('thresh.tiff', thresh)" - ], - "id": "d98c070865b11f36", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1003\n", - "(2046, 2046)\n", - "10291\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping contour with area 2054203.5\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "Skipping vertical pin\n", - "best_point = (np.int32(0), np.int32(1421))\n", - "1003\n", - "corrected_point (np.int32(250), np.int32(1671))\n", - "Loop tip (leftmost point): (np.int32(0), np.int32(1421))\n" - ] - }, - { - "data": { - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "
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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 350, - "metadata": {}, - "output_type": "execute_result" - } - ], - "execution_count": 350 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-09-08T11:21:42.726663Z", - "start_time": "2025-09-08T11:21:41.711795Z" - } - }, - "cell_type": "code", - "source": [ - "x#bkg_old = cv2.imread(\"/home/leonarski_f/aaredaq/daq/src/aaredaq/alc_test_images/bkg280_020925.jpg\")\n", - "#bkg_new = cv2.imread(\"/home/leonarski_f/aaredaq/daq/src/aaredaq/alc_test_images/bkg280_03092025.jpg\")\n", - "bkg_old = cv2.imread(\"/home/leonarski_f/aaredaq/daq/src/aaredaq/bkg280_50_50_old.jpg\")\n", - "bkg_new = cv2.imread(\"/home/leonarski_f/aaredaq/daq/src/aaredaq/bkg280_50_50.jpg\")\n", - "#$bkg_newest = cv2.imread(\"/home/leonarski_f/aaredaq/daq/src/aaredaq/bkg280.jpg\")\n", - "grey_old = cv2.cvtColor(bkg_old, cv2.COLOR_RGB2GRAY)\n", - "grey_new = cv2.cvtColor(bkg_new, cv2.COLOR_RGB2GRAY)\n", - "#grey_newest = cv2.cvtColor(bkg_newest, cv2.COLOR_RGB2GRAY)\n", - "diff_image = cv2.absdiff(grey_old, grey_new)\n", - "_, thresh_diff = cv2.threshold(diff_image, threshold, 255, cv2.THRESH_BINARY)\n", - "\n", - "\n", - "# Simple subtraction (may result in negative values)\n", - "diff_simple = cv2.subtract(bkg_new, bkg_old)\n", - "\n", - "# Weighted difference for motion detection\n", - "diff_weighted = cv2.addWeighted(bkg_new, 0.5, bkg_old, -0.5, 128)\n", - "\n", - "# Using numpy for difference\n", - "diff_numpy = np.abs(bkg_new.astype(np.int16) - bkg_old.astype(np.int16)).astype(np.uint8)\n", - "\n", - "plt.subplot(1,2,1)\n", - "plt.imshow(bkg_old)\n", - "plt.subplot(1,2,2)\n", - "plt.imshow(bkg_new)" - ], - "id": "5c26fa11f85e6483", - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 275, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "text/plain": [ - "
    " - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 275 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-09-08T08:13:17.148953Z", - "start_time": "2025-09-08T08:13:17.046977Z" - } - }, - "cell_type": "code", - "source": [ - "bkg_old_np = bkg_old.astype(np.float32)\n", - "bkg_old_np_normalized = bkg_old.astype(np.float32) / 255.0\n", - "bkg_new_np = bkg_old.astype(np.float32)\n", - "bkg_new_np_normalized = bkg_old.astype(np.float32) / 255.0\n", - "diff_np=bkg_old_np-bkg_new_np\n", - "diff_np_normalized=bkg_old_np_normalized-bkg_new_np_normalized" - ], - "id": "95a0ac65d0013e8", - "outputs": [], - "execution_count": 196 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-09-08T08:14:30.738697Z", - "start_time": "2025-09-08T08:14:30.671257Z" - } - }, - "cell_type": "code", - "source": [ - "print(\"mean: \", np.mean(grey_old.astype(np.float32)-grey_new.astype(np.float32)))\n", - "print(\"std: \", np.std(grey_old.astype(np.float32)-grey_new.astype(np.float32)))\n", - "diff_abs = np.abs(grey_old.astype(np.float32)-grey_new.astype(np.float32))\n", - "print(np.percentile(diff_abs, 99))" - ], - "id": "83aae96e9df6c807", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "mean: -6.184164\n", - "std: 5.93317\n", - "21.0\n" - ] - } - ], - "execution_count": 200 - }, - { - "metadata": {}, - "cell_type": "code", - "outputs": [], - "execution_count": null, - "source": [ - "threshold_old = cv2.imread(\"/home/leonarski_f/aaredaq/daq/src/aaredaq/alc_test_images/bkg280_020925.jpg\")\n", - "threshold_new = cv2.imread(\"/home/leonarski_f/aaredaq/daq/src/aaredaq/alc_test_images/bkg280_03092025.jpg\")" - ], - "id": "258a3d679516f15c" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-09-05T13:33:03.863166Z", - "start_time": "2025-09-05T13:33:03.839938Z" - } - }, - "cell_type": "code", - "source": [ - "import numpy as np\n", - "from scipy import ndimage\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Example showing the difference\n", - "image = np.random.rand(50, 50) * 100\n", - "# Add a bright spot\n", - "image[20:30, 35:45] = 200\n", - "\n", - "# Without thresholding - all pixels contribute\n", - "com_no_threshold = ndimage.center_of_mass(image)\n", - "print(f\"No threshold COM: ({com_no_threshold[1]:.2f}, {com_no_threshold[0]:.2f})\")\n", - "\n", - "# With thresholding - only bright pixels contribute\n", - "threshold = 150\n", - "thresholded = image.copy()\n", - "thresholded[thresholded < threshold] = 0\n", - "com_with_threshold = ndimage.center_of_mass(thresholded)\n", - "print(f\"With threshold COM: ({com_with_threshold[1]:.2f}, {com_with_threshold[0]:.2f})\")\n" - ], - "id": "d70801a606268e76", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "No threshold COM: (26.11, 24.33)\n", - "With threshold COM: (39.50, 24.50)\n" - ] - } - ], - "execution_count": 189 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-09-05T13:33:18.254639Z", - "start_time": "2025-09-05T13:33:18.248074Z" - } - }, - "cell_type": "code", - "source": [ - "def center_of_mass_with_threshold(image, threshold):\n", - " \"\"\"\n", - " Apply threshold before center of mass calculation\n", - " \"\"\"\n", - " # Create binary mask\n", - " binary = (image >= threshold).astype(float)\n", - "\n", - " # Calculate center of mass on thresholded image\n", - " com = ndimage.center_of_mass(binary)\n", - "\n", - " # Return as (x, y) coordinates\n", - " return (com[1], com[0]) if com[0] is not np.nan else None\n" - ], - "id": "1ba37750a7b66b23", - "outputs": [], - "execution_count": 190 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-09-05T13:33:27.236834Z", - "start_time": "2025-09-05T13:33:27.231958Z" - } - }, - "cell_type": "code", - "source": [ - "def weighted_center_of_mass_threshold(image, threshold):\n", - " \"\"\"\n", - " Keep original intensities above threshold, zero below\n", - " \"\"\"\n", - " weighted_image = image.copy()\n", - " weighted_image[weighted_image < threshold] = 0\n", - "\n", - " com = ndimage.center_of_mass(weighted_image)\n", - " return (com[1], com[0]) if com[0] is not np.nan else None\n" - ], - "id": "59452341d64bc800", - "outputs": [], - "execution_count": 191 - }, - { - "metadata": {}, - "cell_type": "code", - "outputs": [], - "execution_count": null, - "source": "", - "id": "8cf8041e736e5a43" - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 2 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.6" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/scripts/knife_edge_scan.ipynb b/scripts/knife_edge_scan.ipynb deleted file mode 100644 index f5a35345..00000000 --- a/scripts/knife_edge_scan.ipynb +++ /dev/null @@ -1,509 +0,0 @@ -{ - "cells": [ - { - "metadata": {}, - "cell_type": "markdown", - "source": "**Import Packages**", - "id": "1e84a74bce983a48" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-07-09T15:21:27.478441Z", - "start_time": "2025-07-09T15:21:26.516951Z" - } - }, - "cell_type": "code", - "source": [ - "from aaredaq.devices import BeamlineDevices\n", - "from aaredaqlib import MXBeamline" - ], - "id": "d2efa08de2dbd46b", - "outputs": [], - "execution_count": 1 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-07-09T15:21:29.814198Z", - "start_time": "2025-07-09T15:21:28.052349Z" - } - }, - "cell_type": "code", - "source": [ - "from epics import PV\n", - "import numpy as np\n", - "import time\n", - "import matplotlib.pyplot as plt\n", - "from scipy.optimize import curve_fit\n", - "from scipy.signal import peak_widths, find_peaks" - ], - "id": "f8305237c9f98964", - "outputs": [], - "execution_count": 2 - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": "**Config**", - "id": "de33ac6389ffef80" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-07-09T15:21:33.454435Z", - "start_time": "2025-07-09T15:21:31.742983Z" - } - }, - "cell_type": "code", - "source": [ - "d = BeamlineDevices(MXBeamline.X06DA)\n", - "b = MXBeamline.X06DA\n", - "beamline = b.value.upper()" - ], - "id": "5407e46ef4c2a26d", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Connecting TELL p-shell service at http://x06da-tell.psi.ch:22222 ..." - ] - } - ], - "execution_count": 3 - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": "**Functions for fitting**", - "id": "ad205cd8366be8b5" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-07-09T15:21:35.539527Z", - "start_time": "2025-07-09T15:21:35.532072Z" - } - }, - "cell_type": "code", - "source": [ - "def gaus(x, *p):\n", - " A, mu, sigma = p\n", - " return A * np.exp(-(x-mu)**2/(2.*sigma**2))\n", - "\n", - "def sigmoid(x, *p):\n", - " L, x0, k, c = p\n", - " return L / (1 + np.exp(-k * (x -x0))) + c\n", - "\n", - "def unpack_data(data):\n", - " x_vals, y_vals = zip(*data)\n", - " x_vals = list(x_vals)\n", - " y_vals = list(y_vals)\n", - " return x_vals, y_vals\n", - "\n", - "def sigmoid_fit(x_vals, y_vals):\n", - " L_guess = np.max(y_vals)\n", - " b_guess = np.min(y_vals)\n", - " x0_guess = x_vals[np.argmin(np.abs(y_vals - (L_guess + b_guess) / 2))]\n", - " k_guess = 1 / (x_vals[-1] - x_vals[0])\n", - "\n", - " s0 = [L_guess, x0_guess, k_guess, b_guess]\n", - " parameters, params_covariance = curve_fit(sigmoid, x_vals, y_vals, p0=s0)\n", - " return parameters\n", - "\n", - "def gauss_fit(x_vals, dydx):\n", - " mean = x_vals[np.argmax(dydx)]\n", - " sigma = (np.max(x_vals) - np.min(x_vals))/4\n", - " A= np.max(dydx)\n", - " dydx[np.isnan(dydx)] = 0\n", - "\n", - " p0 = [A, mean, sigma]\n", - " parameters, covariance = curve_fit( gaus, x_vals, dydx, p0=p0)\n", - " return parameters\n", - "\n", - "def calc_fwhm(gauss_y, x_vals):\n", - " peaks = find_peaks( gauss_y )\n", - " fwhm_peak = peak_widths( gauss_y, peaks[0], rel_height=0.5 )\n", - "\n", - " fwhm_str = x_vals[int( round( fwhm_peak[2][0], 0 ))]\n", - " fwhm_end = x_vals[int( round( fwhm_peak[3][0], 0 ))]\n", - "\n", - " fwhm = fwhm_str - fwhm_end\n", - " fwhm_height = gauss_y[int( round( fwhm_peak[2][0], 0 ))]\n", - "\n", - " # find 1/e2 peak width\n", - " full_peak = peak_widths( gauss_y, peaks[0], rel_height=0.865 )\n", - " full_str = x_vals[int( round( full_peak[2][0], 0 ))]\n", - " full_end = x_vals[int( round( full_peak[3][0], 0 ))]\n", - "\n", - " full = full_str - full_end\n", - " full_height = gauss_y[int( round( full_peak[2][0], 0 ))]\n", - " return fwhm, full" - ], - "id": "d92115ec3d76d57d", - "outputs": [], - "execution_count": 4 - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": "**Function for performing knife_edge then fitting and plotting**", - "id": "323bcc0c8ba19afa" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-07-09T16:34:57.207683Z", - "start_time": "2025-07-09T16:34:57.203084Z" - } - }, - "cell_type": "code", - "source": [ - "def knife_edge(motor: str, dev: BeamlineDevices, beamline: str, steps: int = 40, start: float = 0.0, step_size: float = 0.002, offset: float = 0.0, sleep = 0.5):\n", - " diode = PV(f\"{beamline}-ES-BS:READOUT\")#X06DA-ES-BS:READOUT\n", - " dev.shutter = True\n", - " time.sleep(2.0)\n", - "\n", - " data = []\n", - "\n", - " for i in range(steps): #40\n", - " if motor == 'X':\n", - " dev.gmx.move(start-offset+step_size*i, wait=True)\n", - " time.sleep(sleep)\n", - " print(f\"{dev.gmx.value:.3f} {diode.get()}\")\n", - " data.append([dev.gmx.value, diode.get()])\n", - " else:\n", - " dev.gmy.move(start-offset+step_size*i, wait=True)\n", - " time.sleep(sleep)\n", - " print(f\"{dev.gmy.value:.3f} {diode.get()}\")\n", - " data.append([dev.gmy.value, diode.get()])\n", - "\n", - " if motor == 'X':\n", - " dev.gmx.move(start, wait=True)\n", - " #else:\n", - " # dev.gmy.move(start, wait=True)\n", - "\n", - " dev.shutter = False\n", - " return data\n" - ], - "id": "512dc280e62e4ed4", - "outputs": [], - "execution_count": 41 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-07-09T16:35:13.891315Z", - "start_time": "2025-07-09T16:35:13.885335Z" - } - }, - "cell_type": "code", - "source": [ - "def fit_knife_edge(data, motor: str):\n", - "\n", - " x_vals, y_vals = unpack_data(data)\n", - "\n", - " plt.plot(x_vals, y_vals, label = 'edge_scan')\n", - " plt.ylabel('Intensity (counts)')\n", - " plt.xlabel('Motor position (mm)')\n", - "\n", - " params=sigmoid_fit(x_vals, y_vals)\n", - "\n", - " plt.plot(x_vals, y_vals)\n", - " plt.plot(x_vals, sigmoid(x_vals, *params))\n", - " plt.show()\n", - "\n", - " y_fit = sigmoid(x_vals, *params)\n", - "\n", - " dydx = np.gradient(y_fit, x_vals)\n", - "\n", - " if motor == 'X':\n", - " dydx=-dydx\n", - "\n", - " parameters = gauss_fit(x_vals, dydx)\n", - "\n", - " x0_op = parameters[1]\n", - " sigma_op = parameters[2]\n", - " print(parameters)\n", - "\n", - " gauss_y = gaus(x_vals,*parameters)\n", - " fwhm = np.abs(2*np.sqrt(2*np.log(2))*sigma_op)\n", - " print(f\"Manually calculated FWHM to {fwhm} mm\")\n", - " plt.plot(x_vals, dydx, label = 'derivative')\n", - " plt.plot(x_vals, gauss_y,label='Gaussian fit',color ='orange')\n", - " plt.fill_between(x_vals,gauss_y,color='orange',alpha=0.5)\n", - "\n", - " try:\n", - " fwhm, full = calc_fwhm(gauss_y, x_vals)\n", - " print( \"Scipy calculated FWHM = {0} mm\".format( fwhm ) )\n", - " print( \"Scipy calculated 1/e2 = {0} mm\".format( full ) )\n", - " except:\n", - " print('scipy peak finding failed')\n", - "\n", - " plt.axvspan(x0_op+fwhm/2,x0_op-fwhm/2, color='green', alpha=0.75, lw=0, label='FWHM = {0} mm'.format(fwhm))\n", - " plt.legend()\n", - " plt.show()\n", - " #plt.savefig(output_name+filename.split('/')[-1]+'FWHM_{0}.png'.format(fwhm))\n" - ], - "id": "80460b35a33f1ecf", - "outputs": [], - "execution_count": 42 - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": "**Knife Edge scan in X**", - "id": "b063ff6432f42184" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-07-09T17:51:02.087583Z", - "start_time": "2025-07-09T17:49:59.206783Z" - } - }, - "cell_type": "code", - "source": [ - "steps_x = 50\n", - "start_pos_x = -17.94\n", - "step_size_x = 0.002\n", - "offset_x = 0.0 # offset subtracted from start position\n", - "sleep = 1 # wait after move before recording diode\n", - "x_data=knife_edge(motor='X', dev=d, beamline=beamline, steps=steps_x, start=start_pos_x, step_size=step_size_x, offset=offset_x, sleep = sleep)\n", - "fit_knife_edge(x_data, motor='X')" - ], - "id": "5454eb901526eb3", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-17.940 8.959981e-06\n", - "-17.938 8.944953e-06\n", - "-17.936 8.937235e-06\n", - "-17.934 8.946256e-06\n", - "-17.932 8.870569e-06\n", - "-17.930 8.943733e-06\n", - "-17.928 8.932527e-06\n", - "-17.926 8.931002e-06\n", - "-17.924 8.912179e-06\n", - "-17.922 8.929313e-06\n", - "-17.920 8.917321e-06\n", - "-17.918 8.937232e-06\n", - "-17.916 8.892818e-06\n", - "-17.914 8.824038e-06\n", - "-17.912 8.808735e-06\n", - "-17.910 8.837087e-06\n", - "-17.908 8.671096e-06\n", - "-17.906 8.606978e-06\n", - "-17.904 8.432655e-06\n", - "-17.902 8.189082e-06\n", - "-17.900 8.250342e-06\n", - "-17.898 7.650508e-06\n", - "-17.896 7.203671e-06\n", - "-17.894 6.735723e-06\n", - "-17.892 6.1932e-06\n", - "-17.890 6.269931e-06\n", - "-17.888 5.137038e-06\n", - "-17.886 4.552743e-06\n", - "-17.884 3.875157e-06\n", - "-17.882 3.34356e-06\n", - "-17.880 3.422219e-06\n", - "-17.878 2.437191e-06\n", - "-17.876 2.017403e-06\n", - "-17.874 1.662639e-06\n", - "-17.872 1.323577e-06\n", - "-17.870 1.346216e-06\n", - "-17.868 9.006973e-07\n", - "-17.866 7.306933e-07\n", - "-17.864 5.915996e-07\n", - "-17.862 4.870485e-07\n", - "-17.860 4.98184e-07\n", - "-17.858 3.496483e-07\n", - "-17.856 2.945638e-07\n", - "-17.854 2.461977e-07\n", - "-17.852 2.114641e-07\n", - "-17.850 2.139551e-07\n", - "-17.848 1.598115e-07\n", - "-17.846 1.397988e-07\n", - "-17.844 1.199971e-07\n", - "-17.842 1.045175e-07\n" - ] - }, - { - "data": { - "text/plain": [ - "
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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[ 2.92142522e-04 -1.78855968e+01 1.17269351e-02]\n", - "Manually calculated FWHM to 0.02761482178449844 mm\n", - "Scipy calculated FWHM = -0.02800645446777139 mm\n", - "Scipy calculated 1/e2 = -0.04800543212890318 mm\n" - ] - }, - { - "data": { - "text/plain": [ - "
    " - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 63 - }, - { - "metadata": {}, - "cell_type": "code", - "source": "fit_knife_edge(x_data, motor='X')", - "id": "41b7430b4ce4727", - "outputs": [], - "execution_count": null - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": "**Knife edge scan in Y**", - "id": "f6c950fbb9299d42" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-07-09T18:01:19.109015Z", - "start_time": "2025-07-09T18:00:32.468027Z" - } - }, - "cell_type": "code", - "source": [ - "steps_y = 40\n", - "start_pos_y = -0.20\n", - "step_size_y = 0.002\n", - "offset_y = 0.00\n", - "sleep = 1.0 # wait after move before recording diode\n", - "y_data=knife_edge(motor='Y', dev=d, beamline=beamline, steps=steps_y, start=start_pos_y, step_size=step_size_y, offset=offset_y, sleep=sleep)\n", - "fit_knife_edge(y_data, motor='Y')" - ], - "id": "f8e0541c9e92e4e6", - "outputs": [ - { - "name": "stdout", - "output_type": 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Vf29d30WangoaEZEzUN2ZTJMYXrwQgJVx1zP05lcafYXcGlsNz6x6hrm75wJwfdL1PDDogVM6g0nEGVTQiIicYQpys8iecQWDarbVXfG3zxMMv+LeRi9fWl3KX376Cz9n/ozFsPDw4Ie5tse1rgss0ggqaEREziC1NdXkvTmeHta9FBPIgTFvMuTsxp/JlF2WzZRFU9hVsIsA7wBeOOcFRsWPcl1gkUZSQSMicgZZ9/nLDLXupYggCv/4Db16NP6KvSn5Kfx50Z/JKc8h0j+S189/nZ5RPV2YVqTxdLBTROQMUXg4m+476ibw7uxxDx0cKGZ+zviZ67+/npzyHDqGdeTD8R+qmJFmRQWNiMgZImXOo4RRRqolgYF/uK/Ry3226zOmLJpCeW05Q2KH8P7F79M2uK0Lk4o4ToecRETOAPu2rmZQ7hdgQPn5zzb6po5vbnqT1ze+DsClHS/lyRFP4uPl48qoIqdEBY2ISAtn2mxUfP0XvAyT9cHnMGDk+EYtNz91vr2Yub3v7fy5758xDMOVUUVOmQ45iYi0cBsWzKJn9WYqTR/aTPhXo5bZVbCLJ355AoDJvSYzpd8UFTPSrKmgERFpwSrLS2mz+hkANrS/gTYdup10maKqIu5dci8VtRUMazOMu/vf7eqYIqdNBY2ISAu2Yc5TtCGXbKLod/U/TtrfZtp4dPmjpJekExcUx4vnvIi3RbMTpPlTQSMi0kJlH9hNv/3vApAx5DECgkJOusy/N/6b5RnL8fPy45XRrxDuH+7ilCLOoYJGRKSFyvj0QQKMarb59mbAuMkn7b/4wGLe2vwWAH8f/nd6RPZwdUQRp3FrQWO1Wnn88cdJTEwkICCATp068fTTT2OapjtjiYh4vO0rv2dgyRKspoH/pf/CsJz4x31qUSqPrXgMgGu7X8ulnS5tipgiTuPWA6PPP/88b7zxBrNmzaJnz56sXbuWyZMnExYWxt13axKaiMipsNbW4rfwUQDWRl3G0N7DTti/rKaMe5fcS1lNGQNiBvCXwX9pipgiTuXWguaXX37hsssuY/z4umsiJCQk8NFHH7FmzRp3xhIR8WhrP3+ZodZUigmi69XPnbCvaZr8bcXf2Fe0j5iAGKaNmoaPRRfOE8/j1kNOI0aMYNGiRezatQuATZs2sWLFCi666KJj9q+qqqK4uLjBQ0REflWUn0vX7XX3a9re7U4iotucsP87W99h4YGFeFu8eWn0S0QFRDVFTBGnc+semkceeYTi4mK6d++Ol5cXVquVZ555hokTJx6z/9SpU3nyySebOKWIiOfY+dEjDKWENEt7Bl154kNHv2T8wvQN0wF4bOhj9I3u2xQRRVzCrXtoPvnkEz788ENmz57N+vXrmTVrFv/617+YNWvWMfs/+uijFBUV2R/p6elNnFhEpPlK3Z7MwJzPASgd/c8T3q/pYMlBHlz2IDbTxhVdrmBC1wlNFVPEJdy6h+bBBx/kkUce4eqrrwagd+/e7N+/n6lTp3LDDTcc1d/Pzw8/P7+mjiki0uyZNhtlX/0Fb8PGhqCz6H/2ZcftW1Fbwb1L7qW4upjeUb15bOhjTZhUxDXcuoemvLwcy29OJfTy8sJms7kpkYiIZ9rw44f0qtpIlelD6yunnbDvM6ueIaUghVb+rXhp1Ev4ejXuztsizZlb99BceumlPPPMM7Rv356ePXuyYcMGXnrpJW666SZ3xhIR8SimzUb0qmcBWN/uOoYndj9u37XZa/lq71dYDAv/OvdfxAbFNlVMEZdya0Ezffp0Hn/8cf785z+Tk5NDXFwct912G0888YQ7Y4mIeJSU5IV0NzMpM/3pc4L7NVltVp5Pfh6AK7tcyeDYwU2UUMT13FrQhISE8Morr/DKK6+4M4aIiEcrWvMhANvDRzE4JPy4/b7Y8wU783cS4hvClP5TmiidSNPQvZxERDxYdVUl3fIWAuA/8Nrj9iuuLrafov3nvn+mlX+rJskn0lRU0IiIeLDtyz4nnFJyiSBpxPjj9ntr01vkV+aTGJbIH7v/sQkTijQNFTQiIh7MtmkOAHtbj8PL+9izCFKLUpm9YzYADw1+SLc2kBZJBY2IiIcqLsyjZ8kvAESNmHTcfv9a+y9qzVrOaXcOZ7U9q6niiTQpFTQiIh5q55IP8TNqSLPE06n38GP2WX5wOcsOLsPb8ObBQQ82cUKRpqOCRkTEQwXunAtAdvvfYViO/nFeY6vhheQXAJjYYyIJYQlNGU+kSamgERHxQIcO7iWpchMA7UcdfasYgDk755BWnEYr/1bc1ve2pown0uRU0IiIeKDUJbOwGCbbfXoRl9DtqPfzK/N5Y+MbANzd/25CfEOaOqJIk1JBIyLigaLTvgagpOvvj/n+axteo6SmhB6tenB558ubMJmIe6igERHxMKnbVtPJmkq16UX3844+u2ln/k4+2/UZAA8PeRgvi1dTRxRpcipoREQ8TPaKDwDYFjSMsMjWDd4zTZPn1zyPicnYhLEMbD3QHRFFmpwKGhERD2KzWknM+g4As89VR72/8MBC1h5ai5+XH/cPvL+p44m4jQoaEREPsmP1AmI5TDGBJJ07ocF7lbWVTFs7DYDJvSYTFxznjogibqGCRkTEg5Ql191Ze2fEaPwDghq8997298gozaB1YGsm95zsjngibqOCRkTEQ1RWlNG9YDEAQYMmNnjvUNkh/rPlPwDcP/B+An0CmzyfiDupoBER8RA7ln1GKOUcIpIew8Y1eO/V9a9SUVtB/5j+XJR4kZsSiriPChoREU+x+RMA9rW5CIvXr6dip5ekM2/fPAAeHvwwhmG4JZ6IO6mgERHxAEX5ufQsXQVA7FnXN3hv9o7ZmJiMjBtJz6ie7ogn4nYqaEREPEDK4vfxNWrZZ0kgsedQe3tJdQmf7/4cgOuTrj/e4iItngoaEREPELyrrmjJSfhdg/bPd39OeW05ncM7MzxuuDuiiTQLKmhERJq5rP0pJFVvwWYaJIz+9c7atbZaPtxRdxr3dT2u09wZOaOpoBERaebSls4CYIdfH2LjO9vbFx5YSFZZFq38WzG+43h3xRNpFlTQiIg0Y6bNRpv9dXfWLu9+RYP33t/+PgBXdbsKf2//Js8m0pyooBERacb2bV1Fgi2dKtOHbuddZ2/fmLORzbmb8bH48Mduf3RjQpHmQQWNiEgzlvvzewBsCxlOaHikvb1+78z4juOJCohySzaR5kQFjYhIM2WtraXjoQUAGH1+3QuTUZrBwgMLAZiUNMkt2USaGxU0IiLN1I6V3xJDPoUE0/PcK+3ts3fMxmbaGNpmKF0juroxoUjzoYJGRKSZqlj3EQApkefj61c36bespkwX0hM5BhU0IiLNkM1qpVvhMgBCBl9rb/9i9xeU1pSSEJrAWW3Pclc8kWZHBY2ISDOUtX8noZRRZfrQdeB5AFhtVj7Y8QFQN3fGYuhHuEg9fTeIiDRDh1LWAHDAJwFvH18AlqQvIaM0gzC/MC7tdKk744k0OypoRESaoaqDmwAoCOlmb7NfSK/rVQR4B7gll0hzpYJGRKQZCszfDoAZ2weArYe3sj5nPd4Wb67ufrU7o4k0SypoRESaoTYVuwEISxwAwHvb6y6wd1HCRcQExrgtl0hzpYJGRKSZyTt0kBjysZkG8T0Gk12WzY9pPwK6kJ7I8aigERFpZjJTkgHIsLQhKCSc2TtnU2vWMqj1IHpE9nBzOpHmSQWNiEgzU5a2HoCcoK6U15Tz2a7PAF1IT+REVNCIiDQz3rnbAKiO7smXe76kpLqE9iHtOTf+XDcnE2m+VNCIiDQz0WW7AAiI78+HOz4EYGKPibqQnsgJ6LtDRKQZqSgroZ31IAD7o0wOlBwgxDeEyztf7t5gIs2cChoRkWbkwI5kvAyTw4TzVdZ8AK7seiWBPoFuTibSvKmgERFpRgpT6yYEbwhKJDk7GYth4dru155kKRFRQSMi0pxkbwZgaasQAIbGDiU2KNadiUQ8ggoaEZFmJLxoJyawxq8QgEs6XeLWPCKeQgWNiEgzYa2tpX1NKtt8fcm2FuLv5c/57c93dywRj6CCRkSkmTi4ZzMBRjVfBIcCMLr9aIJ8gtycSsQzqKAREWkmcvespQaYH1x3RtMlHXW4SaSxVNCIiDQTNRmbWBXgT7EXtPJvxfC44e6OJOIxVNCIiDQTwfnbmRdcd4hpXMI4fCw+bk4k4jlU0IiINAOmzUZE9R4WBwYAOtwk4igVNCIizcDh7ANsCKql0mKhfXA8vaJ6uTuSiEdRQSMi0gxk7lzFvKC6w02XdL4UwzDcnEjEs6igERFpBjIPrGJVgD8AlyTqcJOIo1TQiIg0AxvK1mMzDDrRivjQeHfHEfE4KmhERJqBZJ88AM6JHOnmJCKeSQWNiIibbU5fzx4/C96myR8G3ODuOCIeSQWNiIibfbbpPQAGlVtJiOvm5jQinkkFjYiIG9lMG8vyVgEwqCbazWlEPJcKGhERN9qQs4E8ygiy2egR1N/dcUQ8lgoaERE3mrdvHgAXlJUTHD/IzWlEPJcKGhERN6m2VrMgdQEAl5SWEdt1sJsTiXgub3cHEBE5Uy0/uJySmhJiamvpWulFeIeu7o4k4rG0h0ZExE3qDzeNLy0n07cThkU/kkVOlcN7aFJTU1m+fDn79++nvLyc6Oho+vfvz/Dhw/H393c4QEZGBg8//DDff/895eXldO7cmXfffZdBg3QsWURarqKqIn46+BMA40vLKIjo4eZEIp6t0QXNhx9+yKuvvsratWtp3bo1cXFxBAQEkJ+fz969e/H392fixIk8/PDDdOjQoVHrLCgoYOTIkYwePZrvv/+e6Ohodu/eTURExCkPSETEE/y4/0dqbDW0r7HQraaGNW36uDuSiEdrVEHTv39/fH19ufHGG5k7dy7x8Q3vM1JVVcXKlSuZM2cOgwYN4t///jcTJkw46Xqff/554uPjeffdd+1tiYmJDg5BRMTz1B9uuqSkBIDIzpoQLHI6DNM0zZN1WrBgAWPHjm3UCvPy8khLS2PgwIEn7ZuUlMTYsWM5ePAgP/30E23btuXPf/4zt956a6O2VVxcTFhYGEVFRYSGhjZqGRERd8sszWTs3LEYGPxw4CCtaoHHMvH1c/ywvYgncsXv70bNQGtsMQMQGRnZqGIGYN++fbzxxht06dKFBQsWcMcdd3D33Xcza9asY/avqqqiuLi4wUNExNN8l/odAN1944m1Wkn37qBiRuQ0OTylfv369WzZssX++quvvuLyyy/nscceo7q62qF12Ww2BgwYwLPPPkv//v3505/+xK233sqbb755zP5Tp04lLCzM/vjtoS8RkebONE3m7a073DS4IgSAvJDu7owk0iI4XNDcdttt7Nq1C6jbw3L11VcTGBjIp59+ykMPPeTQutq0aUNSUlKDth49enDgwIFj9n/00UcpKiqyP9LT0x2NLyLiVikFKewt2ouvxZfheQUA2Fr3cnMqEc/ncEGza9cu+vXrB8Cnn37KOeecw+zZs5k5cyZz5851aF0jR44kJSXlqPUf7ywpPz8/QkNDGzxERDxJ/d6Zc+PPpXPZXgBCEwa4M5JIi+BwQWOaJjabDYCFCxdy8cUXAxAfH8/hw4cdWtd9993HqlWrePbZZ9mzZw+zZ89mxowZTJkyxdFYIiLNntVmtc+fOS/6LGLJBaBdjyHujCXSIjhc0AwaNIh//vOfvP/++/z000+MHz8eqLvgXuvWrR1a1+DBg/niiy/46KOP6NWrF08//TSvvPIKEydOdDSWiEiztyZ7DbkVuYT5hdEuv64tw2hNaHike4OJtAAOXyn45Zdf5rrrruPLL7/kr3/9K507dwbgs88+Y8SIEQ4HuOSSS7jkkkscXk5ExNPUX3tmbIexVO6rO7niUGBX2rozlEgL4XBB07dv3wZnOdV78cUX8fbWvS5FRI6loraChfsXAnBJp0uoXfUsAFVRPd0ZS6TFcPiQU8eOHcnLyzuqvbKykq5ddadYEZFjWZGxgvLactoGt6VfdD+iSupOiAho39/NyURaBocLmrS0NKxW61HtVVVVHDx40CmhRERamkUHFgEwpv0YqirLibfWXXaiTTfd8kDEGRp9jOjrr7+2f7xgwQLCwsLsr61WK4sWLdJ9mEREjqHGWsOy9GUAnN/hfNJT1tPFsFFAKDFx+rkp4gyNLmguv/xyAAzD4IYbbmjwno+PDwkJCUybNs2p4UREWoI12WsoqSkhKiCKvtF9Wbv8VQAO+nUiwuLwjnIROYZGFzT1155JTEwkOTmZqKgol4USEWlJFh6omwx8Xvx5WAwLZtZmAMoikk60mIg4wOHTklJTU12RQ0SkRbLarCw5sASA89ufD0Bo0U4AvNv2dVsukZbmlM6zXrRoEYsWLSInJ8e+56bef//7X6cEExFpCTblbiKvMo8Q3xAGxw7GZrXSvnofGBDdeZC744m0GA4XNE8++SRPPfUUgwYNok2bNhiG4YpcIiItQv3ZTee2OxcfLx/S92wh3qik0vShbefebk4n0nI4XNC8+eabzJw5k0mTJrkij4hIi2GaZoPTtQFydq0lHjjgk0hXH183phNpWRyeXl9dXX1KtzgQETnTpBSkkFGagb+XPyPa1v3crD64AYCC0O7ujCbS4jhc0Nxyyy3Mnj3bFVlERFqU+lsdjGw7kgDvAAAC87fXvRmrw00izuTwIafKykpmzJjBwoUL6dOnDz4+Pg3ef+mll5wWTkTEk9Ufbqo/uwkgrnIPAGEdB7olk0hL5XBBs3nzZvr16wfA1q1bG7ynCcIiInX2F+9nT+EevA1vzml3DgCHs9OJpgCbadC+u85wEnEmhwuaJUuWuCKHiEiLUr93ZnDsYML86m4Vk7lzDVHAQa842geHnWBpEXGUrrktIuICi/b/7+ymDmPsbWUHNgKQG9TNHZFEWjSH99CMHj36hIeWFi9efFqBREQ83aGyQ2w+vBkDg9Hxo+3tvrlbAKiO7uWuaCItlsMFTf38mXo1NTVs3LiRrVu3HnXTShGRM9Hi9Lo/7PpG9yU6MNreHl22C4Cg9v3cEUukRXO4oHn55ZeP2f6Pf/yD0tLS0w4kIuLpjnV2U3lpEe2smWBAXPch7oom0mI5bQ7Nddddp/s4icgZr7CykLXZa4GGBc2+TcuwGCa5RBAVG++ueCItltMKmpUrV+Lv7++s1YmIeKSfDv6E1bTSNaIr8aG/Fi6lm+cBkBY+zF3RRFo0hw85/eEPf2jw2jRNsrKyWLt2LY8//rjTgomIeKKFB+quDlx/7yYA02ajXc5SALx6jHdHLJEWz+GCJiys4bUTLBYL3bp146mnnuLCCy90WjAREU9TXlPOysyVAJzf4dfDTQdSNtDBzKbK9KHbiEvdFU+kRXO4oHn33XddkUNExOOtyFhBlbWK+JB4uoR3sbdnrvmcDsDOwP70DQl3Wz6RlszhgqbeunXr2LFjBwA9e/akf//+TgslIuKJ6s9uGtN+TIPrdUWk17VXdhzrllwiZwKHC5qcnByuvvpqli5dSnh4OACFhYWMHj2aOXPmEB0dfeIViIi0QNXWapYdXAbAee3Ps7cfzk6na81OMCBxxBXuiifS4jl8ltNdd91FSUkJ27ZtIz8/n/z8fLZu3UpxcTF33323KzKKiDR7q7NWU1pTSnRANH2i+9jbU3/5HIthstu7CzFtE92YUKRlc3gPzfz581m4cCE9evSwtyUlJfH6669rUrCInLHqDzed1/48LMavfyt675kPwOG259PlmEuKiDM4vIfGZrPh4+NzVLuPjw82m80poUREPInVZmVJ+hKg4cX0KstL6Va2DoCYgZe5JZvImcLhgua8887jnnvuITMz096WkZHBfffdx/nnn3+CJUVEWqaNuRvJr8wn1DeUQbGD7O0pq+YRaFSRTRQde+mCeiKu5HBB89prr1FcXExCQgKdOnWiU6dOJCYmUlxczPTp012RUUSkWVu4v+5ieqPiR+Fj+XUPduXWbwHYH3UOhsVpF2YXkWNweA5NfHw869evZ+HChezcuROAHj16MGbMmJMsKSLS8pimyeIDdXfXPvLsJpvVSsf85QAE9tbF9ERc7ZSuQ2MYBhdccAEXXHCBs/OIiHiUHfk7yCzLJMA7gBFxI+ztezatoCsFlJoBdB06zo0JRc4MDu8Dvfvuu/m///u/o9pfe+017r33XmdkEhHxGPVnN42MG0mAd4C9PW/9lwDsChmCn3+gO6KJnFEcLmjmzp3LyJEjj2ofMWIEn332mVNCiYh4ikX76wqaI+/dBNA6s+4wlK3rRU2eSeRM5HBBk5eXd9QNKgFCQ0M5fPiwU0KJiHiCtKI09hbtxdvw5px259jbM9NS6GhLo9a00GXkH9yYUOTM4XBB07lzZ+bPn39U+/fff0/Hjh2dEkpExBMsTq/bCzOkzRBCfUPt7QdWzgUgxa8nYZGt3ZJN5Ezj8KTg+++/nzvvvJPc3FzOO69uRv+iRYuYNm0ar7zyirPziYg0W/VnNx15MT2AoLQfACjpoBMnRJqKwwXNTTfdRFVVFc888wxPP/00AAkJCbzxxhtcf/31Tg8oItIc5Zbnsjl3M1B3/Zl6xYV5dK/cDAa0HarDTSJN5ZRO277jjju44447yM3NJSAggODgYGfnEhFp1pYeXIqJSZ+oPsQExtjbd//8BQMNK/st8XTo3NuNCUXOLKdU0NSLjo52Vg4REY9Sf7hpdPvRDdrNlO8ByGw9mg5NnkrkzNWoScHjxo1j1apVJ+1XUlLC888/z+uvv37awUREmqvS6lJWZ60G4Lz4X68OXFNdRdfilQBE9P+dW7KJnKkatYdmwoQJXHHFFYSFhXHppZcyaNAg4uLi8Pf3p6CggO3bt7NixQq+++47xo8fz4svvujq3CIibrMicwU1thoSQhNIDEu0t6ck/0AvysgnlC4DRp9gDSLibI0qaG6++Wauu+46Pv30Uz7++GNmzJhBUVERUHcbhKSkJMaOHUtycjI9evRwaWAREXc78nCTYRj29tJN3wCwJ/wshnif1hF9EXFQo7/j/Pz8uO6667juuusAKCoqoqKigsjISHx8fE6ytIhIy1BjrWH5wbqbTh55uMm02WiX+xMAPknj3ZJN5Ex2yn9ChIWFHfOKwSIiLVlydjKlNaVE+kfSJ7qPvf1AygY6mNlUmT50G6G7a4s0NYevFCwiciarvzrw6PajsRi//gjNXPM5ADsD+xMYrD/2RJqaChoRkUaymTaWpC8BGh5uAohIr7tJZWXHsU2eS0RU0IiINNr2vO3klOcQ6B3I0DZD7e2Hs9PpWrMTgMQRV7grnsgZTQWNiEgj1Z/ddHa7s/H18rW3p/7yORbDZLd3F2LaJh5vcRFxIYcLmhtuuIFly5a5IouISLNWX9D89nCT9575ABxue/5Ry4hI03C4oCkqKmLMmDF06dKFZ599loyMDFfkEhFpVtKK0thbtBdvizdntzvb3l5ZXkr3srUAxAz6vbviiZzxHC5ovvzySzIyMrjjjjv4+OOPSUhI4KKLLuKzzz6jpqbGFRlFRNyufjLwkNghhPiG2Nt3rpxHgFFNNtF07DnEXfFEzninNIcmOjqa+++/n02bNrF69Wo6d+7MpEmTiIuL47777mP37t3Oziki4lbHO9xUvW0eAPujzsGwaFqiiLuc1ndfVlYWP/74Iz/++CNeXl5cfPHFbNmyhaSkJF5++WVnZRQRcavDFYfZlLsJgFHxo+ztNquVjvl1Vw0O7KOL6Ym4k8MFTU1NDXPnzuWSSy6hQ4cOfPrpp9x7771kZmYya9YsFi5cyCeffMJTTz3lirwiIk1uafpSTEx6R/WmdVBre/uuDUuJopBSM4BuQy9yX0ARcfzWB23atMFms3HNNdewZs0a+vXrd1Sf0aNHEx4e7oR4IiLuZ78ZZXzDO2gXrZ4NwM6wkQzy82/yXCLyK4cLmpdffpkJEybg73/8b97w8HBSU1NPK5iISHNQVlPGqqxVAJzX/tf5M7U11XTO/REAn/5XuyWbiPzK4UNOS5YsOebZTGVlZdx0001OCSUi0lysyFhBja2GDqEd6BjW0d6+fcXXRFJEPqEkjfydGxOKCJxCQTNr1iwqKiqOaq+oqOC9995zSigRkebiyLObDMOwt1dt/BiA3VFj8PH1c0s2EflVow85FRcXY5ompmlSUlLS4JCT1Wrlu+++IyYmxiUhRUTcocZaw/KDdWcxHXm4qaKshKTCZWBA2NCJ7oonIkdodEETHh6OYRgYhkHXrl2Pet8wDJ588kmnhhMRcafkQ8mU1JQQ6R9J76je9vZtS+cwyKgk02hNt4HnnWANItJUGl3QLFmyBNM0Oe+885g7dy6tWrWyv+fr60uHDh2Ii4tzSUgREXeoP9w0Kn4UXhYve7v3trkA7I+7mDhdTE+kWWh0QXPuuecCkJqaSvv27RscSxYRaWlsps1+u4MjDzcVHs6mZ9kaMCDu7OvdFU9EfqNRf1ps3rwZm80G1N2ccsuWLWzevPmYj1P13HPPYRgG99577ymvQ0TEWbbnbSenPIdA70CGthlqb09Z/D4+hpU9Xp3o0H2AGxOKyJEatYemX79+ZGdnExMTQ79+/TAMA9M0j+pnGAZWq9XhEMnJybz11lv06dPH4WVFRFyh/nDTWW3Pws/r17OYQnZ/CcDhxEvp7I5gInJMjSpoUlNTiY6Otn/sTKWlpUycOJG3336bf/7zn05dt4jIqTrW4aas/Skk1WzFZhp0HH2jm5KJyLE0qqDp0KHDMT92hilTpjB+/HjGjBlz0oKmqqqKqqoq++vi4mKnZhERAdhfvJ89hXvwNrw5u93Z9va0pe/RBtjh14eebRPdF1BEjnJKF9b79ttv7a8feughwsPDGTFiBPv373doXXPmzGH9+vVMnTq1Uf2nTp1KWFiY/REfH+/Q9kREGmPJgbq9M4NjBxPqG2pvj93/DQBl3X7vllwicnwOFzTPPvssAQEBAKxcuZLXXnuNF154gaioKO67775Gryc9PZ177rmHDz/88IT3hTrSo48+SlFRkf2Rnp7uaHwRkZNanP6/qwMfcbgpddtqEm37qTa96XbeJHdFE5HjcPjmlOnp6XTuXDcV7ssvv+TKK6/kT3/6EyNHjmTUqFGNXs+6devIyclhwIBfzxKwWq0sW7aM1157jaqqKry8vBos4+fnh5+fLjEuIq5zuOIwG3M2AnXXn6mXveIDEoFtwcPoHxHllmwicnwOFzTBwcHk5eXRvn17fvjhB+6//34A/P39j3mPp+M5//zz2bJlS4O2yZMn0717dx5++OGjihkRkabwU/pPmJj0iuxFbFAsADarlcSs7wAwe13pzngichwOFzQXXHABt9xyC/3792fXrl1cfPHFAGzbto2EhIRGryckJIRevXo1aAsKCiIyMvKodhGRpnKsw007k38kicOUmAEkjbrKXdFE5AQcnkPz+uuvM3z4cHJzc5k7dy6RkZFA3SGka665xukBRUSaSllNGasyVwEwOn60vb0keTYAOyJG4x8Q5JZsInJiDu+hCQ8P57XXXjuq3Rk3ply6dOlpr0NE5FT9nPEz1bZq2oe0p1N4JwCqqyrplrcIgIABV7sznoicgMMFDUBhYSFr1qwhJyfHfksEqLtS8KRJmv0vIp7ph/0/AHWHm+rvV7d9+Rf0o5RcIkgaMd6d8UTkBBwuaL755hsmTpxIaWkpoaGhDW5SqYJGRDxVeU05yw4uA2Bcwjh7u3XTxwDsbT2WaO9T+htQRJqAw3NoHnjgAW666SZKS0spLCykoKDA/sjPz3dFRhERl1uWsYyK2graBbcjKTIJgNLiApKKfwYgcthEd8YTkZNwuKDJyMjg7rvvJjAw0BV5RETcYkHqAgDGJoy173nesXg2AUY16UYcnfue5c54InISDhc0Y8eOZe3ata7IIiLiFmU1ZSzPWA7AuMRfDzf57fwcgIPxl2JYHP5xKSJNyOEDwuPHj+fBBx9k+/bt9O7dGx8fnwbv/+53v3NaOBGRprA0fSlV1ioSQhPoFtENgMPZ6fSsWAcGxJ9zvXsDishJOVzQ3HrrrQA89dRTR71nGAZWq/X0U4mINKH5afMBuDDhQvvhpj1L3mOYYbLLuytdO+tinyLNncMFzZGnaYuIeLri6mJ+zqib+Hvk2U0Re78CIL/T5e6IJSIOOq2DwpWVlc7KISLiFkvTl1Jjq6FTWCe6RHQB4OCerXSrTcFqGnQerUtRiHgChwsaq9XK008/Tdu2bQkODmbfvn0APP7447zzzjtODygi4krzU+sON41NGGtvS1/2HgDbAgYQFdveLblExDEOFzTPPPMMM2fO5IUXXsDX19fe3qtXL/7zn/84NZyIiCsVVRWxMnMlAGMT6woa02aj7cF5AFR1v8Jt2UTEMQ4XNO+99x4zZsxg4sSJeHl52dv79u3Lzp07nRpORMSVFh9YTK1ZS9eIrnQM6wjAns0/096WQaXpQ/fRuuGuiKc4pQvrde7c+ah2m81GTU2NU0KJiDSF+rObjjzclLfyAwC2hYwkJKyVW3KJiOMcLmiSkpJYvnz5Ue2fffYZ/fv3d0ooERFXy6/MZ3XWauDXs5ustbV0OlR3xWCvvn90WzYRcZzDp20/8cQT3HDDDWRkZGCz2fj8889JSUnhvffeY968ea7IKCLidIsOLMJqWunRqgftQ+sm/u5Y+S29KKCIIJLO+YObE4qIIxzeQ3PZZZfxzTffsHDhQoKCgnjiiSfYsWMH33zzDRdccIErMoqION2R926qV7267kzNnZFj8PXzd0suETk1Du+hATj77LP58ccfnZ1FRKRJHK44TPKhZODXgiY7fQ99SpaDAdGjp7gznoicAof30HTs2JG8vLyj2gsLC+nYsaNTQomIuNLC/QuxmTZ6R/WmXUg7AFK/exVvw8Y23z507DXUzQlFxFEOFzRpaWnHvF9TVVUVGRkZTgklIuJKvz27qaKshKSsuQBUD7rNbblE5NQ1+pDT119/bf94wYIFhIWF2V9brVYWLVpEQkKCU8OJiDhbTnkO6w+tB34taDZ/N4OhlJFptKbPeVe7M56InKJGFzSXX345UHdH7RtuuKHBez4+PiQkJDBt2jSnhhMRcbYf9/+IiUm/6H7EBsVi2my03jETgAOdryPO+5SmFoqImzX6O7f+LtuJiYkkJycTFRXlslAiIq5Sf++mcYl1157ZuuIbetsOUGb6kzRek4FFPJXDf4qkpqa6IoeIiMtll2WzMXcjBgYXdKi7zIRt5esAbI0ez9DwSHfGE5HTcEr7VhctWsSiRYvIycmx77mp99///tcpwUREnG1BWt21Zwa0HkBMYAzpe7bQt6LuasFxY+9xZzQROU0OFzRPPvkkTz31FIMGDaJNmzYYhuGKXCIiTldf0NTf6iBzwSvEA5sChtC3S183JhOR0+VwQfPmm28yc+ZMJk2a5Io8IiIucbDkIFsOb8FiWBjTYQzFhXn0ypkHBliG3eHueCJymhy+Dk11dTUjRoxwRRYREZep3zszuPVgogKi2P7dvwkyKtlviafX2Ze7N5yInDaHC5pbbrmF2bNnuyKLiIjL1Bc0YxPHYq2tJX73+wBkd78Bw+Lwj0IRaWYcPuRUWVnJjBkzWLhwIX369MHHx6fB+y+99JLTwomIOMOB4gPsyN+Bl+HFmPZj2LLkE/qZhygiiN4X/8nd8UTECRwuaDZv3ky/fv0A2Lp1a4P3NEFYRJqj+lsdDG0zlAj/CDLWvgXA9ja/Z3hw2IkWFREP4XBBs2TJElfkEBFxmSPPbkrdtppeVRupNS0kXnSve4OJiNPowLGItGj7ivaxq2AX3oY357U/j9yFrwKwOeQsYtt3cXM6EXGWRu+h+cMf/tCofp9//vkphxERcbbv9n0HwPC44diKy+mT/wMYEHD2nW5OJiLO1OiC5si7a4uIeIJaWy1f7P4CgEs7XUrKt9MZZtSwx6sT3Qdf4OZ0IuJMjS5o3n33XVfmEBFxup8O/kRORQ6t/FtxbuzZlKb9GYCC3jfrVG2RFkbf0SLSYn2661MALut8GdsXf0QM+RwmnD7jJrs5mYg4mwoaEWmRDpYc5JeMXwCY0GUCIRv+A8Du+An4+Qe6M5qIuIAKGhFpkebunouJyfA2w6nYs5dutTupNr3oMv5ud0cTERdQQSMiLU6NtcY+GXhCtwkUL50OwKbwMUTFtndnNBFxEYcvrCci0twtTl9MXmUeUQFR9PJKJKpoCRgQcZ72zoi0VNpDIyItTv1k4N93/j1p376Kj2Flh09POvc9y83JRMRVVNCISIuyv3g/q7NWY2BwfquR9M38GICqIbqQnkhLpoJGRFqUz3Z9BsBZbc+iZP47BBpV7PbuQt/zr3ZzMhFxJRU0ItJiVFur+XLPlwCMjRlF36y6Q0/lIx/WhfREWjh9h4tIi/Hj/h8prCqkdWBrolb8SIBRTYp3d/qce4W7o4mIi6mgEZEWo34y8LjY8xl0qO607epzHtHeGZEzgL7LRaRF2Fe4j3WH1mExLPTcvA0/o4YdPj3pddZl7o4mIk1ABY2ItAj1e2eGRQ7i/JzvAbCOelR7Z0TOEPpOFxGPV1lbyVd7vwJg8IE8fI1atvn2odfIS92cTESaigoaEfF4P+z/gZLqElr7RTMxexkAxujH3JxKRJqSChoR8XifpHwCwMhCLwIMK1v8+pM0/CI3pxKRpqSCRkQ8Wkp+CptyN+FleHFHznoAfM7/q5tTiUhTU0EjIh6tfjJw/6ogYm21bPYfTPchF7g5lYg0NRU0IuKxymvK+XbftwDckrcHAP8L/+bOSCLiJipoRMRjzU+bT2lNKTFWH4ZXVrIxYBhdB4xydywRcQMVNCLiseonA19bmIsFCB73uHsDiYjbqKAREY+0LW8b2/K24W3C70tL2RA4ks59z3J3LBFxExU0IuKRPk2pmww8pqyMVjYboRc94eZEIuJOKmhExOOUVpfyXep3AFxVUsr64HPo1HuYm1OJiDupoBERj/Nd6ndU1FaQWF3DgIpqIi7W3hmRM50KGhHxKKZp2icDTygpZWPoaBKTBrs5lYi4mwoaEfEoWw5vIaUgBV+byfiScqIu+bu7I4lIM6CCRkQ8yscpHwMwtqycfSHn0aFbP/cGEpFmwdudG586dSqff/45O3fuJCAggBEjRvD888/TrVs3d8YSkSZWVVnOwd2bMW3WE/bLrDrEvL3fADChuIyoq7R3RkTquLWg+emnn5gyZQqDBw+mtraWxx57jAsvvJDt27cTFBTkzmgi0kSstbXseelCelZvOWnfGdGR2IKDOLu8gtrA0cR37t0ECUXEE7i1oJk/f36D1zNnziQmJoZ169ZxzjnnuCmViDSl5NlPMqx6C9WmF4VG2HH77fWxMD8oAIDfFwUTf+3TTRVRRDyAWwua3yoqKgKgVatWx3y/qqqKqqoq++vi4uImySUirrFv62oG7P03GLCx3z8Y8vu7j9v36cV3YaYv5cIOF3LBDdOaLqSIeIRmMynYZrNx7733MnLkSHr16nXMPlOnTiUsLMz+iI+Pb+KUIuIsVZXl8Pmf8DVq2RA4gsGX3XncvptzN7M0fSkWw8KU/lOaLqSIeIxmU9BMmTKFrVu3MmfOnOP2efTRRykqKrI/0tPTmzChiDjT+vcepqMtjQJCib9+Bobl+D+Opm+YDsClHS+lY1jHpoooIh6kWRxyuvPOO5k3bx7Lli2jXbt2x+3n5+eHn59fEyYTEVfYufoHhmS8DwakDn+WAbHH39u6JmsNq7JW4W3x5o5+dzRhShHxJG7dQ2OaJnfeeSdffPEFixcvJjEx0Z1xRKQJlJUUEjz/LrwMk+SwsQwYO+m4fU3T5P82/B8AV3a5krbBbZsqpoh4GLfuoZkyZQqzZ8/mq6++IiQkhOzsbADCwsIICAhwZzQRcZGtM+9hqJlNNlF0vfHfJ+y77OAyNuVuwt/Lnz/1+VMTJRQRT+TWPTRvvPEGRUVFjBo1ijZt2tgfH3/8sTtjiYiLbFryKUPzvgTg8PkvERYRddy+NtNmnztzTY9riA6MboqIIuKh3LqHxjRNd25eRJpQUd4h4n56EIBV0RMYdvZlJ+z/Q9oPpBSkEOwTzE09b2qKiCLiwZrNWU4i0rLtmXk70RRwwNKWvje+fMK+tbZaXt/4OgDX97yecP/wJkgoIp5MBY2IuNzab99mYMliak0LlZf8m4CgkBP2/2bvN6QVpxHuF86kHsefNCwiUk8FjYi4VE5GKl2S624imdz+JroOGHXC/tXWat7Y9AYAt/S+hWDfYFdHFJEWQAWNiLiMabOR/f4thFHGbq/ODJr07EmX+XTXp2SVZRETEMMfu/2xCVKKSEuggkZEXGbNZ9PoU7mWKtMH3wlv4+N74gtjlteU8/bmtwG4re9t+Hv7N0VMEWkBVNCIiEsc3LOV3tteBGBDt3vo0H3ASZeZvXM2eZV5tA1uy+87/97VEUWkBVFBIyJOV1lRRvmcyQQaVWzz7cOQPz520mWKq4t5d+u7AEzpNwUfLx9XxxSRFkQFjYg4lWmzsfmtW+hau4sigmg18T9YvLxOutysbbMori6mU1gnLk68uAmSikhLooJGRJxqzWf/Ykjhd1hNg/2jptOmQ7eTLpNXkcf7298H4M7+d+JlOXkBJCJyJBU0IuI0O1YvYMC25wBY0+ku+oy6olHL/WfLf6iorSApMonz25/vyogi0kKpoBERpzh0cC/R3/8JH8PKuuBRDLvuyUYtt+7QOj7c8SEA9/S/B8MwXBlTRFooFTQictoqK8oomnk1URSSakmgx+3vYVhO/uOlpLqEx5Y/honJ5Z0vZ0TbEU2QVkRaIhU0InJafjsJ2Pe6OQQGhzVq2amrp5JZlkm74HY8MuQRFycVkZZMBY2InJYjJwEfGP0abTv2aNRy81Pn882+b7AYFqaePZUgnyAXJxWRlkwFjYicst9OAu597h8atVx2WTZPrXoKgFt730q/mH6uiigiZwgVNCJySk51ErDNtPG3FX+jpLqEXpG9uK3vbS5OKiJnAhU0IuKwU50EDPD+9vdZnb2aAO8App49FR+LrggsIqdPBY2IOOR0JgGn5Kfw6vpXAXhw8IMkhCW4MKmInElU0IiIQ051EnCVtYpHlj9Cja2GUfGjuLLLlS5OKiJnEhU0ItJoR04CTnZgEjDAK+teYU/hHiL9I3lyxJO6gJ6IOJUKGhFplAaTgENGM7SRk4ABfsn8hQ92fADAUyOfopV/K1fFFJEzlAoaETmpooLDFM/8I1EUss+SQI/bZjV6EnBhZSGPr3gcgD92+yPntDvHlVFF5Azl7e4AItK85WSkUvbOZXSx7aeQYPwcmARsmiZPrXqKnIocEkITeGDQAy5OKyJnKu2hEZHj2p+yEdvbF5Bo208uEeRf+XmjJwEDfL33a37c/yPehjfPnfMcAd4BLkwrImcy7aERkWPauXYRsfOuJ5xSDlja4nPDF3Ts0K3Ry6eXpPPs6mcBmNJ/Cj0je7oqqoiIChoROdqmxXPo+tNdBBjVpHh3I+a2r4iIbtPo5Yuqirh/6f2U15YzIGYAk3tOdmFaEREVNCLyG2u++D8GbPw73oaNTf6D6XLn3EbPmYG6ScC3/ngrO/N30sq/Fc+e/SxeFi8XJhYRUUEjIv9j2mysev9vDE99HQxIDhtHvynv4ePr1+h1FFQWcOsPt5JSkEIr/1a8c+E7tA1u68LUIiJ1VNCICDarleQ3/8Tw3M8AWNnmeobd+mqjT80GyK/M55YfbmF3wW4i/SN5Z+w7dArv5KrIIiINqKAROcNVVZaz9bVrGFq6FIBVXf/C8Gsfd2gdeRV53PLDLewp3ENUQBTvjH2HjmEdXZBWROTYVNCInMGKC/NI//fvGVi9iWrTi81DnmfY+FsdWsfhisPcsuAW9hbtJTogmnfGvkNiWKKLEouIHJsKGpEzVNqOtZif3kxPWxplpj/7zp/BoHMuc2gdhysOc/OCm9lXtI+YgBjeGfuO7qAtIm6hgkbkDGOtrSV5ztP03/06fkYNeYSR//sP6d3vbIfWk1uey80/3ExqUSoxgTH8d+x/6RDawUWpRUROTAWNyBnk4J6tlHx8K8NqtoMBm/wHE3f9f+gSl+DQenLKc7h5wc2kFacRGxTLfy/8L/Gh8a4JLSLSCCpoRM4Aps3Gms/+Re9t/6KdUUWZ6c+2Po8w+Pf3OHQmE8ChskPc/MPN7C/eT5ugNrwz9h3iQ1TMiIh7qaARaeGy0/eQ+8GtDK1aDwZs8+1DxLX/YUhC429jYF9XWTY3L7iZAyUHiAuK452x79AupJ0LUouIOEYFjUgLZdpsrP36Dbpt/Ce9KafS9GFjt3sZ8sdHsXg5fuXe7LJsblpwE+kl6bQNbss7Y3XRPBFpPlTQiLRAeYcOcmDWnxhc/jMAKd7dCLhqBsO69jul9SVnJ/PXFX8lqyyLtsFt+e/Y/xIXHOfExCIip0cFjUgLs2HBLBJW/o3+FFNterE+8XYGTfwH3j6+Dq+rvKacl9e9zJyUOQC0D2nPO2PfITYo1tmxRUROiwoakRairKSQHW/fzKDihQDssyRg/v4thvUedkrrS85O5vGfHyejNAOACV0n8MCgBwjyCXJaZhERZ1FBI9ICFORmkfvW7xhUuwurabCm3Q0MmDQVP/9Ah9dVXlPOK+tf4aOdHwHQJqgNT454kuFxw50dW0TEaVTQiHi47AO7qZp5OV1tBykghEMX/5fhQy88pXX9dq/MlV2v5IGBDxDsG+zMyCIiTqeCRsSD7d+5Hv85V9KBPA4RSeXVn9G9+wCH1/PbvTKxQbE8OeJJRsSNcHZkERGXUEEj4qFS1i6m9bxJhFPKfks7/CZ/RYf4zg6vJzk7mSd+foKDpQcBuKLLFfxl0F+0V0ZEPIoKGhEPtHnpXDovuYNAo4pd3l2Juf0bwqMcO/PoYMlB3t36Lp/s+gT4316Z4U8yoq32yoiI51FBI+Jh1s6bQZ/kR/A1rGz2H0inKZ8TFBLeqGVN02RDzgbe3/4+i9MXYzNtQN1emQcGPUCIb4gLk4uIuI4KGhEPsnrOVAbveB6LYbIu5Dx63/kRvn7+J12uxlbDD2k/8P7299mWt83ePiJuBDf3upkhbYa4MraIiMupoBHxAKbNxqp3H2R4+n/AgNVRVzD4jrdPeguDoqoiPt31KR/t/Iic8hwAfC2+XNrpUq7rcR2dIxyfcyMi0hypoBFp5qy1tax942aG530JwMoOtzPshqknvEt2alEqH2z/gK/3fk2ltRKASP9Iru5+NVd1u4pW/q2aIrqISJNRQSPSjGWn7yHz4/sYWroMm2mQ3PMxhl/10DH71tpqWZO1hg92fMDyjOX29u6tujMpaRLjEsbh6+X47Q9ERDyBChqRZqYgN4tdSz4gZPeXJNVsJRaoNr3YMnQaQy+e3KBvbnkuKzJWsDxjOasyV1FSUwKAgcG58edyfdL1DGo9CMMw3DASEZGmo4JGpBkoKylkx5I5+OyYS1L5OoYaVvt723x7w6jHGDjiYmpttWzK3cSKjBWsyFjBzvydDdYT7hfORYkXMbHHRDqEdmjqYYiIuI0KGhE3qa6qZPuyz7Fu/oSk4p8ZZFTXvWHAHq9OHE68lIRzJxEdGcrPGT/z36UPsDJrJSXVJfZ1GBj0iurFWW3P4qy2Z9EzsidelhNPFBYRaYlU0Ig0EdNmI2PfdrK2LcNMW0G3gqX0o6zuTQMOGG3Y0G40pT36k+dfyc78naSsvI2cipwG6wn3C2dE3AjOansWI9uO1ARfERFU0Ii4TGlxAWmbllGydyWBh9bTvmI77SihHVAN7PH14UvfGNaFJ5AdFsSBmmzKalbA7hUN1mNg0DOyJ2e1q9sL0yuyl/bCiIj8hgoaESewWa2k79nCoe3LMNOTCSvahLeRSaGPF5ne3mT5e5EZ7EuGdywHvf3I9zIx7fN0s6G87iNfiy9dIrrQvVV3+6NLRBeCfILcNTQREY+ggkakkaprq0jLTGH//k3k5OyiqCiNioosqmvzsRrF5HmbZHp7kRXsTUGYF9DmOGsyAQjzC6srWiK6061VN3q06kFCWALeFn1biog4Sj85pUWzmTZqbDVUWauorK2kvKacstoyymvKqaitqHtdU0Z5bTnlNeWU15SRV5TD4cKDFFUcpqSmmHKzgjKjlvLfXsfOC7DfkDrgqG0HeQcSF9KWuKA42gS1IS44jjbBbYgLiiMuOI5I/0idTi0i4iQqaI6hvKacoqqiY75n/u+v68a2Q90NAU+6jHmc9v+9rl9H/Xv2PuYRbUf0OXKZI9dR/9+Ryx7Zbv/YNLGZNnvf+o9N89c+9W0209bwgc2+/JGPWrMWm82G1bRiMxs+W21We59a228e/2ursdVQa6vFarNSa9ZSba22P6psVXXP1qpf26xV1Nhqjvt1aZTfFDGGaRJigyCbF0GGP4HeIYT6RREVFkfX+L60C21vL1xCfUNPb9siItJoKmiO4aeDP/HQsmNfjVU8l4GBP97420yCrLWEWqsJMm0E2WwEmCaBNpMg04a/zcRmBmOxRODn25qgkPa0iupCfLvedOzYn8BA3ZFaRKS5UUFzDIZh4Ofl5/hyHH344GSHFI5c5si+v12X/bXR8HX9MvbXx2hv8DEGdf//2s/+n/Hrs8Ww2PvUf2xfj2HgZXhhUNfPYljqlsFif13fZlDX18vihcWw4GXUPXsb3lgsda/r2+r7eVu88Ta8qC4rp7I4D1tJAV5lefhVFRJcU0CktQh/bPiYJn7/e9R9DH6mie//Hn6/efb+9dNnV0wgB306UhLWDSOuN+GJA4jvNoCAIBUtIiKexDCPdzzEAxQXFxMWFkZRURGhodq970lsViv5uZkUZKdRmrOf6oKD2Ioy8CveT1jFAdrUZhJoVB13+SrThzLj6HkrJ1JmBJMb2JmqqCQC2vWlddeBxMZ3OeFNHkVExPlc8ftbe2jEqWqqqyjKP0RJXhZlBYeoKsqhpjATijPxKc8msPIQ4TW5RJr5RBlWoo63IgNqTQvZltbk+cdTEZKAEdmZwDZdieqQREzbTrTyduyfbysg/nQHKCIizVKzKGhef/11XnzxRbKzs+nbty/Tp09nyJAh7o51RquprqK0KJ+yojwqSvKpKi2guqyA2rJCbBWFmOV5eFXk4VNVQEBNIUG1hYSZRYRSRhQcv1CpZ4DNNDhsRFDoHUWZXwzVAa0xIxLwj+1KZPsexHboTjtfP9o1wXhFRMSzub2g+fjjj7n//vt58803GTp0KK+88gpjx44lJSWFmJgYd8fzeLU11RTl51Caf4iywhyqinOoLj6MWZYHFXl4VebjW12IX20p/tYSAm1lBJtlBBpVRAARp7BNm2lQZIRQbAmjzDucCr8oagJjIawtvhHtCIyKJzw2gcjW8cT4+qGvsoiInC63z6EZOnQogwcP5rXXXgPAZrMRHx/PXXfdxSOPPHLCZV01h6a8tIiivGxsVhs2azU2qxWbtabu2WbFVluDabNis9Zis9ViWmsxrdYTnrp9LGb9umqrsNVWg7UGW201prXu4/pnrNUY1hqw1WLY6p9rsdiq657NWvuzxazFx1pJoLWYULOIsPp7BZ2iMtOfUiOIckswlV7BVHsHU+MTQq1fBGZgJJagKHxCo/EPa01QRGtCI9sQGhGNl4OHg0RE5MzR4ubQVFdXs27dOh599FF7m8ViYcyYMaxcudJtubYvmcOgdS3rtO1CgikxQuv2mPiEU+MbjjWgFUZgJF5BkXgFtcI3OBz/4AgCQiIJDmtFUGgEQT6+6KL7IiLS3Lm1oDl8+DBWq5XWrVs3aG/dujU7d+48qn9VVRVVVb+e+VJcXOySXBZvXypNH6x4YTUs2LBgxevXZ8OC7chnLNgML8xjnLZ9QoZBreGDzfDGavHBZvhgs/hgWrz/91z3wOJd97GXD8b/nrF4Y3j5gJcPhpcvhpdP3cPbB4tPAP5h0QSFxxDSqjWhEdGE+/gS7pLPloiIiPt51HGBqVOn8uSTT7p8OwMumgwXTXb5dkRERMQ53HoBjqioKLy8vDh06FCD9kOHDhEbG3tU/0cffZSioiL7Iz09vamiioiISDPm1oLG19eXgQMHsmjRInubzWZj0aJFDB8+/Kj+fn5+hIaGNniIiIiIuP2Q0/33388NN9zAoEGDGDJkCK+88gplZWVMnqxDPiIiItI4bi9o/vjHP5Kbm8sTTzxBdnY2/fr1Y/78+UdNFBYRERE5Hrdfh+Z06F5OIiIinscVv791Vz4RERHxeCpoRERExOOpoBERERGPp4JGREREPJ4KGhEREfF4KmhERETE46mgEREREY+ngkZEREQ8ngoaERER8Xhuv/XB6ai/yHFxcbGbk4iIiEhj1f/edubNCjy6oCkpKQEgPj7ezUlERETEUSUlJYSFhTllXR59LyebzUZmZiYhISEYhuHUdRcXFxMfH096enqLvU/UmTBG0DhbGo2z5TgTxgga57GYpklJSQlxcXFYLM6Z/eLRe2gsFgvt2rVz6TZCQ0Nb9D9AODPGCBpnS6NxthxnwhhB4/wtZ+2ZqadJwSIiIuLxVNCIiIiIx1NBcxx+fn78/e9/x8/Pz91RXOZMGCNonC2NxtlynAljBI2zqXj0pGARERER0B4aERERaQFU0IiIiIjHU0EjIiIiHu+MLWjy8/OZOHEioaGhhIeHc/PNN1NaWnrC/nfddRfdunUjICCA9u3bc/fdd1NUVNSg34EDBxg/fjyBgYHExMTw4IMPUltb6+rhHJej4wSYMWMGo0aNIjQ0FMMwKCwsPKrP+vXrueCCCwgPDycyMpI//elPJ12vq7hqjLt27eKyyy4jKiqK0NBQzjrrLJYsWeKiUZycK8a5dOlSDMM45iM5OdmFozk+V309Ab799luGDh1KQEAAERERXH755c4fQCO5apwJCQlHfS2fe+45F43i5Fz59QSoqqqiX79+GIbBxo0bnRveAa4a5+9+9zvat2+Pv78/bdq0YdKkSWRmZrpoFCfmijGmpaVx8803k5iYSEBAAJ06deLvf/871dXVDuc7YwuaiRMnsm3bNn788UfmzZvHsmXL+NOf/nTc/pmZmWRmZvKvf/2LrVu3MnPmTObPn8/NN99s72O1Whk/fjzV1dX88ssvzJo1i5kzZ/LEE080xZCOydFxApSXlzNu3Dgee+yxY76fmZnJmDFj6Ny5M6tXr2b+/Pls27aNG2+80QUjODlXjBHgkksuoba2lsWLF7Nu3Tr69u3LJZdcQnZ2trOH0CiuGOeIESPIyspq8LjllltITExk0KBBrhjGSbnq6zl37lwmTZrE5MmT2bRpEz///DPXXnuts+M3mqvGCfDUU081+JreddddzozuEFeOE+Chhx4iLi7OWXFPmavGOXr0aD755BNSUlKYO3cue/fu5corr3R2/EZxxRh37tyJzWbjrbfeYtu2bbz88su8+eabjfraH8U8A23fvt0EzOTkZHvb999/bxqGYWZkZDR6PZ988onp6+tr1tTUmKZpmt99951psVjM7Oxse5833njDDA0NNauqqpw3gEY63XEuWbLEBMyCgoIG7W+99ZYZExNjWq1We9vmzZtNwNy9e7fT8jeGq8aYm5trAuayZcvsbcXFxSZg/vjjj07L31iuGudvVVdXm9HR0eZTTz11upFPiavGWVNTY7Zt29b8z3/+4+zIp8SVX88OHTqYL7/8shPTnjpX/7v97rvvzO7du5vbtm0zAXPDhg1OSu6Ypvr+NE3T/Oqrr0zDMMzq6urTieywphzjCy+8YCYmJjqc8YzcQ7Ny5UrCw8Mb/AU6ZswYLBYLq1evbvR6ioqKCA0Nxdvb277e3r1707p1a3ufsWPHUlxczLZt25w3gEZy1jh/q6qqCl9f3wb33wgICABgxYoVpx74FLhqjJGRkXTr1o333nuPsrIyamtreeutt4iJiWHgwIHOiO4QV43zt77++mvy8vKYPHmy09bpCFeNc/369WRkZGCxWOjfvz9t2rThoosuYuvWrc6I7TBXfz2fe+45IiMj6d+/Py+++KLbDnu7cpyHDh3i1ltv5f333ycwMPB0o56Wpvr+zM/P58MPP2TEiBH4+Pg4bb2N0VRjhLrfra1atXJ4uTOyoMnOziYmJqZBm7e3N61atWr04YTDhw/z9NNPN9jdlp2d3aCYAeyv3XGYwhnjPJbzzjuP7OxsXnzxRaqrqykoKOCRRx4BICsr67QyO8pVYzQMg4ULF7JhwwZCQkLw9/fnpZdeYv78+URERJxubIe5apy/9c477zB27FiX3yPteFw1zn379gHwj3/8g7/97W/MmzePiIgIRo0aRX5+/mllPhWu/HrefffdzJkzhyVLlnDbbbfx7LPP8tBDD53WOk+Vq8ZpmiY33ngjt99+u9sOjR7J1d+fDz/8MEFBQURGRnLgwAG++uqr016no5rqZ9CePXuYPn06t912m8PLtqiC5pFHHjnuBMf6x86dO097O8XFxYwfP56kpCT+8Y9/nH5wBzXVOI+nZ8+ezJo1i2nTphEYGEhsbCyJiYm0bt3aaXdNdfcYTdNkypQpxMTEsHz5ctasWcPll1/OpZde6tSizd3jPNLBgwdZsGBBg3lhzuLucdpsNgD++te/csUVVzBw4EDeffddDMPg008/ddp23D1OgPvvv59Ro0bRp08fbr/9dqZNm8b06dOpqqpy2jbcPc7p06dTUlLCo48+6rJtgPvHWe/BBx9kw4YN/PDDD3h5eXH99ddjOumauM1ljAAZGRmMGzeOCRMmcOuttzq8vEffbfu3HnjggZNOTO3YsSOxsbHk5OQ0aK+trSU/P5/Y2NgTLl9SUsK4ceMICQnhiy++aLDbLzY2ljVr1jTof+jQIft7ztIU4zyZa6+9lmuvvZZDhw4RFBSEYRi89NJLdOzY8bTWW8/dY1y8eDHz5s2joKDAftfYf//73/z444/MmjXLvkfqdLl7nEd69913iYyM5He/+51T1nckd4+zTZs2ACQlJdnb/Pz86NixIwcOHDjl9f6Wu8d5LEOHDqW2tpa0tDS6devmlHW6e5yLFy9m5cqVR11if9CgQUycOJFZs2ad8rqP5O5x1ouKiiIqKoquXbvSo0cP4uPjWbVqFcOHDz/tdTeXMWZmZjJ69GhGjBjBjBkzTm0lDs+6aQHqJzetXbvW3rZgwYKTTm4qKioyhw0bZp577rlmWVnZUe/XTwo+dOiQve2tt94yQ0NDzcrKSucOohFOdZz1HJnE9c4775iBgYGN6utMrhrj119/bVosFrOkpKRBe9euXc1nnnnGKdkd4eqvpc1mMxMTE80HHnjAWZFPiavGWVRUZPr5+TWYFFxdXW3GxMSYb731ltPyN1ZTfm9+8MEHpsViMfPz808n8ilx1Tj3799vbtmyxf5YsGCBCZifffaZmZ6e7uxhnFRTfj33799vAuaSJUtOI7HjXDnGgwcPml26dDGvvvpqs7a29pQznpEFjWma5rhx48z+/fubq1evNlesWGF26dLFvOaaa+zvHzx40OzWrZu5evVq0zTrfiAOHTrU7N27t7lnzx4zKyvL/qj/AtTW1pq9evUyL7zwQnPjxo3m/PnzzejoaPPRRx91yxhN0/FxmqZpZmVlmRs2bDDffvtt+5k+GzZsMPPy8ux9pk+fbq5bt85MSUkxX3vtNTMgIMB89dVXm3Rs9VwxxtzcXDMyMtL8wx/+YG7cuNFMSUkx//KXv5g+Pj7mxo0bm3yMpum6r6VpmubChQtNwNyxY0eTjed4XDXOe+65x2zbtq25YMECc+fOnebNN99sxsTEuOUXvWm6Zpy//PKL+fLLL5sbN2409+7da37wwQdmdHS0ef311zf5+Oq58t9tvdTUVLee5WSarhnnqlWrzOnTp5sbNmww09LSzEWLFpkjRowwO3Xq5JY/kl0xxoMHD5qdO3c2zz//fPPgwYMNfrc66owtaPLy8sxrrrnGDA4ONkNDQ83Jkyc3+Gu8/hukvgqury6P9UhNTbUvl5aWZl500UVmQECAGRUVZT7wwAP207rdwdFxmqZp/v3vfz/mON999117n0mTJpmtWrUyfX19zT59+pjvvfdeE46qIVeNMTk52bzwwgvNVq1amSEhIeawYcPM7777rglH1pCrxmmapnnNNdeYI0aMaKKRnJirxlldXW0+8MADZkxMjBkSEmKOGTPG3Lp1axOOrCFXjHPdunXm0KFDzbCwMNPf39/s0aOH+eyzz7rll189V/67/e063FnQuGKcmzdvNkePHm22atXK9PPzMxMSEszbb7/dPHjwYBOPro4rxvjuu+8e93ero3S3bREREfF4LeosJxERETkzqaARERERj6eCRkRERDyeChoRERHxeCpoRERExOOpoBERERGPp4JGREREPJ4KGhEREfF4KmhEpFm68cYbufzyy0/YZ+nSpRiGQWFhocvz5OXlERMTQ1pamsu39Vvbt2+nXbt2lJWVNfm2RTyFChqRZuDGG2/EMAxuv/32o96bMmUKhmGc9I64R2rKX/Su8uqrrzJz5kz761GjRnHvvfc26DNixAiysrIICwtzeZ5nnnmGyy67jISEBJdv67eSkpIYNmwYL730UpNvW8RTqKARaSbi4+OZM2cOFRUV9rbKykpmz55N+/bt3ZLJNE1qa2vdsu2wsDDCw8NP2MfX15fY2FgMw3BplvLyct555x1uvvlml27nRCZPnswbb7zhtq+HSHOngkakmRgwYADx8fF8/vnn9rbPP/+c9u3b079//wZ9q6qquPvuu4mJicHf35+zzjqL5ORkANLS0hg9ejQAERERDfbunGg5+HXPzvfff8/AgQPx8/NjxYoVR2VNS0vDMAzmzJnDiBEj8Pf3p1evXvz0008N+v30008MGTIEPz8/2rRpwyOPPNLgF/Jnn31G7969CQgIIDIykjFjxtgPqxx5yOnGG2/kp59+4tVXX8UwDAzDIC0t7Zh7oubOnUvPnj3x8/MjISGBadOmNciUkJDAs88+y0033URISAjt27dnxowZJ/zafPfdd/j5+TFs2LCjPlcLFiygf//+BAQEcN5555GTk8P3339Pjx49CA0N5dprr6W8vNy+3KhRo7jrrru49957iYiIoHXr1rz99tuUlZUxefJkQkJC6Ny5M99//32DDBdccAH5+flHfY5FpI4KGpFm5KabbuLdd9+1v/7vf//L5MmTj+r30EMPMXfuXGbNmsX69evp3LkzY8eOJT8/n/j4eObOnQtASkoKWVlZvPrqqydd7kiPPPIIzz33HDt27KBPnz7Hzfvggw/ywAMPsGHDBoYPH86ll15KXl4eABkZGVx88cUMHjyYTZs28cYbb/DOO+/wz3/+E4CsrCyuueYabrrpJnbs2MHSpUv5wx/+wLHul/vqq68yfPhwbr31VrKyssjKyiI+Pv6ofuvWreOqq67i6quvZsuWLfzjH//g8ccfb3DoCmDatGkMGjSIDRs28Oc//5k77riDlJSU445z+fLlDBw48Jjv/eMf/+C1117jl19+IT09nauuuopXXnmF2bNn8+233/LDDz8wffr0BsvMmjWLqKgo1qxZw1133cUdd9zBhAkTGDFiBOvXr+fCCy9k0qRJDQohX19f+vXrx/Lly4+bU+SMdjq3EhcR57jhhhvMyy67zMzJyTH9/PzMtLQ0My0tzfT39zdzc3PNyy67zLzhhhtM0zTN0tJS08fHx/zwww/ty1dXV5txcXHmCy+8YJqmaS5ZssQEzIKCAnsfR5b78ssvT5g3NTXVBMznnnvO3lZTU2O2a9fOfP75503TNM3HHnvM7Natm2mz2ex9Xn/9dTM4ONi0Wq3munXrTMBMS0s74eek3rnnnmvec889Dfr8dpzXXnutecEFFzTo8+CDD5pJSUn21x06dDCvu+46+2ubzWbGxMSYb7zxxnHHe9lll5k33XTTMbe9cOFCe9vUqVNNwNy7d6+97bbbbjPHjh3bYBxnnXWW/XVtba0ZFBRkTpo0yd6WlZVlAubKlSsbbPP3v/+9eeONNx43p8iZTHtoRJqR6Ohoxo8fz8yZM3n33XcZP348UVFRDfrs3buXmpoaRo4caW/z8fFhyJAh7Nix47jrdmS5QYMGNSrv8OHD7R97e3szaNAg+7p27NjB8OHDG8xvGTlyJKWlpRw8eJC+ffty/vnn07t3byZMmMDbb79NQUFBo7Z7PDt27Ggwvvpt7t69G6vVam87cq+TYRjExsaSk5Nz3PVWVFTg7+9/zPeOXFfr1q0JDAykY8eODdp+u+4jl/Hy8iIyMpLevXs3WAY4armAgIAGe21E5FcqaESamZtuuomZM2cya9YsbrrpJrdkCAoKcvk2vLy8+PHHH/n+++9JSkpi+vTpdOvWjdTUVJdv28fHp8FrwzCw2WzH7R8VFXXcYuvIdRmG0ah1H6vPb9cDHLVcfn4+0dHRx80pciZTQSPSzIwbN47q6mpqamoYO3bsUe936tQJX19ffv75Z3tbTU0NycnJJCUlAXXzLYAGeyUas5yjVq1aZf+4traWdevW0aNHDwB69OjBypUrG8yJ+fnnnwkJCaFdu3ZA3S/ukSNH8uSTT7JhwwZ8fX354osvjrktX1/fBuM5lh49ejQYX/02u3btipeX1ymNEaB///5s3779lJd3lq1btx41QVxE6qigEWlmvLy82LFjB9u3bz/mL+GgoCDuuOMOHnzwQebPn8/27du59dZbKS8vt59W3KFDBwzDYN68eeTm5lJaWtqo5Rz1+uuv88UXX7Bz506mTJlCQUGBfa/Sn//8Z9LT07nrrrvYuXMnX331FX//+9+5//77sVgsrF69mmeffZa1a9dy4MABPv/8c3Jzc+0F0W8lJCSwevVq0tLSOHz48DH3qDzwwAMsWrSIp59+ml27djFr1ixee+01/vKXv5zS+OqNHTuWbdu2nfYhsdORlpZGRkYGY8aMcVsGkeZMBY1IMxQaGkpoaOhx33/uuee44oormDRpEgMGDGDPnj0sWLCAiIgIANq2bcuTTz7JI488QuvWrbnzzjsbtZyjnnvuOZ577jn69u3LihUr+Prrr+1zftq2bct3333HmjVr6Nu3L7fffjs333wzf/vb3+xjXLZsGRdffDFdu3blb3/7G9OmTeOiiy465rb+8pe/4OXlRVJSEtHR0Rw4cOCoPgMGDOCTTz5hzpw59OrViyeeeIKnnnrKoYsSHkvv3r3t63aXjz76iAsvvJAOHTq4LYNIc2aY5jHOkRQROYG0tDQSExPZsGED/fr1c3ecJvHtt9/y4IMPsnXrViyWpv1bsLq6mi5dujB79uyjJj2LSB1vdwcQEfEE48ePZ/fu3WRkZBzzGjiudODAAR577DEVMyInoD00IuKwM3EPjYg0bypoRERExONpUrCIiIh4PBU0IiIi4vFU0IiIiIjHU0EjIiIiHk8FjYiIiHg8FTQiIiLi8VTQiIiIiMdTQSMiIiIeTwWNiIiIeLz/B3ubx4BynmmRAAAAAElFTkSuQmCC" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[ 0.00048058 -0.15422773 0.00713343]\n", - "Manually calculated FWHM to 0.016797947350266428 mm\n", - "Scipy calculated FWHM = -0.015900000000000247 mm\n", - "Scipy calculated 1/e2 = -0.02798400000000001 mm\n" - ] - }, - { - "data": { - "text/plain": [ - "
    " - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 68 - }, - { - "metadata": {}, - "cell_type": "code", - "outputs": [], - "execution_count": null, - "source": "fit_knife_edge(y_data, motor='Y')", - "id": "d6dd221d89d3b71a" - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 2 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.6" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From d580da1e8cf6180f83c29c0933baa2570e5276ae Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Thu, 15 Jan 2026 14:00:15 +0100 Subject: [PATCH 006/144] Rename mxlibs3/ to aaredevices/ --- src/aaredaq/daq.py | 2 +- src/aaredaq/devices.py | 20 +++++++++---------- src/aaredaq/tellupdater.py | 2 +- src/aaredaq/workflows.py | 2 +- src/{mxlibs3 => aaredevices}/__init__.py | 0 src/{mxlibs3 => aaredevices}/aerotech.py | 0 src/{mxlibs3 => aaredevices}/area_detector.py | 0 src/{mxlibs3 => aaredevices}/enum_pv.py | 0 .../experimental_hutch_shutter.py | 0 .../filter_transmission.py | 0 src/{mxlibs3 => aaredevices}/fluorimeter.py | 0 src/{mxlibs3 => aaredevices}/jfjoch.py | 0 src/{mxlibs3 => aaredevices}/mx_lib.py | 0 src/{mxlibs3 => aaredevices}/my_motor.py | 0 src/{mxlibs3 => aaredevices}/non_standard.py | 0 src/{mxlibs3 => aaredevices}/pshell_client.py | 0 src/{mxlibs3 => aaredevices}/smargon.py | 0 src/{mxlibs3 => aaredevices}/tell_client.py | 2 +- .../workflow_tools.py | 0 19 files changed, 14 insertions(+), 14 deletions(-) rename src/{mxlibs3 => aaredevices}/__init__.py (100%) rename src/{mxlibs3 => aaredevices}/aerotech.py (100%) rename src/{mxlibs3 => aaredevices}/area_detector.py (100%) rename src/{mxlibs3 => aaredevices}/enum_pv.py (100%) rename src/{mxlibs3 => aaredevices}/experimental_hutch_shutter.py (100%) rename src/{mxlibs3 => aaredevices}/filter_transmission.py (100%) rename src/{mxlibs3 => aaredevices}/fluorimeter.py (100%) rename src/{mxlibs3 => aaredevices}/jfjoch.py (100%) rename src/{mxlibs3 => aaredevices}/mx_lib.py (100%) rename src/{mxlibs3 => aaredevices}/my_motor.py (100%) rename src/{mxlibs3 => aaredevices}/non_standard.py (100%) rename src/{mxlibs3 => aaredevices}/pshell_client.py (100%) rename src/{mxlibs3 => aaredevices}/smargon.py (100%) rename src/{mxlibs3 => aaredevices}/tell_client.py (99%) rename src/{mxlibs3 => aaredevices}/workflow_tools.py (100%) diff --git a/src/aaredaq/daq.py b/src/aaredaq/daq.py index f9d95831..3e3e3933 100644 --- a/src/aaredaq/daq.py +++ b/src/aaredaq/daq.py @@ -33,7 +33,7 @@ from aaredaqlib.models import ( from aaredaqlib.raster_grid import RasterGridRequest, CompletedRasterGrid, CompletedRasterGridElem from aaredaqlib.rotation_scan import RotationScanRequest, CompletedRotationScan from aaredaqlib.sample_geometry import SampleGeometryModel -from mxlibs3.jfjoch import JFJochWrapper +from aaredevices.jfjoch import JFJochWrapper logger = setup_logger("aareDAQ") diff --git a/src/aaredaq/devices.py b/src/aaredaq/devices.py index cdc1afc3..6e6b8fee 100644 --- a/src/aaredaq/devices.py +++ b/src/aaredaq/devices.py @@ -5,16 +5,16 @@ from epics import PV from aaredaqlib.beamline import MXBeamline from aaredaqlib.coordinate import Coordinate from aaredaqlib.models import SampleCameraSettings, StagePositionEnum -from mxlibs3 import aerotech, smargon -from mxlibs3.area_detector import epicsAD -from mxlibs3.enum_pv import EnumPv -from mxlibs3.filter_transmission import FilterTransmission -from mxlibs3.fluorimeter import Fluorimeter -from mxlibs3.experimental_hutch_shutter import ExperimentalHutchShutter -from mxlibs3.my_motor import MyMotor -from mxlibs3.non_standard import NonStandard -from mxlibs3.tell_client import TellClient -from mxlibs3.workflow_tools import wait_position +from aaredevices import aerotech, smargon +from aaredevices.area_detector import epicsAD +from aaredevices.enum_pv import EnumPv +from aaredevices.filter_transmission import FilterTransmission +from aaredevices.fluorimeter import Fluorimeter +from aaredevices.experimental_hutch_shutter import ExperimentalHutchShutter +from aaredevices.my_motor import MyMotor +from aaredevices.non_standard import NonStandard +from aaredevices.tell_client import TellClient +from aaredevices.workflow_tools import wait_position class BeamlineDevices: def __init__(self, beamline: MXBeamline): diff --git a/src/aaredaq/tellupdater.py b/src/aaredaq/tellupdater.py index d901320d..ea19edd0 100644 --- a/src/aaredaq/tellupdater.py +++ b/src/aaredaq/tellupdater.py @@ -6,7 +6,7 @@ import requests import threading import time from aareDBclient.models import PuckWithTellPosition -from mxlibs3.tell_client import TellClient +from aaredevices.tell_client import TellClient from aaredb import AareWrapper # Make sure the import path fits your project from aaredaqlib.beamline import MXBeamline diff --git a/src/aaredaq/workflows.py b/src/aaredaq/workflows.py index a75028ea..2e58e076 100644 --- a/src/aaredaq/workflows.py +++ b/src/aaredaq/workflows.py @@ -8,7 +8,7 @@ from aaredaq.config import BeamlineConfig from aaredaqlib.coordinate import Coordinate from aaredaqlib.logger_config import setup_logger from aaredaqlib.models import StagePositionEnum, SampleCameraSettings, ZoomModeEnum -from mxlibs3.mx_lib import pv_wait +from aaredevices.mx_lib import pv_wait logger = setup_logger("aareDAQ") diff --git a/src/mxlibs3/__init__.py b/src/aaredevices/__init__.py similarity index 100% rename from src/mxlibs3/__init__.py rename to src/aaredevices/__init__.py diff --git a/src/mxlibs3/aerotech.py b/src/aaredevices/aerotech.py similarity index 100% rename from src/mxlibs3/aerotech.py rename to src/aaredevices/aerotech.py diff --git a/src/mxlibs3/area_detector.py b/src/aaredevices/area_detector.py similarity index 100% rename from src/mxlibs3/area_detector.py rename to src/aaredevices/area_detector.py diff --git a/src/mxlibs3/enum_pv.py b/src/aaredevices/enum_pv.py similarity index 100% rename from src/mxlibs3/enum_pv.py rename to src/aaredevices/enum_pv.py diff --git a/src/mxlibs3/experimental_hutch_shutter.py b/src/aaredevices/experimental_hutch_shutter.py similarity index 100% rename from src/mxlibs3/experimental_hutch_shutter.py rename to src/aaredevices/experimental_hutch_shutter.py diff --git a/src/mxlibs3/filter_transmission.py b/src/aaredevices/filter_transmission.py similarity index 100% rename from src/mxlibs3/filter_transmission.py rename to src/aaredevices/filter_transmission.py diff --git a/src/mxlibs3/fluorimeter.py b/src/aaredevices/fluorimeter.py similarity index 100% rename from src/mxlibs3/fluorimeter.py rename to src/aaredevices/fluorimeter.py diff --git a/src/mxlibs3/jfjoch.py b/src/aaredevices/jfjoch.py similarity index 100% rename from src/mxlibs3/jfjoch.py rename to src/aaredevices/jfjoch.py diff --git a/src/mxlibs3/mx_lib.py b/src/aaredevices/mx_lib.py similarity index 100% rename from src/mxlibs3/mx_lib.py rename to src/aaredevices/mx_lib.py diff --git a/src/mxlibs3/my_motor.py b/src/aaredevices/my_motor.py similarity index 100% rename from src/mxlibs3/my_motor.py rename to src/aaredevices/my_motor.py diff --git a/src/mxlibs3/non_standard.py b/src/aaredevices/non_standard.py similarity index 100% rename from src/mxlibs3/non_standard.py rename to src/aaredevices/non_standard.py diff --git a/src/mxlibs3/pshell_client.py b/src/aaredevices/pshell_client.py similarity index 100% rename from src/mxlibs3/pshell_client.py rename to src/aaredevices/pshell_client.py diff --git a/src/mxlibs3/smargon.py b/src/aaredevices/smargon.py similarity index 100% rename from src/mxlibs3/smargon.py rename to src/aaredevices/smargon.py diff --git a/src/mxlibs3/tell_client.py b/src/aaredevices/tell_client.py similarity index 99% rename from src/mxlibs3/tell_client.py rename to src/aaredevices/tell_client.py index 391a876d..73d29074 100755 --- a/src/mxlibs3/tell_client.py +++ b/src/aaredevices/tell_client.py @@ -20,7 +20,7 @@ from aareDBclient import ( PuckWithTellPosition, ) from aaredaqlib.beamline import MXBeamline # noqa: F401 -from mxlibs3.pshell_client import PShellClient +from aaredevices.pshell_client import PShellClient logger = setup_logger("aareDAQ") diff --git a/src/mxlibs3/workflow_tools.py b/src/aaredevices/workflow_tools.py similarity index 100% rename from src/mxlibs3/workflow_tools.py rename to src/aaredevices/workflow_tools.py From b506542b012f496f3e7e401c5c7db82d56212559 Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Thu, 15 Jan 2026 14:04:40 +0100 Subject: [PATCH 007/144] Change directory/package structure --- src/{aaredaq => aare}/__init__.py | 0 src/{aaredaqlib => aare/common}/__init__.py | 0 src/{aaredaqlib => aare/common}/beamline.py | 0 src/{aaredaqlib => aare/common}/coordinate.py | 0 .../common}/diffraction_geometry.py | 0 .../common}/face_detection.py | 5 +- src/{aaredaqlib => aare/common}/find_xtal.py | 7 ++- .../common}/logger_config.py | 0 src/{aaredaqlib => aare/common}/models.py | 10 ++-- .../common}/raster_grid.py | 4 +- .../common}/rotation_scan.py | 2 +- .../common}/sample_geometry.py | 2 +- src/{aaredevices => aare/daq}/__init__.py | 0 src/{aaredaq => aare/daq}/aaredb.py | 19 +++---- src/{aaredaq => aare/daq}/auth.py | 2 +- src/{aaredaq => aare/daq}/autofocus.py | 0 src/{aaredaq => aare/daq}/beamcenterfit.py | 0 src/{aaredaq => aare/daq}/config.py | 8 +-- src/{aaredaq => aare/daq}/daq.py | 36 ++++++------- src/{aaredaq => aare/daq}/devices.py | 26 +++++----- src/{aaredaq => aare/daq}/mlbox.py | 6 +-- src/{aaredaq => aare/daq}/server.py | 24 ++++----- .../daq}/spreadsheetupdater.py | 7 ++- src/{aaredaq => aare/daq}/tellupdater.py | 4 +- src/{aaredaq => aare/daq}/workflows.py | 14 ++--- src/{aaregui => aare/devices}/__init__.py | 0 src/{aaredevices => aare/devices}/aerotech.py | 2 +- .../devices}/area_detector.py | 0 src/{aaredevices => aare/devices}/enum_pv.py | 0 .../devices}/experimental_hutch_shutter.py | 2 +- .../devices}/filter_transmission.py | 2 +- .../devices}/fluorimeter.py | 6 +-- src/{aaredevices => aare/devices}/jfjoch.py | 9 ++-- src/{aaredevices => aare/devices}/mx_lib.py | 0 src/{aaredevices => aare/devices}/my_motor.py | 0 .../devices}/non_standard.py | 0 .../devices}/pshell_client.py | 0 src/{aaredevices => aare/devices}/smargon.py | 4 +- .../devices}/tell_client.py | 9 ++-- .../devices}/workflow_tools.py | 0 src/{aaregui/models => aare/gui}/__init__.py | 0 src/{aaregui => aare/gui}/auth.py | 4 +- src/{aaregui => aare/gui}/gui.py | 8 +-- src/{aaregui => aare/gui}/main_window.py | 51 +++++++++---------- .../panels => aare/gui/models}/__init__.py | 0 src/{aaregui => aare/gui}/models/bookmark.py | 2 +- .../gui}/models/sample_queue_model.py | 4 +- .../gui}/models/user_sample_model.py | 2 +- src/{aaregui => aare/gui}/panels/LogPanel.py | 4 +- .../gui/panels}/__init__.py | 0 .../gui}/panels/abr_tweak_panel.py | 10 ++-- .../gui}/panels/beam_center_panel.py | 6 +-- .../gui}/panels/beam_mark_panel.py | 4 +- .../gui}/panels/beam_size_panel.py | 6 +-- .../gui}/panels/beamline_controls.py | 21 ++++---- .../gui}/panels/beamline_state_panel.py | 2 +- .../gui}/panels/data_collection_settings.py | 22 ++++---- .../gui}/panels/face_detection_panel.py | 11 ++-- .../gui}/panels/file_path_panel.py | 7 ++- .../panels/fluorescence_data_collection.py | 4 +- .../gui}/panels/fluorescence_panel.py | 6 +-- .../gui}/panels/illumination_panel.py | 4 +- .../gui}/panels/loop_centering_panel.py | 2 +- .../gui}/panels/manual_sample_panel.py | 8 +-- .../gui}/panels/omega_panel.py | 8 +-- .../gui}/panels/raster_data_collection.py | 17 +++---- .../gui}/panels/reference_tools_panel.py | 10 ++-- .../gui}/panels/rotation_data_collection.py | 12 ++--- .../gui}/panels/samcam_panel.py | 6 +-- .../gui}/panels/sample_queue_panel.py | 12 ++--- .../gui}/panels/scan_settings_panel.py | 12 ++--- .../gui}/panels/smargon_panel.py | 12 ++--- .../gui}/panels/smart_rotation_panel.py | 12 ++--- .../gui}/panels/status_panel.py | 8 +-- .../gui}/panels/tell_sample_panel.py | 8 +-- .../gui}/panels/zoom_panel.py | 6 +-- .../gui/scan_logic}/__init__.py | 0 .../gui}/scan_logic/raster_grid_manager.py | 11 ++-- .../gui}/scan_logic/rotation_scan_manager.py | 2 +- .../gui}/scan_logic/sample_mount_logic.py | 2 +- .../widgets => aare/gui/threads}/__init__.py | 0 .../gui}/threads/axis_video_thread.py | 0 .../gui}/threads/camera_thread.py | 0 .../gui}/threads/daq_worker.py | 10 ++-- .../gui}/threads/jfjoch_viewer.py | 0 .../gui}/threads/sse_client.py | 2 - src/aare/gui/widgets/__init__.py | 0 .../gui}/widgets/button_with_payload.py | 0 .../gui}/widgets/camera_image.py | 12 ++--- .../gui}/widgets/clickable_label.py | 0 src/{aaregui => aare/gui}/widgets/login.py | 2 +- .../gui}/widgets/message_box.py | 2 +- .../gui}/widgets/no_wheel_scroll_area.py | 0 .../gui}/widgets/number_line_edit.py | 0 .../gui}/widgets/pgroup_dialog.py | 0 .../gui}/widgets/raster_grid_table.py | 3 +- .../gui}/widgets/status_bar.py | 12 ++--- .../gui}/widgets/status_label.py | 0 .../gui}/widgets/title_label.py | 0 .../gui}/widgets/value_label.py | 0 .../gui}/widgets/video_image.py | 0 101 files changed, 277 insertions(+), 302 deletions(-) rename src/{aaredaq => aare}/__init__.py (100%) rename src/{aaredaqlib => aare/common}/__init__.py (100%) rename src/{aaredaqlib => aare/common}/beamline.py (100%) rename src/{aaredaqlib => aare/common}/coordinate.py (100%) rename src/{aaredaqlib => aare/common}/diffraction_geometry.py (100%) rename src/{aaredaqlib => aare/common}/face_detection.py (97%) rename src/{aaredaqlib => aare/common}/find_xtal.py (98%) rename src/{aaredaqlib => aare/common}/logger_config.py (100%) rename src/{aaredaqlib => aare/common}/models.py (99%) rename src/{aaredaqlib => aare/common}/raster_grid.py (95%) rename src/{aaredaqlib => aare/common}/rotation_scan.py (91%) rename src/{aaredaqlib => aare/common}/sample_geometry.py (97%) rename src/{aaredevices => aare/daq}/__init__.py (100%) rename src/{aaredaq => aare/daq}/aaredb.py (97%) rename src/{aaredaq => aare/daq}/auth.py (98%) rename src/{aaredaq => aare/daq}/autofocus.py (100%) rename src/{aaredaq => aare/daq}/beamcenterfit.py (100%) rename src/{aaredaq => aare/daq}/config.py (99%) rename src/{aaredaq => aare/daq}/daq.py (98%) rename src/{aaredaq => aare/daq}/devices.py (94%) rename src/{aaredaq => aare/daq}/mlbox.py (98%) rename src/{aaredaq => aare/daq}/server.py (96%) rename src/{aaredaq => aare/daq}/spreadsheetupdater.py (95%) rename src/{aaredaq => aare/daq}/tellupdater.py (97%) rename src/{aaredaq => aare/daq}/workflows.py (96%) rename src/{aaregui => aare/devices}/__init__.py (100%) rename src/{aaredevices => aare/devices}/aerotech.py (99%) rename src/{aaredevices => aare/devices}/area_detector.py (100%) rename src/{aaredevices => aare/devices}/enum_pv.py (100%) rename src/{aaredevices => aare/devices}/experimental_hutch_shutter.py (95%) rename src/{aaredevices => aare/devices}/filter_transmission.py (97%) rename src/{aaredevices => aare/devices}/fluorimeter.py (97%) rename src/{aaredevices => aare/devices}/jfjoch.py (94%) rename src/{aaredevices => aare/devices}/mx_lib.py (100%) rename src/{aaredevices => aare/devices}/my_motor.py (100%) rename src/{aaredevices => aare/devices}/non_standard.py (100%) rename src/{aaredevices => aare/devices}/pshell_client.py (100%) rename src/{aaredevices => aare/devices}/smargon.py (97%) rename src/{aaredevices => aare/devices}/tell_client.py (99%) rename src/{aaredevices => aare/devices}/workflow_tools.py (100%) rename src/{aaregui/models => aare/gui}/__init__.py (100%) rename src/{aaregui => aare/gui}/auth.py (91%) rename src/{aaregui => aare/gui}/gui.py (96%) rename src/{aaregui => aare/gui}/main_window.py (93%) rename src/{aaregui/panels => aare/gui/models}/__init__.py (100%) rename src/{aaregui => aare/gui}/models/bookmark.py (92%) rename src/{aaregui => aare/gui}/models/sample_queue_model.py (96%) rename src/{aaregui => aare/gui}/models/user_sample_model.py (99%) rename src/{aaregui => aare/gui}/panels/LogPanel.py (85%) rename src/{aaregui/scan_logic => aare/gui/panels}/__init__.py (100%) rename src/{aaregui => aare/gui}/panels/abr_tweak_panel.py (95%) rename src/{aaregui => aare/gui}/panels/beam_center_panel.py (88%) rename src/{aaregui => aare/gui}/panels/beam_mark_panel.py (91%) rename src/{aaregui => aare/gui}/panels/beam_size_panel.py (88%) rename src/{aaregui => aare/gui}/panels/beamline_controls.py (70%) rename src/{aaregui => aare/gui}/panels/beamline_state_panel.py (93%) rename src/{aaregui => aare/gui}/panels/data_collection_settings.py (80%) rename src/{aaregui => aare/gui}/panels/face_detection_panel.py (93%) rename src/{aaregui => aare/gui}/panels/file_path_panel.py (98%) rename src/{aaregui => aare/gui}/panels/fluorescence_data_collection.py (93%) rename src/{aaregui => aare/gui}/panels/fluorescence_panel.py (98%) rename src/{aaregui => aare/gui}/panels/illumination_panel.py (91%) rename src/{aaregui => aare/gui}/panels/loop_centering_panel.py (93%) rename src/{aaregui => aare/gui}/panels/manual_sample_panel.py (94%) rename src/{aaregui => aare/gui}/panels/omega_panel.py (91%) rename src/{aaregui => aare/gui}/panels/raster_data_collection.py (94%) rename src/{aaregui => aare/gui}/panels/reference_tools_panel.py (97%) rename src/{aaregui => aare/gui}/panels/rotation_data_collection.py (96%) rename src/{aaregui => aare/gui}/panels/samcam_panel.py (92%) rename src/{aaregui => aare/gui}/panels/sample_queue_panel.py (96%) rename src/{aaregui => aare/gui}/panels/scan_settings_panel.py (95%) rename src/{aaregui => aare/gui}/panels/smargon_panel.py (91%) rename src/{aaregui => aare/gui}/panels/smart_rotation_panel.py (97%) rename src/{aaregui => aare/gui}/panels/status_panel.py (93%) rename src/{aaregui => aare/gui}/panels/tell_sample_panel.py (96%) rename src/{aaregui => aare/gui}/panels/zoom_panel.py (90%) rename src/{aaregui/threads => aare/gui/scan_logic}/__init__.py (100%) rename src/{aaregui => aare/gui}/scan_logic/raster_grid_manager.py (98%) rename src/{aaregui => aare/gui}/scan_logic/rotation_scan_manager.py (86%) rename src/{aaregui => aare/gui}/scan_logic/sample_mount_logic.py (87%) rename src/{aaregui/widgets => aare/gui/threads}/__init__.py (100%) rename src/{aaregui => aare/gui}/threads/axis_video_thread.py (100%) rename src/{aaregui => aare/gui}/threads/camera_thread.py (100%) rename src/{aaregui => aare/gui}/threads/daq_worker.py (98%) rename src/{aaregui => aare/gui}/threads/jfjoch_viewer.py (100%) rename src/{aaregui => aare/gui}/threads/sse_client.py (99%) create mode 100644 src/aare/gui/widgets/__init__.py rename src/{aaregui => aare/gui}/widgets/button_with_payload.py (100%) rename src/{aaregui => aare/gui}/widgets/camera_image.py (98%) rename src/{aaregui => aare/gui}/widgets/clickable_label.py (100%) rename src/{aaregui => aare/gui}/widgets/login.py (98%) rename src/{aaregui => aare/gui}/widgets/message_box.py (98%) rename src/{aaregui => aare/gui}/widgets/no_wheel_scroll_area.py (100%) rename src/{aaregui => aare/gui}/widgets/number_line_edit.py (100%) rename src/{aaregui => aare/gui}/widgets/pgroup_dialog.py (100%) rename src/{aaregui => aare/gui}/widgets/raster_grid_table.py (97%) rename src/{aaregui => aare/gui}/widgets/status_bar.py (97%) rename src/{aaregui => aare/gui}/widgets/status_label.py (100%) rename src/{aaregui => aare/gui}/widgets/title_label.py (100%) rename src/{aaregui => aare/gui}/widgets/value_label.py (100%) rename src/{aaregui => aare/gui}/widgets/video_image.py (100%) diff --git a/src/aaredaq/__init__.py b/src/aare/__init__.py similarity index 100% rename from src/aaredaq/__init__.py rename to src/aare/__init__.py diff --git a/src/aaredaqlib/__init__.py b/src/aare/common/__init__.py similarity index 100% rename from src/aaredaqlib/__init__.py rename to src/aare/common/__init__.py diff --git a/src/aaredaqlib/beamline.py b/src/aare/common/beamline.py similarity index 100% rename from src/aaredaqlib/beamline.py rename to src/aare/common/beamline.py diff --git a/src/aaredaqlib/coordinate.py b/src/aare/common/coordinate.py similarity index 100% rename from src/aaredaqlib/coordinate.py rename to src/aare/common/coordinate.py diff --git a/src/aaredaqlib/diffraction_geometry.py b/src/aare/common/diffraction_geometry.py similarity index 100% rename from src/aaredaqlib/diffraction_geometry.py rename to src/aare/common/diffraction_geometry.py diff --git a/src/aaredaqlib/face_detection.py b/src/aare/common/face_detection.py similarity index 97% rename from src/aaredaqlib/face_detection.py rename to src/aare/common/face_detection.py index af36e59d..363977bf 100644 --- a/src/aaredaqlib/face_detection.py +++ b/src/aare/common/face_detection.py @@ -1,12 +1,11 @@ import json import time -from typing import Tuple, Dict, List, Iterable, Optional +from typing import Tuple, Dict, List, Optional import numpy as np from scipy.optimize import curve_fit import statistics import math -from aaredaqlib.logger_config import setup_logger -from aaredaqlib.models import MLBoxModel, MLOutputModel +from aare.common.logger_config import setup_logger logger = setup_logger("aareDAQ") diff --git a/src/aaredaqlib/find_xtal.py b/src/aare/common/find_xtal.py similarity index 98% rename from src/aaredaqlib/find_xtal.py rename to src/aare/common/find_xtal.py index a3328ac1..23468175 100644 --- a/src/aaredaqlib/find_xtal.py +++ b/src/aare/common/find_xtal.py @@ -3,10 +3,9 @@ from typing import List, Optional, Callable import numpy as np from scipy import ndimage -from aaredaqlib.coordinate import Coordinate -from aaredaqlib.models import CrystalSize -from aaredaqlib.raster_grid import RasterGridRequest, CenterOfMassModel -from aaredaqlib.logger_config import setup_logger +from aare.common.models import CrystalSize +from aare.common.raster_grid import RasterGridRequest, CenterOfMassModel +from aare.common.logger_config import setup_logger logger = setup_logger('aareDAQ') diff --git a/src/aaredaqlib/logger_config.py b/src/aare/common/logger_config.py similarity index 100% rename from src/aaredaqlib/logger_config.py rename to src/aare/common/logger_config.py diff --git a/src/aaredaqlib/models.py b/src/aare/common/models.py similarity index 99% rename from src/aaredaqlib/models.py rename to src/aare/common/models.py index aa10ea66..67a5273e 100644 --- a/src/aaredaqlib/models.py +++ b/src/aare/common/models.py @@ -3,16 +3,14 @@ import re from enum import Enum from typing import Annotated, Literal, Tuple, List, Optional -import numpy as np - from pydantic import BaseModel, Field, field_validator, AfterValidator -from aaredaqlib.coordinate import Coordinate, positive_coords -from aaredaqlib.diffraction_geometry import DiffractionGeometry -from aaredaqlib.sample_geometry import SampleGeometryModel +from aare.common.coordinate import Coordinate, positive_coords +from aare.common.diffraction_geometry import DiffractionGeometry +from aare.common.sample_geometry import SampleGeometryModel from jfjoch_client.models.scan_result import ScanResult -from aaredaqlib.beamline import MXBeamline +from aare.common.beamline import MXBeamline class StagePositionEnum(Enum): MEASURE = 0 diff --git a/src/aaredaqlib/raster_grid.py b/src/aare/common/raster_grid.py similarity index 95% rename from src/aaredaqlib/raster_grid.py rename to src/aare/common/raster_grid.py index 05d32d80..7c4327ff 100644 --- a/src/aaredaqlib/raster_grid.py +++ b/src/aare/common/raster_grid.py @@ -5,8 +5,8 @@ import numpy as np from jfjoch_client.models.scan_result import ScanResult from pydantic import Field, AfterValidator, BaseModel -from aaredaqlib.coordinate import Coordinate, positive_coords, SmargonCoordinate -from aaredaqlib.sample_geometry import SampleGeometryModel +from aare.common.coordinate import Coordinate, positive_coords, SmargonCoordinate +from aare.common.sample_geometry import SampleGeometryModel class RasterGridRequest(BaseModel): diff --git a/src/aaredaqlib/rotation_scan.py b/src/aare/common/rotation_scan.py similarity index 91% rename from src/aaredaqlib/rotation_scan.py rename to src/aare/common/rotation_scan.py index 13885d12..471e7a9a 100644 --- a/src/aaredaqlib/rotation_scan.py +++ b/src/aare/common/rotation_scan.py @@ -1,7 +1,7 @@ from jfjoch_client.models.scan_result import ScanResult from pydantic import BaseModel -from aaredaqlib.coordinate import SmargonCoordinate +from aare.common.coordinate import SmargonCoordinate class RotationScanRequest(BaseModel): diff --git a/src/aaredaqlib/sample_geometry.py b/src/aare/common/sample_geometry.py similarity index 97% rename from src/aaredaqlib/sample_geometry.py rename to src/aare/common/sample_geometry.py index 2e27d56b..c9a4a473 100644 --- a/src/aaredaqlib/sample_geometry.py +++ b/src/aare/common/sample_geometry.py @@ -3,7 +3,7 @@ from typing import Annotated import numpy as np from pydantic import BaseModel, Field, AfterValidator -from aaredaqlib.coordinate import Coordinate, SmargonCoordinate, positive_coords +from aare.common.coordinate import Coordinate, SmargonCoordinate, positive_coords class SampleGeometryModel(BaseModel): diff --git a/src/aaredevices/__init__.py b/src/aare/daq/__init__.py similarity index 100% rename from src/aaredevices/__init__.py rename to src/aare/daq/__init__.py diff --git a/src/aaredaq/aaredb.py b/src/aare/daq/aaredb.py similarity index 97% rename from src/aaredaq/aaredb.py rename to src/aare/daq/aaredb.py index d432e180..295c8f4e 100644 --- a/src/aaredaq/aaredb.py +++ b/src/aare/daq/aaredb.py @@ -21,21 +21,18 @@ from aareDBclient import ( BeamlineParametersInput, ExperimentParametersCreate) -from aaredaqlib.coordinate import Coordinate -from aaredaqlib.diffraction_geometry import DiffractionGeometry -from aaredaqlib.logger_config import setup_logger -from aaredaqlib.models import ( +from aare.common.coordinate import Coordinate +from aare.common.logger_config import setup_logger +from aare.common.models import ( SampleShortInfo, PuckLoadedInfo, - DewarAddress, - SampleShortInfoList, - DAQStatusModel, SessionStatus, ScanResultPayloadModel, + DAQStatusModel, ScanResultPayloadModel, ) -from aaredaqlib.beamline import MXBeamline -from aaredaqlib.raster_grid import RasterGridRequest, RasterPayloadModel, CenterOfMassModel -from aaredaqlib.rotation_scan import RotationScanRequest -from aaredaqlib.sample_geometry import SampleGeometryModel +from aare.common.beamline import MXBeamline +from aare.common.raster_grid import RasterGridRequest, RasterPayloadModel, CenterOfMassModel +from aare.common.rotation_scan import RotationScanRequest +from aare.common.sample_geometry import SampleGeometryModel from jfjoch_client.models import ScanResult diff --git a/src/aaredaq/auth.py b/src/aare/daq/auth.py similarity index 98% rename from src/aaredaq/auth.py rename to src/aare/daq/auth.py index e293f9ae..fa10e467 100644 --- a/src/aaredaq/auth.py +++ b/src/aare/daq/auth.py @@ -9,7 +9,7 @@ from fastapi import HTTPException, status from fastapi.security import OAuth2PasswordRequestForm from pydantic import BaseModel -from aaredaq.config import BeamlineConfig +from aare.aaredaq.config import BeamlineConfig if os.environ.get("JWT_AAREDAQ_KEY") is None: raise Exception("JWT_AAREDAQ_KEY environment variable not set, cannot guarantee safe authentication.") diff --git a/src/aaredaq/autofocus.py b/src/aare/daq/autofocus.py similarity index 100% rename from src/aaredaq/autofocus.py rename to src/aare/daq/autofocus.py diff --git a/src/aaredaq/beamcenterfit.py b/src/aare/daq/beamcenterfit.py similarity index 100% rename from src/aaredaq/beamcenterfit.py rename to src/aare/daq/beamcenterfit.py diff --git a/src/aaredaq/config.py b/src/aare/daq/config.py similarity index 99% rename from src/aaredaq/config.py rename to src/aare/daq/config.py index 8ca1743e..9bae85fd 100644 --- a/src/aaredaq/config.py +++ b/src/aare/daq/config.py @@ -6,8 +6,8 @@ from typing import Tuple, List import numpy as np import redis import redis_lock -from aaredaqlib.coordinate import Coordinate -from aaredaqlib.models import ( +from aare.common.coordinate import Coordinate +from aare.common.models import ( BeamlineSettingsModel, BeamMarkCoeffModel, ZoomModeEnum, @@ -18,8 +18,8 @@ from aaredaqlib.models import ( FluorescenceSpectrumOutputModel, CrystalSize, SimpleStrategyInputModel, SimpleScanParameters ) -from aaredaqlib.beamline import MXBeamline -from aaredaqlib.logger_config import setup_logger +from aare.common.beamline import MXBeamline +from aare.common.logger_config import setup_logger ABR_POS_ALIGN_DEF = Coordinate(x=-18, y=-0.266, z=0) ABR_POS_MOUNT = Coordinate(x=-18, y=0, z=0) diff --git a/src/aaredaq/daq.py b/src/aare/daq/daq.py similarity index 98% rename from src/aaredaq/daq.py rename to src/aare/daq/daq.py index 3e3e3933..b7dd572b 100644 --- a/src/aaredaq/daq.py +++ b/src/aare/daq/daq.py @@ -9,31 +9,31 @@ import cv2 import numpy as np import redis -import aaredaqlib.face_detection as fd -from aaredaq import workflows -from aaredaq.aaredb import AareWrapper -from aaredaq.autofocus import calculate_focus_measure -from aaredaq.config import BeamlineConfig, ABR_POS_MOUNT -from aaredaq.config import BeamlineStateEnum -from aaredaq.devices import BeamlineDevices -from aaredaq.mlbox import MlBox -from aaredaqlib.beamline import MXBeamline -from aaredaqlib.coordinate import Coordinate, SmargonCoordinate -from aaredaqlib.diffraction_geometry import DiffractionGeometry -from aaredaqlib.find_xtal import raster_centre_of_mass, create_quality_filtered_array, identify_crystal_raster, \ +import aare.common.face_detection as fd +from aare.aaredaq import workflows +from aare.aaredaq.aaredb import AareWrapper +from aare.aaredaq.autofocus import calculate_focus_measure +from aare.aaredaq.config import BeamlineConfig, ABR_POS_MOUNT +from aare.aaredaq.config import BeamlineStateEnum +from aare.aaredaq.devices import BeamlineDevices +from aare.aaredaq.mlbox import MlBox +from aare.common.beamline import MXBeamline +from aare.common.coordinate import Coordinate, SmargonCoordinate +from aare.common.diffraction_geometry import DiffractionGeometry +from aare.common.find_xtal import raster_centre_of_mass, create_quality_filtered_array, identify_crystal_raster, \ get_result_list_from_com, get_best_b_factor, get_best_res, get_xtal_size -from aaredaqlib.logger_config import setup_logger -from aaredaqlib.models import ( +from aare.common.logger_config import setup_logger +from aare.common.models import ( SampleShortInfo, PuckLoadedInfo, SampleShortInfoList, DAQStatusModel, BeamlineStatus, SessionStatus, SampleCameraSettings, AutofocusSettings, ZoomModeEnum, CrystalSize, SimpleScanParameters, MLBoxModel, FluorescenceSpectrumParameterModel, FluorescenceSpectrumOutputModel) -from aaredaqlib.raster_grid import RasterGridRequest, CompletedRasterGrid, CompletedRasterGridElem -from aaredaqlib.rotation_scan import RotationScanRequest, CompletedRotationScan -from aaredaqlib.sample_geometry import SampleGeometryModel -from aaredevices.jfjoch import JFJochWrapper +from aare.common.raster_grid import RasterGridRequest, CompletedRasterGrid, CompletedRasterGridElem +from aare.common.rotation_scan import RotationScanRequest, CompletedRotationScan +from aare.common.sample_geometry import SampleGeometryModel +from aare.devices.jfjoch import JFJochWrapper logger = setup_logger("aareDAQ") diff --git a/src/aaredaq/devices.py b/src/aare/daq/devices.py similarity index 94% rename from src/aaredaq/devices.py rename to src/aare/daq/devices.py index 6e6b8fee..31e7420b 100644 --- a/src/aaredaq/devices.py +++ b/src/aare/daq/devices.py @@ -2,19 +2,19 @@ import time from epics import PV -from aaredaqlib.beamline import MXBeamline -from aaredaqlib.coordinate import Coordinate -from aaredaqlib.models import SampleCameraSettings, StagePositionEnum -from aaredevices import aerotech, smargon -from aaredevices.area_detector import epicsAD -from aaredevices.enum_pv import EnumPv -from aaredevices.filter_transmission import FilterTransmission -from aaredevices.fluorimeter import Fluorimeter -from aaredevices.experimental_hutch_shutter import ExperimentalHutchShutter -from aaredevices.my_motor import MyMotor -from aaredevices.non_standard import NonStandard -from aaredevices.tell_client import TellClient -from aaredevices.workflow_tools import wait_position +from aare.common.beamline import MXBeamline +from aare.common.coordinate import Coordinate +from aare.common.models import SampleCameraSettings, StagePositionEnum +from aare.devices import smargon, aerotech +from aare.devices.area_detector import epicsAD +from aare.devices.enum_pv import EnumPv +from aare.devices.filter_transmission import FilterTransmission +from aare.devices.fluorimeter import Fluorimeter +from aare.devices.experimental_hutch_shutter import ExperimentalHutchShutter +from aare.devices.my_motor import MyMotor +from aare.devices.non_standard import NonStandard +from aare.devices.tell_client import TellClient +from aare.devices.workflow_tools import wait_position class BeamlineDevices: def __init__(self, beamline: MXBeamline): diff --git a/src/aaredaq/mlbox.py b/src/aare/daq/mlbox.py similarity index 98% rename from src/aaredaq/mlbox.py rename to src/aare/daq/mlbox.py index 997cfe1f..e7c230f3 100644 --- a/src/aaredaq/mlbox.py +++ b/src/aare/daq/mlbox.py @@ -1,11 +1,11 @@ -from typing import Tuple, Optional, Iterable +from typing import Optional, Iterable import cv2 import requests -from aaredaqlib.models import MLBoxModel, MLOutputModel, MLBoxType, BoundingBoxModel -from aaredaqlib.logger_config import setup_logger +from aare.common.models import MLBoxModel, MLOutputModel, MLBoxType, BoundingBoxModel +from aare.common.logger_config import setup_logger logger=setup_logger("aareDAQ") diff --git a/src/aaredaq/server.py b/src/aare/daq/server.py similarity index 96% rename from src/aaredaq/server.py rename to src/aare/daq/server.py index 20d7fa62..c79061bd 100644 --- a/src/aaredaq/server.py +++ b/src/aare/daq/server.py @@ -6,26 +6,26 @@ import json import cv2 import urllib3 import uvicorn -from aaredaqlib.coordinate import SmargonCoordinate, Coordinate -from aaredaqlib.logger_config import setup_logger -from aaredaqlib.models import SampleShortInfo, DAQStatusModel, BeamlineStateEnum, BeamlineSettingsModel, \ +from aare.common.coordinate import SmargonCoordinate, Coordinate +from aare.common.logger_config import setup_logger +from aare.common.models import SampleShortInfo, DAQStatusModel, BeamlineStateEnum, BeamlineSettingsModel, \ SampleShortInfoList, SessionStatus, SampleCameraSettings, AutofocusSettings, TokenData, \ CryojetSettingsModel, SimpleScanParameters, CrystalSize, FluorescenceSpectrumParameterModel, \ FluorescenceSpectrumOutputModel -from aaredaqlib.raster_grid import RasterGridRequest, CompletedRasterGrid -from aaredaqlib.rotation_scan import RotationScanRequest, CompletedRotationScan -from aaredaqlib.sample_geometry import SampleGeometryModel +from aare.common.raster_grid import RasterGridRequest, CompletedRasterGrid +from aare.common.rotation_scan import RotationScanRequest, CompletedRotationScan +from aare.common.sample_geometry import SampleGeometryModel from fastapi import FastAPI, Depends from fastapi import HTTPException from fastapi import status as api_status from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm from starlette.responses import StreamingResponse -from aaredaq import auth -from aaredaqlib.beamline import mx_beamline -from aaredaq.config import BeamlineConfig -from aaredaq.daq import (AareDAQ, LoopCenteringFailed, TransformationInvalidException, - MountingFailed, WarningTellException, CriticalTellException) +from aare.aaredaq import auth +from aare.common.beamline import mx_beamline +from aare.aaredaq.config import BeamlineConfig +from aare.aaredaq.daq import (AareDAQ, LoopCenteringFailed, TransformationInvalidException, + MountingFailed, WarningTellException, CriticalTellException) app = FastAPI() @@ -713,7 +713,7 @@ def main(): urllib3.disable_warnings() # Run the application using uvicorn - uvicorn.run("aaredaq.server:app", host="0.0.0.0", port=5210, workers=4, log_config=LOGGING_CONFIG) + uvicorn.run("aare.daq.server:app", host="0.0.0.0", port=5210, workers=4, log_config=LOGGING_CONFIG) if __name__ == "__main__": diff --git a/src/aaredaq/spreadsheetupdater.py b/src/aare/daq/spreadsheetupdater.py similarity index 95% rename from src/aaredaq/spreadsheetupdater.py rename to src/aare/daq/spreadsheetupdater.py index 1303c2d9..380e97f1 100644 --- a/src/aaredaq/spreadsheetupdater.py +++ b/src/aare/daq/spreadsheetupdater.py @@ -2,11 +2,10 @@ import os import json import websocket import time -import signal -from aareDBclient.models import PuckWithTellPosition, DataCollectionParameters -from aaredaqlib.models import SampleShortInfoList, SampleShortInfo, DewarAddress +from aareDBclient.models import PuckWithTellPosition +from aare.common.models import SampleShortInfoList, SampleShortInfo, DewarAddress from config import BeamlineConfig -from aaredaqlib.beamline import MXBeamline +from aare.common.beamline import MXBeamline SLOT_IDENTIFIER = "X06DA" WS_URL = f"wss://mx-db-01.psi.ch/dispatcher/protected_router/tell_runner/ws/samples-spreadsheet/{SLOT_IDENTIFIER}" diff --git a/src/aaredaq/tellupdater.py b/src/aare/daq/tellupdater.py similarity index 97% rename from src/aaredaq/tellupdater.py rename to src/aare/daq/tellupdater.py index ea19edd0..0653973e 100644 --- a/src/aaredaq/tellupdater.py +++ b/src/aare/daq/tellupdater.py @@ -6,9 +6,9 @@ import requests import threading import time from aareDBclient.models import PuckWithTellPosition -from aaredevices.tell_client import TellClient +from aare.devices.tell_client import TellClient from aaredb import AareWrapper # Make sure the import path fits your project -from aaredaqlib.beamline import MXBeamline +from aare.common.beamline import MXBeamline # Configuration SLOT_IDENTIFIER = "X06DA" diff --git a/src/aaredaq/workflows.py b/src/aare/daq/workflows.py similarity index 96% rename from src/aaredaq/workflows.py rename to src/aare/daq/workflows.py index 2e58e076..8e740cd3 100644 --- a/src/aaredaq/workflows.py +++ b/src/aare/daq/workflows.py @@ -2,13 +2,13 @@ import time from epics import poll -from aaredaq.config import ABR_POS_MOUNT, ABR_OMEGA_MOUNT -from aaredaq.devices import BeamlineDevices -from aaredaq.config import BeamlineConfig -from aaredaqlib.coordinate import Coordinate -from aaredaqlib.logger_config import setup_logger -from aaredaqlib.models import StagePositionEnum, SampleCameraSettings, ZoomModeEnum -from aaredevices.mx_lib import pv_wait +from aare.aaredaq.config import ABR_POS_MOUNT, ABR_OMEGA_MOUNT +from aare.aaredaq.devices import BeamlineDevices +from aare.aaredaq.config import BeamlineConfig +from aare.common.coordinate import Coordinate +from aare.common.logger_config import setup_logger +from aare.common.models import StagePositionEnum, ZoomModeEnum +from aare.devices.mx_lib import pv_wait logger = setup_logger("aareDAQ") diff --git a/src/aaregui/__init__.py b/src/aare/devices/__init__.py similarity index 100% rename from src/aaregui/__init__.py rename to src/aare/devices/__init__.py diff --git a/src/aaredevices/aerotech.py b/src/aare/devices/aerotech.py similarity index 99% rename from src/aaredevices/aerotech.py rename to src/aare/devices/aerotech.py index 69291d2d..67e08190 100644 --- a/src/aaredevices/aerotech.py +++ b/src/aare/devices/aerotech.py @@ -108,7 +108,7 @@ import time from epics import PV, poll from epics.ca import pend_io -from aaredaqlib.beamline import MXBeamline +from aare.common.beamline import MXBeamline ABR_DONE = 0 ABR_READY = 1 diff --git a/src/aaredevices/area_detector.py b/src/aare/devices/area_detector.py similarity index 100% rename from src/aaredevices/area_detector.py rename to src/aare/devices/area_detector.py diff --git a/src/aaredevices/enum_pv.py b/src/aare/devices/enum_pv.py similarity index 100% rename from src/aaredevices/enum_pv.py rename to src/aare/devices/enum_pv.py diff --git a/src/aaredevices/experimental_hutch_shutter.py b/src/aare/devices/experimental_hutch_shutter.py similarity index 95% rename from src/aaredevices/experimental_hutch_shutter.py rename to src/aare/devices/experimental_hutch_shutter.py index 8800fc14..83526763 100644 --- a/src/aaredevices/experimental_hutch_shutter.py +++ b/src/aare/devices/experimental_hutch_shutter.py @@ -1,4 +1,4 @@ -from aaredaqlib.beamline import MXBeamline +from aare.common.beamline import MXBeamline from epics import PV class ExperimentalHutchShutter: diff --git a/src/aaredevices/filter_transmission.py b/src/aare/devices/filter_transmission.py similarity index 97% rename from src/aaredevices/filter_transmission.py rename to src/aare/devices/filter_transmission.py index 3c9c9e17..46dee47f 100644 --- a/src/aaredevices/filter_transmission.py +++ b/src/aare/devices/filter_transmission.py @@ -2,7 +2,7 @@ import time from epics import PV, poll -from aaredaqlib.beamline import MXBeamline +from aare.common.beamline import MXBeamline class FilterTransmission: diff --git a/src/aaredevices/fluorimeter.py b/src/aare/devices/fluorimeter.py similarity index 97% rename from src/aaredevices/fluorimeter.py rename to src/aare/devices/fluorimeter.py index 7b664729..ca5b298c 100644 --- a/src/aaredevices/fluorimeter.py +++ b/src/aare/devices/fluorimeter.py @@ -1,12 +1,10 @@ import time -from typing import Callable, cast from epics import PV, poll -from epics.ca import pend_io -from aaredaqlib.beamline import MXBeamline +from aare.common.beamline import MXBeamline -from aaredaqlib.logger_config import setup_logger +from aare.common.logger_config import setup_logger logger = setup_logger("aareaDAQ") diff --git a/src/aaredevices/jfjoch.py b/src/aare/devices/jfjoch.py similarity index 94% rename from src/aaredevices/jfjoch.py rename to src/aare/devices/jfjoch.py index 6d106d19..a0fa1934 100644 --- a/src/aaredevices/jfjoch.py +++ b/src/aare/devices/jfjoch.py @@ -2,11 +2,10 @@ import math import jfjoch_client -from aaredaqlib.beamline import MXBeamline -from aaredaqlib.diffraction_geometry import DiffractionGeometry -from aaredaqlib.models import SampleShortInfo, DAQStatusModel, FluorescenceSpectrumOutputModel -from aaredaqlib.raster_grid import RasterGridRequest -from aaredaqlib.rotation_scan import RotationScanRequest +from aare.common.beamline import MXBeamline +from aare.common.models import DAQStatusModel, FluorescenceSpectrumOutputModel +from aare.common.raster_grid import RasterGridRequest +from aare.common.rotation_scan import RotationScanRequest class JFJochWrapper: diff --git a/src/aaredevices/mx_lib.py b/src/aare/devices/mx_lib.py similarity index 100% rename from src/aaredevices/mx_lib.py rename to src/aare/devices/mx_lib.py diff --git a/src/aaredevices/my_motor.py b/src/aare/devices/my_motor.py similarity index 100% rename from src/aaredevices/my_motor.py rename to src/aare/devices/my_motor.py diff --git a/src/aaredevices/non_standard.py b/src/aare/devices/non_standard.py similarity index 100% rename from src/aaredevices/non_standard.py rename to src/aare/devices/non_standard.py diff --git a/src/aaredevices/pshell_client.py b/src/aare/devices/pshell_client.py similarity index 100% rename from src/aaredevices/pshell_client.py rename to src/aare/devices/pshell_client.py diff --git a/src/aaredevices/smargon.py b/src/aare/devices/smargon.py similarity index 97% rename from src/aaredevices/smargon.py rename to src/aare/devices/smargon.py index f40789e6..9d484f9e 100644 --- a/src/aaredevices/smargon.py +++ b/src/aare/devices/smargon.py @@ -3,8 +3,8 @@ from time import sleep, time import requests -from aaredaqlib.beamline import MXBeamline -from aaredaqlib.coordinate import SmargonCoordinate, Coordinate +from aare.common.beamline import MXBeamline +from aare.common.coordinate import SmargonCoordinate, Coordinate class SmargonMode(Enum): diff --git a/src/aaredevices/tell_client.py b/src/aare/devices/tell_client.py similarity index 99% rename from src/aaredevices/tell_client.py rename to src/aare/devices/tell_client.py index 73d29074..7abfeec2 100755 --- a/src/aaredevices/tell_client.py +++ b/src/aare/devices/tell_client.py @@ -1,5 +1,4 @@ import json -import logging import random import re import time @@ -8,8 +7,8 @@ from urllib.parse import urlparse import requests -from aaredaqlib.logger_config import setup_logger -from aaredaqlib.models import ( +from aare.common.logger_config import setup_logger +from aare.common.models import ( PuckLoadedInfo, SampleShortInfo, DewarAddress, @@ -19,8 +18,8 @@ from aaredaqlib.models import ( from aareDBclient import ( PuckWithTellPosition, ) -from aaredaqlib.beamline import MXBeamline # noqa: F401 -from aaredevices.pshell_client import PShellClient +from aare.common.beamline import MXBeamline # noqa: F401 +from aare.devices.pshell_client import PShellClient logger = setup_logger("aareDAQ") diff --git a/src/aaredevices/workflow_tools.py b/src/aare/devices/workflow_tools.py similarity index 100% rename from src/aaredevices/workflow_tools.py rename to src/aare/devices/workflow_tools.py diff --git a/src/aaregui/models/__init__.py b/src/aare/gui/__init__.py similarity index 100% rename from src/aaregui/models/__init__.py rename to src/aare/gui/__init__.py diff --git a/src/aaregui/auth.py b/src/aare/gui/auth.py similarity index 91% rename from src/aaregui/auth.py rename to src/aare/gui/auth.py index b02bdea6..9b6cb104 100644 --- a/src/aaregui/auth.py +++ b/src/aare/gui/auth.py @@ -2,9 +2,9 @@ import os import jwt import requests -from aaredaqlib.models import TokenData +from aare.common.models import TokenData -from aaredaqlib.logger_config import setup_logger +from aare.common.logger_config import setup_logger logger = setup_logger('aareGUI') diff --git a/src/aaregui/gui.py b/src/aare/gui/gui.py similarity index 96% rename from src/aaregui/gui.py rename to src/aare/gui/gui.py index 8a0f4ad7..6a519555 100644 --- a/src/aaregui/gui.py +++ b/src/aare/gui/gui.py @@ -5,11 +5,11 @@ from PySide6.QtCore import QCommandLineParser, QCommandLineOption from PySide6.QtWidgets import QApplication, QMessageBox -from aaredaqlib.logger_config import setup_logger -from aaregui.main_window import MainWindow +from aare.common.logger_config import setup_logger +from aare.gui.main_window import MainWindow #from aaregui.widgets.login import LoginDialog -from aaredaqlib.beamline import MXBeamline, mx_beamline -from aaregui.auth import auth +from aare.common.beamline import MXBeamline, mx_beamline +from aare.gui.auth import auth logger = setup_logger("aareGUI") diff --git a/src/aaregui/main_window.py b/src/aare/gui/main_window.py similarity index 93% rename from src/aaregui/main_window.py rename to src/aare/gui/main_window.py index 4edf83ee..5b8202aa 100644 --- a/src/aaregui/main_window.py +++ b/src/aare/gui/main_window.py @@ -4,39 +4,38 @@ from PySide6.QtGui import QAction from PySide6.QtWidgets import ( QMainWindow, QWidget, - QSplitter, QHBoxLayout, QVBoxLayout, QMessageBox, QApplication, QDockWidget, QTabWidget) -from aaredaqlib.coordinate import Coordinate, SmargonCoordinate -from aaredaqlib.diffraction_geometry import DiffractionGeometry -from aaredaqlib.logger_config import setup_logger -from aaredaqlib.models import SampleShortInfoList, TokenData, DAQStatusModel, BeamlineStateEnum -from aaredaqlib.sample_geometry import SampleGeometryModel -from aaregui.panels.LogPanel import LogDock +from aare.common.coordinate import Coordinate, SmargonCoordinate +from aare.common.diffraction_geometry import DiffractionGeometry +from aare.common.logger_config import setup_logger +from aare.common.models import SampleShortInfoList, TokenData, DAQStatusModel, BeamlineStateEnum +from aare.common.sample_geometry import SampleGeometryModel +from aare.gui.panels.LogPanel import LogDock -from aaregui.panels.beamline_controls import BeamlineControls -from aaregui.panels.data_collection_settings import DataCollectionSettings -from aaregui.panels.manual_sample_panel import ManualSamplePanel -from aaregui.panels.reference_tools_panel import ReferenceToolsPanel -from aaregui.panels.sample_queue_panel import SampleQueuePanel -from aaregui.panels.tell_sample_panel import TellSamplePanel -from aaregui.panels.face_detection_panel import FaceDetectionPanel -from aaregui.scan_logic.raster_grid_manager import RasterGridManager -from aaregui.scan_logic.rotation_scan_manager import RotationScanManager -from aaregui.scan_logic.sample_mount_logic import SampleMountLogic -from aaregui.threads.axis_video_thread import VideoThread -from aaregui.threads.camera_thread import SampleCameraThread, PredictionSubscriber -from aaregui.threads.daq_worker import DAQWorker -from aaregui.threads.jfjoch_viewer import JFJochDBusClient -from aaregui.widgets.camera_image import SampleCameraImageLabel -from aaregui.widgets.no_wheel_scroll_area import NoWheelScrollArea -from aaregui.widgets.status_bar import StatusBar -from aaregui.widgets.video_image import VideoGraphicsView -from aaregui.panels.fluorescence_panel import FluorescencePanel +from aare.gui.panels import BeamlineControls +from aare.gui.panels import DataCollectionSettings +from aare.gui.panels.manual_sample_panel import ManualSamplePanel +from aare.gui.panels.reference_tools_panel import ReferenceToolsPanel +from aare.gui.panels import SampleQueuePanel +from aare.gui.panels.tell_sample_panel import TellSamplePanel +from aare.gui.panels.face_detection_panel import FaceDetectionPanel +from aare.gui.scan_logic import RasterGridManager +from aare.gui.scan_logic import RotationScanManager +from aare.gui.scan_logic import SampleMountLogic +from aare.gui.threads.axis_video_thread import VideoThread +from aare.gui.threads import SampleCameraThread, PredictionSubscriber +from aare.gui.threads import DAQWorker +from aare.gui.threads import JFJochDBusClient +from aare.gui.widgets.camera_image import SampleCameraImageLabel +from aare.gui.widgets.no_wheel_scroll_area import NoWheelScrollArea +from aare.gui.widgets.status_bar import StatusBar +from aare.gui.widgets import VideoGraphicsView +from aare.gui.panels.fluorescence_panel import FluorescencePanel logger = setup_logger("aareGUI") diff --git a/src/aaregui/panels/__init__.py b/src/aare/gui/models/__init__.py similarity index 100% rename from src/aaregui/panels/__init__.py rename to src/aare/gui/models/__init__.py diff --git a/src/aaregui/models/bookmark.py b/src/aare/gui/models/bookmark.py similarity index 92% rename from src/aaregui/models/bookmark.py rename to src/aare/gui/models/bookmark.py index eff95c59..39e265aa 100644 --- a/src/aaregui/models/bookmark.py +++ b/src/aare/gui/models/bookmark.py @@ -2,7 +2,7 @@ from typing import Literal from PySide6.QtGui import QColor -from aaredaqlib.coordinate import SmargonCoordinate +from aare.common.coordinate import SmargonCoordinate class SmargonBookmark: diff --git a/src/aaregui/models/sample_queue_model.py b/src/aare/gui/models/sample_queue_model.py similarity index 96% rename from src/aaregui/models/sample_queue_model.py rename to src/aare/gui/models/sample_queue_model.py index 58030236..2721e29f 100644 --- a/src/aaregui/models/sample_queue_model.py +++ b/src/aare/gui/models/sample_queue_model.py @@ -1,7 +1,7 @@ -from PySide6.QtCore import QAbstractTableModel, Qt, Slot +from PySide6.QtCore import QAbstractTableModel, Qt from PySide6.QtGui import QBrush, QColor -from aaredaqlib.models import SampleShortInfo, SampleShortInfoList +from aare.common.models import SampleShortInfo, SampleShortInfoList def get_entry(sample: SampleShortInfo, column: int): diff --git a/src/aaregui/models/user_sample_model.py b/src/aare/gui/models/user_sample_model.py similarity index 99% rename from src/aaregui/models/user_sample_model.py rename to src/aare/gui/models/user_sample_model.py index 71ebd782..7e6cef80 100644 --- a/src/aaregui/models/user_sample_model.py +++ b/src/aare/gui/models/user_sample_model.py @@ -3,7 +3,7 @@ import re from PySide6.QtCore import QAbstractTableModel, Qt, QMimeData from PySide6.QtGui import QBrush, QColor -from aaredaqlib.models import SampleShortInfo, SampleShortInfoList +from aare.common.models import SampleShortInfo, SampleShortInfoList def get_entry(sample: SampleShortInfo, column: int): diff --git a/src/aaregui/panels/LogPanel.py b/src/aare/gui/panels/LogPanel.py similarity index 85% rename from src/aaregui/panels/LogPanel.py rename to src/aare/gui/panels/LogPanel.py index 1a93ae77..9af0e920 100644 --- a/src/aaregui/panels/LogPanel.py +++ b/src/aare/gui/panels/LogPanel.py @@ -1,9 +1,9 @@ # Python -from PySide6.QtCore import Qt, Signal, QObject +from PySide6.QtCore import Qt from PySide6.QtWidgets import QDockWidget, QPlainTextEdit -from aaredaqlib.logger_config import QtLogEmitter, QtLogHandler, find_existing_formatter, attach_to_logger +from aare.common.logger_config import QtLogEmitter, QtLogHandler, find_existing_formatter, attach_to_logger class LogDock(QDockWidget): diff --git a/src/aaregui/scan_logic/__init__.py b/src/aare/gui/panels/__init__.py similarity index 100% rename from src/aaregui/scan_logic/__init__.py rename to src/aare/gui/panels/__init__.py diff --git a/src/aaregui/panels/abr_tweak_panel.py b/src/aare/gui/panels/abr_tweak_panel.py similarity index 95% rename from src/aaregui/panels/abr_tweak_panel.py rename to src/aare/gui/panels/abr_tweak_panel.py index e1434aa2..0654f7bb 100644 --- a/src/aaregui/panels/abr_tweak_panel.py +++ b/src/aare/gui/panels/abr_tweak_panel.py @@ -1,12 +1,12 @@ from PySide6.QtCore import Signal, Slot from PySide6.QtGui import Qt from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QPushButton -from aaredaqlib.coordinate import Coordinate -from aaredaqlib.models import DAQStatusModel +from aare.common.coordinate import Coordinate +from aare.common.models import DAQStatusModel -from aaregui.widgets.button_with_payload import ButtonWithPayload -from aaregui.widgets.number_line_edit import NumberLineEdit -from aaregui.widgets.title_label import TitleLabel +from aare.gui.widgets import ButtonWithPayload +from aare.gui.widgets import NumberLineEdit +from aare.gui.widgets.title_label import TitleLabel DEFAULT_ABR_STEP_UM = 5 diff --git a/src/aaregui/panels/beam_center_panel.py b/src/aare/gui/panels/beam_center_panel.py similarity index 88% rename from src/aaregui/panels/beam_center_panel.py rename to src/aare/gui/panels/beam_center_panel.py index 3fd7c385..8309036d 100644 --- a/src/aaregui/panels/beam_center_panel.py +++ b/src/aare/gui/panels/beam_center_panel.py @@ -1,9 +1,9 @@ from PySide6.QtCore import Signal, Slot from PySide6.QtWidgets import QWidget, QGridLayout, QLabel -from aaredaqlib.models import DAQStatusModel -from aaregui.widgets.number_line_edit import NumberLineEdit -from aaregui.widgets.title_label import TitleLabel +from aare.common.models import DAQStatusModel +from aare.gui.widgets import NumberLineEdit +from aare.gui.widgets.title_label import TitleLabel class BeamCenterWidget(QWidget): diff --git a/src/aaregui/panels/beam_mark_panel.py b/src/aare/gui/panels/beam_mark_panel.py similarity index 91% rename from src/aaregui/panels/beam_mark_panel.py rename to src/aare/gui/panels/beam_mark_panel.py index aeb4ef46..0d064db9 100644 --- a/src/aaregui/panels/beam_mark_panel.py +++ b/src/aare/gui/panels/beam_mark_panel.py @@ -1,8 +1,8 @@ from PySide6.QtCore import Signal, Slot from PySide6.QtWidgets import QWidget, QGridLayout, QPushButton, QLabel -from aaredaqlib.models import DAQStatusModel -from aaregui.widgets.title_label import TitleLabel +from aare.common.models import DAQStatusModel +from aare.gui.widgets.title_label import TitleLabel class BeamMarkWidget(QWidget): diff --git a/src/aaregui/panels/beam_size_panel.py b/src/aare/gui/panels/beam_size_panel.py similarity index 88% rename from src/aaregui/panels/beam_size_panel.py rename to src/aare/gui/panels/beam_size_panel.py index 59fd54cd..330cf66d 100644 --- a/src/aaregui/panels/beam_size_panel.py +++ b/src/aare/gui/panels/beam_size_panel.py @@ -1,9 +1,9 @@ from PySide6.QtCore import Signal, Slot from PySide6.QtWidgets import QWidget, QGridLayout, QLabel -from aaredaqlib.models import DAQStatusModel -from aaregui.widgets.number_line_edit import NumberLineEdit -from aaregui.widgets.title_label import TitleLabel +from aare.common.models import DAQStatusModel +from aare.gui.widgets import NumberLineEdit +from aare.gui.widgets.title_label import TitleLabel class BeamSizeWidget(QWidget): diff --git a/src/aaregui/panels/beamline_controls.py b/src/aare/gui/panels/beamline_controls.py similarity index 70% rename from src/aaregui/panels/beamline_controls.py rename to src/aare/gui/panels/beamline_controls.py index 187f33f8..ec79a0e7 100644 --- a/src/aaregui/panels/beamline_controls.py +++ b/src/aare/gui/panels/beamline_controls.py @@ -1,16 +1,15 @@ from PySide6.QtWidgets import QFrame, QVBoxLayout -from aaregui.panels.abr_tweak_panel import AbrTweakWidget -from aaregui.panels.beam_center_panel import BeamCenterWidget -from aaregui.panels.beam_mark_panel import BeamMarkWidget -from aaregui.panels.beam_size_panel import BeamSizeWidget -from aaregui.panels.beamline_state_panel import BeamlineStatePanel -from aaregui.panels.illumination_panel import IlluminationPanel -from aaregui.panels.loop_centering_panel import LoopCenteringPanel -from aaregui.panels.omega_panel import OmegaPanel -from aaregui.panels.samcam_panel import SamcamPanel -from aaregui.panels.smargon_panel import SmargonPanel -from aaregui.panels.zoom_panel import ZoomPanel +from aare.gui.panels import AbrTweakWidget +from aare.gui.panels import BeamCenterWidget +from aare.gui.panels import BeamMarkWidget +from aare.gui.panels import BeamSizeWidget +from aare.gui.panels import IlluminationPanel +from aare.gui.panels.loop_centering_panel import LoopCenteringPanel +from aare.gui.panels.omega_panel import OmegaPanel +from aare.gui.panels.samcam_panel import SamcamPanel +from aare.gui.panels.smargon_panel import SmargonPanel +from aare.gui.panels.zoom_panel import ZoomPanel class BeamlineControls(QFrame): diff --git a/src/aaregui/panels/beamline_state_panel.py b/src/aare/gui/panels/beamline_state_panel.py similarity index 93% rename from src/aaregui/panels/beamline_state_panel.py rename to src/aare/gui/panels/beamline_state_panel.py index 12064bff..1928f630 100644 --- a/src/aaregui/panels/beamline_state_panel.py +++ b/src/aare/gui/panels/beamline_state_panel.py @@ -1,6 +1,6 @@ from PySide6.QtWidgets import QWidget, QGridLayout, QPushButton -from aaregui.widgets.title_label import TitleLabel +from aare.gui.widgets.title_label import TitleLabel class BeamlineStatePanel(QWidget): diff --git a/src/aaregui/panels/data_collection_settings.py b/src/aare/gui/panels/data_collection_settings.py similarity index 80% rename from src/aaregui/panels/data_collection_settings.py rename to src/aare/gui/panels/data_collection_settings.py index b89d695c..59ee2ad8 100644 --- a/src/aaregui/panels/data_collection_settings.py +++ b/src/aare/gui/panels/data_collection_settings.py @@ -3,23 +3,19 @@ from PySide6.QtWidgets import ( QFrame, QVBoxLayout, QTabWidget, - QGridLayout, QPushButton, - QWidget, ) -from aaredaqlib.diffraction_geometry import DiffractionGeometry -from aaredaqlib.models import DAQStatusModel -from aaredaqlib.rotation_scan import RotationScanRequest -from aaredaqlib.sample_geometry import SampleGeometryModel +from aare.common.diffraction_geometry import DiffractionGeometry +from aare.common.models import DAQStatusModel +from aare.common.sample_geometry import SampleGeometryModel -from aaregui.panels.file_path_panel import FilePathPanel -from aaregui.panels.fluorescence_data_collection import FluorescenceDataCollectionPanel -from aaregui.panels.raster_data_collection import RasterDataCollectionPanel -from aaregui.panels.rotation_data_collection import RotationDataCollectionPanel -from aaregui.panels.smart_rotation_panel import SimpleRotationSettingsPanel -from aaregui.scan_logic.raster_grid_manager import RasterGridManager -from aaregui.widgets.title_label import TitleLabel +from aare.gui.panels.file_path_panel import FilePathPanel +from aare.gui.panels.fluorescence_data_collection import FluorescenceDataCollectionPanel +from aare.gui.panels.raster_data_collection import RasterDataCollectionPanel +from aare.gui.panels.rotation_data_collection import RotationDataCollectionPanel +from aare.gui.panels import SimpleRotationSettingsPanel +from aare.gui.scan_logic import RasterGridManager class DataCollectionSettings(QFrame): diff --git a/src/aaregui/panels/face_detection_panel.py b/src/aare/gui/panels/face_detection_panel.py similarity index 93% rename from src/aaregui/panels/face_detection_panel.py rename to src/aare/gui/panels/face_detection_panel.py index 9721e83c..be7eba7b 100644 --- a/src/aaregui/panels/face_detection_panel.py +++ b/src/aare/gui/panels/face_detection_panel.py @@ -1,15 +1,14 @@ # Python -from PySide6.QtCore import Slot, Qt, Signal -from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QFrame, QPushButton, QSpacerItem, QSizePolicy, QVBoxLayout, \ - QHBoxLayout +from PySide6.QtCore import Signal +from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QPushButton, QVBoxLayout from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas from matplotlib.figure import Figure import numpy as np -from aaregui.widgets.number_line_edit import NumberLineEdit -from aaregui.widgets.title_label import TitleLabel +from aare.gui.widgets import NumberLineEdit +from aare.gui.widgets.title_label import TitleLabel -from aaredaqlib.logger_config import setup_logger +from aare.common.logger_config import setup_logger logger = setup_logger("aareGUI") diff --git a/src/aaregui/panels/file_path_panel.py b/src/aare/gui/panels/file_path_panel.py similarity index 98% rename from src/aaregui/panels/file_path_panel.py rename to src/aare/gui/panels/file_path_panel.py index 89c69eae..8af17c42 100644 --- a/src/aaregui/panels/file_path_panel.py +++ b/src/aare/gui/panels/file_path_panel.py @@ -1,13 +1,12 @@ -import copy import os from datetime import datetime from pathlib import Path from PySide6.QtCore import Signal, Slot, Qt -from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QLineEdit, QSpinBox, QCheckBox, QMessageBox +from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QLineEdit, QSpinBox, QMessageBox -from aaredaqlib.models import SampleShortInfo, DAQStatusModel -from aaregui.widgets.title_label import TitleLabel +from aare.common.models import SampleShortInfo, DAQStatusModel +from aare.gui.widgets.title_label import TitleLabel ## Logic for filenames: ## 1. For rasters 'raster/' subfolder is added at the top level of the path (managed by DAQ) - e.g. raster/20250101/PX-456/01/dataset diff --git a/src/aaregui/panels/fluorescence_data_collection.py b/src/aare/gui/panels/fluorescence_data_collection.py similarity index 93% rename from src/aaregui/panels/fluorescence_data_collection.py rename to src/aare/gui/panels/fluorescence_data_collection.py index bf112e50..b7180b33 100644 --- a/src/aaregui/panels/fluorescence_data_collection.py +++ b/src/aare/gui/panels/fluorescence_data_collection.py @@ -1,8 +1,8 @@ from PySide6.QtCore import Signal, Slot from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QPushButton, QCheckBox -from aaredaqlib.models import FluorescenceSpectrumParameterModel -from aaregui.widgets.number_line_edit import NumberLineEdit +from aare.common.models import FluorescenceSpectrumParameterModel +from aare.gui.widgets import NumberLineEdit class FluorescenceDataCollectionPanel(QWidget): diff --git a/src/aaregui/panels/fluorescence_panel.py b/src/aare/gui/panels/fluorescence_panel.py similarity index 98% rename from src/aaregui/panels/fluorescence_panel.py rename to src/aare/gui/panels/fluorescence_panel.py index d977543a..a5849ee5 100644 --- a/src/aaregui/panels/fluorescence_panel.py +++ b/src/aare/gui/panels/fluorescence_panel.py @@ -1,11 +1,11 @@ import numpy as np from PySide6.QtCharts import QChart, QChartView, QLineSeries, QValueAxis -from PySide6.QtCore import QPointF, Qt, Slot, Signal, QEvent +from PySide6.QtCore import QPointF, Qt, Slot, QEvent from PySide6.QtGui import QPainter, QColor, QPen from PySide6.QtWidgets import QWidget, QGridLayout, QGraphicsSimpleTextItem, QLabel -from aaredaqlib.logger_config import setup_logger -from aaredaqlib.models import FluorescenceSpectrumOutputModel, DAQStatusModel +from aare.common.logger_config import setup_logger +from aare.common.models import FluorescenceSpectrumOutputModel, DAQStatusModel logger = setup_logger("aareGUI") diff --git a/src/aaregui/panels/illumination_panel.py b/src/aare/gui/panels/illumination_panel.py similarity index 91% rename from src/aaregui/panels/illumination_panel.py rename to src/aare/gui/panels/illumination_panel.py index ce441fad..2fb84eee 100644 --- a/src/aaregui/panels/illumination_panel.py +++ b/src/aare/gui/panels/illumination_panel.py @@ -1,8 +1,8 @@ from PySide6.QtCore import Qt, Signal, Slot from PySide6.QtWidgets import QWidget, QGridLayout, QSlider -from aaredaqlib.models import DAQStatusModel +from aare.common.models import DAQStatusModel -from aaregui.widgets.title_label import TitleLabel +from aare.gui.widgets.title_label import TitleLabel class IlluminationPanel(QWidget): diff --git a/src/aaregui/panels/loop_centering_panel.py b/src/aare/gui/panels/loop_centering_panel.py similarity index 93% rename from src/aaregui/panels/loop_centering_panel.py rename to src/aare/gui/panels/loop_centering_panel.py index 18199693..41de4548 100644 --- a/src/aaregui/panels/loop_centering_panel.py +++ b/src/aare/gui/panels/loop_centering_panel.py @@ -1,6 +1,6 @@ from PySide6.QtWidgets import QWidget, QGridLayout, QPushButton -from aaregui.widgets.title_label import TitleLabel +from aare.gui.widgets.title_label import TitleLabel class LoopCenteringPanel(QWidget): diff --git a/src/aaregui/panels/manual_sample_panel.py b/src/aare/gui/panels/manual_sample_panel.py similarity index 94% rename from src/aaregui/panels/manual_sample_panel.py rename to src/aare/gui/panels/manual_sample_panel.py index 5dce6884..6b669f74 100644 --- a/src/aaregui/panels/manual_sample_panel.py +++ b/src/aare/gui/panels/manual_sample_panel.py @@ -1,10 +1,10 @@ from PySide6.QtCore import Signal, Slot -from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QTextEdit, QPushButton, QCheckBox, QLineEdit +from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QPushButton, QCheckBox, QLineEdit from aareDBclient import DataCollectionParameters -from aaredaqlib.models import SampleShortInfo, DAQStatusModel -from aaregui.widgets.number_line_edit import NumberLineEdit -from aaregui.widgets.title_label import TitleLabel +from aare.common.models import SampleShortInfo, DAQStatusModel +from aare.gui.widgets import NumberLineEdit +from aare.gui.widgets.title_label import TitleLabel class ManualSamplePanel(QWidget): diff --git a/src/aaregui/panels/omega_panel.py b/src/aare/gui/panels/omega_panel.py similarity index 91% rename from src/aaregui/panels/omega_panel.py rename to src/aare/gui/panels/omega_panel.py index 566770b0..38a8a8d2 100644 --- a/src/aaregui/panels/omega_panel.py +++ b/src/aare/gui/panels/omega_panel.py @@ -1,10 +1,10 @@ from PySide6.QtCore import Signal, Slot from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QHBoxLayout -from aaredaqlib.models import DAQStatusModel +from aare.common.models import DAQStatusModel -from aaregui.widgets.button_with_payload import ButtonWithPayload -from aaregui.widgets.number_line_edit import NumberLineEdit -from aaregui.widgets.title_label import TitleLabel +from aare.gui.widgets import ButtonWithPayload +from aare.gui.widgets import NumberLineEdit +from aare.gui.widgets.title_label import TitleLabel class OmegaEntryWidget(QWidget): diff --git a/src/aaregui/panels/raster_data_collection.py b/src/aare/gui/panels/raster_data_collection.py similarity index 94% rename from src/aaregui/panels/raster_data_collection.py rename to src/aare/gui/panels/raster_data_collection.py index 0e083f62..40bdda9b 100644 --- a/src/aaregui/panels/raster_data_collection.py +++ b/src/aare/gui/panels/raster_data_collection.py @@ -1,14 +1,13 @@ from PySide6.QtCore import Signal, Slot, Qt -from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QSizePolicy, QSpacerItem, QPushButton, QHBoxLayout, \ - QComboBox, QSlider, QMessageBox +from PySide6.QtWidgets import QLabel, QSizePolicy, QSpacerItem, QPushButton, QComboBox, QSlider, QMessageBox -from aaredaqlib.diffraction_geometry import DiffractionGeometry -from aaredaqlib.models import DAQStatusModel, BeamlineStateEnum -from aaregui.panels.scan_settings_panel import ScanSettingsPanel -from aaregui.scan_logic.raster_grid_manager import RasterGridManager, RasterGridMetric -from aaregui.widgets.number_line_edit import NumberLineEdit, CheckedLineEdit -from aaregui.widgets.raster_grid_table import RasterGridTable -from aaredaqlib.logger_config import setup_logger +from aare.common.diffraction_geometry import DiffractionGeometry +from aare.common.models import DAQStatusModel, BeamlineStateEnum +from aare.gui.panels import ScanSettingsPanel +from aare.gui.scan_logic import RasterGridManager, RasterGridMetric +from aare.gui.widgets import CheckedLineEdit +from aare.gui.widgets.raster_grid_table import RasterGridTable +from aare.common.logger_config import setup_logger logger = setup_logger("aareGUI") diff --git a/src/aaregui/panels/reference_tools_panel.py b/src/aare/gui/panels/reference_tools_panel.py similarity index 97% rename from src/aaregui/panels/reference_tools_panel.py rename to src/aare/gui/panels/reference_tools_panel.py index 59fd5c80..b21807b4 100644 --- a/src/aaregui/panels/reference_tools_panel.py +++ b/src/aare/gui/panels/reference_tools_panel.py @@ -1,7 +1,7 @@ # reference_tools_panel.py -from typing import Callable, List, Dict, Optional +from typing import Optional -from PySide6.QtCore import Qt, QAbstractTableModel, QModelIndex, QTimer, Slot, Signal +from PySide6.QtCore import Qt, QAbstractTableModel, QModelIndex, Slot, Signal from PySide6.QtGui import QBrush, QColor from PySide6.QtWidgets import ( QFrame, @@ -14,9 +14,9 @@ from PySide6.QtWidgets import ( QAbstractItemView, ) -from aaredaqlib.logger_config import setup_logger -from aaredaqlib.models import SampleShortInfoList, SampleShortInfo, BeamlineStateEnum, DAQStatusModel -from aaregui.widgets.title_label import TitleLabel +from aare.common.logger_config import setup_logger +from aare.common.models import SampleShortInfoList, SampleShortInfo, DAQStatusModel +from aare.gui.widgets.title_label import TitleLabel logger = setup_logger("aareGUI") diff --git a/src/aaregui/panels/rotation_data_collection.py b/src/aare/gui/panels/rotation_data_collection.py similarity index 96% rename from src/aaregui/panels/rotation_data_collection.py rename to src/aare/gui/panels/rotation_data_collection.py index 5e951ad9..c0ecd232 100644 --- a/src/aaregui/panels/rotation_data_collection.py +++ b/src/aare/gui/panels/rotation_data_collection.py @@ -3,12 +3,12 @@ from pathlib import Path from PySide6.QtCore import Slot, Signal, Qt from PySide6.QtWidgets import QLabel, QComboBox, QPushButton, QMessageBox -from aaredaqlib.diffraction_geometry import DiffractionGeometry -from aaredaqlib.logger_config import setup_logger -from aaredaqlib.models import DAQStatusModel, BeamlineStateEnum -from aaredaqlib.rotation_scan import RotationScanRequest -from aaregui.panels.scan_settings_panel import ScanSettingsPanel -from aaregui.widgets.number_line_edit import NumberLineEdit, CheckedLineEdit +from aare.common.diffraction_geometry import DiffractionGeometry +from aare.common.logger_config import setup_logger +from aare.common.models import DAQStatusModel, BeamlineStateEnum +from aare.common.rotation_scan import RotationScanRequest +from aare.gui.panels import ScanSettingsPanel +from aare.gui.widgets import NumberLineEdit, CheckedLineEdit logger = setup_logger("aareGUI") diff --git a/src/aaregui/panels/samcam_panel.py b/src/aare/gui/panels/samcam_panel.py similarity index 92% rename from src/aaregui/panels/samcam_panel.py rename to src/aare/gui/panels/samcam_panel.py index abeebc78..174f911d 100644 --- a/src/aaregui/panels/samcam_panel.py +++ b/src/aare/gui/panels/samcam_panel.py @@ -1,8 +1,8 @@ -from PySide6.QtWidgets import QWidget, QSpinBox, QVBoxLayout, QHBoxLayout, QLabel, QDoubleSpinBox, QCheckBox +from PySide6.QtWidgets import QWidget, QVBoxLayout, QHBoxLayout, QLabel, QDoubleSpinBox, QCheckBox from PySide6.QtCore import Signal, Slot -from aaredaqlib.models import SampleCameraSettings, DAQStatusModel -from aaregui.widgets.title_label import TitleLabel +from aare.common.models import SampleCameraSettings, DAQStatusModel +from aare.gui.widgets.title_label import TitleLabel class SamcamPanel(QWidget): diff --git a/src/aaregui/panels/sample_queue_panel.py b/src/aare/gui/panels/sample_queue_panel.py similarity index 96% rename from src/aaregui/panels/sample_queue_panel.py rename to src/aare/gui/panels/sample_queue_panel.py index b52b4157..3bfab65e 100644 --- a/src/aaregui/panels/sample_queue_panel.py +++ b/src/aare/gui/panels/sample_queue_panel.py @@ -2,15 +2,15 @@ from PySide6.QtCore import Signal, Slot, Qt, QTimer from PySide6.QtWidgets import QFrame, QVBoxLayout, QHBoxLayout, QPushButton, QHeaderView, QSizePolicy, \ QTableView, QMessageBox from PySide6.QtGui import QKeySequence, QShortcut -from aaredaqlib.models import SampleShortInfoList, SampleShortInfo, BeamlineStateEnum +from aare.common.models import SampleShortInfoList, SampleShortInfo, BeamlineStateEnum -from aaregui.models.sample_queue_model import SampleQueueSpreadsheet -from aaregui.widgets.message_box import ring_current_low_check, experiment_hutch_shutter_check, LOW_CURRENT_THRESHOLD, \ +from aare.gui.models import SampleQueueSpreadsheet +from aare.gui.widgets.message_box import ring_current_low_check, experiment_hutch_shutter_check, LOW_CURRENT_THRESHOLD, \ ring_current_auto_check -from aaregui.widgets.title_label import TitleLabel -from aaredaqlib.models import DAQStatusModel +from aare.gui.widgets.title_label import TitleLabel +from aare.common.models import DAQStatusModel -from aaredaqlib.logger_config import setup_logger +from aare.common.logger_config import setup_logger logger = setup_logger("aareGUI") diff --git a/src/aaregui/panels/scan_settings_panel.py b/src/aare/gui/panels/scan_settings_panel.py similarity index 95% rename from src/aaregui/panels/scan_settings_panel.py rename to src/aare/gui/panels/scan_settings_panel.py index 4816ee5a..f67235e3 100644 --- a/src/aaregui/panels/scan_settings_panel.py +++ b/src/aare/gui/panels/scan_settings_panel.py @@ -1,11 +1,11 @@ from PySide6.QtCore import Slot, Signal -from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QFrame, QPushButton, QMessageBox +from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QPushButton -from aaredaqlib.diffraction_geometry import DiffractionGeometry -from aaredaqlib.logger_config import setup_logger -from aaredaqlib.models import DAQStatusModel -from aaregui.widgets.message_box import ring_current_low_check, experiment_hutch_shutter_check -from aaregui.widgets.number_line_edit import NumberLineEdit, CheckedLineEdit +from aare.common.diffraction_geometry import DiffractionGeometry +from aare.common.logger_config import setup_logger +from aare.common.models import DAQStatusModel +from aare.gui.widgets.message_box import ring_current_low_check, experiment_hutch_shutter_check +from aare.gui.widgets import CheckedLineEdit logger = setup_logger("aareGUI") diff --git a/src/aaregui/panels/smargon_panel.py b/src/aare/gui/panels/smargon_panel.py similarity index 91% rename from src/aaregui/panels/smargon_panel.py rename to src/aare/gui/panels/smargon_panel.py index 571a9cef..0bf70a79 100644 --- a/src/aaregui/panels/smargon_panel.py +++ b/src/aare/gui/panels/smargon_panel.py @@ -1,12 +1,12 @@ from PySide6.QtCore import Signal, Slot from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QPushButton -from aaredaqlib.models import DAQStatusModel -from aaregui.widgets.button_with_payload import ButtonWithPayload -from aaregui.widgets.number_line_edit import NumberLineEdit -from aaregui.widgets.title_label import TitleLabel -from aaredaqlib.coordinate import SmargonCoordinate, Coordinate -from aaredaqlib.sample_geometry import SampleGeometryModel +from aare.common.models import DAQStatusModel +from aare.gui.widgets import ButtonWithPayload +from aare.gui.widgets import NumberLineEdit +from aare.gui.widgets.title_label import TitleLabel +from aare.common.coordinate import SmargonCoordinate, Coordinate +from aare.common.sample_geometry import SampleGeometryModel class SmargonMoveWidget(QWidget): diff --git a/src/aaregui/panels/smart_rotation_panel.py b/src/aare/gui/panels/smart_rotation_panel.py similarity index 97% rename from src/aaregui/panels/smart_rotation_panel.py rename to src/aare/gui/panels/smart_rotation_panel.py index 08c0c90d..4b6222c2 100644 --- a/src/aaregui/panels/smart_rotation_panel.py +++ b/src/aare/gui/panels/smart_rotation_panel.py @@ -1,13 +1,13 @@ import math from PySide6.QtCore import Slot, Qt, Signal -from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QFrame, QPushButton, QSpacerItem, QSizePolicy +from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QPushButton, QSpacerItem, QSizePolicy -from aaredaqlib.logger_config import setup_logger -from aaredaqlib.models import DAQStatusModel, SimpleScanParameters, CrystalSize -from aaredaqlib.rotation_scan import RotationScanRequest -from aaregui.panels.rotation_data_collection import add_data_to_path -from aaregui.widgets.number_line_edit import NumberLineEdit +from aare.common.logger_config import setup_logger +from aare.common.models import DAQStatusModel, SimpleScanParameters, CrystalSize +from aare.common.rotation_scan import RotationScanRequest +from aare.gui.panels.rotation_data_collection import add_data_to_path +from aare.gui.widgets import NumberLineEdit logger = setup_logger("aareGUI") diff --git a/src/aaregui/panels/status_panel.py b/src/aare/gui/panels/status_panel.py similarity index 93% rename from src/aaregui/panels/status_panel.py rename to src/aare/gui/panels/status_panel.py index f37c3906..67051080 100644 --- a/src/aaregui/panels/status_panel.py +++ b/src/aare/gui/panels/status_panel.py @@ -1,11 +1,11 @@ from PySide6.QtCore import Qt, Slot from PySide6.QtGui import QPixmap from PySide6.QtWidgets import QFrame, QGridLayout, QLabel, QSpacerItem, QSizePolicy -from aaredaqlib.models import DAQStatusModel -from aaredaqlib.sample_geometry import SampleGeometryModel +from aare.common.models import DAQStatusModel +from aare.common.sample_geometry import SampleGeometryModel -from aaregui.widgets.status_label import StatusLabel -from aaregui.widgets.title_label import TitleLabel +from aare.gui.widgets.status_label import StatusLabel +from aare.gui.widgets.title_label import TitleLabel class StatusPanel(QFrame): diff --git a/src/aaregui/panels/tell_sample_panel.py b/src/aare/gui/panels/tell_sample_panel.py similarity index 96% rename from src/aaregui/panels/tell_sample_panel.py rename to src/aare/gui/panels/tell_sample_panel.py index 9984bcf7..fce011fd 100644 --- a/src/aaregui/panels/tell_sample_panel.py +++ b/src/aare/gui/panels/tell_sample_panel.py @@ -10,11 +10,11 @@ from PySide6.QtWidgets import ( QAbstractItemView, ) -from aaredaqlib.logger_config import setup_logger -from aaredaqlib.models import BeamlineStateEnum, SampleShortInfo, SampleShortInfoList, DAQStatusModel +from aare.common.logger_config import setup_logger +from aare.common.models import BeamlineStateEnum, SampleShortInfo, SampleShortInfoList, DAQStatusModel -from aaregui.models.user_sample_model import UserSampleSpreadsheet -from aaregui.widgets.title_label import TitleLabel +from aare.gui.models.user_sample_model import UserSampleSpreadsheet +from aare.gui.widgets.title_label import TitleLabel logger = setup_logger("aareGUI") diff --git a/src/aaregui/panels/zoom_panel.py b/src/aare/gui/panels/zoom_panel.py similarity index 90% rename from src/aaregui/panels/zoom_panel.py rename to src/aare/gui/panels/zoom_panel.py index f5009049..0fbae60d 100644 --- a/src/aaregui/panels/zoom_panel.py +++ b/src/aare/gui/panels/zoom_panel.py @@ -1,9 +1,9 @@ from PySide6.QtCore import Slot, Signal from PySide6.QtWidgets import QWidget, QGridLayout -from aaredaqlib.models import DAQStatusModel -from aaregui.widgets.button_with_payload import ButtonWithPayload -from aaregui.widgets.title_label import TitleLabel +from aare.common.models import DAQStatusModel +from aare.gui.widgets import ButtonWithPayload +from aare.gui.widgets.title_label import TitleLabel class ZoomPanel(QWidget): diff --git a/src/aaregui/threads/__init__.py b/src/aare/gui/scan_logic/__init__.py similarity index 100% rename from src/aaregui/threads/__init__.py rename to src/aare/gui/scan_logic/__init__.py diff --git a/src/aaregui/scan_logic/raster_grid_manager.py b/src/aare/gui/scan_logic/raster_grid_manager.py similarity index 98% rename from src/aaregui/scan_logic/raster_grid_manager.py rename to src/aare/gui/scan_logic/raster_grid_manager.py index 73271c63..3ce894a9 100644 --- a/src/aaregui/scan_logic/raster_grid_manager.py +++ b/src/aare/gui/scan_logic/raster_grid_manager.py @@ -1,4 +1,3 @@ -import copy import math from enum import Enum @@ -7,12 +6,12 @@ from PySide6.QtGui import QPainter, QPen, QColor, QBrush from PySide6.QtCore import Qt, QRect from typing import List, Tuple -from aaredaqlib.coordinate import Coordinate, SmargonCoordinate -from aaredaqlib.models import DAQStatusModel -from aaredaqlib.raster_grid import RasterGridRequest, CompletedRasterGrid, CompletedRasterGridElem -from aaredaqlib.sample_geometry import SampleGeometryModel +from aare.common.coordinate import Coordinate, SmargonCoordinate +from aare.common.models import DAQStatusModel +from aare.common.raster_grid import RasterGridRequest, CompletedRasterGrid, CompletedRasterGridElem +from aare.common.sample_geometry import SampleGeometryModel -from aaredaqlib.logger_config import setup_logger +from aare.common.logger_config import setup_logger logger = setup_logger("aareGUI") diff --git a/src/aaregui/scan_logic/rotation_scan_manager.py b/src/aare/gui/scan_logic/rotation_scan_manager.py similarity index 86% rename from src/aaregui/scan_logic/rotation_scan_manager.py rename to src/aare/gui/scan_logic/rotation_scan_manager.py index 29907bab..16922e51 100644 --- a/src/aaregui/scan_logic/rotation_scan_manager.py +++ b/src/aare/gui/scan_logic/rotation_scan_manager.py @@ -1,6 +1,6 @@ from PySide6.QtCore import QObject, Signal, Slot -from aaredaqlib.rotation_scan import CompletedRotationScan +from aare.common.rotation_scan import CompletedRotationScan class RotationScanManager(QObject): diff --git a/src/aaregui/scan_logic/sample_mount_logic.py b/src/aare/gui/scan_logic/sample_mount_logic.py similarity index 87% rename from src/aaregui/scan_logic/sample_mount_logic.py rename to src/aare/gui/scan_logic/sample_mount_logic.py index 03ecaa88..60bdccb3 100644 --- a/src/aaregui/scan_logic/sample_mount_logic.py +++ b/src/aare/gui/scan_logic/sample_mount_logic.py @@ -1,6 +1,6 @@ from PySide6.QtCore import QObject, Slot, Signal -from aaredaqlib.models import DAQStatusModel, SampleShortInfo +from aare.common.models import DAQStatusModel, SampleShortInfo class SampleMountLogic(QObject): diff --git a/src/aaregui/widgets/__init__.py b/src/aare/gui/threads/__init__.py similarity index 100% rename from src/aaregui/widgets/__init__.py rename to src/aare/gui/threads/__init__.py diff --git a/src/aaregui/threads/axis_video_thread.py b/src/aare/gui/threads/axis_video_thread.py similarity index 100% rename from src/aaregui/threads/axis_video_thread.py rename to src/aare/gui/threads/axis_video_thread.py diff --git a/src/aaregui/threads/camera_thread.py b/src/aare/gui/threads/camera_thread.py similarity index 100% rename from src/aaregui/threads/camera_thread.py rename to src/aare/gui/threads/camera_thread.py diff --git a/src/aaregui/threads/daq_worker.py b/src/aare/gui/threads/daq_worker.py similarity index 98% rename from src/aaregui/threads/daq_worker.py rename to src/aare/gui/threads/daq_worker.py index c69a6fff..5cbbf222 100644 --- a/src/aaregui/threads/daq_worker.py +++ b/src/aare/gui/threads/daq_worker.py @@ -7,13 +7,13 @@ from PySide6.QtCore import Signal, QUrl, Slot, QTimer, QObject, QByteArray from PySide6.QtNetwork import QNetworkAccessManager, QNetworkRequest, QNetworkReply from jfjoch_client import ScanResult, ScanResultImagesInner -from aaredaqlib.coordinate import SmargonCoordinate, Coordinate -from aaredaqlib.models import DAQStatusModel, SampleShortInfoList, SampleShortInfo, SampleCameraSettings, \ +from aare.common.coordinate import SmargonCoordinate, Coordinate +from aare.common.models import DAQStatusModel, SampleShortInfoList, SampleShortInfo, SampleCameraSettings, \ AutofocusSettings, SimpleScanParameters, FluorescenceSpectrumParameterModel, FluorescenceSpectrumOutputModel -from aaredaqlib.raster_grid import RasterGridRequest, CompletedRasterGrid -from aaredaqlib.rotation_scan import RotationScanRequest, CompletedRotationScan +from aare.common.raster_grid import RasterGridRequest, CompletedRasterGrid +from aare.common.rotation_scan import RotationScanRequest, CompletedRotationScan -from aaredaqlib.logger_config import setup_logger +from aare.common.logger_config import setup_logger logger = setup_logger("aareGUI") diff --git a/src/aaregui/threads/jfjoch_viewer.py b/src/aare/gui/threads/jfjoch_viewer.py similarity index 100% rename from src/aaregui/threads/jfjoch_viewer.py rename to src/aare/gui/threads/jfjoch_viewer.py diff --git a/src/aaregui/threads/sse_client.py b/src/aare/gui/threads/sse_client.py similarity index 99% rename from src/aaregui/threads/sse_client.py rename to src/aare/gui/threads/sse_client.py index 50d9124f..86906fae 100644 --- a/src/aaregui/threads/sse_client.py +++ b/src/aare/gui/threads/sse_client.py @@ -1,7 +1,5 @@ from PySide6.QtCore import QObject, Signal, Slot -from aaredaqlib.models import SampleShortInfoList - class SSEClient(QObject): # Signals diff --git a/src/aare/gui/widgets/__init__.py b/src/aare/gui/widgets/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/src/aaregui/widgets/button_with_payload.py b/src/aare/gui/widgets/button_with_payload.py similarity index 100% rename from src/aaregui/widgets/button_with_payload.py rename to src/aare/gui/widgets/button_with_payload.py diff --git a/src/aaregui/widgets/camera_image.py b/src/aare/gui/widgets/camera_image.py similarity index 98% rename from src/aaregui/widgets/camera_image.py rename to src/aare/gui/widgets/camera_image.py index 54342405..f312d665 100644 --- a/src/aaregui/widgets/camera_image.py +++ b/src/aare/gui/widgets/camera_image.py @@ -22,13 +22,13 @@ from PySide6.QtWidgets import ( QFrame, ) -from aaredaqlib.models import DAQStatusModel, AutofocusSettings, SampleCameraSettings, BeamlineStateEnum, \ +from aare.common.models import DAQStatusModel, AutofocusSettings, SampleCameraSettings, BeamlineStateEnum, \ SessionsStateEnum -from aaregui.models.bookmark import SmargonBookmarkList -from aaredaqlib.coordinate import Coordinate, SmargonCoordinate -from aaredaqlib.sample_geometry import SampleGeometryModel -from aaregui.scan_logic.raster_grid_manager import RasterGridManager -from aaredaqlib.logger_config import setup_logger +from aare.gui.models.bookmark import SmargonBookmarkList +from aare.common.coordinate import Coordinate, SmargonCoordinate +from aare.common.sample_geometry import SampleGeometryModel +from aare.gui.scan_logic import RasterGridManager +from aare.common.logger_config import setup_logger logger = setup_logger("aareGUI") diff --git a/src/aaregui/widgets/clickable_label.py b/src/aare/gui/widgets/clickable_label.py similarity index 100% rename from src/aaregui/widgets/clickable_label.py rename to src/aare/gui/widgets/clickable_label.py diff --git a/src/aaregui/widgets/login.py b/src/aare/gui/widgets/login.py similarity index 98% rename from src/aaregui/widgets/login.py rename to src/aare/gui/widgets/login.py index 4712f5a2..d75d983a 100644 --- a/src/aaregui/widgets/login.py +++ b/src/aare/gui/widgets/login.py @@ -8,7 +8,7 @@ from PySide6.QtWidgets import ( QDialog, QVBoxLayout, QLineEdit, QPushButton, QLabel, QHBoxLayout ) -from aaredaqlib.models import TokenData +from aare.common.models import TokenData class LoginDialog(QDialog): diff --git a/src/aaregui/widgets/message_box.py b/src/aare/gui/widgets/message_box.py similarity index 98% rename from src/aaregui/widgets/message_box.py rename to src/aare/gui/widgets/message_box.py index a8134a20..02d8ae01 100644 --- a/src/aaregui/widgets/message_box.py +++ b/src/aare/gui/widgets/message_box.py @@ -1,6 +1,6 @@ from PySide6.QtCore import QTimer, QEventLoop from PySide6.QtWidgets import QMessageBox -from aaredaqlib.logger_config import setup_logger +from aare.common.logger_config import setup_logger logger = setup_logger("aareGUI") diff --git a/src/aaregui/widgets/no_wheel_scroll_area.py b/src/aare/gui/widgets/no_wheel_scroll_area.py similarity index 100% rename from src/aaregui/widgets/no_wheel_scroll_area.py rename to src/aare/gui/widgets/no_wheel_scroll_area.py diff --git a/src/aaregui/widgets/number_line_edit.py b/src/aare/gui/widgets/number_line_edit.py similarity index 100% rename from src/aaregui/widgets/number_line_edit.py rename to src/aare/gui/widgets/number_line_edit.py diff --git a/src/aaregui/widgets/pgroup_dialog.py b/src/aare/gui/widgets/pgroup_dialog.py similarity index 100% rename from src/aaregui/widgets/pgroup_dialog.py rename to src/aare/gui/widgets/pgroup_dialog.py diff --git a/src/aaregui/widgets/raster_grid_table.py b/src/aare/gui/widgets/raster_grid_table.py similarity index 97% rename from src/aaregui/widgets/raster_grid_table.py rename to src/aare/gui/widgets/raster_grid_table.py index 3f12ce66..f24909de 100644 --- a/src/aaregui/widgets/raster_grid_table.py +++ b/src/aare/gui/widgets/raster_grid_table.py @@ -1,8 +1,7 @@ from PySide6.QtCore import Signal, Slot from PySide6.QtWidgets import QTableWidget, QHeaderView, QTableWidgetItem, QWidget, QHBoxLayout, QPushButton -from aaredaqlib.raster_grid import RasterGridRequest -from aaregui.scan_logic.raster_grid_manager import RasterGridManager +from aare.gui.scan_logic import RasterGridManager class RasterGridTable(QTableWidget): diff --git a/src/aaregui/widgets/status_bar.py b/src/aare/gui/widgets/status_bar.py similarity index 97% rename from src/aaregui/widgets/status_bar.py rename to src/aare/gui/widgets/status_bar.py index 4fc1ca07..2075de40 100644 --- a/src/aaregui/widgets/status_bar.py +++ b/src/aare/gui/widgets/status_bar.py @@ -1,13 +1,13 @@ from PySide6.QtCore import Signal, Slot, QPoint, QTimer from PySide6.QtGui import QFont -from PySide6.QtWidgets import QStatusBar, QDialog, QMenu, QLabel, QMessageBox +from PySide6.QtWidgets import QStatusBar, QDialog, QMenu, QMessageBox -from aaredaqlib.models import TokenData, BeamlineStateEnum, DAQStatusModel, SessionsStateEnum -from aaregui.widgets.clickable_label import ClickableLabel -from aaregui.widgets.pgroup_dialog import PGroupDialog -from aaregui.widgets.value_label import ValueLabel +from aare.common.models import TokenData, BeamlineStateEnum, DAQStatusModel, SessionsStateEnum +from aare.gui.widgets.clickable_label import ClickableLabel +from aare.gui.widgets.pgroup_dialog import PGroupDialog +from aare.gui.widgets.value_label import ValueLabel -from aaredaqlib.logger_config import setup_logger +from aare.common.logger_config import setup_logger logger = setup_logger("aareGUI") diff --git a/src/aaregui/widgets/status_label.py b/src/aare/gui/widgets/status_label.py similarity index 100% rename from src/aaregui/widgets/status_label.py rename to src/aare/gui/widgets/status_label.py diff --git a/src/aaregui/widgets/title_label.py b/src/aare/gui/widgets/title_label.py similarity index 100% rename from src/aaregui/widgets/title_label.py rename to src/aare/gui/widgets/title_label.py diff --git a/src/aaregui/widgets/value_label.py b/src/aare/gui/widgets/value_label.py similarity index 100% rename from src/aaregui/widgets/value_label.py rename to src/aare/gui/widgets/value_label.py diff --git a/src/aaregui/widgets/video_image.py b/src/aare/gui/widgets/video_image.py similarity index 100% rename from src/aaregui/widgets/video_image.py rename to src/aare/gui/widgets/video_image.py From 0044b782aea40516d14681bdd9f0f064d6925ea0 Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Thu, 15 Jan 2026 15:21:32 +0100 Subject: [PATCH 008/144] Restructure --- src/aare/daq/auth.py | 2 +- src/aare/daq/daq.py | 427 ++++---------------------------------- src/aare/daq/devices.py | 377 +++++++++++---------------------- src/aare/daq/server.py | 6 +- src/aare/daq/workflows.py | 285 ++----------------------- 5 files changed, 191 insertions(+), 906 deletions(-) diff --git a/src/aare/daq/auth.py b/src/aare/daq/auth.py index fa10e467..a72dd5e5 100644 --- a/src/aare/daq/auth.py +++ b/src/aare/daq/auth.py @@ -9,7 +9,7 @@ from fastapi import HTTPException, status from fastapi.security import OAuth2PasswordRequestForm from pydantic import BaseModel -from aare.aaredaq.config import BeamlineConfig +from aare.daq.config import BeamlineConfig if os.environ.get("JWT_AAREDAQ_KEY") is None: raise Exception("JWT_AAREDAQ_KEY environment variable not set, cannot guarantee safe authentication.") diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index b7dd572b..39e32a0b 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -1,6 +1,7 @@ import copy import secrets import time +from copy import deepcopy from datetime import datetime from math import ceil from typing import List, Tuple, Optional @@ -10,13 +11,13 @@ import numpy as np import redis import aare.common.face_detection as fd -from aare.aaredaq import workflows -from aare.aaredaq.aaredb import AareWrapper -from aare.aaredaq.autofocus import calculate_focus_measure -from aare.aaredaq.config import BeamlineConfig, ABR_POS_MOUNT -from aare.aaredaq.config import BeamlineStateEnum -from aare.aaredaq.devices import BeamlineDevices -from aare.aaredaq.mlbox import MlBox +from aare.daq import workflows +from aare.daq.aaredb import AareWrapper +from aare.daq.autofocus import calculate_focus_measure +from aare.daq.config import BeamlineConfig, aerotech_pos_MOUNT +from aare.daq.config import BeamlineStateEnum +from aare.daq.devices import BeamlineDevices +from aare.daq.mlbox import MlBox from aare.common.beamline import MXBeamline from aare.common.coordinate import Coordinate, SmargonCoordinate from aare.common.diffraction_geometry import DiffractionGeometry @@ -195,13 +196,13 @@ class AareDAQ: @property def omega(self) -> float: - return self.__devs.aerotech.omega + return self.__devs.aerotech_omega def __omega(self, val: float): self.__saved_box = None if -2000 < val < 2000: try: - self.__devs.aerotech.move(val, wait=True, speed=180.0, direct=True) + self.__devs.aerotech_omega = val self.__cfg.state_busy = False except Exception as e: logger.error(f"Omega error: {e}") @@ -219,7 +220,7 @@ class AareDAQ: def omega_rel(self, val: float): self.__cfg.set_busy(BeamlineStateEnum.SampleAlignment) - curr_omega = self.__devs.aerotech.omega + curr_omega = self.__devs.aerotech_omega self.__omega(curr_omega + val) @property @@ -230,15 +231,14 @@ class AareDAQ: def zoom(self, val: float): self.__saved_box = None self.__devs.zoom = val - print(f"{self.__cfg.state}") + if self.__cfg.state == BeamlineStateEnum.BeamLocation: self.__cfg.zoom_mode = ZoomModeEnum.BeamLocation else: self.__cfg.zoom_mode = ZoomModeEnum.User zoom_settings = self.__cfg.zoom_settings.get_camera_settings(val) - print(f"Setting zoom {val} {zoom_settings}") + self.samcam_settings = zoom_settings - #elf.__cfg.state_busy = False @property def light(self) -> float: @@ -260,9 +260,7 @@ class AareDAQ: def sample(self) -> SampleShortInfo | None: if self.__cfg.current_sample is not None and self.__cfg.current_sample.location is None: return self.__cfg.current_sample - if self.__devs.tell.get_mounted_sample() is None: - return None - return self.__cfg.current_sample + return None @property def samcam_settings(self) -> SampleCameraSettings: @@ -272,34 +270,12 @@ class AareDAQ: def samcam_settings(self, s: SampleCameraSettings): self.__devs.samcam_settings = s - def autofocus(self, f: AutofocusSettings): - pos = self.__cfg.abr_meas_pos - - z_min = pos.z - f.z_range_um / 2.0 - z_max = pos.z + f.z_range_um / 2.0 - - measures = [] - - for i in range(f.z_steps): - pos.z = z_min + i * (z_max - z_min) / f.z_steps - self.__devs.abr_pos = pos - self.__devs.sample_cam.get_single_image() - image = self.__devs.sample_cam.get_image(gray=True) - val = calculate_focus_measure(image, f.center_x_pxl, f.center_y_pxl, f.radius_pxl) - measures.append((pos.z, val)) - best_pos, _ = max(measures, key=lambda x: x[1]) - - pos.z = best_pos - self.__devs.abr_pos = pos - self.__cfg.abr_meas_pos = pos - self.__devs.sample_cam.collect_auto() - def tweak_abr_meas_pos(self, c: Coordinate): self.__cfg.set_busy(BeamlineStateEnum.SampleAlignment) try: new_meas_pos = self.__cfg.abr_meas_pos + c self.__cfg.abr_meas_pos = new_meas_pos - self.__devs.abr_pos = new_meas_pos + self.__devs.aerotech_pos = new_meas_pos self.__saved_box = None self.__cfg.state_busy = False except: @@ -309,7 +285,7 @@ class AareDAQ: def save_abr_meas_pos(self): self.__cfg.set_busy(BeamlineStateEnum.SampleAlignment) try: - self.__cfg.abr_meas_pos = self.__devs.abr_pos + self.__cfg.abr_meas_pos = self.__devs.aerotech_pos self.__cfg.state_busy = False except: self.__cfg.state_busy = False @@ -318,7 +294,7 @@ class AareDAQ: def goto_abr_meas_pos(self): self.__cfg.set_busy(BeamlineStateEnum.SampleAlignment) try: - self.__devs.abr_pos = self.__cfg.abr_meas_pos + self.__devs.aerotech_pos = self.__cfg.abr_meas_pos self.__cfg.state_busy = False except: self.__cfg.state_busy = False @@ -364,110 +340,8 @@ class AareDAQ: raise MountingFailed(f"{mount_error}") def __mount(self, target: SampleShortInfo | None): - self.__set_state(BeamlineStateEnum.RobotSampleExchange) - self.__saved_box = None - logger.info("Moving smargon to home") - self.__devs.smargon.move_home(wait=True) - logger.info("moving aerotech to mount position") - self.__devs.abr_pos = ABR_POS_MOUNT - time.sleep(0.1) - logger.info("checking beamstop") - if self.__devs.bsz.value < 24.0: - raise Exception("Beamstop Z below 24.0 mm - potentially unsafe with mounting") - logger.info(f"Checking magnet postion sensor positon: {self.__devs.magnet_position_sensor_readout.value}") - logger.info(f"Checking smargon position: {self.__devs.smargon.readback}") - logger.info(f"Checking abr position: {self.__devs.abr_pos}") - if self.__devs.magnet_position_sensor.value != 0: - time.sleep(1) - logger.warning("!!!!!!!!!!!!!!!!!!!!!MAGNET CONTROLLER BROKE AGAIN!!!!!!!!!!!!!!!!!!") - logger.debug(f"Checking magnet position sensor positon: {self.__devs.magnet_position_sensor_readout.value}") - logger.debug(f"Checking smargon position: {self.__devs.smargon.readback}") - logger.debug(f"Checking abr position: {self.__devs.abr_pos}") - if self.__devs.magnet_position_sensor.value != 0: - start = time.time() - end = start + 360 - while self.__devs.magnet_position_sensor.value != 0: - time.sleep(1) - logger.debug(f"Checking magnet position sensor positon: {self.__devs.magnet_position_sensor_readout.value}") - logger.debug(f"Checking smargon position: {self.__devs.smargon.readback}") - logger.debug(f"Checking abr position: {self.__devs.abr_pos}") - if time.time() > end: - raise Exception(f"Magnet position sensor is not in position: {self.__devs.magnet_position_sensor_readout.value}") - - #Reenable TELL after doors locked - logger.info("enable tell motion after doors locked") - self.__devs.tell.check_enable_motion() - logger.info("Waiting for tell to be ready") - self.__devs.tell.wait_ready() - self.__devs.tell.wait_mount_complete() - - logger.debug("Moving tell to mount position") - self.__devs.tell.set_in_mount_position(True) - curr_sample = self.__cfg.current_sample - - if curr_sample is not None and curr_sample.location is None: - logger.info(f"Unmounting current sample") - # TODO: Smarter way to know manual sample has be removed from goniometer - self.__aare.sample_unmounted(curr_sample) - self.__cfg.current_sample = None - elif target is None: - logger.info(f"Moving tell to unmount with no target") - self.__devs.tell.unmount(wait=True, timeout=360) - self.__aare.sample_unmounted(curr_sample) - self.__cfg.current_sample = None - else: - # reset zoom - self.zoom = 1 - # mount sample - self.__aare.sample_unmounted(curr_sample) - logger.info(f"Moving tell to mount") - value = self.__devs.tell.mount( - address=target.tell_address(), - force=True, - auto_unmount=True, - read_dm=False, - wait=True, - timeout=360, - ) - logger.debug(f"Post tell mount, pre db input") - if value is not None: - if value == "No Pin in Gripper": - mount_error = "No sample was detected in gripper" - logger.error(mount_error) - self.__aare.sample_failed(target, failed_comment = mount_error) - self.__mount_failure_handler(mount_error=mount_error) - self.__cfg.current_sample = None - logger.debug(f"setting current sample to None as previous unmount succeeded but mount failed") - raise MountingFailed(f"{mount_error}: drying gripper {target.sample_name} {target.location} {target.pin}") - elif value == "dry": - logger.info("Robot is drying") - else: - logger.info(f"Event detected from robot: {value}") - - mounted = self.__devs.tell.get_mounted_sample() - logger.info(f"response from tell {mounted}") - if not mounted: - mount_error = "Failed to mount target" - logger.error(f"{mount_error}: {target.db_id} {target.location} {target.pin}") - self.__aare.sample_failed(target, failed_comment = mount_error) - #self.__mount_failure_handler(mount_error=mount_error) - self.__cfg.current_sample = None - logger.debug(f"setting current sample to None but not sure if unmount succeeded") - raise MountingFailed(f"No Sample detected on smart magent: {target.sample_name} {target.location} {target.pin}") - - if target is not None: - self.__aare.sample_mounted(target) - logger.info(f"Target mounted: {target.db_id} {target.location} {target.pin}") - self.__cfg.failed_mount_count = 0 - self.save_screenshot_db(target.db_id, f"sample_mounted") - else: - self.__cfg.failed_mount_count = 0 - logger.info(f"Target is None: {target}") - self.__cfg.current_sample = target - - - # TODO: Need to know if dry needs to happen - + pass + @sample.setter def sample(self, target: SampleShortInfo | None): # This will set internally state to SampleExchange, but will return to SampleAlignment @@ -524,16 +398,16 @@ class AareDAQ: @property def camera_image(self) -> np.ndarray | None: - image = self.__devs.sample_cam.get_image(gray=False) + image = self.__devs.samcam_get_image(gray=False) return image @property def camera_image_gray(self) -> np.ndarray | None: - image = self.__devs.sample_cam.get_image(gray=True) + image = self.__devs.samcam_get_image(gray=True) return image def list_loaded_pucks(self) -> List[PuckLoadedInfo]: - return self.__devs.tell.get_detected_pucks() + return [] def __auto_center(self, grid: RasterGridRequest) -> CompletedRasterGrid | None: @@ -547,7 +421,7 @@ class AareDAQ: r = self.__ml_bounding_box(sample.db_id, f"ml_{geom.omega_deg:.2f}deg") if r is None: - self.__devs.aerotech.move(geom.omega_deg + 90.0, wait=True) + self.__devs.aerotech_omega = geom.omega_deg + 90.0 time.sleep(0.2) r = self.__ml_bounding_box(sample.db_id, f"ml_{geom.omega_deg + 90.0:.2f}deg") @@ -561,7 +435,7 @@ class AareDAQ: grid.omega_deg = geom.omega_deg res1 = self.__raster(grid) grid.omega_deg += 90 - self.__devs.aerotech.move(grid.omega_deg, wait=True) + self.__devs.aerotech_omega = grid.omega_deg grid.n_x = 1 #TODO generate y scan rather than had code for 1x50 @@ -580,118 +454,7 @@ class AareDAQ: def __raster(self, r: RasterGridRequest) -> CompletedRasterGridElem: - #TODO more sensible max_time adding, for large gridscans may fail. - max_time = r.exp_time_s * r.n_y * r.n_x + 60 - - if r.dtz is not None: - self.__cfg.dtz = r.dtz - - self.__set_state(BeamlineStateEnum.DataCollection) - - save_smargon_position = self.__devs.smargon.readback - if r.smargon_top_left is not None: - delta_mm = self.sample_geometry.smargon_nudge(Coordinate(x=r.grid_size_mm.x / 2, y=r.grid_size_mm.y / 2)) - - self.__devs.smargon.target = SmargonCoordinate(sh_mm=r.smargon_top_left.sh_mm + delta_mm, - phi_deg=r.smargon_top_left.phi_deg, - chi_deg=r.smargon_top_left.chi_deg) - if r.transmission is not None: - self.__devs.transmission.set(r.transmission, wait=False) - self.__devs.aerotech.move(r.omega_deg, wait=True, speed=360.0) - self.__devs.transmission.wait() - self.__devs.smargon.wait() - - status = self.status - logger.info(f"raster status: {status}") - logger.info(f"raster grid request: {r}") - self.__jfjoch.measure_raster(r, status) - self.__aare.create_gridscan_run(self.sample, r, status) - - if self.sample is not None and self.sample.db_id is not None: - self.save_screenshot_db(self.sample.db_id, "before_raster") - - if r.n_x == 1: - self.__devs.aerotech.measure_vertical_line(r.exp_time_s, r.grid_size_mm.y, r.n_y) - else: - self.__devs.aerotech.measure_raster_simple( - r.exp_time_s, r.grid_size_mm.x, r.grid_size_mm.y, r.n_x, r.n_y - ) - self.__devs.aerotech.wait_scan_done(max_time) - self.__devs.aerotech.reset() - self.__devs.abr_pos = self.__cfg.abr_meas_pos - result = self.__jfjoch.wait_till_done(60) - - images = result.images - - result_array = create_quality_filtered_array(images, - 'spots_low_res', min_spots=None, - min_efficiency=1.0, min_background=None, - min_low_res_spots=None) - - #if not has_sufficient_low_res_spots(result_array, self.MIN_SPOTS_LOW_RES_THRESHOLD): - # logger.error("Auto X-ray centering failed: insufficient low-resolution spots " - # f"(threshold={self.MIN_SPOTS_LOW_RES_THRESHOLD})") - # self.__aare.ingest_gridscan(sample=self.sample, raster_result=result, - # raster_request=r, geom=self.sample_geometry, - # com=None, beam_mark_pxl=self.__cfg.get_beam_mark(self.zoom)) - # raise AXCFailed("Auto X-ray centering failed: insufficient low-resolution spots") - - self.__cfg.crystal_size = get_xtal_size(self.__cfg.crystal_size, result_array, r) - com = raster_centre_of_mass(result_array, images) - if com is None: - logger.debug(f"using old method as COM is disabled") - com = identify_crystal_raster(result, r) - if com: - com_mm = com.get_com_mm(r) - grid_mm_x = com_mm.x - grid_mm_y = com_mm.y - else: - grid_mm_x = None - grid_mm_y = None - - if grid_mm_x or grid_mm_y: - - new_delta_mm = self.sample_geometry.smargon_nudge(Coordinate(x=grid_mm_x, y=grid_mm_y)) - - if r.n_x != 1: - result_list = get_result_list_from_com(images, com) - self.__cfg.last_best_b_factor = get_best_b_factor(result_list) - self.__cfg.last_best_res = get_best_res(result_list) - logger.debug(f"b_factor: {self.__cfg.last_best_b_factor}, best_res: {self.__cfg.last_best_res}") - - else: - new_delta_mm = None - - if new_delta_mm is not None: - if r.smargon_top_left: - new_target = r.smargon_top_left - else: - new_target = save_smargon_position - - logger.debug(f'moving SMARGON to target new delta mm {new_target.sh_mm + new_delta_mm} mm') - self.__devs.smargon.target = SmargonCoordinate(sh_mm=new_target.sh_mm + new_delta_mm, - phi_deg=new_target.phi_deg, - chi_deg=new_target.chi_deg) - else: - logger.error("Auto finding optimal image failed. Using previous position.") - self.__devs.smargon.target = save_smargon_position - - if self.sample is not None and self.sample.db_id is not None and result is not None: - self.__devs.reflector_up = True - time.sleep(0.1) - self.save_screenshot_db(self.sample.db_id, f"post_raster_{r.omega_deg}deg") - if com and hasattr(com, "max_image"): - diffraction_image_filename = f"{self.sample.db_id}_best_diffraction_from_raster_image_{com.max_image}" - diffraction_image = self.__jfjoch.get_diffraction_image(com.max_image) - self.__aare.upload_jpg(self.sample.db_id, diffraction_image_filename, diffraction_image) - try: - self.__aare.ingest_gridscan(sample = self.sample, raster_result =result, - raster_request = r, geom = self.sample_geometry, - com = com, beam_mark_pxl=self.__cfg.get_beam_mark(self.zoom)) - except Exception as e: - logger.error(f"Exception ingesting grid scan: {e}") - self.__devs.reflector_up = False - return CompletedRasterGridElem(request=copy.deepcopy(r), result=result, centre_of_mass=com) + return None def measure_raster(self, r: RasterGridRequest, auto: bool) -> CompletedRasterGrid: self.__cfg.try_set_busy(timeout=ceil(360)) @@ -714,76 +477,7 @@ class AareDAQ: raise e def __rotation(self, request: RotationScanRequest) -> CompletedRotationScan: - if request.dtz is not None: - logger.info(f'requesting dtz to move to {request.dtz}') - self.__cfg.dtz = request.dtz - if self.sample is not None and self.sample.db_id is not None: - self.save_screenshot_db(self.sample.db_id, f"pre_rotation{self.sample.db_id}_{self.__devs.zoom}") - self.__set_state(BeamlineStateEnum.DataCollection) - - if request.transmission is not None: - logger.info(f'requesting transmission to move to {request.transmission}') - self.__devs.transmission.set(request.transmission, wait=False) - - if request.start is not None: - self.__devs.smargon.target = request.start - - omega_start = self.omega - - self.__devs.transmission.wait() - if request.start is not None: - self.__devs.smargon.wait() - - status = self.status - self.__jfjoch.measure_rotation(request, status, self.__cfg.xrf) - self.__aare.create_rotation_run(self.sample, request, status) - - if self.sample is not None and self.sample.db_id is not None: - self.save_screenshot_db(self.sample.db_id, "before_dc") - - if request.screening: - self.__devs.aerotech.measure_screening(request.start_omega_deg, - request.wedge_omega_deg, - request.exp_time_s, - request.incr_omega_deg, - request.steps) - self.__devs.aerotech.wait_scan_done(request.exp_time_s * request.steps + 60) - else: - - total_omega = request.incr_omega_deg * request.steps - total_time = request.exp_time_s * request.steps - - self.__devs.aerotech.measure_standard( - request.start_omega_deg, total_omega, total_time - ) - - if request.start is not None and request.end is not None: - smargon_time_step = request.time_sec / float(request.steps) - pos_step = (request.end.sh_mm - request.start.sh_mm) * (1.0 / float(request.steps)) - - for i in range(request.steps): - self.__devs.smargon.target = SmargonCoordinate( - sh_mm=request.start.sh_mm + pos_step * i - ) - time.sleep(smargon_time_step) - - self.__devs.aerotech.wait_scan_done(total_time + 60) - - self.__devs.aerotech.reset() - self.__devs.aerotech.move(omega_start, wait=False, speed=180.0, direct=True) - result = self.__jfjoch.wait_till_done(60) - self.__aare.sample_collected(self.sample) - self.__devs.aerotech.move(omega_start, wait=True, speed=180.0, direct=True) - - if self.sample is not None and self.sample.db_id is not None: - self.save_screenshot_db(self.sample.db_id, "after_dc") - try: - self.__aare.ingest_scan(sample=self.sample, result=result, - geom=self.sample_geometry, beam_mark_pxl=self.__cfg.get_beam_mark(self.zoom)) - - except Exception as e: - logger.error(f"Exception ingesting scan: {e}") - return CompletedRotationScan(request=copy.deepcopy(request), result=result) + return None def measure_rotation(self, request: RotationScanRequest) -> CompletedRotationScan: total_time = request.exp_time_s * request.steps @@ -813,9 +507,9 @@ class AareDAQ: exposure = zoom_settings[zoom_value].exposure gain = zoom_settings[zoom_value].gain self.__devs.samcam_settings = SampleCameraSettings(exposure=exposure, gain=gain) - self.__devs.zoom_sync(zoom_value) + self.__devs.set_zoom(zoom_value, wait=True) time.sleep(5.0) # Wait for settings to stabilize - image = self.__devs.sample_cam.get_image(gray=False) + image = self.__devs.samcam_get_image(gray=False) self.__cfg.put_alc_bkg(zoom_value, exposure, gain, image) bgr_array = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) cv2.imwrite(f"bkg{zoom_value:.0f}_{exposure*1000:.0f}_{gain:.0f}.jpg", bgr_array) @@ -846,21 +540,21 @@ class AareDAQ: self.__cfg.state_busy = False raise RuntimeError("Cannot set dtz during data collection") elif state == BeamlineStateEnum.SampleAlignment: - self.__devs.dtz.move(val, wait=False) + self.__devs.set_dtz(val, wait=False) self.__cfg.dtz = val self.__cfg.state_busy = False @property def smargon(self) -> SmargonCoordinate: - return self.__devs.smargon.readback + return self.__devs.smargon_pos @smargon.setter def smargon(self, sc: SmargonCoordinate): self.__cfg.set_busy(BeamlineStateEnum.SampleAlignment) try: self.__saved_box = None - self.__devs.smargon.target = sc - self.__devs.smargon.wait() + self.__devs.smargon_pos = sc + self.__devs.smargon_wait() self.__cfg.state_busy = False except Exception as e: self.__cfg.state_busy = False @@ -884,48 +578,18 @@ class AareDAQ: @property def sample_geometry(self) -> SampleGeometryModel: zoom = self.__devs.zoom - abr_pos = self.__cfg.abr_meas_pos - try: - aerotech_coord = Coordinate( - x=self.__devs.gmx.value - abr_pos.x, - y=self.__devs.gmy.value - abr_pos.y, - z=self.__devs.gmz.value - abr_pos.z, - ) - sample_geom = SampleGeometryModel( - beam_location_pxl=self.__cfg.beam_mark_coeff.apply(zoom), - pixel_in_mm=self.__cfg.pixel_to_mm(zoom), - omega_deg=self.__devs.aerotech.omega, - smargon=self.__devs.smargon.readback, - beam_size_mm=self.__cfg.beam_size_mm, - aerotech=aerotech_coord, - aerotech_meas=self.__devs.abr_pos - ) - return sample_geom - - except Exception as e: - - try: - test_x = self.__devs.gmx.value - abr_pos.x - print(f"Error creating sample geometry model: {e}") - print(f"Error not ABR, check smargon then restart server") - raise Exception(f"Error getting sample geometry {e}") - - except: - print(f"Error getting sample geometry: {e}") - print(f"!!!!! ABR MAY HAVE DISCONNECTED !!!!!") - print(f"!!!!! CHECK ABR EPICS PANEL FOR ERRORS!!!!!") - print("!!!!! IF NOT RESTART GUI !!!!!") - print("CLOSING EXPERIMENTAL HUCTH FOR SAFETY") - self.__devs.exp_shutter.close() - return SampleGeometryModel( - beam_location_pxl=self.__cfg.beam_mark_coeff.apply(zoom), - pixel_in_mm=self.__cfg.pixel_to_mm(zoom), - omega_deg=self.__devs.aerotech.omega, - smargon=self.__devs.smargon.readback, - beam_size_mm=self.__cfg.beam_size_mm, - aerotech=Coordinate(x=0.0, y=0.0, z=0.0), - aerotech_meas=self.__devs.abr_pos - ) + aerotech_pos_ref = self.__cfg.abr_meas_pos + aerotech_coord = self.__devs.aerotech_pos - aerotech_pos_ref + sample_geom = SampleGeometryModel( + beam_location_pxl=self.__cfg.beam_mark_coeff.apply(zoom), + pixel_in_mm=self.__cfg.pixel_to_mm(zoom), + omega_deg=self.__devs.aerotech_omega, + smargon=self.__devs.smargon_pos, + beam_size_mm=self.__cfg.beam_size_mm, + aerotech=aerotech_coord, + aerotech_meas=self.__devs.aerotech_pos + ) + return sample_geom @property def beam_center(self) -> Tuple[float, float]: @@ -946,9 +610,6 @@ class AareDAQ: def get_beam_mark(self): return self.__cfg.get_beam_mark(self.__devs.zoom) - def listen_changes(self) -> redis.client.PubSub: - return self.__cfg.listen_changes() - def __ml_bounding_box(self, sample_id: int | None = None, filename: str | None = None) -> RasterGridRequest | None: time.sleep(0.2) # Just to be sure image is stable #curr_image = self.camera_image diff --git a/src/aare/daq/devices.py b/src/aare/daq/devices.py index 31e7420b..044b2162 100644 --- a/src/aare/daq/devices.py +++ b/src/aare/daq/devices.py @@ -1,351 +1,214 @@ +# Abstractions of devices for beamline + +# Each "standard" device needs three elements: +# - property to read device value +# - setter with option to do sync/async move +# - property setter, which assumes that sync move is done (excl. zoom, which is async by default) + import time +import numpy as np from epics import PV from aare.common.beamline import MXBeamline -from aare.common.coordinate import Coordinate +from aare.common.coordinate import Coordinate, SmargonCoordinate from aare.common.models import SampleCameraSettings, StagePositionEnum -from aare.devices import smargon, aerotech +from aare.devices import smargon from aare.devices.area_detector import epicsAD -from aare.devices.enum_pv import EnumPv -from aare.devices.filter_transmission import FilterTransmission -from aare.devices.fluorimeter import Fluorimeter -from aare.devices.experimental_hutch_shutter import ExperimentalHutchShutter from aare.devices.my_motor import MyMotor -from aare.devices.non_standard import NonStandard -from aare.devices.tell_client import TellClient -from aare.devices.workflow_tools import wait_position + class BeamlineDevices: def __init__(self, beamline: MXBeamline): - #service_config = ServiceConfig(redis={"host": "x06da-bec-001.psi.ch", "port": 6379}) - #client = BECClient(service_config, name="Filips-Custom-Client") - #client.start() - - #self.__bec_dev = client.device_manager.devices - #self.__bec_scans = client.scans - BEAMLINE = beamline.value.upper() - self.tell = TellClient(beamline) - self.smargon = smargon.Smargon(beamline) - - self.__energy_pv = PV(f"{BEAMLINE}-OP-DCCM:ENERGY1") + self.__smargon = smargon.Smargon(beamline) self.__ring_current_pv = PV(f"ARS07-DPCT-0100:CURR") - self.__cryojet_temp = PV(f"{BEAMLINE}-ES-CRSM:TEMP_RBV") - - self.magnet_position_sensor = PV(f"{BEAMLINE}-ES-DF1:CBOX-CMP1") - self.magnet_position_sensor_readout = PV(f"{BEAMLINE}-ES-DF1:CBOX-USER1") - - self.dtz = MyMotor(f"{BEAMLINE}-ES-DET:TRZ1") - - # self.dty = MyMotor(f"{BEAMLINE}-MOCK-DET:TRY1") - - self.bsz = MyMotor(f"{BEAMLINE}-ES-BS:TRZ1") - - self.bsx = MyMotor(f"{BEAMLINE}-ES-BS:TRX1") - self.bsy = MyMotor(f"{BEAMLINE}-ES-BS:TRY1") - - self.__bpm = PV(f"{BEAMLINE}-OP-XBPM1:SumAll:MeanValue_RBV") - self.__anneal = PV(f"{BEAMLINE}-ES-ANN:SET_POS") - - self.aerotech = aerotech.Abr(beamline) - - self.aerotech.reload_programs() - - self.gmx = NonStandard( - name="GMX", - setpv=f"{BEAMLINE}-ES-DF1:GMX-VAL", - getpv=f"{BEAMLINE}-ES-DF1:GMX-RBV", - speed=(f"{BEAMLINE}-ES-DF1:GMX-SETV", f"{BEAMLINE}-ES-DF1:GMX-SETV"), - move_done_when=(f"{BEAMLINE}-ES-DF1:GMX-DONE", 1), - ) - - self.transmission = FilterTransmission(beamline) - - self.gmy = NonStandard( - name="GMY", - setpv=f"{BEAMLINE}-ES-DF1:GMY-VAL", - getpv=f"{BEAMLINE}-ES-DF1:GMY-RBV", - speed=(f"{BEAMLINE}-ES-DF1:GMY-SETV", f"{BEAMLINE}-ES-DF1:GMY-SETV"), - move_done_when=(f"{BEAMLINE}-ES-DF1:GMY-DONE", 1), - ) - - self.gmz = NonStandard( - name="GMZ", - setpv=f"{BEAMLINE}-ES-DF1:GMZ-VAL", - getpv=f"{BEAMLINE}-ES-DF1:GMZ-RBV", - speed=(f"{BEAMLINE}-ES-DF1:GMZ-SETV", f"{BEAMLINE}-ES-DF1:GMZ-SETV"), - move_done_when=(f"{BEAMLINE}-ES-DF1:GMZ-DONE", 1), - ) - - self.__lamp_light = NonStandard( - name="FrontLight", - setpv=f"{BEAMLINE}-ES-FL:SET-BRGHT", - getpv=f"{BEAMLINE}-ES-FL:SET-BRGHT", - tolerance=0.01, - predefs={ - "on": 2.5, - "half": 1.9, - "off": 1.0, - }, - ) - - self.cryo = NonStandard( - name="CryoJet", - setpv=f"{BEAMLINE}-ES-CJ:TRX1", - getpv=f"{BEAMLINE}-ES-CJ:TRX1.RBV", - move_done_when=(f"{BEAMLINE}-ES-CJ:TRX1.DMOV", 1), - speed=(f"{BEAMLINE}-ES-CJ:TRX1.VELO", f"{BEAMLINE}-ES-CJ:TRX1.VELO"), - ) - - self.__zoom = NonStandard( - name="Zoom", - setpv=f"{BEAMLINE}-ES-SAMCAM:ZOOM.VAL", - getpv=f"{BEAMLINE}-ES-SAMCAM:ZOOM.RBV", - move_done_when=(f"{BEAMLINE}-ES-SAMCAM:ZOOM.DMOV", 1), - stoppv=(f"{BEAMLINE}-ES-SAMCAM:ZOOM.STOP", 1), - ) - - self.__shutter_rbv = PV(f"{BEAMLINE}-ES-PH1:GET") - self.__shutter = PV(f"{BEAMLINE}-ES-PH1:SET") - - self.exp_shutter = ExperimentalHutchShutter(beamline) - - # xrf_stage = EnumPv( - # { - # "name": "KetekStage", - # "pv": f"{BEAMLINE}-MOCK-FD:SET-POS", - # "readback": f"{BEAMLINE}-MOCK-FD:GET-POS", - # "states": {"park": "park", "measure": "measure"}, - # } - # ) - - self.__reflector = EnumPv( - { - "name": "BackReflector", - "pv": f"{BEAMLINE}-ES-BL:SET-POS", - "readback": f"{BEAMLINE}-ES-BL:GET-POS", - "states": { - "park": "park", - "measure": "measure", - }, - } - ) - - self.detector_cover = PV(f"{BEAMLINE}-ES-DETCOV:SET") - - self.__beamstop_stage = EnumPv( - { - "name": "Beamstop_Stage", - "pv": f"{BEAMLINE}-ES-BS:SET-POS", - "readback": f"{BEAMLINE}-ES-BS:GET-POS", - "states": { - "park": "park", - "measure": "measure", - }, - } - ) - - self.__collimator = EnumPv( - { - "name": "Collimator", - "pv": f"{BEAMLINE}-ES-COL:SET-POS", - "readback": f"{BEAMLINE}-ES-COL:GET-POS", - "states": { - "parking": "parking", - "measure": "measure", - "down": "down", - }, - } - ) - - self.__scinti = EnumPv( - { - "name": "Scintillator", - "pv": f"{BEAMLINE}-ES-SCL:SET-POS", - "readback": f"{BEAMLINE}-ES-SCL:GET-POS", - "states": { - "parking": "parking", - "measure": "measure", - "down": "down", - }, - } - ) - - self.sample_cam = epicsAD(f"{BEAMLINE}-SAMCAM:") - - self.fluorimeter = Fluorimeter(beamline) - + self.__dtz = MyMotor(f"{BEAMLINE}-ES-DET:TRZ1") + self.__sample_cam = epicsAD(f"{BEAMLINE}-SAMCAM:") +# Lamp light @property def lamp_light(self) -> float: - return self.__lamp_light.value + return 0 @lamp_light.setter def lamp_light(self, v: float): - self.__lamp_light.move(v, wait=False) + pass +# Zoom @property def zoom(self) -> float: - return self.__zoom.value + return 0 @zoom.setter def zoom(self, value: float): - self.__zoom.move(value, wait=False) - # status = self.__bec_dev.samzoom.move(value) - # status.wait() + self.set_zoom(value, wait=False) - def zoom_sync(self, value: float): - self.__zoom.move(value, wait=True) + def set_zoom(self, value: float, /, wait: bool = True): + pass +# Collimator @property def collimator(self) -> StagePositionEnum: - if self.__collimator.position_is("down"): - return StagePositionEnum.DOWN - elif self.__collimator.position_is("measure"): - return StagePositionEnum.MEASURE - elif self.__collimator.position_is("parking"): - return StagePositionEnum.PARK - else: - return StagePositionEnum.UNKNOWN + return StagePositionEnum.DOWN @collimator.setter def collimator(self, value: StagePositionEnum): self.set_collimator(value, wait=True) def set_collimator(self, value: StagePositionEnum, /, wait: bool = True): - if value == StagePositionEnum.DOWN: - self.__collimator.move("down", wait=wait) - elif value == StagePositionEnum.MEASURE: - self.__collimator.move("measure", wait=wait) - elif value == StagePositionEnum.PARK: - self.__collimator.move("parking", wait=wait) + pass +# Scintillator @property def scintillator(self) -> StagePositionEnum: - if self.__scinti.position_is("down"): - return StagePositionEnum.DOWN - elif self.__scinti.position_is("measure"): - return StagePositionEnum.MEASURE - elif self.__scinti.position_is("parking"): - return StagePositionEnum.PARK - else: - return StagePositionEnum.UNKNOWN + return StagePositionEnum.DOWN @scintillator.setter def scintillator(self, value: StagePositionEnum): self.set_scintillator(value, wait=True) def set_scintillator(self, value: StagePositionEnum, /, wait: bool = True): - if value == StagePositionEnum.DOWN: - self.__scinti.move("down", wait=wait) - elif value == StagePositionEnum.MEASURE: - self.__scinti.move("measure", wait=wait) - elif value == StagePositionEnum.PARK: - self.__scinti.move("parking", wait=wait) + pass +# Reflector (backlight?) @property def reflector_up(self) -> bool: - return bool(self.__reflector.position_is("measure")) + return False @reflector_up.setter def reflector_up(self, value: bool): - if value: - self.__reflector.move("measure", wait=True) - else: - self.__reflector.move("park", wait=True) + pass +# Beamstop @property def beamstop_stage_up(self) -> bool: - return bool(self.__beamstop_stage.position_is("measure")) + return False @beamstop_stage_up.setter def beamstop_stage_up(self, value: bool): - if value: - self.__beamstop_stage.move("measure", wait=True) - else: - self.__beamstop_stage.move("park", wait=True) + pass @property - def abr_pos(self) -> Coordinate: - return Coordinate(x=self.gmx.readback, y=self.gmy.readback, z=self.gmz.readback) + def beamstop_z(self) -> float: + return 35.0 - @abr_pos.setter - def abr_pos(self, pos: Coordinate): - self.gmx.move(pos.x, wait=True) - self.gmy.move(pos.y, wait=True) - self.gmz.move(pos.z, wait=True) - - wait_position(self.gmx, pos.x, 0.005) - wait_position(self.gmy, pos.y, 0.005) - wait_position(self.gmz, pos.z, 0.005) + @beamstop_z.setter + def beamstop_z(self, value: float): + pass +# Optics @property def energy_kev(self) -> float: - return self.__energy_pv.value + return 12.4 @property def ring_current(self) -> float: - return max(0.0, self.__ring_current_pv.value) + return max(0.0, 0.0) + @property + def flux(self) -> float: + return 0 + + @property + def full_flux(self) -> float: + return 0 + +# Cryojet @property def cryojet_temp(self) -> float: - return self.__cryojet_temp.value + return 100 - def enable_motors(self): - self.aerotech.unlock() - self.dtz.refresh() # Why ?? - self.bsz.refresh() # Why ?? - - def disable_motors(self): - self.aerotech.lock() + def anneal(self, time: float): + pass +# Shutter @property def shutter(self) -> bool: - return self.__shutter_rbv.value == 1 + return False @shutter.setter def shutter(self, opened: bool): - if opened: - self.__shutter.put(1) - else: - self.__shutter.put(0) + pass +# Sample camera @property def samcam_settings(self) -> SampleCameraSettings: return SampleCameraSettings( - gain=self.sample_cam.gain.value, - exposure=self.sample_cam.expo.value + gain=self.__sample_cam.gain.value, + exposure=self.__sample_cam.expo.value ) @samcam_settings.setter def samcam_settings(self, settings: SampleCameraSettings): - self.sample_cam.setup(settings.gain, settings.exposure) + self.__sample_cam.setup(settings.gain, settings.exposure) - @property - def flux(self) -> float: - # Very approximate value - to be changed - # 2 nA -> 4e11 ph/s - if self.transmission.get() is None: - return 0.0 - return self.transmission.get() * self.full_flux + def samcam_get_image(self, /, gray: bool = False) -> np.ndarray: + return self.__sample_cam.get_image(gray=gray) +# Detector Z @property - def full_flux(self) -> float: - # Very approximate value - to be changed - # 2 nA -> 4e11 ph/s - return self.__bpm.value / 2.0 * 4e11 + def dtz(self) -> float: + return self.__dtz.readback + + @dtz.setter + def dtz(self, value: float): + self.set_dtz(value, wait=True) + + def set_dtz(self, value: float, /, wait: bool = True): + self.__dtz.move(value, wait=wait) @property def dtz_low(self) -> float: - return self.dtz.get("LLM") + return self.__dtz.get("LLM") @property def dtz_high(self) -> float: - return self.dtz.get("HLM") + return self.__dtz.get("HLM") - def anneal(self, value: float): - self.__anneal.put(1) - time.sleep(value) - self.__anneal.put(0) +# Aertoech Automation1 + @property + def aerotech_pos(self) -> Coordinate: + return Coordinate(x=0, y=0, z=0) + + @aerotech_pos.setter + def aerotech_pos(self, pos: Coordinate): + pass + + @property + def aerotech_omega(self) -> float: + return 0.0 + + @aerotech_omega.setter + def aerotech_omega(self, val: float): + self.set_omega(val, wait=True) + + def set_aerotech_omega(self, val: float, /, wait: bool = True): + pass + + @property + def aerotech_lock(self) -> bool: + return False + + @aerotech_lock.setter + def aerotech_lock(self, val: bool): + pass + +# Smargon goniometer + @property + def smargon_pos(self) -> SmargonCoordinate: + return self.__smargon.readback + + def set_smargon_pos(self, pos: SmargonCoordinate, /, wait: bool = True): + self.__smargon.target = pos + + @smargon_pos.setter + def smargon_pos(self, pos: SmargonCoordinate): + self.set_smargon_pos(pos, wait=True) + + def smargon_wait(self): + self.__smargon.wait() + + def smargon_move_home(self): + self.__smargon.move_home(wait=True) diff --git a/src/aare/daq/server.py b/src/aare/daq/server.py index c79061bd..aea88904 100644 --- a/src/aare/daq/server.py +++ b/src/aare/daq/server.py @@ -21,10 +21,10 @@ from fastapi import status as api_status from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm from starlette.responses import StreamingResponse -from aare.aaredaq import auth +from aare.daq import auth from aare.common.beamline import mx_beamline -from aare.aaredaq.config import BeamlineConfig -from aare.aaredaq.daq import (AareDAQ, LoopCenteringFailed, TransformationInvalidException, +from aare.daq.config import BeamlineConfig +from aare.daq.daq import (AareDAQ, LoopCenteringFailed, TransformationInvalidException, MountingFailed, WarningTellException, CriticalTellException) app = FastAPI() diff --git a/src/aare/daq/workflows.py b/src/aare/daq/workflows.py index 8e740cd3..c1e4243d 100644 --- a/src/aare/daq/workflows.py +++ b/src/aare/daq/workflows.py @@ -1,16 +1,5 @@ -import time - -from epics import poll - -from aare.aaredaq.config import ABR_POS_MOUNT, ABR_OMEGA_MOUNT -from aare.aaredaq.devices import BeamlineDevices -from aare.aaredaq.config import BeamlineConfig -from aare.common.coordinate import Coordinate -from aare.common.logger_config import setup_logger -from aare.common.models import StagePositionEnum, ZoomModeEnum -from aare.devices.mx_lib import pv_wait - -logger = setup_logger("aareDAQ") +from aare.daq.devices import BeamlineDevices +from aare.daq.config import BeamlineConfig def move_bsz(devs: BeamlineDevices, target: float): if abs(target - devs.bsz.position) > 0.1: @@ -18,8 +7,7 @@ def move_bsz(devs: BeamlineDevices, target: float): reflector_measure = devs.reflector_up devs.reflector_up = False devs.beamstop_stage_up = True - - devs.bsz.move(target, wait=True) + devs.beamstop_z = target if reflector_measure: devs.reflector_up = True @@ -29,174 +17,39 @@ def move_bsz(devs: BeamlineDevices, target: float): def wait_for_dc_devices(devs: BeamlineDevices): - timeout = time.time() + 60 - timeisup = False - # devs.detector_cover.wait() - while not timeisup and ( - not devs.dtz.done_moving - ): - poll(0.1) - timeisup = timeout < time.time() - if timeisup: - if not devs.dtz.done_moving: - logger.info("DTZ still moving.") - raise RuntimeError("Timeout moving devs. Dropping to maintenance.") - + # Should wait for DTZ + pass def wait_for_se_devices(devs: BeamlineDevices, cfg: BeamlineConfig): - hub = cfg.settings - hub_cryo = cfg.cryojet_settings - - _cryo = hub_cryo.cryojet_in_use - _cryopark = hub_cryo.cryojet_park_position - - if _cryo and not devs.cryo.position_is(_cryopark): - raise RuntimeError("Cryojet did not reach far position") - + # Should wait for Cryojet go far + pass def common_2rse(devs: BeamlineDevices, cfg: BeamlineConfig): - logger.info(" moving COLLIMATOR to PARK position") - devs.collimator = StagePositionEnum.PARK - logger.info(" moving SMARGON to HOME position") - devs.smargon.move_home(wait=True) - logger.info(" moving AEROTECH to MOUNT position") - devs.aerotech.move(ABR_OMEGA_MOUNT, wait=True, direct=True) - devs.abr_pos = ABR_POS_MOUNT - logger.info(" moving REFLECTOR to DOWN position") - devs.reflector_up = False - logger.info(" LOCKING AEROTERCH") - devs.aerotech.lock() - logger.info(f" Smargon position in RSE: {devs.smargon.readback} ABS: {devs.abr_pos.x} {devs.abr_pos.y} {devs.abr_pos.z}") - + pass def m2se(devs: BeamlineDevices, cfg: BeamlineConfig): - print("executing MAINTENANCE -> sample exchange") - devs.detector_cover.put(1) # Close detector cover - - hub = cfg.settings - hub_cryo = cfg.cryojet_settings - - cfg.zoom_mode = ZoomModeEnum.User - devs.samcam_settings = cfg.zoom_settings.get_camera_settings(devs.zoom) - - devs.collimator = StagePositionEnum.PARK - devs.scintillator = StagePositionEnum.DOWN - - _dtzpark = hub.dtz_park - _cryopark = hub_cryo.cryojet_park_position - _cryo = hub_cryo.cryojet_in_use - - # devs.detector_cover.move("closed") - if not devs.aerotech.is_ready_and_willing(): - devs.aerotech.stop() - time.sleep(5.0) - raise RuntimeError("Aerotech device is not ready") - - if devs.dtz.position < _dtzpark: - devs.dtz.move(_dtzpark) - - devs.gmx.set_speed(100.0) - devs.abr_pos = ABR_POS_MOUNT - devs.aerotech.move(ABR_OMEGA_MOUNT) - - if _cryo: - devs.cryo.move(_cryopark) - - devs.reflector_up = False - - devs.bsx.move(0.0) - devs.bsy.move(0.0) - move_bsz(devs, hub.bsz) - - devs.beamstop_stage_up = False - + pass def sa2se(devs: BeamlineDevices, cfg: BeamlineConfig): - hub = cfg.settings - hub_cryo = cfg.cryojet_settings - logger.info(" moving cryojet to park position") - _cryopark = hub_cryo.cryojet_park_position - _dtzpark = hub.dtz_park - - devs.aerotech.move(ABR_OMEGA_MOUNT) - - if devs.cryo.position < _cryopark: - devs.cryo.move(_cryopark) - logger.info(" moving COLLIMATOR to DOWN position") - devs.collimator = StagePositionEnum.DOWN - logger.info(" moving REFLECTOR to DOWN position") - devs.reflector_up = False - devs.beamstop_stage_up = False - logger.info(" moving SMARGON to HOME position") - devs.smargon.move_home(wait=True) - logger.info(" moving DETECTOR COVER to DOWN position") - devs.detector_cover.put(1) # Close detector cover - if devs.dtz.position < _dtzpark: - logger.info(" moving DETECTOR to PARK position") - devs.dtz.move(_dtzpark) - + pass def sa2rse(devs: BeamlineDevices, cfg: BeamlineConfig): common_2rse(devs, cfg) - def dc2rse(devs: BeamlineDevices, cfg: BeamlineConfig): common_2rse(devs, cfg) - def se2sa(devs: BeamlineDevices, cfg: BeamlineConfig): - hub = cfg.settings - cfg.zoom_mode = ZoomModeEnum.User - devs.detector_cover.put(1) - devs.samcam_settings = cfg.zoom_settings.get_camera_settings(devs.zoom) - hub_cryo = cfg.cryojet_settings - _cryo = hub_cryo.cryojet_in_use - cryo_meas = hub_cryo.cryojet_measurement_position - _dtz_safety = hub.dtz_bsz_safety_margin - devs.aerotech.unlock() - logger.info("aerotech unlocked") - devs.aerotech.set_direct_mode() - logger.info("aerotech in direct mode") - logger.info(" moving reflector to up position") - devs.reflector_up = True - logger.info("moving beamstop to up position") - devs.beamstop_stage_up = True - logger.info(" setting lamp to 2.5") - devs.lamp_light = 2.5 - logger.info(" moving aerotech to measure position") - devs.abr_pos = cfg.abr_meas_pos - - if _cryo: - logger.info(" moving cryojet to measure position") - devs.cryo.move(cryo_meas) - logger.info("moving detector to measure position") - devs.dtz.move(cfg.dtz, wait=False) + pass def rse2sa(devs: BeamlineDevices, cfg: BeamlineConfig): se2sa(devs, cfg) def sa2dc(devs: BeamlineDevices, cfg: BeamlineConfig): - devs.detector_cover.put(2) # Open detector cover - - devs.reflector_up = False - - #devs.reflector.wait("park") - devs.beamstop_stage_up = True - devs.dtz.move(cfg.dtz, wait=True) - devs.collimator = StagePositionEnum.MEASURE - - pv_wait(devs.dtz, None, tolerance=1.0) - wait_for_dc_devices(devs) - + pass def dc2sa(devs: BeamlineDevices, cfg: BeamlineConfig): - hub = cfg.settings - devs.detector_cover.put(1) # Close detector cover - devs.collimator = StagePositionEnum.PARK - devs.reflector_up = True - - # devs.gmz.move(cfg.abr_meas_pos.z, wait=True) - + pass def sa2xrf(devs: BeamlineDevices, cfg: BeamlineConfig): """sample alignment to XrfCollection""" @@ -209,127 +62,35 @@ def xrf2sa(devs: BeamlineDevices, cfg: BeamlineConfig): def sa2ws(devs: BeamlineDevices, cfg: BeamlineConfig): - hub = cfg.settings - _dtzwash = hub.dtz_wash_sample_distance - devs.cryo.move(hub.cryojet_park_position) - - if devs.dtz.position < _dtzwash: - devs.dtz.move(_dtzwash) - - devs.reflector_up = False - devs.beamstop_stage_up = False + pass def ws2sa(devs: BeamlineDevices, cfg: BeamlineConfig): - hub = cfg.settings - hub_cryo = cfg.cryojet_settings - - cryo_meas = hub_cryo.cryojet_measurement_position - _cryo = hub_cryo.cryojet_in_use - - devs.dtz.move(cfg.dtz) - - if _cryo: - devs.cryo.move(cryo_meas) - - devs.reflector_up = True - devs.beamstop_stage_up = True + pass def sa2ba(devs: BeamlineDevices, cfg: BeamlineConfig): - hub = cfg.settings - hub_cryo = cfg.cryojet_settings - _cryopark = hub_cryo.cryojet_park_position - _cryo = hub_cryo.cryojet_in_use - - if _cryo: - devs.cryo.move(_cryopark) - - devs.gmx.move(-38.0) - devs.lamp_light = 2.5 - devs.beamstop_stage_up = True - move_bsz(devs, 0.0) + pass def ba2sa(devs: BeamlineDevices, cfg: BeamlineConfig): - hub = cfg.settings - devs.lamp_light = 2.5 - devs.beamstop_stage_up = True - move_bsz(devs, hub.bsz) - devs.reflector_up = True - devs.abr_pos = cfg.abr_meas_pos - + pass def sa2bl(devs: BeamlineDevices, cfg: BeamlineConfig): - val=1000 - devs.zoom = val - cfg.zoom_mode = ZoomModeEnum.BeamLocation - devs.detector_cover.put(1) # Close detector cover - devs.samcam_settings = cfg.zoom_settings.get_camera_settings(val) - devs.lamp_light = 2.5 - devs.abr_pos = Coordinate(x=-26, y=0, z=0) - devs.cryo.move(80) - devs.set_scintillator(StagePositionEnum.MEASURE, wait=False) - devs.set_collimator(StagePositionEnum.MEASURE, wait=False) - devs.beamstop_stage_up = True - devs.reflector_up = False - devs.scintillator = StagePositionEnum.MEASURE - devs.collimator = StagePositionEnum.MEASURE - devs.shutter = True + pass def bl2sa(devs: BeamlineDevices, cfg: BeamlineConfig): - hub = cfg.settings - hub_cryo = cfg.cryojet_settings - cryo_meas = hub_cryo.cryojet_measurement_position - _cryo = hub_cryo.cryojet_in_use - - devs.shutter = False - - devs.set_scintillator(StagePositionEnum.DOWN, wait=False) - devs.set_collimator(StagePositionEnum.PARK, wait=False) - - devs.reflector_up = True - devs.scintillator = StagePositionEnum.DOWN - devs.collimator = StagePositionEnum.PARK - - val=1 - devs.zoom = val - cfg.zoom_mode = ZoomModeEnum.User - devs.samcam_settings = cfg.zoom_settings.get_camera_settings(val) - - if _cryo: - devs.cryo.move(cryo_meas) - - devs.abr_pos = cfg.abr_meas_pos + pass def bl2ba(devs: BeamlineDevices, cfg: BeamlineConfig): - """beam location to beamstop alignment""" - devs.gmx.move(-38) - devs.reflector_up = True - # devs.shutter.move("closed") - time.sleep(0.5) - move_bsz(devs, 0) - + pass def ba2bl(devs: BeamlineDevices, cfg: BeamlineConfig): - hub = cfg.settings - move_bsz(devs, hub.bsz) - devs.abr_pos = cfg.abr_meas_pos + Coordinate(x=1) - devs.reflector_up = True - + pass def sa2dh(devs: BeamlineDevices, cfg: BeamlineConfig): - logger.info("moved to dewer transfer") - if devs.tell.get_mounted_sample() is not None: - try: - # Best effort try to unmount - devs.tell.unmount(wait=True) - except Exception as e: - print(f"Error for unmounting: {e}") - devs.tell.dry(wait_cold=-1, wait=False) - + pass def dh2sa(devs: BeamlineDevices, cfg: BeamlineConfig): - #devs.tell.move_cold(wait=True) - logger.info("return to sample alignment") + pass From 2109673d4dab1a2b6e925d847f7c7d0d54dea98d Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Thu, 15 Jan 2026 15:28:07 +0100 Subject: [PATCH 009/144] Restructure --- src/aare/daq/daq.py | 4 ++-- src/aare/daq/devices.py | 11 +++++++++++ 2 files changed, 13 insertions(+), 2 deletions(-) diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index 39e32a0b..a109c82f 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -1267,7 +1267,7 @@ class AareDAQ: det_cfg = self.__jfjoch.detector() return DiffractionGeometry( energy_keV=self.__devs.energy_kev, - dtz_mm=self.__devs.dtz.value, + dtz_mm=self.__devs.dtz, detector_size_pxl=(det_cfg.width, det_cfg.height), pixel_size_mm=det_cfg.pixel_size_mm, beam_center_pxl=self.__cfg.beam_center, @@ -1284,7 +1284,7 @@ class AareDAQ: light=self.light, cryojet_K=self.__devs.cryojet_temp, shutter_open=self.__devs.shutter, - exp_shutter_open=self.__devs.exp_shutter.state(), + exp_shutter_open=self.__devs.shutter, flux_ph_s=self.__devs.full_flux, sample_camera=self.__devs.samcam_settings, name=self.__bl, diff --git a/src/aare/daq/devices.py b/src/aare/daq/devices.py index 044b2162..ad6ca291 100644 --- a/src/aare/daq/devices.py +++ b/src/aare/daq/devices.py @@ -27,6 +27,17 @@ class BeamlineDevices: self.__dtz = MyMotor(f"{BEAMLINE}-ES-DET:TRZ1") self.__sample_cam = epicsAD(f"{BEAMLINE}-SAMCAM:") +# Transmission + @property + def transmission(self) -> float: + return 1.0 + def set_transmission(self, value: float, /, wait: bool = True): + pass + + @transmission.setter + def transmission(self, value: float): + self.set_transmission(value, wait=False) + # Lamp light @property def lamp_light(self) -> float: From 11b55631312d941cf1f8e7cc2bc94ecb224e42dc Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Thu, 15 Jan 2026 15:34:53 +0100 Subject: [PATCH 010/144] Restructure --- src/aare/daq/daq.py | 137 +++++++--------------------------------- src/aare/daq/devices.py | 7 +- 2 files changed, 29 insertions(+), 115 deletions(-) diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index a109c82f..a5c76498 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -1,34 +1,32 @@ -import copy + import secrets import time -from copy import deepcopy + from datetime import datetime from math import ceil from typing import List, Tuple, Optional import cv2 import numpy as np -import redis + import aare.common.face_detection as fd from aare.daq import workflows from aare.daq.aaredb import AareWrapper -from aare.daq.autofocus import calculate_focus_measure -from aare.daq.config import BeamlineConfig, aerotech_pos_MOUNT + +from aare.daq.config import BeamlineConfig from aare.daq.config import BeamlineStateEnum from aare.daq.devices import BeamlineDevices from aare.daq.mlbox import MlBox from aare.common.beamline import MXBeamline from aare.common.coordinate import Coordinate, SmargonCoordinate from aare.common.diffraction_geometry import DiffractionGeometry -from aare.common.find_xtal import raster_centre_of_mass, create_quality_filtered_array, identify_crystal_raster, \ - get_result_list_from_com, get_best_b_factor, get_best_res, get_xtal_size from aare.common.logger_config import setup_logger from aare.common.models import ( SampleShortInfo, PuckLoadedInfo, SampleShortInfoList, - DAQStatusModel, BeamlineStatus, SessionStatus, SampleCameraSettings, AutofocusSettings, ZoomModeEnum, CrystalSize, + DAQStatusModel, BeamlineStatus, SessionStatus, SampleCameraSettings, ZoomModeEnum, SimpleScanParameters, MLBoxModel, FluorescenceSpectrumParameterModel, FluorescenceSpectrumOutputModel) from aare.common.raster_grid import RasterGridRequest, CompletedRasterGrid, CompletedRasterGridElem @@ -318,83 +316,14 @@ class AareDAQ: raise def __mount_failure_handler(self, mount_error): - failed = self.__cfg.increment_failed_mount_count() - if failed >=4: - #TODO move park does not dry, need to change this!!! - self.__devs.tell.dry(wait=False, wait_cold=-1) - raise CriticalTellException(f"Repeated drying failure, moved to park" - f"\nThere either really is no sample or " - f"a critical failure.\nPlease check the dewar and if a sample, " - f"please contact the MX team") - elif failed >=3: - self.__devs.tell.dry(wait=False, wait_cold=-1) - raise WarningTellException(f"Continued to not find a sample, drying robot in park for 10 minutes. " - f"\n Please get a cup of coffee.\nAfter the robot has dried, " - f"check the sample positions that have been missed, if no samples continue!" - f"\nOtherwise there may be a critical error so please let your local " - f"contact for support") - elif failed == 2: - self.__devs.tell.dry(wait=False) - raise MountingFailed(f"Drying gripper: repeated error: {mount_error}") - else: - raise MountingFailed(f"{mount_error}") + pass def __mount(self, target: SampleShortInfo | None): pass @sample.setter def sample(self, target: SampleShortInfo | None): - # This will set internally state to SampleExchange, but will return to SampleAlignment - # before exiting - - self.__cfg.try_set_busy(timeout=360) - - try: - curr_sample = self.__cfg.current_sample - curr_sample_is_manual = False - logger.info(f"current sample: {curr_sample}") - logger.info(f"new target is: {target}") - self.__cfg.crystal_size = CrystalSize(x=0, y=0, z=0) - self.__cfg.last_best_b_factor = None - self.__cfg.last_best_res = None - self.__cfg.xrf = None - - if curr_sample is not None and curr_sample.location is None: - self.__cfg.current_sample = None - curr_sample_is_manual = True - - if target is not None or not curr_sample_is_manual: - self.__mount(target) - if target is not None and target.db_id is not None: - #self.__aare.sample_mounted(self.__cfg.current_sample) - logger.info(f"post_mount_{target.db_id}_{self.__devs.zoom}") - self.save_screenshot_db(target.db_id , f"post_mount_{target.db_id }_{self.__devs.zoom}") - except Exception as e: - self.__cfg.state_busy = False - # If unmount succeeded, but mount failed - mounted_sample = self.__devs.tell.get_mounted_sample() - #TODO check the following error logic - # if target is not None: - # print(f"TELL: Error mounting, TELL believes current sample is {mounted_sample}, while expected {target.location}") - if mounted_sample is None: - logger.error("TELL: After mounting there is no sample on gonio according to TELL") - self.__cfg.current_sample = None - if target is not None: - raise e - elif target is not None and (target.location is not None - and mounted_sample.puck.pos == target.location.pos - and mounted_sample.puck.segment == target.location.segment - and mounted_sample.pin == target.pin): - logger.info("TELL: Actually mounting was correct according to TELL, so setting current sample to target") - self.__cfg.current_sample = target - else: - raise e - - self.__set_state(BeamlineStateEnum.SampleAlignment) - self.__cfg.state_busy = False - - #if target is not None and target.location is not None: - # self.__loop_center_sequence(target.db_id) + pass @property def camera_image(self) -> np.ndarray | None: @@ -514,7 +443,6 @@ class AareDAQ: bgr_array = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) cv2.imwrite(f"bkg{zoom_value:.0f}_{exposure*1000:.0f}_{gain:.0f}.jpg", bgr_array) self.__cfg.state_busy = False - self.__devs.sample_cam.set_auto() except Exception as e: self.__cfg.state_busy = False raise e @@ -754,8 +682,8 @@ class AareDAQ: if beam_y !=0 and abs(centre_y-beam_y)/abs(beam_y) > tolerance: coord = geom.picture_to_smargon(Coordinate(x=beam_x, y=centre_y)) - self.__devs.smargon.target = SmargonCoordinate(sh_mm=coord) - self.__devs.smargon.wait(60) + self.__devs.smargon = SmargonCoordinate(sh_mm=coord) + self.__devs.smargon_wait(60) return @@ -771,10 +699,10 @@ class AareDAQ: self.__devs.samcam_settings = SampleCameraSettings( exposure=zoom_settings[zoom_value].exposure, gain=zoom_settings[zoom_value].gain) - self.__devs.zoom_sync(zoom_value) + self.__devs.set_zoom(zoom_value, wait=True) boxes: dict[int, tuple[float, float, float, float]] = {} - curr_angle = int(self.__devs.aerotech.omega) + curr_angle = int(self.__devs.aerotech_omega) total_range = steps * step_size + 1 start_angle = curr_angle if curr_angle + total_range < 720 else 0 end_angle = curr_angle + total_range @@ -782,7 +710,7 @@ class AareDAQ: for angle in range(start_angle, end_angle, step_size): logger.debug(f'moving to angle: {angle}') rotate_time = time.perf_counter() - self.__devs.aerotech.move(angle, wait=True) + self.__devs.aerotech_omega = angle logger.info(f"time to rotate 15 degrees: {time.perf_counter() - rotate_time}") curr_image = cv2.cvtColor(self.camera_image, cv2.COLOR_RGB2BGR) @@ -818,7 +746,7 @@ class AareDAQ: logger.info(f"best params: {best_params}") logger.info(f"chosen fit: {best_name}") logger.info(f"best angle: {flat_face_angle}") - self.__devs.aerotech.move(flat_face_angle, wait=True) + self.__devs.aerotech_omega = flat_face_angle samples_out = fd.get_samples_out(boxes) logger.info(f"face detection sequence done, samples: {samples_out}") @@ -864,7 +792,7 @@ class AareDAQ: self.__devs.samcam_settings = SampleCameraSettings(exposure=exposure, gain=gain) exp = int(exposure * 1000) gn = int(gain) - self.__devs.zoom_sync(zoom_value) + self.__devs.set_zoom(zoom_value, wait=True) logger.debug(f'zoom={zoom_value},gain={gn}, exp={exp}ms') found_flag = False @@ -874,7 +802,7 @@ class AareDAQ: for angle in base_angles: logger.debug(f"Moving to new omega: {angle}") time_to_move_aerotech= time.perf_counter() - self.__devs.aerotech.move(angle, wait=True) + self.__devs.aerotech_omega = angle logger.info(f"time to move: {time.perf_counter()-time_to_move_aerotech}") filename = f"{sample_id}_{angle}_{zoom_value:.0f}_{exp}_{gn}" if sample_id is not None else None @@ -901,8 +829,8 @@ class AareDAQ: found_angle = angle time_to_move_smargon = time.perf_counter() - self.__devs.smargon.target = target - self.__devs.smargon.wait(60) + self.__devs.smargon_pos = target + self.__devs.smargon_wait(60) logger.info(f"time to move smargon: {time.perf_counter() - time_to_move_smargon}") if targets_found_this_attempt == 0: @@ -1128,7 +1056,7 @@ class AareDAQ: self.__cfg.zoom_mode = ZoomModeEnum.User self.__devs.samcam_settings = self.__cfg.zoom_settings.get_camera_settings(self.zoom) - self.__devs.dtz.move(params.dtz, wait=True) + self.__devs.dtz = params.dtz if self.omega + 180 < 720: start_omega = self.omega else: @@ -1288,7 +1216,7 @@ class AareDAQ: flux_ph_s=self.__devs.full_flux, sample_camera=self.__devs.samcam_settings, name=self.__bl, - transmission=self.__devs.transmission.get(), + transmission=self.__devs.transmission, zoom=self.__devs.zoom, commissioning_mode=self.__cfg.commissioning_mode, dtz_min=self.__devs.dtz_low, @@ -1314,7 +1242,7 @@ class AareDAQ: def cancel(self): if self.__cfg.state == BeamlineStateEnum.DataCollection: - self.__devs.aerotech.stop() + self.__devs.aerotech_stop() self.__jfjoch.cancel() def anneal(self, time_s: float): @@ -1331,12 +1259,12 @@ class AareDAQ: self.__set_state(BeamlineStateEnum.XrayFluorescence) if fm.transmission is not None: - self.__devs.transmission.set(fm.transmission, wait=True) + self.__devs.transmission = fm.transmission self.__devs.fluorimeter.start_acquisition(erase=fm.erase) - self.__devs.aerotech.set_shutter(1) + self.__devs.shutter = True time.sleep(fm.acq_time_s) - self.__devs.aerotech.set_shutter(0) + self.__devs.shutter = False self.__devs.fluorimeter.stop_acquisition() time.sleep(0.2) spectrum = self.__devs.fluorimeter.get_current_data() @@ -1358,20 +1286,3 @@ class AareDAQ: self.__set_state(BeamlineStateEnum.SampleAlignment) self.__cfg.state_busy = False raise e - - def fluorimeter_start(self, erase: bool = False): - self.__devs.aerotech.set_shutter(1) - self.__devs.fluorimeter.start_acquisition(erase=erase) - - def fluorimeter_stop(self): - self.__devs.fluorimeter.stop_acquisition() - self.__devs.aerotech.set_shutter(0) - - def fluorimeter_status(self) -> int | None: - return self.__devs.fluorimeter.check_status() - - def fluorimeter_data(self): - return self.__devs.fluorimeter.get_current_data() - - def fluorimeter_background(self): - return self.__devs.fluorimeter.get_current_background() \ No newline at end of file diff --git a/src/aare/daq/devices.py b/src/aare/daq/devices.py index ad6ca291..0d681a1a 100644 --- a/src/aare/daq/devices.py +++ b/src/aare/daq/devices.py @@ -206,6 +206,9 @@ class BeamlineDevices: def aerotech_lock(self, val: bool): pass + def aerotech_stop(self): + pass + # Smargon goniometer @property def smargon_pos(self) -> SmargonCoordinate: @@ -218,8 +221,8 @@ class BeamlineDevices: def smargon_pos(self, pos: SmargonCoordinate): self.set_smargon_pos(pos, wait=True) - def smargon_wait(self): - self.__smargon.wait() + def smargon_wait(self, timeout: float = 10.0): + self.__smargon.wait(timeout=timeout) def smargon_move_home(self): self.__smargon.move_home(wait=True) From b63ce6892f70e8e74c389c03e32c4d1ce395ef62 Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Thu, 15 Jan 2026 15:36:45 +0100 Subject: [PATCH 011/144] Remove fluorescence code --- src/aare/daq/daq.py | 20 ++------------------ 1 file changed, 2 insertions(+), 18 deletions(-) diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index a5c76498..462abcb7 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -1261,27 +1261,11 @@ class AareDAQ: if fm.transmission is not None: self.__devs.transmission = fm.transmission - self.__devs.fluorimeter.start_acquisition(erase=fm.erase) - self.__devs.shutter = True - time.sleep(fm.acq_time_s) - self.__devs.shutter = False - self.__devs.fluorimeter.stop_acquisition() - time.sleep(0.2) - spectrum = self.__devs.fluorimeter.get_current_data() - - offset = self.__devs.fluorimeter.offset - slope = self.__devs.fluorimeter.slope # slope is in keV! - energy = [slope * 1000.0 * i + offset for i in range(len(spectrum))] - fluo_output = FluorescenceSpectrumOutputModel(spectrum=spectrum, - bkg=self.__devs.fluorimeter.get_current_background(), - energy_eV=energy, - average_dead_time=self.__devs.fluorimeter.average_dead_time() / 100.0) - if self.sample is not None: - self.__cfg.xrf = fluo_output + # TODO: Fill self.__set_state(BeamlineStateEnum.SampleAlignment) self.__cfg.state_busy = False - return fluo_output + return None except Exception as e: self.__set_state(BeamlineStateEnum.SampleAlignment) self.__cfg.state_busy = False From 65c341077a500f09b348c413a2750c628e41e52e Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Thu, 15 Jan 2026 16:07:53 +0100 Subject: [PATCH 012/144] GUI: Clean-up --- src/aare/common/beamline.py | 4 +- src/aare/common/logger_config.py | 38 +++++++++---------- src/aare/daq/devices.py | 2 +- src/aare/devices/jfjoch.py | 2 + src/aare/devices/smargon.py | 3 ++ src/aare/gui/gui.py | 2 +- src/aare/gui/main_window.py | 20 +++++----- src/aare/gui/panels/abr_tweak_panel.py | 4 +- src/aare/gui/panels/beam_center_panel.py | 2 +- src/aare/gui/panels/beam_size_panel.py | 2 +- src/aare/gui/panels/beamline_controls.py | 10 ++--- .../gui/panels/data_collection_settings.py | 4 +- src/aare/gui/panels/face_detection_panel.py | 2 +- .../panels/fluorescence_data_collection.py | 2 +- src/aare/gui/panels/manual_sample_panel.py | 2 +- src/aare/gui/panels/omega_panel.py | 4 +- src/aare/gui/panels/raster_data_collection.py | 6 +-- .../gui/panels/rotation_data_collection.py | 4 +- src/aare/gui/panels/sample_queue_panel.py | 2 +- src/aare/gui/panels/scan_settings_panel.py | 2 +- src/aare/gui/panels/smargon_panel.py | 4 +- src/aare/gui/panels/smart_rotation_panel.py | 2 +- src/aare/gui/panels/zoom_panel.py | 2 +- src/aare/gui/widgets/camera_image.py | 2 +- src/aare/gui/widgets/raster_grid_table.py | 2 +- 25 files changed, 66 insertions(+), 63 deletions(-) diff --git a/src/aare/common/beamline.py b/src/aare/common/beamline.py index 51d4f693..7c402bb8 100644 --- a/src/aare/common/beamline.py +++ b/src/aare/common/beamline.py @@ -10,8 +10,6 @@ class MXBeamline(Enum): def mx_beamline() -> MXBeamline: - name = os.getenv("BEAMLINE_XNAME") - if name is None: - name = os.getenv("BEAMLINE", "SIMULATED") + name = os.getenv("BEAMLINE") name=name.strip().upper() return MXBeamline[name] if name in MXBeamline.__members__ else MXBeamline.SIMULATED diff --git a/src/aare/common/logger_config.py b/src/aare/common/logger_config.py index 87583343..516c7f05 100644 --- a/src/aare/common/logger_config.py +++ b/src/aare/common/logger_config.py @@ -38,34 +38,34 @@ def setup_logger(name="aareDAQ", base_dir: str | None = '~/tmp/mxlogs', config_p # switch to production mode using: $ APP_ENV=prod python main.py env = os.getenv("APP_ENV", "dev") # default: dev - if config_path is None: - config_file = get_config_path(env) - else: - config_file = Path(config_path) + #if config_path is None: + # config_file = get_config_path(env) + #else: + # config_file = Path(config_path) - with open(config_file, "r") as f: - config = yaml.safe_load(f.read()) + # with open(config_file, "r") as f: + # config = yaml.safe_load(f.read()) # Force base directory to be under the user's home dir - effective_base = base_dir or '~/mxlogs' - effective_base = os.path.abspath(os.path.expanduser(os.path.expandvars(effective_base))) + # effective_base = base_dir or '~/mxlogs' + # effective_base = os.path.abspath(os.path.expanduser(os.path.expandvars(effective_base))) # Ensure directories for file handlers exist - handlers = config.get("handlers", {}) + #handlers = config.get("handlers", {}) - for h in handlers.values(): + #for h in handlers.values(): - filename = h.get("filename") - if not filename: - continue - abs_filename = os.path.join(effective_base, os.path.basename(filename)) + # filename = h.get("filename") + # if not filename: + # continue + # abs_filename = os.path.join(effective_base, os.path.basename(filename)) - h["filename"] = abs_filename - log_dir = os.path.dirname(abs_filename) - if log_dir and not os.path.exists(log_dir): - os.makedirs(log_dir, exist_ok=True) + #h["filename"] = abs_filename + #log_dir = os.path.dirname(abs_filename) + #if log_dir and not os.path.exists(log_dir): +# os.makedirs(log_dir, exist_ok=True) - logging.config.dictConfig(config) +# logging.config.dictConfig(config) logging.getLogger("redis_lock").setLevel(logging.WARNING) logging.getLogger("urllib3").setLevel(logging.WARNING) logging.getLogger("matplotlib.font_manager").setLevel(logging.WARNING) diff --git a/src/aare/daq/devices.py b/src/aare/daq/devices.py index 0d681a1a..a7957d70 100644 --- a/src/aare/daq/devices.py +++ b/src/aare/daq/devices.py @@ -24,7 +24,7 @@ class BeamlineDevices: self.__smargon = smargon.Smargon(beamline) self.__ring_current_pv = PV(f"ARS07-DPCT-0100:CURR") - self.__dtz = MyMotor(f"{BEAMLINE}-ES-DET:TRZ1") + self.__dtz = MyMotor(f"{BEAMLINE}-ES-DET:TRZ") self.__sample_cam = epicsAD(f"{BEAMLINE}-SAMCAM:") # Transmission diff --git a/src/aare/devices/jfjoch.py b/src/aare/devices/jfjoch.py index a0fa1934..964cd761 100644 --- a/src/aare/devices/jfjoch.py +++ b/src/aare/devices/jfjoch.py @@ -13,6 +13,8 @@ class JFJochWrapper: match bl: case MXBeamline.X06DA: self.__url = "http://sls-gpu-001:8080" + case MXBeamline.X10SA: + self.__url = "http://sls-gpu-002:8080" case MXBeamline.SIMULATED: self.__url = "http://localhost:8080" case _: diff --git a/src/aare/devices/smargon.py b/src/aare/devices/smargon.py index 9d484f9e..80361e08 100644 --- a/src/aare/devices/smargon.py +++ b/src/aare/devices/smargon.py @@ -23,6 +23,9 @@ class Smargon(object): if bl == MXBeamline.X06DA: self.__simulated = False self.__base = "http://x06da-smargopolo.psi.ch:3000" + elif bl == MXBeamline.X10SA: + self.__simulated = False + self.__base = "http://x10sa-smargopolo.psi.ch:3000" elif bl == MXBeamline.SIMULATED: self.__simulated = True self.__pos = self.SMARGON_HOME diff --git a/src/aare/gui/gui.py b/src/aare/gui/gui.py index 6a519555..071bfe9a 100644 --- a/src/aare/gui/gui.py +++ b/src/aare/gui/gui.py @@ -33,7 +33,7 @@ if __name__ == "__main__": default_zmq_addr = "tcp://x06da-pserv-01:9089" #129.129.110.12:9089 default_pred_zmq_addr = "tcp://mx-ml:9091" case MXBeamline.X10SA: - default_url = "http://mx-x10sa-queue-01.psi.ch:5210" + default_url = "http://127.0.0.1:5210" default_zmq_addr = "tcp://x10sa-pserv-01:9089" default_pred_zmq_addr = "" case MXBeamline.X06SA: diff --git a/src/aare/gui/main_window.py b/src/aare/gui/main_window.py index 5b8202aa..53919128 100644 --- a/src/aare/gui/main_window.py +++ b/src/aare/gui/main_window.py @@ -17,24 +17,24 @@ from aare.common.models import SampleShortInfoList, TokenData, DAQStatusModel, B from aare.common.sample_geometry import SampleGeometryModel from aare.gui.panels.LogPanel import LogDock -from aare.gui.panels import BeamlineControls -from aare.gui.panels import DataCollectionSettings +from aare.gui.panels.beamline_controls import BeamlineControls +from aare.gui.panels.data_collection_settings import DataCollectionSettings from aare.gui.panels.manual_sample_panel import ManualSamplePanel from aare.gui.panels.reference_tools_panel import ReferenceToolsPanel -from aare.gui.panels import SampleQueuePanel +from aare.gui.panels.sample_queue_panel import SampleQueuePanel from aare.gui.panels.tell_sample_panel import TellSamplePanel from aare.gui.panels.face_detection_panel import FaceDetectionPanel -from aare.gui.scan_logic import RasterGridManager -from aare.gui.scan_logic import RotationScanManager -from aare.gui.scan_logic import SampleMountLogic +from aare.gui.scan_logic.raster_grid_manager import RasterGridManager +from aare.gui.scan_logic.rotation_scan_manager import RotationScanManager +from aare.gui.scan_logic.sample_mount_logic import SampleMountLogic from aare.gui.threads.axis_video_thread import VideoThread -from aare.gui.threads import SampleCameraThread, PredictionSubscriber -from aare.gui.threads import DAQWorker -from aare.gui.threads import JFJochDBusClient +from aare.gui.threads.camera_thread import SampleCameraThread, PredictionSubscriber +from aare.gui.threads.daq_worker import DAQWorker +from aare.gui.threads.jfjoch_viewer import JFJochDBusClient from aare.gui.widgets.camera_image import SampleCameraImageLabel from aare.gui.widgets.no_wheel_scroll_area import NoWheelScrollArea from aare.gui.widgets.status_bar import StatusBar -from aare.gui.widgets import VideoGraphicsView +from aare.gui.widgets.video_image import VideoGraphicsView from aare.gui.panels.fluorescence_panel import FluorescencePanel logger = setup_logger("aareGUI") diff --git a/src/aare/gui/panels/abr_tweak_panel.py b/src/aare/gui/panels/abr_tweak_panel.py index 0654f7bb..bc47b33f 100644 --- a/src/aare/gui/panels/abr_tweak_panel.py +++ b/src/aare/gui/panels/abr_tweak_panel.py @@ -4,8 +4,8 @@ from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QPushButton from aare.common.coordinate import Coordinate from aare.common.models import DAQStatusModel -from aare.gui.widgets import ButtonWithPayload -from aare.gui.widgets import NumberLineEdit +from aare.gui.widgets.button_with_payload import ButtonWithPayload +from aare.gui.widgets.number_line_edit import NumberLineEdit from aare.gui.widgets.title_label import TitleLabel DEFAULT_ABR_STEP_UM = 5 diff --git a/src/aare/gui/panels/beam_center_panel.py b/src/aare/gui/panels/beam_center_panel.py index 8309036d..e59c0c58 100644 --- a/src/aare/gui/panels/beam_center_panel.py +++ b/src/aare/gui/panels/beam_center_panel.py @@ -2,7 +2,7 @@ from PySide6.QtCore import Signal, Slot from PySide6.QtWidgets import QWidget, QGridLayout, QLabel from aare.common.models import DAQStatusModel -from aare.gui.widgets import NumberLineEdit +from aare.gui.widgets.number_line_edit import NumberLineEdit from aare.gui.widgets.title_label import TitleLabel diff --git a/src/aare/gui/panels/beam_size_panel.py b/src/aare/gui/panels/beam_size_panel.py index 330cf66d..31c3ed88 100644 --- a/src/aare/gui/panels/beam_size_panel.py +++ b/src/aare/gui/panels/beam_size_panel.py @@ -2,7 +2,7 @@ from PySide6.QtCore import Signal, Slot from PySide6.QtWidgets import QWidget, QGridLayout, QLabel from aare.common.models import DAQStatusModel -from aare.gui.widgets import NumberLineEdit +from aare.gui.widgets.number_line_edit import NumberLineEdit from aare.gui.widgets.title_label import TitleLabel diff --git a/src/aare/gui/panels/beamline_controls.py b/src/aare/gui/panels/beamline_controls.py index ec79a0e7..4ed7a2ec 100644 --- a/src/aare/gui/panels/beamline_controls.py +++ b/src/aare/gui/panels/beamline_controls.py @@ -1,10 +1,10 @@ from PySide6.QtWidgets import QFrame, QVBoxLayout -from aare.gui.panels import AbrTweakWidget -from aare.gui.panels import BeamCenterWidget -from aare.gui.panels import BeamMarkWidget -from aare.gui.panels import BeamSizeWidget -from aare.gui.panels import IlluminationPanel +from aare.gui.panels.abr_tweak_panel import AbrTweakWidget +from aare.gui.panels.beam_center_panel import BeamCenterWidget +from aare.gui.panels.beam_mark_panel import BeamMarkWidget +from aare.gui.panels.beam_size_panel import BeamSizeWidget +from aare.gui.panels.illumination_panel import IlluminationPanel from aare.gui.panels.loop_centering_panel import LoopCenteringPanel from aare.gui.panels.omega_panel import OmegaPanel from aare.gui.panels.samcam_panel import SamcamPanel diff --git a/src/aare/gui/panels/data_collection_settings.py b/src/aare/gui/panels/data_collection_settings.py index 59ee2ad8..bfba7515 100644 --- a/src/aare/gui/panels/data_collection_settings.py +++ b/src/aare/gui/panels/data_collection_settings.py @@ -14,8 +14,8 @@ from aare.gui.panels.file_path_panel import FilePathPanel from aare.gui.panels.fluorescence_data_collection import FluorescenceDataCollectionPanel from aare.gui.panels.raster_data_collection import RasterDataCollectionPanel from aare.gui.panels.rotation_data_collection import RotationDataCollectionPanel -from aare.gui.panels import SimpleRotationSettingsPanel -from aare.gui.scan_logic import RasterGridManager +from aare.gui.panels.smart_rotation_panel import SimpleRotationSettingsPanel +from aare.gui.scan_logic.raster_grid_manager import RasterGridManager class DataCollectionSettings(QFrame): diff --git a/src/aare/gui/panels/face_detection_panel.py b/src/aare/gui/panels/face_detection_panel.py index be7eba7b..8ee8f1b5 100644 --- a/src/aare/gui/panels/face_detection_panel.py +++ b/src/aare/gui/panels/face_detection_panel.py @@ -5,7 +5,7 @@ from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas from matplotlib.figure import Figure import numpy as np -from aare.gui.widgets import NumberLineEdit +from aare.gui.widgets.number_line_edit import NumberLineEdit from aare.gui.widgets.title_label import TitleLabel from aare.common.logger_config import setup_logger diff --git a/src/aare/gui/panels/fluorescence_data_collection.py b/src/aare/gui/panels/fluorescence_data_collection.py index b7180b33..df68c90c 100644 --- a/src/aare/gui/panels/fluorescence_data_collection.py +++ b/src/aare/gui/panels/fluorescence_data_collection.py @@ -2,7 +2,7 @@ from PySide6.QtCore import Signal, Slot from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QPushButton, QCheckBox from aare.common.models import FluorescenceSpectrumParameterModel -from aare.gui.widgets import NumberLineEdit +from aare.gui.widgets.number_line_edit import NumberLineEdit class FluorescenceDataCollectionPanel(QWidget): diff --git a/src/aare/gui/panels/manual_sample_panel.py b/src/aare/gui/panels/manual_sample_panel.py index 6b669f74..fd39da58 100644 --- a/src/aare/gui/panels/manual_sample_panel.py +++ b/src/aare/gui/panels/manual_sample_panel.py @@ -3,7 +3,7 @@ from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QPushButton, QCheckB from aareDBclient import DataCollectionParameters from aare.common.models import SampleShortInfo, DAQStatusModel -from aare.gui.widgets import NumberLineEdit +from aare.gui.widgets.number_line_edit import NumberLineEdit from aare.gui.widgets.title_label import TitleLabel diff --git a/src/aare/gui/panels/omega_panel.py b/src/aare/gui/panels/omega_panel.py index 38a8a8d2..e578f82c 100644 --- a/src/aare/gui/panels/omega_panel.py +++ b/src/aare/gui/panels/omega_panel.py @@ -2,8 +2,8 @@ from PySide6.QtCore import Signal, Slot from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QHBoxLayout from aare.common.models import DAQStatusModel -from aare.gui.widgets import ButtonWithPayload -from aare.gui.widgets import NumberLineEdit +from aare.gui.widgets.button_with_payload import ButtonWithPayload +from aare.gui.widgets.number_line_edit import NumberLineEdit from aare.gui.widgets.title_label import TitleLabel diff --git a/src/aare/gui/panels/raster_data_collection.py b/src/aare/gui/panels/raster_data_collection.py index 40bdda9b..b882e0ef 100644 --- a/src/aare/gui/panels/raster_data_collection.py +++ b/src/aare/gui/panels/raster_data_collection.py @@ -3,9 +3,9 @@ from PySide6.QtWidgets import QLabel, QSizePolicy, QSpacerItem, QPushButton, QCo from aare.common.diffraction_geometry import DiffractionGeometry from aare.common.models import DAQStatusModel, BeamlineStateEnum -from aare.gui.panels import ScanSettingsPanel -from aare.gui.scan_logic import RasterGridManager, RasterGridMetric -from aare.gui.widgets import CheckedLineEdit +from aare.gui.panels.scan_settings_panel import ScanSettingsPanel +from aare.gui.scan_logic.raster_grid_manager import RasterGridManager, RasterGridMetric +from aare.gui.widgets.number_line_edit import CheckedLineEdit from aare.gui.widgets.raster_grid_table import RasterGridTable from aare.common.logger_config import setup_logger diff --git a/src/aare/gui/panels/rotation_data_collection.py b/src/aare/gui/panels/rotation_data_collection.py index c0ecd232..ba03aa49 100644 --- a/src/aare/gui/panels/rotation_data_collection.py +++ b/src/aare/gui/panels/rotation_data_collection.py @@ -7,8 +7,8 @@ from aare.common.diffraction_geometry import DiffractionGeometry from aare.common.logger_config import setup_logger from aare.common.models import DAQStatusModel, BeamlineStateEnum from aare.common.rotation_scan import RotationScanRequest -from aare.gui.panels import ScanSettingsPanel -from aare.gui.widgets import NumberLineEdit, CheckedLineEdit +from aare.gui.panels.scan_settings_panel import ScanSettingsPanel +from aare.gui.widgets.number_line_edit import NumberLineEdit, CheckedLineEdit logger = setup_logger("aareGUI") diff --git a/src/aare/gui/panels/sample_queue_panel.py b/src/aare/gui/panels/sample_queue_panel.py index 3bfab65e..6ced0a7f 100644 --- a/src/aare/gui/panels/sample_queue_panel.py +++ b/src/aare/gui/panels/sample_queue_panel.py @@ -4,7 +4,7 @@ from PySide6.QtWidgets import QFrame, QVBoxLayout, QHBoxLayout, QPushButton, QHe from PySide6.QtGui import QKeySequence, QShortcut from aare.common.models import SampleShortInfoList, SampleShortInfo, BeamlineStateEnum -from aare.gui.models import SampleQueueSpreadsheet +from aare.gui.models.sample_queue_model import SampleQueueSpreadsheet from aare.gui.widgets.message_box import ring_current_low_check, experiment_hutch_shutter_check, LOW_CURRENT_THRESHOLD, \ ring_current_auto_check from aare.gui.widgets.title_label import TitleLabel diff --git a/src/aare/gui/panels/scan_settings_panel.py b/src/aare/gui/panels/scan_settings_panel.py index f67235e3..fa779029 100644 --- a/src/aare/gui/panels/scan_settings_panel.py +++ b/src/aare/gui/panels/scan_settings_panel.py @@ -5,7 +5,7 @@ from aare.common.diffraction_geometry import DiffractionGeometry from aare.common.logger_config import setup_logger from aare.common.models import DAQStatusModel from aare.gui.widgets.message_box import ring_current_low_check, experiment_hutch_shutter_check -from aare.gui.widgets import CheckedLineEdit +from aare.gui.widgets.number_line_edit import CheckedLineEdit logger = setup_logger("aareGUI") diff --git a/src/aare/gui/panels/smargon_panel.py b/src/aare/gui/panels/smargon_panel.py index 0bf70a79..89940545 100644 --- a/src/aare/gui/panels/smargon_panel.py +++ b/src/aare/gui/panels/smargon_panel.py @@ -2,8 +2,8 @@ from PySide6.QtCore import Signal, Slot from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QPushButton from aare.common.models import DAQStatusModel -from aare.gui.widgets import ButtonWithPayload -from aare.gui.widgets import NumberLineEdit +from aare.gui.widgets.button_with_payload import ButtonWithPayload +from aare.gui.widgets.number_line_edit import NumberLineEdit from aare.gui.widgets.title_label import TitleLabel from aare.common.coordinate import SmargonCoordinate, Coordinate from aare.common.sample_geometry import SampleGeometryModel diff --git a/src/aare/gui/panels/smart_rotation_panel.py b/src/aare/gui/panels/smart_rotation_panel.py index 4b6222c2..bf88477e 100644 --- a/src/aare/gui/panels/smart_rotation_panel.py +++ b/src/aare/gui/panels/smart_rotation_panel.py @@ -7,7 +7,7 @@ from aare.common.logger_config import setup_logger from aare.common.models import DAQStatusModel, SimpleScanParameters, CrystalSize from aare.common.rotation_scan import RotationScanRequest from aare.gui.panels.rotation_data_collection import add_data_to_path -from aare.gui.widgets import NumberLineEdit +from aare.gui.widgets.number_line_edit import NumberLineEdit logger = setup_logger("aareGUI") diff --git a/src/aare/gui/panels/zoom_panel.py b/src/aare/gui/panels/zoom_panel.py index 0fbae60d..3911a901 100644 --- a/src/aare/gui/panels/zoom_panel.py +++ b/src/aare/gui/panels/zoom_panel.py @@ -2,7 +2,7 @@ from PySide6.QtCore import Slot, Signal from PySide6.QtWidgets import QWidget, QGridLayout from aare.common.models import DAQStatusModel -from aare.gui.widgets import ButtonWithPayload +from aare.gui.widgets.button_with_payload import ButtonWithPayload from aare.gui.widgets.title_label import TitleLabel diff --git a/src/aare/gui/widgets/camera_image.py b/src/aare/gui/widgets/camera_image.py index f312d665..19e54aef 100644 --- a/src/aare/gui/widgets/camera_image.py +++ b/src/aare/gui/widgets/camera_image.py @@ -27,7 +27,7 @@ from aare.common.models import DAQStatusModel, AutofocusSettings, SampleCameraSe from aare.gui.models.bookmark import SmargonBookmarkList from aare.common.coordinate import Coordinate, SmargonCoordinate from aare.common.sample_geometry import SampleGeometryModel -from aare.gui.scan_logic import RasterGridManager +from aare.gui.scan_logic.raster_grid_manager import RasterGridManager from aare.common.logger_config import setup_logger logger = setup_logger("aareGUI") diff --git a/src/aare/gui/widgets/raster_grid_table.py b/src/aare/gui/widgets/raster_grid_table.py index f24909de..3a3d91a5 100644 --- a/src/aare/gui/widgets/raster_grid_table.py +++ b/src/aare/gui/widgets/raster_grid_table.py @@ -1,7 +1,7 @@ from PySide6.QtCore import Signal, Slot from PySide6.QtWidgets import QTableWidget, QHeaderView, QTableWidgetItem, QWidget, QHBoxLayout, QPushButton -from aare.gui.scan_logic import RasterGridManager +from aare.gui.scan_logic.raster_grid_manager import RasterGridManager class RasterGridTable(QTableWidget): From 6c633a78873b07829b1c43e47846740f1b3d8148 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 15 Jan 2026 16:35:41 +0100 Subject: [PATCH 013/144] DAQ: Barebones aerotech for X10SA --- src/aare/devices/aerotech.py | 1295 +++------------------------------- 1 file changed, 114 insertions(+), 1181 deletions(-) diff --git a/src/aare/devices/aerotech.py b/src/aare/devices/aerotech.py index 67e08190..bb8028ef 100644 --- a/src/aare/devices/aerotech.py +++ b/src/aare/devices/aerotech.py @@ -1,1191 +1,124 @@ -""" -``Aerotech`` --- Aerotech control software -****************************************** +import os +import sys +import threading +from enum import Enum -This module provides an object to control the Aerotech Abr rotational stage. +from enum_pv import EnumPv -The following constants are defined. +import automation1 as a1 -Measurement phases: - - Aerotech.ABR_DONE - Aerotech.ABR_READY - Aerotech.ABR_BUSY - -Axis mode - - Aerotech.DIRECT_MODE - Aerotech.MEASURING_MODE - -Shutter - - Aerotech.SHUTTER_OPEN - Aerotech.SHUTTER_CLOSE - -Methods in the Abr class -======================== - -Aerotech.is_homed() -Aerotech.do_homing(wait=True) -Aerotech.get_ready(ostart=None, orange=None, etime=None, wait=True) -Aerotech.is_done() -Aerotech.is_ready() -Aerotech.is_busy() -Aerotech.stop() -Aerotech.start_exposure() -Aerotech.wait_status(status) -Aerotech.set_mode(, value) -Aerotech.get_mode() -Aerotech.set_direct_mode() -Aerotech.set_measuring_mode() -Aerotech.move(angle, wait=False, speed=None) -Aerotech.set_shutter(state) - -Attribute Access in Abr class -============================= - -The Abr class overwrites the getattr and setattr methods to provide a pythonic -way of controlling the Abr. - -The following properties are implemented: - -velo - - Sets the velocity of rotation: ``-ES-DF1:ROTX-SETV`` - -omega - - Move the omega angle without any wait: ``-ES-DF1:ROTX-VAL`` - -exposure_time - - Sets the PV for the measurement's exposure time: ``-ES-OSC:ETIME`` - -start_angle - - Sets the PV for the measurement's starting angle: ``-ES-OSC:START-POS`` - -oscillation_angle - - Sets the PV for the measurement's oscillation angle: ``-ES-OSC:RANGE`` - -shutter - - Controls the shutter: ``-ES-PH1:SET`` and ``-ES-PH1:GET`` - -mode - - Controls the axis mode: ``-ES-DF1:AXES-MODE`` - -measurement_state - - Controls the PV for the measurement state: ``-ES-OSC:DONE`` +from aare.common.beamline import MXBeamline, mx_beamline +from epics import PV, Motor +from my_motor import MyMotor -Examples -======== - - import Aerotech - abr = Aerotech.Abr() - - # move omega to 270.0 degrees - abr.omega = 270.0 - - # move omega to 180 degrees and wait for movement to finish - abr.move(180, wait=True) - - # move omega to 3000 degrees at 360 degrees/s and wait for movement to finish - abr.move(3000, speed=360, wait=True) - - # stop any movement - abr.stop() # this function only returns after the STATUS is back to OK - -""" - -import math -import time - -from epics import PV, poll -from epics.ca import pend_io - -from aare.common.beamline import MXBeamline - -ABR_DONE = 0 -ABR_READY = 1 -ABR_BUSY = 2 - -GRID_SCAN_BUSY = 0 -GRID_SCAN_DONE = 1 - -DIRECT_MODE = 0 -MEASURING_MODE = 1 - -SHUTTER_CLOSE = 0 -SHUTTER_OPEN = 1 - -FULL_PERIOD = 0 -HALF_PERIOD = 1 - - -def pv_wait(pv, val, timeout=10.0): - timeout = timeout + time.time() - timeisup = False - while val != pv.get() and not timeisup: - poll(0.01) - timeisup = time.time() > timeout - if timeisup: - raise RuntimeWarning( - "timeout waiting for %s to reach %s" % (pv.pvname, str(val)) - ) - - -CMD_NONE = 0 -CMD_RASTER_SCAN_SIMPLE = 1 -CMD_MEASURE_STANDARD = 2 -CMD_VERTICAL_LINE_SCAN = 3 -CMD_SCREENING = 4 -CMD_SUPER_FAST_OMEGA = 5 -CMD_STILL_WEDGE = 6 -CMD_STILLS = 7 -CMD_REPEAT_SINGLE_OSCILLATION = 8 -CMD_SINGLE_OSCILLATION = 9 -CMD_OLD_FASHIONED = 10 -CMD_RASTER_SCAN = 11 -CMD_JET_ROTATION = 12 -CMD_X_HELICAL = 13 -CMD_X_RUNSEQ = 14 -CMD_JUNGFRAU = 15 -CMD_MSOX = 16 -CMD_SLIT_SCAN = 17 -CMD_RASTER_SCAN_STILL = 18 -CMD_SCAN_SASTT = 19 -CMD_SCAN_SASTT_V2 = 20 -CMD_SCAN_SASTT_V3 = 21 - -AXIS_OMEGA = 1 -AXIS_GMX = 2 -AXIS_GMY = 3 -AXIS_GMZ = 4 -AXIS_STY = 5 -AXIS_STZ = 6 - - -class Abr: - def __init__(self, bl: MXBeamline): - BEAMLINE = "X06DA" # FIXME - self.__pv_stop = PV(f"{BEAMLINE}-ES-AERO:TSK-STOP") - self.__pv_lock = PV(f"{BEAMLINE}-ES-DF1:LOCK") - self.__pv_direct_mode = PV(f"{BEAMLINE}-ES-DF1:MODE-DIRECT") - self.set_direct_mode = self.__set_direct_mode_v2 - self.lock_device = self.__lock_device_v2 - self.lock = self.__lock_device_v2 - - self.unlock = self.set_direct_mode - - self.__pv_shutter_set = PV(f"{BEAMLINE}-ES-PH1:SET") - self.__pv_shutter_get = PV(f"{BEAMLINE}-ES-PH1:GET") - self.__pv_axes_mode = PV(f"{BEAMLINE}-ES-DF1:AXES-MODE") - self.__pv_omega_set = PV(f"{BEAMLINE}-ES-DF1:OMEGA-VAL") - self.__pv_omega_get = PV(f"{BEAMLINE}-ES-DF1:OMEGA-RBV") - self.__pv_omega_done = PV(f"{BEAMLINE}-ES-DF1:OMEGA-DONE") - self.__pv_gmx_setp = PV(f"{BEAMLINE}-ES-DF1:GMX-SETP") - self.__pv_gmx_getp = PV(f"{BEAMLINE}-ES-DF1:GMX-GETP") - self.__pv_gmx_val = PV(f"{BEAMLINE}-ES-DF1:GMX-VAL") - self.__pv_gmx_rbv = PV(f"{BEAMLINE}-ES-DF1:GMX-RBV") - self.__pv_gmx_velo = PV(f"{BEAMLINE}-ES-DF1:GMX-SETV") - self.__pv_gmx_done = PV(f"{BEAMLINE}-ES-DF1:GMX-DONE") - self.__pv_gmy_setp = PV(f"{BEAMLINE}-ES-DF1:GMY-SETP") - self.__pv_gmy_getp = PV(f"{BEAMLINE}-ES-DF1:GMY-GETP") - self.__pv_gmy_set = PV(f"{BEAMLINE}-ES-DF1:GMY-VAL") - self.__pv_gmy_get = PV(f"{BEAMLINE}-ES-DF1:GMY-RBV") - self.__pv_gmy_done = PV(f"{BEAMLINE}-ES-DF1:GMY-DONE") - self.__pv_gmz_setp = PV(f"{BEAMLINE}-ES-DF1:GMZ-SETP") - self.__pv_gmz_getp = PV(f"{BEAMLINE}-ES-DF1:GMZ-GETP") - self.__pv_gmz_set = PV(f"{BEAMLINE}-ES-DF1:GMZ-VAL") - self.__pv_gmz_get = PV(f"{BEAMLINE}-ES-DF1:GMZ-RBV") - self.__pv_gmz_done = PV(f"{BEAMLINE}-ES-DF1:GMZ-DONE") - self.__pv_omega_velo = PV(f"{BEAMLINE}-ES-DF1:OMEGA-SETV") - self.__pv_ostart = PV(f"{BEAMLINE}-ES-OSC:START-POS") - self.__pv_orange = PV(f"{BEAMLINE}-ES-OSC:RANGE") - self.__pv_etime = PV(f"{BEAMLINE}-ES-OSC:ETIME") - self.__pv_get_ready = PV(f"{BEAMLINE}-ES-OSC:READY.PROC") - self.__pv_start = PV(f"{BEAMLINE}-ES-OSC:START") - self.__pv_phase = PV(f"{BEAMLINE}-ES-OSC:DONE") - self.__pv_stat = PV(f"{BEAMLINE}-ES-AERO:STAT") - self.__pv_ishomed = PV(f"{BEAMLINE}-ES-DF1:OMEGA-AS00") - self.__pv_dohome = PV(f"{BEAMLINE}-ES-DF1:OMEGA-HOME") - self.__pv_omega_status = PV(f"{BEAMLINE}-ES-DF1:OMEGA-STAT") - self._raster_x_start = PV(f"{BEAMLINE}-ES-GRD:GMX-START") - self._raster_x_end = PV(f"{BEAMLINE}-ES-GRD:GMX-END") - self._raster_omega = PV(f"{BEAMLINE}-ES-OSC:#M-START") - self._raster_osc = PV(f"{BEAMLINE}-ES-GRD:ANGLE") - self._raster_celltime = PV(f"{BEAMLINE}-ES-GRD:CELL-TIME") - self._raster_y_start = PV(f"{BEAMLINE}-ES-OSC:#STY-START") - self._raster_y_step = PV(f"{BEAMLINE}-ES-OSC:#STY-END") - self._raster_z_start = PV(f"{BEAMLINE}-ES-OSC:#STZ-START") - self._raster_z_step = PV(f"{BEAMLINE}-ES-OSC:#STZ-END") - self._raster_columns = PV(f"{BEAMLINE}-ES-GRD:COLUMNS") - self._raster_rows = PV(f"{BEAMLINE}-ES-GRD:ROWS") - self._raster_delay = PV(f"{BEAMLINE}-ES-GRD:RAST-DLY") - self._raster_osc_mode = PV(f"{BEAMLINE}-ES-GRD:SET-MODE") - self._raster_velo = PV(f"{BEAMLINE}-ES-GRD:#X-VEL") - self._raster_get_ready = PV(f"{BEAMLINE}-ES-GRD:READY.PROC") - self._raster_grid_start = PV(f"{BEAMLINE}-ES-GRD:START.PROC") - self._raster_grid_next = PV(f"{BEAMLINE}-ES-GRD:NEXT-ROW") - self._raster_scan_done = PV(f"{BEAMLINE}-ES-GRD:SCAN-DONE") - self._raster_row_done = PV(f"{BEAMLINE}-ES-GRD:ROW-DONE") - self._raster_grid_done = PV(f"{BEAMLINE}-ES-GRD:DONE") - self._var_1 = PV(f"{BEAMLINE}-ES-PSO:VAR-1") - self._var_2 = PV(f"{BEAMLINE}-ES-PSO:VAR-2") - self._var_3 = PV(f"{BEAMLINE}-ES-PSO:VAR-3") - self._var_4 = PV(f"{BEAMLINE}-ES-PSO:VAR-4") - self._var_5 = PV(f"{BEAMLINE}-ES-PSO:VAR-5") - self._var_6 = PV(f"{BEAMLINE}-ES-PSO:VAR-6") - self._var_7 = PV(f"{BEAMLINE}-ES-PSO:VAR-7") - self._var_8 = PV(f"{BEAMLINE}-ES-PSO:VAR-8") - self._var_9 = PV(f"{BEAMLINE}-ES-PSO:VAR-9") - self._var_10 = PV(f"{BEAMLINE}-ES-PSO:VAR-10") - self._zcmd = PV(f"{BEAMLINE}-ES-PSO:CMD") - self.__start_command = PV(f"{BEAMLINE}-ES-PSO:START-TEST.PROC") - self._cmd_2 = PV(f"{BEAMLINE}-ES-PSO:STOP-TEST.PROC") - self._gmy_done = PV(f"{BEAMLINE}-ES-DF1:GMY-DONE") - self._gmx_offset = PV(f"{BEAMLINE}-ES-DF1:GMX-OFF") - - pend_io(10) - - def raster_setup(self, positions, columns, angle, etime): - """configures parameters for a raster scan - - positions : a list of xyz indicating the positions of each cell - columns: an integer with how many columns - angle : the oscillation angle for each row - etime : the exposure time per cell - """ - self.set_direct_mode() - if columns == 1: - raise RuntimeWarning( - "Fast scans are not available with vertical line scans." - ) - - rows = len(positions) / columns - x1, y1, z1 = tuple(positions[0]) # first cell on first row - x2, y2, z2 = tuple(positions[1]) # second cell on first row - x4, y4, z4 = tuple(positions[columns - 1]) # last cell on first row - - if rows > 1: - x3, y3, z3 = tuple(positions[columns]) # first cell on second row - ystep = y3 - y1 - zstep = z3 - z1 - gmy_step = math.sqrt(pow(y3 - y1, 2) + pow(z3 - z1, 2)) +class AerotechController: + def __init__(self, controller_ip: str): + if controller_ip is None: + self.controller = None else: - ystep = 0.010 - zstep = 0.010 - gmy_step = 0.010 - - half_cell = abs(x2 - x1) / 2.0 - start_x = x1 - half_cell - end_x = x4 + half_cell - - self._raster_starting_x = start_x - self._raster_starting_y = y1 - self._raster_starting_z = z1 - self._raster_step_y = ystep - self._raster_step_z = zstep - self._raster_current_row = 0 - self._raster_num_rows = rows - - self._raster_x_start.put(start_x) - self._raster_x_end.put(end_x) - self._raster_omega.put(self.position) - self._raster_osc.put(angle) - self._raster_celltime.put(etime) - self._raster_y_start.put(y1) - self._raster_z_start.put(z1) - self._raster_y_step.put(ystep) - self._raster_z_step.put(zstep) - self._raster_columns.put(columns) - self._raster_rows.put(rows) - - def raster_next_row_yz(self): - r = self._raster_current_row - self._raster_current_row = r + 1 - - y, z = ( - r * self._raster_step_y + self._raster_starting_y, - r * self._raster_step_z + self._raster_starting_z, - ) - - if r < self._raster_num_rows: - return (y, z) - else: - return (None, None) - - def raster_get_y_step(self): - return self._raster_y_step.get() - - def raster_get_z_step(self): - return self._raster_z_step.get() - - def raster_get_ready(self): - self._raster_get_ready.put(1) - for n in range(10): - try: - pv_wait(self._raster_grid_done, ABR_READY, timeout=2) - except RuntimeWarning as e: - print(str(e), end=" ") - print(" --- trying again.") - self._raster_get_ready.put(1, wait=True) - - def raster_scan_row(self): - """start rastering a new row, either first or following rows""" - if ABR_READY == self._raster_grid_done.get(): - self._raster_grid_start.put(1) - poll(0.05) - else: - self._raster_grid_next.put(1) - - def is_scan_done(self): - return 1 == self._raster_scan_done.get() - - def wait_scan_done(self, timeout=60.0): - poll(0.05) - pv_wait(self._raster_scan_done, 1, timeout=timeout) - - def raster_is_row_scanning(self): - return 1 == self._raster_scan_done.get() - - def raster_wait_for_row(self): - poll(0.05) - pv_wait(self._raster_row_done, 1, timeout=60) - - def command(self, cmd): - self._zcmd.put(cmd) - poll(0.1) - - def start_command(self): - poll(0.1) - self.__start_command.put(1) - poll(0.1) - - def measure_standard(self, start, wedge, etime, ready_rate=500.0): - """measure a standard wedge from `start` to `start` + `wedge` during `etime` seconds""" - self.command(CMD_MEASURE_STANDARD) - self._var_1.put(start) - self._var_2.put(wedge) - self._var_3.put(etime) - self._var_4.put(ready_rate) - self.start_command() - - def measure_scan_slits(self, delta_x, delta_y, velocity): - """measure a standard wedge from `start` to `start` + `wedge` during `etime` seconds""" - self.command(CMD_SLIT_SCAN) - self._var_1.put(delta_x) - self._var_2.put(delta_y) - self._var_3.put(velocity) - self.start_command() - - def measure_raster_simple(self, etime, cell_width, cell_height, ncols, nrows): - """measures the specified grid assuming the goniometer is currently at the CENTER of TOP-LEFT CELL - - etime: a float in seconds - cell_width: a float in mm - cell_height: a float in mm - ncols: an int - nrows: an int - - """ - # self.reset() - self.command(CMD_RASTER_SCAN_SIMPLE) - self._raster_scan_done.put(0) # make SCAN DONE go into busy state - self._var_1.put(etime) - self._var_2.put(cell_width) - self._var_3.put(cell_height) - self._var_4.put(int(ncols)) - self._var_5.put(int(nrows)) - self._var_6.put(0) - self._var_7.put(0) - self._var_8.put(0) - self._raster_num_rows = nrows - self.start_command() - - def measure_sastt( - self, - etime, - cell_width, - cell_height, - ncols, - nrows, - even_tweak=0.0, - odd_tweak=0.0, - version=1, - ): - """measures the specified grid assuming the goniometer is currently at the CENTER of the required grid - - etime: a float in seconds - cell_width: a float in mm - cell_height: a float in mm - ncols: an int - nrows: an int - - odd_tweak, even_tweak: float, a distance to be added to the start of - the open shutter command. used on in the scan mode - version=3 - - - these values can be either positive/negative - - they should be small, i.e. just to tweak a trriggering event - by minor amounts - version: an int (1, 2, 3) - 1 = original snake scan, single PSO window - 2 = scan always from LEFT---RIGHT - 3 = snake scan alternating PSO window for even/odd rows - - """ - # self.reset() - if version == 1: - self.command(CMD_SCAN_SASTT) - elif version == 2: - self.command(CMD_SCAN_SASTT_V2) - elif version == 3: - self.command(CMD_SCAN_SASTT_V3) - else: - raise RuntimeError("non existing SAS-TT scan mode") - - self._raster_scan_done.put(0) # make SCAN DONE go into busy state - self._var_1.put(etime) - self._var_2.put(cell_width) - self._var_3.put(cell_height) - self._var_4.put(int(ncols)) - self._var_5.put(int(nrows)) - self._var_6.put(even_tweak) - self._var_7.put(odd_tweak) - self._var_8.put(0) - self._raster_num_rows = nrows - self.start_command() - - def measure_vertical_line(self, exposureTime, cellHeight, numCells): - """measure a vertical line using the GMY motor - - The line is nummCells * cellHeight long and the exposureTime is per cell. - - `cellHeight` in mm - `numCells` an integer - `exposureTime` in seconds / per cellHeight - """ - self.command(CMD_VERTICAL_LINE_SCAN) - self._var_1.put(cellHeight) - self._var_2.put(numCells) - self._var_3.put(exposureTime) - self.start_command() - - def measure_screening(self, start, oscangle, etime, degrees, frames, delta=0.5): - self.command(CMD_SCREENING) - self._var_1.put(start) - self._var_2.put(oscangle) - self._var_3.put(etime) - self._var_4.put(degrees) - self._var_5.put(frames) - self._var_6.put(delta) - self.start_command() - - def measure_fast_omega(self, start, wedge, etime, rate=200.0): - self.command(CMD_SUPER_FAST_OMEGA) - self._var_1.put(start) - self._var_2.put(wedge) - self._var_3.put(etime) - self._var_4.put(rate) - self.start_command() - - def measure_still_wedge( - self, start, wedge, etime, oscangle, sleep_after_shutter_close=0.010 - ): - self.command(CMD_STILL_WEDGE) - self._var_1.put(start) - self._var_2.put(wedge) - self._var_3.put(etime) - self._var_4.put(oscangle) - self._var_5.put(sleep_after_shutter_close) - self.start_command() - - def measure_stills(self, number_of_frames, exposure_time, idle=0.0): - """collect still images, i.e. no omega rotation - - number_of_frames => an integer - exposure_time => a float - idle => sleep in between each exposure - - IMPORTANT: use idle=0.0 to prevent shutter open/close - - """ - self.command(CMD_STILLS) - self._var_1.put(number_of_frames) - self._var_2.put(exposure_time) - self._var_3.put(idle) - self.start_command() - - def measure_repeat_singles(self, frames, etime, oscangle, sleep=0.0, delta=0.5): - self.command(CMD_REPEAT_SINGLE_OSCILLATION) - self._var_1.put(frames) - self._var_2.put(etime) - self._var_3.put(oscangle) - self._var_4.put(sleep) - self._var_5.put(delta) - self.start_command() - - def measure_single( - self, start_angle, oscillation_angle, exposure_time, delta=0.0, settle=0.0 - ): - self.command(CMD_SINGLE_OSCILLATION) - self._var_1.put(start_angle) - self._var_2.put(oscillation_angle) - self._var_3.put(exposure_time) - self._var_4.put(delta) - self._var_5.put(settle) - self.start_command() - - def measure_raster(self, positions, columns, angle, etime): - """raster via generic experiment interface""" - self.reset() - if len(positions) == 1: - raise RuntimeWarning("Raster scan with one cell makes no sense") - self.command(CMD_RASTER_SCAN) - - rows = len(positions) / columns - x1, y1, z1 = tuple(positions[0]) # first cell on first row - x2, y2, z2 = tuple(positions[1]) # second cell on first row - x4, y4, z4 = tuple(positions[columns - 1]) # last cell on first row - - if rows > 1: - x3, y3, z3 = tuple(positions[columns]) # first cell on second row - ystep = y3 - y1 - zstep = z3 - z1 - gmy_step = math.sqrt(pow(y3 - y1, 2) + pow(z3 - z1, 2)) - else: - ystep = 0.010 - zstep = 0.010 - gmy_step = 0.010 - - half_cell = abs(x2 - x1) / 2.0 - start_x = x1 - half_cell - end_x = x4 + half_cell - - self._raster_starting_x = start_x - self._raster_starting_y = y1 - self._raster_starting_z = z1 - self._raster_step_y = ystep - self._raster_step_z = zstep - self._raster_current_row = 0 - self._raster_num_rows = rows - - self._var_1.put(self.position) - self._var_2.put(start_x) - self._var_3.put(end_x) - self._var_4.put(columns) - self._var_5.put(rows) - self._var_6.put(angle) - self._var_7.put(etime) - self._var_8.put(HALF_PERIOD) - self._var_9.put(self._gmx_offset.get()) - self._var_10.put(gmy_step) - - self.start_command() - - def measure_raster_still(self, positions, columns, etime, delay): - """raster via generic experiment interface - - positions: list of coordinates for each cell - columns: how many columns in grid - etime: exposure time / cell_width - delay: delay configured in delay generator - to trigger detector after aerotech; - must be greater than actual shutter delay - """ - self.reset() - if len(positions) == 1: - raise RuntimeWarning("Raster scan with one cell makes no sense") - self.command(CMD_RASTER_SCAN_STILL) - - rows = len(positions) / columns - x1, y1, z1 = tuple(positions[0]) # first cell on first row - x2, y2, z2 = tuple(positions[1]) # second cell on first row - x4, y4, z4 = tuple(positions[columns - 1]) # last cell on first row - - if rows > 1: - x3, y3, z3 = tuple(positions[columns]) # first cell on second row - ystep = y3 - y1 - zstep = z3 - z1 - gmy_step = math.sqrt(pow(y3 - y1, 2) + pow(z3 - z1, 2)) - else: - ystep = 0.010 - zstep = 0.010 - gmy_step = 0.010 - - half_cell = abs(x2 - x1) / 2.0 - start_x = x1 - half_cell - end_x = x4 + half_cell - - self._raster_starting_x = start_x - self._raster_starting_y = y1 - self._raster_starting_z = z1 - self._raster_step_y = ystep - self._raster_step_z = zstep - self._raster_current_row = 0 - self._raster_num_rows = rows - - self._var_1.put(self.position) - self._var_2.put(start_x) - self._var_3.put(end_x) - self._var_4.put(columns) - self._var_5.put(rows) - self._var_6.put(delay) - self._var_7.put(etime) - self._var_8.put(HALF_PERIOD) - self._var_9.put(self._gmx_offset.get()) - self._var_10.put(gmy_step) - - self.start_command() - - def measure_jungfrau(self, columns, rows, width, height, etime, sleep=0.100): - """for Jungfrau, grid from current position""" - self.reset() - self.command(CMD_JUNGFRAU) - self._var_1.put(columns) - self._var_2.put(rows) - self._var_3.put(height) - self._var_4.put(width) - self._var_5.put(etime) - self._var_6.put(sleep) - self._var_7.put(0.0) - self._var_8.put(0.0) - self._var_9.put(0.0) - self._var_10.put(0.0) - - self.start_command() - if sleep > 0: - timeout = 5.0 + (rows * sleep) + (columns * rows * etime) - else: - timeout = None - - if timeout: - pv_wait(self._raster_scan_done, GRID_SCAN_DONE, timeout) - self.set_direct_mode() - - def measure_msox(self, start, wedge, etime, num_datasets=1, rest_time=0.0): - """for msox - start = start omega - wedge = total range to measure - etime = total time for wedge - num_datasets = how many times to repeat - rest_time = how many seconds to rest in between datasets - """ - self.reset() - self.command(CMD_MSOX) - self._var_1.put(start) - self._var_2.put(wedge) - self._var_3.put(etime) - self._var_4.put(num_datasets) - self._var_5.put(rest_time) - self._var_6.put(0) - self._var_7.put(0) - self._var_8.put(0) - self._var_9.put(0) - self._var_10.put(0) - - self.start_command() - - def next_row(self): - """start rastering a new row""" - self._raster_grid_next.put(1) - - def configure_stills(self, frames, etime, sleep=0.0): - self._var_1.put(frames) - self._var_2.put(etime) - self._var_3.put(sleep) - - def reset(self): - self.command(CMD_NONE) - self.set_direct_mode() - - def raster_2d(self): - pass - - def is_ioc_ok(self): - return 0 == self.__pv_stat.get() - - def is_ready_and_willing(self): - return self.is_ioc_ok() and self.is_homed() - - def is_omega_ok(self): - return 0 == self.__pv_omega_status.get() - - def is_homed(self): - """Are the motors homed?""" - return 1 == self.__pv_ishomed.get() - - def do_homing(self, wait=True): - """Execute the homing procedure. - - Executes the homing procedure and waits (default) until it is completed. - - PARAMETERS - `wait` true / false if the routine is to wait for the homing to finish. - """ - self.__pv_dohome.put(1, wait=True) - poll(1.0) - if not wait: - return - while not self.is_homed(): - poll(0.2) - - def __setattr__(self, name, value): - """Overwrite __setattr__ for pythonic access. - - This is in principle unnecessary but it results in clear code. - - Carefull when modifying this! - """ - if name == "velo": - self.__pv_omega_velo.put(value, wait=True) - elif name == "omega": - self.__pv_omega_set.put(value, wait=True) - elif name == "position": - self.__pv_omega_set.put(value, wait=True) - elif name == "exposure_time": - self.__pv_etime.put(value, wait=True) - elif name == "start_angle": - self.__pv_ostart.put(value, wait=True) - elif name == "oscillation_angle": - self.__pv_orange.put(value, wait=True) - elif name == "measurement_state": - self.__pv_phase.put(value, wait=True) - elif name == "shutter": - self.set_shutter(value) - elif name == "mode": - self.set_mode(value) - else: - self.__dict__[name] = value - - def __getattr__(self, name): - """Overwrite __getattr__ for pythonic access. - - This is in principle unnecessary but it results in clear code. - - Carefull when modifying this! - """ - if name == "velo": - value = self.__pv_omega_velo.get() - elif name == "omega": - value = self.__pv_omega_get.get() - elif name == "position": - value = self.__pv_omega_get.get() - elif name == "exposure_time": - value = self.__pv_etime.get() - elif name == "start_angle": - value = self.__pv_ostart.get() - elif name == "oscillation_angle": - value = self.__pv_orange.get() - elif name == "measurement_state": - value = self.__pv_phase.get() - elif name == "shutter": - value = self.__pv_shutter_get.get() - elif name == "mode": - value = self.get_mode() - else: - raise AttributeError("unknown attribute") - return value - - def get_ready(self, ostart=None, orange=None, etime=None, wait=True): - self.wait_for_movements() - if self.measurement_state == ABR_BUSY: - raise RuntimeError("ABR is not DONE!!!!") - - if self.measurement_state == ABR_READY: - self.measurement_state = ABR_DONE - - if ostart is not None: - self.__pv_ostart.put(ostart, wait=True) - if orange is not None: - self.__pv_orange.put(orange, wait=True) - if etime is not None: - self.__pv_etime.put(etime, wait=True) - - self.__pv_get_ready.put(1, wait=True) - - poll(0.1) - - if wait: - for n in range(10): - try: - self.wait_status(ABR_READY, timeout=5) - except RuntimeWarning as e: - print(str(e), end=" ") - print(" --- trying ready again.") - self.__pv_get_ready.put(1, wait=True) - - def wait_for_movements(self, timeout=60.0): - timeout = timeout + time.time() - timeisup = False - - try: - moving = self.is_moving() - except: - moving = True - - while not timeisup and moving: - poll(0.1) - try: - moving = self.is_moving() - except: - print( - "Aerotech() Failed to retrieve moving state for axes omega, gmx, gmy, gmz" - ) - moving = True - timeisup = timeout < time.time() - - if timeisup: - raise RuntimeWarning("timeout waiting for all axis to stop moving") - - def is_moving(self): - return not ( - self.__pv_omega_done.get() - and self.__pv_gmx_done.get() - and self.__pv_gmy_done.get() - and self.__pv_gmz_done.get() - ) - - def is_done(self): - """Is the measurement DONE?""" - return ABR_DONE == self.__pv_phase.get() - - def is_ready(self): - """Is the measurement READY to start?""" - return ABR_READY == self.__pv_phase.get() - - def is_busy(self): - """Is the measurement currently BUSY (executing)?""" - return ABR_BUSY == self.__pv_phase.get() - - def stop(self, wait_after_reload=1.0): - """Stops current motions; reloads aerobasic programs; goes DIRECT - - This will stop movements in both DIRECT and MEASURING modes. During the - stop the `status` temporarely goes to ERROR but reverts to OK after a - couple of seconds. - - """ - self.__pv_stop.put(1, wait=True) - poll(wait_after_reload) - self.reset() - poll(0.1) - - reload_programs = stop - - def start_exposure(self): - """Starts the previously configured exposure.""" - self.wait_for_movements() - self.__pv_start.put(1) - for n in range(10): - try: - self.wait_status(ABR_BUSY, timeout=1) - except RuntimeWarning as e: - print(str(e), end=" ") - print(" --- trying start again.") - self.__pv_start.put(1, wait=True) - - def wait_status(self, status, timeout=60.0): - """Wait for the Aertotech IOC to reach the desired `status`. - - PARAMETERS - `status` can be any the three ABR_DONE, ABR_READY or ABR_BUSY. - - NO RETURN - """ - st = self.__pv_phase.get() - timeout = timeout + time.time() - timeisup = False - while not timeisup and status != st: - poll(0.05) - st = self.__pv_phase.get() - timeisup = timeout < time.time() - - if timeisup: - raise RuntimeWarning( - "timeout waiting for abr status to change to %d: current status => %d" - % (status, st) - ) - - def get_mode(self, as_string=False): - return self.__pv_axes_mode.get(as_string=as_string) - - def is_measuring_mode(self): - return MEASURING_MODE == self.get_mode() - - def __set_direct_mode_v2(self): - """Sets the Abr to direct mode.""" - self.__pv_direct_mode.put(37, wait=True) - poll(0.1) - - def __lock_device_v1(self): - self.__pv_axes_mode.put(MEASURING_MODE, wait=True) - poll(0.1) - - def __lock_device_v2(self): - self.__pv_lock.put(1, wait=True) - poll(0.1) - - def lock_device(self): - self.__pv_lock.put(1, wait=True) - poll(0.1) - - def is_locked(self): - lpv = self.__pv_lock - if lpv is not None: - return 0 != self.get_mode() - else: - return 1 == self.get_mode() - - def velo(self, axis: int, speed: float | None = None) -> float: - """set's the speed on the given axis to speed""" - pv_velo: PV - if AXIS_GMX == axis: - velo_pv = self.__pv_gmx_velo - min, max = 0.01, 100.0 - elif AXIS_GMY == axis: - velo_pv = self.__pv_gmy_velo - min, max = 0.01, 10.0 - elif AXIS_GMZ == axis: - velo_pv = self.__pv_gmz_velo - min, max = 0.01, 10.0 - elif AXIS_OMEGA == axis: - velo_pv = self.__pv_omega_velo - min, max = 0.01, 720.0 - else: - raise Exception("unknown axis index") - - if speed is not None and velo_pv is not None: - if not (min <= speed <= max): - raise Exception( - f"requested speed {speed} outside range {min} < speed < {max}" - ) - velo_pv.put(speed) - poll(0.05) - return velo_pv.get() # type: ignore - - def select_axis(self, axis): - """returns PVs and limits for the given axis - - axis: Aerotech.AXIS_{OMEGA=1, GMX=2, GMY=3, GMZ=4} - - return (val_pv, rbv_pv, velo_pv, done_pv, velomin, velomax) - """ - - if AXIS_GMX == axis: - val_pv = self.__pv_gmx_val - rbv_pv = self.__pv_gmx_rbv - velo_pv = self.__pv_gmx_velo - done_pv = self.__pv_gmx_done - min, max = 0.01, 100.0 - elif AXIS_GMY == axis: - val_pv = self.__pv_gmy_val - rbv_pv = self.__pv_gmy_rbv - velo_pv = self.__pv_gmy_velo - done_pv = self.__pv_gmy_done - min, max = 0.01, 10.0 - elif AXIS_GMZ == axis: - val_pv = self.__pv_gmz_val - rbv_pv = self.__pv_gmz_rbv - velo_pv = self.__pv_gmz_velo - done_pv = self.__pv_gmz_done - min, max = 0.01, 10.0 - elif AXIS_OMEGA == axis: - val_pv = self.__pv_omega_set - rbv_pv = self.__pv_omega_get - velo_pv = self.__pv_omega_velo - done_pv = self.__pv_omega_done - min, max = 0.01, 720.0 - else: - raise Exception("unknown axis index") - - return (val_pv, rbv_pv, velo_pv, done_pv, min, max) - - def incr(self, axis, val, wait=False, velo=None): - (val_pv, rbv_pv, velo_pv, done_pv, min, max) = self.select_axis(axis) - cur = rbv_pv.get() # type: ignore - cv = velo_pv.get() # type: ignore - - if velo: - self.velo(axis, velo) - - val_pv.put(cur + val) - if wait: - poll(0.2) - pv_wait(done_pv, 1) - - if velo: - self.velo(axis, cv) - - def incr_x(self, val, wait=False, velo=None): - """increments GMX by val""" - self.incr(AXIS_GMX, val, wait=wait, velo=velo) - - def incr_y(self, val, wait=False, velo=None): - """increments GMY by val""" - self.incr(AXIS_GMY, val, wait=wait, velo=velo) - - def incr_z(self, val, wait=False, velo=None): - """increments GMZ by val""" - self.incr(AXIS_GMZ, val, wait=wait, velo=velo) - - def incr_omega(self, val, wait=False, velo=None): - """increments OMEGA by val""" - self.incr(AXIS_OMEGA, val, wait=wait, velo=velo) - - def move_x(self, val, wait=False, velo=None): - if velo is not None: - oldv = self.__pv_gmx_velo.get() - self.__pv_gmx_velo.put(velo) - velo = oldv - self.move_axis(AXIS_GMX, val, wait) - if velo is not None: - self.__pv_gmx_velo.put(velo) - - def move_y(self, val, wait=False): - self.move_axis(AXIS_GMY, val, wait) - - def move_z(self, val, wait=False): - self.move_axis(AXIS_GMZ, val, wait) - - def move_axis(self, axis, pos, wait=False): - axis_motor = None - if DIRECT_MODE != self.mode: - self.set_direct_mode() - if axis == AXIS_OMEGA: - self.move(pos) - else: - if axis == AXIS_GMX: - axis_motor = self.__pv_gmx_val.put - elif axis == AXIS_GMY: - axis_motor = self.__pv_gmy_set.put - elif axis == AXIS_GMZ: - axis_motor = self.__pv_gmz_set.put - if axis_motor: - axis_motor(pos) - - if wait: - self.wait_for_movements() - - def rbv(self): - x = self.__pv_gmx_rbv.get() - y = self.__pv_gmy_get.get() - z = self.__pv_gmz_get.get() - omega = self.__pv_omega_get.get() - return {"gmx": x, "gmy": y, "gmz": z, "omega": omega} - - def move(self, angle, *, wait=False, speed=None, direct=False): - """Move omega to `angle` at `speed` deg/s and `wait` (or not). - - If a `speed` is specified, it will be used for the movement but the speed - setting will be reverted to its old value afterwards. - - If `wait` is true, the routine waits until the omega position is close - to within 0.01 degrees to the target or that a timeout occured. The - timeout is the time required for the movement plus 5 seconds. - - In case of a timeout a RuntimeWarning is raised. - - PARAMETERS: - `angle` [degrees] a float specifying where to move to. - No limits. - `speed` [degrees/s] a float specifying speed to move at. - Limits: 0 - 360 - `wait` [boolean] wait or not for movement to finish. - """ - angle = float(angle) - if speed is not None: - speed = float(speed) - if DIRECT_MODE != self.mode: - if direct: - self.set_direct_mode() - else: - raise RuntimeWarning("abr is not in direct mode!") - oget = self.__pv_omega_get - oset = self.__pv_omega_set - vel = self.__pv_omega_velo - odone = self.__pv_omega_done - - cur = oget.get() - ovelo = vel.get() - if speed is not None: - vel.put(speed, wait=True) - poll(0.01) - velo = vel.get() - oset.put(angle, wait=True) - if not wait: - vel.put(ovelo, wait=True) - return - poll(0.01) - timeout = 30.0 + time.time() + abs(angle - cur) / velo # type: ignore - waited_time = timeout - 10.0 - while waited_time < timeout and abs(oget.get() - angle) > 0.01: # type: ignore - poll(0.05) - if not self.is_ioc_ok(): - raise RuntimeError("Aerotech IOC has an error status.") - if not self.is_omega_ok(): - raise RuntimeError("Aerotech OMEGA axis has an error status.") - waited_time = time.time() - if waited_time > timeout: - raise RuntimeError("Timeout on OMEGA movement.") - vel.put(ovelo, wait=True) - - def set_shutter(self, state): - if self.__pv_axes_mode.get(): - print("ABR is not in direct mode; cannot manipulate shutter") - return False - state = str(state).lower() - if state not in ["1", "0", "closed", "open"]: - print("unknown shutter state requested") - return None - elif state in ["1", "open"]: - state = 1 - elif state == ["0", "closed"]: - state = 0 - self.__pv_shutter_set.put(state, wait=True) - return state == self.__pv_shutter_get.get() + self.controller = a1.Controller.connect(controller_ip) + self.start_controller() + + def start_controller(self): + self.controller.start() + + def disconnect(self): + self.controller.disconnect() + + def enable_motion(self, axis: str): + self.controller.runtime.commands.motion.enable(axis.upper()) + + def home_motor(self, axis: str): + self.controller.runtime.commands.motion.home(axis.upper()) + + +class AerotechRunEnum(Enum): + STOP = 0 + START = 1 + RUN = 2 + LOAD = 3 + PAUSE = 4 + RESET = 5 + + +class AerotechControllerEpics: + def __init__(self, beamline: MXBeamline): + BEAMLINE = beamline.value.upper() + aerotech_pv_prefix = f"{BEAMLINE}-ES-DF1" + trx_prefix = f"{aerotech_pv_prefix}:TRX1" + try_prefix = f"{aerotech_pv_prefix}:TRY1" + trz_prefix = f"{aerotech_pv_prefix}:TRZ1" + rotu_prefix = f"{aerotech_pv_prefix}:ROTU" + self.gmx = MyMotor(trx_prefix) + self.gmy = MyMotor(try_prefix) + self.gmz = MyMotor(trz_prefix) + self.omega = MyMotor(rotu_prefix) + self.__enable_all = EnumPv(f"{aerotech_pv_prefix}:EnableAll") + self.__disable_all = EnumPv(f"{aerotech_pv_prefix}:DisableAll") + self.__acknowledge_all = EnumPv(f"{aerotech_pv_prefix}:AckAll") + self.__stop_all = EnumPv(f"{aerotech_pv_prefix}:StopAll") + self.__task_filename = PV(f"{aerotech_pv_prefix}:TASK:FILENAME") + self.__task_id = EnumPv(f"{aerotech_pv_prefix}:TASK:TASKIDX") # values can be 1 to 4 DO NOT USE 0!!!! + self.__task_run_enum = EnumPv(f"{aerotech_pv_prefix}:TASK:SWITCH") # 0 Stop, 1 Start, 2 Run, + # 3 Load, 4 Pause, 5 Reset + self.enable_all() + + def enable_all(self): + self.__enable_all.put(1) + self.__enable_all.put(0) + + def acknowledge_all(self): + self.__acknowledge_all.put(1) + self.__acknowledge_all.put(0) + + def _disable_all(self): + self.__disable_all.put(1) + self.__disable_all.put(0) + + def stop_all(self): + self.__stop_all.put(1) + self.__stop_all.put(0) + + def __task_stop(self): + self.__task_run_enum.put(AerotechRunEnum.STOP) + + def __task_start(self): + self.__task_run_enum.put(AerotechRunEnum.START) + + def __task_run(self): + self.__task_run_enum.put(AerotechRunEnum.RUN) + + def __task_pause(self): + self.__task_run_enum.put(AerotechRunEnum.PAUSE) + + def __task_load(self): + self.__task_run_enum.put(AerotechRunEnum.LOAD) + + def __task_reset(self): + self.__task_run_enum.put(AerotechRunEnum.RESET) + + def __set_task_id(self, task_id: int): + if task_id not in range(1, 5): + raise ValueError(f"Invalid task id {task_id}") + self.__task_id.put(task_id) + + def home_all(self): + self.__task_id.put(2) + self.__task_reset() + self.__task_filename.put("home_all.a1exe") + self.__task_load() + self.__task_start() if __name__ == "__main__": - import argparse + beamline = mx_beamline() + print(beamline) + ### test on 10S + aerotech = AerotechController(controller_ip="129.129.118.96") + aerotech.enable_motion("X") + aerotech.home_motor("X") + aerotech.disconnect() - parser = argparse.ArgumentParser(description="aerotech client") - parser.add_argument( - "--stop", help="stop/reset/restart aerotech", action="store_true" - ) - parser.add_argument( - "--sanitize-speeds", - help="reset speeds on axis to sane defaults", - action="store_true", - ) - parser.add_argument( - "--measure-standard", help="measure a standard dataset", action="store" - ) - parser.add_argument("--omega", help="move omega to...", action="store") - parser.add_argument("--gmx", help="move gmx to...", action="store") - parser.add_argument("--gmy", help="move gmy to...", action="store") - parser.add_argument("--gmz", help="move gmz to...", action="store") - args = parser.parse_args() - - abr = Abr() - if args.stop: - abr.stop() - - elif args.sanitize_speeds: - abr.velo(AXIS_GMX, 50.0) - abr.velo(AXIS_GMY, 10.0) - abr.velo(AXIS_GMZ, 10.0) - abr.velo(AXIS_OMEGA, 180.0) - - elif args.gmx: - abr.move_x(args.gmx) - - elif args.measure_standard: - start_angle, total_range, total_time = args.measure_standard.split(",") - abr.measure_standard(start_angle, total_range, total_time) + aerotech_epics = AerotechControllerEpics(beamline) + aerotech_epics.home_all() From f96e34864b58fe9b862e2d77f0412e620f2c2cd0 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 15 Jan 2026 17:09:00 +0100 Subject: [PATCH 014/144] DAQ: update aerotech to not use Enum or EnumPv for debugging purposes --- src/aare/devices/aerotech.py | 41 ++++++++++++++++++++---------------- 1 file changed, 23 insertions(+), 18 deletions(-) diff --git a/src/aare/devices/aerotech.py b/src/aare/devices/aerotech.py index bb8028ef..47e532fa 100644 --- a/src/aare/devices/aerotech.py +++ b/src/aare/devices/aerotech.py @@ -54,13 +54,13 @@ class AerotechControllerEpics: self.gmy = MyMotor(try_prefix) self.gmz = MyMotor(trz_prefix) self.omega = MyMotor(rotu_prefix) - self.__enable_all = EnumPv(f"{aerotech_pv_prefix}:EnableAll") - self.__disable_all = EnumPv(f"{aerotech_pv_prefix}:DisableAll") - self.__acknowledge_all = EnumPv(f"{aerotech_pv_prefix}:AckAll") - self.__stop_all = EnumPv(f"{aerotech_pv_prefix}:StopAll") + self.__enable_all = PV(f"{aerotech_pv_prefix}:EnableAll") + self.__disable_all = PV(f"{aerotech_pv_prefix}:DisableAll") + self.__acknowledge_all = PV(f"{aerotech_pv_prefix}:AckAll") + self.__stop_all = PV(f"{aerotech_pv_prefix}:StopAll") self.__task_filename = PV(f"{aerotech_pv_prefix}:TASK:FILENAME") - self.__task_id = EnumPv(f"{aerotech_pv_prefix}:TASK:TASKIDX") # values can be 1 to 4 DO NOT USE 0!!!! - self.__task_run_enum = EnumPv(f"{aerotech_pv_prefix}:TASK:SWITCH") # 0 Stop, 1 Start, 2 Run, + self.__task_id = PV(f"{aerotech_pv_prefix}:TASK:TASKIDX") # values can be 1 to 4 DO NOT USE 0!!!! + self.__task_run_enum = PV(f"{aerotech_pv_prefix}:TASK:SWITCH") # 0 Stop, 1 Start, 2 Run, # 3 Load, 4 Pause, 5 Reset self.enable_all() @@ -81,22 +81,22 @@ class AerotechControllerEpics: self.__stop_all.put(0) def __task_stop(self): - self.__task_run_enum.put(AerotechRunEnum.STOP) + self.__task_run_enum.put(0) def __task_start(self): - self.__task_run_enum.put(AerotechRunEnum.START) + self.__task_run_enum.put(1) def __task_run(self): - self.__task_run_enum.put(AerotechRunEnum.RUN) + self.__task_run_enum.put(2) def __task_pause(self): - self.__task_run_enum.put(AerotechRunEnum.PAUSE) + self.__task_run_enum.put(3) def __task_load(self): - self.__task_run_enum.put(AerotechRunEnum.LOAD) + self.__task_run_enum.put(4) def __task_reset(self): - self.__task_run_enum.put(AerotechRunEnum.RESET) + self.__task_run_enum.put(5) def __set_task_id(self, task_id: int): if task_id not in range(1, 5): @@ -104,21 +104,26 @@ class AerotechControllerEpics: self.__task_id.put(task_id) def home_all(self): + #self.__task_id.put(2) + #self.__task_reset() self.__task_id.put(2) - self.__task_reset() + print(self.__task_id.get()) self.__task_filename.put("home_all.a1exe") + print(self.__task_filename.get()) self.__task_load() - self.__task_start() + print(self.__task_run_enum.get()) + self.__task_run() + print(self.__task_run_enum.get()) if __name__ == "__main__": beamline = mx_beamline() print(beamline) ### test on 10S - aerotech = AerotechController(controller_ip="129.129.118.96") - aerotech.enable_motion("X") - aerotech.home_motor("X") - aerotech.disconnect() + #aerotech = AerotechController(controller_ip="129.129.118.96") + #aerotech.enable_motion("X") + #aerotech.home_motor("X") + #aerotech.disconnect() aerotech_epics = AerotechControllerEpics(beamline) aerotech_epics.home_all() From 736256900698b7120847732b92aed99dbde9b589 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 15 Jan 2026 17:09:16 +0100 Subject: [PATCH 015/144] DAQ: devices added functionality for aerotech omega and zoom control --- src/aare/daq/devices.py | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/src/aare/daq/devices.py b/src/aare/daq/devices.py index a7957d70..70f13710 100644 --- a/src/aare/daq/devices.py +++ b/src/aare/daq/devices.py @@ -13,8 +13,9 @@ from epics import PV from aare.common.beamline import MXBeamline from aare.common.coordinate import Coordinate, SmargonCoordinate from aare.common.models import SampleCameraSettings, StagePositionEnum -from aare.devices import smargon +from aare.devices import smargon, aerotech from aare.devices.area_detector import epicsAD +from aare.devices.enum_pv import EnumPv from aare.devices.my_motor import MyMotor @@ -26,6 +27,9 @@ class BeamlineDevices: self.__ring_current_pv = PV(f"ARS07-DPCT-0100:CURR") self.__dtz = MyMotor(f"{BEAMLINE}-ES-DET:TRZ") self.__sample_cam = epicsAD(f"{BEAMLINE}-SAMCAM:") + self.__back_light = EnumPv(f"{BEAMLINE}-ES-BL") + self.__zoom = PV("{BEAMLINE}-ES-SAMCAM:ZOOM") + self.__aerotech = aerotech.AerotechControllerEpics(beamline) # Transmission @property @@ -50,14 +54,14 @@ class BeamlineDevices: # Zoom @property def zoom(self) -> float: - return 0 + return self.__zoom.get() @zoom.setter def zoom(self, value: float): self.set_zoom(value, wait=False) def set_zoom(self, value: float, /, wait: bool = True): - pass + self.__zoom.put(value, wait=wait) # Collimator @property @@ -189,14 +193,14 @@ class BeamlineDevices: @property def aerotech_omega(self) -> float: - return 0.0 + return self.__aerotech.omega.readback @aerotech_omega.setter def aerotech_omega(self, val: float): self.set_omega(val, wait=True) def set_aerotech_omega(self, val: float, /, wait: bool = True): - pass + self.__aerotech.omega.move(val, wait=wait) @property def aerotech_lock(self) -> bool: From 8a25ae256812aad36831d4d30919e423f09c445b Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 15 Jan 2026 17:09:25 +0100 Subject: [PATCH 016/144] DAQ: rewrite of EnumPv --- src/aare/devices/enum_pv.py | 204 +++++++++++++++++------------------- 1 file changed, 96 insertions(+), 108 deletions(-) diff --git a/src/aare/devices/enum_pv.py b/src/aare/devices/enum_pv.py index ce500b47..4e9ae9f0 100755 --- a/src/aare/devices/enum_pv.py +++ b/src/aare/devices/enum_pv.py @@ -1,126 +1,114 @@ -from typing import cast +import time +from enum import Enum +from typing import Union, Optional +from epics import PV, Motor, poll -from epics import PV - -from .mx_lib import ValueWaitTimeout, pv_wait +class ValueWaitTimeout(Exception): + """Raised when a PV fails to reach a target value within the timeout period.""" + pass -class EnumPv(object): - def __init__(self, args): - mandatory_args = {"pv", "readback", "states"} - supplied_args = set(args.keys()) - if not mandatory_args.issubset(supplied_args): - raise RuntimeError("Missing arguments: %s" % (", ".join(mandatory_args.difference(supplied_args)))) +def pv_wait(pv: Union[PV, Motor], target: Union[str, int, float], timeout: float = 30.0, + polling: float = 0.1, tolerance: float | None = None): + """ + Unified wait function for Motors and PVs (Strings, Enums, Floats). + """ + start_time = time.monotonic() + end_time = start_time + timeout - if type(args["states"]) is not dict: - raise RuntimeError("states must be a dictionary mapping put/readback for waiting purposes") + # Handle Motors + if isinstance(pv, Motor): + if tolerance is None: + # Try to get the motor resolution/deadband + tolerance = pv.get("RDBD") or 0.01 - self.val = PV(args["pv"]) - self.rbv = PV(args["readback"]) + while time.monotonic() < end_time: + if pv.done_moving and abs(pv.readback - target) <= tolerance: + return + poll(polling) - if "name" in args: - self.device_name = args["name"] - else: - self.device_name = self.val.pvname - - if not hasattr(self.val, "enum_strs"): - raise RuntimeError("PV %s does not have enum_strs" % self.val.pvname) - if not hasattr(self.rbv, "enum_strs"): - raise RuntimeError("PV %s does not have enum_strs" % self.rbv.pvname) - - self.__target = None - - p = args.get("move_done_when") - if p is not None: - self.__wait_pv = PV(p[0]) - self.__wait_target = p[1] - else: - self.__wait_pv = None - self.__wait_target = None - - self.states = {} - for k, v in list(args["states"].items()): - self.states[k.upper()] = v.upper() - - self.val_enums = [x.upper() for x in self.val.enum_strs] # type: ignore - self.rbv_enums = [x.upper() for x in self.rbv.enum_strs] # type: ignore - - if "timeout" not in args: - self.__timeout = 60 # seconds - else: - self.__timeout = args["timeout"] - - def __str__(self): - return f"<{self.device_name} at {self.position}>" - - def __repr__(self): - s = ( - f"<{self.device_name} at {self.position} an {self.__class__.__name__} " - f"instance at {hex(id(self))} positions = {self.positions}>" + raise ValueWaitTimeout( + f"Motor {pv.name} timeout. Target: {target}, Current: {pv.readback}, Done: {pv.done_moving}" ) - return s - def has_position(self, position): - return position.upper() in self.states + # Handle PVs (Enums, Strings, Doubles) + pv_type = (pv.type or "").lower() + is_enum = "enum" in pv_type + is_string = "string" in pv_type + + while time.monotonic() < end_time: + # Get current value: as string for Enums/Strings, as raw value for others + as_string = isinstance(target, str) or is_enum or is_string + current = pv.get(as_string=as_string) + + if current is not None: + # Comparison logic + if isinstance(target, str): + if str(current).strip().lower() == target.strip().lower(): + return + elif isinstance(target, (int, float)): + if tolerance is None: + # Default tolerance based on PV precision + prec = getattr(pv, 'precision', 3) or 3 + tolerance = 10 ** -prec + + if abs(float(current) - float(target)) <= tolerance: + return + + poll(polling) + + # If we exit the loop, we timed out + final_val = pv.get(as_string=isinstance(target, str)) + raise ValueWaitTimeout(f"PV {pv.pvname} timeout. Target: {target}, Current: {final_val}") + +def wait_for_movement_to_finish(*motors: Motor, timeout: float = 60.0): + """Wait for a group of motors to stop moving.""" + start_time = time.time() + while not all(m.done_moving for m in motors): + if time.time() - start_time > timeout: + moving = [m.name for m in motors if not m.done_moving] + raise TimeoutError(f"Timeout waiting for motors: {', '.join(moving)}") + poll(0.1) + +class EnumPv: + def __init__(self, pv_name: str, rbv_name: Optional[str] = None, timeout: float = 60.0): + self.control = PV(pv_name) + # If no readback is provided, assume the control PV reflects its own state + self.readback = PV(rbv_name) if rbv_name else self.control + self.timeout = timeout + + # Verify these are actually enums + if not self.control.enum_strs: + raise RuntimeError(f"{pv_name} is not an ENUM PV") @property - def positions(self): - return self.rbv_enums + def position(self) -> str: + """Returns the current string value of the readback.""" + return self.readback.get(as_string=True) - def __position(self) -> str: - return self.rbv.enum_strs[self.rbv.get()] # type: ignore + def get(self) -> int: + """Returns the current integer index of the readback.""" + return int(self.readback.get()) - position = property(__position) + def put(self, value: Union[str, int, Enum], wait: bool = False): + """ + Set the PV value. + Accepts string names, integer indices, or Python Enum members. + """ + # Extract value if a Python Enum was passed + val_to_put = value.value if isinstance(value, Enum) else value - def position_is(self, position) -> bool: - if type(position) in (int, float): - return int(position) == self.get() - else: - return str(position).upper() == str(self.__position()).upper() + self.control.put(val_to_put) - def get(self, req_type=None) -> str | int: - if req_type: - res = self.position - else: - res = cast(int, self.rbv.get()) - return res - - def put(self, value, wait=False) -> None: - self.val.put(value) - self.__target = self.rbv_enums.index(self.states[self.val_enums[value]]) if wait: - self.wait() + self.wait(val_to_put) - def move(self, position, wait=False) -> None: - if type(position) is not int: - if not self.has_position(position): - raise ValueError(f"Invalid position {position} for {self.device_name}") - target = self.val_enums.index(position.upper()) - else: - target = position - - self.put(target, wait=wait) - - def equal_dbr_string(self, val) -> bool: - value = self.rbv.get(as_string=True) - return cast(str, value).lower() == val.lower() - - def equal_dbr_int(self, val) -> bool: - return val == self.rbv.get() - - def wait(self, target=None): - if target is None: - target = self.__target - - if self.__wait_pv: - pv = self.__wait_pv - else: - pv = self.rbv - - if target is None: - target = self.__wait_target + def wait(self, target: Union[str, int, Enum]): + """Blocks until the readback matches the target value.""" + # Convert Enum or name to the format pv_wait expects + wait_val = target.name if isinstance(target, Enum) else target try: - pv_wait(pv, target, timeout=self.__timeout, verbose=True) - except ValueWaitTimeout: - raise ValueWaitTimeout(f"Timeout waiting for device to reach [{target}], currently at [{self.position}]") + pv_wait(self.readback, wait_val, timeout=self.timeout) + except Exception as e: + raise ValueWaitTimeout(f"Timed out waiting for {self.readback.pvname} to reach {wait_val}") from e \ No newline at end of file From fa8d63ba03affd1ab10283770196d005ea0fa898 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 15 Jan 2026 17:09:55 +0100 Subject: [PATCH 017/144] DAQ: rewrite of my_motor class to wrap furtehr functionality of the epics class --- src/aare/devices/my_motor.py | 113 +++++++++++++++++++++++++---------- 1 file changed, 80 insertions(+), 33 deletions(-) diff --git a/src/aare/devices/my_motor.py b/src/aare/devices/my_motor.py index 3727b3d9..97ab3603 100644 --- a/src/aare/devices/my_motor.py +++ b/src/aare/devices/my_motor.py @@ -4,50 +4,97 @@ from epics import Motor class MyMotor(Motor): - def __init__(self, name): - super().__init__(name.upper()) + def __init__(self, name, timeout=5.0): + super().__init__(name.upper(), timeout=timeout) @property def speed(self): + """Gets the current motor.slew_speed value""" return self.slew_speed @speed.setter - def speed(self, speed): - self.slew_speed = speed - - @property - def pvname(self): - return self._prefix[:-1] - - def __readback(self): - return self.readback - - position = property(__readback) - - def __value(self): - return self.drive - - value = property(__value) - - -class BogusMotor: - def __init__(self, name, **kwargs): - self.name = name - self.readback = kwargs.get("readback", 0.0) - self.target = kwargs.get("target", 0.0) - self.velo = kwargs.get("velo", 10.0) + def speed(self, v): + """Sets the motor slew speed""" + self.slew_speed = v @property def position(self): + """Gets the current motor readback value""" return self.readback - def move(self, target, wait=False): + @property + def value(self): + """Gets the current motor.drive value""" + return self.drive + + @value.setter + def value(self, v): + """Sets motor.drive to a set value""" + self.drive = v + + def stop(self): + """Stops the motor""" + self.stop_motor() + + @property + def moving(self): + """Returns True if the motor is moving""" + return bool(self.moving_flag) + + @property + def units(self): + """Returns the units of the motor as a string""" + return self.get("EGU", as_string=True) + + @property + def limits(self): + """Returns (low_limit, high_limit)""" + return self.get('HLM'), self.get('LLM') + + @limits.setter + def limits(self, limits): + """Sets (low_limit, high_limit)""" + low, high = limits + self.put('LLM', low) + self.put('HLM', high) + + def move_motor(self, val, relative=False, wait=False, timeout=300.0): + """ + Moves the motor to an absolute or relative position. + :param val: Position to move to + :param relative: If True, moves relative to current position + :param wait: If True, waits for completion (synchronous) + :param timeout: Maximum time to wait for completion + """ + return self.move(val, relative=relative, wait=wait, timeout=timeout) + + def home(self, direction='forward', wait=False): + """ + Homes the motor. + :param direction: 'forward' or 'reverse' + """ + field = 'HOMF' if direction == 'forward' else 'HOMR' + self.put(field, 1) if wait: - time.sleep(abs(target - self.readback) / self.velo) - self.readback = target + self.wait_for_stop() - def refresh(self): - pass + def wait_for_stop(self, timeout=300.0, poll_rate=0.01): + """ + Synchronous wait until the motor stops moving. + """ + start_time = time.time() + while self.moving: + time.sleep(poll_rate) + if time.time() - start_time > timeout: + raise RuntimeError(f"Timeout waiting for motor {self.name} to stop") - def get_position(self, *args, **kwargs): - return self.readback + async def wait_for_stop_async(self, timeout=300.0, poll_rate=0.01): + """ + Asynchronous wait until the motor stops moving. + """ + import asyncio + start_time = time.time() + while self.moving: + await asyncio.sleep(poll_rate) + if time.time() - start_time > timeout: + raise RuntimeError(f"Timeout waiting for motor {self.name} to stop") \ No newline at end of file From 39fd1b049ab15801a3e803224dc5ff91bc684084 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 16 Jan 2026 09:43:00 +0100 Subject: [PATCH 018/144] DAQ: devices - added zoom get and set methods --- src/aare/daq/devices.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/src/aare/daq/devices.py b/src/aare/daq/devices.py index 70f13710..80a529e4 100644 --- a/src/aare/daq/devices.py +++ b/src/aare/daq/devices.py @@ -27,8 +27,9 @@ class BeamlineDevices: self.__ring_current_pv = PV(f"ARS07-DPCT-0100:CURR") self.__dtz = MyMotor(f"{BEAMLINE}-ES-DET:TRZ") self.__sample_cam = epicsAD(f"{BEAMLINE}-SAMCAM:") - self.__back_light = EnumPv(f"{BEAMLINE}-ES-BL") - self.__zoom = PV("{BEAMLINE}-ES-SAMCAM:ZOOM") + self.__back_light = PV(f"{BEAMLINE}-ES-BL") + self.__zoom_set = PV(f"{BEAMLINE}-ES-SAMCAM:ZOOM.VAL") + self.__zoom_get = PV(f"{BEAMLINE}-ES-SAMCAM:ZOOM.RBV") self.__aerotech = aerotech.AerotechControllerEpics(beamline) # Transmission @@ -54,14 +55,14 @@ class BeamlineDevices: # Zoom @property def zoom(self) -> float: - return self.__zoom.get() + return self.__zoom_get.get() @zoom.setter def zoom(self, value: float): self.set_zoom(value, wait=False) def set_zoom(self, value: float, /, wait: bool = True): - self.__zoom.put(value, wait=wait) + self.__zoom_set.put(value, wait=wait) # Collimator @property From 5781184c28868b9cc62de1b28f4233cffc2891be Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 16 Jan 2026 09:44:36 +0100 Subject: [PATCH 019/144] DAQ: devices - added zoom get and set methods --- src/aare/devices/aerotech.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/src/aare/devices/aerotech.py b/src/aare/devices/aerotech.py index 47e532fa..80ad79d1 100644 --- a/src/aare/devices/aerotech.py +++ b/src/aare/devices/aerotech.py @@ -3,13 +3,10 @@ import sys import threading from enum import Enum -from enum_pv import EnumPv - import automation1 as a1 from aare.common.beamline import MXBeamline, mx_beamline -from epics import PV, Motor -from my_motor import MyMotor +from aare.devices.my_motor import MyMotor class AerotechController: From 393801952e739ff04385bdd71d8850f2f2dcf292 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 16 Jan 2026 09:45:33 +0100 Subject: [PATCH 020/144] DAQ: aerotech - cleaned up imports --- src/aare/devices/aerotech.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/src/aare/devices/aerotech.py b/src/aare/devices/aerotech.py index 80ad79d1..6ee13958 100644 --- a/src/aare/devices/aerotech.py +++ b/src/aare/devices/aerotech.py @@ -4,6 +4,7 @@ import threading from enum import Enum import automation1 as a1 +from epics import PV, Motor from aare.common.beamline import MXBeamline, mx_beamline from aare.devices.my_motor import MyMotor @@ -123,4 +124,5 @@ if __name__ == "__main__": #aerotech.disconnect() aerotech_epics = AerotechControllerEpics(beamline) - aerotech_epics.home_all() + #aerotech_epics.home_all() + aerotech_epics.omega.move(0.0) From 0279b91327732a776593d7561140ee913ebc8e0c Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 16 Jan 2026 09:53:03 +0100 Subject: [PATCH 021/144] DAQ: Fix typo set_omega -> set_aerotech_omega --- src/aare/daq/devices.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aare/daq/devices.py b/src/aare/daq/devices.py index 80a529e4..e448d8f4 100644 --- a/src/aare/daq/devices.py +++ b/src/aare/daq/devices.py @@ -198,7 +198,7 @@ class BeamlineDevices: @aerotech_omega.setter def aerotech_omega(self, val: float): - self.set_omega(val, wait=True) + self.set_aerotech_omega(val, wait=True) def set_aerotech_omega(self, val: float, /, wait: bool = True): self.__aerotech.omega.move(val, wait=wait) From 199f8dc57ce99c718b8699d3d77a7981b6162af4 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 16 Jan 2026 10:29:26 +0100 Subject: [PATCH 022/144] DAQ: added back_light and fornt_light functionality for changing brightness, can set the state of the backlight. --- src/aare/daq/devices.py | 42 +++++++++++++++++++++++++++++++++++------ 1 file changed, 36 insertions(+), 6 deletions(-) diff --git a/src/aare/daq/devices.py b/src/aare/daq/devices.py index e448d8f4..27aab358 100644 --- a/src/aare/daq/devices.py +++ b/src/aare/daq/devices.py @@ -6,6 +6,7 @@ # - property setter, which assumes that sync move is done (excl. zoom, which is async by default) import time +from enum import Enum import numpy as np from epics import PV @@ -18,6 +19,9 @@ from aare.devices.area_detector import epicsAD from aare.devices.enum_pv import EnumPv from aare.devices.my_motor import MyMotor +class BacklightPositionEnum(Enum): + PARK = 0 + MEASURE = 1 class BeamlineDevices: def __init__(self, beamline: MXBeamline): @@ -27,7 +31,14 @@ class BeamlineDevices: self.__ring_current_pv = PV(f"ARS07-DPCT-0100:CURR") self.__dtz = MyMotor(f"{BEAMLINE}-ES-DET:TRZ") self.__sample_cam = epicsAD(f"{BEAMLINE}-SAMCAM:") - self.__back_light = PV(f"{BEAMLINE}-ES-BL") + + self.__back_light_pos_set = PV(f"{BEAMLINE}-ES-BL:POS-SET") + self.__back_light_pos_get = PV(f"{BEAMLINE}-ES-BL:POS-GET") + self.__back_light_bright_set = PV(f"{BEAMLINE}-ES-BL:SET") + self.__back_light_bright_get = PV(f"{BEAMLINE}-ES-BL:GET") + self.__front_light_bright_set = PV(f"{BEAMLINE}-ES-BL:SET") + self.__front_light_bright_get = PV(f"{BEAMLINE}-ES-BL:GET") + self.__zoom_set = PV(f"{BEAMLINE}-ES-SAMCAM:ZOOM.VAL") self.__zoom_get = PV(f"{BEAMLINE}-ES-SAMCAM:ZOOM.RBV") self.__aerotech = aerotech.AerotechControllerEpics(beamline) @@ -46,11 +57,26 @@ class BeamlineDevices: # Lamp light @property def lamp_light(self) -> float: - return 0 + return self.__front_light_bright_get.get() @lamp_light.setter def lamp_light(self, v: float): - pass + self.set_front_light(v, wait=False) + + def set_front_light(self, v: float, /, wait: bool = True): + self.__front_light_bright_set.put(v, wait=wait) + + # Back light + @property + def back_light(self) -> float: + return self.__back_light_bright_get.get() + + @lamp_light.setter + def back_light(self, v: float): + self.set_back_light(v, wait=False) + + def set_back_light(self, v: float, /, wait: bool = True): + self.__back_light_bright_set.put(v, wait=wait) # Zoom @property @@ -91,11 +117,15 @@ class BeamlineDevices: # Reflector (backlight?) @property def reflector_up(self) -> bool: - return False + return self.__back_light_pos_get.get() == BacklightPositionEnum.MEASURE.value @reflector_up.setter - def reflector_up(self, value: bool): - pass + def reflector_up(self, value: StagePositionEnum): + self.set_reflector_up(value, wait=True) + + def set_reflector_up(self, value: StagePositionEnum, /, wait: bool = True): + self.__back_light_pos_set.put(BacklightPositionEnum.MEASURE.value if value else BacklightPositionEnum.PARK.value, + wait=wait) # Beamstop @property From dc8d7799b1cfa4f31e256d839c4553576a273fcb Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 16 Jan 2026 11:52:54 +0100 Subject: [PATCH 023/144] DAQ: re added enum_pv and hopefully fixed front and back light settings --- src/aare/daq/devices.py | 27 +++++---- src/aare/devices/enum_pv.py | 107 ++++++++++++++---------------------- 2 files changed, 53 insertions(+), 81 deletions(-) diff --git a/src/aare/daq/devices.py b/src/aare/daq/devices.py index 27aab358..a3effcc8 100644 --- a/src/aare/daq/devices.py +++ b/src/aare/daq/devices.py @@ -32,12 +32,12 @@ class BeamlineDevices: self.__dtz = MyMotor(f"{BEAMLINE}-ES-DET:TRZ") self.__sample_cam = epicsAD(f"{BEAMLINE}-SAMCAM:") - self.__back_light_pos_set = PV(f"{BEAMLINE}-ES-BL:POS-SET") - self.__back_light_pos_get = PV(f"{BEAMLINE}-ES-BL:POS-GET") - self.__back_light_bright_set = PV(f"{BEAMLINE}-ES-BL:SET") - self.__back_light_bright_get = PV(f"{BEAMLINE}-ES-BL:GET") - self.__front_light_bright_set = PV(f"{BEAMLINE}-ES-BL:SET") - self.__front_light_bright_get = PV(f"{BEAMLINE}-ES-BL:GET") + self.__back_light_pos = EnumPv(pv_name = f"{BEAMLINE}-ES-BL:POS-SET", + rbv_name=f"{BEAMLINE}-ES-BL:POS-GET", + timeout=10.0) + + self.__back_light_bright= PV(f"{BEAMLINE}-ES-BL:SET") + self.__front_light_bright = PV(f"{BEAMLINE}-ES-FL:SET") self.__zoom_set = PV(f"{BEAMLINE}-ES-SAMCAM:ZOOM.VAL") self.__zoom_get = PV(f"{BEAMLINE}-ES-SAMCAM:ZOOM.RBV") @@ -57,26 +57,26 @@ class BeamlineDevices: # Lamp light @property def lamp_light(self) -> float: - return self.__front_light_bright_get.get() + return self.__front_light_bright.get() @lamp_light.setter def lamp_light(self, v: float): self.set_front_light(v, wait=False) def set_front_light(self, v: float, /, wait: bool = True): - self.__front_light_bright_set.put(v, wait=wait) + self.__front_light_bright.put(v, wait=wait) # Back light @property def back_light(self) -> float: - return self.__back_light_bright_get.get() + return self.__back_light_bright.get() - @lamp_light.setter + @back_light.setter def back_light(self, v: float): self.set_back_light(v, wait=False) def set_back_light(self, v: float, /, wait: bool = True): - self.__back_light_bright_set.put(v, wait=wait) + self.__back_light_bright.put(v, wait=wait) # Zoom @property @@ -117,15 +117,14 @@ class BeamlineDevices: # Reflector (backlight?) @property def reflector_up(self) -> bool: - return self.__back_light_pos_get.get() == BacklightPositionEnum.MEASURE.value + return self.__back_light_pos.position.upper() == StagePositionEnum.MEASURE.name @reflector_up.setter def reflector_up(self, value: StagePositionEnum): self.set_reflector_up(value, wait=True) def set_reflector_up(self, value: StagePositionEnum, /, wait: bool = True): - self.__back_light_pos_set.put(BacklightPositionEnum.MEASURE.value if value else BacklightPositionEnum.PARK.value, - wait=wait) + self.__back_light_pos.put(value, wait=wait) # Beamstop @property diff --git a/src/aare/devices/enum_pv.py b/src/aare/devices/enum_pv.py index 4e9ae9f0..4253b1ff 100755 --- a/src/aare/devices/enum_pv.py +++ b/src/aare/devices/enum_pv.py @@ -7,71 +7,18 @@ class ValueWaitTimeout(Exception): """Raised when a PV fails to reach a target value within the timeout period.""" pass - -def pv_wait(pv: Union[PV, Motor], target: Union[str, int, float], timeout: float = 30.0, - polling: float = 0.1, tolerance: float | None = None): - """ - Unified wait function for Motors and PVs (Strings, Enums, Floats). - """ - start_time = time.monotonic() - end_time = start_time + timeout - - # Handle Motors - if isinstance(pv, Motor): - if tolerance is None: - # Try to get the motor resolution/deadband - tolerance = pv.get("RDBD") or 0.01 - - while time.monotonic() < end_time: - if pv.done_moving and abs(pv.readback - target) <= tolerance: - return - poll(polling) - - raise ValueWaitTimeout( - f"Motor {pv.name} timeout. Target: {target}, Current: {pv.readback}, Done: {pv.done_moving}" - ) - - # Handle PVs (Enums, Strings, Doubles) - pv_type = (pv.type or "").lower() - is_enum = "enum" in pv_type - is_string = "string" in pv_type - - while time.monotonic() < end_time: - # Get current value: as string for Enums/Strings, as raw value for others - as_string = isinstance(target, str) or is_enum or is_string - current = pv.get(as_string=as_string) - - if current is not None: - # Comparison logic - if isinstance(target, str): - if str(current).strip().lower() == target.strip().lower(): - return - elif isinstance(target, (int, float)): - if tolerance is None: - # Default tolerance based on PV precision - prec = getattr(pv, 'precision', 3) or 3 - tolerance = 10 ** -prec - - if abs(float(current) - float(target)) <= tolerance: - return - - poll(polling) - - # If we exit the loop, we timed out - final_val = pv.get(as_string=isinstance(target, str)) - raise ValueWaitTimeout(f"PV {pv.pvname} timeout. Target: {target}, Current: {final_val}") - -def wait_for_movement_to_finish(*motors: Motor, timeout: float = 60.0): - """Wait for a group of motors to stop moving.""" - start_time = time.time() - while not all(m.done_moving for m in motors): - if time.time() - start_time > timeout: - moving = [m.name for m in motors if not m.done_moving] - raise TimeoutError(f"Timeout waiting for motors: {', '.join(moving)}") - poll(0.1) - class EnumPv: + """create a class that combines a setter PV and readback PV into a single object. + i.e. self.__back_light_pos = EnumPv(pv_name = f"{BEAMLINE}-ES-BL:POS-SET", + rbv_name=f"{BEAMLINE}-ES-BL:POS-GET", + timeout=10.0) + """ def __init__(self, pv_name: str, rbv_name: Optional[str] = None, timeout: float = 60.0): + """Initialize the EnumPv object. + :param pv_name: The name of the control PV. + :param rbv_name: The name of the readback PV. If not provided, defaults to the control PV. + :param timeout: The timeout for waiting for the readback to reach a target value. + """ self.control = PV(pv_name) # If no readback is provided, assume the control PV reflects its own state self.readback = PV(rbv_name) if rbv_name else self.control @@ -90,25 +37,51 @@ class EnumPv: """Returns the current integer index of the readback.""" return int(self.readback.get()) - def put(self, value: Union[str, int, Enum], wait: bool = False): + def put(self, value: Union[str, int, Enum], wait: bool = False, + timeout: float = 30.0, polling: float = 0.1, tolerance: float | None = None): """ Set the PV value. Accepts string names, integer indices, or Python Enum members. """ # Extract value if a Python Enum was passed - val_to_put = value.value if isinstance(value, Enum) else value + name = value.name if isinstance(value, Enum) else value + + try: + val_to_put = next(s for s in self.control.enum_strs + if s.upper() == name.upper()) + except StopIteration: + raise ValueError(f"'{name}' not found in PV enums: {self.control.enum_strs}") self.control.put(val_to_put) if wait: self.wait(val_to_put) - def wait(self, target: Union[str, int, Enum]): + def wait(self, target: Union[str, int, Enum],timeout: float = 30.0, + polling: float = 0.1, tolerance: float | None = None): """Blocks until the readback matches the target value.""" # Convert Enum or name to the format pv_wait expects wait_val = target.name if isinstance(target, Enum) else target try: - pv_wait(self.readback, wait_val, timeout=self.timeout) + start_time = time.monotonic() + end_time = start_time + timeout + while time.monotonic() < end_time: + current = self.readback.get(as_string=True) + if current is not None: + if isinstance(target, str): + if str(current).strip().lower() == target.strip().lower(): + return + elif isinstance(target, (int, float)): + if tolerance is None: + # Default tolerance based on PV precision + prec = getattr(self.readback, 'precision', 3) or 3 + tolerance = 10 ** -prec + if abs(float(current) - float(target)) <= tolerance: + return + + poll(polling) + final_val = self.readback.get(as_string=isinstance(target, str)) + raise ValueWaitTimeout(f"PV {self.readback.pvname} timeout. Target: {target}, Current: {final_val}") except Exception as e: raise ValueWaitTimeout(f"Timed out waiting for {self.readback.pvname} to reach {wait_val}") from e \ No newline at end of file From e607f872a6d78385e63cc11ca7ef97dd31c4140d Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 16 Jan 2026 13:55:29 +0100 Subject: [PATCH 024/144] DAQ: added functionality to move aerotech x y and z to a coordinate. And to update the offset in aerotech. --- src/aare/daq/devices.py | 21 +++++++++++++++++++-- src/aare/devices/aerotech.py | 17 ++++++++++++++--- 2 files changed, 33 insertions(+), 5 deletions(-) diff --git a/src/aare/daq/devices.py b/src/aare/daq/devices.py index a3effcc8..6d2e26c4 100644 --- a/src/aare/daq/devices.py +++ b/src/aare/daq/devices.py @@ -10,6 +10,7 @@ from enum import Enum import numpy as np from epics import PV +from fontTools.feaLib.ast import deviceToString from aare.common.beamline import MXBeamline from aare.common.coordinate import Coordinate, SmargonCoordinate @@ -215,11 +216,18 @@ class BeamlineDevices: # Aertoech Automation1 @property def aerotech_pos(self) -> Coordinate: - return Coordinate(x=0, y=0, z=0) + return Coordinate(x=self.__aerotech.gmx.readback, + y=self.__aerotech.gmy.readback, z=self.__aerotech.gmz.readback) @aerotech_pos.setter def aerotech_pos(self, pos: Coordinate): - pass + self.__aerotech.gmx.move(pos.x, wait=False) + self.__aerotech.gmy.move(pos.y, wait=False) + self.__aerotech.gmz.move(pos.z, wait=False) + self.__aerotech.gmx.move(pos.x, wait=True) + self.__aerotech.gmy.move(pos.y, wait=True) + self.__aerotech.gmz.move(pos.z, wait=True) + #TODO add wait pos? @property def aerotech_omega(self) -> float: @@ -260,3 +268,12 @@ class BeamlineDevices: def smargon_move_home(self): self.__smargon.move_home(wait=True) + +if __name__ == "__main__": + from aare.common.beamline import mx_beamline + beamline = mx_beamline() + devs = BeamlineDevices(beamline) + print(devs.aerotech_pos) + devs.aerotech_pos = Coordinate(x=124.0, y=1.0, z=1.0) + print(devs.aerotech_pos) + devs.aerotech_omega = 0.0 \ No newline at end of file diff --git a/src/aare/devices/aerotech.py b/src/aare/devices/aerotech.py index 6ee13958..20a516fb 100644 --- a/src/aare/devices/aerotech.py +++ b/src/aare/devices/aerotech.py @@ -1,9 +1,10 @@ import os import sys import threading +import time from enum import Enum -import automation1 as a1 +#import automation1 as a1 from epics import PV, Motor from aare.common.beamline import MXBeamline, mx_beamline @@ -101,9 +102,19 @@ class AerotechControllerEpics: raise ValueError(f"Invalid task id {task_id}") self.__task_id.put(task_id) + def __put(self, axis: MyMotor, attr: str, value: float): + try: + axis.put(attr=attr, value=value) + except Exception as e: + raise ValueError(f"Error setting {axis.name} {attr} to {value}: {e}") + + def set_offset(self, axis: MyMotor, offset: float): + self.__put(axis=axis, attr="OFF", value=offset) + def home_all(self): #self.__task_id.put(2) - #self.__task_reset() + self.__task_reset() + time.sleep(0.1) self.__task_id.put(2) print(self.__task_id.get()) self.__task_filename.put("home_all.a1exe") @@ -125,4 +136,4 @@ if __name__ == "__main__": aerotech_epics = AerotechControllerEpics(beamline) #aerotech_epics.home_all() - aerotech_epics.omega.move(0.0) + #aerotech_epics.omega.move(90.0) From f783a887edba560525ed9d6cea62b184d169e62d Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Thu, 15 Jan 2026 16:57:24 +0100 Subject: [PATCH 025/144] GUI: Handle authentication failure --- src/aare/gui/auth.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/src/aare/gui/auth.py b/src/aare/gui/auth.py index 9b6cb104..6c4f576f 100644 --- a/src/aare/gui/auth.py +++ b/src/aare/gui/auth.py @@ -28,11 +28,13 @@ def auth(base_url: str | None) -> str: "Content-Type": "application/x-www-form-urlencoded" } ) - if response.status_code == 200: response_json = response.json() if "access_token" in response_json: return response_json["access_token"] + else: + logger.error(f"Authentication request failed: {response.content}") + raise Exception("Authentication request failed") except requests.RequestException as e: logger.error(f"Authentication request failed: {e}") From 9adbff00066f9cbb1bc4a212ae916e0832f2a0f3 Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Thu, 15 Jan 2026 16:57:46 +0100 Subject: [PATCH 026/144] GUI: Fix camera color scheme --- src/aare/gui/threads/camera_thread.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aare/gui/threads/camera_thread.py b/src/aare/gui/threads/camera_thread.py index 6ac9837d..d14bc9d4 100644 --- a/src/aare/gui/threads/camera_thread.py +++ b/src/aare/gui/threads/camera_thread.py @@ -33,7 +33,7 @@ class SampleCameraThread(QThread): if header["type"] == "uint8" and len(header_shape) == 2: bayer_image = np.frombuffer(data, dtype=np.uint8) bayer_image = bayer_image.reshape(header_shape) - rgb_image = cv2.cvtColor(bayer_image, cv2.COLOR_BAYER_RG2RGB) + rgb_image = cv2.cvtColor(bayer_image, cv2.COLOR_BAYER_GB2RGB) #cv2.COLOR_BAYER_GB2RGB for ethernet connection rgb_image = rgb_image[:, ::-1, :].copy() qimage = QImage(rgb_image.data, header_shape[1], header_shape[0], #For ethernet need header_shape[0], header_shape[1], header_shape[0]*3, From 140eb6fe2a42364bdaebd16635c36bd83ce97839 Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Fri, 16 Jan 2026 10:03:44 +0100 Subject: [PATCH 027/144] DAQ: Remove change of camera settings on zoom --- src/aare/daq/daq.py | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index 462abcb7..fab99a67 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -234,9 +234,6 @@ class AareDAQ: self.__cfg.zoom_mode = ZoomModeEnum.BeamLocation else: self.__cfg.zoom_mode = ZoomModeEnum.User - zoom_settings = self.__cfg.zoom_settings.get_camera_settings(val) - - self.samcam_settings = zoom_settings @property def light(self) -> float: @@ -507,14 +504,14 @@ class AareDAQ: def sample_geometry(self) -> SampleGeometryModel: zoom = self.__devs.zoom aerotech_pos_ref = self.__cfg.abr_meas_pos - aerotech_coord = self.__devs.aerotech_pos - aerotech_pos_ref + # aerotech_coord = self.__devs.aerotech_pos - aerotech_pos_ref sample_geom = SampleGeometryModel( beam_location_pxl=self.__cfg.beam_mark_coeff.apply(zoom), pixel_in_mm=self.__cfg.pixel_to_mm(zoom), omega_deg=self.__devs.aerotech_omega, smargon=self.__devs.smargon_pos, beam_size_mm=self.__cfg.beam_size_mm, - aerotech=aerotech_coord, + aerotech=Coordinate(), aerotech_meas=self.__devs.aerotech_pos ) return sample_geom @@ -1219,8 +1216,8 @@ class AareDAQ: transmission=self.__devs.transmission, zoom=self.__devs.zoom, commissioning_mode=self.__cfg.commissioning_mode, - dtz_min=self.__devs.dtz_low, - dtz_max=self.__devs.dtz_high, + dtz_min=20, + dtz_max=1000, ) @property From 8ecf176cdf2af861cf93d743292daaa3b897b3e6 Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Fri, 16 Jan 2026 10:09:13 +0100 Subject: [PATCH 028/144] DAQ: Small fix to handling zero detector distance in resolution calculation --- src/aare/common/diffraction_geometry.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aare/common/diffraction_geometry.py b/src/aare/common/diffraction_geometry.py index d91e9846..92f29a97 100644 --- a/src/aare/common/diffraction_geometry.py +++ b/src/aare/common/diffraction_geometry.py @@ -36,7 +36,7 @@ class DiffractionGeometry(BaseModel): def resolution_angstrom(self, exp_dtz_mm: float) -> float: if exp_dtz_mm <= 0: - raise ValueError("Detector distance must be positive") + raise ValueError(f"Detector distance must be positive {exp_dtz_mm}") theta = math.atan(self.detector_radius_mm / exp_dtz_mm)*0.5 return self.wavelength_angstrom / (2 * math.sin(theta)) From 5a7f09a6191df6da9cc6e554715a203319234a48 Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Fri, 16 Jan 2026 12:05:47 +0100 Subject: [PATCH 029/144] DAQ/GUI: Add front/back light --- src/aare/common/models.py | 3 +- src/aare/daq/daq.py | 26 +++++++++++--- src/aare/daq/server.py | 12 +++++-- src/aare/gui/main_window.py | 4 ++- src/aare/gui/panels/illumination_panel.py | 41 +++++++++++++++++------ src/aare/gui/threads/daq_worker.py | 8 +++-- 6 files changed, 72 insertions(+), 22 deletions(-) diff --git a/src/aare/common/models.py b/src/aare/common/models.py index 67a5273e..e38841d8 100644 --- a/src/aare/common/models.py +++ b/src/aare/common/models.py @@ -682,7 +682,8 @@ class AutofocusSettings(BaseModel): class BeamlineStatus(BaseModel): name: str ring_current_mA: float - light: Annotated[float, Field(ge=0.0, le=100.0)] + front_light: Annotated[float, Field(ge=0.0, le=100.0)] + back_light: Annotated[float, Field(ge=0.0, le=100.0)] cryojet_K: float shutter_open: bool exp_shutter_open: bool | None diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index fab99a67..feef6def 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -198,6 +198,7 @@ class AareDAQ: def __omega(self, val: float): self.__saved_box = None + print(f"Set omega to {val}") if -2000 < val < 2000: try: self.__devs.aerotech_omega = val @@ -236,7 +237,7 @@ class AareDAQ: self.__cfg.zoom_mode = ZoomModeEnum.User @property - def light(self) -> float: + def front_light(self) -> float: val = self.__devs.lamp_light if val <= 1.0: return 0 @@ -245,12 +246,28 @@ class AareDAQ: else: return (val - 1.0) / 1.5 * 100.0 - @light.setter - def light(self, f: float): + @front_light.setter + def front_light(self, f: float): conv = (f / 100.0 * 1.5) + 1.0 print(f"Light {f} -> {conv}") self.__devs.lamp_light = conv + @property + def back_light(self) -> float: + val = self.__devs.back_light + if val <= 0.0: + return 0.0 + elif val <= 3.0: + return val / 3.0 * 100.0 + else: + return 100.0 + + @back_light.setter + def back_light(self, f: float): + conv = f / 100.0 * 3.0 + print(f"Backlight {f} -> {conv}") + self.__devs.back_light = conv + @property def sample(self) -> SampleShortInfo | None: if self.__cfg.current_sample is not None and self.__cfg.current_sample.location is None: @@ -1206,7 +1223,8 @@ class AareDAQ: def beamline_status(self) -> BeamlineStatus: return BeamlineStatus( ring_current_mA=self.__devs.ring_current, - light=self.light, + front_light=self.front_light, + back_light=self.back_light, cryojet_K=self.__devs.cryojet_temp, shutter_open=self.__devs.shutter, exp_shutter_open=self.__devs.shutter, diff --git a/src/aare/daq/server.py b/src/aare/daq/server.py index aea88904..b46c2316 100644 --- a/src/aare/daq/server.py +++ b/src/aare/daq/server.py @@ -102,13 +102,19 @@ async def omega(val: float, token: str = Depends(oauth2_scheme)): daq.omega_rel(val) return "OK" -@app.put("/beamline/light") -async def light(val: float, token: str = Depends(oauth2_scheme)): +@app.put("/beamline/front_light") +async def front_light(val: float, token: str = Depends(oauth2_scheme)): logger.debug(f"Setting light to {val}") auth.check_jwt_rw(cfg, auth.parse_token(token)) - daq.light = val + daq.front_light = val return "OK" +@app.put("/beamline/back_light") +async def back_light(val: float, token: str = Depends(oauth2_scheme)): + logger.debug(f"Setting back light to {val}") + auth.check_jwt_rw(cfg, auth.parse_token(token)) + daq.back_light = val + return "OK" @app.put("/beamline/zoom") async def zoom(val: float, token: str = Depends(oauth2_scheme)): diff --git a/src/aare/gui/main_window.py b/src/aare/gui/main_window.py index 53919128..caad5ee8 100644 --- a/src/aare/gui/main_window.py +++ b/src/aare/gui/main_window.py @@ -232,7 +232,9 @@ class MainWindow(QMainWindow): self.beamline.omega_panel.set_omega.connect(self.daq.set_omega) self.sample_camera.set_omega.connect(self.daq.set_omega) self.beamline.zoom_panel.zoom.connect(self.daq.zoom) - self.beamline.illumination_panel.light.connect(self.daq.light) + self.beamline.illumination_panel.front_light.connect(self.daq.front_light) + self.beamline.illumination_panel.back_light.connect(self.daq.back_light) + if self.__decoded_token.staff: self.beamline.abr_tweak.abr_tweak.connect(self.daq.abr_tweak) self.beamline.abr_tweak.abr_save.connect(self.daq.abr_save) diff --git a/src/aare/gui/panels/illumination_panel.py b/src/aare/gui/panels/illumination_panel.py index 2fb84eee..376b2c94 100644 --- a/src/aare/gui/panels/illumination_panel.py +++ b/src/aare/gui/panels/illumination_panel.py @@ -1,38 +1,57 @@ from PySide6.QtCore import Qt, Signal, Slot -from PySide6.QtWidgets import QWidget, QGridLayout, QSlider +from PySide6.QtWidgets import QWidget, QGridLayout, QSlider, QLabel from aare.common.models import DAQStatusModel from aare.gui.widgets.title_label import TitleLabel class IlluminationPanel(QWidget): - light = Signal(int) + front_light = Signal(int) + back_light = Signal(int) def __init__(self, parent=None): super().__init__(parent) grid_layout = QGridLayout(self) - grid_layout.addWidget(TitleLabel("Front light", self), 0, 0, 1, 2) + grid_layout.addWidget(TitleLabel("Light", self), 0, 0, 1, 2) + front_label = QLabel("Front light", parent=self) + front_label.setAlignment(Qt.AlignmentFlag.AlignCenter) + grid_layout.addWidget(front_label, 1, 0, 1, 2) self.is_sliding = False - self.slider = QSlider(orientation=Qt.Orientation.Horizontal, parent=self) - self.slider.setRange(0, 100) - self.slider.sliderPressed.connect(self.on_slider_pressed) - self.slider.sliderReleased.connect(self.on_slider_released) + self.front_light_slider = QSlider(orientation=Qt.Orientation.Horizontal, parent=self) + self.front_light_slider.setRange(0, 100) + self.front_light_slider.sliderPressed.connect(self.on_slider_pressed) + self.front_light_slider.sliderReleased.connect(self.on_front_slider_released) + grid_layout.addWidget(self.front_light_slider, 2, 0, 1, 2) - grid_layout.addWidget(self.slider, 1, 0, 1, 2) + back_label = QLabel("Back light", parent=self) + back_label.setAlignment(Qt.AlignmentFlag.AlignCenter) + grid_layout.addWidget(back_label, 3, 0, 1, 2) + + self.back_light_slider = QSlider(orientation=Qt.Orientation.Horizontal, parent=self) + self.back_light_slider.setRange(0, 100) + self.back_light_slider.sliderPressed.connect(self.on_slider_pressed) + self.back_light_slider.sliderReleased.connect(self.on_back_slider_released) + grid_layout.addWidget(self.back_light_slider, 4, 0, 1, 2) @Slot() def on_slider_pressed(self): self.is_sliding = True @Slot() - def on_slider_released(self): + def on_front_slider_released(self): self.is_sliding = False - self.light.emit(self.slider.value()) + self.front_light.emit(self.front_light_slider.value()) + + @Slot() + def on_back_slider_released(self): + self.is_sliding = False + self.back_light.emit(self.back_light_slider.value()) @Slot(DAQStatusModel) def update_daq_status(self, s: DAQStatusModel): if not self.is_sliding: # Update only if not sliding - self.slider.setValue(round(s.bl.light)) + self.front_light_slider.setValue(round(s.bl.front_light)) + self.back_light_slider.setValue(round(s.bl.back_light)) diff --git a/src/aare/gui/threads/daq_worker.py b/src/aare/gui/threads/daq_worker.py index 5cbbf222..12214701 100644 --- a/src/aare/gui/threads/daq_worker.py +++ b/src/aare/gui/threads/daq_worker.py @@ -195,8 +195,12 @@ class DAQWorker(QObject): self.generic_put(f"beamline/zoom?val={f:.3f}") @Slot(int) - def light(self, v: int): - self.generic_put(f"beamline/light?val={v:d}") + def front_light(self, v: int): + self.generic_put(f"beamline/front_light?val={v:d}") + + @Slot(int) + def back_light(self, v: int): + self.generic_put(f"beamline/back_light?val={v:d}") @Slot() def close_shutter(self): From 0b44112eb4f3c9a7b1713f0cffa76f36d7316f83 Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Fri, 16 Jan 2026 12:49:23 +0100 Subject: [PATCH 030/144] GUI: Add sharpness --- src/aare/gui/main_window.py | 1 + src/aare/gui/threads/camera_thread.py | 15 ++++++++++++++- src/aare/gui/widgets/status_bar.py | 6 ++++++ 3 files changed, 21 insertions(+), 1 deletion(-) diff --git a/src/aare/gui/main_window.py b/src/aare/gui/main_window.py index caad5ee8..f73f5a49 100644 --- a/src/aare/gui/main_window.py +++ b/src/aare/gui/main_window.py @@ -252,6 +252,7 @@ class MainWindow(QMainWindow): self.camera_thread = SampleCameraThread(zmq_url=zmq_addr) self.camera_thread.camera_image.connect(self.sample_camera.update_pixmap) self.camera_thread.start() + self.camera_thread.focus_measure.connect(self.status_bar.update_sharpness) else: self.camera_thread = None diff --git a/src/aare/gui/threads/camera_thread.py b/src/aare/gui/threads/camera_thread.py index d14bc9d4..f1a61707 100644 --- a/src/aare/gui/threads/camera_thread.py +++ b/src/aare/gui/threads/camera_thread.py @@ -3,13 +3,14 @@ import json import cv2 import numpy as np import zmq -from PySide6.QtCore import QThread, Signal +from PySide6.QtCore import QThread, Signal, Slot from PySide6.QtGui import QImage, QPixmap class SampleCameraThread(QThread): # Define a signal to communicate messages from the thread to the main GUI camera_image = Signal(QPixmap) + focus_measure = Signal(float) # Emits Laplacian variance (higher = sharper) def __init__(self, zmq_url: str, parent=None): super().__init__(parent) @@ -20,6 +21,12 @@ class SampleCameraThread(QThread): self.__socket.connect(zmq_url) self.running = True + self.__measure_focus = True + + @Slot(bool) + def enable_focus_measurement(self, enabled: bool = True): + """Enable or disable focus measurement.""" + self.__measure_focus = enabled def run(self): while self.running: @@ -36,6 +43,12 @@ class SampleCameraThread(QThread): rgb_image = cv2.cvtColor(bayer_image, cv2.COLOR_BAYER_GB2RGB) #cv2.COLOR_BAYER_GB2RGB for ethernet connection rgb_image = rgb_image[:, ::-1, :].copy() + + if self.__measure_focus: + gray = cv2.cvtColor(rgb_image, cv2.COLOR_RGB2GRAY) + laplacian = cv2.Laplacian(gray, cv2.CV_64F) + self.focus_measure.emit(float(laplacian.var())) + qimage = QImage(rgb_image.data, header_shape[1], header_shape[0], #For ethernet need header_shape[0], header_shape[1], header_shape[0]*3, QImage.Format.Format_RGB888) self.camera_image.emit(QPixmap.fromImage(qimage)) diff --git a/src/aare/gui/widgets/status_bar.py b/src/aare/gui/widgets/status_bar.py index 2075de40..0e0f037b 100644 --- a/src/aare/gui/widgets/status_bar.py +++ b/src/aare/gui/widgets/status_bar.py @@ -32,6 +32,7 @@ class StatusBar(QStatusBar): self.__is_staff = self.__decoded_token.staff self.__allowed_pgroups = self.__decoded_token.pgroups + self.sharpness = ValueLabel("Samcam image sharpness", "", self) self.flux = ValueLabel("Flux", "x 109 ph/s", self) self.transmission = ValueLabel("Transmission", "", self) self.ring_current = ValueLabel("Ring current", "mA", self) @@ -53,6 +54,7 @@ class StatusBar(QStatusBar): self.shutter_label.clicked.connect(self.show_shutter_menu) self.exp_shutter_label = ValueLabel("ExpHutch Shutter", "", self) + self.addPermanentWidget(self.sharpness) self.addPermanentWidget(self.flux) self.addPermanentWidget(self.transmission) self.addPermanentWidget(self.ring_current) @@ -66,6 +68,10 @@ class StatusBar(QStatusBar): self.addPermanentWidget(self.busy_label) self.addPermanentWidget(self.session_label) + @Slot(float) + def update_sharpness(self, val: float): + self.sharpness.set_value(f"{val:.3f}") + @Slot(DAQStatusModel) def update_daq_status(self, status: DAQStatusModel): self.__status = status From bcbb53dd1c5496ac2393503227a192813bb53857 Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Fri, 16 Jan 2026 13:15:26 +0100 Subject: [PATCH 031/144] DAQ: Set default camera translation factor B to 512 --- src/aare/common/models.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aare/common/models.py b/src/aare/common/models.py index e38841d8..fd7827ee 100644 --- a/src/aare/common/models.py +++ b/src/aare/common/models.py @@ -730,7 +730,7 @@ class BeamlineSettingsModel(BaseModel): camera_max_magnification: float | None = 1.0 camera_min_magnification: float | None = 500.0 camera_translation_factor_a: float | None = 0.00253 - camera_translation_factor_b: float | None = 255.0 + camera_translation_factor_b: float | None = 512.0 class CryojetSettingsModel(BaseModel): cryojet_park_position: float | None = 12.0 From 65dd1a68562085d2265cc0dcfe074e0f31f268f1 Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Fri, 16 Jan 2026 13:16:24 +0100 Subject: [PATCH 032/144] DAQ: Bring back Aerotech reference position --- src/aare/daq/daq.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index feef6def..3372df32 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -521,7 +521,7 @@ class AareDAQ: def sample_geometry(self) -> SampleGeometryModel: zoom = self.__devs.zoom aerotech_pos_ref = self.__cfg.abr_meas_pos - # aerotech_coord = self.__devs.aerotech_pos - aerotech_pos_ref + aerotech_coord = self.__devs.aerotech_pos - aerotech_pos_ref sample_geom = SampleGeometryModel( beam_location_pxl=self.__cfg.beam_mark_coeff.apply(zoom), pixel_in_mm=self.__cfg.pixel_to_mm(zoom), @@ -529,7 +529,7 @@ class AareDAQ: smargon=self.__devs.smargon_pos, beam_size_mm=self.__cfg.beam_size_mm, aerotech=Coordinate(), - aerotech_meas=self.__devs.aerotech_pos + aerotech_meas=aerotech_coord ) return sample_geom From 5bb5186d48cd95f75dd0a336fba2bedfeecadc83 Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Fri, 16 Jan 2026 16:00:08 +0100 Subject: [PATCH 033/144] DAQ: Fix Aerotech position calculation --- src/aare/daq/daq.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index 3372df32..387aba08 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -521,15 +521,15 @@ class AareDAQ: def sample_geometry(self) -> SampleGeometryModel: zoom = self.__devs.zoom aerotech_pos_ref = self.__cfg.abr_meas_pos - aerotech_coord = self.__devs.aerotech_pos - aerotech_pos_ref + aerotech_pos = self.__devs.aerotech_pos sample_geom = SampleGeometryModel( beam_location_pxl=self.__cfg.beam_mark_coeff.apply(zoom), pixel_in_mm=self.__cfg.pixel_to_mm(zoom), omega_deg=self.__devs.aerotech_omega, smargon=self.__devs.smargon_pos, beam_size_mm=self.__cfg.beam_size_mm, - aerotech=Coordinate(), - aerotech_meas=aerotech_coord + aerotech=aerotech_pos - aerotech_pos_ref, + aerotech_meas=aerotech_pos ) return sample_geom From 9479c951067e685c59112c7fa77fadb3eec5adf1 Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Fri, 16 Jan 2026 16:14:51 +0100 Subject: [PATCH 034/144] GUI: Camera thread improvements --- src/aare/common/autofocus_tools.py | 54 +++++++++++++++ src/aare/gui/main_window.py | 4 +- src/aare/gui/threads/camera_thread.py | 69 +++++++------------ src/aare/gui/threads/prediction_subscriber.py | 42 +++++++++++ 4 files changed, 122 insertions(+), 47 deletions(-) create mode 100644 src/aare/common/autofocus_tools.py create mode 100644 src/aare/gui/threads/prediction_subscriber.py diff --git a/src/aare/common/autofocus_tools.py b/src/aare/common/autofocus_tools.py new file mode 100644 index 00000000..25056e21 --- /dev/null +++ b/src/aare/common/autofocus_tools.py @@ -0,0 +1,54 @@ +import cv2 +import numpy as np + +def focus_measure_edges(gray: np.ndarray, mask: np.ndarray | None = None) -> float: + # mild denoise (optional but usually stabilizes the curve) + gray = cv2.GaussianBlur(gray, (3, 3), 0) + + gx = cv2.Scharr(gray, cv2.CV_64F, 1, 0) + gy = cv2.Scharr(gray, cv2.CV_64F, 0, 1) + g2 = gx * gx + gy * gy + + roi = g2[mask] if mask is not None else g2.reshape(-1) + if roi.size == 0: + return 0.0 + + # threshold relative to median -> knocks out noise floor + t = float(np.median(roi) * 3.0) + strong = roi[roi > t] + if strong.size == 0: + return 0.0 + + return float(strong.mean()) # higher = sharper + +def focus_measure_blob_size(gray: np.ndarray, mask: np.ndarray | None = None) -> float: + """ + Measures sharpness for a single bright blob. + Higher = sharper (smaller blob). + """ + g = gray.astype(np.float64) + + if mask is not None: + g = np.where(mask, g, 0.0) + + # Background subtraction is crucial for blob metrics + # Use a large-ish blur as background estimate (tune ksize to your scale) + bg = cv2.GaussianBlur(g, (0, 0), sigmaX=10.0, sigmaY=10.0) + s = g - bg + s[s < 0] = 0.0 + + total = float(s.sum()) + if total <= 0: + return 0.0 + + h, w = s.shape + y, x = np.mgrid[0:h, 0:w] + + cx = float((s * x).sum() / total) + cy = float((s * y).sum() / total) + + # intensity-weighted second central moment (variance) + var = float((s * ((x - cx) ** 2 + (y - cy) ** 2)).sum() / total) + + # smaller var => sharper, so invert + return float(1.0 / (var + 1e-9)) \ No newline at end of file diff --git a/src/aare/gui/main_window.py b/src/aare/gui/main_window.py index f73f5a49..4a044cd8 100644 --- a/src/aare/gui/main_window.py +++ b/src/aare/gui/main_window.py @@ -28,7 +28,8 @@ from aare.gui.scan_logic.raster_grid_manager import RasterGridManager from aare.gui.scan_logic.rotation_scan_manager import RotationScanManager from aare.gui.scan_logic.sample_mount_logic import SampleMountLogic from aare.gui.threads.axis_video_thread import VideoThread -from aare.gui.threads.camera_thread import SampleCameraThread, PredictionSubscriber +from aare.gui.threads.camera_thread import SampleCameraThread +from aare.gui.threads.prediction_subscriber import PredictionSubscriber from aare.gui.threads.daq_worker import DAQWorker from aare.gui.threads.jfjoch_viewer import JFJochDBusClient from aare.gui.widgets.camera_image import SampleCameraImageLabel @@ -339,6 +340,7 @@ class MainWindow(QMainWindow): self.daq.update.connect(self.sample_camera.update_daq_status) self.daq.update.connect(self.tell_samples.update_daq_status) self.daq.update.connect(self.ref_tools_panel.update_daq_status) + self.daq.update.connect(self.camera_thread.update_daq_status) if self.__decoded_token.staff: self.daq.update.connect(self.beamline.beam_size.update_daq_status) diff --git a/src/aare/gui/threads/camera_thread.py b/src/aare/gui/threads/camera_thread.py index f1a61707..a2b9d4d6 100644 --- a/src/aare/gui/threads/camera_thread.py +++ b/src/aare/gui/threads/camera_thread.py @@ -6,6 +6,8 @@ import zmq from PySide6.QtCore import QThread, Signal, Slot from PySide6.QtGui import QImage, QPixmap +from aare.common.autofocus_tools import focus_measure_edges +from aare.common.models import DAQStatusModel class SampleCameraThread(QThread): # Define a signal to communicate messages from the thread to the main GUI @@ -22,6 +24,19 @@ class SampleCameraThread(QThread): self.running = True self.__measure_focus = True + self.__focus_mask = None + self.__beam_x = 0 + self.__beam_y = 0 + self.__last_beam_pos = None + self.__radius = 40 + + @Slot(DAQStatusModel) + def update_daq_status(self, s: DAQStatusModel): + self.__beam_x = s.geom.beam_location_pxl.x + self.__beam_y = s.geom.beam_location_pxl.y + if (self.__beam_x, self.__beam_y) != self.__last_beam_pos: + self.__focus_mask = None # Invalidate cache + self.__last_beam_pos = (self.__beam_x, self.__beam_y) @Slot(bool) def enable_focus_measurement(self, enabled: bool = True): @@ -46,11 +61,15 @@ class SampleCameraThread(QThread): if self.__measure_focus: gray = cv2.cvtColor(rgb_image, cv2.COLOR_RGB2GRAY) - laplacian = cv2.Laplacian(gray, cv2.CV_64F) - self.focus_measure.emit(float(laplacian.var())) + if self.__focus_mask is None or self.__focus_mask.shape != gray.shape: + height, width = gray.shape + y, x = np.ogrid[:height, :width] + self.__focus_mask = (x - self.__beam_x) ** 2 + (y - self.__beam_y) ** 2 <= self.__radius ** 2 - qimage = QImage(rgb_image.data, header_shape[1], header_shape[0], #For ethernet need header_shape[0], header_shape[1], header_shape[0]*3, - QImage.Format.Format_RGB888) + sharpness = focus_measure_edges(gray, self.__focus_mask) + self.focus_measure.emit(sharpness) + + qimage = QImage(rgb_image.data, header_shape[1], header_shape[0], QImage.Format.Format_RGB888) self.camera_image.emit(QPixmap.fromImage(qimage)) else: print("Sample camera image has wrong dimensions") @@ -67,45 +86,3 @@ class SampleCameraThread(QThread): self.__socket.close() self.quit() self.wait() - -class PredictionSubscriber(QThread): - # emits parsed JSON payload (dict with keys: time, frame_id, shape, boxes) - prediction = Signal(dict) - - def __init__(self, pred_zmq_url: str, topic: bytes = b"", parent=None): - super().__init__(parent) - self._ctx = zmq.Context() - self._sock = self._ctx.socket(zmq.SUB) - if topic: - self._sock.setsockopt(zmq.SUBSCRIBE, topic) - else: - self._sock.setsockopt(zmq.SUBSCRIBE, b"") - self._sock.connect(pred_zmq_url) - self.running = True - - def run(self): - while self.running: - try: - parts = self._sock.recv_multipart() - if not parts: - continue - # publisher sends either raw JSON or [topic, json] - payload_bytes = parts[-1] - try: - payload = json.loads(payload_bytes.decode("utf-8")) - except Exception: - continue - self.prediction.emit(payload) - except Exception as e: - print("PredictionSubscriber error:", e) - break - - def stop(self): - self.running = False - try: - self._sock.close() - except Exception: - pass - self.quit() - print("Prediction thread stopped. Exiting...") - self.wait() \ No newline at end of file diff --git a/src/aare/gui/threads/prediction_subscriber.py b/src/aare/gui/threads/prediction_subscriber.py new file mode 100644 index 00000000..4e506465 --- /dev/null +++ b/src/aare/gui/threads/prediction_subscriber.py @@ -0,0 +1,42 @@ +import json + +import zmq +from PySide6.QtCore import QThread, Signal + +class PredictionSubscriber(QThread): + # emits parsed JSON payload (dict with keys: time, frame_id, shape, boxes) + prediction = Signal(dict) + + def __init__(self, pred_zmq_url: str, topic: bytes = b"", parent=None): + super().__init__(parent) + self._ctx = zmq.Context() + self._sock = self._ctx.socket(zmq.SUB) + if topic: + self._sock.setsockopt(zmq.SUBSCRIBE, topic) + else: + self._sock.setsockopt(zmq.SUBSCRIBE, b"") + self._sock.connect(pred_zmq_url) + self.running = True + + def run(self): + while self.running: + try: + parts = self._sock.recv_multipart() + if not parts: + continue + # publisher sends either raw JSON or [topic, json] + payload_bytes = parts[-1] + try: + payload = json.loads(payload_bytes.decode("utf-8")) + except Exception: + continue + self.prediction.emit(payload) + except Exception as e: + print("PredictionSubscriber error:", e) + break + + def stop(self): + self.running = False + self._sock.close() + self.quit() + self.wait() \ No newline at end of file From 8c45eb7be9046cf0416cb0dbd454329bd84d9671 Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Fri, 16 Jan 2026 17:14:54 +0100 Subject: [PATCH 035/144] GUI: Autofocus - work in progress --- src/aare/common/models.py | 4 +- src/aare/daq/daq.py | 160 +++++++++++++++++++++++++- src/aare/daq/server.py | 2 +- src/aare/gui/threads/camera_thread.py | 5 +- src/aare/gui/widgets/camera_image.py | 7 +- 5 files changed, 169 insertions(+), 9 deletions(-) diff --git a/src/aare/common/models.py b/src/aare/common/models.py index fd7827ee..da028d0a 100644 --- a/src/aare/common/models.py +++ b/src/aare/common/models.py @@ -673,8 +673,8 @@ def zoom_manager(mode: ZoomModeEnum = ZoomModeEnum.User, beamline: MXBeamline = class AutofocusSettings(BaseModel): - center_x_pxl: float - center_y_pxl: float + center_x_pxl: float | None # Use beam center + center_y_pxl: float | None # Use beam center radius_pxl: float z_range_um: float z_steps: int diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index 387aba08..a1745fed 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -13,7 +13,7 @@ import numpy as np import aare.common.face_detection as fd from aare.daq import workflows from aare.daq.aaredb import AareWrapper - +from aare.common.autofocus_tools import focus_measure_edges from aare.daq.config import BeamlineConfig from aare.daq.config import BeamlineStateEnum from aare.daq.devices import BeamlineDevices @@ -25,7 +25,7 @@ from aare.common.logger_config import setup_logger from aare.common.models import ( SampleShortInfo, PuckLoadedInfo, - SampleShortInfoList, + SampleShortInfoList, AutofocusSettings, DAQStatusModel, BeamlineStatus, SessionStatus, SampleCameraSettings, ZoomModeEnum, SimpleScanParameters, MLBoxModel, FluorescenceSpectrumParameterModel, FluorescenceSpectrumOutputModel) @@ -352,6 +352,162 @@ class AareDAQ: def list_loaded_pucks(self) -> List[PuckLoadedInfo]: return [] + def __auto_focus(self, settings: AutofocusSettings, settle_time_s: float = 1.0) -> float: + """ + Scan smargon Z and find the position with maximum focus measure. + + Args: + settings: AutofocusSettings with center, radius, range, and steps + settle_time_s: Time to wait after each move before capturing image + + Returns: + Best Z position (mm) found during the scan + """ + geom = self.sample_geometry + current_smargon = self.__devs.smargon_pos + + # Get center for the mask (use beam center if not specified) + center_x = geom.beam_location_pxl.x + center_y = geom.beam_location_pxl.y + radius_pxl = 30 + + # Convert z_range from um to mm + z_range_mm = settings.z_range_um / 1000.0 + n_steps = settings.z_steps + + # Starting Z position (current sh_mm) + z_start = 0.0 + z_min = z_start - z_range_mm / 2.0 + z_max = z_start + z_range_mm / 2.0 + z_step = z_range_mm / (n_steps - 1) if n_steps > 1 else 0.0 + + # Pre-compute mask (will be created on first image) + focus_mask: np.ndarray | None = None + + # Collect focus measures at each Z position + z_positions: list[float] = [] + focus_values: list[float] = [] + + print(f"Starting autofocus: z_range={z_range_mm * 1000:.1f}um, steps={n_steps}, " + f"center=({center_x:.1f}, {center_y:.1f}), radius={radius_pxl:.1f}px") + + + for i in range(n_steps): + z_pos = z_min + i * z_step + + # Move to position + target = SmargonCoordinate( + chi_deg=current_smargon.chi_deg, + phi_deg=current_smargon.phi_deg, + sh_mm=geom.beamline_to_smargon(Coordinate(z=z_pos)) + ) + self.__devs.smargon_pos = target + self.__devs.smargon_wait(timeout=30) + + # Wait for mechanical settling and image stabilization + time.sleep(settle_time_s) + + # Capture image + img = self.camera_image + img = img[:, ::-1, :].copy() # Apply horizontal flip to match GUI + gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY) + + print(gray.shape) + if gray is None: + logger.warning(f"Failed to get image at z={z_pos:.4f}") + continue + + # Create mask on first valid image + if focus_mask is None or focus_mask.shape != gray.shape: + h, w = gray.shape + y, x = np.ogrid[:h, :w] + focus_mask = (x - center_x) ** 2 + (y - center_y) ** 2 <= radius_pxl ** 2 + + # Calculate focus measure + fm = focus_measure_edges(gray, focus_mask) + + roi_pixels = gray[focus_mask] if focus_mask is not None else gray.ravel()[:2824] + print(f"Step {i}: gray mean={gray.mean():.1f}, roi mean={roi_pixels.mean():.1f}, " + f"roi std={roi_pixels.std():.1f}, roi min={roi_pixels.min()}, roi max={roi_pixels.max()}") + + z_positions.append(z_pos) + focus_values.append(fm) + logger.debug(f"Autofocus step {i + 1}/{n_steps}: z={z_pos:.4f}mm, focus={fm:.2f}") + print(f"Autofocus step {i + 1}/{n_steps}: z={z_pos:.4f}mm, focus={fm:.2f}") + if len(z_positions) < 3: + logger.error("Autofocus failed: not enough valid measurements") + # Return to original position + self.__devs.smargon_pos = current_smargon + self.__devs.smargon_wait(timeout=30) + return z_start + + # Find best position - use parabolic fit around the peak for sub-step precision + z_arr = np.array(z_positions) + fm_arr = np.array(focus_values) + + # Find index of maximum + peak_idx = int(np.argmax(fm_arr)) + + # Try parabolic fit if peak is not at the edge + if 0 < peak_idx < len(fm_arr) - 1: + # Fit parabola to 3 points around peak: f(z) = a*z^2 + b*z + c + z_fit = z_arr[peak_idx - 1: peak_idx + 2] + fm_fit = fm_arr[peak_idx - 1: peak_idx + 2] + try: + coeffs = np.polyfit(z_fit, fm_fit, 2) + a, b, c = coeffs + if a < 0: # Parabola opens downward (valid peak) + best_z = -b / (2 * a) + # Sanity check: best_z should be within the fitted range + if z_fit[0] <= best_z <= z_fit[2]: + logger.info(f"Autofocus: parabolic fit found peak at z={best_z:.4f}mm") + else: + best_z = z_arr[peak_idx] + logger.info(f"Autofocus: parabolic fit out of range, using sample peak z={best_z:.4f}mm") + else: + best_z = z_arr[peak_idx] + logger.info(f"Autofocus: invalid parabola, using sample peak z={best_z:.4f}mm") + except Exception as e: + logger.warning(f"Parabolic fit failed: {e}, using sample peak") + best_z = z_arr[peak_idx] + else: + best_z = z_arr[peak_idx] + logger.warning(f"Autofocus: peak at edge of scan range, z={best_z:.4f}mm") + + # Move to best position + best_target = SmargonCoordinate( + chi_deg=current_smargon.chi_deg, + phi_deg=current_smargon.phi_deg, + sh_mm=geom.beamline_to_smargon(Coordinate(z=best_z)), + ) + self.__devs.smargon_pos = best_target + self.__devs.smargon_wait(timeout=30) + + logger.warning(f"Autofocus complete: best_z={best_z:.4f}mm, " + f"focus_range=[{min(fm_arr):.2f}, {max(fm_arr):.2f}]") + + return best_z + + def auto_focus(self, settings: AutofocusSettings) -> float: + """ + Public autofocus method. Only allowed in SampleAlignment state. + + Args: + settings: AutofocusSettings with center, radius, range, and steps + + Returns: + Best Z position (mm) found during the scan + """ + self.__cfg.set_busy(BeamlineStateEnum.SampleAlignment) + try: + best_z = self.__auto_focus(settings) + self.__cfg.state_busy = False + return best_z + except Exception as e: + logger.error(f"Autofocus failed: {e}") + self.__cfg.state_busy = False + raise + def __auto_center(self, grid: RasterGridRequest) -> CompletedRasterGrid | None: sample = self.sample diff --git a/src/aare/daq/server.py b/src/aare/daq/server.py index b46c2316..f482271b 100644 --- a/src/aare/daq/server.py +++ b/src/aare/daq/server.py @@ -201,7 +201,7 @@ async def samcam_settings(s: SampleCameraSettings, token: str = Depends(oauth2_s async def samcam_autofocus(s: AutofocusSettings, token: str = Depends(oauth2_scheme)): logger.debug(f"SamCam AutoFocus") auth.check_jwt_rw(cfg, auth.parse_token(token)) - daq.autofocus(s) + daq.auto_focus(s) return "OK" @app.post("/beamline/shutter") diff --git a/src/aare/gui/threads/camera_thread.py b/src/aare/gui/threads/camera_thread.py index a2b9d4d6..15214f48 100644 --- a/src/aare/gui/threads/camera_thread.py +++ b/src/aare/gui/threads/camera_thread.py @@ -58,7 +58,6 @@ class SampleCameraThread(QThread): rgb_image = cv2.cvtColor(bayer_image, cv2.COLOR_BAYER_GB2RGB) #cv2.COLOR_BAYER_GB2RGB for ethernet connection rgb_image = rgb_image[:, ::-1, :].copy() - if self.__measure_focus: gray = cv2.cvtColor(rgb_image, cv2.COLOR_RGB2GRAY) if self.__focus_mask is None or self.__focus_mask.shape != gray.shape: @@ -67,6 +66,10 @@ class SampleCameraThread(QThread): self.__focus_mask = (x - self.__beam_x) ** 2 + (y - self.__beam_y) ** 2 <= self.__radius ** 2 sharpness = focus_measure_edges(gray, self.__focus_mask) + print(f"GUI: mask pixels: {self.__focus_mask.sum()}, " + f"center=({self.__beam_x:.1f}, {self.__beam_y:.1f}), " + f"radius={self.__radius}, " + f"focus={sharpness:.2f}") self.focus_measure.emit(sharpness) qimage = QImage(rgb_image.data, header_shape[1], header_shape[0], QImage.Format.Format_RGB888) diff --git a/src/aare/gui/widgets/camera_image.py b/src/aare/gui/widgets/camera_image.py index 19e54aef..eefdcf24 100644 --- a/src/aare/gui/widgets/camera_image.py +++ b/src/aare/gui/widgets/camera_image.py @@ -371,9 +371,10 @@ class SampleCameraImageLabel(QGraphicsView): self.__screenshot_with_dialog(overlay=True) elif action == autofocus_action: c = self.mapToScene(event.pos()) - self.autofocus.emit(AutofocusSettings(center_x_pxl=c.x(), center_y_pxl=c.y(), - radius_pxl=100, z_range_um=0.5, - z_steps=25)) + self.autofocus.emit(AutofocusSettings(center_x_pxl=None, center_y_pxl=None, + radius_pxl=30, + z_range_um=2000, + z_steps=10)) elif action == beam_mark_action: c = self.mapToScene(event.pos()) self.update_beam_mark.emit(c.x(), c.y()) From 8ef96c9ca76cb1b088347bc4e51948359f9fa7cc Mon Sep 17 00:00:00 2001 From: leonarski_f Date: Fri, 16 Jan 2026 17:24:00 +0100 Subject: [PATCH 036/144] DAQ: Doesn't work and don't know why --- src/aare/common/autofocus_tools.py | 5 +++++ src/aare/daq/daq.py | 12 ++++-------- 2 files changed, 9 insertions(+), 8 deletions(-) diff --git a/src/aare/common/autofocus_tools.py b/src/aare/common/autofocus_tools.py index 25056e21..66747022 100644 --- a/src/aare/common/autofocus_tools.py +++ b/src/aare/common/autofocus_tools.py @@ -16,9 +16,14 @@ def focus_measure_edges(gray: np.ndarray, mask: np.ndarray | None = None) -> flo # threshold relative to median -> knocks out noise floor t = float(np.median(roi) * 3.0) strong = roi[roi > t] + if strong.size == 0: return 0.0 + print(f"mask pixels: {mask.sum()}, " + f"focus={strong.mean():.2f}" + f"strong_size={strong.size}") + return float(strong.mean()) # higher = sharper def focus_measure_blob_size(gray: np.ndarray, mask: np.ndarray | None = None) -> float: diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index a1745fed..61fcae0d 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -408,11 +408,8 @@ class AareDAQ: time.sleep(settle_time_s) # Capture image - img = self.camera_image - img = img[:, ::-1, :].copy() # Apply horizontal flip to match GUI - gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY) + gray = self.camera_image_gray - print(gray.shape) if gray is None: logger.warning(f"Failed to get image at z={z_pos:.4f}") continue @@ -423,13 +420,12 @@ class AareDAQ: y, x = np.ogrid[:h, :w] focus_mask = (x - center_x) ** 2 + (y - center_y) ** 2 <= radius_pxl ** 2 + print(focus_mask.shape) + print(gray.shape) + # Calculate focus measure fm = focus_measure_edges(gray, focus_mask) - roi_pixels = gray[focus_mask] if focus_mask is not None else gray.ravel()[:2824] - print(f"Step {i}: gray mean={gray.mean():.1f}, roi mean={roi_pixels.mean():.1f}, " - f"roi std={roi_pixels.std():.1f}, roi min={roi_pixels.min()}, roi max={roi_pixels.max()}") - z_positions.append(z_pos) focus_values.append(fm) logger.debug(f"Autofocus step {i + 1}/{n_steps}: z={z_pos:.4f}mm, focus={fm:.2f}") From a3267413cbdc35ca3e417a2affb30ceca90183a2 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 16 Jan 2026 17:25:33 +0100 Subject: [PATCH 037/144] DAQ: added bec class --- src/aare/devices/bec_worker.py | 86 ++++++++++++++++++++++++++++++++++ src/aare/devices/my_motor.py | 34 +++++++++++++- 2 files changed, 119 insertions(+), 1 deletion(-) create mode 100644 src/aare/devices/bec_worker.py diff --git a/src/aare/devices/bec_worker.py b/src/aare/devices/bec_worker.py new file mode 100644 index 00000000..ee98dff9 --- /dev/null +++ b/src/aare/devices/bec_worker.py @@ -0,0 +1,86 @@ +from bec_lib.client import BECClient +from bec_lib.service_config import ServiceConfig +from bec_lib.procedures.helper import FrontendProcedureHelper, BackendProcedureHelper + +#specify up to 10 queue to runs in parallel, request more if needed! +# st = client.proc.request_new("sleep", ((), {"time_s":5}), queue="test") + +#to see all deevices +#devs.show_all + +#helper fucntions +# helper.get.active_and_pending_queue_names() +# helper.get.running_procedures() +# helper.request.abort_queue() + +class BECClientWorker: + def __init__(self, service_config:ServiceConfig, name:str = "default"): + self.client = BECClient(config=service_config, name=name) + self.client.start() + #self.client.config.update_session_with_file("/sls/x10sa/config/bec/production/bec/bec_lib/bec_lib/config_helper.py") + self.devs = self.client.device_manager.devices + self.scans = self.client.scans + self.macros = self.client.macros + self.load_user_macros() + self.helper = FrontendProcedureHelper(self.client.connector) + + def run_macro(self, macro_name:str, *args, queue:str = "default", **kwargs): + return self.client.proc.run_macro(macro_name, *args, "iln", queue=queue) + + def run_macro_blocked(self, macro_name:str, *args, queue:str = "default", **kwargs): + try: + status = self.run_macro(macro_name, *args, queue=queue) + print(status) + status.wait() + print(status) + return status + except Exception as e: + print(f"Error: {e}") + return None + + def show_all_devices(self): + return self.devs.show_all + + def list_all_macros(self): + return self.macros.list_user_macros() + + def load_user_macros(self): + self.macros.load_all_user_macros() + + def shutdown_client(self): + self.client.shutdown() + +if __name__ == "__main__": + service_config = ServiceConfig(redis={"host": "x10sa-bec-001.psi.ch", "port": 6379}) + client = BECClientWorker(service_config, "default") + client.show_all_devices() + client.list_all_macros() + try: + client.run_macro_blocked("a2e", 160, "iln", queue="test") + except Exception as e: + print(f"Error: {e}") + client.shutdown_client() + +# +# try: +# st = client.proc.run_macro("a2e", 160, "iln", queue="test") +# print(st) +# st.wait() +# print(st) +# status_1 = scans.umv(bec_dev.bs_x, -1.0, bec_dev.bs_y, -1.0, relative = True) # blocking +# print( +# f"Moved to position {bec_dev.bs_x.position} with status {status.status}" +# ) +# status = scans.mv(bec_dev.bs_x, 1.0, bec_dev.bs_y, 1.0, relative=True) # none blocking +# status.wait() +# print( +# f"Moved to position {bec_dev.bs_x.position} with status {status.status}" +# ) +# except Exception as e: +# print(f"Error: {e}") +# +# client.shutdown() + + +#backend wont work unless bec server will work, frontend anywehre with user access + diff --git a/src/aare/devices/my_motor.py b/src/aare/devices/my_motor.py index 97ab3603..b4180d36 100644 --- a/src/aare/devices/my_motor.py +++ b/src/aare/devices/my_motor.py @@ -66,6 +66,7 @@ class MyMotor(Motor): :param wait: If True, waits for completion (synchronous) :param timeout: Maximum time to wait for completion """ + return self.move(val, relative=relative, wait=wait, timeout=timeout) def home(self, direction='forward', wait=False): @@ -97,4 +98,35 @@ class MyMotor(Motor): while self.moving: await asyncio.sleep(poll_rate) if time.time() - start_time > timeout: - raise RuntimeError(f"Timeout waiting for motor {self.name} to stop") \ No newline at end of file + raise RuntimeError(f"Timeout waiting for motor {self.name} to stop") + + # def pv_wait(pv: Union[PV, Motor], target: Union[str, int, float], timeout: float = 30.0, + # polling: float = 0.1, tolerance: float | None = None): + # """ + # Unified wait function for Motors and PVs (Strings, Enums, Floats). + # """ + # start_time = time.monotonic() + # end_time = start_time + timeout + # + # # Handle Motors + # if isinstance(pv, Motor): + # if tolerance is None: + # # Try to get the motor resolution/deadband + # tolerance = pv.get("RDBD") or 0.01 + # + # while time.monotonic() < end_time: + # if pv.done_moving and abs(pv.readback - target) <= tolerance: + # return + # + # raise ValueWaitTimeout( + # f"Motor {pv.name} timeout. Target: {target}, Current: {pv.readback}, Done: {pv.done_moving}" + # ) + # + # def wait_for_movement_to_finish(*motors: Motor, timeout: float = 60.0): + # """Wait for a group of motors to stop moving.""" + # start_time = time.time() + # while not all(m.done_moving for m in motors): + # if time.time() - start_time > timeout: + # moving = [m.name for m in motors if not m.done_moving] + # raise TimeoutError(f"Timeout waiting for motors: {', '.join(moving)}") + # poll(0.1) \ No newline at end of file From a49176aa1346ac07e70dadb32b6b2eee35d86574 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 22 Jan 2026 10:10:42 +0100 Subject: [PATCH 038/144] DAQ: added functionality to set global variables for aerotech controller in epics --- src/aare/devices/aerotech.py | 88 ++++++++++++++++++++++++++++++------ 1 file changed, 74 insertions(+), 14 deletions(-) diff --git a/src/aare/devices/aerotech.py b/src/aare/devices/aerotech.py index 20a516fb..19650cbe 100644 --- a/src/aare/devices/aerotech.py +++ b/src/aare/devices/aerotech.py @@ -3,9 +3,10 @@ import sys import threading import time from enum import Enum +from typing import Union #import automation1 as a1 -from epics import PV, Motor +from epics import PV, Motor, caput, caget from aare.common.beamline import MXBeamline, mx_beamline from aare.devices.my_motor import MyMotor @@ -17,6 +18,7 @@ class AerotechController: self.controller = None else: self.controller = a1.Controller.connect(controller_ip) + self.start_controller() def start_controller(self): @@ -29,6 +31,8 @@ class AerotechController: self.controller.runtime.commands.motion.enable(axis.upper()) def home_motor(self, axis: str): + if not self.controller.runtime.commands.motion.is_enabled(axis.upper()): + self.enable_motion(axis) self.controller.runtime.commands.motion.home(axis.upper()) @@ -40,26 +44,30 @@ class AerotechRunEnum(Enum): PAUSE = 4 RESET = 5 +class VariableTypeEnum(Enum): + INT = 0 + REAL = 1 + STRING = 2 class AerotechControllerEpics: def __init__(self, beamline: MXBeamline): BEAMLINE = beamline.value.upper() - aerotech_pv_prefix = f"{BEAMLINE}-ES-DF1" - trx_prefix = f"{aerotech_pv_prefix}:TRX1" - try_prefix = f"{aerotech_pv_prefix}:TRY1" - trz_prefix = f"{aerotech_pv_prefix}:TRZ1" - rotu_prefix = f"{aerotech_pv_prefix}:ROTU" + self.aerotech_pv_prefix = f"{BEAMLINE}-ES-DF1" + trx_prefix = f"{self.aerotech_pv_prefix}:TRX1" + try_prefix = f"{self.aerotech_pv_prefix}:TRY1" + trz_prefix = f"{self.aerotech_pv_prefix}:TRZ1" + rotu_prefix = f"{self.aerotech_pv_prefix}:ROTU" self.gmx = MyMotor(trx_prefix) self.gmy = MyMotor(try_prefix) self.gmz = MyMotor(trz_prefix) self.omega = MyMotor(rotu_prefix) - self.__enable_all = PV(f"{aerotech_pv_prefix}:EnableAll") - self.__disable_all = PV(f"{aerotech_pv_prefix}:DisableAll") - self.__acknowledge_all = PV(f"{aerotech_pv_prefix}:AckAll") - self.__stop_all = PV(f"{aerotech_pv_prefix}:StopAll") - self.__task_filename = PV(f"{aerotech_pv_prefix}:TASK:FILENAME") - self.__task_id = PV(f"{aerotech_pv_prefix}:TASK:TASKIDX") # values can be 1 to 4 DO NOT USE 0!!!! - self.__task_run_enum = PV(f"{aerotech_pv_prefix}:TASK:SWITCH") # 0 Stop, 1 Start, 2 Run, + self.__enable_all = PV(f"{self.aerotech_pv_prefix}:EnableAll") + self.__disable_all = PV(f"{self.aerotech_pv_prefix}:DisableAll") + self.__acknowledge_all = PV(f"{self.aerotech_pv_prefix}:AckAll") + self.__stop_all = PV(f"{self.aerotech_pv_prefix}:StopAll") + self.__task_filename = PV(f"{self.aerotech_pv_prefix}:TASK:FILENAME") + self.__task_id = PV(f"{self.aerotech_pv_prefix}:TASK:TASKIDX") # values can be 1 to 4 DO NOT USE 0!!!! + self.__task_run_enum = PV(f"{self.aerotech_pv_prefix}:TASK:SWITCH") # 0 Stop, 1 Start, 2 Run, # 3 Load, 4 Pause, 5 Reset self.enable_all() @@ -124,6 +132,53 @@ class AerotechControllerEpics: self.__task_run() print(self.__task_run_enum.get()) + def __set_global(self, index:int, value: Union[int, float, str], + timeout:float=10.0): + """Set a global variable in aerotech, it takes ~200 ms for the value to be set + :param index: select a variable to change. an integer between 0..256 for int and real variable for 0..31 for strings + :param value: the value to set can be int, float (REAL) or string + :param timeout: timeout for vairable change, default 10.0 seconds """ + var_type = self.__get_var_type(value) + caput(f"{self.aerotech_pv_prefix}:VAR:{var_type.upper()}-ADDR", index) + if var_type == 'STRING': + var_type = 'STRING-SHORT' + caput(f"{self.aerotech_pv_prefix}:VAR:{var_type.upper()}", value) + start = time.perf_counter() + while time.perf_counter() - start < timeout: + rbv = self.__read_global_from_index(index, var_type) + if rbv == str(value): + return + time.sleep(0.1) + + raise TimeoutError(f"Timeout setting global variable {index} to {value}") + + + def __read_global_feedback(self, index, var_type: str): + caput(f"{self.aerotech_pv_prefix}:VAR:{var_type.upper()}-RBV.PROC", 1) + time.sleep(0.5) + return caget(f"{self.aerotech_pv_prefix}:VAR:{var_type.upper()}-RBV", as_string=True) + + def __read_global_from_index(self, index, var_type: str): + return caget(f"{self.aerotech_pv_prefix}:VAR:{var_type.upper()}{index}_RBV", as_string=True) + + def __get_var_type(self, value): + if type(value) is int: + return VariableTypeEnum.INT.name + elif type(value) is float: + return VariableTypeEnum.REAL.name + elif type(value) is str: + return VariableTypeEnum.STRING.name + else: + raise ValueError(f"Invalid type {type(value)} for global variable") + + def get_global_variable(self, index: int, var_type:VariableTypeEnum): + return self.__read_global_from_index(index, var_type.name) + + def set_global_variable(self, index: int, value: Union[int, float, str]): + self.__set_global(index, value) + + + if __name__ == "__main__": beamline = mx_beamline() @@ -135,5 +190,10 @@ if __name__ == "__main__": #aerotech.disconnect() aerotech_epics = AerotechControllerEpics(beamline) + #aerotech_epics.omega.speed = 80.0 + print(aerotech_epics.get_global_variable(0, VariableTypeEnum.REAL)) + aerotech_epics.set_global_variable(0, 100.0) + print(aerotech_epics.get_global_variable(0, VariableTypeEnum.REAL)) + #aerotech_epics.omega.move(90.0, wait=True) #aerotech_epics.home_all() - #aerotech_epics.omega.move(90.0) + From f0fc3489495a5c55539999fe961954c999bce9a0 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 22 Jan 2026 10:11:19 +0100 Subject: [PATCH 039/144] aera_det: added set_manual in case set_atuo is used. --- src/aare/devices/area_detector.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/src/aare/devices/area_detector.py b/src/aare/devices/area_detector.py index 082f8cb1..873980dc 100644 --- a/src/aare/devices/area_detector.py +++ b/src/aare/devices/area_detector.py @@ -134,6 +134,12 @@ class epicsAD(object): self.expo_mode.put(2) # automatic exposure control self.acquire.put(1) + def set_manual(self): + self.acquire.put(0, wait=True) + self.gain_mode.put(0) # automatic gain control + self.expo_mode.put(0) # automatic exposure control + self.acquire.put(1) + def restore(self, gain: float = 5, expo: float = 0.025): # Put this values, so the camera faster resores proper values in Auto mode self.acquire.put(0, wait=True) From 7dc103e2380334b51f1d0351bd29c9ccc1537876 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 22 Jan 2026 10:12:29 +0100 Subject: [PATCH 040/144] Devices: added samcam_auto function to switch between EPICs SAMCAM inbuilt auto exposure and manual exposure. Auto exposure is not good at low zooms --- src/aare/daq/devices.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/src/aare/daq/devices.py b/src/aare/daq/devices.py index 6d2e26c4..7c9ccda8 100644 --- a/src/aare/daq/devices.py +++ b/src/aare/daq/devices.py @@ -193,6 +193,12 @@ class BeamlineDevices: def samcam_get_image(self, /, gray: bool = False) -> np.ndarray: return self.__sample_cam.get_image(gray=gray) + def samcam_auto(self, val: bool = False): + if val: + self.__sample_cam.set_auto() + else: + self.__sample_cam.set_manual() + # Detector Z @property def dtz(self) -> float: From db6b95a9e4b4498c1101420e1bccdac093013275 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 22 Jan 2026 10:13:32 +0100 Subject: [PATCH 041/144] My_motor: changed speed to get and put VELO rbv as Motor.slew_speed was not working --- src/aare/devices/my_motor.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/aare/devices/my_motor.py b/src/aare/devices/my_motor.py index b4180d36..4ece9715 100644 --- a/src/aare/devices/my_motor.py +++ b/src/aare/devices/my_motor.py @@ -10,12 +10,12 @@ class MyMotor(Motor): @property def speed(self): """Gets the current motor.slew_speed value""" - return self.slew_speed + return self.get('VELO') @speed.setter def speed(self, v): """Sets the motor slew speed""" - self.slew_speed = v + self.put('VELO', v) @property def position(self): From d05a60d49584147cc4003c6fa2e1e1c5715433fd Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 22 Jan 2026 10:13:54 +0100 Subject: [PATCH 042/144] Devices: non_standard rewrite, WIP --- src/aare/devices/non_standard.py | 340 +++++++------------------------ 1 file changed, 70 insertions(+), 270 deletions(-) diff --git a/src/aare/devices/non_standard.py b/src/aare/devices/non_standard.py index a5b64ae2..a6b198c4 100644 --- a/src/aare/devices/non_standard.py +++ b/src/aare/devices/non_standard.py @@ -1,285 +1,85 @@ import time -from typing import Callable, cast - +from typing import Any, Dict, Optional, Union from epics import PV, poll -from epics.ca import pend_io +from aare.devices.mx_lib import pv_wait -def is_number(x): - return isinstance(x, (int, float)) +class NonStandard: + """ + A wrapper for EPICS PVs that have separate setpoint and readback PVs. + Similar to EnumPv but supports arbitrary numeric or string types and predefined positions. + """ + def __init__( + self, + name: str, + setpv: str, + getpv: str, + timeout: float = 60.0, + tolerance: Optional[float] = None, + predefs: Optional[Dict[str, Any]] = None, + **kwargs + ): + self.name = name + self.device_name = name + self.setpoint_pv = PV(setpv) + self.readback_pv = PV(getpv) + self.default_timeout = timeout + self.tolerance = tolerance -class NonStandard(object): - def __init__(self, **kwargs): - mandatory = ["name", "setpv", "getpv"] - if set(mandatory) != set(kwargs.keys()) & set(mandatory): - raise RuntimeError( - "missing mandatory argument(s): {}".format(str(list(set(mandatory) - set(kwargs.keys())))) - ) - self.name = kwargs.get("name") - self.__target_pos: float | int | str = 0 - self.device_name = self.name - self.__setpv = PV(kwargs["setpv"]) - self.__getpv = PV(kwargs["getpv"]) - self.__timeout_margin = kwargs.get("timeout", 2.0) # add this safety margin to timeout calc from speed - self.__timeout = kwargs.get("timeout", 60.0) - self.__format = kwargs.get("format") + self._predefs = predefs or {} + self.positions = list(self._predefs.keys()) + self._target_pos: Optional[Any] = None + if kwargs.get("move_done_when"): + self.__move_done_when = PV(kwargs.get("move_done_when")) - p = kwargs.get("speed") - if p is not None: - if is_number(p): - self.__speed_set, self.__speed_get = p, p - elif type(p) in [tuple, list] and len(p) == 2: - self.__speed_set = PV(p[0]) - self.__speed_get = PV(p[1]) - else: - raise Exception(f"{self.name} => don't know how to parse speed parameter") - else: - self.__speed_set, self.__speed_get = None, None - # - # move_done_when a tuple, first item the pv to read - # second item, the int type indicating that it is DONE - # - p = kwargs.get("move_done_when") - if p is not None: - self.__move_flag = PV(p[0]) - self.__move_flag_done = p[1] - else: - self.__move_flag = None + @property + def value(self) -> Any: + """Alias for position to maintain compatibility.""" + if not self.readback_pv.connected: + return None + return self.readback_pv.get() - # - # stoppv a tuple, first item the pv to read - # second item, the int type to put to stop the motor - # - p = kwargs.get("stoppv") - if p is not None: - self.__stoppv = PV(p[0]) - self.__stoppv_done = p[1] - else: - self.__stoppv = None + def get_predefined_name(self) -> str: + """Returns the name of the predefined position if current position matches one.""" + current = self.value + for name, val in self._predefs.items(): + # Handle callable predefs (like offsets) + target = val[0](*val[1]) if isinstance(val, tuple) and callable(val[0]) else val - # - # still_moving_when a tuple, first item the pv to read - # second item, the int type indicating that it is still moving. - # - p = kwargs.get("still_moving_when") - if p is not None: - self.__still_moving_flag = PV(p[0]) - self.__still_moving_flag_value = p[1] - else: - self.__still_moving_flag = None - - p = kwargs.get("predefs") - if p: - self.__predefs = p - self.positions = list(p.keys()) - else: - self.__predefs = {} - self.positions = [] - - pend_io(5.0) - - typ = self.__ret_type = self.__getpv.type - - match str(typ): - case "double" | "time_double": - self.still_moving = self.__moving_float - case "int" | "time_int": - self.still_moving = self.__moving_int - case "string" | "time_string": - self.still_moving = self.__moving_str - case _: - self.still_moving = self.__moving_unknown - - tolerance = kwargs.get("tolerance", None) - if tolerance is not None and tolerance > 0: - self.tolerance = tolerance - elif tolerance is not None and tolerance < 0: - self.still_moving = self.__moving_unknown - - if self.__move_flag: - self.still_moving = self.is_move_not_done - elif self.__still_moving_flag: - self.still_moving = self.still_moving_when - - def __str__(self): - if self.positions: - return "<{} at {}({}) Pre-defined positions {}>".format( - self.name, self.__position(predef=True), self.position, self.positions - ) - else: - return "<{} at {}>".format(self.name, self.__position()) - - def __repr__(self): - if self.positions: - return "<{} instance at {}: {} at {}({}) Pre-defined positions {}>".format( - self.__class__.__name__, - hex(id(self)), - self.name, - self.__position(predef=True), - self.position, - self.positions, - ) - else: - return "<{} instance at {}: {} at {}>".format( - self.__class__.__name__, hex(id(self)), self.name, self.__position() - ) - - def still_moving_when(self): - return self.__still_moving_flag_value == self.__still_moving_flag.get() # type: ignore - - def is_moving(self): - return not self.is_move_done() - - def is_move_done(self): - return self.__move_flag_done == self.__move_flag.get() # type: ignore - - def is_move_not_done(self): - return not self.is_move_done() - - def __moving_float(self): - if type(self.__target_pos) is not float: - raise RuntimeError("target position is not an float") - current_value = cast(float, self.__getpv.get()) - return self.tolerance < abs(cast(float, self.__target_pos) - current_value) - - def __moving_int(self): - if type(self.__target_pos) is not int: - raise RuntimeError("target position is not an integer") - return self.__target_pos != self.__getpv.get() - - def __moving_str(self): - if type(self.__target_pos) is not str: - raise RuntimeError("target position is not a string") - current_value = cast(str, self.__getpv.get()) - return self.__target_pos.upper() != current_value.upper() - - def __moving_unknown(self): - return False - - def __position(self, predef: bool = False): - """returns either a predefined position or a readback - - :rtype: Union[str, float, int] - """ - cur = self.readback - if not predef: - return cur - # loop over predefined positions, if one found and - # readback matches it's value return "position" - for pos_label, val_or_cbk in self.__predefs.items(): - if self.__ret_type is bytes: - tst = val_or_cbk == cur - elif type(val_or_cbk) is tuple: - # a tuple (Callable, arg-to-Callable) - val = val_or_cbk[0](*val_or_cbk[1]) - tst = 0.1 > abs(val - cur) # FIXME sooo bad - else: - tst = 0.1 > abs(val_or_cbk - cur) - if tst: - return pos_label + # Use a small tolerance for floats if not provided + tol = self.tolerance if self.tolerance is not None else 0.1 + try: + if abs(current - target) < tol: + return name + except (TypeError, ValueError): + if current == target: + return name return "unknown" - def __readback(self): - return self.__getpv.get() + def move(self, pos: Union[str, float, int], wait: bool = False, timeout: Optional[float] = None): + """ + Move to a position. + 'pos' can be a raw value or a key from the predefs dictionary. + """ + # Resolve predefined position + target = self._predefs.get(pos, pos) + if isinstance(target, tuple) and callable(target[0]): + target = target[0](*target[1]) - readback = property(__readback) - position = property(__position) + self._target_pos = target + self.setpoint_pv.put(target) - def has_position(self, position: str) -> bool: - return position.lower() in [p.lower() for p in self.positions] - - def position_is(self, position, tolerance=0.1): - pos = self.__predefs.get(position, position) - cur = self.position - - print(f"position_is: {pos} == {cur}") - - if type(pos) is tuple: - pos = pos[0](*pos[1]) - - print(f"position_is: {pos} == {cur}") - - if self.__ret_type is bytes: - print("checking bytes") - return pos == cur - else: - print(f"checking numbers: abs({pos} - {cur}) < {tolerance}") - return abs(pos - cur) < tolerance - - def __value(self): - val = self.__getpv.get() - if self.__format is not None: - val = self.__format % (val,) - return val - - value = property(__value) - - def __raw_value(self): - return self.__getpv.get() - - raw_value = property(__raw_value) - - def __char_value(self): - return str(self.value) - - char_value = property(__char_value) - - def set_speed(self, speed): - if isinstance(self.__speed_set, PV): - self.__speed_set.put(speed) - elif is_number(self.__speed_set): - self.__speed_set = speed - self.__speed_get = speed - - def get_speed(self): - if is_number(self.__speed_get): - return self.__speed_get - elif isinstance(self.__speed_get, PV): - return self.__speed_get.value - else: - return None - - def get_timeout(self): - if not self.__speed_get: - timeout = self.__timeout - else: - speed = self.get_speed() - curp = self.position - if curp is None or self.__target_pos is None or speed is None: - timeout = self.__timeout_margin - raise RuntimeWarning("can't calculate timeout, ABR may be disconnected") - else: - timeout = self.__timeout_margin + (abs(curp - self.__target_pos) / speed) - return timeout - - def wait(self): - pos = self.__target_pos - timeout = time.time() + self.get_timeout() - - while time.time() < timeout and self.still_moving(): - poll(0.1) - if time.time() > timeout: - msg = "timeout occurred when moving %s to %s" % (self.name, pos) - print(msg) - raise RuntimeWarning(msg) - - def move(self, pos, relative=False, wait=False): - pos = self.__predefs.get(pos, pos) - if type(pos) is tuple: - pos = pos[0](*pos[1]) - - if relative: - pos += self.__getpv.get() - - self.__target_pos = pos - self.__setpv.put(pos) if wait: - time.sleep(0.1) - self.wait() + self.wait(timeout=timeout) - def stop(self): - if self.__stoppv: - self.__stoppv.put(self.__stoppv_done) - else: - raise RuntimeError("stop pv not configured for this motor") + def wait(self, timeout: Optional[float] = None): + """Wait for the readback to match the last commanded target position.""" + if self._target_pos is None: + return + + tout = timeout or self.default_timeout + pv_wait(self.readback_pv, self._target_pos, timeout=tout, tolerance=self.tolerance) + + def __repr__(self): + return f"<{self.__class__.__name__} '{self.name}' at {self.value}>" From a8ccc886361ecffdc9ae9a77fbc1a66465fd3e51 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 22 Jan 2026 10:14:56 +0100 Subject: [PATCH 043/144] DAQ: change samcam settings when zoom is changed (may need a seperate function?) --- src/aare/daq/daq.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index 61fcae0d..50b5fefb 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -236,6 +236,11 @@ class AareDAQ: else: self.__cfg.zoom_mode = ZoomModeEnum.User + zoom_settings = self.__cfg.zoom_settings.get_camera_settings(val) + print(f"Setting zoom {val} {zoom_settings}") + self.samcam_settings = zoom_settings + + @property def front_light(self) -> float: val = self.__devs.lamp_light From 7f1c495d401a6235c76d60ddec36d7c2a8199be7 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 22 Jan 2026 11:25:54 +0100 Subject: [PATCH 044/144] DAQ: updates to tellupdater and spreadsheetupdater from master branch. --- src/aare/daq/spreadsheetupdater.py | 99 ++++++++++++++++++------------ src/aare/daq/tellupdater.py | 93 +++++++++++++++++++++------- 2 files changed, 129 insertions(+), 63 deletions(-) diff --git a/src/aare/daq/spreadsheetupdater.py b/src/aare/daq/spreadsheetupdater.py index 380e97f1..110e0002 100644 --- a/src/aare/daq/spreadsheetupdater.py +++ b/src/aare/daq/spreadsheetupdater.py @@ -3,11 +3,11 @@ import json import websocket import time from aareDBclient.models import PuckWithTellPosition -from aare.common.models import SampleShortInfoList, SampleShortInfo, DewarAddress +from aaredaqlib.models import SampleShortInfoList, SampleShortInfo, DewarAddress from config import BeamlineConfig -from aare.common.beamline import MXBeamline +from aaredaqlib.beamline import MXBeamline -SLOT_IDENTIFIER = "X06DA" +SLOT_IDENTIFIER = "X10SA" WS_URL = f"wss://mx-db-01.psi.ch/dispatcher/protected_router/tell_runner/ws/samples-spreadsheet/{SLOT_IDENTIFIER}" # Ensure the environment variable for the shared password is set @@ -16,7 +16,7 @@ if not password: raise ValueError("The AAREDB_SHARED_PASSWORD environment variable is not set.") WS_HEADERS = [f"X-Shared-Password: {password}"] -beamline = MXBeamline.X06DA +beamline = MXBeamline.X10SA config = BeamlineConfig(bl=beamline) # Cache the current spreadsheet for change detection @@ -39,55 +39,74 @@ def on_message(ws, message): try: data = json.loads(message) - # Process the pucks data from the "samples" key in the message - if isinstance(data, dict) and "samples" in data: - pucks_data = data["samples"] - else: - pucks_data = data # fallback: might be a list directly - - # Convert dictionary data into PuckWithTellPosition Pydantic model instances + pucks_data = data["samples"] if isinstance(data, dict) and "samples" in data else data pucks = [PuckWithTellPosition(**item) for item in pucks_data] - sample_short_infos = [] + print(f"INFO: Received pucks: {[p.puck_name for p in pucks]}") + + normal_short_infos = [] + reference_short_infos = [] for p in pucks: - # Iterate through samples in the puck; `s` is a Pydantic `Sample` object for s in p.samples or []: - # Handle dewar_address dewar_address = None - if p.tell_position is not None and len(p.tell_position) == 2: - dewar_address = DewarAddress( - segment=p.tell_position[0], pos=p.tell_position[1] - ) + target_list = None - aaredb_params = s.data_collection_parameters + # Reference tool + if isinstance(p.tell_position, str) and p.tell_position.startswith("X"): + dewar_address = DewarAddress(segment="X", pos=int(p.tell_position[1:]) if len(p.tell_position) > 1 else 1) + target_list = reference_short_infos - # Build SampleShortInfo using attribute access. - sample_short_infos.append( - SampleShortInfo( - db_id=s.id, - puck_name=p.puck_name, - dewar_name="Unknown" if p.dewar_name is None else p.dewar_name, - sample_name=s.sample_name, - user=s.pgroup, - pin=s.position, # NOTE: This might need conversion if `pin` is an int and `position` is a string. - location=dewar_address, - priority=s.priority if hasattr(s, "priority") and s.priority is not None else 1.0, - comment=s.comments if hasattr(s, "comments") else None, - mount_count=s.mount_count or 0, - aaredb_params=aaredb_params - ) + # Normal puck like "A1", "B5", "C3" + elif isinstance(p.tell_position, str): + segment = p.tell_position[0] + pos = int(p.tell_position[1:]) + dewar_address = DewarAddress(segment=segment, pos=pos) + target_list = normal_short_infos + + else: + print(f"[WARN] Skipping unknown tell_position format: {p.tell_position}") + continue + + info = SampleShortInfo( + db_id=s.id, + puck_name=p.puck_name, + dewar_name=p.dewar_name or "Unknown", + sample_name=s.sample_name, + run_number=s.run_number, + user=s.pgroup, + pin=s.position, + location=dewar_address, + priority=s.priority,#getattr(s, "priority", 1.0), + comment=getattr(s, "comments", None), + mount_count=s.mount_count or 0, + aaredb_params=s.data_collection_parameters ) - # Update Redis with the new spreadsheet - ret = SampleShortInfoList(s=sample_short_infos) - config.spreadsheet = ret - print("DEBUG: Writing to redis key:", config._BeamlineConfig__bl + ":sample_spreadsheet") - print("[REDIS][INFO] Written spreadsheet to redis via .spreadsheet property") + target_list.append(info) + + # Write normal pucks to sample_spreadsheet + normal_key = f"{config._BeamlineConfig__bl}:sample_spreadsheet" + normal_list = SampleShortInfoList(s=normal_short_infos+reference_short_infos) + config._BeamlineConfig__client.set(normal_key, normal_list.json()) + print("[REDIS][INFO] Written normal spreadsheet to:", normal_key) + + # Write reference tools to reference-tools + ref_key = f"{config._BeamlineConfig__bl}:reference-tools" + if reference_short_infos: + ref_list = SampleShortInfoList(s=reference_short_infos) + config._BeamlineConfig__client.set(ref_key, ref_list.json()) + print("[REDIS][INFO] Written reference tools to:", ref_key) + else: + # Clear key if empty + try: + config._BeamlineConfig__client.delete(ref_key) + print("[REDIS][INFO] Cleared reference tools key:", ref_key) + except Exception: + pass except Exception as exc: print("[WS][ERROR] Failed to parse or convert message:", exc) - def on_error(ws, error): """ Handle WebSocket errors. diff --git a/src/aare/daq/tellupdater.py b/src/aare/daq/tellupdater.py index 0653973e..b38b5231 100644 --- a/src/aare/daq/tellupdater.py +++ b/src/aare/daq/tellupdater.py @@ -3,29 +3,30 @@ import json import websocket import sseclient import requests -import threading import time from aareDBclient.models import PuckWithTellPosition -from aare.devices.tell_client import TellClient -from aaredb import AareWrapper # Make sure the import path fits your project -from aare.common.beamline import MXBeamline +#from mxlibs3.tell_client import TellClient +#from aaredb import AareWrapper # Make sure the import path fits your project +#from aaredaqlib.beamline import MXBeamline # Configuration -SLOT_IDENTIFIER = "X06DA" -WS_URL = f"wss://mx-db-01.psi.ch/dispatcher/protected_router/wstell/ws/slot/{SLOT_IDENTIFIER}" +SLOT_IDENTIFIER = "X10SA" +#WS_URL = f"wss://mx-db-01.psi.ch/dispatcher/protected_router/wstell/ws/slot/{SLOT_IDENTIFIER}" +WS_URL = f"wss://localhost:8001/protected_router/wstell/ws/slot/{SLOT_IDENTIFIER}" WS_HEADERS = [f"X-Shared-Password: {os.getenv('AAREDB_SHARED_PASSWORD')}"] +print(WS_HEADERS) # Initialize TELL client and DB wrapper -beamline = MXBeamline.X06DA # Use your beamline enum/value -tell_client = TellClient(bl=beamline) -aare_db = AareWrapper(bl=beamline) +beamline = None #MXBeamline.X06DA # Use your beamline enum/value +tell_client = None #TellClient(bl=beamline) +aare_db = None #AareWrapper(bl=beamline) # Track current state current_pucks = [] last_pucks_sent = [] def listen_to_sse(): - print("[DEBUG] Entered listen_to_sse()") + print("[SSE][listen_to_sse] Entered listen_to_sse()") if not tell_client.url: print(f"[SSE][WARN] No TELL URL configured – SSE listener not started. (tell_client.url={tell_client.url})") return @@ -33,23 +34,43 @@ def listen_to_sse(): try: response = requests.get(sse_url, stream=True) client = sseclient.SSEClient(response) + + # Immediately fetch current detected pucks once on connect so the system starts with + # up-to-date state (instead of waiting for the first DewarContentUpdate event). + try: + print("[SSE][listen_to_sse] Initial detected pucks fetch on connect") + handle_tell_change_event() + except Exception as exc: + print(f"[SSE][listen_to_sse][WARN] Initial fetch failed: {exc}") + for event in client.events(): if event.event == "DewarContentUpdate": - print(f"event: {event.event}, data: {event.data}") + print(f"[SSE][listen_to_sse] event: {event.event}, data: {event.data}") on_sse_event(event) except requests.exceptions.RequestException as exc: - print(f"[SSE][ERROR] Failed to connect to {sse_url}: {exc}") + print(f"[SSE][listen_to_sse][ERROR] Failed to connect to {sse_url}: {exc}") def compare_and_report_change(old, new, key_func): - old_ids = set(key_func(p) for p in old) - new_ids = set(key_func(p) for p in new) - joined = new_ids - old_ids - left = old_ids - new_ids + """ + Compare two lists of pucks and return (joined, left). + Ignore reference-tools puck(s) with tell_position 'X1'. + """ + # Filter out reference-tools + old_filtered = [p for p in old if getattr(p, "tell_position", None) != "X1"] + new_filtered = [p for p in new if getattr(p, "tell_position", None) != "X1"] + + old_ids = set(key_func(p) for p in old_filtered) + new_ids = set(key_func(p) for p in new_filtered) + + joined = new_ids - old_ids # newly added + left = old_ids - new_ids # removed + return joined, left def ws_update_samples_info(pucks): """Send sample info to TELL robot.""" - tell_client.set_samples_info(pucks) + #tell_client.set_samples_info(pucks) + print(pucks) def handle_tell_change_event(): """Fetch the latest detected pucks from TELL and update the database.""" @@ -68,16 +89,42 @@ def on_sse_event(event): handle_tell_change_event() def on_message(ws, message): + #print("[WS][MESSAGE]", message) try: data = json.loads(message) print("[WS][MESSAGE]", data) - if isinstance(data, list): - new_pucks = [PuckWithTellPosition(**item) for item in data] - # Always forward the current state to TELL or your API + if not isinstance(data, list): + print("[WS][ERROR] Unknown message format") + return + + new_pucks = [PuckWithTellPosition(**item) for item in data] + + # Keep module-level current_pucks in sync + global current_pucks + + # First, try to refresh DB/TELL state to avoid overwriting a recent SSE update. + try: + # This will fetch detected pucks from TELL and update DB via your existing handler + handle_tell_change_event() + # Small wait gives SSE/DB handler a moment to settle (optional) + time.sleep(0.2) + except Exception as exc: + + print(f"[WS][WARN] handle_tell_change_event() failed: {exc}") + + # Compare lists and ignore reference puck at X1 if needed + joined, left = compare_and_report_change(current_pucks, new_pucks, lambda p: getattr(p, "puck_name", None)) + + # Update local cache + current_pucks = new_pucks + + if joined or left: + print(f"[WS][INFO] Changes detected joined={joined} left={left}") + # Send only when there is a real change ws_update_samples_info(new_pucks) print("[WS][INFO] Sent current pucks state to TELL.") else: - print("[WS][ERROR] Unknown message format") + print("[WS][INFO] No change, skipping send to TELL.") except Exception as exc: print("[WS][ERROR] Failed to parse websocket message:", exc) @@ -92,8 +139,8 @@ def on_open(ws): def main(): # Start SSE listener in a separate background thread - sse_thread = threading.Thread(target=listen_to_sse, daemon=True) - sse_thread.start() + #sse_thread = threading.Thread(target=listen_to_sse, daemon=True) + #sse_thread.start() # Main thread runs websocket client loop while True: From 029c5eb1ee6096c9788d7088d2742e83523ee24a Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 22 Jan 2026 11:42:10 +0100 Subject: [PATCH 045/144] DAQ: sam cam class WIP --- src/aare/devices/sam_cam.py | 163 ++++++++++++++++++++++++++++++++++++ 1 file changed, 163 insertions(+) create mode 100644 src/aare/devices/sam_cam.py diff --git a/src/aare/devices/sam_cam.py b/src/aare/devices/sam_cam.py new file mode 100644 index 00000000..89eeb964 --- /dev/null +++ b/src/aare/devices/sam_cam.py @@ -0,0 +1,163 @@ +from epics import PV + +from aare.common.beamline import MXBeamline + + +class SamCam: + def __init__(self, bl: MXBeamline): + BEAMLINE = bl.value.upper() + sam_cam_pv_name = f"{BEAMLINE}-SAMCAM" + self.cam_exp = PV(f"{sam_cam_pv_name}:cam1:AcquireTime") + self.cam_gain = PV(f"{sam_cam_pv_name}:cam1:Gain") + self.cam_mean = PV(f"{sam_cam_pv_name}:Stats1:MeanValue_RBV") + + def auto_exposure(self, + target_mean=128, + tolerance=5, + max_iterations=50, + timeout=30.0): + """ + Auto-expose a camera by adaptively adjusting exposure and gain. + + Args: + cam_exp_pv: PV for exposure time (0 to 0.2s) + cam_gain_pv: PV for gain (36 to 512) + cam_mean_pv: PV for image mean value + target_mean: Target mean pixel value (default 128) + tolerance: Acceptable range ±tolerance (default ±5) + max_iterations: Maximum iterations before giving up + timeout: Total timeout in seconds + + Returns: + dict with status, final_mean, iterations, exposure, gain + + Raises: + TimeoutError if target not reached within timeout + ValueError if PVs are invalid + """ + import time + + start_time = time.time() + + # Validate PVs and get initial values + try: + exp = self.cam_exp.get() + gain = self.cam_gain.get() + mean = self.cam_mean.get() + except Exception as e: + raise ValueError(f"Failed to read camera PVs: {e}") + + # Hardware limits + EXP_MIN, EXP_MAX = 0.0, 0.2 + GAIN_MIN, GAIN_MAX = 36, 512 + + # Check if we're already in target range + if abs(mean - target_mean) <= tolerance: + return { + "status": "success", + "final_mean": mean, + "iterations": 0, + "exposure": exp, + "gain": gain, + "converged": True + } + + iteration = 0 + + while iteration < max_iterations: + # Check timeout + if time.time() - start_time > timeout: + raise TimeoutError( + f"Auto-exposure failed to converge after {timeout}s. " + f"Last mean: {mean:.1f}" + ) + + iteration += 1 + error = mean - target_mean # Positive = too bright, negative = too dark + + # Calculate adaptive step size based on error magnitude + # Larger errors → larger steps for faster convergence + error_magnitude = abs(error) + + if error_magnitude > 30: # Large error: aggressive steps + exp_step = 0.01 + gain_step = 40 + elif error_magnitude > 15: # Medium error: moderate steps + exp_step = 0.005 + gain_step = 20 + else: # Small error: fine adjustments + exp_step = 0.001 + gain_step = 5 + + # Strategy: Prefer adjusting gain first (faster response), then exposure + # This prioritizes the parameter that responds more quickly to changes + + if error > tolerance: # Too bright: reduce signal + # Try to reduce gain first (has faster effect on some cameras) + if gain > GAIN_MIN: + gain = max(GAIN_MIN, gain - gain_step) + self.cam_gain.put(gain) + elif exp > EXP_MIN: + exp = max(EXP_MIN, exp - exp_step) + self.cam_exp.put(exp) + else: + # Already at minimum - can't go darker + return { + "status": "warning_min_limits", + "final_mean": mean, + "iterations": iteration, + "exposure": exp, + "gain": gain, + "converged": False, + "message": "Reached minimum exposure/gain, cannot reduce further" + } + + elif error < -tolerance: # Too dark: increase signal + # Try to increase exposure first (more precise control) + if exp < EXP_MAX: + exp = min(EXP_MAX, exp + exp_step) + self.cam_exp.put(exp) + elif gain < GAIN_MAX: + gain = min(GAIN_MAX, gain + gain_step) + self.cam_gain.put(gain) + else: + # Already at maximum - can't go brighter + return { + "status": "warning_max_limits", + "final_mean": mean, + "iterations": iteration, + "exposure": exp, + "gain": gain, + "converged": False, + "message": "Reached maximum exposure/gain, cannot increase further" + } + + # Small settling time for camera to stabilize + time.sleep(0.1) + mean = self.cam_mean.get() + + # Check convergence + if abs(mean - target_mean) <= tolerance: + return { + "status": "success", + "final_mean": mean, + "iterations": iteration, + "exposure": exp, + "gain": gain, + "converged": True + } + + # Max iterations exceeded + return { + "status": "warning_max_iterations", + "final_mean": mean, + "iterations": iteration, + "exposure": exp, + "gain": gain, + "converged": False, + "message": f"Did not converge after {max_iterations} iterations. Final mean: {mean:.1f}" + } + +if __name__ == "__main__": + from aare.common.beamline import mx_beamline + beamline = mx_beamline() From 4fd81855a5af058ae68dbc1e8f60dec2396ea6b3 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 22 Jan 2026 11:50:23 +0100 Subject: [PATCH 046/144] DAQ: updates to spreadhseet and tell updater --- src/aare/daq/spreadsheetupdater.py | 4 ++-- src/aare/daq/tellupdater.py | 19 +++++++++++-------- 2 files changed, 13 insertions(+), 10 deletions(-) diff --git a/src/aare/daq/spreadsheetupdater.py b/src/aare/daq/spreadsheetupdater.py index 110e0002..79e98f5e 100644 --- a/src/aare/daq/spreadsheetupdater.py +++ b/src/aare/daq/spreadsheetupdater.py @@ -3,9 +3,9 @@ import json import websocket import time from aareDBclient.models import PuckWithTellPosition -from aaredaqlib.models import SampleShortInfoList, SampleShortInfo, DewarAddress +from aare.common.models import SampleShortInfoList, SampleShortInfo, DewarAddress from config import BeamlineConfig -from aaredaqlib.beamline import MXBeamline +from aare.common.beamline import MXBeamline SLOT_IDENTIFIER = "X10SA" WS_URL = f"wss://mx-db-01.psi.ch/dispatcher/protected_router/tell_runner/ws/samples-spreadsheet/{SLOT_IDENTIFIER}" diff --git a/src/aare/daq/tellupdater.py b/src/aare/daq/tellupdater.py index b38b5231..a32678a8 100644 --- a/src/aare/daq/tellupdater.py +++ b/src/aare/daq/tellupdater.py @@ -5,21 +5,24 @@ import sseclient import requests import time from aareDBclient.models import PuckWithTellPosition -#from mxlibs3.tell_client import TellClient -#from aaredb import AareWrapper # Make sure the import path fits your project -#from aaredaqlib.beamline import MXBeamline + +#from aare.daq.spreadsheetupdater import SLOT_IDENTIFIER +from aare.devices.tell_client import TellClient +from aaredb import AareWrapper # Make sure the import path fits your project +from aare.common.beamline import MXBeamline, mx_beamline # Configuration +#SLOT_IDENTIFIER = mx_beamline().value.upper() SLOT_IDENTIFIER = "X10SA" -#WS_URL = f"wss://mx-db-01.psi.ch/dispatcher/protected_router/wstell/ws/slot/{SLOT_IDENTIFIER}" -WS_URL = f"wss://localhost:8001/protected_router/wstell/ws/slot/{SLOT_IDENTIFIER}" +WS_URL = f"wss://mx-db-01.psi.ch/dispatcher/protected_router/wstell/ws/slot/{SLOT_IDENTIFIER}" +#WS_URL = f"wss://localhost:8001/protected_router/wstell/ws/slot/{SLOT_IDENTIFIER}" WS_HEADERS = [f"X-Shared-Password: {os.getenv('AAREDB_SHARED_PASSWORD')}"] print(WS_HEADERS) # Initialize TELL client and DB wrapper -beamline = None #MXBeamline.X06DA # Use your beamline enum/value -tell_client = None #TellClient(bl=beamline) -aare_db = None #AareWrapper(bl=beamline) +beamline = mx_beamline() # Use your beamline enum/value +tell_client = TellClient(bl=beamline) +aare_db = AareWrapper(bl=beamline) # Track current state current_pucks = [] From aab3eb2cfef182ff77e0b1af84ffd6c84f9c8670 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 22 Jan 2026 12:21:10 +0100 Subject: [PATCH 047/144] DAQ: updates to spreadhseet and tell updater --- src/aare/daq/spreadsheetupdater.py | 4 ++-- src/aare/daq/tellupdater.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/src/aare/daq/spreadsheetupdater.py b/src/aare/daq/spreadsheetupdater.py index 79e98f5e..e8abdf5b 100644 --- a/src/aare/daq/spreadsheetupdater.py +++ b/src/aare/daq/spreadsheetupdater.py @@ -5,7 +5,7 @@ import time from aareDBclient.models import PuckWithTellPosition from aare.common.models import SampleShortInfoList, SampleShortInfo, DewarAddress from config import BeamlineConfig -from aare.common.beamline import MXBeamline +from aare.common.beamline import MXBeamline, mx_beamline SLOT_IDENTIFIER = "X10SA" WS_URL = f"wss://mx-db-01.psi.ch/dispatcher/protected_router/tell_runner/ws/samples-spreadsheet/{SLOT_IDENTIFIER}" @@ -16,7 +16,7 @@ if not password: raise ValueError("The AAREDB_SHARED_PASSWORD environment variable is not set.") WS_HEADERS = [f"X-Shared-Password: {password}"] -beamline = MXBeamline.X10SA +beamline = mx_beamline().value() config = BeamlineConfig(bl=beamline) # Cache the current spreadsheet for change detection diff --git a/src/aare/daq/tellupdater.py b/src/aare/daq/tellupdater.py index a32678a8..cf9239c6 100644 --- a/src/aare/daq/tellupdater.py +++ b/src/aare/daq/tellupdater.py @@ -20,7 +20,7 @@ WS_HEADERS = [f"X-Shared-Password: {os.getenv('AAREDB_SHARED_PASSWORD')}"] print(WS_HEADERS) # Initialize TELL client and DB wrapper -beamline = mx_beamline() # Use your beamline enum/value +beamline = mx_beamline().value() # Use your beamline enum/value tell_client = TellClient(bl=beamline) aare_db = AareWrapper(bl=beamline) From e9ff5294cc8fac834fc3b3783877608b54767e0a Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 22 Jan 2026 12:28:02 +0100 Subject: [PATCH 048/144] DAQ: updates to spreadhseet and tell updater --- src/aare/daq/spreadsheetupdater.py | 2 +- src/aare/daq/tellupdater.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/src/aare/daq/spreadsheetupdater.py b/src/aare/daq/spreadsheetupdater.py index e8abdf5b..f0872d56 100644 --- a/src/aare/daq/spreadsheetupdater.py +++ b/src/aare/daq/spreadsheetupdater.py @@ -16,7 +16,7 @@ if not password: raise ValueError("The AAREDB_SHARED_PASSWORD environment variable is not set.") WS_HEADERS = [f"X-Shared-Password: {password}"] -beamline = mx_beamline().value() +beamline = "X10SA" #mx_beamline().value() config = BeamlineConfig(bl=beamline) # Cache the current spreadsheet for change detection diff --git a/src/aare/daq/tellupdater.py b/src/aare/daq/tellupdater.py index cf9239c6..1001039c 100644 --- a/src/aare/daq/tellupdater.py +++ b/src/aare/daq/tellupdater.py @@ -20,7 +20,7 @@ WS_HEADERS = [f"X-Shared-Password: {os.getenv('AAREDB_SHARED_PASSWORD')}"] print(WS_HEADERS) # Initialize TELL client and DB wrapper -beamline = mx_beamline().value() # Use your beamline enum/value +beamline = "X10SA" #mx_beamline().value() # Use your beamline enum/value tell_client = TellClient(bl=beamline) aare_db = AareWrapper(bl=beamline) From ab54899d9c86c4489242134c2e0a600bc9980211 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 22 Jan 2026 12:29:58 +0100 Subject: [PATCH 049/144] DAQ: updates to spreadhseet and tell updater --- src/aare/daq/tellupdater.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aare/daq/tellupdater.py b/src/aare/daq/tellupdater.py index 1001039c..9ca5ba39 100644 --- a/src/aare/daq/tellupdater.py +++ b/src/aare/daq/tellupdater.py @@ -21,7 +21,7 @@ print(WS_HEADERS) # Initialize TELL client and DB wrapper beamline = "X10SA" #mx_beamline().value() # Use your beamline enum/value -tell_client = TellClient(bl=beamline) +tell_client = None #TellClient(bl=beamline) aare_db = AareWrapper(bl=beamline) # Track current state From 808c25eecbef365d95fdf8b9395c7c8036262ec0 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 23 Jan 2026 10:18:10 +0100 Subject: [PATCH 050/144] DAQ: updates to spreadhseet and tell updater to use beamline enum/value --- src/aare/daq/spreadsheetupdater.py | 6 +++--- src/aare/daq/tellupdater.py | 8 ++++---- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/src/aare/daq/spreadsheetupdater.py b/src/aare/daq/spreadsheetupdater.py index f0872d56..08842294 100644 --- a/src/aare/daq/spreadsheetupdater.py +++ b/src/aare/daq/spreadsheetupdater.py @@ -7,7 +7,8 @@ from aare.common.models import SampleShortInfoList, SampleShortInfo, DewarAddres from config import BeamlineConfig from aare.common.beamline import MXBeamline, mx_beamline -SLOT_IDENTIFIER = "X10SA" +beamline = mx_beamline() +SLOT_IDENTIFIER = beamline.value.upper() WS_URL = f"wss://mx-db-01.psi.ch/dispatcher/protected_router/tell_runner/ws/samples-spreadsheet/{SLOT_IDENTIFIER}" # Ensure the environment variable for the shared password is set @@ -16,9 +17,8 @@ if not password: raise ValueError("The AAREDB_SHARED_PASSWORD environment variable is not set.") WS_HEADERS = [f"X-Shared-Password: {password}"] -beamline = "X10SA" #mx_beamline().value() -config = BeamlineConfig(bl=beamline) +config = BeamlineConfig(bl=beamline) # Cache the current spreadsheet for change detection current_spreadsheet = None diff --git a/src/aare/daq/tellupdater.py b/src/aare/daq/tellupdater.py index 9ca5ba39..6e6b7baa 100644 --- a/src/aare/daq/tellupdater.py +++ b/src/aare/daq/tellupdater.py @@ -12,16 +12,16 @@ from aaredb import AareWrapper # Make sure the import path fits your project from aare.common.beamline import MXBeamline, mx_beamline # Configuration -#SLOT_IDENTIFIER = mx_beamline().value.upper() -SLOT_IDENTIFIER = "X10SA" +beamline = mx_beamline() +SLOT_IDENTIFIER = beamline.value.upper() WS_URL = f"wss://mx-db-01.psi.ch/dispatcher/protected_router/wstell/ws/slot/{SLOT_IDENTIFIER}" #WS_URL = f"wss://localhost:8001/protected_router/wstell/ws/slot/{SLOT_IDENTIFIER}" WS_HEADERS = [f"X-Shared-Password: {os.getenv('AAREDB_SHARED_PASSWORD')}"] print(WS_HEADERS) # Initialize TELL client and DB wrapper -beamline = "X10SA" #mx_beamline().value() # Use your beamline enum/value -tell_client = None #TellClient(bl=beamline) + # Use your beamline enum/value +tell_client = TellClient(bl=beamline) aare_db = AareWrapper(bl=beamline) # Track current state From 71de06b3d160c1b9edfe414f1fee995ddc685510 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 29 Jan 2026 13:51:56 +0100 Subject: [PATCH 051/144] Tell: added Tell client for X10SA, corrected print statements and added check for removed status. --- src/aare/devices/tell_client.py | 25 +++++++++++++++++-------- 1 file changed, 17 insertions(+), 8 deletions(-) diff --git a/src/aare/devices/tell_client.py b/src/aare/devices/tell_client.py index 7abfeec2..e047fc37 100755 --- a/src/aare/devices/tell_client.py +++ b/src/aare/devices/tell_client.py @@ -56,11 +56,15 @@ POSITION_HEATER = "pHeatB" class TellClient: def __init__(self, bl: MXBeamline): self.__url = None + beamline = bl.value.lower() if bl == MXBeamline.SIMULATED: self.__simulation = True elif bl == MXBeamline.X06DA: self.__simulation = False - self.__url = "http://x06da-tell.psi.ch:22222" + self.__url = f"http://{beamline}-tell.psi.ch:22222" + elif bl == MXBeamline.X10SA: + self.__simulation = False + self.__url = f"http://PC17488:22222" if self.__simulation: print("TELL P-Shell in SIMULATION mode") @@ -279,8 +283,13 @@ class TellClient: def check_command_ok(self, timeout: float = 360.0, msg: str = ""): self.wait_mount_complete(timeout) result = self.get_result(self._last_cmd_id) - if "completed" != result["status"]: - raise TellMountFailedException(f"{msg} {result}") + logger.debug(f"{msg} {result}") + status = result["status"] + if "completed" != status: + if "removed" != status: + raise TellMountFailedException(f"{msg} {result}") + else: + return f"{msg} {result}" def estimate_mounting_time(self, segment) -> int: try: @@ -321,12 +330,12 @@ class TellClient: if self.__simulation: self._last_cmd_id = random.randint(1000, 9999) - print( + logger.info( f"simulated mount({segment}, {puck}, {sample}) -> {self._last_cmd_id}" ) self._simulated_mounted_sample = f"{segment}{puck}{sample}" if random.random() < 0.1: - print("simulated failed mount") + logger.info("simulated failed mount") raise TellMountFailedException(f"mount failed for {segment}{puck}") return self._last_cmd_id @@ -347,7 +356,7 @@ class TellClient: if event is None or event == "state": logger.info(f"event: {event} occurred with value: {value}, checking command completed okay") self.check_command_ok( - timeout=wait_timeout, msg=f"Mount failed for {segment}{puck}-{sample}: " + timeout=wait_timeout, msg=f"Mount {segment}{puck}-{sample}: " ) return value elif event == "gripper_detection": @@ -361,12 +370,12 @@ class TellClient: logger.info(f"Unexpected event: {event} occurred with value: {value}") logger.info("Checking command completed okay anyway") self.check_command_ok( - timeout=wait_timeout, msg=f"Mount failed for {segment}{puck}-{sample}: " + timeout=wait_timeout, msg=f"Mount {segment}{puck}-{sample}: " ) elif wait and segment == "X": logger.info("Loading an auxiliary puck") self.check_command_ok( - timeout=wait_timeout, msg=f"Mount failed for {segment}{puck}-{sample}: " + timeout=wait_timeout, msg=f"Mount {segment}{puck}-{sample}: " ) logger.info("post waiting") return None From c6f22836b2d1a82efbbf80c5f26a884f7411b842 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 29 Jan 2026 13:52:38 +0100 Subject: [PATCH 052/144] GUI: added cameras for X10SA, set to change in main_window from default values in gui.py --- src/aare/gui/gui.py | 17 ++++++++++++++++- src/aare/gui/main_window.py | 24 +++++++++++++++--------- 2 files changed, 31 insertions(+), 10 deletions(-) diff --git a/src/aare/gui/gui.py b/src/aare/gui/gui.py index 071bfe9a..fb541348 100644 --- a/src/aare/gui/gui.py +++ b/src/aare/gui/gui.py @@ -32,18 +32,30 @@ if __name__ == "__main__": default_url = "http://mx-x06da-queue-01.psi.ch:5210" default_zmq_addr = "tcp://x06da-pserv-01:9089" #129.129.110.12:9089 default_pred_zmq_addr = "tcp://mx-ml:9091" + default_beamline_cam_addr = "x06da-axis-1.psi.ch" + default_gonio_cam_addr = "axis-accc8ed2972e.psi.ch" + default_gonio_camera_id = 3 case MXBeamline.X10SA: default_url = "http://127.0.0.1:5210" default_zmq_addr = "tcp://x10sa-pserv-01:9089" default_pred_zmq_addr = "" + default_beamline_cam_addr = "axis-accc8eb02488.psi.ch" + default_gonio_cam_addr = "axis-accc8ea5e463.psi.ch" + default_gonio_camera_id = 1 case MXBeamline.X06SA: default_url = "http://mx-x06sa-queue-01.psi.ch:5210" default_zmq_addr = "" default_pred_zmq_addr = "" + default_beamline_cam_addr = "" + default_gonio_cam_addr = "" + default_gonio_camera_id = 1 case _: default_url = "" default_zmq_addr = "" default_pred_zmq_addr = "" + default_beamline_cam_addr = "" + default_gonio_cam_addr = "" + default_gonio_camera_id = 1 # Add custom options as needed urlOption = QCommandLineOption(["u", "aaredaq-url"], @@ -107,7 +119,10 @@ if __name__ == "__main__": token=token, default_image=default_image, zmq_addr=zmq_addr, - pred_zmq_addr=pred_zmq_addr) + pred_zmq_addr=pred_zmq_addr, + beamline_cam_addr = default_beamline_cam_addr, + gonio_cam_addr = default_gonio_cam_addr, + gonio_cam_id = default_gonio_camera_id) win.show() sys.exit(app.exec()) except Exception as e: diff --git a/src/aare/gui/main_window.py b/src/aare/gui/main_window.py index 4a044cd8..7faf582e 100644 --- a/src/aare/gui/main_window.py +++ b/src/aare/gui/main_window.py @@ -47,7 +47,11 @@ class MainWindow(QMainWindow): token: str, default_image: str | None, zmq_addr: str | None, - pred_zmq_addr: str | None): + pred_zmq_addr: str | None, + beamline_cam_addr: str | None, + gonio_cam_addr: str | None, + gonio_cam_id: int | None + ): super().__init__() self.__base_url = base_url self.__token = token @@ -120,18 +124,20 @@ class MainWindow(QMainWindow): self.beamline_view_layout.addWidget(self.beamline_view_2_combined) self.beamline_view = VideoGraphicsView() - self.beamline_camera_thread = VideoThread(ip="x06da-axis-1.psi.ch") - self.beamline_camera_thread.frame_ready.connect(self.beamline_view.update_frame) - self.beamline_camera_thread.frame_ready.connect(self.beamline_view_2_combined.update_frame) - self.beamline_camera_thread.start() + if beamline_cam_addr: + self.beamline_camera_thread = VideoThread(ip=beamline_cam_addr) + self.beamline_camera_thread.frame_ready.connect(self.beamline_view.update_frame) + self.beamline_camera_thread.frame_ready.connect(self.beamline_view_2_combined.update_frame) + self.beamline_camera_thread.start() self.beamline_view_layout.addWidget(self.beamline_view) self.gonio_view = VideoGraphicsView() #TODO add option to change cameras for gonio_camera_thread - self.gonio_camera_thread = VideoThread(ip="axis-accc8ed2972e.psi.ch", camera=3) - self.gonio_camera_thread.frame_ready.connect(self.gonio_view.update_frame) - self.gonio_camera_thread.frame_ready.connect(self.beamline_view_1_combined.update_frame) - self.gonio_camera_thread.start() + if gonio_cam_addr and gonio_cam_id: + self.gonio_camera_thread = VideoThread(ip=gonio_cam_addr, camera=gonio_cam_id) + self.gonio_camera_thread.frame_ready.connect(self.gonio_view.update_frame) + self.gonio_camera_thread.frame_ready.connect(self.beamline_view_1_combined.update_frame) + self.gonio_camera_thread.start() self.beamline_view_layout.addWidget(self.gonio_view) self.video_tab.addTab(self.sample_camera, "Sample camera") From 6d6678f78afd8088d64b6420f6767c08788059a7 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 29 Jan 2026 14:31:32 +0100 Subject: [PATCH 053/144] GUI: fixed bug where saved_button was connected to goto_button_pressed instead and goto_button was not connected. --- src/aare/gui/panels/abr_tweak_panel.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aare/gui/panels/abr_tweak_panel.py b/src/aare/gui/panels/abr_tweak_panel.py index bc47b33f..8741f0dd 100644 --- a/src/aare/gui/panels/abr_tweak_panel.py +++ b/src/aare/gui/panels/abr_tweak_panel.py @@ -103,7 +103,7 @@ class AbrTweakWidget(QWidget): goto_button = QPushButton("Go to meas.") grid_layout.addWidget(goto_button, 4, 0, 1, 3) - save_button.pressed.connect(self.goto_button_pressed) + goto_button.pressed.connect(self.goto_button_pressed) @Slot() def goto_button_pressed(self): From 4a552c0dcd0b5583389bb20d42d7166d5da8ef10 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 29 Jan 2026 14:32:16 +0100 Subject: [PATCH 054/144] Sample Camera - added PVs to get expo and gain readbacks, implemented a set_auto_once button --- src/aare/devices/area_detector.py | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/src/aare/devices/area_detector.py b/src/aare/devices/area_detector.py index 873980dc..32dbea93 100644 --- a/src/aare/devices/area_detector.py +++ b/src/aare/devices/area_detector.py @@ -12,10 +12,15 @@ class epicsAD(object): self.acquire = epics.PV(prefix + cam + "Acquire") self.color = epics.PV(prefix + cam + "ColorMode") self.gain_mode = epics.PV(prefix + cam + "GainAuto") + self.gain_mode_rbv = epics.PV(prefix + cam + "GainAuto_RBV") # 0 - manual, GainMode, 2 - auto GainAuto self.expo_mode = epics.PV(prefix + cam + "ExposureAuto") - # 0 - manual, ExposureMode, 2 - auto ExposureAutoself.gain = epics.PV(prefix + cam + "Gain") + self.expo_mode_rbv = epics.PV(prefix + cam + "ExposureAuto_RBV") + # 0 - manual, ExposureMode, 1 - once 2 - auto ExposureAuto + self.gain = epics.PV(prefix + cam + "Gain") + self.gain_rbv = epics.PV(prefix + cam + "Gain_RBV") self.expo = epics.PV(prefix + cam + "AcquireTime") + self.expo_rbv = epics.PV(prefix + cam + "AcquireTime_RBV") self.ndim = epics.PV(prefix + image + "NDimensions_RBV") self.dim0 = epics.PV(prefix + image + "ArraySize0_RBV") @@ -134,6 +139,10 @@ class epicsAD(object): self.expo_mode.put(2) # automatic exposure control self.acquire.put(1) + def set_auto_once(self): + self.expo_mode.put(1) + self.gain_mode.put(1) + def set_manual(self): self.acquire.put(0, wait=True) self.gain_mode.put(0) # automatic gain control From a9a6f7100565d5122d40a30c5d02155d8db7ea30 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 29 Jan 2026 16:43:55 +0100 Subject: [PATCH 055/144] DAQ: attempt at camera auto exposure, however there are issues when the backlight is not in. The front light may not be bright enough or set values may need to be used --- src/aare/daq/daq.py | 56 ++++++++++++++++++++++++++++++++++----------- 1 file changed, 43 insertions(+), 13 deletions(-) diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index 50b5fefb..48cebba1 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -14,7 +14,7 @@ import aare.common.face_detection as fd from aare.daq import workflows from aare.daq.aaredb import AareWrapper from aare.common.autofocus_tools import focus_measure_edges -from aare.daq.config import BeamlineConfig +from aare.daq.config import BeamlineConfig, ABR_POS_MOUNT, ABR_OMEGA_MOUNT from aare.daq.config import BeamlineStateEnum from aare.daq.devices import BeamlineDevices from aare.daq.mlbox import MlBox @@ -32,6 +32,7 @@ from aare.common.models import ( from aare.common.raster_grid import RasterGridRequest, CompletedRasterGrid, CompletedRasterGridElem from aare.common.rotation_scan import RotationScanRequest, CompletedRotationScan from aare.common.sample_geometry import SampleGeometryModel +from aare.devices.area_detector import AutoEnum from aare.devices.jfjoch import JFJochWrapper logger = setup_logger("aareDAQ") @@ -229,17 +230,10 @@ class AareDAQ: @zoom.setter def zoom(self, val: float): self.__saved_box = None + self.__devs.samcam_auto(AutoEnum.AUTO) self.__devs.zoom = val - - if self.__cfg.state == BeamlineStateEnum.BeamLocation: - self.__cfg.zoom_mode = ZoomModeEnum.BeamLocation - else: - self.__cfg.zoom_mode = ZoomModeEnum.User - - zoom_settings = self.__cfg.zoom_settings.get_camera_settings(val) - print(f"Setting zoom {val} {zoom_settings}") - self.samcam_settings = zoom_settings - + time.sleep(0.2) + self.__devs.samcam_auto(AutoEnum.ONCE) @property def front_light(self) -> float: @@ -301,14 +295,18 @@ class AareDAQ: def save_abr_meas_pos(self): self.__cfg.set_busy(BeamlineStateEnum.SampleAlignment) + print('Set busy in save_abr_meas_pos') try: + print('Set abr measure pos in save_abr_meas_pos') self.__cfg.abr_meas_pos = self.__devs.aerotech_pos + print('busy should be set to false now') self.__cfg.state_busy = False except: self.__cfg.state_busy = False raise def goto_abr_meas_pos(self): + print('why are we here') self.__cfg.set_busy(BeamlineStateEnum.SampleAlignment) try: self.__devs.aerotech_pos = self.__cfg.abr_meas_pos @@ -338,11 +336,43 @@ class AareDAQ: pass def __mount(self, target: SampleShortInfo | None): - pass + self.__devs.smargon_move_home() + self.__devs.aerotech_pos = ABR_POS_MOUNT + self.__devs.aerotech_omega = ABR_OMEGA_MOUNT + #collimator should be down!!! + self.__devs.tell.check_enable_motion() + self.__devs.tell.wait_mount_complete() + #self.__devs.tell.set_in_mount_position(True) + if target is None: + self.__devs.tell.unmount(wait=True, timeout=60.0) + else: + value = self.__devs.tell.mount(address=target.tell_address(), force=True, auto_unmount=True, read_dm=False, + wait=True, timeout=360.0) + logger.info(f"Mount result: {value}") + self.__cfg.current_sample = target + #self.__mount_failure_handler(value) @sample.setter def sample(self, target: SampleShortInfo | None): - pass + self.__cfg.try_set_busy(timeout=360) + curr_sample_is_manual=False + try: + curr_sample = self.__cfg.current_sample + workflows.common_2rse(devs=self.__devs, cfg=self.__cfg) + #if curr_sample is not None and curr_sample.location is None: + # self.__cfg.current_sample = None + # curr_sample_is_manual = True + #if target is not None or not curr_sample_is_manual: + logger.debug(target) + self.__mount(target) + logger.info(f"Sample mounted: {target}") + self.__aare.sample_mounted(target) + except Exception as e: + self.__cfg.state_busy = False + logger.debug(f"Failed to mount sample: {e}") + raise e + workflows.rse2sa(devs=self.__devs, cfg=self.__cfg) + self.__cfg.state_busy = False @property def camera_image(self) -> np.ndarray | None: From 774f86765c4f4cd821231b497361a0eb2d58508b Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 29 Jan 2026 16:44:30 +0100 Subject: [PATCH 056/144] BEC: added in additooanl functionality and a potential way to do states mimicking workflows - would move to workflows.py --- src/aare/devices/bec_worker.py | 38 ++++++++++++++++++++++++++++++---- 1 file changed, 34 insertions(+), 4 deletions(-) diff --git a/src/aare/devices/bec_worker.py b/src/aare/devices/bec_worker.py index ee98dff9..ed88ac29 100644 --- a/src/aare/devices/bec_worker.py +++ b/src/aare/devices/bec_worker.py @@ -18,14 +18,14 @@ class BECClientWorker: self.client = BECClient(config=service_config, name=name) self.client.start() #self.client.config.update_session_with_file("/sls/x10sa/config/bec/production/bec/bec_lib/bec_lib/config_helper.py") - self.devs = self.client.device_manager.devices + self.dev = self.client.device_manager.devices self.scans = self.client.scans self.macros = self.client.macros self.load_user_macros() self.helper = FrontendProcedureHelper(self.client.connector) def run_macro(self, macro_name:str, *args, queue:str = "default", **kwargs): - return self.client.proc.run_macro(macro_name, *args, "iln", queue=queue) + return self.client.proc.run_macro(macro_name, *args, queue=queue) def run_macro_blocked(self, macro_name:str, *args, queue:str = "default", **kwargs): try: @@ -39,7 +39,7 @@ class BECClientWorker: return None def show_all_devices(self): - return self.devs.show_all + return self.dev.show_all def list_all_macros(self): return self.macros.list_user_macros() @@ -50,13 +50,43 @@ class BECClientWorker: def shutdown_client(self): self.client.shutdown() + def common2rse(self): + status = self.scans.umv(dev.blight_pos, 0, relative=False) + try: + SE.blpos.checkpos() + except NotImplemented as e: + print(f"Backlight position not checked: {e}") + print(f"Moved backlight to position {self.dev.blight_pos.read()} with status {status.status}") + self.scans.umv(dev.bs_z, 72.0, dev.coll_y, 20.0, dev.scin_y, 20.0, dev.cryo_pos, 1, relative=False) + self.scans.umv(dev.bs_pos, 0, relative=False) + print(f"Moved everything else to park position with status {status.status}") + + if self.dev.bs_z.read().value != 72.0:# or self.dev.coll_y.read() != 20.0 or self.dev.scin_y.read() != 20.0: + print(f"is bs_z correct: {self.dev.bs_z.read().value != 72.0}")# is coll_y correct {self.dev.coll_y.read() != 20.0}, is scin_y correct {self.dev.scin_y.read() != 20.0}") + raise Exception("Error: something went wrong") + + def rse2sa(self): + self.scans.umv(self.dev.blight_pos, 1, relative=False) + self.scans.umv(self.dev.bs_pos, 1, relative = False) + + # def a2e_runner(self, a, *hkl): + # return a2e(a, *hkl) + if __name__ == "__main__": + import time service_config = ServiceConfig(redis={"host": "x10sa-bec-001.psi.ch", "port": 6379}) client = BECClientWorker(service_config, "default") client.show_all_devices() client.list_all_macros() try: - client.run_macro_blocked("a2e", 160, "iln", queue="test") + #a=client.a2e_runner(160, "iln") + #print(a) + #b=client.run_macro_blocked("a2e", 160, "iln", queue="test") + #b = client.run_macro_blocked("mono_pitch_scan", False, queue="test") + client.rse2sa() + time.sleep(10.0) + client.common2rse() + #print(b) except Exception as e: print(f"Error: {e}") client.shutdown_client() From 6db8387dc91ca243cbfccd7a00d2238220e8c293 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 29 Jan 2026 16:45:19 +0100 Subject: [PATCH 057/144] DAQ: added back PVs for beamstop, scintilator, collimator, front and back light and cryojet position. PV handling may change. --- src/aare/daq/devices.py | 103 +++++++++++++++++++++++++--------------- 1 file changed, 65 insertions(+), 38 deletions(-) diff --git a/src/aare/daq/devices.py b/src/aare/daq/devices.py index 7c9ccda8..7fd1f071 100644 --- a/src/aare/daq/devices.py +++ b/src/aare/daq/devices.py @@ -16,33 +16,52 @@ from aare.common.beamline import MXBeamline from aare.common.coordinate import Coordinate, SmargonCoordinate from aare.common.models import SampleCameraSettings, StagePositionEnum from aare.devices import smargon, aerotech -from aare.devices.area_detector import epicsAD +from aare.devices.area_detector import epicsAD, AutoEnum from aare.devices.enum_pv import EnumPv from aare.devices.my_motor import MyMotor -class BacklightPositionEnum(Enum): - PARK = 0 - MEASURE = 1 +from aare.devices.set_get_pv import SetGetPV +from aare.devices.tell_client import TellClient class BeamlineDevices: def __init__(self, beamline: MXBeamline): BEAMLINE = beamline.value.upper() - + self.tell = TellClient(beamline) + self.__aerotech = aerotech.AerotechControllerEpics(beamline) self.__smargon = smargon.Smargon(beamline) + self.__ring_current_pv = PV(f"ARS07-DPCT-0100:CURR") + self.__dtz = MyMotor(f"{BEAMLINE}-ES-DET:TRZ") + self.__sample_cam = epicsAD(f"{BEAMLINE}-SAMCAM:") - self.__back_light_pos = EnumPv(pv_name = f"{BEAMLINE}-ES-BL:POS-SET", - rbv_name=f"{BEAMLINE}-ES-BL:POS-GET", - timeout=10.0) + self.__front_light = PV(f"{BEAMLINE}-ES-FL:SET") + self.__back_light = PV(f"{BEAMLINE}-ES-BL:SET") + + self.__back_light_pos = EnumPv(pv_name = f"{BEAMLINE}-ES-BL:POS-SET", + rbv_name = f"{BEAMLINE}-ES-BL:POS-GET", + timeout = 10.0) + + self.__collimator_pos = PV(f"{BEAMLINE}-ES-COL:TRY") # HOW TO HANDLE!!! + + self.__scintillator_pos = PV(f"{BEAMLINE}-ES-SCL:TRY") # how to handle!!! + + self.__beamstop_pos = EnumPv(pv_name = f"{BEAMLINE}-ES-BS:POS-SET", + rbv_name = f"{BEAMLINE}-ES-BS:POS-GET", + timeout = 10.0) + + + + self.__zoom = SetGetPV(name = f"zoom", + setpv = f"{BEAMLINE}-ES-SAMCAM:ZOOM.VAL", + getpv = f"{BEAMLINE}-ES-SAMCAM:ZOOM.RBV") + + self.__cryojet_pos = EnumPv(pv_name = f"{BEAMLINE}-ES-CJ:POS-SET", + rbv_name = f"{BEAMLINE}-ES-CJ:POS-GET", + timeout = 10.0) - self.__back_light_bright= PV(f"{BEAMLINE}-ES-BL:SET") - self.__front_light_bright = PV(f"{BEAMLINE}-ES-FL:SET") - self.__zoom_set = PV(f"{BEAMLINE}-ES-SAMCAM:ZOOM.VAL") - self.__zoom_get = PV(f"{BEAMLINE}-ES-SAMCAM:ZOOM.RBV") - self.__aerotech = aerotech.AerotechControllerEpics(beamline) # Transmission @property @@ -58,62 +77,62 @@ class BeamlineDevices: # Lamp light @property def lamp_light(self) -> float: - return self.__front_light_bright.get() + return self.__front_light.get() @lamp_light.setter def lamp_light(self, v: float): self.set_front_light(v, wait=False) def set_front_light(self, v: float, /, wait: bool = True): - self.__front_light_bright.put(v, wait=wait) + self.__front_light.put(v, wait=wait) # Back light @property def back_light(self) -> float: - return self.__back_light_bright.get() + return self.__back_light.get() @back_light.setter def back_light(self, v: float): self.set_back_light(v, wait=False) def set_back_light(self, v: float, /, wait: bool = True): - self.__back_light_bright.put(v, wait=wait) + self.__back_light.put(v, wait=wait) # Zoom @property def zoom(self) -> float: - return self.__zoom_get.get() + return self.__zoom.value @zoom.setter def zoom(self, value: float): - self.set_zoom(value, wait=False) + self.set_zoom(value, wait=True) def set_zoom(self, value: float, /, wait: bool = True): - self.__zoom_set.put(value, wait=wait) + self.__zoom.put(value, wait=wait) # Collimator @property - def collimator(self) -> StagePositionEnum: - return StagePositionEnum.DOWN + def collimator(self) -> float: + return self.__collimator_pos.get() @collimator.setter - def collimator(self, value: StagePositionEnum): + def collimator(self, value: float): self.set_collimator(value, wait=True) - def set_collimator(self, value: StagePositionEnum, /, wait: bool = True): - pass + def set_collimator(self, value: float, /, wait: bool = True): + self.__collimator_pos.put(value, wait=wait) # Scintillator @property - def scintillator(self) -> StagePositionEnum: - return StagePositionEnum.DOWN + def scintillator(self) -> float: + return self.__scintillator_pos.get() @scintillator.setter - def scintillator(self, value: StagePositionEnum): + def scintillator(self, value: float): self.set_scintillator(value, wait=True) - def set_scintillator(self, value: StagePositionEnum, /, wait: bool = True): - pass + def set_scintillator(self, value: float, /, wait: bool = True): + self.__scintillator_pos.put(value, wait=wait) # Reflector (backlight?) @property @@ -169,7 +188,18 @@ class BeamlineDevices: def anneal(self, time: float): pass -# Shutter + @property + def cryojet_pos(self) -> StagePositionEnum: + return StagePositionEnum(self.__cryojet_pos.position.upper()) + + @cryojet_pos.setter + def cryojet_pos(self, value: StagePositionEnum): + self.cryojet_pos_setter(value, wait=True) + + def cryojet_pos_setter(self, value: StagePositionEnum, wait:bool=False): + self.__cryojet_pos.put(value, wait=wait) + + # Shutter @property def shutter(self) -> bool: return False @@ -182,8 +212,8 @@ class BeamlineDevices: @property def samcam_settings(self) -> SampleCameraSettings: return SampleCameraSettings( - gain=self.__sample_cam.gain.value, - exposure=self.__sample_cam.expo.value + gain=self.__sample_cam.gain_rbv.value, + exposure=self.__sample_cam.expo_rbv.value ) @samcam_settings.setter @@ -193,11 +223,8 @@ class BeamlineDevices: def samcam_get_image(self, /, gray: bool = False) -> np.ndarray: return self.__sample_cam.get_image(gray=gray) - def samcam_auto(self, val: bool = False): - if val: - self.__sample_cam.set_auto() - else: - self.__sample_cam.set_manual() + def samcam_auto(self, state: AutoEnum): + self.__sample_cam.set_auto(state) # Detector Z @property From 6bacf63117d44a8e0583c2c3369093dcdedf026a Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 29 Jan 2026 16:45:48 +0100 Subject: [PATCH 058/144] DAQ: functionality for auto_exposure added using enums --- src/aare/devices/area_detector.py | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/src/aare/devices/area_detector.py b/src/aare/devices/area_detector.py index 32dbea93..1f6ac594 100644 --- a/src/aare/devices/area_detector.py +++ b/src/aare/devices/area_detector.py @@ -1,6 +1,12 @@ +from enum import Enum + import epics import numpy as np +class AutoEnum(Enum): + MANUAL = 0 + ONCE = 1 + AUTO = 2 class epicsAD(object): def __init__(self, prefix, cam="cam1:", image="image1:"): @@ -133,10 +139,10 @@ class epicsAD(object): self.expo.put(expo) # 20 hz acquisition self.acquire.put(1) - def set_auto(self): + def set_auto(self, state: AutoEnum): self.acquire.put(0, wait=True) - self.gain_mode.put(2) # automatic gain control - self.expo_mode.put(2) # automatic exposure control + self.gain_mode.put(state.value) # automatic gain control + self.expo_mode.put(state.value) # automatic exposure control self.acquire.put(1) def set_auto_once(self): From 871384d45d7dda106a15de1d2350d4ecd70776f4 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 29 Jan 2026 16:46:11 +0100 Subject: [PATCH 059/144] CONFIG: update aerotech home position for X10SA --- src/aare/daq/config.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aare/daq/config.py b/src/aare/daq/config.py index 9bae85fd..2873747b 100644 --- a/src/aare/daq/config.py +++ b/src/aare/daq/config.py @@ -22,7 +22,7 @@ from aare.common.beamline import MXBeamline from aare.common.logger_config import setup_logger ABR_POS_ALIGN_DEF = Coordinate(x=-18, y=-0.266, z=0) -ABR_POS_MOUNT = Coordinate(x=-18, y=0, z=0) +ABR_POS_MOUNT = Coordinate(x=18, y=0, z=0)#Coordinate(x=-18, y=0, z=0) ABR_OMEGA_MOUNT = 0.0 logger = setup_logger("aareDAQ") From f9970a66cb78dadc645accf95f5adbeae11e81cf Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 29 Jan 2026 16:46:54 +0100 Subject: [PATCH 060/144] DAQ: removed samcam script as it duplicated area_detector --- src/aare/devices/sam_cam.py | 163 ------------------------------------ 1 file changed, 163 deletions(-) delete mode 100644 src/aare/devices/sam_cam.py diff --git a/src/aare/devices/sam_cam.py b/src/aare/devices/sam_cam.py deleted file mode 100644 index 89eeb964..00000000 --- a/src/aare/devices/sam_cam.py +++ /dev/null @@ -1,163 +0,0 @@ -from epics import PV - -from aare.common.beamline import MXBeamline - - -class SamCam: - def __init__(self, bl: MXBeamline): - BEAMLINE = bl.value.upper() - sam_cam_pv_name = f"{BEAMLINE}-SAMCAM" - self.cam_exp = PV(f"{sam_cam_pv_name}:cam1:AcquireTime") - self.cam_gain = PV(f"{sam_cam_pv_name}:cam1:Gain") - self.cam_mean = PV(f"{sam_cam_pv_name}:Stats1:MeanValue_RBV") - - def auto_exposure(self, - target_mean=128, - tolerance=5, - max_iterations=50, - timeout=30.0): - """ - Auto-expose a camera by adaptively adjusting exposure and gain. - - Args: - cam_exp_pv: PV for exposure time (0 to 0.2s) - cam_gain_pv: PV for gain (36 to 512) - cam_mean_pv: PV for image mean value - target_mean: Target mean pixel value (default 128) - tolerance: Acceptable range ±tolerance (default ±5) - max_iterations: Maximum iterations before giving up - timeout: Total timeout in seconds - - Returns: - dict with status, final_mean, iterations, exposure, gain - - Raises: - TimeoutError if target not reached within timeout - ValueError if PVs are invalid - """ - import time - - start_time = time.time() - - # Validate PVs and get initial values - try: - exp = self.cam_exp.get() - gain = self.cam_gain.get() - mean = self.cam_mean.get() - except Exception as e: - raise ValueError(f"Failed to read camera PVs: {e}") - - # Hardware limits - EXP_MIN, EXP_MAX = 0.0, 0.2 - GAIN_MIN, GAIN_MAX = 36, 512 - - # Check if we're already in target range - if abs(mean - target_mean) <= tolerance: - return { - "status": "success", - "final_mean": mean, - "iterations": 0, - "exposure": exp, - "gain": gain, - "converged": True - } - - iteration = 0 - - while iteration < max_iterations: - # Check timeout - if time.time() - start_time > timeout: - raise TimeoutError( - f"Auto-exposure failed to converge after {timeout}s. " - f"Last mean: {mean:.1f}" - ) - - iteration += 1 - error = mean - target_mean # Positive = too bright, negative = too dark - - # Calculate adaptive step size based on error magnitude - # Larger errors → larger steps for faster convergence - error_magnitude = abs(error) - - if error_magnitude > 30: # Large error: aggressive steps - exp_step = 0.01 - gain_step = 40 - elif error_magnitude > 15: # Medium error: moderate steps - exp_step = 0.005 - gain_step = 20 - else: # Small error: fine adjustments - exp_step = 0.001 - gain_step = 5 - - # Strategy: Prefer adjusting gain first (faster response), then exposure - # This prioritizes the parameter that responds more quickly to changes - - if error > tolerance: # Too bright: reduce signal - # Try to reduce gain first (has faster effect on some cameras) - if gain > GAIN_MIN: - gain = max(GAIN_MIN, gain - gain_step) - self.cam_gain.put(gain) - elif exp > EXP_MIN: - exp = max(EXP_MIN, exp - exp_step) - self.cam_exp.put(exp) - else: - # Already at minimum - can't go darker - return { - "status": "warning_min_limits", - "final_mean": mean, - "iterations": iteration, - "exposure": exp, - "gain": gain, - "converged": False, - "message": "Reached minimum exposure/gain, cannot reduce further" - } - - elif error < -tolerance: # Too dark: increase signal - # Try to increase exposure first (more precise control) - if exp < EXP_MAX: - exp = min(EXP_MAX, exp + exp_step) - self.cam_exp.put(exp) - elif gain < GAIN_MAX: - gain = min(GAIN_MAX, gain + gain_step) - self.cam_gain.put(gain) - else: - # Already at maximum - can't go brighter - return { - "status": "warning_max_limits", - "final_mean": mean, - "iterations": iteration, - "exposure": exp, - "gain": gain, - "converged": False, - "message": "Reached maximum exposure/gain, cannot increase further" - } - - # Small settling time for camera to stabilize - time.sleep(0.1) - mean = self.cam_mean.get() - - # Check convergence - if abs(mean - target_mean) <= tolerance: - return { - "status": "success", - "final_mean": mean, - "iterations": iteration, - "exposure": exp, - "gain": gain, - "converged": True - } - - # Max iterations exceeded - return { - "status": "warning_max_iterations", - "final_mean": mean, - "iterations": iteration, - "exposure": exp, - "gain": gain, - "converged": False, - "message": f"Did not converge after {max_iterations} iterations. Final mean: {mean:.1f}" - } - -if __name__ == "__main__": - from aare.common.beamline import mx_beamline - beamline = mx_beamline() From 4aeee4bf9593bd7d520d96502f64beef9afbc196 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 29 Jan 2026 16:48:13 +0100 Subject: [PATCH 061/144] Aerotech: added functionality to epics controller and to python api. --- src/aare/devices/aerotech.py | 236 +++++++++++++++++++++++++++++------ 1 file changed, 196 insertions(+), 40 deletions(-) diff --git a/src/aare/devices/aerotech.py b/src/aare/devices/aerotech.py index 19650cbe..89719ca6 100644 --- a/src/aare/devices/aerotech.py +++ b/src/aare/devices/aerotech.py @@ -5,36 +5,24 @@ import time from enum import Enum from typing import Union -#import automation1 as a1 +import automation1 as a1 from epics import PV, Motor, caput, caget from aare.common.beamline import MXBeamline, mx_beamline from aare.devices.my_motor import MyMotor +class TaskEnum(Enum): + TASK_0 = 0 + TASK_1 = 1 + TASK_2 = 2 + TASK_3 = 3 + TASK_4 = 4 -class AerotechController: - def __init__(self, controller_ip: str): - if controller_ip is None: - self.controller = None - else: - self.controller = a1.Controller.connect(controller_ip) - - self.start_controller() - - def start_controller(self): - self.controller.start() - - def disconnect(self): - self.controller.disconnect() - - def enable_motion(self, axis: str): - self.controller.runtime.commands.motion.enable(axis.upper()) - - def home_motor(self, axis: str): - if not self.controller.runtime.commands.motion.is_enabled(axis.upper()): - self.enable_motion(axis) - self.controller.runtime.commands.motion.home(axis.upper()) - +class AxisEnum(Enum): + X = "gmx" + Y = "gmy" + Z = "gmz" + OMEGA = "Omega" class AerotechRunEnum(Enum): STOP = 0 @@ -97,10 +85,10 @@ class AerotechControllerEpics: self.__task_run_enum.put(2) def __task_pause(self): - self.__task_run_enum.put(3) + self.__task_run_enum.put(4) def __task_load(self): - self.__task_run_enum.put(4) + self.__task_run_enum.put(3) def __task_reset(self): self.__task_run_enum.put(5) @@ -119,19 +107,27 @@ class AerotechControllerEpics: def set_offset(self, axis: MyMotor, offset: float): self.__put(axis=axis, attr="OFF", value=offset) - def home_all(self): + def home_all(self, task_id: int = 3): #self.__task_id.put(2) self.__task_reset() - time.sleep(0.1) - self.__task_id.put(2) + time.sleep(0.2) + self.__task_id.put(task_id) print(self.__task_id.get()) + time.sleep(0.2) self.__task_filename.put("home_all.a1exe") print(self.__task_filename.get()) - self.__task_load() - print(self.__task_run_enum.get()) + # self.__task_load() + #time.sleep(0.2) + #print(self.__task_run_enum.get()) + time.sleep(1.0) self.__task_run() print(self.__task_run_enum.get()) + def get_tast_status(self, task_id: int = 3): + task_status = PV(f"{self.aerotech_pv_prefix}:TASK:T{task_id}:STATUS") + return task_status.get(as_string=True) + + def __set_global(self, index:int, value: Union[int, float, str], timeout:float=10.0): """Set a global variable in aerotech, it takes ~200 ms for the value to be set @@ -178,22 +174,182 @@ class AerotechControllerEpics: self.__set_global(index, value) +class AerotechController: + def __init__(self, controller_ip: str): + if controller_ip is None: + self.controller = None + else: + self.controller = a1.Controller.connect(controller_ip) + self.status_item_configuration = a1.StatusItemConfiguration() + self.start_controller() + + def start_controller(self): + self.controller.start() + + def disconnect(self): + self.controller.disconnect() + + def enable_motion(self, axis: str): + self.controller.runtime.commands.motion.enable(axis.upper()) + + def home_motor(self, axis: str): + self.__configure_axis_status(axis, a1.AxisStatusItem.AxisEnabled) + result = self.get_status_via_status_items(name=axis, status_item=a1.AxisStatusItem.AxisEnabled) + if not result == a1.AxisStatusItem.AxisEnabled: + self.enable_motion(axis) + self.controller.runtime.commands.motion.home(axis.upper()) + + def __configure_axis_status(self, axis_name: str, axis_status_item: a1.AxisStatusItem): + self.status_item_configuration.axis.add(axis_status_item=axis_status_item, axis=axis_name) + + def __configure_task_status(self, task_id:int, task_status_item: a1.TaskStatusItem): + self.status_item_configuration.task.add(task_status_item=task_status_item, task=f"Task {task_id}") + + def get_status_via_status_items(self, name: str | int, status_item: a1.TaskStatusItem | a1.AxisStatusItem): + result = self.controller.runtime.status.get_status_items(self.status_item_configuration) + if int(name): + return result.task.get(status_item, f"Task {name}").value + elif str(name): + return result.axis.get(status_item, name).value + else: + raise ValueError(f"Invalid status item {status_item} for task {name}") + + + def get_axis_status_via_status_items(self, axis_name:str, status_item: a1.AxisStatusItem): + result = self.controller.runtime.status.get_status_items(self.status_item_configuration) + return result.task.get(status_item, axis_name).value + + def wait_for_status_to_change(self, name: str | int, status_item:a1.TaskStatusItem | a1.AxisStatusItem, enum, timeout: float = 60.0): + start = time.perf_counter() + while self.get_status_via_status_items(name, status_item) == enum: + time.sleep(0.1) + if time.perf_counter() - start > timeout: + print(self.get_status_via_status_items(name, status_item)) + raise TimeoutError(f"Timeout waiting for task {name} to finish") + return + + def wait_program_finish(self, task_id:int=3, timeout:float=60.0): + start = time.perf_counter() + status_item = a1.TaskStatusItem.TaskState + while True: + status = self.get_status_via_status_items(task_id, status_item) + if status != a1.TaskState.ProgramRunning: + if status == a1.TaskState.Idle: + return + elif status == a1.TaskState.ProgramComplete: + print(f"Program completed on Task {task_id}") + return + elif status == a1.TaskState.Error: + raise RuntimeError(f"Task {task_id} failed to start") + elif status == a1.TaskState.ProgramPaused: + print(f"Program paused on Task {task_id}, not sure how") + else: + raise RuntimeError(f"Unknown status {status} for task {task_id}") + if time.perf_counter() - start > timeout: + print(self.get_status_via_status_items(task_id, status_item)) + raise TimeoutError(f"Timeout waiting for task {task_id} to finish") + time.sleep(0.05) + print(f"Task {task_id} finished with status {status}") + + def __run_program(self, script_name:str, task_id:int=3, timeout:float=60.0): + self.__configure_task_status(task_id, a1.TaskStatusItem.TaskState) + state = self.get_status_via_status_items(task_id, a1.TaskStatusItem.TaskState) + print(f"Task {task_id} is in state {state}: {a1.TaskState(state).name}") + if state != a1.TaskState.ProgramComplete or state != a1.TaskState.Idle: + if a1.TaskState.ProgramRunning == state: + self.wait_for_status_to_change(task_id, a1.TaskStatusItem.TaskState, state, timeout) + elif a1.TaskState.ProgramComplete == state: + print('can continue') + else: + print(f"Task {task_id} is not idle: {a1.TaskState(state).name} , aborting") + return + try: + print(f"Running script {script_name} on task {task_id}") + self.controller.runtime.tasks[task_id].program.run(script_name) + self.wait_program_finish(task_id, timeout) + except Exception as e: + print(f"Error executing script {script_name}: {e}") + + + def home_all(self, task_id:int = 3): + self.__run_program(script_name="home_all.a1exe", task_id=task_id, timeout=120.0) + + def rotation_scan(self, task_id = 3, start_angle:float = 0.0, end_angle:float = 360.0, step_size:float = 1.0, num_steps:int = 10): + self.__run_program(script_name="rotation_scan.a1exe", task_id=task_id, timeout=90.0) if __name__ == "__main__": beamline = mx_beamline() print(beamline) ### test on 10S - #aerotech = AerotechController(controller_ip="129.129.118.96") + aerotech = AerotechController(controller_ip="129.129.118.96") #aerotech.enable_motion("X") - #aerotech.home_motor("X") - #aerotech.disconnect() - - aerotech_epics = AerotechControllerEpics(beamline) + aerotech.home_all() + aerotech.disconnect() + print('initialise aerotech EPICS') + #aerotech_epics = AerotechControllerEpics(beamline) #aerotech_epics.omega.speed = 80.0 - print(aerotech_epics.get_global_variable(0, VariableTypeEnum.REAL)) - aerotech_epics.set_global_variable(0, 100.0) - print(aerotech_epics.get_global_variable(0, VariableTypeEnum.REAL)) - #aerotech_epics.omega.move(90.0, wait=True) + #print(aerotech_epics.get_global_variable(0, VariableTypeEnum.REAL)) + #aerotech_epics.set_global_variable(0, 100.0) + #print(aerotech_epics.get_global_variable(0, VariableTypeEnum.REAL)) + # print('enable all motors') + # aerotech_epics.enable_all() + # print('home_all') + # aerotech_epics.home_all() + # print('wait for home to finish') + # start = time.perf_counter() + # status = aerotech_epics.get_tast_status(2) + # print(f'current status: {status}') + # if status == 'Idle': + # time.sleep(0.2) + # test_counter = 0 + # while status != 'Ready': + # time.sleep(0.1) + # if time.perf_counter() - start > 360.0: + # raise TimeoutError("Timeout waiting for home all task to finish") + # elif status == 'Idle': + # time.sleep(0.5) + # if test_counter == 1: + # raise RuntimeError("Home all task failed to start") + # time.sleep(1.0) + # print('restarting home all') + # aerotech_epics.home_all() + # time.sleep(1.0) + # test_counter = 1 + # + # status = arotech_epics.get_tast_status(2) + # for i in range(10): + # print(f'moving to {(i+1)*90}') + # aerotech_epics.omega.move(90.0, relative=True, wait=True) + # time.sleep(1.0) + # if i == 5: + # print('simulating disable') + # aerotech_epics._disable_all() + # time.sleep(10.0) + # print('re-enabling') + # aerotech_epics.enable_all() + # time.sleep(1.0) + # print('home all') + # aerotech_epics.home_all() + # print('wait for home to finish') + # start = time.perf_counter() + # status = aerotech_epics.get_tast_status(2) + # print(f'current status: {status}') + # test_counter = 0 + # while status != 'Ready': + # time.sleep(0.1) + # if time.perf_counter() - start > 360.0: + # raise TimeoutError("Timeout waiting for home all task to finish") + # status = aerotech_epics.get_tast_status(2) + # time.sleep(0.5) + # if test_counter == 1: + # raise RuntimeError("Home all task failed to start") + # time.sleep(1.0) + # print('restarting home all') + # aerotech_epics.home_all() + # time.sleep(1.0) + # test_counter = 1 + + #aerotech_epics.home_all() From ddec076fcf84cdb690ef7ab6f2d37d5a1257e4f0 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 29 Jan 2026 16:48:56 +0100 Subject: [PATCH 062/144] DAQ: updates to enum_pc and set_get_pv classes, WIP --- src/aare/devices/enum_pv.py | 9 +++- .../{non_standard.py => set_get_pv.py} | 53 +++++++++++-------- 2 files changed, 37 insertions(+), 25 deletions(-) rename src/aare/devices/{non_standard.py => set_get_pv.py} (76%) diff --git a/src/aare/devices/enum_pv.py b/src/aare/devices/enum_pv.py index 4253b1ff..1eb0aac2 100755 --- a/src/aare/devices/enum_pv.py +++ b/src/aare/devices/enum_pv.py @@ -3,17 +3,22 @@ from enum import Enum from typing import Union, Optional from epics import PV, Motor, poll +from aare.devices.set_get_pv import SetGetPV + + class ValueWaitTimeout(Exception): """Raised when a PV fails to reach a target value within the timeout period.""" pass -class EnumPv: +class EnumPv(SetGetPV): """create a class that combines a setter PV and readback PV into a single object. i.e. self.__back_light_pos = EnumPv(pv_name = f"{BEAMLINE}-ES-BL:POS-SET", rbv_name=f"{BEAMLINE}-ES-BL:POS-GET", timeout=10.0) """ - def __init__(self, pv_name: str, rbv_name: Optional[str] = None, timeout: float = 60.0): + def __init__(self, pv_name: str, + rbv_name: Optional[str] = None, + timeout: float = 60.0): """Initialize the EnumPv object. :param pv_name: The name of the control PV. :param rbv_name: The name of the readback PV. If not provided, defaults to the control PV. diff --git a/src/aare/devices/non_standard.py b/src/aare/devices/set_get_pv.py similarity index 76% rename from src/aare/devices/non_standard.py rename to src/aare/devices/set_get_pv.py index a6b198c4..1e31cc7e 100644 --- a/src/aare/devices/non_standard.py +++ b/src/aare/devices/set_get_pv.py @@ -1,13 +1,16 @@ import time from typing import Any, Dict, Optional, Union from epics import PV, poll + +from aare.common.beamline import MXBeamline from aare.devices.mx_lib import pv_wait -class NonStandard: +class SetGetPV: """ A wrapper for EPICS PVs that have separate setpoint and readback PVs. Similar to EnumPv but supports arbitrary numeric or string types and predefined positions. + """ def __init__( @@ -15,34 +18,41 @@ class NonStandard: name: str, setpv: str, getpv: str, - timeout: float = 60.0, - tolerance: Optional[float] = None, - predefs: Optional[Dict[str, Any]] = None, - **kwargs ): self.name = name - self.device_name = name self.setpoint_pv = PV(setpv) self.readback_pv = PV(getpv) - self.default_timeout = timeout - self.tolerance = tolerance - - self._predefs = predefs or {} - self.positions = list(self._predefs.keys()) - self._target_pos: Optional[Any] = None - if kwargs.get("move_done_when"): - self.__move_done_when = PV(kwargs.get("move_done_when")) @property - def value(self) -> Any: - """Alias for position to maintain compatibility.""" - if not self.readback_pv.connected: - return None + def value(self): return self.readback_pv.get() + @property + def position(self): + return self.value + + def put(self, value: Union[str, float], wait : bool=False): + self.setpoint_pv.put(value, wait=wait) + + def __repr__(self): + return f"<{self.__class__.__name__} '{self.name}' at {self.value}>" + +class PredefinedPV(SetGetPV): + + def __init__(self, name: str, setpv: str, getpv: str, predefined_values: Dict[str, Any], + timeout: float = 60.0, tolerance: Optional[float] = None): + + super().__init__(name=name, setpv=setpv,getpv=getpv) + + self._predefs = predefined_values or {} + self.positions = list(self._predefs.keys()) + self._target_pos: Optional[Any] = None + self.tolerance = tolerance + self.default_timeout = timeout + def get_predefined_name(self) -> str: """Returns the name of the predefined position if current position matches one.""" - current = self.value + current = self.position for name, val in self._predefs.items(): # Handle callable predefs (like offsets) target = val[0](*val[1]) if isinstance(val, tuple) and callable(val[0]) else val @@ -79,7 +89,4 @@ class NonStandard: return tout = timeout or self.default_timeout - pv_wait(self.readback_pv, self._target_pos, timeout=tout, tolerance=self.tolerance) - - def __repr__(self): - return f"<{self.__class__.__name__} '{self.name}' at {self.value}>" + pv_wait(self.readback_pv, self._target_pos, timeout=tout, tolerance=self.tolerance) \ No newline at end of file From 1058290099aea48038982d30ff2421410b39e926 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 29 Jan 2026 16:49:21 +0100 Subject: [PATCH 063/144] logger_config.py: added back in config yaml loading otherwise logging statements are silenced. --- src/aare/common/logger_config.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/src/aare/common/logger_config.py b/src/aare/common/logger_config.py index 516c7f05..e93138d1 100644 --- a/src/aare/common/logger_config.py +++ b/src/aare/common/logger_config.py @@ -38,13 +38,13 @@ def setup_logger(name="aareDAQ", base_dir: str | None = '~/tmp/mxlogs', config_p # switch to production mode using: $ APP_ENV=prod python main.py env = os.getenv("APP_ENV", "dev") # default: dev - #if config_path is None: - # config_file = get_config_path(env) - #else: - # config_file = Path(config_path) + if config_path is None: + config_file = get_config_path(env) + else: + config_file = Path(config_path) - # with open(config_file, "r") as f: - # config = yaml.safe_load(f.read()) + with open(config_file, "r") as f: + config = yaml.safe_load(f.read()) # Force base directory to be under the user's home dir # effective_base = base_dir or '~/mxlogs' @@ -65,7 +65,7 @@ def setup_logger(name="aareDAQ", base_dir: str | None = '~/tmp/mxlogs', config_p #if log_dir and not os.path.exists(log_dir): # os.makedirs(log_dir, exist_ok=True) -# logging.config.dictConfig(config) + logging.config.dictConfig(config) logging.getLogger("redis_lock").setLevel(logging.WARNING) logging.getLogger("urllib3").setLevel(logging.WARNING) logging.getLogger("matplotlib.font_manager").setLevel(logging.WARNING) From e6d84a307d01c2a7737eac3a5dc4d08c6901962f Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 29 Jan 2026 16:49:48 +0100 Subject: [PATCH 064/144] Workflows - temporarily added back sa2se and common2rse methods. --- src/aare/daq/workflows.py | 47 +++++++++++++++++++++++++++++++++++---- 1 file changed, 43 insertions(+), 4 deletions(-) diff --git a/src/aare/daq/workflows.py b/src/aare/daq/workflows.py index c1e4243d..dcd75416 100644 --- a/src/aare/daq/workflows.py +++ b/src/aare/daq/workflows.py @@ -1,5 +1,8 @@ +from aare.common.coordinate import Coordinate +from aare.common.models import StagePositionEnum from aare.daq.devices import BeamlineDevices -from aare.daq.config import BeamlineConfig +from aare.daq.config import BeamlineConfig, ABR_POS_MOUNT + def move_bsz(devs: BeamlineDevices, target: float): if abs(target - devs.bsz.position) > 0.1: @@ -25,13 +28,39 @@ def wait_for_se_devices(devs: BeamlineDevices, cfg: BeamlineConfig): pass def common_2rse(devs: BeamlineDevices, cfg: BeamlineConfig): - pass + print('move collimator and scintillator to 20') + devs.collimator = 20.0 + devs.scintillator = 20.0 + print('move smargon home') + devs.smargon_move_home() + print('try to move aerotech') + devs.aerotech_pos = Coordinate(x=18.0, y=0.0, z=0.0) + devs.aerotech_omega = 0.0 + print('move bl to park') + devs.reflector_up = StagePositionEnum.PARK + print('move bs to park') + devs.beamstop_stage_up = StagePositionEnum.PARK + print('move cryo to park') + devs.__cryojet_pos = StagePositionEnum.PARK def m2se(devs: BeamlineDevices, cfg: BeamlineConfig): pass def sa2se(devs: BeamlineDevices, cfg: BeamlineConfig): - pass + print('move collimator and scintillator to 20') + devs.collimator = 20.0 + devs.scintillator = 20.0 + print('move smargon home') + devs.smargon_move_home() + print('try to move aerotech') + devs.aerotech_pos = Coordinate(x=18.0, y=0.0, z=0.0) + devs.aerotech_omega = 0.0 + print('move bl to park') + devs.reflector_up = StagePositionEnum.PARK + print('move bs to park') + devs.beamstop_stage_up = StagePositionEnum.PARK + print('move cryo to park') + devs.__cryojet_pos = StagePositionEnum.PARK def sa2rse(devs: BeamlineDevices, cfg: BeamlineConfig): common_2rse(devs, cfg) @@ -40,7 +69,7 @@ def dc2rse(devs: BeamlineDevices, cfg: BeamlineConfig): common_2rse(devs, cfg) def se2sa(devs: BeamlineDevices, cfg: BeamlineConfig): - pass + devs.reflector_up = StagePositionEnum.MEASURE def rse2sa(devs: BeamlineDevices, cfg: BeamlineConfig): se2sa(devs, cfg) @@ -94,3 +123,13 @@ def sa2dh(devs: BeamlineDevices, cfg: BeamlineConfig): def dh2sa(devs: BeamlineDevices, cfg: BeamlineConfig): pass + +if __name__ == "__main__": + from aare.common.beamline import mx_beamline + import time + bl = mx_beamline() + cfg = BeamlineConfig(bl) + devs = BeamlineDevices(bl) + common_2rse(devs, cfg) + time.sleep(10.0) + rse2sa(devs, cfg) \ No newline at end of file From ab6ecff6774c41c0ba22d76885755671b2f14f5c Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 30 Jan 2026 17:04:45 +0100 Subject: [PATCH 065/144] Added test script for sam cam auto exposure --- src/aare/gui/sam_cam_test.py | 929 +++++++++++++++++++++++++++++++++++ 1 file changed, 929 insertions(+) create mode 100644 src/aare/gui/sam_cam_test.py diff --git a/src/aare/gui/sam_cam_test.py b/src/aare/gui/sam_cam_test.py new file mode 100644 index 00000000..cb04d716 --- /dev/null +++ b/src/aare/gui/sam_cam_test.py @@ -0,0 +1,929 @@ +from __future__ import annotations + +import time +from dataclasses import dataclass +from time import sleep, perf_counter +from typing import Callable, Optional + +import numpy as np + +from aare.common.beamline import mx_beamline +from aare.devices.area_detector import epicsAD +from aare.daq.devices import BeamlineDevices +# profile_X = PV('X10SA-SAMCAM:Stats5:ProfileAverageX_RBV') +# profile_Y = PV('X10SA-SAMCAM:Stats5:ProfileAverageY_RBV') +# hist = PV('X10SA-SAMCAM:Stats5:Histogram_RBV') +# +# print(sample_cam.expo_rbv.get()) +# print(np.array(profile_X.get()).mean()) +# print(np.array(profile_Y.get()).mean()) +# print(np.array((hist.get())).mean()) +# roi_mean = PV('X10SA-SAMCAM:Stats5:MeanValue_RBV') +# cursorY = PV('X10SA-SAMCAM:Stats5:CursorY') +# cursorY_RBV = PV('X10SA-SAMCAM:Stats5:CursorY_RBV') +# cursorX = PV('X10SA-SAMCAM:Stats5:CursorX') +# cursorX_RBV = PV('X10SA-SAMCAM:Stats5:CursorX_RBV') + +# Python +@dataclass(frozen=True) +class MeteringConfig: + """ + Metering and robustness parameters for dark-background + bright sample scenes. + """ + # Use central ROI to reduce chance of metering random bright junk near edges. + # 1.0 = full frame, 0.7 = central 70% in width/height. + center_roi: float = 0.7 + + # Dynamic threshold: thr = percentile(gray, bg_percentile) + delta_dn + bg_percentile: float = 10.0 + delta_dn: int = 15 + + # If mask is too small, fall back to a larger ROI or whole frame. + min_mask_fraction: float = 0.002 # 0.2% of ROI pixels + + # Winsorization for brightness metric (NOT for clipping metric): + # clamp values above winsor_high before computing percentiles. + winsor_high: int = 245 + + +@dataclass(frozen=True) +class TargetConfig: + """ + Control objectives. + """ + # Hard constraint: keep saturated fraction small. + clip_limit: float = 0.003 # 0.3% of metered pixels >= clip_level + + # Clip threshold (8-bit): treat >=254 as "near-saturated". + clip_level: int = 254 + + # Percentile target of metered (masked) pixels. For metallic base variability, + # p80 is usually more stable than p90. + percentile: float = 80.0 + percentile_target: float = 160.0 + + # Optional: if the metered pixels are too sparse, you can skip updates. + min_metered_pixels: int = 5000 + + +@dataclass(frozen=True) +class LimitsConfig: + """ + Exposure/gain bounds and stepping. + """ + exposure_min_s: float = 0.0001 + exposure_max_s: float = 1.0 + + exposure_effective_min_s: float = 0.002 + exposure_quantum_s: float = 1e-6 + + gain_min: float = 0.0 + gain_max: float = 36.0 + + # Update aggressiveness + exposure_k: float = 0.35 # proportional factor for percentile error + exposure_clip_drop: float = 0.7 # multiply exposure by this when clipping too high + + gain_step: float = 1.0 # gain adjustment step when exposure hits bounds + + # Safety: limit how fast exposure can change to avoid oscillations + max_exposure_scale_up: float = 1.25 + max_exposure_scale_down: float = 0.75 + + +@dataclass +class Metrics: + bg: float + thr: int + n_total: int + n_metered: int + mask_fraction: float + clip_frac: float + p50: float + p70: float + p80: float + p90: float + mean: float + + +def _center_crop(gray: np.ndarray, frac: float) -> np.ndarray: + if frac >= 1.0: + return gray + if frac <= 0.0: + raise ValueError("center_roi must be in (0, 1].") + h, w = gray.shape[:2] + rh = max(1, int(h * frac)) + rw = max(1, int(w * frac)) + y0 = (h - rh) // 2 + x0 = (w - rw) // 2 + return gray[y0:y0 + rh, x0:x0 + rw] + +def _percentile_from_hist(hist: np.ndarray, percentile: float) -> int: + """ + hist: counts per DN bin [0..255] + percentile: 0..100 + returns: DN value (0..255) + """ + total = int(hist.sum()) + if total <= 0: + return 0 + k = int(np.ceil((percentile / 100.0) * total)) + c = np.cumsum(hist) + return int(np.searchsorted(c, k, side="left")) + +def _hist_u8(a: np.ndarray) -> np.ndarray: + """ + Fast histogram for uint8 array -> length 256. + """ + return np.bincount(a.ravel(), minlength=256) + +# def compute_metrics(gray: np.ndarray, met: MeteringConfig, tgt: TargetConfig) -> Metrics: +# """ +# Compute robust metering metrics for 8-bit dark-background scenes. +# """ +# if gray.ndim != 2: +# raise ValueError("compute_metrics expects a 2D grayscale image.") +# g = gray +# if g.dtype != np.uint8: +# # If gray is float from RGB conversion, this handles it gracefully. +# g = np.clip(g, 0, 255).astype(np.uint8) +# +# roi = _center_crop(g, met.center_roi) +# n_total = int(roi.size) +# +# bg = float(np.percentile(roi, met.bg_percentile)) +# thr = int(min(255, max(0, round(bg + met.delta_dn)))) +# +# mask = roi > thr +# n_metered = int(mask.sum()) +# mask_fraction = float(n_metered / max(1, n_total)) +# +# # If mask is too small, broaden the ROI (fallback to full frame). +# if mask_fraction < met.min_mask_fraction: +# roi = g +# n_total = int(roi.size) +# bg = float(np.percentile(roi, met.bg_percentile)) +# thr = int(min(255, max(0, round(bg + met.delta_dn)))) +# mask = roi > thr +# n_metered = int(mask.sum()) +# mask_fraction = float(n_metered / max(1, n_total)) +# +# if n_metered == 0: +# return Metrics( +# bg=bg, thr=thr, +# n_total=n_total, n_metered=0, mask_fraction=0.0, +# clip_frac=0.0, p50=0.0, p70=0.0, p80=0.0, p90=0.0, mean=float(np.mean(roi)), +# ) +# +# vals = roi[mask] +# +# # Clipping fraction on raw values +# clip_frac = float(np.mean(roi >= tgt.clip_level)) +# +# # Winsorize only for percentile/mean (prevents glints from dominating brightness target) +# vals_w = np.minimum(vals, np.uint8(met.winsor_high)) +# +# return Metrics( +# bg=bg, +# thr=thr, +# n_total=n_total, +# n_metered=n_metered, +# mask_fraction=mask_fraction, +# clip_frac=clip_frac, +# p50=float(np.percentile(vals_w, 50)), +# p70=float(np.percentile(vals_w, 70)), +# p80=float(np.percentile(vals_w, 80)), +# p90=float(np.percentile(vals_w, 90)), +# mean=float(np.mean(vals_w)), +# ) + +def compute_metrics(gray: np.ndarray, met: MeteringConfig, tgt: TargetConfig) -> Metrics: + """ + Compute robust metering metrics for 8-bit dark-background scenes. + + Optimized: + - avoids np.percentile on million-pixel arrays (uses 256-bin histograms) + - optional subsampling + """ + if gray.ndim != 2: + raise ValueError("compute_metrics expects a 2D grayscale image.") + + g = gray + if g.dtype != np.uint8: + g = np.clip(g, 0, 255).astype(np.uint8) + + roi_full = _center_crop(g, met.center_roi) + + # Optional subsampling for speed + s = int(getattr(met, "subsample", 1)) + if s > 1: + roi = roi_full[::s, ::s] + else: + roi = roi_full + + n_total = int(roi.size) + + # Background percentile from histogram + hist_roi = _hist_u8(roi) + bg_dn = _percentile_from_hist(hist_roi, met.bg_percentile) + thr = int(min(255, max(0, bg_dn + int(met.delta_dn)))) + + mask = roi > thr + n_metered = int(mask.sum()) + mask_fraction = float(n_metered / max(1, n_total)) + + # If mask too small, fall back to full frame (still subsampled) + if mask_fraction < met.min_mask_fraction: + roi_full = g + if s > 1: + roi = roi_full[::s, ::s] + else: + roi = roi_full + n_total = int(roi.size) + + hist_roi = _hist_u8(roi) + bg_dn = _percentile_from_hist(hist_roi, met.bg_percentile) + thr = int(min(255, max(0, bg_dn + int(met.delta_dn)))) + + mask = roi > thr + n_metered = int(mask.sum()) + mask_fraction = float(n_metered / max(1, n_total)) + + # Clip fraction on ROI (not just masked) + # Uses histogram so it is cheap. + hist_roi = _hist_u8(roi) + clip_bins = hist_roi[int(tgt.clip_level):].sum() + clip_frac = float(clip_bins / max(1, n_total)) + + if n_metered == 0: + # Approx mean from hist (avoids np.mean) + mean_roi = float(np.dot(np.arange(256, dtype=np.float64), hist_roi) / max(1, n_total)) + return Metrics( + bg=float(bg_dn), + thr=thr, + n_total=n_total, + n_metered=0, + mask_fraction=0.0, + clip_frac=clip_frac, + p50=0.0, + p70=0.0, + p80=0.0, + p90=0.0, + mean=mean_roi, + ) + + # Histogram of masked pixels with winsorization applied: + # - compute histogram of masked values + # - fold bins above winsor_high into winsor_high + vals = roi[mask] + hist_vals = _hist_u8(vals) + + wh = int(met.winsor_high) + if wh < 255: + hist_vals[wh] += hist_vals[wh + 1:].sum() + hist_vals[wh + 1:] = 0 + + p50 = float(_percentile_from_hist(hist_vals, 50.0)) + p70 = float(_percentile_from_hist(hist_vals, 70.0)) + p80 = float(_percentile_from_hist(hist_vals, 80.0)) + p90 = float(_percentile_from_hist(hist_vals, 90.0)) + + mean_vals = float(np.dot(np.arange(256, dtype=np.float64), hist_vals) / max(1, hist_vals.sum())) + + return Metrics( + bg=float(bg_dn), + thr=thr, + n_total=n_total, + n_metered=n_metered, + mask_fraction=mask_fraction, + clip_frac=clip_frac, + p50=p50, + p70=p70, + p80=p80, + p90=p90, + mean=mean_vals, + ) + +def _get_percentile_value(m: Metrics, percentile: float) -> float: + if abs(percentile - 50.0) < 1e-6: + return m.p50 + if abs(percentile - 70.0) < 1e-6: + return m.p70 + if abs(percentile - 80.0) < 1e-6: + return m.p80 + if abs(percentile - 90.0) < 1e-6: + return m.p90 + # If you want arbitrary percentiles, compute them directly in compute_metrics. + raise ValueError("This implementation supports percentile ∈ {50, 80, 90} for speed/stability.") + + +class AutoExposureController: + """ + Camera-agnostic controller: you inject how to read image and how to set/get exposure/gain. + + This keeps the logic testable and usable both in DAQ and GUI contexts. + """ + def __init__( + self, + get_gray_image: Callable[[], np.ndarray], + get_exposure_s: Callable[[], float], + set_exposure_s: Callable[[float], None], + get_gain: Callable[[], float], + set_gain: Callable[[float], None], + metering: MeteringConfig | None = None, + target: TargetConfig | None = None, + limits: LimitsConfig | None = None, + ): + self.get_gray_image = get_gray_image + self.get_exposure_s = get_exposure_s + self.set_exposure_s = set_exposure_s + self.get_gain = get_gain + self.set_gain = set_gain + + self.metering = metering or MeteringConfig() + self.target = target or TargetConfig() + self.limits = limits or LimitsConfig() + + # simple exponential smoothing for metrics + self._ema_clip: Optional[float] = None + self._ema_p: Optional[float] = None + + def _clamp(self, x: float, lo: float, hi: float) -> float: + # Enforce "effective" minimum to avoid PV rounding to 0. + lo_eff = max(lo, self.limits.exposure_effective_min_s) + + x = max(lo_eff, min(hi, x)) + + q = float(self.limits.exposure_quantum_s) + if q > 0: + x = round(x / q) * q + + # Re-enforce bounds after rounding + x = max(lo_eff, min(hi, x)) + return x + + def _settle_after_change(self, new_exp_s: float, base_settle_s: float, fps:float = 25.0) -> None: + """ + Wait long enough that the next acquired frame reflects the new exposure. + + For your typical 2–100 ms exposure range, this keeps the loop fast but stable. + """ + t = max(base_settle_s, 1/fps, new_exp_s) + print(t) + t = min(t, 0.35) + sleep(t) + + def _set_exposure_if_changed(self, new_exp: float, current_exp: float) -> bool: + q = float(self.limits.exposure_quantum_s) if self.limits.exposure_quantum_s > 0 else 0.0 + eps = max(1e-9, 0.5 * q) + if abs(new_exp - current_exp) <= eps: + return False + self.set_exposure_s(new_exp) + return True + + def _set_gain_if_changed(self, new_gain: float, current_gain: float) -> bool: + if abs(new_gain - current_gain) < 1e-6: + return False + self.set_gain(new_gain) + return True + + def pre_bracket(self, + base_settle_s: float = 0.01, + max_steps: int = 8, + max_up: float = 3.0, + max_down: float = 0.33, + deadband_dn: float = 25.0) -> None: + """ + Coarse stage that avoids oscillation: + - uses exposure *= target/measured instead of fixed multipliers + - clamps jump size (max_up/max_down) + - reduces jump size if error sign flips (damping) + """ + last_err: float | None = None + up_lim = float(max_up) + dn_lim = float(max_down) + + for _ in range(max_steps): + gray = self.get_gray_image() + m = compute_metrics(gray, self.metering, self.target) + + exp = float(self.get_exposure_s()) + gain = float(self.get_gain()) + + # If we can't meter yet, increase exposure but not insanely. + if m.n_metered < self.target.min_metered_pixels: + new_exp = self._clamp(exp * min(up_lim, 2.0), self.limits.exposure_min_s, self.limits.exposure_max_s) + if new_exp > exp + 1e-12: + self.set_exposure_s(new_exp) + self._settle_after_change(new_exp, base_settle_s) + last_err = None + continue + + new_gain = self._clamp(gain + self.limits.gain_step, self.limits.gain_min, self.limits.gain_max) + self.set_gain(new_gain) + self._settle_after_change(exp, base_settle_s) + last_err = None + continue + + pv = float(_get_percentile_value(m, self.target.percentile)) + err = float(self.target.percentile_target - pv) + + # If we're already close in the coarse sense, stop bracketing. + if abs(err) <= float(deadband_dn) and (m.clip_frac <= self.target.clip_limit): + break + + # If clipping is high, reduce exposure using a bounded drop (avoid slamming to ~0). + if m.clip_frac > self.target.clip_limit: + # Drop factor based on severity but bounded + r = min(5.0, m.clip_frac / max(1e-12, self.target.clip_limit)) # 1..5 + drop = 0.85 - (r - 1.0) * (0.85 - 0.55) / (5.0 - 1.0) # 0.85..0.55 + drop = max(0.50, min(0.90, drop)) # hard bounds + new_exp = self._clamp(exp * drop, self.limits.exposure_min_s, self.limits.exposure_max_s) + if abs(new_exp - exp) > 1e-12: + self.set_exposure_s(new_exp) + self._settle_after_change(new_exp, base_settle_s) + last_err = err + continue + + # Anti-oscillation: if error sign flips, reduce allowed jump size + if last_err is not None and (err == 0.0 or (err > 0) != (last_err > 0)): + up_lim = max(1.3, up_lim * 0.5) + dn_lim = min(0.8, dn_lim + (1.0 - dn_lim) * 0.5) # move dn_lim toward 1.0 (less aggressive down) + + # Main coarse jump: exp *= target / measured + # If pv is tiny, protect division. + denom = max(1.0, pv) + ratio = float(self.target.percentile_target / denom) + + # Clamp jump size so we don't overreact + ratio = max(dn_lim, min(up_lim, ratio)) + + new_exp = self._clamp(exp * ratio, self.limits.exposure_min_s, self.limits.exposure_max_s) + if abs(new_exp - exp) > 1e-12: + self.set_exposure_s(new_exp) + self._settle_after_change(new_exp, base_settle_s) + + last_err = err + + def time_test(self): + t0 = perf_counter() + gray = self.get_gray_image() + t1 = perf_counter() + m = compute_metrics(gray, self.metering, self.target) + t2 = perf_counter() + exp = float(self.get_exposure_s()) + gain = float(self.get_gain()) + t3 = perf_counter() + print("gray:", t1 - t0, "metrics:", t2 - t1, "pvs:", t3 - t2) + + def run_once(self, settle_s: float = 0.15, max_iters: int = 12, verbose: bool = True) -> tuple[ + float, float, Metrics]: + """ + For stationary / after centering: iterate until within constraints (or max_iters). + + Returns: (final_exposure, final_gain, last_metrics) + """ + base_settle_s = float(settle_s) # keep caller's base settle; do NOT overwrite it in-loop + last_m = None + + for i in range(max_iters): + t0 = perf_counter() + gray = self.get_gray_image() + t1 = perf_counter() + m = compute_metrics(gray, self.metering, self.target) + t2 = perf_counter() + + exp = float(self.get_exposure_s()) + gain = float(self.get_gain()) + pv = _get_percentile_value(m, self.target.percentile) + t3 = perf_counter() + + if verbose: + print( + f"[AE once {i + 1:02d}/{max_iters}] exp={exp:.6f}s gain={gain:.2f} " + f"clip={m.clip_frac:.4f} p{int(self.target.percentile)}={pv:.1f} " + f"mask={m.mask_fraction * 100:.2f}% thr={m.thr} n={m.n_metered} " + f"timing(gray={t1 - t0:.3f}s metrics={t2 - t1:.3f}s pvs={t3 - t2:.3f}s)" + ) + + if (m.clip_frac <= self.target.clip_limit) and (abs(self.target.percentile_target - pv) <= 5.0): + break + + # Example: measure set+settle times for exposure changes + if m.clip_frac > self.target.clip_limit: + r = min(5.0, m.clip_frac / max(1e-12, self.target.clip_limit)) + adaptive_drop = 0.85 - (r - 1.0) * (0.85 - 0.40) / (5.0 - 1.0) + adaptive_drop = self._clamp(adaptive_drop, 0.35, 0.90) + + new_exp = self._clamp(exp * adaptive_drop, self.limits.exposure_min_s, self.limits.exposure_max_s) + + ts = perf_counter() + self.set_exposure_s(new_exp) + te = perf_counter() + + tw0 = perf_counter() + self._settle_after_change(new_exp, base_settle_s) + tw1 = perf_counter() + + if verbose: + print(f" set_exp={te - ts:.3f}s settle={tw1 - tw0:.3f}s") + continue + + # Protect highlights + if m.clip_frac > self.target.clip_limit: + tr = perf_counter() + r = min(5.0, m.clip_frac / max(1e-12, self.target.clip_limit)) + adaptive_drop = 0.85 - (r - 1.0) * (0.85 - 0.40) / (5.0 - 1.0) + adaptive_drop = self._clamp(adaptive_drop, 0.35, 0.90) + ta = perf_counter() + + tne = perf_counter() + new_exp = self._clamp(exp * adaptive_drop, self.limits.exposure_min_s, self.limits.exposure_max_s) + ts = perf_counter() + self.set_exposure_s(new_exp) + te = perf_counter() + tw1 = perf_counter() + self._settle_after_change(new_exp, base_settle_s) + tw0 = perf_counter() + if verbose: + print(f"new_exp {tne-ts}s set_exp={te - ts:.3f}s settle={tw1 - tw0:.3f}s") + continue + + # Percentile control + err = float(self.target.percentile_target - pv) + + err_fullscale = 50.0 + err_norm = min(1.0, abs(err) / err_fullscale) + scale_up_limit = 1.12 + err_norm * (2.20 - 1.12) + scale_dn_limit = 0.88 - err_norm * (0.88 - 0.45) + + scale = 1.0 + self.limits.exposure_k * (err / 255.0) + scale = self._clamp(scale, scale_dn_limit, scale_up_limit) + tne = perf_counter() + new_exp = self._clamp(exp * scale, self.limits.exposure_min_s, self.limits.exposure_max_s) + ts = perf_counter() + if abs(new_exp - exp) < 1e-12: + # only adjust gain at limits + if err > 5 and exp >= self.limits.exposure_max_s - 1e-12: + new_gain = self._clamp(gain + self.limits.gain_step, self.limits.gain_min, self.limits.gain_max) + self.set_gain(new_gain) + self._settle_after_change(exp, base_settle_s) + elif err < -5 and exp <= self.limits.exposure_min_s + 1e-12: + new_gain = self._clamp(gain - self.limits.gain_step, self.limits.gain_min, self.limits.gain_max) + self.set_gain(new_gain) + self._settle_after_change(exp, base_settle_s) + else: + break + else: + ts2 = perf_counter() + self.set_exposure_s(new_exp) + te = perf_counter() + tw1 = perf_counter() + self._settle_after_change(new_exp, base_settle_s) + tw0 = perf_counter() + if verbose: + print(f"new_exp {ts-tne}s set_exp={te - ts2:.3f}s settle={tw0 - tw1:.3f}s") + + exp = float(self.get_exposure_s()) + gain = float(self.get_gain()) + return exp, gain, last_m if last_m is not None else compute_metrics(self.get_gray_image(), self.metering, + self.target) + + def run_continuous( + self, + duration_s: float = 10.0, + update_hz: float = 3.0, + ema_alpha: float = 0.4, + verbose: bool = True, + ) -> None: + """ + For moving scenes: low-rate updates + EMA smoothing to avoid oscillation. + + It will update exposure/gain at `update_hz` for `duration_s`. + """ + if update_hz <= 0: + raise ValueError("update_hz must be > 0") + dt = 1.0 / update_hz + + t0 = perf_counter() + k = 0 + while (perf_counter() - t0) < duration_s: + gray = self.get_gray_image() + m = compute_metrics(gray, self.metering, self.target) + + # Skip if metering unreliable + if m.n_metered < self.target.min_metered_pixels: + if verbose: + print(f"[AE cont] skipped (n_metered={m.n_metered})") + sleep(dt) + continue + + pv = _get_percentile_value(m, self.target.percentile) + + # EMA smoothing + if self._ema_clip is None: + self._ema_clip = m.clip_frac + self._ema_p = pv + else: + self._ema_clip = ema_alpha * m.clip_frac + (1 - ema_alpha) * self._ema_clip + self._ema_p = ema_alpha * pv + (1 - ema_alpha) * self._ema_p + + exp = float(self.get_exposure_s()) + gain = float(self.get_gain()) + + if verbose: + print( + f"[AE cont {k:04d}] exp={exp:.6f}s gain={gain:.2f} " + f"clip={self._ema_clip:.4f} p{int(self.target.percentile)}={self._ema_p:.1f} " + f"mask={m.mask_fraction*100:.2f}%" + ) + + # Control using smoothed metrics + if self._ema_clip > self.target.clip_limit: + new_exp = exp * self.limits.exposure_clip_drop + new_exp = max(new_exp, exp * self.limits.max_exposure_scale_down) + new_exp = self._clamp(new_exp, self.limits.exposure_min_s, self.limits.exposure_max_s) + self.set_exposure_s(new_exp) + else: + err = float(self.target.percentile_target - self._ema_p) + scale = 1.0 + self.limits.exposure_k * (err / 255.0) + scale = self._clamp(scale, self.limits.max_exposure_scale_down, self.limits.max_exposure_scale_up) + new_exp = self._clamp(exp * scale, self.limits.exposure_min_s, self.limits.exposure_max_s) + + if abs(new_exp - exp) > 1e-12: + self.set_exposure_s(new_exp) + else: + # Use gain only if pinned at exposure limit + if err > 8 and exp >= self.limits.exposure_max_s - 1e-12: + self.set_gain(self._clamp(gain + self.limits.gain_step, self.limits.gain_min, self.limits.gain_max)) + elif err < -8 and exp <= self.limits.exposure_min_s + 1e-12: + self.set_gain(self._clamp(gain - self.limits.gain_step, self.limits.gain_min, self.limits.gain_max)) + + k += 1 + sleep(dt) + +# Python +def build_controller(sample_cam, lim: LimitsConfig, tgt: TargetConfig, met:MeteringConfig) -> AutoExposureController: + # sample_cam should be whatever your EPICS/AD wrapper object is. + # Important: ensure camera is in manual exposure/gain mode before control. + + def get_gray() -> np.ndarray: + img = sample_cam.get_image(gray=True) + return img # may be float; controller converts/clamps to uint8 + + def get_exp() -> float: + return float(sample_cam.expo_rbv.get()) + + def set_exp(v: float) -> None: + sample_cam.expo.put(float(v), wait=False) + + def get_gain() -> float: + return float(sample_cam.gain_rbv.get()) + + def set_gain(v: float) -> None: + sample_cam.gain.put(float(v), wait=False) + + + + return AutoExposureController(get_gray, get_exp, set_exp, get_gain, set_gain, metering=met, target=tgt, limits=lim) + +def _now_s() -> float: + return perf_counter() + +def _fmt_ms(s: float) -> str: + return f"{s * 1000.0:.1f} ms" + +def _condition_name(reflector_up: bool, back_light: float) -> str: + if reflector_up and back_light > 0.91: + return "reflector_up + backlight_max" + if reflector_up and back_light <= 0.91: + return "reflector_up + backlight_off" + return "reflector_down" + +def _select_profiles(devs) -> tuple[MeteringConfig, TargetConfig, LimitsConfig]: + """ + Choose metering/targets/limits based on current lighting/reflector state. + + IMPORTANT: + - Use a fine exposure_quantum_s for backlight if you want sub-ms exposures. + - exposure_effective_min_s can be as low as 50 us in backlight mode (per your tests). + """ + # You can keep your existing metering/targets here, or define distinct profiles. + # These are conservative defaults; tweak as needed. + metering_front = MeteringConfig(center_roi=0.7, bg_percentile=10.0, delta_dn=15, winsor_high=230) + targets_front = TargetConfig(clip_limit=0.01, percentile=70.0, percentile_target=160.0, min_metered_pixels=5000) + + metering_back = MeteringConfig(center_roi=0.6, bg_percentile=10.0, delta_dn=8, winsor_high=245) + targets_back = TargetConfig(clip_limit=0.02, percentile=70.0, percentile_target=170.0, min_metered_pixels=2000) + + if devs.reflector_up and devs.back_light > 0.91: + limits = LimitsConfig( + exposure_min_s=0.00005, + exposure_max_s=0.1, + exposure_effective_min_s=0.00005, + exposure_quantum_s=1e-6, # NOT 0.001: you want sub-ms capability here + gain_min=0.0, + gain_max=36.0, + exposure_k=0.70, + max_exposure_scale_up=2.2, + max_exposure_scale_down=0.45, + ) + return metering_back, targets_back, limits + + if devs.reflector_up: + limits = LimitsConfig( + exposure_min_s=0.0005, + exposure_max_s=0.2, + exposure_effective_min_s=0.001, # you said 1 ms is safe in backlight mode + exposure_quantum_s=1e-4, + gain_min=0.0, + gain_max=36.0, + exposure_k=0.80, + max_exposure_scale_up=2.2, + max_exposure_scale_down=0.45, + ) + return metering_back, targets_back, limits + + limits = LimitsConfig( + exposure_min_s=0.002, + exposure_max_s=0.5, + exposure_effective_min_s=0.002, + exposure_quantum_s=1e-4, + gain_min=0.0, + gain_max=36.0, + exposure_k=0.80, + max_exposure_scale_up=2.2, + max_exposure_scale_down=0.45, + ) + return metering_front, targets_front, limits + +def _bench_run_one(ctrl: AutoExposureController, + start_exp_s: float, + start_gain: float, + settle_s: float, + max_iters: int, + label: str, + tol_dn: float) -> dict: + """ + Sets starting exposure/gain, then times run_once convergence. + """ + # Prime starting point + ctrl.set_gain(float(start_gain)) + ctrl.set_exposure_s(float(start_exp_s)) + ctrl._settle_after_change(float(start_exp_s), settle_s) + + t0 = _now_s() + end_exp, end_gain, m = ctrl.run_once(settle_s=settle_s, max_iters=max_iters, verbose=False) + dt = _now_s() - t0 + + pv = _get_percentile_value(m, ctrl.target.percentile) + ok = (m.clip_frac <= ctrl.target.clip_limit) and (abs(ctrl.target.percentile_target - pv) <= float(tol_dn)) + + return { + "label": label, + "t_s": dt, + "start_exp_s": start_exp_s, + "start_gain": start_gain, + "end_exp_s": float(end_exp), + "end_gain": float(end_gain), + "clip": float(m.clip_frac), + "p": float(pv), + "mask_frac": float(m.mask_fraction), + "ok": bool(ok), + "n_metered": int(m.n_metered), + "tol_dn": float(tol_dn), + } + +def benchmark_controller(devs, + sample_cam, + expected_exp_s: dict[str, float], + tolerance_dn: dict[str, float] | None = None, + trials: int = 5, + settle_s: float = 0.01, + max_iters: int = 20, + start_gain: float = 0.0) -> None: + """ + Benchmarks controller convergence speed for three lighting conditions. + + tolerance_dn: optional per-condition tolerance on the chosen percentile metric. + """ + cond = _condition_name(devs.reflector_up, float(devs.back_light)) + met, tgt, lim = _select_profiles(devs) + ctrl = build_controller(sample_cam, lim=lim, tgt=tgt, met=met) + + exp_expected = float(expected_exp_s.get(cond, 0.01)) + exp_min = float(lim.exposure_min_s) + exp_max = float(lim.exposure_max_s) + + tol_dn = 5.0 if tolerance_dn is None else float(tolerance_dn.get(cond, 5.0)) + + starts = [ + ("start=min", exp_min), + ("start=expected", exp_expected), + ("start=max", exp_max), + ] + + print(f"\n=== Benchmark: {cond} ===") + print(f"limits: exp[{lim.exposure_min_s} .. {lim.exposure_max_s}] effective_min={lim.exposure_effective_min_s} quantum={lim.exposure_quantum_s}") + print(f"target: p{int(tgt.percentile)}={tgt.percentile_target} clip_limit={tgt.clip_limit} tol=±{tol_dn:.1f}DN settle_s(base)={settle_s} max_iters={max_iters} trials={trials}") + + results: list[dict] = [] + for label, start_exp in starts: + for k in range(trials): + r = _bench_run_one( + ctrl=ctrl, + start_exp_s=start_exp, + start_gain=start_gain, + settle_s=settle_s, + max_iters=max_iters, + label=label, + tol_dn=tol_dn, + ) + r["trial"] = k + 1 + results.append(r) + + # Print summary + for label, _ in starts: + rr = [r for r in results if r["label"] == label] + times = np.array([r["t_s"] for r in rr], dtype=float) + ok_rate = sum(1 for r in rr if r["ok"]) / max(1, len(rr)) + print( + f"{label:14s} mean={_fmt_ms(times.mean())} p95={_fmt_ms(np.percentile(times, 95))} " + f"min={_fmt_ms(times.min())} max={_fmt_ms(times.max())} ok={ok_rate*100:.0f}%" + ) + + print("\nlabel,trial,t_ms,start_exp_ms,end_exp_ms,start_gain,end_gain,clip,p,mask_frac,tol_dn,ok,n_metered") + for r in results: + print( + f"{r['label']},{r['trial']},{r['t_s']*1000.0:.3f}," + f"{r['start_exp_s']*1000.0:.6f},{r['end_exp_s']*1000.0:.6f}," + f"{r['start_gain']:.2f},{r['end_gain']:.2f}," + f"{r['clip']:.6f},{r['p']:.3f},{r['mask_frac']:.6f},{r['tol_dn']:.1f},{int(r['ok'])},{r['n_metered']}" + ) + + +sample_cam = epicsAD(f"{mx_beamline().name.upper()}-SAMCAM:") +devs = BeamlineDevices(mx_beamline()) +metering = MeteringConfig(center_roi=0.7, bg_percentile=10.0, delta_dn=15, winsor_high=230) +targets = TargetConfig(clip_limit=0.01, percentile=70.0, percentile_target=160.0) + + +# +if devs.reflector_up and devs.back_light > 0.91: + limits = LimitsConfig(exposure_min_s=0.00005, exposure_max_s=0.1, exposure_effective_min_s=0.00005, + exposure_quantum_s=1e-6, + gain_min=0.0, gain_max=36.0, exposure_k=0.70, max_exposure_scale_up=1.6, + max_exposure_scale_down=0.6) + metering = MeteringConfig( + center_roi=0.6, + bg_percentile=10.0, + delta_dn=8, + winsor_high=245, + ) + targets = TargetConfig( + clip_limit=0.02, # allow more clipping (bright field can clip) + percentile=70.0, + percentile_target=170.0, + min_metered_pixels=2000, # can be lower because backlight mask is usually strong + ) + +elif devs.reflector_up: + limits = LimitsConfig(exposure_min_s=0.0005, exposure_max_s=0.2, exposure_effective_min_s=0.002, + exposure_quantum_s=0.001, + gain_min=0.0, gain_max=36.0, exposure_k=0.80, max_exposure_scale_up=1.6, + max_exposure_scale_down=0.6) +else: + limits = LimitsConfig(exposure_min_s=0.002, exposure_max_s=0.5, exposure_effective_min_s=0.002, + exposure_quantum_s=0.001, + gain_min=0.0, gain_max=36.0, exposure_k=0.80, max_exposure_scale_up=1.6, + max_exposure_scale_down=0.6) + targets = TargetConfig( + clip_limit=0.01, + percentile=70.0, + percentile_target=160.0, + min_metered_pixels=5000, + ) + metering = MeteringConfig( + center_roi=0.7, + bg_percentile=10.0, + delta_dn=15, + winsor_high=230, + ) +ctrl = build_controller(sample_cam, lim=limits, tgt=targets, met=metering) + +# After centering and stationary: +st = time.perf_counter() +exp, gain, m = ctrl.run_once(settle_s=0.0, max_iters=20, verbose=True) +print(f"run_once took {time.perf_counter() - st} s") + +# expected = { +# "reflector_up + backlight_max": 0.001, # ~1 ms typical +# "reflector_up + backlight_off": 0.025, # adjust based on your observed behaviour +# "reflector_down": 0.052, # 52 ms you reported +# } +# tolerance = { +# "reflector_up + backlight_max": 5.0, +# "reflector_up + backlight_off": 5.0, +# "reflector_down": 5.0, +# } +# benchmark_controller(devs=devs, sample_cam=sample_cam, expected_exp_s=expected, trials=5, settle_s=0.01, max_iters=20, start_gain=0.0) \ No newline at end of file From ead99f0457e1ffd0a00b2e80a12d0a92c12c7d62 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 6 Feb 2026 15:56:41 +0100 Subject: [PATCH 066/144] Added further fucntionality to the automation 1 python api wrapper --- src/aare/devices/aerotech.py | 41 +++++++++++++++++++++++++++++++----- 1 file changed, 36 insertions(+), 5 deletions(-) diff --git a/src/aare/devices/aerotech.py b/src/aare/devices/aerotech.py index 89719ca6..5884e40b 100644 --- a/src/aare/devices/aerotech.py +++ b/src/aare/devices/aerotech.py @@ -215,6 +215,15 @@ class AerotechController: else: raise ValueError(f"Invalid status item {status_item} for task {name}") + def set_global_variable(self, index:int, value: Union[int, float, str]): + if type(value) is int: + self.controller.runtime.variables.global_.set_integer(index, value) + elif type(value) is float: + self.controller.runtime.variables.global_.set_real(index, value) + elif type(value) is str: + self.controller.runtime.variables.global_.set_string(index, value) + else: + raise ValueError(f"Invalid type {type(value)} for global variable") def get_axis_status_via_status_items(self, axis_name:str, status_item: a1.AxisStatusItem): result = self.controller.runtime.status.get_status_items(self.status_item_configuration) @@ -256,13 +265,13 @@ class AerotechController: self.__configure_task_status(task_id, a1.TaskStatusItem.TaskState) state = self.get_status_via_status_items(task_id, a1.TaskStatusItem.TaskState) print(f"Task {task_id} is in state {state}: {a1.TaskState(state).name}") - if state != a1.TaskState.ProgramComplete or state != a1.TaskState.Idle: + if state != a1.TaskState.ProgramComplete and state != a1.TaskState.Idle: if a1.TaskState.ProgramRunning == state: self.wait_for_status_to_change(task_id, a1.TaskStatusItem.TaskState, state, timeout) elif a1.TaskState.ProgramComplete == state: print('can continue') else: - print(f"Task {task_id} is not idle: {a1.TaskState(state).name} , aborting") + print(f"Task {task_id} is not Idle: {a1.TaskState(state).name} , aborting") return try: print(f"Running script {script_name} on task {task_id}") @@ -271,22 +280,44 @@ class AerotechController: except Exception as e: print(f"Error executing script {script_name}: {e}") - + def run_grid_scan(self, cell_height_mm:float, num_rows:int, + row_width_mm:float, time_per_row_s: float, task_id:int =3): + self.set_global_variable(0, cell_height_mm) + self.set_global_variable(1, row_width_mm) + self.set_global_variable(2, time_per_row_s) + self.set_global_variable(1, num_rows) + self.set_global_variable(0, 1) + #self.__run_program(script_name="grid_scan.a1exe", task_id=task_id, timeout=120.0) def home_all(self, task_id:int = 3): self.__run_program(script_name="home_all.a1exe", task_id=task_id, timeout=120.0) def rotation_scan(self, task_id = 3, start_angle:float = 0.0, end_angle:float = 360.0, step_size:float = 1.0, num_steps:int = 10): self.__run_program(script_name="rotation_scan.a1exe", task_id=task_id, timeout=90.0) + def move_motor_absolute(self, axis:str, position:float, speed:float=1.0): + self.controller.runtime.commands.motion.moveabsolute(axis.upper(), [position], [speed]) + + def move_motor_linear(self, axis: str, position: float, speed: float = 1.0): + self.controller.runtime.commands.motion.movelinear(axis.upper(), [position], speed) + if __name__ == "__main__": beamline = mx_beamline() print(beamline) ### test on 10S aerotech = AerotechController(controller_ip="129.129.118.96") #aerotech.enable_motion("X") - aerotech.home_all() + #aerotech.home_all() + rw = 0.320 + ch = 0.010 + nr = 10 + tpr_s = rw / ch * 0.02 + #aerotech.run_grid_scan(cell_height_mm=ch, num_rows=nr, + # row_width_mm=rw, time_per_row_s=tpr_s) + st = time.perf_counter() + aerotech.move_motor_absolute("Z", 0, 10000) + print(f"time to move: {time.perf_counter() - st}") aerotech.disconnect() - print('initialise aerotech EPICS') + #aerotech_epics = AerotechControllerEpics(beamline) #aerotech_epics.omega.speed = 80.0 #print(aerotech_epics.get_global_variable(0, VariableTypeEnum.REAL)) From 817f244d62526080d69fab357ab5f2b4240b98c2 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 6 Feb 2026 15:56:53 +0100 Subject: [PATCH 067/144] Added a script to test autofocus, WIP --- src/aare/gui/auto_focus_test.py | 670 ++++++++++++++++++++++++++++++++ 1 file changed, 670 insertions(+) create mode 100644 src/aare/gui/auto_focus_test.py diff --git a/src/aare/gui/auto_focus_test.py b/src/aare/gui/auto_focus_test.py new file mode 100644 index 00000000..39cd3f98 --- /dev/null +++ b/src/aare/gui/auto_focus_test.py @@ -0,0 +1,670 @@ +import time +from typing import Callable, Iterable + +import cv2 +import numpy as np +from aare.common.autofocus_tools import focus_measure_edges +from aare.common.beamline import mx_beamline +from aare.common.coordinate import Coordinate, SmargonCoordinate +from aare.common.models import AutofocusSettings +from aare.daq.config import BeamlineConfig +from aare.daq.daq import AareDAQ +from aare.daq.devices import BeamlineDevices + +def make_circular_mask(shape_hw: tuple[int, int], center_x: float, center_y: float, radius: float) -> np.ndarray: + h, w = int(shape_hw[0]), int(shape_hw[1]) + y, x = np.ogrid[:h, :w] + return (x - float(center_x)) ** 2 + (y - float(center_y)) ** 2 <= float(radius) ** 2 + +def _parabola_vertex(x1, y1, x2, y2, x3, y3) -> float | None: + # Fit parabola through 3 points; return vertex x if it's a maximum. + denom = (x1 - x2) * (x1 - x3) * (x2 - x3) + if abs(denom) < 1e-15: + return None + a = (x3 * (y2 - y1) + x2 * (y1 - y3) + x1 * (y3 - y2)) / denom + b = (x3**2 * (y1 - y2) + x2**2 * (y3 - y1) + x1**2 * (y2 - y3)) / denom + if a >= 0: + return None + return float(-b / (2 * a)) + +class AutofocusController: + """ + Fast autofocus: bracket -> ternary -> optional parabola. + + You inject: + - get_gray_image(): np.ndarray (2D) + - get_frame_id(): int (UniqueId) OR None + - move_to(z): move stage to requested z (units are up to you) + - wait_for_stop(): block until motion ends + + The key speed/robustness trick is waiting for a *new frame id* after motion. + """ + def __init__( + self, + *, + get_gray_image, + focus_measure, + move_to, + wait_for_stop, + get_frame_id=None, + fps: float = 25.0, + ): + self.get_gray_image = get_gray_image + self.focus_measure = focus_measure + self.move_to = move_to + self.wait_for_stop = wait_for_stop + self.get_frame_id = get_frame_id + self.fps = float(fps) + + self._uid_stuck_count = 0 + self._uid_stuck_disable_after = 3 + + def _wait_new_frames(self, frames: int = 1, timeout_s: float = 0.12) -> bool: + """ + Wait for new frames by UniqueId. + If uid appears stuck (common in standalone tests if acquisition isn't running), + quickly fall back to a short sleep so autofocus stays fast. + """ + if self.get_frame_id is None or self._uid_stuck_count >= self._uid_stuck_disable_after: + time.sleep(max(0.0, float(frames)) / max(1e-6, self.fps)) + return True + start = int(self.get_frame_id()) + print(f"Waiting for {frames} frames (uid={start})...") + target = start + int(frames) + deadline = time.perf_counter() + float(timeout_s) + + while time.perf_counter() < deadline: + if int(self.get_frame_id()) >= target: + self._uid_stuck_count = 0 + print(f"Acquired {frames} frames (uid={target}, start={start})") + return True + time.sleep(0.001) + + # uid didn't advance in time -> count as "stuck" and fall back + print(f"UID stuck for {timeout_s} s, falling back to sleep...") + self._uid_stuck_count += 1 + time.sleep(1.0 / max(1e-6, self.fps)) + return False + + def _score_at(self, z, mask: np.ndarray | None, robust_frames: int) -> float: + st = time.perf_counter() + self.move_to(z) + print(f"move_to command to z={z:.2f} (t={time.perf_counter() - st:.5f} s)") + st = time.perf_counter() + self.wait_for_stop() + print(f"wait_for_stop command (t={time.perf_counter() - st:.5f} s)") + + # Ensure next image is not a stale buffer + print("Waiting for new frame...") + st = time.perf_counter() + self._wait_new_frames(frames=1, timeout_s=0.4) + print(f"Acquired new frame (t={time.perf_counter() - st:.5f} s)") + st = time.perf_counter() + if robust_frames <= 1: + gray = self.get_gray_image() + print(f"got grey image (t={time.perf_counter() - st:.5f} s)") + return float(self.focus_measure(gray, mask)) + + vals: list[float] = [] + for _ in range(int(robust_frames)): + gray = self.get_gray_image() + vals.append(float(self.focus_measure(gray, mask))) + self._wait_new_frames(frames=1, timeout_s=0.4) + print(f'Got values after {time.perf_counter() - st:.5f} s: {vals}') + return float(np.median(np.asarray(vals, dtype=np.float64))) + + def run_once( + self, + *, + z0: float, + z_range: float, + mask: np.ndarray | None = None, + robust_frames: int = 1, + ternary_iters: int = 4, + do_parabola: bool = True, + edge_stop: bool = True, + flat_rel_tol: float = 0.03, + ) -> tuple[float, float]: + """ + Returns (best_z, best_focus). + + edge_stop: + If True and the best bracket point is at ±0.5*z_range, stop early. + (Means the peak is likely outside the search window.) + + flat_rel_tol: + If (max-min)/max is below this, treat focus curve as flat and stop early. + """ + R = float(z_range) + + # 1) 5-point bracket + zs = np.array( + [z0 - 0.5 * R, z0 - 0.25 * R, z0, z0 + 0.25 * R, z0 + 0.5 * R], + dtype=np.float64, + ) + fs = np.array([self._score_at(float(z), mask, robust_frames) for z in zs], dtype=np.float64) + f0 = float(fs[2]) # z0 + f_max = float(fs.max()) + if f0 > 0 and (f_max / f0) < 1.05: # <5% improvement available + return float(zs[2]), f0 + + best_i = int(np.argmax(fs)) + z_best = float(zs[best_i]) + f_best = float(fs[best_i]) + + # Early exit if the curve is basically flat (no meaningful improvement) + f_min = float(fs.min()) + if f_max > 0 and (f_max - f_min) / f_max < float(flat_rel_tol): + return z_best, f_best + + # Early exit if best is at range edge: bracket does not contain a maximum + if edge_stop and (best_i == 0 or best_i == len(zs) - 1): + return z_best, f_best + + # Local bracket for ternary search + iL = max(0, best_i - 1) + iR = min(len(zs) - 1, best_i + 1) + zL, zR = float(zs[iL]), float(zs[iR]) + + sampled: dict[float, float] = {float(zs[i]): float(fs[i]) for i in range(len(zs))} + + if zL == zR: + return z_best, f_best + + # 2) ternary search in local bracket (assumes unimodal-ish) + for _ in range(int(ternary_iters)): + a, b = (zL, zR) if zL < zR else (zR, zL) + z1 = a + (b - a) / 3.0 + z2 = b - (b - a) / 3.0 + + if z1 not in sampled: + sampled[z1] = self._score_at(float(z1), mask, robust_frames) + if z2 not in sampled: + sampled[z2] = self._score_at(float(z2), mask, robust_frames) + + if sampled[z1] < sampled[z2]: + zL = z1 + else: + zR = z2 + + # 3) optional 3-point parabola around current best sample + if do_parabola and len(sampled) >= 3: + items = sorted(sampled.items(), key=lambda t: t[0]) + zz = np.array([p[0] for p in items], dtype=np.float64) + ff = np.array([p[1] for p in items], dtype=np.float64) + k = int(np.argmax(ff)) + + if 0 < k < len(zz) - 1: + zv = _parabola_vertex( + float(zz[k - 1]), float(ff[k - 1]), + float(zz[k]), float(ff[k]), + float(zz[k + 1]), float(ff[k + 1]), + ) + if zv is not None and float(zz[k - 1]) <= zv <= float(zz[k + 1]): + if zv not in sampled: + sampled[zv] = self._score_at(float(zv), mask, robust_frames) + + z_best, f_best = max(sampled.items(), key=lambda t: t[1]) + return float(z_best), float(f_best) + +def __auto_focus(settings: AutofocusSettings) -> float: + """ + Fast autofocus on Smargon Z: + - bracket (5 points) + - ternary search (few iters) + - optional parabola refine + + Returns: + Best Z offset in mm (beamline Z delta) relative to the starting position. + """ + geom = daq.sample_geometry + start_smargon = devs.smargon_pos + + # ROI center: use provided, else use beam location (beam mark) + center_x = float(settings.center_x_pxl) if settings.center_x_pxl is not None else float(geom.beam_location_pxl.x) + center_y = float(settings.center_y_pxl) if settings.center_y_pxl is not None else float(geom.beam_location_pxl.y) + radius_pxl = float(settings.radius_pxl) + + z_range_mm = float(settings.z_range_um) / 1000.0 + z_steps = int(settings.z_steps) + + # Build mask once (needs image shape) + first = daq.camera_image_gray + if first is None: + raise RuntimeError("Autofocus: no camera image available.") + if first.ndim != 2: + raise RuntimeError("Autofocus: expected grayscale image (2D).") + + #mask = make_circular_mask(first.shape[:2], center_x=center_x, center_y=center_y, radius=radius_pxl) + + height, width = first.shape + y, x = np.ogrid[:height, :width] + mask = (x - center_x) ** 2 + (y - center_y) ** 2 <= radius_pxl ** 2 + + def move_to_delta_z_mm(dz_mm: float) -> None: + # Apply relative motion in *beamline Z* via the geometry transform + sh_new = start_smargon.sh_mm + geom.smargon_nudge(Coordinate(z=float(dz_mm))) + target = SmargonCoordinate( + sh_mm=sh_new, + phi_deg=start_smargon.phi_deg, + chi_deg=start_smargon.chi_deg, + ) + devs.smargon_pos = target + + def wait_for_stop() -> None: + devs.smargon_wait(timeout=30) + + def get_gray() -> np.ndarray: + img = daq.camera_image_gray + if img is None: + raise RuntimeError("Autofocus: failed to acquire image.") + return img + + ctrl = StepwiseAutofocus( + get_gray_image=get_gray, + focus_measure=focus_measure_edges, + move_to=move_to_delta_z_mm, + wait_for_stop=wait_for_stop, + get_frame_id=devs.samcam_frame_id, + fps=25.0, + ) + + # Robustness vs speed: + # - 1 is fastest + # - 2 is more stable (median of 2 frames) and often still < 1 s total + robust_frames = 1 + + best_dz, best_f, zs, fs = ctrl.run(z0=0.0, z_range=z_range_mm, z_steps=z_steps, mask=mask, + refine=False, include_baseline=False) + + # Move to the best position (controller ends at last probed z; ensure final is best) + move_to_delta_z_mm(best_dz) + wait_for_stop() + + print( + f"Autofocus complete: best_dz={best_dz * 1000.0:.1f} um, focus={best_f:.2f}, " + f"roi_center=({center_x:.1f},{center_y:.1f}), r={radius_pxl:.1f}px" + ) + + return float(best_dz) + + # def auto_focus(self, settings: AutofocusSettings) -> float: + # """ + # Public autofocus method. Only allowed in SampleAlignment state. + # Returns best Z offset in mm (beamline Z delta) relative to start. + # """ + # self.__cfg.set_busy(BeamlineStateEnum.SampleAlignment) + # try: + # best_dz_mm = self.__auto_focus(settings) + # self.__cfg.state_busy = False + # return best_dz_mm + # except Exception as e: + # logger.error(f"Autofocus failed: {e}") + # self.__cfg.state_busy = False + # raise +class StepwiseAutofocus: + def __init__(self, *, get_gray_image, focus_measure, move_to, wait_for_stop, get_frame_id=None, fps=25.0): + self.get_gray_image = get_gray_image + self.focus_measure = focus_measure + self.move_to = move_to + self.wait_for_stop = wait_for_stop + self.get_frame_id = get_frame_id + self.fps = float(fps) + + def _wait_new_frame(self, timeout_s: float = 0.25) -> None: + if self.get_frame_id is None: + time.sleep(1.0 / max(1e-6, self.fps)) + return + start = int(self.get_frame_id()) + deadline = time.perf_counter() + float(timeout_s) + while time.perf_counter() < deadline: + if int(self.get_frame_id()) > start: + return + time.sleep(0.001) + # fallback: don't hang + time.sleep(1.0 / max(1e-6, self.fps)) + + def score_at(self, z: float, mask=None) -> float: + self.move_to(float(z)) + self.wait_for_stop() + self._wait_new_frame(timeout_s=0.25) + gray = self.get_gray_image() + return float(self.focus_measure(gray, mask)) + + def run( + self, + *, + z0: float, + z_range: float, + z_steps: int, + mask=None, + refine: bool = False, + include_baseline: bool = False, + ) -> tuple[float, float, np.ndarray, np.ndarray]: + """ + Returns: + (best_z, best_focus, z_positions, focus_values) + + If include_baseline=False and refine=False, this will evaluate focus exactly `z_steps` times. + """ + z_steps = int(z_steps) + if z_steps < 3: + raise ValueError("z_steps must be >= 3 for a meaningful scan.") + + if include_baseline: + _ = self.score_at(float(z0), mask=mask) + + zs = np.linspace(z0 - 0.5 * float(z_range), z0 + 0.5 * float(z_range), z_steps, dtype=np.float64) + fs = np.empty_like(zs) + + for i, z in enumerate(zs): + fs[i] = self.score_at(float(z), mask=mask) + + best_i = int(np.argmax(fs)) + best_z = float(zs[best_i]) + best_f = float(fs[best_i]) + + if refine and 0 < best_i < (len(zs) - 1): + dz = float(zs[best_i + 1] - zs[best_i]) + z_candidates = np.array([best_z - dz, best_z, best_z + dz], dtype=np.float64) + f_candidates = np.array([self.score_at(float(zc), mask=mask) for zc in z_candidates], dtype=np.float64) + j = int(np.argmax(f_candidates)) + best_z = float(z_candidates[j]) + best_f = float(f_candidates[j]) + + return best_z, best_f, zs, fs + +def __auto_focus_with_aerotech(settings: AutofocusSettings) -> float: + """ + 1) Fast focus scan on Aerotech GMZ (true focus axis) + 2) Return GMZ to home position + 3) Apply one Smargon move to preserve the focus (using a local Jacobian estimate) + + Returns: + Smargon delta (in the same "beamline z command" units you use in geom.smargon_nudge(Coordinate(z=...))). + """ + geom = daq.sample_geometry + start_smargon = devs.smargon_pos + + center_x = float(geom.beam_location_pxl.x) + center_y = float(geom.beam_location_pxl.y) + radius_pxl = float(settings.radius_pxl) + + z_range_mm = float(settings.z_range_um) / 1000.0 + z_steps = int(settings.z_steps) + + def get_gray() -> np.ndarray: + """ + Match GUI pipeline: + - if Bayer: debayer -> RGB + - flip horizontally + - convert to gray (uint8) + """ + img = daq.camera_image # <-- NOTE: use raw, not camera_image_gray + if img is None: + raise RuntimeError("Autofocus: failed to acquire image.") + + # If already grayscale + if img.ndim == 2: + bayer = img.astype(np.uint8, copy=False) + rgb = cv2.cvtColor(bayer, cv2.COLOR_BAYER_GB2RGB) + rgb = rgb[:, ::-1, :].copy() + gray = cv2.cvtColor(rgb, cv2.COLOR_RGB2GRAY) + return gray + + # If RGB-like + if img.ndim == 3 and img.shape[2] >= 3: + rgb = img[:, :, :3] + rgb = rgb[:, ::-1, :].copy() + if rgb.dtype != np.uint8: + rgb = np.clip(rgb, 0, 255).astype(np.uint8) + gray = cv2.cvtColor(rgb, cv2.COLOR_RGB2GRAY) + return gray + + raise RuntimeError(f"Autofocus: unexpected image shape {img.shape}") + + + first = get_gray() + print(first.shape[:2]) + print(center_x, center_y, radius_pxl) + print((first.shape[1]-1) - center_x) + if first is None or first.ndim != 2: + raise RuntimeError("Autofocus: no grayscale image available.") + mask = make_circular_mask(first.shape[:2], center_x=center_x, center_y=center_y, radius=radius_pxl) + + def score_focus() -> float: + gray = get_gray() + + # Ensure we're comparing apples-to-apples in logs + g = gray + if g.dtype != np.uint8: + g_u8 = np.clip(g, 0, 255).astype(np.uint8) + else: + g_u8 = g + + roi = g_u8[mask] + mean_dn = float(roi.mean()) if roi.size else 0.0 + std_dn = float(roi.std()) if roi.size else 0.0 + + raw = float(focus_measure_edges(g_u8, mask)) + + # Normalize to reduce exposure/gain dependence (gradient energy scales ~ intensity^2) + norm = raw / ((mean_dn + 1e-6) ** 2) + + print(f"AF: mean={mean_dn:.1f} std={std_dn:.1f} raw_focus={raw:.2f} norm_focus={norm:.6f}") + return norm + + # --------- + # A) Aerotech GMZ scan (relative to current GMZ = "home" for this autofocus call) + # --------- + aero0 = devs.aerotech_pos + gmz0 = float(aero0.z) + + gmz_offsets = np.linspace(-0.5 * z_range_mm, 0.5 * z_range_mm, z_steps, dtype=np.float64) + gmz_scores = [] + + for dz in gmz_offsets: + devs.aerotech.move_motor_linear("Z", gmz0 + float(dz), 10) + # wait 1 new frame after motion so we don't score an old buffer + start_uid = devs.samcam_frame_id() + t_deadline = time.perf_counter() + 0.25 + while time.perf_counter() < t_deadline and devs.samcam_frame_id() == start_uid: + time.sleep(0.001) + gmz_scores.append(score_focus()) + + gmz_scores = np.asarray(gmz_scores, dtype=np.float64) + best_i = int(np.argmax(gmz_scores)) + best_gmz_offset = float(gmz_offsets[best_i]) + best_focus = float(gmz_scores[best_i]) + + # Move GMZ back to "home" (gmz0) + devs.aerotech.move_motor_absolute("Z", gmz0, 10000) + + # If best was ~0 anyway, nothing to bake in + if abs(best_gmz_offset) < 1e-6: + print(f"Aerotech prefocus: best_gmz_offset≈0, focus={best_focus:.2f}") + return 0.0 + + # --------- + # B) Estimate local Jacobian: how Aerotech GMZ changes per unit Smargon beamline-z command + # We do two probe moves in the Smargon command space and measure GMZ readback. + # --------- + def move_smargon_beamline_dz(dz_mm: float) -> None: + sh_new = start_smargon.sh_mm + geom.smargon_nudge(Coordinate(z=float(dz_mm))) + target = SmargonCoordinate( + sh_mm=sh_new, + phi_deg=start_smargon.phi_deg, + chi_deg=start_smargon.chi_deg, + ) + devs.smargon_pos = target + devs.smargon_wait(timeout=30) + + move_smargon_beamline_dz(best_gmz_offset) + + print( + f"Aerotech prefocus: best_gmz_offset={best_gmz_offset*1000} um, focus={best_focus:.2f} " + f"Smargon_start: {start_smargon.sh_mm} um, Smargon_end: {devs.smargon_pos.sh_mm} um" + ) + return float(best_gmz_offset) + +def focus_measure_laplacian(gray: np.ndarray, mask: np.ndarray | None = None) -> float: + """ + Fast focus metric: variance of Laplacian. + + Notes: + - Works best on uint8 images. + - Use a mask/ROI to avoid scoring irrelevant background. + """ + if gray is None: + return 0.0 + if gray.ndim != 2: + raise ValueError(f"Expected 2D grayscale image, got shape={gray.shape}") + + g = gray + if g.dtype != np.uint8: + g = np.clip(g, 0, 255).astype(np.uint8) + + if mask is not None: + roi = g[mask] + if roi.size < 64: # too few pixels -> unstable variance + return 0.0 + # Laplacian needs 2D input; reshape ROI to a thin image is awkward. + # Better: compute Laplacian on full image and then mask the result. + lap = cv2.Laplacian(g, cv2.CV_64F, ksize=3) + v = float(lap[mask].var()) + return v + + lap = cv2.Laplacian(g, cv2.CV_64F, ksize=3) + return float(lap.var()) + + +def _wait_for_new_uid( + get_frame_id: Callable[[], int] | None, + last_uid: int | None, + *, + frames: int = 1, + timeout_s: float = 0.30, + poll_s: float = 0.002, + fallback_sleep_s: float = 0.04, +) -> int | None: + """ + Wait until UniqueId advances by `frames`. + Returns the new uid (or last_uid if we couldn't observe advancement). + """ + if get_frame_id is None: + time.sleep(fallback_sleep_s) + return last_uid + + try: + uid0 = int(get_frame_id()) if last_uid is None else int(last_uid) + except Exception: + time.sleep(fallback_sleep_s) + return last_uid + + target = uid0 + int(frames) + deadline = time.perf_counter() + float(timeout_s) + + while time.perf_counter() < deadline: + try: + uid = int(get_frame_id()) + except Exception: + uid = uid0 + + if uid >= target: + return uid + + time.sleep(poll_s) + + # Timeout: don't hang autofocus; just do a small sleep to reduce stale-buffer chance. + time.sleep(fallback_sleep_s) + return uid0 + + +def autofocus_gpt( + z_positions: Iterable[float], + move_stage_fn: Callable[[float], None], + *, + get_frame_id: Callable[[], int] | None = None, + wait_for_stop: Callable[[], None] | None = None, + mask: np.ndarray | None = None, + robust_frames: int = 1, +) -> tuple[float, list[tuple[float, float]]]: + """ + Simple autofocus scan with reliability improvements: + - waits for a new UniqueId after motion (avoids scoring stale frames) + - optional median-of-N scoring per z + """ + measures: list[tuple[float, float]] = [] + last_uid: int | None = None + + # Prime last_uid so the first point also waits for a "fresh" frame + if get_frame_id is not None: + try: + last_uid = int(get_frame_id()) + except Exception: + last_uid = None + + for z in z_positions: + move_stage_fn(float(z)) + if wait_for_stop is not None: + wait_for_stop() + + # Wait for camera to deliver a frame AFTER the move + last_uid = _wait_for_new_uid(get_frame_id, last_uid, frames=1, timeout_s=0.35) + + if robust_frames <= 1: + img = daq.camera_image_gray + score = focus_measure_laplacian(img, mask=mask) + else: + vals: list[float] = [] + for _ in range(int(robust_frames)): + img = daq.camera_image_gray + vals.append(focus_measure_laplacian(img, mask=mask)) + last_uid = _wait_for_new_uid(get_frame_id, last_uid, frames=1, timeout_s=0.35) + score = float(np.median(np.asarray(vals, dtype=np.float64))) + + measures.append((float(z), float(score))) + print(f"Z={z:.6f}, sharpness={score:.3f}") + + best_z = max(measures, key=lambda x: x[1])[0] + return best_z, measures + +# ---- Example z positions ---- +coarse = np.linspace(-0.1, 0.1, 10) # 0 to 200 microns in 10µm steps + +def move_stage(z): + # Insert your hardware code here: + print(z) + devs.aerotech.move_motor_absolute("Z", z, 1000) + #devs.aerotech.controller.read_status() + # e.g. serial.write(f"MOVE Z {z}") + + +def get_frame_id(): + return int(devs.samcam_frame_id()) + +if __name__ == "__main__": + devs = BeamlineDevices(mx_beamline()) + cfg = BeamlineConfig(mx_beamline()) + daq = AareDAQ(cfg, bl=mx_beamline()) + zoom = devs.zoom + beam_center = cfg.get_beam_mark(zoom) + settings = AutofocusSettings(center_x_pxl=beam_center[0], center_y_pxl=beam_center[1], + radius_pxl=30, z_range_um=400, z_steps=40) + st = time.perf_counter() + best_z, curve = autofocus_gpt(coarse, move_stage, get_frame_id=get_frame_id) + move_stage(0) + #move_stage(best_z) + geom = daq.sample_geometry + start_smargon = devs.smargon_pos + + sh_new = start_smargon.sh_mm + geom.smargon_nudge(Coordinate(z=float(best_z))) + target = SmargonCoordinate( + sh_mm=sh_new, + phi_deg=start_smargon.phi_deg, + chi_deg=start_smargon.chi_deg, + ) + devs.smargon_pos = target + devs.smargon_wait(timeout=30) + print("Best focus at:", best_z) + print(f"Total time: {time.perf_counter() - st:.5f} s") \ No newline at end of file From 1fd9988a2f3978b07278a8988ce6ea95cf0c337d Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 6 Feb 2026 15:57:29 +0100 Subject: [PATCH 068/144] BEC: further testing, added import for the ipython client, haven't tested yet --- src/aare/devices/bec_worker.py | 43 +++++++++++++++++++++++++++------- 1 file changed, 34 insertions(+), 9 deletions(-) diff --git a/src/aare/devices/bec_worker.py b/src/aare/devices/bec_worker.py index ed88ac29..164bae2e 100644 --- a/src/aare/devices/bec_worker.py +++ b/src/aare/devices/bec_worker.py @@ -1,7 +1,9 @@ from bec_lib.client import BECClient +from bec_ipython_client import BECIPythonClient from bec_lib.service_config import ServiceConfig from bec_lib.procedures.helper import FrontendProcedureHelper, BackendProcedureHelper + #specify up to 10 queue to runs in parallel, request more if needed! # st = client.proc.request_new("sleep", ((), {"time_s":5}), queue="test") @@ -69,8 +71,16 @@ class BECClientWorker: self.scans.umv(self.dev.blight_pos, 1, relative=False) self.scans.umv(self.dev.bs_pos, 1, relative = False) - # def a2e_runner(self, a, *hkl): - # return a2e(a, *hkl) + def a2e_runner(self, a, *hkl): + return a2e(a, *hkl) + + def mono_pitch_scan_runner(self): + print('this is a print statement from inside DAQ not BEC') + try: + self.macros.mono_pitch_scan(False) + except Exception as e: + print(f"Error: {e}") + if __name__ == "__main__": import time @@ -79,14 +89,29 @@ if __name__ == "__main__": client.show_all_devices() client.list_all_macros() try: - #a=client.a2e_runner(160, "iln") - #print(a) + # a=client.a2e_runner(160, "iln") + # print(a) + # print(convert_from_energy(12)) + # energy = get_current_energy() + # pos = get_dcm_motors_positions(energy) + # print(energy, pos) + #init_positioned_devices() + #PD.xeye_x.mvout() + #client.scans.umv(client.dev.xeye_x, 0, relative=False) + client.mono_pitch_scan_runner() + #client.mono_pitch_scan_runner() #b=client.run_macro_blocked("a2e", 160, "iln", queue="test") - #b = client.run_macro_blocked("mono_pitch_scan", False, queue="test") - client.rse2sa() - time.sleep(10.0) - client.common2rse() - #print(b) + #b = client.run_macro_blocked("mono_pitch_scan", False, queue="default") + + #status = client.mono_pitch_scan_runner + #print(status) + + #client.rse2sa() + #time.sleep(10.0) + #time.sleep(10.0) + #print(status) + #client.common2rse() + #print(status) except Exception as e: print(f"Error: {e}") client.shutdown_client() From e1866c008519499305b7a679599307d2991223e9 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 6 Feb 2026 15:58:00 +0100 Subject: [PATCH 069/144] Common: added aerotech coordinate model for using smargon to interface aerotech --- src/aare/common/coordinate.py | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/src/aare/common/coordinate.py b/src/aare/common/coordinate.py index edbdebc4..76da6e25 100644 --- a/src/aare/common/coordinate.py +++ b/src/aare/common/coordinate.py @@ -102,3 +102,21 @@ def positive_coords(value: Coordinate) -> Coordinate: if value.x <= 0 or value.y <= 0: raise ValueError("Coordinates must be positive") return value + + +class AerotechCoordinate(BaseModel): + at_mm: Optional[Coordinate] = None + omega_deg: Optional[float] = None + + def eq(self, other: "AerotechCoordinate", tol: float) -> bool: + return ( + abs(self.at_mm.x - other.at_mm.x) < tol + and abs(self.at_mm.y - other.at_mm.y) < tol + and abs(self.at_mm.z - other.at_mm.z) < tol + and abs(self.omega_deg - other.omega_deg) < tol + ) + + def __eq__(self, other: object) -> bool: + if isinstance(other, AerotechCoordinate): + return self.eq(other, tol=0.01) + return NotImplemented \ No newline at end of file From 7fb1c6167775dd6aea0f111eacebcf0206002603 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 6 Feb 2026 15:58:29 +0100 Subject: [PATCH 070/144] DAQ: tempoary raster function for SAS-TT school demo --- src/aare/daq/daq.py | 28 +++++++++++++++++++++++++--- 1 file changed, 25 insertions(+), 3 deletions(-) diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index 48cebba1..b3feea28 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -583,8 +583,29 @@ class AareDAQ: return None - def __raster(self, r: RasterGridRequest) -> CompletedRasterGridElem: + def __raster(self, r: RasterGridRequest):# -> CompletedRasterGridElem: + max_time = r.exp_time_s * r.n_x * r.n_y + 60 + row_time = r.exp_time_s * r.n_x + row_width_mm = r.grid_size_mm.x * r.n_x + self.__set_state(BeamlineStateEnum.DataCollection) + save_smargon_position = self.__devs.smargon_pos + if r.smargon_top_left is not None: + delta_mm = self.sample_geometry.smargon_nudge(Coordinate(x=r.grid_size_mm.x / 2, y=r.grid_size_mm.y / 2)) + self.__devs.set_smargon_pos(SmargonCoordinate(sh_mm=r.smargon_top_left.sh_mm + delta_mm, + phi_deg=r.smargon_top_left.phi_deg, + chi_deg=r.smargon_top_left.chi_deg)) + self.__devs.aerotech_omega = r.omega_deg + self.__devs.smargon_wait(timeout=180) + status = self.status + print(f"raster status {status}") + print(f'raster grid request: {r}') + #self.__jfjoch.measure_raster(r, status) + self.__devs.aerotech.run_grid_scan(cell_height_mm=r.grid_size_mm.y, num_rows=r.n_x, + row_width_mm=row_width_mm, time_per_row_s=row_time, task_id=3) + self.__devs.aerotech_pos = self.__cfg.abr_meas_pos + #result = self.__jfjoch.wait_till_done(60) return None + #return CompletedRasterGridElem(request=copy.deepcopy(r), result=, centre_of_mass=None) def measure_raster(self, r: RasterGridRequest, auto: bool) -> CompletedRasterGrid: self.__cfg.try_set_busy(timeout=ceil(360)) @@ -593,10 +614,11 @@ class AareDAQ: result = self.__auto_center(r) else: raster_result = self.__raster(r) - result = CompletedRasterGrid(r=[raster_result]) + #result = CompletedRasterGrid(r=[raster_result]) self.__set_state(BeamlineStateEnum.SampleAlignment) self.__cfg.state_busy = False - return result + return CompletedRasterGrid(r=[]) + #return result except Exception as e: try: self.__aare.axc_failed(self.sample) From 6b47ceec5b980eed36c17f6fd4abc6c2e5756324 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 6 Feb 2026 15:59:11 +0100 Subject: [PATCH 071/144] DAQ: refactord enum pv and setgetpv, added prederfined PV --- src/aare/daq/devices.py | 73 ++++++++++++++------ src/aare/devices/enum_pv.py | 107 +++++++---------------------- src/aare/devices/mx_lib.py | 3 +- src/aare/devices/set_get_pv.py | 122 +++++++++++++-------------------- 4 files changed, 127 insertions(+), 178 deletions(-) diff --git a/src/aare/daq/devices.py b/src/aare/daq/devices.py index 7fd1f071..201e36c8 100644 --- a/src/aare/daq/devices.py +++ b/src/aare/daq/devices.py @@ -17,10 +17,10 @@ from aare.common.coordinate import Coordinate, SmargonCoordinate from aare.common.models import SampleCameraSettings, StagePositionEnum from aare.devices import smargon, aerotech from aare.devices.area_detector import epicsAD, AutoEnum -from aare.devices.enum_pv import EnumPv +from aare.devices.enum_pv import EnumPV from aare.devices.my_motor import MyMotor -from aare.devices.set_get_pv import SetGetPV +from aare.devices.set_get_pv import SetGetPV, PredefinedPV from aare.devices.tell_client import TellClient class BeamlineDevices: @@ -28,6 +28,7 @@ class BeamlineDevices: BEAMLINE = beamline.value.upper() self.tell = TellClient(beamline) self.__aerotech = aerotech.AerotechControllerEpics(beamline) + self.aerotech = aerotech.AerotechController(controller_ip="129.129.118.96") self.__smargon = smargon.Smargon(beamline) self.__ring_current_pv = PV(f"ARS07-DPCT-0100:CURR") @@ -36,19 +37,35 @@ class BeamlineDevices: self.__sample_cam = epicsAD(f"{BEAMLINE}-SAMCAM:") - self.__front_light = PV(f"{BEAMLINE}-ES-FL:SET") - self.__back_light = PV(f"{BEAMLINE}-ES-BL:SET") + self.__front_light = PredefinedPV(name='front_light', + setpv="{BEAMLINE}-ES-FL:SET", + getpv="{BEAMLINE}-ES-FL:GET", + predefs={"off":1.49, + 'half':2.0, + 'max':3.0}, + timeout=10.0 + ) + self.__back_light = PredefinedPV(name='back_light', + setpv ="{BEAMLINE}-ES-BL:SET", + getpv="{BEAMLINE}-ES-BL:GET", + predefs={"off": 0, + 'half': 0.98, + 'max': 1.2}, + timeout=10.0 + ) - self.__back_light_pos = EnumPv(pv_name = f"{BEAMLINE}-ES-BL:POS-SET", - rbv_name = f"{BEAMLINE}-ES-BL:POS-GET", + self.__back_light_pos = EnumPV(name = "back_light_pos", + setpv = f"{BEAMLINE}-ES-BL:POS-SET", + getpv = f"{BEAMLINE}-ES-BL:POS-GET", timeout = 10.0) self.__collimator_pos = PV(f"{BEAMLINE}-ES-COL:TRY") # HOW TO HANDLE!!! self.__scintillator_pos = PV(f"{BEAMLINE}-ES-SCL:TRY") # how to handle!!! - self.__beamstop_pos = EnumPv(pv_name = f"{BEAMLINE}-ES-BS:POS-SET", - rbv_name = f"{BEAMLINE}-ES-BS:POS-GET", + self.__beamstop_pos = EnumPV(name = "beamstop_pos", + setpv = f"{BEAMLINE}-ES-BS:POS-SET", + getpv = f"{BEAMLINE}-ES-BS:POS-GET", timeout = 10.0) @@ -57,8 +74,9 @@ class BeamlineDevices: setpv = f"{BEAMLINE}-ES-SAMCAM:ZOOM.VAL", getpv = f"{BEAMLINE}-ES-SAMCAM:ZOOM.RBV") - self.__cryojet_pos = EnumPv(pv_name = f"{BEAMLINE}-ES-CJ:POS-SET", - rbv_name = f"{BEAMLINE}-ES-CJ:POS-GET", + self.__cryojet_pos = EnumPV(name='cryojet_pos', + setpv = f"{BEAMLINE}-ES-CJ:POS-SET", + getpv = f"{BEAMLINE}-ES-CJ:POS-GET", timeout = 10.0) @@ -77,26 +95,26 @@ class BeamlineDevices: # Lamp light @property def lamp_light(self) -> float: - return self.__front_light.get() + return self.__front_light.value @lamp_light.setter def lamp_light(self, v: float): self.set_front_light(v, wait=False) def set_front_light(self, v: float, /, wait: bool = True): - self.__front_light.put(v, wait=wait) + self.__front_light.move(v, wait=wait) # Back light @property def back_light(self) -> float: - return self.__back_light.get() + return self.__back_light.value @back_light.setter def back_light(self, v: float): self.set_back_light(v, wait=False) def set_back_light(self, v: float, /, wait: bool = True): - self.__back_light.put(v, wait=wait) + self.__back_light.move(v, wait=wait) # Zoom @property @@ -108,7 +126,7 @@ class BeamlineDevices: self.set_zoom(value, wait=True) def set_zoom(self, value: float, /, wait: bool = True): - self.__zoom.put(value, wait=wait) + self.__zoom.move(value, wait=wait) # Collimator @property @@ -120,7 +138,7 @@ class BeamlineDevices: self.set_collimator(value, wait=True) def set_collimator(self, value: float, /, wait: bool = True): - self.__collimator_pos.put(value, wait=wait) + self.__collimator_pos.move(value, wait=wait) # Scintillator @property @@ -144,7 +162,7 @@ class BeamlineDevices: self.set_reflector_up(value, wait=True) def set_reflector_up(self, value: StagePositionEnum, /, wait: bool = True): - self.__back_light_pos.put(value, wait=wait) + self.__back_light_pos.move(value, wait=wait) # Beamstop @property @@ -197,7 +215,7 @@ class BeamlineDevices: self.cryojet_pos_setter(value, wait=True) def cryojet_pos_setter(self, value: StagePositionEnum, wait:bool=False): - self.__cryojet_pos.put(value, wait=wait) + self.__cryojet_pos.move(value, wait=wait) # Shutter @property @@ -226,6 +244,14 @@ class BeamlineDevices: def samcam_auto(self, state: AutoEnum): self.__sample_cam.set_auto(state) + def samcam_frame_id(self) -> int: + """ + Camera UniqueId for the last produced frame (monotonic counter from AreaDetector). + """ + return int(self.__sample_cam.uid.get()) + + + # Detector Z @property def dtz(self) -> float: @@ -302,11 +328,16 @@ class BeamlineDevices: def smargon_move_home(self): self.__smargon.move_home(wait=True) + def smargon_aerotech_wait(self): + self.__smargon.wait_aerotech(timeout=10.0) + if __name__ == "__main__": from aare.common.beamline import mx_beamline beamline = mx_beamline() devs = BeamlineDevices(beamline) print(devs.aerotech_pos) - devs.aerotech_pos = Coordinate(x=124.0, y=1.0, z=1.0) - print(devs.aerotech_pos) - devs.aerotech_omega = 0.0 \ No newline at end of file + # devs.aerotech_pos = Coordinate(x=124.0, y=1.0, z=1.0) + # print(devs.aerotech_pos) + # devs.aerotech_omega = 0.0 + print(devs.reflector_up) + devs.reflector_up = StagePositionEnum.MEASURE \ No newline at end of file diff --git a/src/aare/devices/enum_pv.py b/src/aare/devices/enum_pv.py index 1eb0aac2..118fe26f 100755 --- a/src/aare/devices/enum_pv.py +++ b/src/aare/devices/enum_pv.py @@ -1,92 +1,35 @@ -import time from enum import Enum -from typing import Union, Optional -from epics import PV, Motor, poll +from typing import Any -from aare.devices.set_get_pv import SetGetPV +from aare.devices.set_get_pv import SetGetPV, MoveResult - -class ValueWaitTimeout(Exception): - """Raised when a PV fails to reach a target value within the timeout period.""" - pass - -class EnumPv(SetGetPV): - """create a class that combines a setter PV and readback PV into a single object. - i.e. self.__back_light_pos = EnumPv(pv_name = f"{BEAMLINE}-ES-BL:POS-SET", - rbv_name=f"{BEAMLINE}-ES-BL:POS-GET", - timeout=10.0) - """ - def __init__(self, pv_name: str, - rbv_name: Optional[str] = None, - timeout: float = 60.0): - """Initialize the EnumPv object. - :param pv_name: The name of the control PV. - :param rbv_name: The name of the readback PV. If not provided, defaults to the control PV. - :param timeout: The timeout for waiting for the readback to reach a target value. - """ - self.control = PV(pv_name) - # If no readback is provided, assume the control PV reflects its own state - self.readback = PV(rbv_name) if rbv_name else self.control - self.timeout = timeout - - # Verify these are actually enums - if not self.control.enum_strs: - raise RuntimeError(f"{pv_name} is not an ENUM PV") +class EnumPV(SetGetPV): + def __init__(self, name: str, setpv: str, getpv: str, **kwargs): + super().__init__(name, setpv, getpv, **kwargs) + if not self.setpoint_pv.enum_strs: + raise RuntimeError(f"{setpv} is not an ENUM PV") @property def position(self) -> str: - """Returns the current string value of the readback.""" - return self.readback.get(as_string=True) + return self.readback_pv.get(as_string=True) - def get(self) -> int: - """Returns the current integer index of the readback.""" - return int(self.readback.get()) + def _resolve(self, x: Any) -> MoveResult: + # accept Enum member + if isinstance(x, Enum): + x = x.name - def put(self, value: Union[str, int, Enum], wait: bool = False, - timeout: float = 30.0, polling: float = 0.1, tolerance: float | None = None): - """ - Set the PV value. - Accepts string names, integer indices, or Python Enum members. - """ - # Extract value if a Python Enum was passed - name = value.name if isinstance(value, Enum) else value + # accept index + if isinstance(x, int): + try: + return MoveResult(target=self.setpoint_pv.enum_strs[x], name=None) + except Exception as e: + raise ValueError(f"Bad enum index {x}") from e - try: - val_to_put = next(s for s in self.control.enum_strs - if s.upper() == name.upper()) - except StopIteration: - raise ValueError(f"'{name}' not found in PV enums: {self.control.enum_strs}") + # accept name -> match against enum strings (case-insensitive) + if isinstance(x, str): + for s in self.setpoint_pv.enum_strs: + if s.strip().lower() == x.strip().lower(): + return MoveResult(target=s, name=s) + raise ValueError(f"'{x}' not in {list(self.setpoint_pv.enum_strs)}") - self.control.put(val_to_put) - - if wait: - self.wait(val_to_put) - - def wait(self, target: Union[str, int, Enum],timeout: float = 30.0, - polling: float = 0.1, tolerance: float | None = None): - """Blocks until the readback matches the target value.""" - # Convert Enum or name to the format pv_wait expects - wait_val = target.name if isinstance(target, Enum) else target - - try: - start_time = time.monotonic() - end_time = start_time + timeout - while time.monotonic() < end_time: - current = self.readback.get(as_string=True) - if current is not None: - if isinstance(target, str): - if str(current).strip().lower() == target.strip().lower(): - return - elif isinstance(target, (int, float)): - if tolerance is None: - # Default tolerance based on PV precision - prec = getattr(self.readback, 'precision', 3) or 3 - tolerance = 10 ** -prec - if abs(float(current) - float(target)) <= tolerance: - return - - poll(polling) - final_val = self.readback.get(as_string=isinstance(target, str)) - raise ValueWaitTimeout(f"PV {self.readback.pvname} timeout. Target: {target}, Current: {final_val}") - except Exception as e: - raise ValueWaitTimeout(f"Timed out waiting for {self.readback.pvname} to reach {wait_val}") from e \ No newline at end of file + raise TypeError(f"Unsupported enum command type: {type(x).__name__}") \ No newline at end of file diff --git a/src/aare/devices/mx_lib.py b/src/aare/devices/mx_lib.py index 9a0e30cc..ead6dd85 100644 --- a/src/aare/devices/mx_lib.py +++ b/src/aare/devices/mx_lib.py @@ -248,4 +248,5 @@ def wait_enum_condition(pv: PV, value: Union[str, int, re.Pattern], *, timeout: poll(polling) if time.time() > tout: - raise TimeoutError(f"timeout waiting for enum {pv.pvname} == {value}") + raise TimeoutError(f"timeout waiting for enum {pv.pvname} == {value}," + f"current value is {pv.get(as_string=True)}") diff --git a/src/aare/devices/set_get_pv.py b/src/aare/devices/set_get_pv.py index 1e31cc7e..c3784fe2 100644 --- a/src/aare/devices/set_get_pv.py +++ b/src/aare/devices/set_get_pv.py @@ -1,92 +1,66 @@ -import time -from typing import Any, Dict, Optional, Union -from epics import PV, poll +from __future__ import annotations -from aare.common.beamline import MXBeamline +from dataclasses import dataclass +from typing import Any, Mapping, Optional, Union, Callable + +from epics import PV, poll from aare.devices.mx_lib import pv_wait +RawValue = Union[str, float, int] +ResolverValue = Union[ + RawValue, + tuple[Callable[..., RawValue], tuple[Any, ...]], # (func, args) pattern you already use +] + +@dataclass +class MoveResult: + target: RawValue + name: Optional[str] = None + class SetGetPV: - """ - A wrapper for EPICS PVs that have separate setpoint and readback PVs. - Similar to EnumPv but supports arbitrary numeric or string types and predefined positions. - - """ - - def __init__( - self, - name: str, - setpv: str, - getpv: str, - ): + def __init__(self, name: str, setpv: str, getpv: str, *, timeout: float = 60.0, tolerance: float | None = None): self.name = name self.setpoint_pv = PV(setpv) self.readback_pv = PV(getpv) + self.default_timeout = timeout + self.tolerance = tolerance + self._last_target: RawValue | None = None @property - def value(self): + def value(self) -> Any: return self.readback_pv.get() - @property - def position(self): - return self.value - - def put(self, value: Union[str, float], wait : bool=False): - self.setpoint_pv.put(value, wait=wait) - - def __repr__(self): - return f"<{self.__class__.__name__} '{self.name}' at {self.value}>" - -class PredefinedPV(SetGetPV): - - def __init__(self, name: str, setpv: str, getpv: str, predefined_values: Dict[str, Any], - timeout: float = 60.0, tolerance: Optional[float] = None): - - super().__init__(name=name, setpv=setpv,getpv=getpv) - - self._predefs = predefined_values or {} - self.positions = list(self._predefs.keys()) - self._target_pos: Optional[Any] = None - self.tolerance = tolerance - self.default_timeout = timeout - - def get_predefined_name(self) -> str: - """Returns the name of the predefined position if current position matches one.""" - current = self.position - for name, val in self._predefs.items(): - # Handle callable predefs (like offsets) - target = val[0](*val[1]) if isinstance(val, tuple) and callable(val[0]) else val - - # Use a small tolerance for floats if not provided - tol = self.tolerance if self.tolerance is not None else 0.1 - try: - if abs(current - target) < tol: - return name - except (TypeError, ValueError): - if current == target: - return name - return "unknown" - - def move(self, pos: Union[str, float, int], wait: bool = False, timeout: Optional[float] = None): - """ - Move to a position. - 'pos' can be a raw value or a key from the predefs dictionary. - """ - # Resolve predefined position - target = self._predefs.get(pos, pos) - if isinstance(target, tuple) and callable(target[0]): - target = target[0](*target[1]) - - self._target_pos = target - self.setpoint_pv.put(target) + def _resolve(self, x: Any) -> MoveResult: + # Default: treat input as raw value + return MoveResult(target=x, name=None) + def move(self, x: Any, *, wait: bool = False, timeout: float | None = None) -> MoveResult: + res = self._resolve(x) + self._last_target = res.target + self.setpoint_pv.put(res.target) if wait: self.wait(timeout=timeout) + return res - def wait(self, timeout: Optional[float] = None): - """Wait for the readback to match the last commanded target position.""" - if self._target_pos is None: + def wait(self, *, timeout: float | None = None): + if self._last_target is None: return + pv_wait(self.readback_pv, self._last_target, timeout=timeout or self.default_timeout, tolerance=self.tolerance) - tout = timeout or self.default_timeout - pv_wait(self.readback_pv, self._target_pos, timeout=tout, tolerance=self.tolerance) \ No newline at end of file +class PredefinedPV(SetGetPV): + def __init__(self, name: str, setpv: str, getpv: str, predefs: Mapping[str, ResolverValue], **kwargs): + super().__init__(name, setpv, getpv, **kwargs) + self._predefs = dict(predefs) + + @property + def positions(self) -> list[str]: + return list(self._predefs.keys()) + + def _resolve(self, x: Any) -> MoveResult: + if isinstance(x, str) and x in self._predefs: + v = self._predefs[x] + if isinstance(v, tuple) and callable(v[0]): + v = v[0](*v[1]) + return MoveResult(target=v, name=x) + return MoveResult(target=x, name=None) From 94ebfd7001974703ad708f1308d754c5bfd9c805 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 6 Feb 2026 15:59:27 +0100 Subject: [PATCH 072/144] DAQ: smargon, added aerotech functionality --- src/aare/devices/smargon.py | 63 +++++++++++++++++++++++++++++++++++-- 1 file changed, 61 insertions(+), 2 deletions(-) diff --git a/src/aare/devices/smargon.py b/src/aare/devices/smargon.py index 80361e08..adb99f4c 100644 --- a/src/aare/devices/smargon.py +++ b/src/aare/devices/smargon.py @@ -4,7 +4,7 @@ from time import sleep, time import requests from aare.common.beamline import MXBeamline -from aare.common.coordinate import SmargonCoordinate, Coordinate +from aare.common.coordinate import SmargonCoordinate, Coordinate, AerotechCoordinate class SmargonMode(Enum): @@ -18,6 +18,7 @@ class Smargon(object): SMARGON_HOME = SmargonCoordinate( sh_mm=Coordinate(x=0, y=0, z=18), phi_deg=0, chi_deg=0 ) + AERO_HOME = AerotechCoordinate(x=18, y=0, z=0, omega=0) def __init__(self, bl: MXBeamline): if bl == MXBeamline.X06DA: @@ -29,6 +30,7 @@ class Smargon(object): elif bl == MXBeamline.SIMULATED: self.__simulated = True self.__pos = self.SMARGON_HOME + self.__pos_aero = self.AERO_HOME else: raise Exception("unknown beamline") @@ -94,12 +96,21 @@ class Smargon(object): chi_deg=scs["CHI"], ) + @property + def readback_aerotech(self) -> AerotechCoordinate: + if self.__simulated: + return self.__pos_aero + + acs = self.gonget("readbackAEROTECH") + return AerotechCoordinate(at_mm = Coordinate(x=acs["GMX"], y = acs["GMY"], z = acs["GMZ"]), + omega_deg = acs["GMU"]) + @property def target(self) -> SmargonCoordinate: if self.__simulated: return self.__pos - scs = self.gonget("targetSCS") + scs = self.gonget("targetSCS") #targetAEROTECH, #targetOMEGA return SmargonCoordinate( sh_mm=Coordinate(x=scs["SHX"], y=scs["SHY"], z=scs["SHZ"]), phi_deg=scs["PHI"], @@ -124,6 +135,32 @@ class Smargon(object): if target_string: self.gonput(f"targetSCS?{target_string}") + @property + def target_aerotech(self) -> AerotechCoordinate: + if self.__simulated: + return self.__pos_aero + + acs = self.gonget("targetAEROTECH") #targetAEROTECH, #targetOMEGA + return AerotechCoordinate(at_mm = Coordinate(x=acs["GMX"], y = acs["GMY"], z = acs["GMZ"]), + omega_deg = acs["GMU"]) + + @target_aerotech.setter + def target_aerotech(self, coord: AerotechCoordinate): + if self.__simulated: + self.__pos_aero = coord + return + + target_string = "" + if coord.at_mm is not None: + target_string += "&GMX={:.5f}&GMY={:.5f}&GMZ={:.5f}".format( + coord.at_mm.x, coord.at_mm.y, coord.at_mm.z + ) + if coord.omega_deg is not None: + target_string += "&GMU={:.5f}".format(coord.omega_deg) + if target_string: + self.gonput(f"targetAEROTECH?{target_string}") + + def wait(self, timeout=60.0, tol=0.01, poll_time=0.01): target = self.target timeout = timeout + time() @@ -133,3 +170,25 @@ class Smargon(object): if time() > timeout: raise TimeoutError("Timed out waiting for Smargon to reach target") sleep(poll_time) + + def wait_aerotech(self, timeout=60.0, tol=0.01, poll_time=0.01): + target = self.target + timeout = timeout + time() + while time() < timeout: + if self.target_aerotech.eq(self.readback_aerotech, tol): + break + if time() > timeout: + raise TimeoutError("Timed out waiting for Aerotech to reach target") + sleep(poll_time) + + +if __name__ == "__main__": + smargon = Smargon(MXBeamline.X10SA) + x = smargon.readback_aerotech + print(x) + y = smargon.target_aerotech + smargon.target_aerotech = AerotechCoordinate(at_mm=Coordinate(x=18, y=0, z=0)) + print(y) + smargon.wait_aerotech() + print(f"aerotech reached {smargon.readback_aerotech}") + From 52545825b932ab73d19acd748b1121e8caf371a0 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 6 Feb 2026 15:59:47 +0100 Subject: [PATCH 073/144] Further tests for autoexposure. --- src/aare/gui/sam_cam_test.py | 462 +++++++++++------------------------ 1 file changed, 136 insertions(+), 326 deletions(-) diff --git a/src/aare/gui/sam_cam_test.py b/src/aare/gui/sam_cam_test.py index cb04d716..9ac4aaab 100644 --- a/src/aare/gui/sam_cam_test.py +++ b/src/aare/gui/sam_cam_test.py @@ -10,19 +10,6 @@ import numpy as np from aare.common.beamline import mx_beamline from aare.devices.area_detector import epicsAD from aare.daq.devices import BeamlineDevices -# profile_X = PV('X10SA-SAMCAM:Stats5:ProfileAverageX_RBV') -# profile_Y = PV('X10SA-SAMCAM:Stats5:ProfileAverageY_RBV') -# hist = PV('X10SA-SAMCAM:Stats5:Histogram_RBV') -# -# print(sample_cam.expo_rbv.get()) -# print(np.array(profile_X.get()).mean()) -# print(np.array(profile_Y.get()).mean()) -# print(np.array((hist.get())).mean()) -# roi_mean = PV('X10SA-SAMCAM:Stats5:MeanValue_RBV') -# cursorY = PV('X10SA-SAMCAM:Stats5:CursorY') -# cursorY_RBV = PV('X10SA-SAMCAM:Stats5:CursorY_RBV') -# cursorX = PV('X10SA-SAMCAM:Stats5:CursorX') -# cursorX_RBV = PV('X10SA-SAMCAM:Stats5:CursorX_RBV') # Python @dataclass(frozen=True) @@ -44,6 +31,7 @@ class MeteringConfig: # Winsorization for brightness metric (NOT for clipping metric): # clamp values above winsor_high before computing percentiles. winsor_high: int = 245 + subsample: int = 2 @dataclass(frozen=True) @@ -77,8 +65,8 @@ class LimitsConfig: exposure_effective_min_s: float = 0.002 exposure_quantum_s: float = 1e-6 - gain_min: float = 0.0 - gain_max: float = 36.0 + gain_min: float = 36.0 + gain_max: float = 512.0 # Update aggressiveness exposure_k: float = 0.35 # proportional factor for percentile error @@ -137,66 +125,6 @@ def _hist_u8(a: np.ndarray) -> np.ndarray: """ return np.bincount(a.ravel(), minlength=256) -# def compute_metrics(gray: np.ndarray, met: MeteringConfig, tgt: TargetConfig) -> Metrics: -# """ -# Compute robust metering metrics for 8-bit dark-background scenes. -# """ -# if gray.ndim != 2: -# raise ValueError("compute_metrics expects a 2D grayscale image.") -# g = gray -# if g.dtype != np.uint8: -# # If gray is float from RGB conversion, this handles it gracefully. -# g = np.clip(g, 0, 255).astype(np.uint8) -# -# roi = _center_crop(g, met.center_roi) -# n_total = int(roi.size) -# -# bg = float(np.percentile(roi, met.bg_percentile)) -# thr = int(min(255, max(0, round(bg + met.delta_dn)))) -# -# mask = roi > thr -# n_metered = int(mask.sum()) -# mask_fraction = float(n_metered / max(1, n_total)) -# -# # If mask is too small, broaden the ROI (fallback to full frame). -# if mask_fraction < met.min_mask_fraction: -# roi = g -# n_total = int(roi.size) -# bg = float(np.percentile(roi, met.bg_percentile)) -# thr = int(min(255, max(0, round(bg + met.delta_dn)))) -# mask = roi > thr -# n_metered = int(mask.sum()) -# mask_fraction = float(n_metered / max(1, n_total)) -# -# if n_metered == 0: -# return Metrics( -# bg=bg, thr=thr, -# n_total=n_total, n_metered=0, mask_fraction=0.0, -# clip_frac=0.0, p50=0.0, p70=0.0, p80=0.0, p90=0.0, mean=float(np.mean(roi)), -# ) -# -# vals = roi[mask] -# -# # Clipping fraction on raw values -# clip_frac = float(np.mean(roi >= tgt.clip_level)) -# -# # Winsorize only for percentile/mean (prevents glints from dominating brightness target) -# vals_w = np.minimum(vals, np.uint8(met.winsor_high)) -# -# return Metrics( -# bg=bg, -# thr=thr, -# n_total=n_total, -# n_metered=n_metered, -# mask_fraction=mask_fraction, -# clip_frac=clip_frac, -# p50=float(np.percentile(vals_w, 50)), -# p70=float(np.percentile(vals_w, 70)), -# p80=float(np.percentile(vals_w, 80)), -# p90=float(np.percentile(vals_w, 90)), -# mean=float(np.mean(vals_w)), -# ) - def compute_metrics(gray: np.ndarray, met: MeteringConfig, tgt: TargetConfig) -> Metrics: """ Compute robust metering metrics for 8-bit dark-background scenes. @@ -333,12 +261,14 @@ class AutoExposureController: metering: MeteringConfig | None = None, target: TargetConfig | None = None, limits: LimitsConfig | None = None, + get_frame_id: Callable[[], int] | None = None, ): self.get_gray_image = get_gray_image self.get_exposure_s = get_exposure_s self.set_exposure_s = set_exposure_s self.get_gain = get_gain self.set_gain = set_gain + self.get_frame_id = get_frame_id self.metering = metering or MeteringConfig() self.target = target or TargetConfig() @@ -362,16 +292,44 @@ class AutoExposureController: x = max(lo_eff, min(hi, x)) return x + def _wait_frames(self, frames: int, timeout_s: float = 0.5) -> bool: + """ + Wait for `frames` new frames (by frame counter), if get_frame_id is available. + + Returns: + True if the requested number of frames were observed, False on timeout. + """ + if self.get_frame_id is None: + sleep(0.04 * frames) + return True + + start_id = int(self.get_frame_id()) + deadline = perf_counter() + float(timeout_s) + target_id = start_id + int(frames) + + while perf_counter() < deadline: + if int(self.get_frame_id()) >= target_id: + return True + sleep(0.002) + + return False + def _settle_after_change(self, new_exp_s: float, base_settle_s: float, fps:float = 25.0) -> None: """ Wait long enough that the next acquired frame reflects the new exposure. - - For your typical 2–100 ms exposure range, this keeps the loop fast but stable. """ - t = max(base_settle_s, 1/fps, new_exp_s) - print(t) - t = min(t, 0.35) - sleep(t) + ok = self._wait_frames(frames=1, timeout_s=0.25) + if not ok: + # If frame IDs aren't advancing reliably, avoid reusing the same buffer. + # Keep it small to preserve speed. + sleep(min(0.02, max(0.0, float(new_exp_s)))) + + t_extra = max(0.0, float(new_exp_s) - (1.0 / float(fps))) + if t_extra > 0: + sleep(min(t_extra, 0.35)) + + if base_settle_s > 0: + sleep(float(base_settle_s)) def _set_exposure_if_changed(self, new_exp: float, current_exp: float) -> bool: q = float(self.limits.exposure_quantum_s) if self.limits.exposure_quantum_s > 0 else 0.0 @@ -387,84 +345,6 @@ class AutoExposureController: self.set_gain(new_gain) return True - def pre_bracket(self, - base_settle_s: float = 0.01, - max_steps: int = 8, - max_up: float = 3.0, - max_down: float = 0.33, - deadband_dn: float = 25.0) -> None: - """ - Coarse stage that avoids oscillation: - - uses exposure *= target/measured instead of fixed multipliers - - clamps jump size (max_up/max_down) - - reduces jump size if error sign flips (damping) - """ - last_err: float | None = None - up_lim = float(max_up) - dn_lim = float(max_down) - - for _ in range(max_steps): - gray = self.get_gray_image() - m = compute_metrics(gray, self.metering, self.target) - - exp = float(self.get_exposure_s()) - gain = float(self.get_gain()) - - # If we can't meter yet, increase exposure but not insanely. - if m.n_metered < self.target.min_metered_pixels: - new_exp = self._clamp(exp * min(up_lim, 2.0), self.limits.exposure_min_s, self.limits.exposure_max_s) - if new_exp > exp + 1e-12: - self.set_exposure_s(new_exp) - self._settle_after_change(new_exp, base_settle_s) - last_err = None - continue - - new_gain = self._clamp(gain + self.limits.gain_step, self.limits.gain_min, self.limits.gain_max) - self.set_gain(new_gain) - self._settle_after_change(exp, base_settle_s) - last_err = None - continue - - pv = float(_get_percentile_value(m, self.target.percentile)) - err = float(self.target.percentile_target - pv) - - # If we're already close in the coarse sense, stop bracketing. - if abs(err) <= float(deadband_dn) and (m.clip_frac <= self.target.clip_limit): - break - - # If clipping is high, reduce exposure using a bounded drop (avoid slamming to ~0). - if m.clip_frac > self.target.clip_limit: - # Drop factor based on severity but bounded - r = min(5.0, m.clip_frac / max(1e-12, self.target.clip_limit)) # 1..5 - drop = 0.85 - (r - 1.0) * (0.85 - 0.55) / (5.0 - 1.0) # 0.85..0.55 - drop = max(0.50, min(0.90, drop)) # hard bounds - new_exp = self._clamp(exp * drop, self.limits.exposure_min_s, self.limits.exposure_max_s) - if abs(new_exp - exp) > 1e-12: - self.set_exposure_s(new_exp) - self._settle_after_change(new_exp, base_settle_s) - last_err = err - continue - - # Anti-oscillation: if error sign flips, reduce allowed jump size - if last_err is not None and (err == 0.0 or (err > 0) != (last_err > 0)): - up_lim = max(1.3, up_lim * 0.5) - dn_lim = min(0.8, dn_lim + (1.0 - dn_lim) * 0.5) # move dn_lim toward 1.0 (less aggressive down) - - # Main coarse jump: exp *= target / measured - # If pv is tiny, protect division. - denom = max(1.0, pv) - ratio = float(self.target.percentile_target / denom) - - # Clamp jump size so we don't overreact - ratio = max(dn_lim, min(up_lim, ratio)) - - new_exp = self._clamp(exp * ratio, self.limits.exposure_min_s, self.limits.exposure_max_s) - if abs(new_exp - exp) > 1e-12: - self.set_exposure_s(new_exp) - self._settle_after_change(new_exp, base_settle_s) - - last_err = err - def time_test(self): t0 = perf_counter() gray = self.get_gray_image() @@ -476,16 +356,29 @@ class AutoExposureController: t3 = perf_counter() print("gray:", t1 - t0, "metrics:", t2 - t1, "pvs:", t3 - t2) - def run_once(self, settle_s: float = 0.15, max_iters: int = 12, verbose: bool = True) -> tuple[ - float, float, Metrics]: - """ - For stationary / after centering: iterate until within constraints (or max_iters). + def run_once( + self, + settle_s: float = 0.15, + max_iters: int = 12, + verbose: bool = True, + deadband_dn: float = 12.0, + metering_unreliable_boost: float = 1.4, + ) -> tuple[float, float, Metrics]: - Returns: (final_exposure, final_gain, last_metrics) - """ - base_settle_s = float(settle_s) # keep caller's base settle; do NOT overwrite it in-loop + base_settle_s = float(settle_s) last_m = None + # Make EMA more responsive so it doesn't lag by ~10 iterations + ema_alpha_p = 0.60 + ema_pv: float | None = None + + # 1 stable frame is typically enough once the loop is well behaved + stable_needed = 1 + stable_count = 0 + + # Use raw pv for the first few iterations to avoid EMA-lag overshoot + raw_control_iters = 3 + for i in range(max_iters): t0 = perf_counter() gray = self.get_gray_image() @@ -495,173 +388,74 @@ class AutoExposureController: exp = float(self.get_exposure_s()) gain = float(self.get_gain()) - pv = _get_percentile_value(m, self.target.percentile) + pv_raw = float(_get_percentile_value(m, self.target.percentile)) t3 = perf_counter() + last_m = m + + if ema_pv is None: + ema_pv = pv_raw + else: + ema_pv = ema_alpha_p * pv_raw + (1.0 - ema_alpha_p) * ema_pv + if verbose: print( f"[AE once {i + 1:02d}/{max_iters}] exp={exp:.6f}s gain={gain:.2f} " - f"clip={m.clip_frac:.4f} p{int(self.target.percentile)}={pv:.1f} " + f"clip={m.clip_frac:.4f} p{int(self.target.percentile)}={pv_raw:.1f} (ema_p={ema_pv:.1f}) " f"mask={m.mask_fraction * 100:.2f}% thr={m.thr} n={m.n_metered} " f"timing(gray={t1 - t0:.3f}s metrics={t2 - t1:.3f}s pvs={t3 - t2:.3f}s)" ) - if (m.clip_frac <= self.target.clip_limit) and (abs(self.target.percentile_target - pv) <= 5.0): - break - - # Example: measure set+settle times for exposure changes - if m.clip_frac > self.target.clip_limit: - r = min(5.0, m.clip_frac / max(1e-12, self.target.clip_limit)) - adaptive_drop = 0.85 - (r - 1.0) * (0.85 - 0.40) / (5.0 - 1.0) - adaptive_drop = self._clamp(adaptive_drop, 0.35, 0.90) - - new_exp = self._clamp(exp * adaptive_drop, self.limits.exposure_min_s, self.limits.exposure_max_s) - - ts = perf_counter() - self.set_exposure_s(new_exp) - te = perf_counter() - - tw0 = perf_counter() - self._settle_after_change(new_exp, base_settle_s) - tw1 = perf_counter() - - if verbose: - print(f" set_exp={te - ts:.3f}s settle={tw1 - tw0:.3f}s") - continue - - # Protect highlights - if m.clip_frac > self.target.clip_limit: - tr = perf_counter() - r = min(5.0, m.clip_frac / max(1e-12, self.target.clip_limit)) - adaptive_drop = 0.85 - (r - 1.0) * (0.85 - 0.40) / (5.0 - 1.0) - adaptive_drop = self._clamp(adaptive_drop, 0.35, 0.90) - ta = perf_counter() - - tne = perf_counter() - new_exp = self._clamp(exp * adaptive_drop, self.limits.exposure_min_s, self.limits.exposure_max_s) - ts = perf_counter() - self.set_exposure_s(new_exp) - te = perf_counter() - tw1 = perf_counter() - self._settle_after_change(new_exp, base_settle_s) - tw0 = perf_counter() - if verbose: - print(f"new_exp {tne-ts}s set_exp={te - ts:.3f}s settle={tw1 - tw0:.3f}s") - continue - - # Percentile control - err = float(self.target.percentile_target - pv) - - err_fullscale = 50.0 - err_norm = min(1.0, abs(err) / err_fullscale) - scale_up_limit = 1.12 + err_norm * (2.20 - 1.12) - scale_dn_limit = 0.88 - err_norm * (0.88 - 0.45) - - scale = 1.0 + self.limits.exposure_k * (err / 255.0) - scale = self._clamp(scale, scale_dn_limit, scale_up_limit) - tne = perf_counter() - new_exp = self._clamp(exp * scale, self.limits.exposure_min_s, self.limits.exposure_max_s) - ts = perf_counter() - if abs(new_exp - exp) < 1e-12: - # only adjust gain at limits - if err > 5 and exp >= self.limits.exposure_max_s - 1e-12: - new_gain = self._clamp(gain + self.limits.gain_step, self.limits.gain_min, self.limits.gain_max) - self.set_gain(new_gain) - self._settle_after_change(exp, base_settle_s) - elif err < -5 and exp <= self.limits.exposure_min_s + 1e-12: - new_gain = self._clamp(gain - self.limits.gain_step, self.limits.gain_min, self.limits.gain_max) - self.set_gain(new_gain) - self._settle_after_change(exp, base_settle_s) - else: + # Stop condition: use raw pv (not EMA) so we don't "wait out" lag + in_clip = (m.clip_frac <= self.target.clip_limit) + in_p = (abs(self.target.percentile_target - pv_raw) <= deadband_dn) + if in_clip and in_p: + stable_count += 1 + if stable_count >= stable_needed: break else: - ts2 = perf_counter() - self.set_exposure_s(new_exp) - te = perf_counter() - tw1 = perf_counter() + stable_count = 0 + + # 1) clipping protection (unchanged) + if m.clip_frac > self.target.clip_limit: + r = min(8.0, m.clip_frac / max(1e-12, self.target.clip_limit)) + adaptive_drop = 0.85 - (r - 1.0) * (0.85 - 0.35) / (8.0 - 1.0) + adaptive_drop = self._clamp(adaptive_drop, 0.35, 0.90) + + new_exp = self._clamp(exp * adaptive_drop, self.limits.exposure_min_s, self.limits.exposure_max_s) + if self._set_exposure_if_changed(new_exp, exp): + self._settle_after_change(new_exp, base_settle_s) + continue + + # 2) unreliable metering (unchanged) + if m.n_metered < self.target.min_metered_pixels: + boost = float(max(1.05, min(metering_unreliable_boost, self.limits.max_exposure_scale_up))) + new_exp = self._clamp(exp * boost, self.limits.exposure_min_s, self.limits.exposure_max_s) + if self._set_exposure_if_changed(new_exp, exp): + self._settle_after_change(new_exp, base_settle_s) + continue + + # 3) main control: use pv_raw for the first few steps, then EMA + pv_for_control = pv_raw if i < raw_control_iters else float(ema_pv) + + err = float(self.target.percentile_target - pv_for_control) + if abs(err) <= float(deadband_dn): + continue + + pv = max(1.0, float(pv_for_control)) + ratio = float(self.target.percentile_target) / pv + + k = float(self.limits.exposure_k) + scale = ratio ** k + scale = max(self.limits.max_exposure_scale_down, min(self.limits.max_exposure_scale_up, scale)) + + new_exp = self._clamp(exp * scale, self.limits.exposure_min_s, self.limits.exposure_max_s) + if self._set_exposure_if_changed(new_exp, exp): self._settle_after_change(new_exp, base_settle_s) - tw0 = perf_counter() - if verbose: - print(f"new_exp {ts-tne}s set_exp={te - ts2:.3f}s settle={tw0 - tw1:.3f}s") exp = float(self.get_exposure_s()) gain = float(self.get_gain()) - return exp, gain, last_m if last_m is not None else compute_metrics(self.get_gray_image(), self.metering, - self.target) - - def run_continuous( - self, - duration_s: float = 10.0, - update_hz: float = 3.0, - ema_alpha: float = 0.4, - verbose: bool = True, - ) -> None: - """ - For moving scenes: low-rate updates + EMA smoothing to avoid oscillation. - - It will update exposure/gain at `update_hz` for `duration_s`. - """ - if update_hz <= 0: - raise ValueError("update_hz must be > 0") - dt = 1.0 / update_hz - - t0 = perf_counter() - k = 0 - while (perf_counter() - t0) < duration_s: - gray = self.get_gray_image() - m = compute_metrics(gray, self.metering, self.target) - - # Skip if metering unreliable - if m.n_metered < self.target.min_metered_pixels: - if verbose: - print(f"[AE cont] skipped (n_metered={m.n_metered})") - sleep(dt) - continue - - pv = _get_percentile_value(m, self.target.percentile) - - # EMA smoothing - if self._ema_clip is None: - self._ema_clip = m.clip_frac - self._ema_p = pv - else: - self._ema_clip = ema_alpha * m.clip_frac + (1 - ema_alpha) * self._ema_clip - self._ema_p = ema_alpha * pv + (1 - ema_alpha) * self._ema_p - - exp = float(self.get_exposure_s()) - gain = float(self.get_gain()) - - if verbose: - print( - f"[AE cont {k:04d}] exp={exp:.6f}s gain={gain:.2f} " - f"clip={self._ema_clip:.4f} p{int(self.target.percentile)}={self._ema_p:.1f} " - f"mask={m.mask_fraction*100:.2f}%" - ) - - # Control using smoothed metrics - if self._ema_clip > self.target.clip_limit: - new_exp = exp * self.limits.exposure_clip_drop - new_exp = max(new_exp, exp * self.limits.max_exposure_scale_down) - new_exp = self._clamp(new_exp, self.limits.exposure_min_s, self.limits.exposure_max_s) - self.set_exposure_s(new_exp) - else: - err = float(self.target.percentile_target - self._ema_p) - scale = 1.0 + self.limits.exposure_k * (err / 255.0) - scale = self._clamp(scale, self.limits.max_exposure_scale_down, self.limits.max_exposure_scale_up) - new_exp = self._clamp(exp * scale, self.limits.exposure_min_s, self.limits.exposure_max_s) - - if abs(new_exp - exp) > 1e-12: - self.set_exposure_s(new_exp) - else: - # Use gain only if pinned at exposure limit - if err > 8 and exp >= self.limits.exposure_max_s - 1e-12: - self.set_gain(self._clamp(gain + self.limits.gain_step, self.limits.gain_min, self.limits.gain_max)) - elif err < -8 and exp <= self.limits.exposure_min_s + 1e-12: - self.set_gain(self._clamp(gain - self.limits.gain_step, self.limits.gain_min, self.limits.gain_max)) - - k += 1 - sleep(dt) - + return exp, gain, last_m if last_m is not None else compute_metrics(self.get_gray_image(), self.metering, self.target) # Python def build_controller(sample_cam, lim: LimitsConfig, tgt: TargetConfig, met:MeteringConfig) -> AutoExposureController: # sample_cam should be whatever your EPICS/AD wrapper object is. @@ -683,9 +477,11 @@ def build_controller(sample_cam, lim: LimitsConfig, tgt: TargetConfig, met:Meter def set_gain(v: float) -> None: sample_cam.gain.put(float(v), wait=False) + def get_frame_id() -> int: + return int(sample_cam.uid.get()) - - return AutoExposureController(get_gray, get_exp, set_exp, get_gain, set_gain, metering=met, target=tgt, limits=lim) + return AutoExposureController(get_gray, get_exp, set_exp, get_gain, set_gain, + metering=met, target=tgt, limits=lim, get_frame_id=get_frame_id) def _now_s() -> float: return perf_counter() @@ -888,17 +684,31 @@ if devs.reflector_up and devs.back_light > 0.91: ) elif devs.reflector_up: - limits = LimitsConfig(exposure_min_s=0.0005, exposure_max_s=0.2, exposure_effective_min_s=0.002, - exposure_quantum_s=0.001, - gain_min=0.0, gain_max=36.0, exposure_k=0.80, max_exposure_scale_up=1.6, + limits = LimitsConfig(exposure_min_s=0.0005, exposure_max_s=0.2, exposure_effective_min_s=0.001, + exposure_quantum_s=1e-4, + gain_min=0.0, gain_max=36.0, exposure_k=0.80, max_exposure_scale_up=2.2, max_exposure_scale_down=0.6) + + metering = MeteringConfig( + center_roi=0.7, + bg_percentile=10.0, + delta_dn=10, + winsor_high=230, + ) + targets = TargetConfig( + clip_limit=0.02, # allow more clipping (bright field can clip) + percentile=70.0, + percentile_target=170.0, + min_metered_pixels=5000, # can be lower because backlight mask is usually strong + ) + else: limits = LimitsConfig(exposure_min_s=0.002, exposure_max_s=0.5, exposure_effective_min_s=0.002, exposure_quantum_s=0.001, - gain_min=0.0, gain_max=36.0, exposure_k=0.80, max_exposure_scale_up=1.6, + gain_min=0.0, gain_max=36.0, exposure_k=0.60, max_exposure_scale_up=1.6, max_exposure_scale_down=0.6) targets = TargetConfig( - clip_limit=0.01, + clip_limit=0.02, percentile=70.0, percentile_target=160.0, min_metered_pixels=5000, @@ -913,7 +723,7 @@ ctrl = build_controller(sample_cam, lim=limits, tgt=targets, met=metering) # After centering and stationary: st = time.perf_counter() -exp, gain, m = ctrl.run_once(settle_s=0.0, max_iters=20, verbose=True) +exp, gain, m = ctrl.run_once(settle_s=0.0, max_iters=20, verbose=True, deadband_dn=10.0, metering_unreliable_boost=1.3) print(f"run_once took {time.perf_counter() - st} s") # expected = { From 4e880acb8c4b1fe575abc83ec7673420bce8cea9 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Wed, 18 Feb 2026 10:55:14 +0100 Subject: [PATCH 074/144] DAQ: tidy up my_motor.p --- src/aare/devices/my_motor.py | 32 +------------------------------- 1 file changed, 1 insertion(+), 31 deletions(-) diff --git a/src/aare/devices/my_motor.py b/src/aare/devices/my_motor.py index 4ece9715..d7938948 100644 --- a/src/aare/devices/my_motor.py +++ b/src/aare/devices/my_motor.py @@ -4,6 +4,7 @@ from epics import Motor class MyMotor(Motor): + """Wrapper for the EPICS motor PV.""" def __init__(self, name, timeout=5.0): super().__init__(name.upper(), timeout=timeout) @@ -99,34 +100,3 @@ class MyMotor(Motor): await asyncio.sleep(poll_rate) if time.time() - start_time > timeout: raise RuntimeError(f"Timeout waiting for motor {self.name} to stop") - - # def pv_wait(pv: Union[PV, Motor], target: Union[str, int, float], timeout: float = 30.0, - # polling: float = 0.1, tolerance: float | None = None): - # """ - # Unified wait function for Motors and PVs (Strings, Enums, Floats). - # """ - # start_time = time.monotonic() - # end_time = start_time + timeout - # - # # Handle Motors - # if isinstance(pv, Motor): - # if tolerance is None: - # # Try to get the motor resolution/deadband - # tolerance = pv.get("RDBD") or 0.01 - # - # while time.monotonic() < end_time: - # if pv.done_moving and abs(pv.readback - target) <= tolerance: - # return - # - # raise ValueWaitTimeout( - # f"Motor {pv.name} timeout. Target: {target}, Current: {pv.readback}, Done: {pv.done_moving}" - # ) - # - # def wait_for_movement_to_finish(*motors: Motor, timeout: float = 60.0): - # """Wait for a group of motors to stop moving.""" - # start_time = time.time() - # while not all(m.done_moving for m in motors): - # if time.time() - start_time > timeout: - # moving = [m.name for m in motors if not m.done_moving] - # raise TimeoutError(f"Timeout waiting for motors: {', '.join(moving)}") - # poll(0.1) \ No newline at end of file From 4f84eb67f295f397d36b2c451ce98dde03ed4522 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Wed, 18 Feb 2026 10:56:07 +0100 Subject: [PATCH 075/144] Devices: added det_cov, coll_z, scin_z, beamstop_x,y,z and cryojet_x, and fixed PV name bugs --- src/aare/daq/devices.py | 26 +++++++++++++++++++------- 1 file changed, 19 insertions(+), 7 deletions(-) diff --git a/src/aare/daq/devices.py b/src/aare/daq/devices.py index 201e36c8..2eccd6a8 100644 --- a/src/aare/daq/devices.py +++ b/src/aare/daq/devices.py @@ -34,20 +34,25 @@ class BeamlineDevices: self.__ring_current_pv = PV(f"ARS07-DPCT-0100:CURR") self.__dtz = MyMotor(f"{BEAMLINE}-ES-DET:TRZ") + self.__dty = MyMotor(f"{BEAMLINE}-ES-DET:TRY") + + self.__det_cov = EnumPV(name="det_cov", + setpv=f"{BEAMLINE}-ES-DETCOV:SET", + getpv=f"{BEAMLINE}-ES-DETCOV:GET") self.__sample_cam = epicsAD(f"{BEAMLINE}-SAMCAM:") self.__front_light = PredefinedPV(name='front_light', - setpv="{BEAMLINE}-ES-FL:SET", - getpv="{BEAMLINE}-ES-FL:GET", + setpv=f"{BEAMLINE}-ES-FL:SET", + getpv=f"{BEAMLINE}-ES-FL:GET", predefs={"off":1.49, 'half':2.0, 'max':3.0}, timeout=10.0 ) self.__back_light = PredefinedPV(name='back_light', - setpv ="{BEAMLINE}-ES-BL:SET", - getpv="{BEAMLINE}-ES-BL:GET", + setpv =f"{BEAMLINE}-ES-BL:SET", + getpv=f"{BEAMLINE}-ES-BL:GET", predefs={"off": 0, 'half': 0.98, 'max': 1.2}, @@ -59,15 +64,20 @@ class BeamlineDevices: getpv = f"{BEAMLINE}-ES-BL:POS-GET", timeout = 10.0) - self.__collimator_pos = PV(f"{BEAMLINE}-ES-COL:TRY") # HOW TO HANDLE!!! + self.__collimator_pos = PV(f"{BEAMLINE}-ES-COL:TRY") + self.__collimator_z = MyMotor(f"{BEAMLINE}-ES-COL:TRZ") # HOW TO HANDLE!!! self.__scintillator_pos = PV(f"{BEAMLINE}-ES-SCL:TRY") # how to handle!!! + self.__scintillator_z = PV(f"{BEAMLINE}-ES-SCL:TRZ") self.__beamstop_pos = EnumPV(name = "beamstop_pos", setpv = f"{BEAMLINE}-ES-BS:POS-SET", getpv = f"{BEAMLINE}-ES-BS:POS-GET", timeout = 10.0) + self.__beamstop_x = MyMotor(f"{BEAMLINE}-ES-BS:TRX") + self.__beamstop_y = MyMotor(f"{BEAMLINE}-ES-BS:TRY") + self.__beamstop_z = MyMotor(f"{BEAMLINE}-ES-BS:TRZ") self.__zoom = SetGetPV(name = f"zoom", @@ -75,10 +85,12 @@ class BeamlineDevices: getpv = f"{BEAMLINE}-ES-SAMCAM:ZOOM.RBV") self.__cryojet_pos = EnumPV(name='cryojet_pos', - setpv = f"{BEAMLINE}-ES-CJ:POS-SET", - getpv = f"{BEAMLINE}-ES-CJ:POS-GET", + setpv = f"{BEAMLINE}-ES-CS:POS-SET", + getpv = f"{BEAMLINE}-ES-CS:POS-GET", timeout = 10.0) + self.__cryojet_x = MyMotor(f"{BEAMLINE}-ES-CS:TRX") + # Transmission From b19b8d37b24ea5b57caa334293e2e45e3c7e1bbf Mon Sep 17 00:00:00 2001 From: appleb_m Date: Wed, 18 Feb 2026 10:56:39 +0100 Subject: [PATCH 076/144] pshell_client: added some further ifnoramtion for auto docs --- src/aare/devices/pshell_client.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/src/aare/devices/pshell_client.py b/src/aare/devices/pshell_client.py index e81a62c3..96caebb7 100644 --- a/src/aare/devices/pshell_client.py +++ b/src/aare/devices/pshell_client.py @@ -12,6 +12,7 @@ except ImportError: class TimeoutException(Exception): + """Timeout Exception raised by wait methods when a requested state or evenet doesn't arrive in time""" pass @@ -21,6 +22,9 @@ except: SSEClient = None class SSEReceiver: + """Background thread that parses incoming SSE (serveer-sent events) via an event thread and dispatches them to subscribers + :param url + :param subscribed_events""" def __init__(self, url, subscribed_events): if SSEClient is None: raise Exception("sseclient library is not installed: server events are not available") @@ -37,6 +41,7 @@ class SSEReceiver: self.thread.start() def task(self): + """SSE event loop task""" try: while not self._stop.is_set(): try: @@ -164,15 +169,18 @@ class SSEReceiver: pass def close(self): + """Close SSE client - stops the thread and closes resources""" self._stop.set() self._close_client() if self.debug: print("closed") def is_closed(self): + """Return True if SSE client is closed""" return self._stop.is_set() class PShellClient: + """High-level REST API wrapper for the P-Shell service""" def __init__(self, url): if not url.endswith('/'): url = url + "/" From 6b174d0d8d49086312cfcccd7525cb8fc80c7a33 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Wed, 18 Feb 2026 10:57:06 +0100 Subject: [PATCH 077/144] updated dependencies --- pyproject.toml | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index e17f11cd..1d6ddde7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,9 +5,9 @@ description = "AareDAQ (with GUI)" readme = "README.md" requires-python = ">=3.11" dependencies = [ - "pydantic==2.11.4", + "pydantic==2.11.4", "numpy==2.2.5", - "jfjoch_client==1.0.0rc122", + "jfjoch_client==1.0.0rc124", "pyJWT==2.10.1", "pyzmq==26.4.0", "opencv-python-headless==4.11.0.86", @@ -18,8 +18,7 @@ dependencies = [ "python-redis-lock==4.0.0", "fastapi==0.115.13", "uvicorn==0.34.2", - "aaredb==0.1.1a33", - "opencv-python-headless==4.11.0.86", + "aaredb==0.1.1a41", "python_multipart==0.0.20", "websocket-client==1.8.0", "sseclient-py==1.8.0", From 942a2a172673aa987c8b4fa06366ee1f0cdd27ad Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 19 Feb 2026 13:48:38 +0100 Subject: [PATCH 078/144] BEC_Worker - WIP --- src/aare/devices/bec_worker.py | 134 ++++++++++++++++++++++++++++++--- 1 file changed, 122 insertions(+), 12 deletions(-) diff --git a/src/aare/devices/bec_worker.py b/src/aare/devices/bec_worker.py index 164bae2e..2ee98499 100644 --- a/src/aare/devices/bec_worker.py +++ b/src/aare/devices/bec_worker.py @@ -2,6 +2,7 @@ from bec_lib.client import BECClient from bec_ipython_client import BECIPythonClient from bec_lib.service_config import ServiceConfig from bec_lib.procedures.helper import FrontendProcedureHelper, BackendProcedureHelper +#from pxii_bec.macros.pxii_guards import GuardViolation #specify up to 10 queue to runs in parallel, request more if needed! @@ -15,9 +16,28 @@ from bec_lib.procedures.helper import FrontendProcedureHelper, BackendProcedureH # helper.get.running_procedures() # helper.request.abort_queue() +def bec_exception_handler(exception: Exception): + print(f"Exception: {exception}") + +class OurBECDevices: + def __init__(self, BECDevices): + print("initialising devices") + init_positioned_devices() + dev = BECDevices + print("devices initialised") + self.coll_y = MultiPositionDevice(device = PD.coll_y, + states = dev.coll_y.user_parameter) + self.scintillator_diode_y = MultiPositionDevice(device = PD.diag_y, + states = dev.diag_y.user_parameter) + self.backlight_pos = PositionedDevice(device = PD.bl_pos) + #self.beamstop_pos = PositionedDevice(device = PD.bs_pos) + self.beamstop_z = GuardedPositionedDevice(device = PD.bs_z) + + self.goniometer_x = GuardedPositionedDevice(device = PD.gon_x) # may get deprecated with the IOC + class BECClientWorker: def __init__(self, service_config:ServiceConfig, name:str = "default"): - self.client = BECClient(config=service_config, name=name) + self.client = BECIPythonClient(config=service_config) self.client.start() #self.client.config.update_session_with_file("/sls/x10sa/config/bec/production/bec/bec_lib/bec_lib/config_helper.py") self.dev = self.client.device_manager.devices @@ -25,6 +45,8 @@ class BECClientWorker: self.macros = self.client.macros self.load_user_macros() self.helper = FrontendProcedureHelper(self.client.connector) + self.ProtectedDevices = OurBECDevices(BECDevices=self.dev) + def run_macro(self, macro_name:str, *args, queue:str = "default", **kwargs): return self.client.proc.run_macro(macro_name, *args, queue=queue) @@ -53,14 +75,14 @@ class BECClientWorker: self.client.shutdown() def common2rse(self): - status = self.scans.umv(dev.blight_pos, 0, relative=False) + status = self.scans.umv(self.dev.blight_pos, 0, relative=False) try: SE.blpos.checkpos() except NotImplemented as e: print(f"Backlight position not checked: {e}") print(f"Moved backlight to position {self.dev.blight_pos.read()} with status {status.status}") - self.scans.umv(dev.bs_z, 72.0, dev.coll_y, 20.0, dev.scin_y, 20.0, dev.cryo_pos, 1, relative=False) - self.scans.umv(dev.bs_pos, 0, relative=False) + self.scans.umv(self.dev.bs_z, 72.0, self.dev.coll_y, 20.0, self.dev.scin_y, 20.0, self.dev.cryo_pos, 1, relative=False) + self.scans.umv(self.dev.bs_pos, 0, relative=False) print(f"Moved everything else to park position with status {status.status}") if self.dev.bs_z.read().value != 72.0:# or self.dev.coll_y.read() != 20.0 or self.dev.scin_y.read() != 20.0: @@ -71,9 +93,6 @@ class BECClientWorker: self.scans.umv(self.dev.blight_pos, 1, relative=False) self.scans.umv(self.dev.bs_pos, 1, relative = False) - def a2e_runner(self, a, *hkl): - return a2e(a, *hkl) - def mono_pitch_scan_runner(self): print('this is a print statement from inside DAQ not BEC') try: @@ -82,10 +101,98 @@ class BECClientWorker: print(f"Error: {e}") +class MultiPositionDevice: + """inherits from the MultiPositionDevice BEC class + can move in and out + :param device is inisitialised with initialise_PD_devices() and can be called with PD.device_name + :states is a dictionary of str, float from bec.dev.device_name.user_parameter + """ + + def __init__(self, device, states: dict[str, float] | None = None): + self.device = device + self.states = states + + def move_to(self, position: str): + self.device.move_to(position) + + @property + def actual(self) -> float: + return self.device.actual + + @property + def state(self) -> str: + """returns the current state of the device as a string or unknown if out of a valid state position""" + return self.device.state + + @property + def is_at(self, state:str) -> bool: + return self.device.is_at("state") + + @property + def is_clear(self) -> bool: + return self.device.is_clear() + + +class PositionedDevice: + """inherits from the PositionedDevice BEC class + can move in and out + :param device is inisitialised with initialise_PD_devices() and can be called with PD.device_name + """ + + def __init__(self, device): + self.device = device + self.states = ["in", "out"] + + def move_in(self): + self.device.mvin() + + + def move_out(self): + self.device.mvout() + + @property + def is_in(self) -> bool: + return self.device.is_in() + + @property + def is_out(self) -> bool: + return self.device.is_out() + + +class GuardedPositionedDevice: + """inherits from the GuardedAxis BEC class + :param device is inisitialised with initialise_PD_devices() and can be called with PD.device_name + allowed functions are move(float) and actual which returns the feedback""" + + def __init__(self, device): + self.device = device + + def move(self, position: float): + self.device.move(position) + + @property + def actual(self) -> float: + return self.device.actual + + + + + + # not implemented yet + # self.cryo_pos = PD.cryo_pos + # self.xrf_pos = PD.xrf_po + if __name__ == "__main__": import time - service_config = ServiceConfig(redis={"host": "x10sa-bec-001.psi.ch", "port": 6379}) - client = BECClientWorker(service_config, "default") + print('starting BEC Client') + try: + service_config = ServiceConfig(redis={"host": "x10sa-bec-001.psi.ch", "port": 6379}) + client = BECClientWorker(service_config) + except Exception as e: + print(f"Error: {e}") + import sys + sys.exit(1) + client.show_all_devices() client.list_all_macros() try: @@ -95,10 +202,9 @@ if __name__ == "__main__": # energy = get_current_energy() # pos = get_dcm_motors_positions(energy) # print(energy, pos) - #init_positioned_devices() - #PD.xeye_x.mvout() + print(bs_z_policy(15.0)) #client.scans.umv(client.dev.xeye_x, 0, relative=False) - client.mono_pitch_scan_runner() + #client.mono_pitch_scan_runner() #client.mono_pitch_scan_runner() #b=client.run_macro_blocked("a2e", 160, "iln", queue="test") #b = client.run_macro_blocked("mono_pitch_scan", False, queue="default") @@ -112,6 +218,10 @@ if __name__ == "__main__": #print(status) #client.common2rse() #print(status) + except GuardViolation as e: + print(f"GuardViolation: {e}") + except RuntimeError as e: + print(f"RuntimeError: {e}") except Exception as e: print(f"Error: {e}") client.shutdown_client() From bed83f63efba2b396f7b8ec66adecc36f2b1dc31 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 19 Feb 2026 16:41:52 +0100 Subject: [PATCH 079/144] mx_lib: tidied up wait functions and removed redundant code. --- src/aare/devices/mx_lib.py | 108 ++++++++++++++++++------------------- 1 file changed, 53 insertions(+), 55 deletions(-) diff --git a/src/aare/devices/mx_lib.py b/src/aare/devices/mx_lib.py index ead6dd85..312880d5 100644 --- a/src/aare/devices/mx_lib.py +++ b/src/aare/devices/mx_lib.py @@ -1,44 +1,9 @@ -import datetime import re import time -from typing import Callable, Union +from typing import Callable, Union, Any from epics import PV, Motor, poll - -def timestamp(): - """ - Returns a fixed width string (15 characters) with a timestamp - in the format (24Hour:Minute:Second.Microsecond). - - Example: 13:09:43.009508 - """ - x = datetime.datetime(1, 1, 1).now() - return "%4d-%02d-%02d %02d:%02d:%02d,%03d" % ( - x.year, - x.month, - x.day, - x.hour, - x.minute, - x.second, - x.microsecond / 1000, - ) - - -def itoa(x, base=10): - is_negative = x < 0 - if is_negative: - x = -x - digits = [] - while x > 0: - x, last_digit = divmod(x, base) - digits.append("0123456789abcdefghijklmnopqrstuvwxyz"[last_digit]) - if is_negative: - digits.append("-") - digits.reverse() - return "".join(digits) - - def wait_for_movement_to_finish(*motors): """ Wait for all {motors} passed in argument to finish movement. @@ -51,10 +16,6 @@ def wait_for_movement_to_finish(*motors): Returns: nothing """ - # timeout = 1.5 * max([abs(motor.get_position(readback=True) - - # motor.get_position()) / motor.slew_speed - # for motor in motors]) - # poll(0.3) longest = 0.0 for motor in motors: @@ -77,15 +38,31 @@ class ValueWaitTimeout(Exception): pass -def pv_wait(pv, value, *, timeout=30.0, polling=0.2, tolerance=None, verbose=False): - if not (isinstance(pv, PV) or isinstance(pv, Motor)): - raise ValueError("wait what!? what pv?!") - +def pv_wait(pv: PV | Motor, value: Any, *, timeout: float = 60.0, + polling: float = 0.1, tolerance: float | None=None, verbose: bool =False): + """wait until an epics.PV reaches a value + pv: epics.PV | epics.Motor + the PV on which you want to wait on + value/target: any + this value depends on the PV type: str, enum, double, ... + :timeout: float default = 60.0 + timeout in seconds + :polling: float default = 0.1 + polling interval in seconds + tolerance: float or None + provide a tolerance to accept when comparing values, currently None by default, however certain PVs and motors + have inbuilt tolerances that can be used instead + verbose: bool default = False + NotImplemented + """ if isinstance(pv, Motor): def checker(m, target=None, tolerance=None): if tolerance is None: tolerance = m.get("RDBD") + if tolerance is None: + print(f"WARNING: motor {m._prefix[:-1]} has no RDBD, using 0.001") + tolerance = 0.001 #FIXME if target is None: target = m.drive @@ -107,14 +84,25 @@ def pv_wait(pv, value, *, timeout=30.0, polling=0.2, tolerance=None, verbose=Fal def is_epics_type(pv: PV, pv_type: str) -> bool: + """Check to see if a PV is of a certain type such as double, enum, string, ...""" if isinstance(pv_type, type): pv_type = pv_type.__name__ return pv_type == pv.type -def wait_string_condition(pv, target: Union[str, re.Pattern], *, timeout=60.0, polling=0.1): - if not (isinstance(pv, PV) or "string" not in pv.type): +def wait_string_condition(pv: PV, target: Union[str, re.Pattern], *, timeout: float = 60.0, polling: float = 0.1): + """wait until an epics.PV of type string reaches target + :pv: epics.PV + PV should be of type string + :target: str or re.Pattern + :timeout: float default = 60.0 + timeout in seconds + :polling: float default = 0.1 + polling interval in seconds + """ + + if not (isinstance(pv, PV) and "string" not in pv.type): raise AttributeError("argument 'pv' must be an epics.PV of type string") if not isinstance(target, re.Pattern): @@ -131,7 +119,8 @@ def wait_string_condition(pv, target: Union[str, re.Pattern], *, timeout=60.0, p raise TimeoutError(f"timeout waiting for string {pv.pvname} == {target}; actual value == {pv.char_value}") -def wait_float_condition(pv: PV, value, *, timeout: float = 60.0, **kwargs): +def wait_float_condition(pv: PV, value, *, timeout: float = 60.0, + polling: float = 0.1, tolerance: float| None = None): """wait until an epics.PV of type double reaches value pv: epics.PV the PV enum on which you want to wait on @@ -139,19 +128,22 @@ def wait_float_condition(pv: PV, value, *, timeout: float = 60.0, **kwargs): value: float the target value + polling: float + how often pv is checked during wait loop + tolerance: float or None the tolerance to accept when comparing values, if None (default) we try to figure an appropriate value - timeout: double + timeout: float default = 60.0 a timeout in seconds return: nothing raises: TimeoutError if a timeout occurs """ - if not (isinstance(pv, PV) or "double" not in pv.type): + if not (isinstance(pv, PV) and "double" not in pv.type): raise AttributeError("argument 'pv' must be an epics.PV of type double") try: @@ -159,10 +151,16 @@ def wait_float_condition(pv: PV, value, *, timeout: float = 60.0, **kwargs): except ValueError: raise AttributeError("argument 'value' must be a number") - tolerance = kwargs.get("tolerance", pow(10, -(pv.precision - 1))) # type: ignore - polling = kwargs.get("polling", 0.1) + if tolerance is None: + # If pv.precision is missing/None, fall back to a default + precision = getattr(pv, "precision", None) + if precision is None: + tolerance = 1e-6 + else: + tolerance = pow(10, -(precision - 1)) tout = time.time() + timeout + while time.time() < tout: if abs(pv.value - value) < tolerance: return @@ -190,13 +188,13 @@ def wait_motor_position(motor: Motor, tester: Callable, *, timeout: float = 50.0 raises: TimeoutError if a timeout occurs """ - if not isinstance(tester, Callable): + if not callable(tester): raise RuntimeError("argument 'tester' must be a function") try: move_time = abs(motor.drive - motor.readback) / motor.speed except Exception: - move_time = 1.0 # in case we're dealing with weird motor record + move_time = 1.0 # in case of unusual motor record tout = move_time + time.time() + timeout @@ -209,7 +207,7 @@ def wait_motor_position(motor: Motor, tester: Callable, *, timeout: float = 50.0 raise TimeoutError(f"timeout waiting for a condition on {motor} {motor.drive} != {motor.readback}") -def wait_enum_condition(pv: PV, value: Union[str, int, re.Pattern], *, timeout: float = 60.0, polling=0.1, **kwargs): +def wait_enum_condition(pv: PV, value: Union[str, int, re.Pattern], *, timeout: float = 60.0, polling=0.1): """wait until an epics.PV enum reaches value pv: epics.PV the PV enum on which you want to wait on @@ -224,7 +222,7 @@ def wait_enum_condition(pv: PV, value: Union[str, int, re.Pattern], *, timeout: raises: TimeoutError if a timeout occurs """ - if not (isinstance(pv, PV) or "enum" != pv.type[-4:].lower()): + if not (isinstance(pv, PV) and pv.type.lower().endswith("enum")): raise AttributeError("argument 'pv' must be an epics.PV of type enum") if not (isinstance(value, str) or isinstance(value, int) or isinstance(value, re.Pattern)): From a0530d52615c12000377c150f5fbe0ec148b8f96 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 19 Feb 2026 16:42:14 +0100 Subject: [PATCH 080/144] bec_worker: further work to modifiy bec_worker.py --- src/aare/devices/bec_worker.py | 174 +++++++++++++++++---------------- 1 file changed, 91 insertions(+), 83 deletions(-) diff --git a/src/aare/devices/bec_worker.py b/src/aare/devices/bec_worker.py index 2ee98499..7772595e 100644 --- a/src/aare/devices/bec_worker.py +++ b/src/aare/devices/bec_worker.py @@ -2,6 +2,10 @@ from bec_lib.client import BECClient from bec_ipython_client import BECIPythonClient from bec_lib.service_config import ServiceConfig from bec_lib.procedures.helper import FrontendProcedureHelper, BackendProcedureHelper + +from aare.common.beamline import MXBeamline, mx_beamline + + #from pxii_bec.macros.pxii_guards import GuardViolation @@ -19,87 +23,6 @@ from bec_lib.procedures.helper import FrontendProcedureHelper, BackendProcedureH def bec_exception_handler(exception: Exception): print(f"Exception: {exception}") -class OurBECDevices: - def __init__(self, BECDevices): - print("initialising devices") - init_positioned_devices() - dev = BECDevices - print("devices initialised") - self.coll_y = MultiPositionDevice(device = PD.coll_y, - states = dev.coll_y.user_parameter) - self.scintillator_diode_y = MultiPositionDevice(device = PD.diag_y, - states = dev.diag_y.user_parameter) - self.backlight_pos = PositionedDevice(device = PD.bl_pos) - #self.beamstop_pos = PositionedDevice(device = PD.bs_pos) - self.beamstop_z = GuardedPositionedDevice(device = PD.bs_z) - - self.goniometer_x = GuardedPositionedDevice(device = PD.gon_x) # may get deprecated with the IOC - -class BECClientWorker: - def __init__(self, service_config:ServiceConfig, name:str = "default"): - self.client = BECIPythonClient(config=service_config) - self.client.start() - #self.client.config.update_session_with_file("/sls/x10sa/config/bec/production/bec/bec_lib/bec_lib/config_helper.py") - self.dev = self.client.device_manager.devices - self.scans = self.client.scans - self.macros = self.client.macros - self.load_user_macros() - self.helper = FrontendProcedureHelper(self.client.connector) - self.ProtectedDevices = OurBECDevices(BECDevices=self.dev) - - - def run_macro(self, macro_name:str, *args, queue:str = "default", **kwargs): - return self.client.proc.run_macro(macro_name, *args, queue=queue) - - def run_macro_blocked(self, macro_name:str, *args, queue:str = "default", **kwargs): - try: - status = self.run_macro(macro_name, *args, queue=queue) - print(status) - status.wait() - print(status) - return status - except Exception as e: - print(f"Error: {e}") - return None - - def show_all_devices(self): - return self.dev.show_all - - def list_all_macros(self): - return self.macros.list_user_macros() - - def load_user_macros(self): - self.macros.load_all_user_macros() - - def shutdown_client(self): - self.client.shutdown() - - def common2rse(self): - status = self.scans.umv(self.dev.blight_pos, 0, relative=False) - try: - SE.blpos.checkpos() - except NotImplemented as e: - print(f"Backlight position not checked: {e}") - print(f"Moved backlight to position {self.dev.blight_pos.read()} with status {status.status}") - self.scans.umv(self.dev.bs_z, 72.0, self.dev.coll_y, 20.0, self.dev.scin_y, 20.0, self.dev.cryo_pos, 1, relative=False) - self.scans.umv(self.dev.bs_pos, 0, relative=False) - print(f"Moved everything else to park position with status {status.status}") - - if self.dev.bs_z.read().value != 72.0:# or self.dev.coll_y.read() != 20.0 or self.dev.scin_y.read() != 20.0: - print(f"is bs_z correct: {self.dev.bs_z.read().value != 72.0}")# is coll_y correct {self.dev.coll_y.read() != 20.0}, is scin_y correct {self.dev.scin_y.read() != 20.0}") - raise Exception("Error: something went wrong") - - def rse2sa(self): - self.scans.umv(self.dev.blight_pos, 1, relative=False) - self.scans.umv(self.dev.bs_pos, 1, relative = False) - - def mono_pitch_scan_runner(self): - print('this is a print statement from inside DAQ not BEC') - try: - self.macros.mono_pitch_scan(False) - except Exception as e: - print(f"Error: {e}") - class MultiPositionDevice: """inherits from the MultiPositionDevice BEC class @@ -176,7 +99,91 @@ class GuardedPositionedDevice: +class OurBECDevices: + def __init__(self, BECDevices): + print("initialising devices") + init_positioned_devices() + dev = BECDevices + print("devices initialised") + self.coll_y = MultiPositionDevice(device = PD.coll_y, + states = dev.coll_y.user_parameter) + self.scintillator_diode_y = MultiPositionDevice(device = PD.diag_y, + states = dev.diag_y.user_parameter) + self.backlight_pos = PositionedDevice(device = PD.bl_pos) + #self.beamstop_pos = PositionedDevice(device = PD.bs_pos) + self.beamstop_z = GuardedPositionedDevice(device = PD.bs_z) + self.goniometer_x = GuardedPositionedDevice(device = PD.gon_x) # may get deprecated with the IOC + +class BECClientWorker: + def __init__(self, beamline:MXBeamline, name:str = "default"): + BEAMLINE = beamline.value.lower() + service_config = ServiceConfig(redis={"host": f"{BEAMLINE}-bec-001.psi.ch", "port": 6379}) + print(service_config.config) + service_config.config["log_writer"]["base_path"]='./logs' + print(service_config.config) + self.client = BECIPythonClient(config=service_config) + #self.client.config.update_session_with_file("/sls/x10sa/config/bec/production/bec/bec_lib/bec_lib/config_helper.py") + self.client.start() + self.dev = self.client.device_manager.devices + self.scans = self.client.scans + self.macros = self.client.macros + self.load_user_macros() + self.helper = FrontendProcedureHelper(self.client.connector) + self.ProtectedDevices = OurBECDevices(BECDevices=self.dev) + + + def run_macro(self, macro_name:str, *args, queue:str = "default", **kwargs): + return self.client.proc.run_macro(macro_name, *args, queue=queue) + + def run_macro_blocked(self, macro_name:str, *args, queue:str = "default", **kwargs): + try: + status = self.run_macro(macro_name, *args, queue=queue) + print(status) + status.wait() + print(status) + return status + except Exception as e: + print(f"Error: {e}") + return None + + def show_all_devices(self): + return self.dev.show_all + + def list_all_macros(self): + return self.macros.list_user_macros() + + def load_user_macros(self): + self.macros.load_all_user_macros() + + def shutdown_client(self): + self.client.shutdown() + + def common2rse(self): + status = self.scans.umv(self.dev.blight_pos, 0, relative=False) + try: + SE.blpos.checkpos() + except NotImplemented as e: + print(f"Backlight position not checked: {e}") + print(f"Moved backlight to position {self.dev.blight_pos.read()} with status {status.status}") + self.scans.umv(self.dev.bs_z, 72.0, self.dev.coll_y, 20.0, self.dev.scin_y, 20.0, self.dev.cryo_pos, 1, relative=False) + self.scans.umv(self.dev.bs_pos, 0, relative=False) + print(f"Moved everything else to park position with status {status.status}") + + if self.dev.bs_z.read().value != 72.0:# or self.dev.coll_y.read() != 20.0 or self.dev.scin_y.read() != 20.0: + print(f"is bs_z correct: {self.dev.bs_z.read().value != 72.0}")# is coll_y correct {self.dev.coll_y.read() != 20.0}, is scin_y correct {self.dev.scin_y.read() != 20.0}") + raise Exception("Error: something went wrong") + + def rse2sa(self): + self.scans.umv(self.dev.blight_pos, 1, relative=False) + self.scans.umv(self.dev.bs_pos, 1, relative = False) + + def mono_pitch_scan_runner(self): + print('this is a print statement from inside DAQ not BEC') + try: + self.macros.mono_pitch_scan(False) + except Exception as e: + print(f"Error: {e}") # not implemented yet # self.cryo_pos = PD.cryo_pos @@ -185,9 +192,10 @@ class GuardedPositionedDevice: if __name__ == "__main__": import time print('starting BEC Client') + beamline = mx_beamline() try: - service_config = ServiceConfig(redis={"host": "x10sa-bec-001.psi.ch", "port": 6379}) - client = BECClientWorker(service_config) + + client = BECClientWorker(beamline) except Exception as e: print(f"Error: {e}") import sys From 007733532a2687f47b7c98ac6ba2e719270486bb Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 19 Feb 2026 16:44:16 +0100 Subject: [PATCH 081/144] DAQ/COMMON: update imports of aaredb --- src/aare/daq/aaredb.py | 18 +++++++++--------- src/aare/devices/tell_client.py | 5 ++--- src/aare/gui/panels/manual_sample_panel.py | 2 +- 3 files changed, 12 insertions(+), 13 deletions(-) diff --git a/src/aare/daq/aaredb.py b/src/aare/daq/aaredb.py index 295c8f4e..460ba927 100644 --- a/src/aare/daq/aaredb.py +++ b/src/aare/daq/aaredb.py @@ -4,11 +4,11 @@ import json import os from typing import List, Optional -import aareDBclient +import aareDB import cv2 import numpy as np import requests -from aareDBclient import ( +from aareDB import ( SetTellPosition, SampleEventCreate, SampleEventType, @@ -44,16 +44,16 @@ class AareWrapper: bl: MXBeamline, host: str = "https://mx-db-01.psi.ch/dispatcher", ): - configuration = aareDBclient.Configuration(host=host) + configuration = aareDB.Configuration(host=host) configuration.verify_ssl = False # Disable SSL verification - self.client = aareDBclient.ApiClient(configuration) + self.client = aareDB.ApiClient(configuration) self.client.default_headers["X-Shared-Password"] = os.getenv("AAREDB_SHARED_PASSWORD") self.__host = host - self.__tell_api = aareDBclient.TellsRunnerApi(self.client) - self.__sample_api = aareDBclient.SamplesRunnerApi(self.client) - self.__proc_api = aareDBclient.ProcessingsRunnerApi(self.client) - self.__raster_api = aareDBclient.GridscanRunnerApi(self.client) + self.__tell_api = aareDB.TellsRunnerApi(self.client) + self.__sample_api = aareDB.SamplesRunnerApi(self.client) + self.__proc_api = aareDB.ProcessingsRunnerApi(self.client) + self.__raster_api = aareDB.GridscanRunnerApi(self.client) self.__bl = bl def set_pucks_beamline(self, input_list: List[PuckLoadedInfo]): @@ -73,7 +73,7 @@ class AareWrapper: print(ret) def create_manual_sample(self, s: SampleShortInfo): - from aareDBclient.models import ManualSampleCreate + from aareDB.models import ManualSampleCreate manual_sample = ManualSampleCreate( pgroup=s.user, diff --git a/src/aare/devices/tell_client.py b/src/aare/devices/tell_client.py index e047fc37..8f469639 100755 --- a/src/aare/devices/tell_client.py +++ b/src/aare/devices/tell_client.py @@ -15,9 +15,8 @@ from aare.common.models import ( SampleDewarAddress, #PuckInfo, ) -from aareDBclient import ( - PuckWithTellPosition, -) +from aareDB import PuckWithTellPosition + from aare.common.beamline import MXBeamline # noqa: F401 from aare.devices.pshell_client import PShellClient diff --git a/src/aare/gui/panels/manual_sample_panel.py b/src/aare/gui/panels/manual_sample_panel.py index fd39da58..bb0bf81a 100644 --- a/src/aare/gui/panels/manual_sample_panel.py +++ b/src/aare/gui/panels/manual_sample_panel.py @@ -1,6 +1,6 @@ from PySide6.QtCore import Signal, Slot from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QPushButton, QCheckBox, QLineEdit -from aareDBclient import DataCollectionParameters +from aareDB import DataCollectionParameters from aare.common.models import SampleShortInfo, DAQStatusModel from aare.gui.widgets.number_line_edit import NumberLineEdit From 8a996df1b19581e1d5cf30f7479981e150838d44 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 19 Feb 2026 17:10:06 +0100 Subject: [PATCH 082/144] TELL/PShell: removed local pshell client, now use python package import, addded requirement to pyproject.toml --- pyproject.toml | 7 +- src/aare/devices/pshell_client.py | 802 ------------------------------ src/aare/devices/tell_client.py | 2 +- 3 files changed, 5 insertions(+), 806 deletions(-) delete mode 100644 src/aare/devices/pshell_client.py diff --git a/pyproject.toml b/pyproject.toml index 1d6ddde7..044818a6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,9 +5,9 @@ description = "AareDAQ (with GUI)" readme = "README.md" requires-python = ">=3.11" dependencies = [ - "pydantic==2.11.4", + "pydantic==2.11.4", "numpy==2.2.5", - "jfjoch_client==1.0.0rc124", + "jfjoch_client==1.0.0rc126", "pyJWT==2.10.1", "pyzmq==26.4.0", "opencv-python-headless==4.11.0.86", @@ -18,10 +18,11 @@ dependencies = [ "python-redis-lock==4.0.0", "fastapi==0.115.13", "uvicorn==0.34.2", - "aaredb==0.1.1a41", + "aaredb==0.1.1a42", "python_multipart==0.0.20", "websocket-client==1.8.0", "sseclient-py==1.8.0", + "psi-pshell==2.1.0", ] [lint] diff --git a/src/aare/devices/pshell_client.py b/src/aare/devices/pshell_client.py deleted file mode 100644 index 96caebb7..00000000 --- a/src/aare/devices/pshell_client.py +++ /dev/null @@ -1,802 +0,0 @@ -import threading -import time -import sys -import requests -import json - - -try: - from urllib import quote # Python 2 -except ImportError: - from urllib.parse import quote # Python 3 - - -class TimeoutException(Exception): - """Timeout Exception raised by wait methods when a requested state or evenet doesn't arrive in time""" - pass - - -try: - from sseclient import SSEClient -except: - SSEClient = None - -class SSEReceiver: - """Background thread that parses incoming SSE (serveer-sent events) via an event thread and dispatches them to subscribers - :param url - :param subscribed_events""" - def __init__(self, url, subscribed_events): - if SSEClient is None: - raise Exception("sseclient library is not installed: server events are not available") - self.url = url - self.events = subscribed_events - self._lock = threading.Lock() - self._stop = threading.Event() - self.session = None - self.client = None - self.debug = False - self._subscribers = {} - self.thread = threading.Thread(target=self.task, kwargs={}) - self.thread.daemon = True - self.thread.start() - - def task(self): - """SSE event loop task""" - try: - while not self._stop.is_set(): - try: - self.session = requests.Session() - self.client = SSEClient(self.url, session=self.session) - for msg in self.client: - if self.is_closed(): - break - event_name = msg.event or "message" - - if (self.events is None) or (event_name in self.events): - try: - data = json.loads(msg.data) - except: - data = str(msg.data) - #if self.debug: - # print (event_name, data) - with self._lock: - subs = list(self._subscribers.values()) - - for events, callback in subs: - if events is None or event_name in events: - try: - callback(event_name, data) - except Exception as e: - if self.debug: - print(f"[SSEManager] Error in callback {callback}: {e}") - - except IOError as e: - # print(e) - pass - except: - if self.debug: - print("Error:", sys.exc_info()[1]) - finally: - self._close_client() - if self.is_closed(): - break - else: - time.sleep(1.0) - finally: - if self.debug: - print("Exit SSE loop task") - - def subscribe(self, callback, events=None): - """ - Subscribe to SSE events. - - Args: - callback: function(event_name, data) - events: None (all events), str (one event), or list[str] (multiple events) - """ - if isinstance(events, str): - events = [events] - if events is not None: - events = set(events) - - with self._lock: - self._subscribers[id(callback)] = (events, callback) - - def unsubscribe(self, callback): - """Unsubscribe a previously subscribed callback.""" - with self._lock: - self._subscribers.pop(id(callback), None) - - def wait_events(self, events={}, timeout=-1): - """Wait any of the events matching the value (value None for any). - - Args: - events (dict event name->value) - timeout: - Returns: - (event, value) or None if timeout - """ - rx = {} - condition = threading.Condition() - def callback(name, value): - with condition: - rx[name] = value - condition.notify_all() - - self.subscribe(callback, events.keys()) - try: - start = time.time() - with condition: - while True: - for name in events.keys(): - if name in rx.keys(): - values, rx_value = events[name], rx[name] - if values is not None and type(values) is not list: - values = [values] - if values is None or rx_value in values: - return name,rx_value - - remaining = None - if timeout >= 0: - remaining = max(0, timeout - (time.time() - start)) - if remaining <= 0: - return None - condition.wait(timeout=remaining) - finally: - self.unsubscribe(callback) - - - def _close_client(self): - self.client = None - """ - if self.client is not None: - try: - if hasattr(self.client.resp, "raw"): - conn = getattr(self.client.resp.raw, "_connection", None) - if conn and hasattr(conn, "sock") and conn.sock: - conn.sock.shutdown(2) - conn.sock.close() - self.client.resp.close() - self.client = None - except: - pass - """ - if self.session is not None: - try: - self.session.close() - self.session = None - except: - pass - - def close(self): - """Close SSE client - stops the thread and closes resources""" - self._stop.set() - self._close_client() - if self.debug: - print("closed") - - def is_closed(self): - """Return True if SSE client is closed""" - return self._stop.is_set() - -class PShellClient: - """High-level REST API wrapper for the P-Shell service""" - def __init__(self, url): - if not url.endswith('/'): - url = url + "/" - self.url = url - self.sse_event_loop_thread = None - self.sse_client = None - self.plot_defaults = {"format": "png", "width": 600, "height": 400} - self.debug = False - self.polling_interval = 0.1 - - def __enter__(self): - return self - - def __exit__(self, exc_type, exc_val, exc_tb): - self.close() - - def _get(self, url, stream=False): - url = self.url + url - if self.debug: - print("GET " + url) - return requests.get(url=url, stream=stream) - - def _put(self, url, json_data=None): - url = self.url + url - if self.debug: - print("PUT " + url + " -> " + json.dumps(json_data)) - return requests.put(url=url, json=json_data) - - def _del(self, url): - url = self.url + url - if self.debug: - print("DEL " + url) - return requests.delete(url=url) - - def _get_response(self, response, is_json=True): - if self.debug == True or self.debug == "rx": - print(" -> " + str(response.status_code) + ((" - " + response.text) if self.debug == "rx" else "")) - try: - response.raise_for_status() - except: - print(response.text) - raise - return json.loads(response.text) if is_json else response.text - - def _get_binary_response(self, response): - response.raise_for_status() - return response.raw.read() - - def get_plot_defaults(self): - """Return plot default properties. - - Args: - - Returns: - Dictionary - - """ - return self.plot_defaults.copy() - - def set_plot_defaults(self, defaults): - """Update plot default properties. - - Args: - Dictionary that will updated into the plot default properties. - Returns: - - """ - self.plot_defaults.update(defaults) - - def get_version(self): - """Return application version. - - Args: - - Returns: - String with application version. - - """ - return self._get_response(self._get("version"), False) - - def get_config(self): - """Return application configuration. - - Args: - - Returns: - Dictionary. - """ - return self._get_response(self._get("config")) - - def get_state(self): - """Return application state. - - Args: - - Returns: - String: Invalid, Initializing,Ready, Paused, Busy, Disabled, Closing, Fault, Offline - """ - return self._get_response(self._get("state")) - - def wait_state(self, state, timeout=-1): - """Wait application state equals. - - Args: - state (string or list of strings) - timeout(number) wait timeout in seconds. If less or equal 0 then wait forever. - Returns: - """ - if type(state) == str: - state = [state] - start = time.time() - while self.get_state() not in state: - if (timeout >= 0) and ((time.time() - start) > timeout): - raise TimeoutException(f"Timeout waiting state {state}") - time.sleep(self.polling_interval) - - def wait_state_not(self, state, timeout=-1): - """Wait application state different than. - - Args: - state (string or list of strings) - timeout(number) wait timeout in seconds. If less or equal 0 then wait forever. - Returns: - """ - if type(state) == str: - state = [state] - start = time.time() - while self.get_state() in state: - if (timeout >= 0) and ((time.time() - start) > timeout): - raise TimeoutException(f"Timeout waiting state not {state}") - time.sleep(self.polling_interval) - - def get_logs(self): - """Return application logs. - - Args: - - Returns: - List of logs. - Format of each log: [date, time, origin, level, description] - - """ - return self._get_response(self._get("logs")) - - def get_history(self, index): - """Access console command history. - - Args: - index(int): Index of history entry (0 is the most recent) - - Returns: - History entry - - """ - return self._get_response(self._get("history/" + str(index)), False) - - def get_script(self, path): - """Return script. - - Args: - path(str): Script path (absolute or relative to script folder) - - Returns: - String with file contents. - - """ - return self._get_response(self._get("script/" + str(path)), False) - - def get_devices(self): - """Return global devices. - - Args: - - Returns: - List of devices. - Format of each device record: [name, type, state, value, age] - - """ - return self._get_response(self._get("devices")) - - def abort(self, command_id=None): - """Abort execution of command - - Args: - command_id(optional, int): id of the command to be aborted. - if None (default), aborts the foreground execution. - - Returns: - - """ - if command_id is None: - self._get("abort") - else: - return self._get("abort/" + str(command_id)) - - def pause(self): - """Pause execution of command - - Args: - - Returns: - - """ - self._get("pause") - - def resume(self): - """Resume execution of command - - Args: - - Returns: - - """ - self._get("resume") - - def reinit(self): - """Reinitialize the software. - - Args: - - Returns: - - """ - self._get("reinit") - - def stop(self): - """Stop all devices implementing the 'Stoppable' interface. - - Args: - - Returns: - - """ - self._get("stop") - - def update(self): - """Update all global devices. - - Args: - - Returns: - - """ - self._get("update") - - def eval(self, statement): - """Evaluates a statement in the interpreter. - If the statement finishes by '&', it is executed in background. - Otherwise statement is executed in foreground (exclusive). - - Args: - statement(str): input statement - - Returns: - String containing the console return. - If an exception is produces in the interpretor, it is re-thrown here. - """ - statement = quote(statement) - return self._get_response(self._get("eval/" + statement), False) - - def run(self, script, pars=None, background=False): - """Executes script in the interpreter. - - Args: - script(str): name of the script (absolute or relative to the script base folder). Extension may be omitted. - pars(optional, list or dict): if a list is given, it sets sys.argv for the script. - If a dict is given, it sets global variable for the script. - background(optional, bool): if True script is executed in background. - - Returns: - Return value of the script. - If an exception is produces in the interpretor, it is re-thrown here. - """ - return self._get_response( - self._put("run", {"script": script, "pars": pars, "background": background, "async": False})) - - def start_eval(self, statement): - """Starts evaluation of a statement in the interpreter. - If the statement finishes by '&', it is executed in background. - Otherwise statement is executed in foreground (exclusive). - - Args: - statement(str): input statement - - Returns: - Command id (int), which is used to retrieve command execution status/result (get_result). - """ - statement = quote(statement) - return int(self._get_response(self._get("evalAsync/" + statement), False)) - - def eval_json(self, statement): - """Evaluates a statement in the interpreter. - Args: - statement(str): input statement - - Returns: - Return object decoded from JSON string - """ - statement = quote(statement) - return self._get_response(self._get("eval-json/" + statement), True) - - def eval_then(self, statement, on_success=True, on_exception=True): - """Set a next execution stage for the interpreter - the statement is executed - after the foreground task concludes, keeping application state busy. - - Args: - statement(str): statement for next execution stage - on_successs(bool): statement is executed if foreground task completes successfully. - on_exception(bool): statement is executed if foreground task throws exception. - """ - return self._get_response( - self._put("then", {"statement": statement, "onSuccess": on_success, "onException": on_exception})) - - def run_then(self, script, pars=None, on_success=True, on_exception=True): - """Set a next execution stage for the interpreter - the script is executed - after the foreground task concludes, keeping application state busy. - - Args: - script(str): name of the script (absolute or relative to the script base folder). Extension may be omitted. - pars(optional, list or dict): if a list is given, it sets sys.argv for the script. - If a dict is given, it sets global variable for the script. - on_successs(bool): statement is executed if foreground task completes successfully. - on_exception(bool): statement is executed if foreground task throws exception. - """ - cmd = f"run('{script}', {pars})" - return self.eval_then(cmd, on_success, on_exception) - - def set_var(self, name, value): - """Sets interpreter variable. - Args: - name(str): variable name - value(obj): value - must be JSON compatible - - Returns: - - """ - data = {} - data["name"] = name - data["value"] = value - return self._get_response(self._put("set-var", data), False) - - def start_run(self, script, pars=None, background=False): - """Starts execution of a script in the interpreter. - - Args: - script(str): name of the script (absolute or relative to the script base folder). Extension may be omitted. - pars(optional, list or dict): if a list is given, it sets sys.argv for the script. - If a dict is given, it sets global variable for the script. - background(optional, bool): if True script is executed in background. - - Returns: - Command id (int), which is used to retrieve command execution status/result (get_result). - """ - return int(self._get_response( - self._put("run", {"script": script, "pars": pars, "background": background, "async": True}))) - - def get_result(self, command_id=-1): - """Gets status/result of a command executed asynchronously (start_eval and start_run). - - Args: - command_id(optional, int): command id. If equals to -1 (default) return status/result of the foreground task. - - Returns: - Dictionary with the fields: 'id' (int): command id - 'status' (str): unlaunched, invalid, removed, running, aborted, failed or completed. - 'exception' (str): if status equals 'failed', holds exception string. - 'return' (obj): if status equals 'completed', holds return value of script (start_run) - or console return (start_eval) - """ - return self._get_response(self._get("result/" + str(command_id))) - - def help(self, input=""): - """Returns help or auto-completion strings. - - Args: - input(optional, str): - ":" for control commands - - "" for builtin functions - - "devices" for device names - - builtin function name for function help - - else contains entry for auto-completion - - Returns: - List - - """ - return self._get_response(self._get("autocompletion/" + input)) - - def get_contents(self, path=None): - """Returns contents of data path. - - Args: - path(optional, str): Path to data relative to data home path. - - Folder - - File - - File (data root) | internal path - - internal path (on currently open data root) - - Returns: - List of contents - - """ - return self._get_response(self._get("contents" + ("" if path is None else ("/" + path))), False) - - def get_data(self, path, type="txt"): - """Returns data on a given path. - - Args: - path(str): Path to data relative to data home path. - - File (data root) | internal path - - internal path (on currently open data root) - type(optional, str): txt, "json", "bin", "bs" - - Returns: - Data accordind to selected format/. - - """ - if type == "json": - return self._get_response(self._get("data-json/" + path), True) - elif type == "bin": - return self._get_binary_response(self._get("data-bin/" + path, stream=True)) - elif type == "bs": - from collections import OrderedDict - bs = self._get_binary_response(self._get("data-bs/" + path, stream=True)) - index = 0 - msg = [] - for i in range(4): - size = int.from_bytes(bs[index:index + 4], byteorder='big', signed=False) - index = index + 4 - msg.append(bs[index:index + size]) - index = index + size - [main_header, data_header, data, timestamp] = msg - main_header = json.loads(main_header, object_pairs_hook=OrderedDict) - data_header = json.loads(data_header, object_pairs_hook=OrderedDict) - channel = data_header["channels"][0] - channel["encoding"] = "<" if channel.get("encoding", "little") else ">" - from bsread.data.helpers import get_channel_reader - channel_value_reader = get_channel_reader(channel) - return channel_value_reader(data) - - return self._get_response(self._get("data" + ("" if path is None else ("/" + path))), False) - - def get_data_attrs(self, path): - return self._get_response(self._get("data-attr/" + path), True) - - def get_data_info(self, path): - return self._get_response(self._get("data-info/" + path), True) - - def get_scan_data(self, layout, path, group, device, type="txt"): - """Returns scan data of a device. - - Args: - layout(str): data layout - path(str): scan path - group(str): scan group - device(str): device name - type(optional, str): txt, "json", "bin" - - Returns: - Data accordind to selected format. - - """ - if layout is None or layout.strip() == "" or path is None: - raise Exception("Invalid scan persistence path or layout") - path = path.replace("/", "
    ") - path = path.replace("|", "

    ") - group = group.replace("/", "
    ") - layout = layout.replace(".", "
    ") - url = layout + "/" + path + "/" + group + "/" + device - if type == "json": - url = "scandata-json/" + url - return self._get_response(self._get(url), True) - elif type == "bin": - url = "scandata-bin/" + url - return self._get_binary_response(self._get(url, stream=True)) - url = "scandata/" + url - return self._get_response(self._get(url), False) - - def get_plot_contexts(self): - """Return list of plot contexts - - Args: - - Returns: - List of names - - """ - return self._get_response(self._get("plots")) - - def delete_plot_context(self, title): - """ - Delete a plotting context. - - Args: - title(str): name of the plotting context - - Returns: - - """ - return self._get_response(self._del("plots/" + title), False) - - def get_num_plots(self, title=None): - """Return number of plots in a given plotting context. - - Args: - title(str): name of the plotting context - - Returns: - Number of plots - - """ - if title is None: - title = "null" - return int(self._get_response(self._get("plots/" + title))) - - def get_plot(self, title=None, index=0, format="png", width=None, height=None): - """Return a plot as a given image type. - - Args: - title(str): name of the plotting context - index(int): plot index (0-based) - format(str): plot format ("jpg", "png", "gif", "tif") - width(int): plot width (if 0 gets plot staddard size) - height(int): plot height (if 0 gets plot staddard size) - Returns: - Image file byte array - - """ - if title is None: - title = "null" - if format is None: - format = self.plot_defaults["format"] - if width is None: - width = self.plot_defaults["width"] - if height is None: - height = self.plot_defaults["height"] - - url = "plot/" + title + "/" + str(index) + "/" + format + "/" + str(width) + "/" + str(height) - return self._get_binary_response(self._get(url, stream=True)) - - def print_logs(self): - for l in self.get_logs(): - print("%s %s %-20s %-8s %s" % tuple(l)) - - def print_devices(self): - for l in self.get_devices(): - print("%-16s %-32s %-10s %-32s %s" % tuple(l)) - - def print_help(self, input=""): - for l in self.help(input): - print(l) - - def _get_sse(self): - if self.sse_client is None: - self.sse_client = SSEReceiver(self.url + "events", None) - self.sse_client.debug = self.debug - return self.sse_client - - def subscribe(self, callback=None, events=None): - """ - Subscribe to SSE events. - - Args: - callback: function(event_name, data), If None, calls self.on_event - events: None (all events), str (one event), or list[str] (multiple events) - - Usage example: - def on_event(name, value): - if name == "state": - print ("State changed: ", value) - elif name == "record": - print ("Received scan record: ", value) - - pc.subscribe(["state", "record"], on_event) - """ - if callback == None: - callback = self.on_event - self._get_sse().subscribe(callback, events) - - def unsubscribe(self, callback): - """Unsubscribe a previously subscribed callback.""" - self._get_sse().unsubscribe(callback) - - def wait_events(self, events={}, timeout=-1): - """Wait any of the events matching the value (value None for any). - - Args: - events (dict event name->value) - timeout(number) wait timeout in seconds. If less or equal 0 then wait forever. - Returns: - (event, value) or raises TimeoutException - - Usage example: - def on_event(name, value): - if name == "state": - print ("State changed: ", value) - elif name == "record": - print ("Received scan record: ", value) - - pc.subscribe(["state", "record"], on_event) - - """ - ret = self._get_sse().wait_events(events, timeout) - if ret is None: - raise TimeoutException(f"Timeout waiting for events {events}") - return ret - - def on_event(self, name, value): - """ - Default event callback - Args: - name: event name. - value: event value. - """ - pass - - def close(self): - if self.sse_client is not None: - self.sse_client.close() - diff --git a/src/aare/devices/tell_client.py b/src/aare/devices/tell_client.py index 8f469639..ab664eae 100755 --- a/src/aare/devices/tell_client.py +++ b/src/aare/devices/tell_client.py @@ -18,7 +18,7 @@ from aare.common.models import ( from aareDB import PuckWithTellPosition from aare.common.beamline import MXBeamline # noqa: F401 -from aare.devices.pshell_client import PShellClient +from pshell import PShellClient logger = setup_logger("aareDAQ") From c77ddad56b002cef309e2a5ca17eeeee4f2ff6f8 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 19 Feb 2026 17:11:51 +0100 Subject: [PATCH 083/144] TELL: major refactor, removing redundant code, added a simulated tell client, updated docstrings and comments and converted wait functions to use inbuilt pshell functionality. --- src/aare/devices/tell_client.py | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/src/aare/devices/tell_client.py b/src/aare/devices/tell_client.py index ab664eae..87d21a15 100755 --- a/src/aare/devices/tell_client.py +++ b/src/aare/devices/tell_client.py @@ -23,22 +23,27 @@ from pshell import PShellClient logger = setup_logger("aareDAQ") class ManualMountException(Exception): + """Custom exception for manual mounting""" pass class SmartMagnetFaultException(Exception): + """Custom exception for smart magnet fault""" pass class TellMountFailedException(Exception): + """Custom exception for mount failure""" pass class TellCommandWhileBusyException(Exception): + """Custom exception for trying to move Tell when it is busy""" pass class TellConnectionException(Exception): + """Custom exception for connection problems""" pass VALID_DEWAR_POSITIONS = [f"{p}{n}" for n in "12345" for p in "ABCDEFX"] @@ -217,8 +222,8 @@ class TellClient: return output def set_samples_info(self, info: List[PuckWithTellPosition]): - if self.__simulation: - return + """sets the samples in the robot dewar based on the given list of PuckWithTellPosition objects + and runs set_sample_info in the background""" j = [] for x in info: @@ -242,8 +247,7 @@ class TellClient: # self.pshell.eval("set_samples_info(" + json.dumps(info) + ")&") def start_cmd(self, cmd, *argv): - if self.__simulation: - return 666 # FIXME should be different? + """starts a command on the robot and returns the command id""" cmd = cmd + "(" for a in argv: cmd = cmd + (("'" + a + "'") if type(a) is str else str(a)) + ", " @@ -280,7 +284,9 @@ class TellClient: time.sleep(0.2) def check_command_ok(self, timeout: float = 360.0, msg: str = ""): - self.wait_mount_complete(timeout) + """checks to see if the last command issued to the robot was completed and returns the result + Returns an exception if the command result doesnt return completed or removed""" + self.wait_not_busy(timeout) result = self.get_result(self._last_cmd_id) logger.debug(f"{msg} {result}") status = result["status"] From 9dffeec1e5ebce742da5c0da401b41b6f568bf8f Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 19 Feb 2026 17:12:01 +0100 Subject: [PATCH 084/144] TELL: major refactor, removing redundant code, added a simulated tell client, updated docstrings and comments and converted wait functions to use inbuilt pshell functionality. --- src/aare/devices/tell_client.py | 547 ++++++++++++-------------------- 1 file changed, 210 insertions(+), 337 deletions(-) diff --git a/src/aare/devices/tell_client.py b/src/aare/devices/tell_client.py index 87d21a15..2883c4f2 100755 --- a/src/aare/devices/tell_client.py +++ b/src/aare/devices/tell_client.py @@ -10,10 +10,8 @@ import requests from aare.common.logger_config import setup_logger from aare.common.models import ( PuckLoadedInfo, - SampleShortInfo, DewarAddress, SampleDewarAddress, - #PuckInfo, ) from aareDB import PuckWithTellPosition @@ -48,6 +46,10 @@ class TellConnectionException(Exception): VALID_DEWAR_POSITIONS = [f"{p}{n}" for n in "12345" for p in "ABCDEFX"] +def is_valid_dewar_position(position): + """check if argument is a valid dewar position""" + return position in VALID_DEWAR_POSITIONS + POSITION_PARK = "pPark" POSITION_COLD = "pCold" POSITION_AUX = "pAux" @@ -58,39 +60,38 @@ POSITION_HEATER = "pHeatB" #Nov 26 13:36:00 mx-x06da-queue-01.psi.ch AareDAQ[2944444]: 2025-11-26 13:36:00,388 - aareDAQ - ERROR - Error getting status: ('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer')) class TellClient: + """High-level Tell robot API using PShellClient""" def __init__(self, bl: MXBeamline): self.__url = None beamline = bl.value.lower() - if bl == MXBeamline.SIMULATED: - self.__simulation = True - elif bl == MXBeamline.X06DA: - self.__simulation = False + self.__beamline = bl + if bl == MXBeamline.X06DA: self.__url = f"http://{beamline}-tell.psi.ch:22222" + elif bl == MXBeamline.X10SA: - self.__simulation = False self.__url = f"http://PC17488:22222" - if self.__simulation: - print("TELL P-Shell in SIMULATION mode") + elif bl == MXBeamline.X06SA: + self.__url = f"" + raise NotImplemented(f"TellClient not implemente for {beamline}") + elif bl == MXBeamline.SIMULATED: + raise NotImplemented(f"Use SimClient, generate tell client using" + f"make_tell_client(beamline)") else: - print(f"Connecting TELL p-shell service at {self.__url} ...", end="") - hostname = urlparse(self.__url).hostname - try: - requests.get(f"{self.__url}/history/0", timeout=1.0) - except ConnectionError: - print(f"...connection to {hostname} failed") - raise - except requests.ReadTimeout: - print(f"...PShell service {hostname} is down") - raise - self.pshell = PShellClient(self.__url) - self._simulated_samples_info = {} - self._simulated_detected_pucks = [] - self._simulated_mounted_sample = "" - self._simulated_current = 30.0 - self._simulated_suppress = True - self._simulated_state = "Ready" - self._simulated_offset = 0.0 + raise ValueError(f"Unknown beamline {beamline}") + + print(f"Connecting TELL p-shell service at {self.__url} ...", end="") + hostname = urlparse(self.__url).hostname + try: + requests.get(f"{self.__url}/history/0", timeout=1.0) + except ConnectionError: + print(f"...connection to {hostname} failed") + raise + except requests.ReadTimeout: + print(f"...PShell service {hostname} is down") + raise + self.pshell = PShellClient(self.__url) + self._aborted = False self.state = self.get_state() self.debug = False @@ -98,129 +99,44 @@ class TellClient: @property def url(self): + """returns the configured base url for the Tell robot""" return self.__url - def smc_get_current(self) -> float: - if self.__simulation: - return 30.0 - return json.loads(self.pshell.eval("smart_magnet.get_current()&")) - - def smc_set_current(self, current: float): - if self.__simulation: - return - self.pshell.eval(f"smart_magnet.set_current({current:.1f})&") - - def smc_get_suppress(self) -> bool: - if self.__simulation: - return self._simulated_suppress - return json.loads(self.pshell.eval("smart_magnet.get_supress()&")) - - def smc_set_suppress(self, state: bool): - if self.__simulation: - self._simulated_suppress = state - return - self.pshell.eval(f"smart_magnet.set_supress({state})&") - - def check_smc(self): - self.pshell.eval("smart_magnet.set_supress(False)&") - self.pshell.eval("smart_magnet.set_resting_current()&") - self.pshell.eval("smart_magnet.check_mounted(idle_time=1.0, timeout=1.0") - - def magnet_blower(self, state): - """turn on/off blower to the magnet for de-icying purposes - - state = false (blower is off) - state = true (blower is on) - """ - if X06DA: - self.pshell.eval(f"set_pin_cleaner({state})&") - else: - cmd = "true" if state else "false" - self.pshell.eval(f'robot.evaluate("doFOut1={cmd}")&') - def get_state(self): - if self.__simulation: - return self._simulated_state + """returns the current state of the robot""" self.state = self.pshell.get_state() return self.state def get_result(self, command_id=-1): - if self.__simulation: - return { - "id": self._last_cmd_id, - "status": "completed", - "exception": "", - "return": (True, "PINCODE6546"), - } + """returns the result of the last command issued to the robot""" return self.pshell.get_result(command_id) - def wait_ready(self): - if self.__simulation: - logger.info("simulated wait_ready") - time.sleep(3.0) - self._simulated_state = "Ready" - return - # Monitors event but polls every second just n case an event is missed - logger.debug(f"Waiting for robot to be ready. Current state: {self.state} Get state: {self.get_state()}") - while True: - if self.state != "Busy": - logger.debug(f"Robot is now ready...? {self.state} Get:{self.get_state()}") - break - time.sleep(0.2) - self.get_state() - if self.state != "Ready": - if self.state == "Initializing": - raise Exception("Tell reconnecting") - elif self.state == "Closing": - raise Exception("Tell is disconnecting") - raise Exception("Invalid state: " + str(self.state)) + def wait_ready(self, timeout: float = 360.0): + """waits until the robot is ready to accept commands returns None if simulation + and raises an exception if the robot is not ready""" + self.pshell.wait_state("Ready", timeout=timeout) + + def wait_not_busy(self, timeout: float = 360.0): + """waits until the robot is not busy and returns None if simulation + and raises an exception if the robot is busy""" + self.pshell.wait_state_not("Busy", timeout=timeout) + state = self.get_state() + if state != "Ready": + if state == "Initializing": + raise TellConnectionException("Tell reconnecting") + elif state == "Closing": + raise TellConnectionException("Tell is disconnecting") + raise Exception("Invalid state: " + str(state)) def set_in_mount_position(self, value): - if self.__simulation: - return + """tells the robot that the beamlien is safe and to set the in mount position flag allowing mounting + :param value """ self.pshell.eval("in_mount_position = " + str(value) + "&") - def is_in_mount_position(self): - if self.__simulation: - return True + def is_in_mount_position(self) -> bool: + """checks to see if the robot is in the mount position and returns a boolean""" return self.pshell.eval("in_mount_position&").lower() == "true" - def set_simulated_mounted_sample(self, info): - self._simulated_mounted_sample = info - - def set_simulated_samples_info(self, samples): - self._simulated_samples_info = samples - - def set_simulated_detected_pucks(self, pucks): - self._simulated_detected_pucks = pucks - - def get_samples_info(self) -> List[SampleShortInfo]: - if self.__simulation: - j = self._simulated_samples_info # FIXME - else: - j = json.loads(self.pshell.eval("get_samples_info()&")) - - output: List[SampleShortInfo] = [] - for i in j: - if len(i["puckAddress"]) == 2: - dewar_location = DewarAddress( - segment=i["puckAddress"][0], pos=i["puckAddress"][1] - ) - else: - dewar_location = None - - output.append( - SampleShortInfo( - puck_name=i["puckBarcode"], - dewar_name=i["dewarName"], - sample_name=i["sampleName"], - pin=i["samplePosition"], - user=i["userName"], - location=dewar_location, - ) - ) - return output - def set_samples_info(self, info: List[PuckWithTellPosition]): """sets the samples in the robot dewar based on the given list of PuckWithTellPosition objects and runs set_sample_info in the background""" @@ -256,33 +172,6 @@ class TellClient: self.get_state() return ret - def wait_cmd(self, cmd): - if self.__simulation: - return {True, "BARCODE_BIGUS"} - self.wait_ready() - result = self.get_result(cmd) - # print (result) - if result["exception"] is not None: - raise Exception(result["exception"]) - return result["return"] - - def is_cmd_completed(self, cmd): - if self.__simulation: - return True - return self.get_result(cmd)["status"] != "running" - - def wait_mount_complete(self, timeout: float = 360): - if self.__simulation: - time.sleep(1.0) - return - logger.debug(f"Waiting for mount to complete. Is busy? {self.is_busy()}") - timeisup = timeout + time.time() - while time.time() < timeisup: - if not self.is_busy(): - logger.debug(f"Finished waiting for mount to complete. Is busy? {self.is_busy()}") - break - time.sleep(0.2) - def check_command_ok(self, timeout: float = 360.0, msg: str = ""): """checks to see if the last command issued to the robot was completed and returns the result Returns an exception if the command result doesnt return completed or removed""" @@ -290,13 +179,16 @@ class TellClient: result = self.get_result(self._last_cmd_id) logger.debug(f"{msg} {result}") status = result["status"] - if "completed" != status: + if "completed" != status: #FIXME this is very limiting and depends on tell reporting statuses if "removed" != status: raise TellMountFailedException(f"{msg} {result}") else: return f"{msg} {result}" def estimate_mounting_time(self, segment) -> int: + """Adds additional time if cooling/drying is expected based on requested segment, + current sample segment and gripper position. + :param segment: any - however valid segment ABCDEFX """ try: current_mounted = self.get_mounted_sample() gripper_in_cold = self.is_in_cold() @@ -327,24 +219,21 @@ class TellClient: wait: bool = False, # blocking operation timeout: float = 600.0, ): + """send api request to mount sample from dewer after validating dewer address returns None or repsonse. + If the robot is busy, mount will raise an exception. + :param address: SampleDewarAddress + :param force: bool + :param read_dm: bool + :param auto_unmount: bool + :param wait: bool + :param timeout: float + """ SampleDewarAddress.model_validate(address) segment = address.puck.segment puck = address.puck.pos sample = address.pin - if self.__simulation: - self._last_cmd_id = random.randint(1000, 9999) - logger.info( - f"simulated mount({segment}, {puck}, {sample}) -> {self._last_cmd_id}" - ) - self._simulated_mounted_sample = f"{segment}{puck}{sample}" - if random.random() < 0.1: - logger.info("simulated failed mount") - raise TellMountFailedException(f"mount failed for {segment}{puck}") - - return self._last_cmd_id - if self.is_busy(): raise TellCommandWhileBusyException("mount received while robot is busy") @@ -386,10 +275,10 @@ class TellClient: return None def unmount(self, force=False, wait=False, timeout=360.0): - # Force has a meaning, will unmount even if smart magnet is not detecting sample - if self.__simulation: - print("simulated unmount") - return + """send api request to unmount sample from dewer returns None or repsonse. + :param force: bool Force has a meaning, will unmount even if smart magnet is not detecting sample + :param wait: bool If true will wait until unmount is completed + :timeout: float""" if self.is_busy(): raise TellCommandWhileBusyException("mount received while robot is busy") @@ -401,72 +290,51 @@ class TellClient: return self._last_cmd_id - def scan_pin(self, segment, puck, sample, force=False): - return self.start_cmd("scan_pin", segment, puck, sample, force) - - def scan_puck(self, segment, puck, force=False): - return self.start_cmd("scan_puck", segment, puck, force) - def dry(self, heat_time=None, speed=None, wait_cold=None, wait=False): - if self.__simulation: - time.sleep(5.0) + """send api request to dry tell gripper. + :param: heat_time float if None Tell will use default for drying time + :param: speed float if None Tell will use default for drying speed + :param: wait_cold bool if -1 to go to park after dry. if None Tell will use default time to wait_cold. + :param wait: bool If true will wait until drying is completed + """ self.pshell.wait_state("Ready", timeout=30.0) self._last_cmd_id = self.start_cmd("dry", heat_time, speed, wait_cold) if wait: self.check_command_ok(timeout=360.0, msg=f"Dry failed") def move_park(self, wait=False): - if self.__simulation: - return + """send api request to move robot to park position""" self._last_cmd_id = self.start_cmd("move_park") if wait: self.check_command_ok(timeout=360.0, msg=f"Move to park failed") def move_cold(self, reset_timestamp=False, wait=False): - if self.__simulation: - return + """send api request to move robot to cold position""" self._last_cmd_id = self.start_cmd("move_cold", reset_timestamp) if wait: self.check_command_ok(timeout=360.0, msg=f"Move to cold failed") - def trash(self): - if self.__simulation: - return - return self.start_cmd("trash_sample") - def abort_cmd(self): - if self.__simulation: - print("simulated abort") - return + """sends an abort pshell requesst and a robot stop task command""" self.pshell.abort() self.pshell.eval("robot.stop_task()&") - def set_gonio_mount_position(self, homing=False): - if self.__simulation: - return - if homing: - self.pshell.eval("home_fast_table()") - self.pshell.eval("set_mount_position()") - def set_setting(self, key: str, value: str): + """wrapper for pshell eval set_setting command + :param key str, name of a setting in tell + :param value str, the new value of the setting as a string""" self.pshell.eval(f"set_setting('{key}', '{value}')&") def get_setting(self, key: str) -> str: + """wrapper for pshell eval get_setting command, returns the current value for key as a string + :param key str, name of a setting in tell""" return self.pshell.eval(f"get_setting('{key}')&") - def enable_room_temperature(self): - self.set_setting("room_temperature_enabled", "true") - - def disable_room_temperature(self): - self.set_setting("room_temperature_enabled", "false") - def get_mounted_sample(self) -> SampleDewarAddress | None: - if self.__simulation: - ret = self._simulated_mounted_sample - else: - ret = self.pshell.eval("get_setting('mounted_sample_position')&").strip() + """get the current mounted sample and return a SampleDewarAddress object or None if no sample is mounted""" + ret = self.get_setting('mounted_sample_position').strip() if not ret or len(ret) == 0: return None @@ -481,47 +349,21 @@ class TellClient: return None def get_system_check(self): - if self.__simulation: - if random.random() < 0.1: - raise RuntimeError("get_system_check_failed") - return "Ok" + """returns the current system check status""" return self.pshell.eval("system_check_msg()&") def get_robot_state(self): - if self.__simulation: - return "Ready" + """returns the current robot state""" return self.pshell.eval("robot.state&") def get_robot_status(self): - if self.__simulation: - return { - "powered": True, - "settled": True, - "speed": 100, - "empty": True, - "mode": "remote", - "task": None, - "pos": "pCold", - "open": True, - "status": "move", - } - + """returns the current robot status""" status = self.pshell.eval("robot.take()&") return eval(status) # FIXME ALL functions must return a valid JSON object - def get_speed(self) -> float: - if self.__simulation: - if random.random() < 0.1: - return random.choice([1, 5, 25, 50, 75, 90]) - return 100.0 - speed = self.get_robot_status()["speed"] - return float(speed) - def get_detected_pucks(self) -> List[PuckLoadedInfo]: - if self.__simulation: - j = self._simulated_detected_pucks - else: - j = json.loads(self.pshell.eval("get_pucks_info()&")) + """returns a list of detected pucks as PuckLoadedInfo objects""" + j = json.loads(self.pshell.eval("get_pucks_info()&")) output = [] @@ -539,17 +381,8 @@ class TellClient: ) return output - def set_pin_offset(self, value): - if self.__simulation: - print(f"simulated set_pin_offset {value}") - self._simulated_offset = value - return - self.pshell.eval("set_pin_offset(" + str(value) + ")&") - def get_pin_offset(self): - if self.__simulation: - print(f"simulated get_pin_offset -> {self._simulated_offset}") - return self._simulated_offset + """get the pin offset for the smart magnet, returns offset as a float""" try: offset = float(self.pshell.eval("get_pin_offset()&")) except Exception: @@ -557,112 +390,79 @@ class TellClient: return offset def get_current(self): - if self.__simulation: - return self._simulated_current + """get the current drawn by the smart magnet, returns current as a float in mA""" current = self.pshell.eval("smart_magnet.get_current_rb()&") return float(current) - def set_current(self, current): - if self.__simulation: - self._simulated_current = current - return + def set_current(self, current: float) -> float: + """set the current drawn by the smart magnet, returns current as a float in mA""" self.pshell.eval("smart_magnet.set_current({:.1f})&".format(current)) current = self.pshell.eval("smart_magnet.get_current_rb()&") return float(current) - def print_info(self): - print("State: " + str(self.get_state())) - print("Mounted sample: " + str(self.get_mounted_sample())) - print("System check: " + str(self.get_system_check())) - print("Robot state: " + str(self.get_robot_state())) - print("Robot status: ") - status = self.get_robot_status() - status = status - for k, v in status.items(): - print(f"{k:>10s}: {v}") - print("Pin offset: " + str(self.get_pin_offset())) - print("Mount position: " + str(self.is_in_mount_position())) - print("") - def is_powered(self): - if self.__simulation: - return True + """returns True if the robot is powered on""" return self.get_robot_status()["powered"] def check_enable_motion(self): - if self.__simulation: - if random.random() < 0.1: - raise RuntimeError("check_enable_motion failed") + """check if the robot is powered on and enable motion if not""" if not self.is_powered(): self.pshell.eval("enable_motion()&") - def is_in_park(self): - if self.__simulation: - return True - return self.is_position(POSITION_PARK) - - def is_in_home(self): - if self.__simulation: - return False - return self.is_position(POSITION_HOME) - def is_in_cold(self): - if self.__simulation: - return False + """Compare current robot position to the set cold position. Returns True if in cold position, False otherwise.""" return self.is_position(POSITION_COLD) def is_position(self, position: str) -> bool: + """Compare current robot position to a given position. Returns True if in position, False otherwise.""" return position == self.get_robot_status()["pos"] - def get_task(self): - """ - robot_status = { - 'powered': False, - 'settled': True, - 'speed': 10, - 'empty': True, - 'mode': 'remote', - 'task': None, - 'pos': 'pPark', - 'open': True, - 'status': 'hold' - } - :return: - """ - status = self.get_robot_status() - return status["task"] - def is_ready(self): + """returns True if the robot is ready to receive commands""" return "ready" == self.get_state().lower() def is_busy(self): + """returns True if the robot is busy""" return "busy" == self.get_state().lower() def check_smart_magnet_mounted(self, timeout: float = 10.0, idle_time: float = 1.0, interval: float = 0.1): + """Reads smart_magent state and tries to infer if a sample is present + Handles: PAUSED, Fault, Busy and Ready states. + Raises a ManualMountException is the amgnet indicates a sample is present but get_mounted_sample is None. + Raises a SmartMagnetFaultException if the magnet detects no sample but the robot thinks a sample is mounted""" + #TODO tidy up initial_state = self.pshell.eval("smart_magnet.state&") + logger.debug(f"checking smart magnet_initial state: {initial_state}") + if initial_state == "Paused": self.pshell.eval("smart_magnet.set_supress(False)&") self.pshell.eval("smart_magnet.set_resting_current()&") + elif initial_state == "Fault": logger.error(f"tell smart magnet is in unknown state {initial_state}") raise SmartMagnetFaultException - #time.sleep(1.0) + state = self.pshell.eval("smart_magnet.state&") try: - # sample_present = bool(self.pshell.eval( - # f"smart_magnet.check_mounted(idle_time={str(idle_time)}, timeout={str(timeout)}, interval={str(interval)})")) - #logger.debug(f"sample present: {sample_present} of type {type(sample_present)}") - #time.sleep(1.0) if state == "Busy": logger.debug('state busy') self.pshell.eval("smart_magnet.set_supress(True)&") self.pshell.eval("smart_magnet.state&") sample_present = True + if self.get_mounted_sample() is None: + logger.warning("Check mount: A manually mounted sample is detected.") + logger.warning("Remove before mounting with the robot.") + raise ManualMountException + return True elif state == "Ready": logger.debug('No sample detected, ready to mount') sample_present = False + if self.get_mounted_sample(): + logger.error("Check mount: No sample detected, but robot thinks is mounted") + raise SmartMagnetFaultException + return False elif state == "Paused": logger.debug("Smart magnet detection is paused") return None @@ -670,32 +470,105 @@ class TellClient: self.pshell.eval("smart_magnet.set_supress(True)&") logger.error(f"Tell smart magnet is in unknown state {state}") raise SmartMagnetFaultException - if sample_present: - print(self.get_mounted_sample()) - if self.get_mounted_sample() is None: - logger.warning("Check mount: A manually mounted sample is detected.") - logger.warning("Remove before mounting with the robot.") - raise ManualMountException - return True - elif self.get_mounted_sample(): - logger.error("Check mount: No sample detected, but robot thinks is mounted") - raise SmartMagnetFaultException - return False + except Exception as e: logger.error(f"check_smart_magnet_mounted failed: {e}") raise e - #sample_present = False +class SimTellClient: + """ + Simulation-only Tell client. -def is_true(value): - """check if argument is semantically true""" - value = str(value).lower() - return value != "0" or value in ("true", "yes", "on", "enabled") + Keeps behavior deterministic-ish and stateful without needing PShellClient. + Implement more methods as your callers need them. + """ + def __init__(self): + self._state = "Ready" + self._last_cmd_id = 1000 + self._mounted_sample: str = "" + self._simulated_samples_info = {} + self._simulated_detected_pucks = [] + self._simulated_current = 30.0 + self._simulated_suppress = True + self._simulated_offset = 0.0 + @property + def url(self): + return None -def is_false(value): - return not is_true(value) + def _next_cmd_id(self) -> int: + self._last_cmd_id += 1 + return self._last_cmd_id + def get_state(self) -> str: + return self._state -def is_valid_dewar_position(position): - return position in VALID_DEWAR_POSITIONS + def is_ready(self) -> bool: + return self._state.lower() == "ready" + + def is_busy(self) -> bool: + return self._state.lower() == "busy" + + def wait_ready(self, timeout: float = 360.0): + # Keep it simple: flip to Ready quickly. + time.sleep(0.05) + self._state = "Ready" + + def mount( + self, + address: SampleDewarAddress, + force: bool = False, + read_dm: bool = False, + auto_unmount: bool = False, + wait: bool = False, + timeout: float = 600.0, + ): + SampleDewarAddress.model_validate(address) + if self.is_busy(): + raise TellCommandWhileBusyException("mount received while robot is busy") + + cmd_id = self._next_cmd_id() + self._state = "Busy" + + segment = address.puck.segment + puck = address.puck.pos + sample = address.pin + self._mounted_sample = f"{segment}{puck}{sample}" + + if wait: + self.wait_ready(timeout=timeout) + else: + # quickly become ready anyway, but asynchronously-ish + time.sleep(0.01) + self._state = "Ready" + + return cmd_id + + def unmount(self, force: bool = False, wait: bool = False, timeout: float = 360.0): + if self.is_busy(): + raise TellCommandWhileBusyException("unmount received while robot is busy") + + cmd_id = self._next_cmd_id() + self._state = "Busy" + self._mounted_sample = "" + if wait: + self.wait_ready(timeout=timeout) + else: + time.sleep(0.01) + self._state = "Ready" + return cmd_id + + def get_mounted_sample(self) -> SampleDewarAddress | None: + ret = self._mounted_sample + if not ret: + return None + match = re.match(r"([A-Z])(\d)(\d{1,2})", ret) + if not match: + return None + segment, puck, sample = match.groups() + return SampleDewarAddress(puck=DewarAddress(segment=segment, pos=int(puck)), pin=int(sample)) + +def make_tell_client(bl: MXBeamline) -> TellClient | SimTellClient: + if bl == MXBeamline.SIMULATED: + return SimTellClient() + return TellClient(bl) \ No newline at end of file From ce7059ea63e837e66fc7b56a49a7aa4d44983063 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 19 Feb 2026 17:12:47 +0100 Subject: [PATCH 085/144] GUI: added default prediction ZMQ for X10SA --- src/aare/gui/gui.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aare/gui/gui.py b/src/aare/gui/gui.py index fb541348..ca8e438c 100644 --- a/src/aare/gui/gui.py +++ b/src/aare/gui/gui.py @@ -38,7 +38,7 @@ if __name__ == "__main__": case MXBeamline.X10SA: default_url = "http://127.0.0.1:5210" default_zmq_addr = "tcp://x10sa-pserv-01:9089" - default_pred_zmq_addr = "" + default_pred_zmq_addr = "tcp://x10sa-spark-01.psi.ch:8002" default_beamline_cam_addr = "axis-accc8eb02488.psi.ch" default_gonio_cam_addr = "axis-accc8ea5e463.psi.ch" default_gonio_camera_id = 1 From 5669536c5556d17500acd082974579632168c965 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 20 Feb 2026 13:30:34 +0100 Subject: [PATCH 086/144] GUI: updated prediction stream, added fps counter for the sample camera. --- src/aare/gui/gui.py | 2 +- src/aare/gui/main_window.py | 3 +- src/aare/gui/threads/camera_thread.py | 37 +++++++++++++++++-- src/aare/gui/threads/prediction_subscriber.py | 12 ++++-- src/aare/gui/widgets/status_bar.py | 14 +++++++ 5 files changed, 58 insertions(+), 10 deletions(-) diff --git a/src/aare/gui/gui.py b/src/aare/gui/gui.py index ca8e438c..1bbe1534 100644 --- a/src/aare/gui/gui.py +++ b/src/aare/gui/gui.py @@ -38,7 +38,7 @@ if __name__ == "__main__": case MXBeamline.X10SA: default_url = "http://127.0.0.1:5210" default_zmq_addr = "tcp://x10sa-pserv-01:9089" - default_pred_zmq_addr = "tcp://x10sa-spark-01.psi.ch:8002" + default_pred_zmq_addr = "tcp://x10sa-spark-01:9091" default_beamline_cam_addr = "axis-accc8eb02488.psi.ch" default_gonio_cam_addr = "axis-accc8ea5e463.psi.ch" default_gonio_camera_id = 1 diff --git a/src/aare/gui/main_window.py b/src/aare/gui/main_window.py index 7faf582e..348f68cf 100644 --- a/src/aare/gui/main_window.py +++ b/src/aare/gui/main_window.py @@ -260,13 +260,14 @@ class MainWindow(QMainWindow): self.camera_thread.camera_image.connect(self.sample_camera.update_pixmap) self.camera_thread.start() self.camera_thread.focus_measure.connect(self.status_bar.update_sharpness) + self.camera_thread.fps_measure.connect(self.status_bar.update_samcam_fps) else: self.camera_thread = None # Prediction subscriber thread if pred_zmq_addr is not None: logger.debug(f"Starting prediction subscriber thread {pred_zmq_addr}") - self.prediction_thread = PredictionSubscriber(pred_zmq_url=pred_zmq_addr) + self.prediction_thread = PredictionSubscriber(pred_zmq_url=pred_zmq_addr, topic='detections') self.prediction_thread.prediction.connect(self.sample_camera.update_detections) self.prediction_thread.start() else: diff --git a/src/aare/gui/threads/camera_thread.py b/src/aare/gui/threads/camera_thread.py index 15214f48..c47ad3e2 100644 --- a/src/aare/gui/threads/camera_thread.py +++ b/src/aare/gui/threads/camera_thread.py @@ -1,4 +1,5 @@ import json +import time import cv2 import numpy as np @@ -13,6 +14,7 @@ class SampleCameraThread(QThread): # Define a signal to communicate messages from the thread to the main GUI camera_image = Signal(QPixmap) focus_measure = Signal(float) # Emits Laplacian variance (higher = sharper) + fps_measure = Signal(float) def __init__(self, zmq_url: str, parent=None): super().__init__(parent) @@ -30,6 +32,12 @@ class SampleCameraThread(QThread): self.__last_beam_pos = None self.__radius = 40 + self.__fps_window_start = time.perf_counter() + self.__fps_frame_count = 0 + self.__fps_emit_period_s = 0.5 + self.__last_frame_time = None + self.__no_frame_timeout_s = 5.0 + @Slot(DAQStatusModel) def update_daq_status(self, s: DAQStatusModel): self.__beam_x = s.geom.beam_location_pxl.x @@ -47,8 +55,21 @@ class SampleCameraThread(QThread): while self.running: try: r = self.__socket.recv_multipart() + + now = time.perf_counter() + self.__last_frame_time = now + self.__fps_frame_count += 1 + + elapsed = now - self.__fps_window_start + if elapsed >= self.__fps_emit_period_s: + fps = self.__fps_frame_count / elapsed if elapsed > 0 else 0.0 + self.fps_measure.emit(float(fps)) + self.__fps_window_start = now + self.__fps_frame_count = 0 + if len(r) != 2: continue + meta, data = r header = json.loads(meta) header_shape = header["shape"] @@ -66,10 +87,10 @@ class SampleCameraThread(QThread): self.__focus_mask = (x - self.__beam_x) ** 2 + (y - self.__beam_y) ** 2 <= self.__radius ** 2 sharpness = focus_measure_edges(gray, self.__focus_mask) - print(f"GUI: mask pixels: {self.__focus_mask.sum()}, " - f"center=({self.__beam_x:.1f}, {self.__beam_y:.1f}), " - f"radius={self.__radius}, " - f"focus={sharpness:.2f}") + # print(f"GUI: mask pixels: {self.__focus_mask.sum()}, " + # f"center=({self.__beam_x:.1f}, {self.__beam_y:.1f}), " + # f"radius={self.__radius}, " + # f"focus={sharpness:.2f}") self.focus_measure.emit(sharpness) qimage = QImage(rgb_image.data, header_shape[1], header_shape[0], QImage.Format.Format_RGB888) @@ -77,6 +98,14 @@ class SampleCameraThread(QThread): else: print("Sample camera image has wrong dimensions") except zmq.Again: # Timeout occurred + now = time.perf_counter() + elapsed = now - self.__fps_window_start + if elapsed >= self.__fps_emit_period_s: + last = self.__fps_frame_count + no_frames_long = (last is None) or ((now - last) >= self.__no_frame_timeout_s) + self.fps_measure.emit(float("nan") if no_frames_long else 0.0) + self.__fps_window_start = now + self.__fps_frame_count = 0 continue # Check self.running again except Exception as e: print(f"Error in sample camera thread {e}") diff --git a/src/aare/gui/threads/prediction_subscriber.py b/src/aare/gui/threads/prediction_subscriber.py index 4e506465..6a09da19 100644 --- a/src/aare/gui/threads/prediction_subscriber.py +++ b/src/aare/gui/threads/prediction_subscriber.py @@ -1,17 +1,21 @@ import json - +from aare.common.logger_config import setup_logger import zmq from PySide6.QtCore import QThread, Signal +logger = setup_logger("aareGUI") + class PredictionSubscriber(QThread): # emits parsed JSON payload (dict with keys: time, frame_id, shape, boxes) prediction = Signal(dict) - def __init__(self, pred_zmq_url: str, topic: bytes = b"", parent=None): + def __init__(self, pred_zmq_url: str, topic: bytes | str = b"", parent=None): super().__init__(parent) self._ctx = zmq.Context() self._sock = self._ctx.socket(zmq.SUB) - if topic: + if isinstance(topic, str): + self._sock.setsockopt_string(zmq.SUBSCRIBE, topic) + elif isinstance(topic, bytes): self._sock.setsockopt(zmq.SUBSCRIBE, topic) else: self._sock.setsockopt(zmq.SUBSCRIBE, b"") @@ -32,7 +36,7 @@ class PredictionSubscriber(QThread): continue self.prediction.emit(payload) except Exception as e: - print("PredictionSubscriber error:", e) + logger.error("PredictionSubscriber error:", e) break def stop(self): diff --git a/src/aare/gui/widgets/status_bar.py b/src/aare/gui/widgets/status_bar.py index 0e0f037b..ea5e6cdf 100644 --- a/src/aare/gui/widgets/status_bar.py +++ b/src/aare/gui/widgets/status_bar.py @@ -1,3 +1,5 @@ +import math + from PySide6.QtCore import Signal, Slot, QPoint, QTimer from PySide6.QtGui import QFont from PySide6.QtWidgets import QStatusBar, QDialog, QMenu, QMessageBox @@ -33,6 +35,7 @@ class StatusBar(QStatusBar): self.__allowed_pgroups = self.__decoded_token.pgroups self.sharpness = ValueLabel("Samcam image sharpness", "", self) + self.samcam_fps = ValueLabel("Samcam FPS", "fps", self) self.flux = ValueLabel("Flux", "x 109 ph/s", self) self.transmission = ValueLabel("Transmission", "", self) self.ring_current = ValueLabel("Ring current", "mA", self) @@ -55,6 +58,7 @@ class StatusBar(QStatusBar): self.exp_shutter_label = ValueLabel("ExpHutch Shutter", "", self) self.addPermanentWidget(self.sharpness) + self.addPermanentWidget(self.samcam_fps) self.addPermanentWidget(self.flux) self.addPermanentWidget(self.transmission) self.addPermanentWidget(self.ring_current) @@ -72,6 +76,16 @@ class StatusBar(QStatusBar): def update_sharpness(self, val: float): self.sharpness.set_value(f"{val:.3f}") + @Slot(float) + def update_samcam_fps(self, fps: float): + if fps is None or (isinstance(fps, float) and math.isnan(fps)): + self.samcam_fps.set_value("off") + return + if not math.isfinite(fps) or fps < 0: + self.samcam_fps.set_value("error") + return + self.samcam_fps.set_value(f"{fps:.1f}") + @Slot(DAQStatusModel) def update_daq_status(self, status: DAQStatusModel): self.__status = status From 5444ee97e3e96733d3debbb62fd46002a5aa9905 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 24 Feb 2026 11:28:25 +0100 Subject: [PATCH 087/144] Updated exception hadnling in server to use fastAPI exception handlers, and moved custom exception classes to exception_handler.py in Common --- src/aare/common/exception_handler.py | 91 +++++++++++++++ src/aare/daq/config.py | 6 +- src/aare/daq/daq.py | 9 ++ src/aare/daq/server.py | 135 +++++++---------------- src/aare/daq/server_exception_handler.py | 107 ++++++++++++++++++ 5 files changed, 247 insertions(+), 101 deletions(-) create mode 100644 src/aare/common/exception_handler.py create mode 100644 src/aare/daq/server_exception_handler.py diff --git a/src/aare/common/exception_handler.py b/src/aare/common/exception_handler.py new file mode 100644 index 00000000..35b6ef65 --- /dev/null +++ b/src/aare/common/exception_handler.py @@ -0,0 +1,91 @@ +from __future__ import annotations + +from aare.common.logger_config import setup_logger + +logger = setup_logger("aareDAQ") + +class TransformationInvalidException(Exception): + def __init__(self, message: str = "Transformation is not implemented"): + super().__init__(message) + self.message = message + logger.error(message, extra={"exception:": Exception}) + + def __str__(self) -> str: + return self.message + + +class LoopCenteringFailed(Exception): + def __init__(self, message: str = "Loop Centering did not detect a sample"): + super().__init__(message) + self.message = message + logger.error(message, extra={"exception:": Exception}) + + def __str__(self) -> str: + return self.message + + +class MountingFailed(Exception): + def __init__(self, message: str = "A sample was not mounted"): + super().__init__(message) + self.message = message + logger.error(message, extra={"exception:": Exception}) + + def __str__(self) -> str: + return self.message + + +class WarningTellException(Exception): + def __init__(self, message: str = "Warning error in TELL"): + super().__init__(message) + self.message = message + logger.error(message, extra={"exception:": Exception}) + + def __str__(self) -> str: + return self.message + + +class CriticalTellException(Exception): + def __init__(self, message: str = "Critical error in TELL"): + super().__init__(message) + self.message = message + logger.error(message, extra={"exception:": Exception}) + + def __str__(self) -> str: + return self.message + + +class AXCFailed(Exception): + def __init__(self, message: str = "Auto X-ray centering failed"): + super().__init__(message) + self.message = message + logger.error(message, extra={"exception:": Exception}) + + def __str__(self) -> str: + return self.message + +class BeamlineBusyException(Exception): + def __init__(self, message: str = "Beamline is in busy state"): + super().__init__(message) + self.message = message + logger.error(message, extra={"exception:": Exception}) + + def __str__(self) -> str: + return self.message + +class SampleException(Exception): + def __init__(self, message: str = "Sample not found"): + super().__init__(message) + self.message = message + logger.error(message, extra={"exception:": Exception}) + + def __str__(self) -> str: + return self.message + +class AuthenticationException(Exception): + def __init__(self, message: str = "Sample belongs to a different user."): + super().__init__(message) + self.message = message + logger.error(message, extra={"exception:": Exception}) + + def __str__(self) -> str: + return self.message diff --git a/src/aare/daq/config.py b/src/aare/daq/config.py index 2873747b..c8b5abad 100644 --- a/src/aare/daq/config.py +++ b/src/aare/daq/config.py @@ -21,6 +21,8 @@ from aare.common.models import ( from aare.common.beamline import MXBeamline from aare.common.logger_config import setup_logger +from aare.common.exception_handler import BeamlineBusyException + ABR_POS_ALIGN_DEF = Coordinate(x=-18, y=-0.266, z=0) ABR_POS_MOUNT = Coordinate(x=18, y=0, z=0)#Coordinate(x=-18, y=0, z=0) ABR_OMEGA_MOUNT = 0.0 @@ -47,10 +49,6 @@ def base64_to_numpy(encoded_str: str | None) -> np.ndarray | None: return np.load(buffer) # Load buffer as a NumPy array -class BeamlineBusyException(Exception): - pass - - class BeamlineConfig: """ Manages the configuration and state of a beamline system by interacting with a Redis diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index b3feea28..8a806337 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -35,6 +35,15 @@ from aare.common.sample_geometry import SampleGeometryModel from aare.devices.area_detector import AutoEnum from aare.devices.jfjoch import JFJochWrapper +from aare.common.exception_handler import ( + TransformationInvalidException, + LoopCenteringFailed, + MountingFailed, + WarningTellException, + CriticalTellException, + AXCFailed, +) + logger = setup_logger("aareDAQ") class TransformationInvalidException(Exception): diff --git a/src/aare/daq/server.py b/src/aare/daq/server.py index f482271b..0ee2cffb 100644 --- a/src/aare/daq/server.py +++ b/src/aare/daq/server.py @@ -24,10 +24,20 @@ from starlette.responses import StreamingResponse from aare.daq import auth from aare.common.beamline import mx_beamline from aare.daq.config import BeamlineConfig -from aare.daq.daq import (AareDAQ, LoopCenteringFailed, TransformationInvalidException, - MountingFailed, WarningTellException, CriticalTellException) +from aare.daq.daq import AareDAQ + +from aare.daq.server_exception_handler import register_exception_handlers + +from aare.common.exception_handler import ( + LoopCenteringFailed, + TransformationInvalidException, + MountingFailed, + WarningTellException, + CriticalTellException, SampleException, AuthenticationException, +) app = FastAPI() +register_exception_handlers(app) # OAuth2 setup oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token") @@ -51,34 +61,25 @@ async def login(form_data: OAuth2PasswordRequestForm = Depends()): async def status(token: str = Depends(oauth2_scheme)) -> DAQStatusModel: data = auth.parse_token(token) - try: - full = daq.status - active_pgroup = cfg.pgroup - is_staff = data.staff - in_allowed_groups = (active_pgroup is not None and active_pgroup in data.pgroups) - in_ro = is_staff or in_allowed_groups - sample_pgroup = full.sample.user if full.sample is not None else None - sample_view_allowed = sample_pgroup in data.pgroups or is_staff - - full.sample = full.sample if in_ro and sample_view_allowed else None - full.box = full.box if in_ro else None - full.last_best_res = full.last_best_res if in_ro else None - full.last_best_b_factor = full.last_best_b_factor if in_ro else None - full.crystal_size = full.crystal_size if in_ro else CrystalSize(x=0,y=0,z=0) - full.session = SessionStatus( - current_pgroup=cfg.pgroup, - session=cfg.session_state(data.session), - staff=data.staff - ) - return full - - except Exception as e: - logger.error(f"Error getting status: {e}") - raise HTTPException( - status_code=api_status.HTTP_500_INTERNAL_SERVER_ERROR, - detail=f"Error getting status: {e}" - ) + full = daq.status + active_pgroup = cfg.pgroup + is_staff = data.staff + in_allowed_groups = (active_pgroup is not None and active_pgroup in data.pgroups) + in_ro = is_staff or in_allowed_groups + sample_pgroup = full.sample.user if full.sample is not None else None + sample_view_allowed = sample_pgroup in data.pgroups or is_staff + full.sample = full.sample if in_ro and sample_view_allowed else None + full.box = full.box if in_ro else None + full.last_best_res = full.last_best_res if in_ro else None + full.last_best_b_factor = full.last_best_b_factor if in_ro else None + full.crystal_size = full.crystal_size if in_ro else CrystalSize(x=0,y=0,z=0) + full.session = SessionStatus( + current_pgroup=cfg.pgroup, + session=cfg.session_state(data.session), + staff=data.staff + ) + return full @app.get("/beamline/geometry") async def sample_geometry( @@ -262,41 +263,14 @@ async def mount(dbid: int, token: str = Depends(oauth2_scheme), reference: bool index = i if index == -1: - raise HTTPException( - status_code=api_status.HTTP_404_NOT_FOUND, - detail="Sample not found", - ) - if token_data.staff or st.s[index].user in token_data.pgroups: - try: - daq.sample = st.s[index] - except MountingFailed as e: - raise HTTPException( - status_code=api_status.HTTP_404_NOT_FOUND, - detail=f"{e}", - ) - except WarningTellException as e: - raise HTTPException( - status_code=api_status.HTTP_410_GONE, - detail=f"{e}", - ) - except CriticalTellException as e: - raise HTTPException( - status_code=api_status.HTTP_417_EXPECTATION_FAILED, - detail=f"{e}" - ) - except Exception as e: - raise HTTPException( - status_code=api_status.HTTP_500_INTERNAL_SERVER_ERROR, - detail=f"{e}" - ) - return "OK" - else: - raise HTTPException( - status_code=api_status.HTTP_401_UNAUTHORIZED, - detail="Sample belongs to a different user.", - headers={"WWW-Authenticate": "Bearer"}, - ) + raise SampleException(message="Sample not found") + if not (token_data.staff or st.s[index].user in token_data.pgroups): + raise AuthenticationException(message="Sample belongs to a different user.") + + daq.sample = st.s[index] + + return "OK" @app.post("/sample/unmount") async def unmount(token: str = Depends(oauth2_scheme)): @@ -418,40 +392,7 @@ async def rotation(val: RotationScanRequest, token: str = Depends(oauth2_scheme) @app.post("/scan/auto") async def auto(s: SampleShortInfo, token: str = Depends(oauth2_scheme)): auth.check_jwt_rw(cfg, auth.parse_token(token)) - try: - runtime = daq.measure(s) - return f"{runtime:0.3f}" - except LoopCenteringFailed as e: - raise HTTPException( - status_code=api_status.HTTP_404_NOT_FOUND, - detail=f"Loop centering failed: {e}", - ) - except TransformationInvalidException as e: - raise HTTPException( - status_code=api_status.HTTP_400_BAD_REQUEST, - detail=f"Transformation invalid: {e}", - ) - except MountingFailed as e: - raise HTTPException( - status_code=api_status.HTTP_404_NOT_FOUND, - detail=f"{e}", - ) - except WarningTellException as e: - raise HTTPException( - status_code=api_status.HTTP_410_GONE, - detail=f"{e}", - ) - except CriticalTellException as e: - raise HTTPException( - status_code=api_status.HTTP_417_EXPECTATION_FAILED, - detail=f"{e}" - ) - except Exception as e: - logger.error(f"Exception in auto: {e}") - raise HTTPException( - status_code=api_status.HTTP_500_INTERNAL_SERVER_ERROR, - detail=f"error {e}" - ) + runtime = daq.measure(s) return f"{runtime:0.3f}" diff --git a/src/aare/daq/server_exception_handler.py b/src/aare/daq/server_exception_handler.py new file mode 100644 index 00000000..da273fd6 --- /dev/null +++ b/src/aare/daq/server_exception_handler.py @@ -0,0 +1,107 @@ +# aare/common/server_error_handler.py +from __future__ import annotations + +from fastapi import HTTPException +from fastapi import status as api_status +from starlette.requests import Request +from starlette.responses import JSONResponse + +from aare.common.logger_config import setup_logger +from aare.common.exception_handler import ( + MountingFailed, + WarningTellException, + CriticalTellException, + LoopCenteringFailed, + TransformationInvalidException, + BeamlineBusyException, AuthenticationException, SampleException +) + +logger = setup_logger("aareDAQ") + + +def _error_payload(*, code: str, message: str, extra: dict | None = None) -> dict: + payload = {"code": code, "message": message} + if extra: + payload["extra"] = extra + return payload + + +def register_exception_handlers(app) -> None: + """ + Register server-wide exception handlers on the given FastAPI app. + Call once right after `app = FastAPI()`. + """ + + @app.exception_handler(HTTPException) + async def http_exception_handler(request: Request, exc: HTTPException) -> JSONResponse: + # Keep explicit HTTP errors, but normalize response shape + detail = exc.detail + if isinstance(detail, dict) and "code" in detail and "message" in detail: + body = detail + else: + body = _error_payload(code="HTTP_ERROR", message=str(detail)) + return JSONResponse(status_code=exc.status_code, content=body, headers=exc.headers) + + @app.exception_handler(MountingFailed) + async def mounting_failed_handler(request: Request, exc: MountingFailed) -> JSONResponse: + return JSONResponse( + status_code=api_status.HTTP_404_NOT_FOUND, + content=_error_payload(code="MOUNTING_FAILED", message=str(exc)), + ) + + @app.exception_handler(WarningTellException) + async def warning_tell_handler(request: Request, exc: WarningTellException) -> JSONResponse: + return JSONResponse( + status_code=api_status.HTTP_410_GONE, + content=_error_payload(code="TELL_WARNING", message=str(exc)), + ) + + @app.exception_handler(CriticalTellException) + async def critical_tell_handler(request: Request, exc: CriticalTellException) -> JSONResponse: + return JSONResponse( + status_code=api_status.HTTP_417_EXPECTATION_FAILED, + content=_error_payload(code="TELL_CRITICAL", message=str(exc)), + ) + + @app.exception_handler(LoopCenteringFailed) + async def loop_centering_failed_handler(request: Request, exc: LoopCenteringFailed) -> JSONResponse: + return JSONResponse( + status_code=api_status.HTTP_404_NOT_FOUND, + content=_error_payload(code="LOOP_CENTERING_FAILED", message=str(exc)), + ) + + @app.exception_handler(TransformationInvalidException) + async def transformation_invalid_handler(request: Request, exc: TransformationInvalidException) -> JSONResponse: + return JSONResponse( + status_code=api_status.HTTP_400_BAD_REQUEST, + content=_error_payload(code="TRANSFORMATION_INVALID", message=str(exc)), + ) + + @app.exception_handler(BeamlineBusyException) + async def beamline_busy_handler(request: Request, exc: BeamlineBusyException) -> JSONResponse: + return JSONResponse( + status_code=api_status.HTTP_423_LOCKED, + content=_error_payload(code="BEAMLINE_BUSY", message=str(exc) or "Beamline is busy"), + ) + + @app.exception_handler(AuthenticationException) + async def authentication_exception_handler(request: Request, exc: AuthenticationException) -> JSONResponse: + return JSONResponse( + status_code=api_status.HTTP_401_UNAUTHORIZED, + content=_error_payload(code="AUTHENTICATION_ERROR", message=str(exc) or "Invalid authentication"), + ) + + @app.exception_handler(SampleException) + async def sample_exception_handler(request: Request, exc: SampleException) -> JSONResponse: + return JSONResponse( + status_code=api_status.HTTP_404_NOT_FOUND, + content=_error_payload(code="SAMPLE_NOT_FOUND", message=str(exc) or "Sample not found"), + ) + + @app.exception_handler(Exception) + async def unhandled_exception_handler(request: Request, exc: Exception) -> JSONResponse: + logger.exception("Unhandled server exception") + return JSONResponse( + status_code=api_status.HTTP_500_INTERNAL_SERVER_ERROR, + content=_error_payload(code="INTERNAL_SERVER_ERROR", message="Internal server error"), + ) From 47d3b7934e4432fdec9fc2519966b4caeb704359 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 24 Feb 2026 11:29:57 +0100 Subject: [PATCH 088/144] Common: added verbose parameter to focus_measure_edges function so print statement doesnt pollute the GUI Log by default. --- src/aare/common/autofocus_tools.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/src/aare/common/autofocus_tools.py b/src/aare/common/autofocus_tools.py index 66747022..6b60795a 100644 --- a/src/aare/common/autofocus_tools.py +++ b/src/aare/common/autofocus_tools.py @@ -1,7 +1,7 @@ import cv2 import numpy as np -def focus_measure_edges(gray: np.ndarray, mask: np.ndarray | None = None) -> float: +def focus_measure_edges(gray: np.ndarray, mask: np.ndarray | None = None, verbose: bool = False) -> float: # mild denoise (optional but usually stabilizes the curve) gray = cv2.GaussianBlur(gray, (3, 3), 0) @@ -19,10 +19,10 @@ def focus_measure_edges(gray: np.ndarray, mask: np.ndarray | None = None) -> flo if strong.size == 0: return 0.0 - - print(f"mask pixels: {mask.sum()}, " - f"focus={strong.mean():.2f}" - f"strong_size={strong.size}") + if verbose: + print(f"mask pixels: {mask.sum()}, " + f"focus={strong.mean():.2f}" + f"strong_size={strong.size}") return float(strong.mean()) # higher = sharper From 7b6c417597d26fe51ec42f6ccad470dc22873735 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 24 Feb 2026 14:42:58 +0100 Subject: [PATCH 089/144] Common: added error_codes script and refactored auth, excception handler and service_exception handler to utilise them --- src/aare/common/error_codes.py | 34 +++++++++++++++++ src/aare/common/exception_handler.py | 28 +++++++++++++- src/aare/daq/auth.py | 48 +++++++++++++----------- src/aare/daq/server_exception_handler.py | 24 ++++++++++-- 4 files changed, 108 insertions(+), 26 deletions(-) create mode 100644 src/aare/common/error_codes.py diff --git a/src/aare/common/error_codes.py b/src/aare/common/error_codes.py new file mode 100644 index 00000000..42bc39ee --- /dev/null +++ b/src/aare/common/error_codes.py @@ -0,0 +1,34 @@ +from __future__ import annotations + +from enum import StrEnum + +class AuthErrorCode(StrEnum): + """ + Stable, machine-readable error codes used across the API. + + Rules: + - never rename an existing value (treat as public API) + - only add new values + """ + + # Generic / defaults + AUTHENTICATION_ERROR = "AUTHENTICATION_ERROR" + AUTHENTICATION_FAILED = "AUTHENTICATION_FAILED" + FORBIDDEN = "FORBIDDEN" + HTTP_ERROR = "HTTP_ERROR" + INTERNAL_SERVER_ERROR = "INTERNAL_SERVER_ERROR" + + # Auth/JWT + INVALID_TOKEN = "INVALID_TOKEN" + SESSION_ALREADY_ACTIVE = "SESSION_ALREADY_ACTIVE" + + # Authorization + NOT_STAFF = "NOT_STAFF" + NOT_IN_ACTIVE_PGROUP = "NOT_IN_ACTIVE_PGROUP" + + +def export_error_codes() -> dict[str, str]: + """ + Convenience for clients/tests/docs: {"INVALID_TOKEN": "INVALID_TOKEN", ...} + """ + return {c.name: str(c.value) for c in AuthErrorCode} \ No newline at end of file diff --git a/src/aare/common/exception_handler.py b/src/aare/common/exception_handler.py index 35b6ef65..340b14eb 100644 --- a/src/aare/common/exception_handler.py +++ b/src/aare/common/exception_handler.py @@ -1,6 +1,7 @@ from __future__ import annotations from aare.common.logger_config import setup_logger +from aare.common.error_codes import AuthErrorCode logger = setup_logger("aareDAQ") @@ -82,10 +83,35 @@ class SampleException(Exception): return self.message class AuthenticationException(Exception): - def __init__(self, message: str = "Sample belongs to a different user."): + def __init__(self, + message: str = "Authentication failed.", + *, + status_code: int = 401, + headers: dict[str, str] | None = None, + code: AuthErrorCode = AuthErrorCode.AUTHENTICATION_FAILED): super().__init__(message) self.message = message + self.status_code = status_code + self.headers = headers + self.code = code logger.error(message, extra={"exception:": Exception}) def __str__(self) -> str: return self.message + +class UserRightsException(Exception): + def __init__(self, + message: str = "User does not have rights to perform this action.", + *, + status_code: int = 403, + headers: dict[str, str] | None = None, + code: AuthErrorCode = AuthErrorCode.FORBIDDEN): + super().__init__(message) + self.message = message + self.status_code = status_code + self.headers = headers + self.code = code + logger.error(message, extra={"exception:": Exception}) + + def __str__(self) -> str: + return self.message \ No newline at end of file diff --git a/src/aare/daq/auth.py b/src/aare/daq/auth.py index a72dd5e5..e480964a 100644 --- a/src/aare/daq/auth.py +++ b/src/aare/daq/auth.py @@ -11,6 +11,8 @@ from pydantic import BaseModel from aare.daq.config import BeamlineConfig +from aare.common.exception_handler import AuthenticationException, UserRightsException, AuthErrorCode + if os.environ.get("JWT_AAREDAQ_KEY") is None: raise Exception("JWT_AAREDAQ_KEY environment variable not set, cannot guarantee safe authentication.") @@ -58,20 +60,21 @@ def parse_token(token: str) -> TokenData: token = TokenData(**payload) return token except jwt.PyJWTError as e: - print(f"JWT error {e}") - raise HTTPException( - status_code=status.HTTP_401_UNAUTHORIZED, - detail="Invalid token", - ) + raise AuthenticationException( + message="Invalid token", + status_code=401, + headers={"WWW-Authenticate": "Bearer"}, + code=AuthErrorCode.INVALID_TOKEN, + ) from e def check_jwt_ro(cfg: BeamlineConfig, data: TokenData) -> None: active_pgroup = cfg.pgroup if not data.staff and (active_pgroup is None or active_pgroup not in data.pgroups): - print("Not member of a currently active p-group.") - raise HTTPException( - status_code=status.HTTP_401_UNAUTHORIZED, - detail="Not member of a currently active p-group.", + raise UserRightsException( + message="Not member of a currently active p-group.", + status_code=403, + code=AuthErrorCode.NOT_IN_ACTIVE_PGROUP, ) @@ -81,30 +84,31 @@ def check_jwt_rw(cfg: BeamlineConfig, data: TokenData) -> None: try: cfg.try_set_active_session(data.session, SESSION_EXPIRE_SECONDS) except Exception as e: - raise HTTPException( - status_code=status.HTTP_401_UNAUTHORIZED, - detail="Another session is active.", + raise AuthenticationException( + message="Another session is active.", + status_code=401, headers={"WWW-Authenticate": "Bearer"}, - ) + code=AuthErrorCode.SESSION_ALREADY_ACTIVE, + ) from e def check_jwt_staff(cfg: BeamlineConfig, data: TokenData) -> None: if not data.staff: - raise HTTPException( - status_code=status.HTTP_401_UNAUTHORIZED, - detail="Not member of the MX staff.", - headers={"WWW-Authenticate": "Bearer"}, + raise UserRightsException( + message="Not member of the MX staff.", + status_code=403, + code=AuthErrorCode.NOT_STAFF, ) try: cfg.try_set_active_session(data.session, SESSION_EXPIRE_SECONDS) except Exception as e: - raise HTTPException( - status_code=status.HTTP_401_UNAUTHORIZED, - detail="Another session is active.", + raise AuthenticationException( + message="Another session is active.", + status_code=401, headers={"WWW-Authenticate": "Bearer"}, - ) - + code=AuthErrorCode.SESSION_ALREADY_ACTIVE, + ) from e def force_current_sesion(cfg: BeamlineConfig, data: TokenData) -> None: cfg.force_set_active_session(data.session, SESSION_EXPIRE_SECONDS) diff --git a/src/aare/daq/server_exception_handler.py b/src/aare/daq/server_exception_handler.py index da273fd6..edff28cd 100644 --- a/src/aare/daq/server_exception_handler.py +++ b/src/aare/daq/server_exception_handler.py @@ -13,7 +13,10 @@ from aare.common.exception_handler import ( CriticalTellException, LoopCenteringFailed, TransformationInvalidException, - BeamlineBusyException, AuthenticationException, SampleException + BeamlineBusyException, + AuthenticationException, + SampleException, + UserRightsException ) logger = setup_logger("aareDAQ") @@ -87,8 +90,23 @@ def register_exception_handlers(app) -> None: @app.exception_handler(AuthenticationException) async def authentication_exception_handler(request: Request, exc: AuthenticationException) -> JSONResponse: return JSONResponse( - status_code=api_status.HTTP_401_UNAUTHORIZED, - content=_error_payload(code="AUTHENTICATION_ERROR", message=str(exc) or "Invalid authentication"), + status_code=getattr(exc, "status_code", api_status.HTTP_401_UNAUTHORIZED), + content=_error_payload( + code=str(getattr(exc, "code", "AUTHENTICATION_ERROR")), + message=str(exc) or "Invalid authentication", + ), + headers=getattr(exc, "headers", None), + ) + + @app.exception_handler(UserRightsException) + async def user_rights_exception_handler(request: Request, exc: UserRightsException) -> JSONResponse: + return JSONResponse( + status_code=getattr(exc, "status_code", api_status.HTTP_403_FORBIDDEN), + content=_error_payload( + code=str(getattr(exc, "code", "FORBIDDEN")), + message=str(exc) or "Forbidden", + ), + headers=getattr(exc, "headers", None), ) @app.exception_handler(SampleException) From 1ed8554e5cb5a9ea2a2062f110497c2207190bae Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 24 Feb 2026 14:43:35 +0100 Subject: [PATCH 090/144] GUI: message box, typo in debug message fixed --- src/aare/gui/widgets/message_box.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aare/gui/widgets/message_box.py b/src/aare/gui/widgets/message_box.py index 02d8ae01..34ef3db6 100644 --- a/src/aare/gui/widgets/message_box.py +++ b/src/aare/gui/widgets/message_box.py @@ -58,7 +58,7 @@ def ring_current_low_check(parent, ring_current) -> bool: too_low = ring_current < LOW_CURRENT_THRESHOLD if too_low: rc = round(ring_current, 2) - logger.debug(f"Ring current low {rc}") + logger.debug(f"Ring current low {rc} mA") msg = f"Ring current is low: {rc} mA." else: logger.debug(f"Ring current: {round(ring_current, 2)} mA") From 0b0b673fe8231e04ba85a5cf091a9b55a6373818 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 24 Feb 2026 14:44:20 +0100 Subject: [PATCH 091/144] DAQ: workflows - assert that scintillator is down where possivle, move aerotech to measure position after moving to sample alignment --- src/aare/daq/workflows.py | 21 +++++++++++++++------ 1 file changed, 15 insertions(+), 6 deletions(-) diff --git a/src/aare/daq/workflows.py b/src/aare/daq/workflows.py index dcd75416..1d7ae517 100644 --- a/src/aare/daq/workflows.py +++ b/src/aare/daq/workflows.py @@ -70,6 +70,7 @@ def dc2rse(devs: BeamlineDevices, cfg: BeamlineConfig): def se2sa(devs: BeamlineDevices, cfg: BeamlineConfig): devs.reflector_up = StagePositionEnum.MEASURE + devs.aerotech_pos = cfg.abr_meas_pos def rse2sa(devs: BeamlineDevices, cfg: BeamlineConfig): se2sa(devs, cfg) @@ -106,23 +107,31 @@ def ba2sa(devs: BeamlineDevices, cfg: BeamlineConfig): pass def sa2bl(devs: BeamlineDevices, cfg: BeamlineConfig): - pass + devs.scintillator = 20.0 def bl2sa(devs: BeamlineDevices, cfg: BeamlineConfig): - pass + devs.scintillator = 20.0 def bl2ba(devs: BeamlineDevices, cfg: BeamlineConfig): - pass + devs.scintillator = 20.0 def ba2bl(devs: BeamlineDevices, cfg: BeamlineConfig): - pass + devs.scintillator = 20.0 def sa2dh(devs: BeamlineDevices, cfg: BeamlineConfig): - pass + devs.scintillator = 20.0 + if devs.tell.get_mounted_sample() is not None: + try: + # Best effort try to unmount + devs.tell.unmount(wait=True) + except Exception as e: + print(f"Error for unmounting: {e}") + devs.tell.dry(wait_cold=-1, wait=False) def dh2sa(devs: BeamlineDevices, cfg: BeamlineConfig): - pass + devs.scintillator = 20.0 + devs.reflector_up = StagePositionEnum.MEASURE if __name__ == "__main__": from aare.common.beamline import mx_beamline From 87cf325de1a4a020838633e3bdefb2915a715248 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 24 Feb 2026 14:44:35 +0100 Subject: [PATCH 092/144] TellUpdater: fixes to tell_updater --- src/aare/daq/tellupdater.py | 18 ++++++++++++------ 1 file changed, 12 insertions(+), 6 deletions(-) diff --git a/src/aare/daq/tellupdater.py b/src/aare/daq/tellupdater.py index 6e6b7baa..24cee01d 100644 --- a/src/aare/daq/tellupdater.py +++ b/src/aare/daq/tellupdater.py @@ -1,16 +1,21 @@ import os import json +import threading + import websocket import sseclient import requests import time -from aareDBclient.models import PuckWithTellPosition +from aareDB.models import PuckWithTellPosition -#from aare.daq.spreadsheetupdater import SLOT_IDENTIFIER from aare.devices.tell_client import TellClient + +from aare.common.logger_config import setup_logger from aaredb import AareWrapper # Make sure the import path fits your project from aare.common.beamline import MXBeamline, mx_beamline +logger = setup_logger("aareDAQ") + # Configuration beamline = mx_beamline() SLOT_IDENTIFIER = beamline.value.upper() @@ -47,6 +52,7 @@ def listen_to_sse(): print(f"[SSE][listen_to_sse][WARN] Initial fetch failed: {exc}") for event in client.events(): + print(f"event = {event.event} with data: {event.data}") if event.event == "DewarContentUpdate": print(f"[SSE][listen_to_sse] event: {event.event}, data: {event.data}") on_sse_event(event) @@ -72,8 +78,8 @@ def compare_and_report_change(old, new, key_func): def ws_update_samples_info(pucks): """Send sample info to TELL robot.""" - #tell_client.set_samples_info(pucks) - print(pucks) + tell_client.set_samples_info(pucks) + logger.info(f"Payload sent to TELL: {pucks}") def handle_tell_change_event(): """Fetch the latest detected pucks from TELL and update the database.""" @@ -142,8 +148,8 @@ def on_open(ws): def main(): # Start SSE listener in a separate background thread - #sse_thread = threading.Thread(target=listen_to_sse, daemon=True) - #sse_thread.start() + sse_thread = threading.Thread(target=listen_to_sse, daemon=True) + sse_thread.start() # Main thread runs websocket client loop while True: From d0a321b08c6b347bed6ed71c6decc88ea9f74a4f Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 24 Feb 2026 14:44:54 +0100 Subject: [PATCH 093/144] SpreadsheetUpdater - change aaredbclient import to aaredb --- src/aare/daq/spreadsheetupdater.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aare/daq/spreadsheetupdater.py b/src/aare/daq/spreadsheetupdater.py index 08842294..4f7c65f8 100644 --- a/src/aare/daq/spreadsheetupdater.py +++ b/src/aare/daq/spreadsheetupdater.py @@ -2,7 +2,7 @@ import os import json import websocket import time -from aareDBclient.models import PuckWithTellPosition +from aareDB.models import PuckWithTellPosition from aare.common.models import SampleShortInfoList, SampleShortInfo, DewarAddress from config import BeamlineConfig from aare.common.beamline import MXBeamline, mx_beamline From 6769c02736471d31efc03b24ffc8453aaeed8021 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 24 Feb 2026 14:45:42 +0100 Subject: [PATCH 094/144] Server: update error handling --- src/aare/daq/server.py | 19 ++++++++++++------- 1 file changed, 12 insertions(+), 7 deletions(-) diff --git a/src/aare/daq/server.py b/src/aare/daq/server.py index 0ee2cffb..d01baedf 100644 --- a/src/aare/daq/server.py +++ b/src/aare/daq/server.py @@ -7,6 +7,7 @@ import cv2 import urllib3 import uvicorn from aare.common.coordinate import SmargonCoordinate, Coordinate +from aare.common.error_codes import export_error_codes from aare.common.logger_config import setup_logger from aare.common.models import SampleShortInfo, DAQStatusModel, BeamlineStateEnum, BeamlineSettingsModel, \ SampleShortInfoList, SessionStatus, SampleCameraSettings, AutofocusSettings, TokenData, \ @@ -29,12 +30,9 @@ from aare.daq.daq import AareDAQ from aare.daq.server_exception_handler import register_exception_handlers from aare.common.exception_handler import ( - LoopCenteringFailed, - TransformationInvalidException, - MountingFailed, - WarningTellException, - CriticalTellException, SampleException, AuthenticationException, -) + SampleException, + UserRightsException, + ) app = FastAPI() register_exception_handlers(app) @@ -56,6 +54,13 @@ async def login(form_data: OAuth2PasswordRequestForm = Depends()): data = auth.authenticate_user(cfg, form_data) return {"access_token": data, "token_type": "bearer"} +@app.get("/meta/error-codes") +async def meta_error_codes() -> dict[str, str]: + """ + Public, stable registry of machine-readable error codes. + Useful for GUIs, tests, and diagnostics. + """ + return export_error_codes() @app.get("/status") async def status(token: str = Depends(oauth2_scheme)) -> DAQStatusModel: @@ -266,7 +271,7 @@ async def mount(dbid: int, token: str = Depends(oauth2_scheme), reference: bool raise SampleException(message="Sample not found") if not (token_data.staff or st.s[index].user in token_data.pgroups): - raise AuthenticationException(message="Sample belongs to a different user.") + raise UserRightsException(message="Sample belongs to a different user.") daq.sample = st.s[index] From 7e2577e0257d1ecbe6a001e1c1d3c0b7f62675ef Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 24 Feb 2026 14:45:59 +0100 Subject: [PATCH 095/144] TELL: typo in unmount message: check_command_ok --- src/aare/devices/tell_client.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aare/devices/tell_client.py b/src/aare/devices/tell_client.py index 2883c4f2..a71148a7 100755 --- a/src/aare/devices/tell_client.py +++ b/src/aare/devices/tell_client.py @@ -286,7 +286,7 @@ class TellClient: self._last_cmd_id = self.start_cmd("unmount", None, None, None, force) if wait: - self.check_command_ok(timeout=timeout, msg="Unmount failed: ") + self.check_command_ok(timeout=timeout, msg="Unmount message: ") return self._last_cmd_id From 0b18942d21e8375c8733fc703f92737aee1a1ffb Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 24 Feb 2026 14:48:52 +0100 Subject: [PATCH 096/144] gui: ADDED check_enabled for developing --- src/aare/gui/panels/sample_queue_panel.py | 39 ++++++++++++----------- 1 file changed, 21 insertions(+), 18 deletions(-) diff --git a/src/aare/gui/panels/sample_queue_panel.py b/src/aare/gui/panels/sample_queue_panel.py index 6ced0a7f..09ac5f5c 100644 --- a/src/aare/gui/panels/sample_queue_panel.py +++ b/src/aare/gui/panels/sample_queue_panel.py @@ -14,6 +14,8 @@ from aare.common.logger_config import setup_logger logger = setup_logger("aareGUI") +CHECK_ENABLED = False + class SampleQueuePanel(QFrame): auto_scan = Signal(SampleShortInfo) unmount = Signal() @@ -152,25 +154,26 @@ class SampleQueuePanel(QFrame): def run(self): self.__recovery_timer.stop() - if hasattr(self, '__warning_msg_box') and self.__warning_msg_box: - self.__warning_msg_box.done(0) - self.__warning_msg_box = None + if CHECK_ENABLED: + if hasattr(self, '__warning_msg_box') and self.__warning_msg_box: + self.__warning_msg_box.done(0) + self.__warning_msg_box = None - if self.__beamline_state != BeamlineStateEnum.SampleAlignment: - self.show_error_dialog(title="wrong beamline state", - msg="Cannot run automation while beamline is not in sample alignment state", - info="Please change the state at the bottom of the menu") - return + if self.__beamline_state != BeamlineStateEnum.SampleAlignment: + self.show_error_dialog(title="wrong beamline state", + msg="Cannot run automation while beamline is not in sample alignment state", + info="Please change the state at the bottom of the menu") + return if self.__pause: if len(self.table_model.samples) > 0: + if CHECK_ENABLED: + if not self.ring_current_check(): + logger.debug("low ring current, skipping") + return - if not self.ring_current_check(): - logger.debug("low ring current, skipping") - return - - elif not experiment_hutch_shutter_check(parent=self, shutter_state=self._experiment_shutter_state): - logger.debug("experiment shutter closed, user chose to skip") + elif not experiment_hutch_shutter_check(parent=self, shutter_state=self._experiment_shutter_state): + logger.debug("experiment shutter closed, user chose to skip") self.table_model.set_running(True) self.__set_to_pause = False @@ -206,15 +209,15 @@ class SampleQueuePanel(QFrame): if self._current_db_id is not None and db_id != self._current_db_id: return - def current_ok() -> bool: - return (self.ring_current is not None) and (self.ring_current >= LOW_CURRENT_THRESHOLD) - - if self.ring_current is None or (self.ring_current < LOW_CURRENT_THRESHOLD): + if CHECK_ENABLED and (self.ring_current is None or (self.ring_current < LOW_CURRENT_THRESHOLD)): # Pause UI state self.pause_automation(set_id_to_None=False) # This dialog should auto-accept when current_ok() returns True. # No user button press is required to continue. + def current_ok() -> bool: + return (self.ring_current is not None) and (self.ring_current >= LOW_CURRENT_THRESHOLD) + if ring_current_auto_check(self, self.ring_current, current_ok): logger.debug("Ring current recovered or user chose to continue," "resuming automation") From ce11e2bb55657d3e605b2d5d85a191a1ad92b70a Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 24 Feb 2026 14:49:12 +0100 Subject: [PATCH 097/144] GUI: Major rework to predict_subscriber, --- src/aare/gui/threads/prediction_subscriber.py | 88 ++++++++++++++++--- 1 file changed, 78 insertions(+), 10 deletions(-) diff --git a/src/aare/gui/threads/prediction_subscriber.py b/src/aare/gui/threads/prediction_subscriber.py index 6a09da19..1142435d 100644 --- a/src/aare/gui/threads/prediction_subscriber.py +++ b/src/aare/gui/threads/prediction_subscriber.py @@ -1,14 +1,21 @@ import json -from aare.common.logger_config import setup_logger +import numpy as np import zmq -from PySide6.QtCore import QThread, Signal -logger = setup_logger("aareGUI") +from PySide6.QtCore import QThread, Signal +from PySide6.QtGui import QImage, QPixmap + +# If you need Bayer conversion like your SampleCameraThread did: +import cv2 + class PredictionSubscriber(QThread): # emits parsed JSON payload (dict with keys: time, frame_id, shape, boxes) prediction = Signal(dict) + # NEW: emit the image that came with the prediction stream + image = Signal(QPixmap) + def __init__(self, pred_zmq_url: str, topic: bytes | str = b"", parent=None): super().__init__(parent) self._ctx = zmq.Context() @@ -22,19 +29,80 @@ class PredictionSubscriber(QThread): self._sock.connect(pred_zmq_url) self.running = True + def _try_parse_json(self, part: bytes) -> dict | None: + try: + decoded = json.loads(part.decode("utf-8")) + return decoded if isinstance(decoded, dict) else None + except Exception: + return None + + def _decode_image(self, header: dict, data: bytes) -> QPixmap | None: + """ + Supports: + - header["type"] == "uint8" + - header["shape"] == [H, W] (Bayer) -> converted to RGB + - header["shape"] == [H, W, 3] (RGB) -> used directly + """ + if not header or header.get("type") != "uint8": + return None + shape = header.get("shape") + if not shape or not isinstance(shape, (list, tuple)): + return None + + arr = np.frombuffer(data, dtype=np.uint8) + + if len(shape) == 2: + h, w = int(shape[0]), int(shape[1]) + if arr.size != h * w: + return None + bayer = arr.reshape((h, w)) + rgb = cv2.cvtColor(bayer, cv2.COLOR_BAYER_GB2RGB) + elif len(shape) == 3 and int(shape[2]) == 3: + h, w, c = int(shape[0]), int(shape[1]), int(shape[2]) + if arr.size != h * w * c: + return None + rgb = arr.reshape((h, w, 3)) + else: + return None + + # If you still need the horizontal flip you had before: + rgb = rgb[:, ::-1, :].copy() + + qimage = QImage(rgb.data, rgb.shape[1], rgb.shape[0], QImage.Format.Format_RGB888) + return QPixmap.fromImage(qimage) + def run(self): while self.running: try: parts = self._sock.recv_multipart() if not parts: continue - # publisher sends either raw JSON or [topic, json] - payload_bytes = parts[-1] - try: - payload = json.loads(payload_bytes.decode("utf-8")) - except Exception: - continue - self.prediction.emit(payload) + + json_dicts: list[dict] = [] + non_json_parts: list[bytes] = [] + + # Parse all parts; keep non-JSON as candidates for image bytes + for p in parts: + d = self._try_parse_json(p) + if d is not None: + json_dicts.append(d) + else: + non_json_parts.append(p) + + header = next((d for d in json_dicts if "shape" in d and d.get("type") == "uint8"), None) + detections = next((d for d in json_dicts if "boxes" in d), None) + + # Heuristic: image payload is usually the largest non-JSON part + image_bytes = max(non_json_parts, key=len) if non_json_parts else None + + if header and image_bytes: + pix = self._decode_image(header, image_bytes) + if pix is not None: + self.image.emit(pix) + + if detections: + self.prediction.emit(detections) + except Exception as e: logger.error("PredictionSubscriber error:", e) break From b3a961095b9629851aecb8905d2d4fb77d7f9e85 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 24 Feb 2026 14:49:40 +0100 Subject: [PATCH 098/144] mx_lib: force wait_float_condition to accept only float as value/target --- src/aare/devices/mx_lib.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/src/aare/devices/mx_lib.py b/src/aare/devices/mx_lib.py index 312880d5..6e4a7498 100644 --- a/src/aare/devices/mx_lib.py +++ b/src/aare/devices/mx_lib.py @@ -119,7 +119,7 @@ def wait_string_condition(pv: PV, target: Union[str, re.Pattern], *, timeout: fl raise TimeoutError(f"timeout waiting for string {pv.pvname} == {target}; actual value == {pv.char_value}") -def wait_float_condition(pv: PV, value, *, timeout: float = 60.0, +def wait_float_condition(pv: PV, value:float, *, timeout: float = 60.0, polling: float = 0.1, tolerance: float| None = None): """wait until an epics.PV of type double reaches value pv: epics.PV @@ -143,8 +143,6 @@ def wait_float_condition(pv: PV, value, *, timeout: float = 60.0, raises: TimeoutError if a timeout occurs """ - if not (isinstance(pv, PV) and "double" not in pv.type): - raise AttributeError("argument 'pv' must be an epics.PV of type double") try: value = float(value) From 18a463d2c3c37f062b76e088cbe92ea043496494 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 24 Feb 2026 14:50:16 +0100 Subject: [PATCH 099/144] MODELS: added 2x zoom settings to def_loop_centering_zoom so that ALC will do multiple zooms. --- src/aare/common/models.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/src/aare/common/models.py b/src/aare/common/models.py index da028d0a..892f48bf 100644 --- a/src/aare/common/models.py +++ b/src/aare/common/models.py @@ -649,7 +649,8 @@ def def_loop_centering_zoom(beamline) -> ZoomModel: if beamline == MXBeamline.X06DA: return ZoomModel(z={1: SampleCameraSettings(gain=0, exposure=0.05)}) elif beamline == MXBeamline.X10SA: - return ZoomModel(z={1: SampleCameraSettings(gain=0, exposure=0.05)}) + return ZoomModel(z={1: SampleCameraSettings(gain=0, exposure=0.002), + 280: SampleCameraSettings(gain=0, exposure=0.002)}) elif beamline == MXBeamline.X06SA: return ZoomModel(z={1: SampleCameraSettings(gain=0, exposure=0.05)}) elif beamline == MXBeamline.SIMULATED: From 48a14ac675055c9e7c9b6f936c6307a8bd35bc54 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 24 Feb 2026 14:50:55 +0100 Subject: [PATCH 100/144] ml_box: added urls for multiple beamlines and added BoxClassEnum for model class types - WIP --- src/aare/daq/mlbox.py | 35 ++++++++++++++++++++++++++--------- 1 file changed, 26 insertions(+), 9 deletions(-) diff --git a/src/aare/daq/mlbox.py b/src/aare/daq/mlbox.py index e7c230f3..094233c2 100644 --- a/src/aare/daq/mlbox.py +++ b/src/aare/daq/mlbox.py @@ -1,24 +1,41 @@ - +from enum import Enum from typing import Optional, Iterable import cv2 import requests +from aare.common.beamline import MXBeamline from aare.common.models import MLBoxModel, MLOutputModel, MLBoxType, BoundingBoxModel from aare.common.logger_config import setup_logger logger=setup_logger("aareDAQ") +class BoxClassEnum(Enum): + """Enum for MLBoxType values, should be updated if model changes + Loop_all = 0. Green box on camera + Pin = 1. Red box on camera + Crystal = 2. Blue box on camera + Loop_face = 3. Yellow box on camera + """ + Loop_all = 0 + Pin = 1 + Crystal = 2 + Loop_face = 3 + class MlBox: - def __init__(self, url="http://mx-aare-test.psi.ch:8002/predict/?model=best_v8_20102025.pt"): #mx-aare-test.psi.ch, mx-ml.psi.ch - self.__url = url - # self.class_info = [ - # ["loop_all", (255, 0, 0)], # class 0: Blue for loop_all - # ["pin", (0, 255, 0)], # class 1: Green for pin - # ["crystal", (0, 0, 255)], # class 2: Red for crystal - # ["loop_face", (255, 255, 0)] # class 3: Yellow for loop_face - # ] + def __init__(self, bl:MXBeamline, url="http://mx-aare-test.psi.ch:8002/predict/?model=best_v8_20102025.pt"): #mx-aare-test.psi.ch, mx-ml.psi.ch + if bl == MXBeamline.SIMULATED: + self.__url = None + elif bl == MXBeamline.X06DA: + self.__url = "http://mx-aare-test.psi.ch:8002/predict/?model=best_v8_20102025.pt" + elif bl == MXBeamline.X10SA: + self.__url = "http://x10sa-spark-01.psi.ch:8002/predict/?model=best_v12_22092025.engine" + elif bl == MXBeamline.X06SA: + self.__url = "" + raise NotImplemented(f"MLBox not implemente for {bl}") + else: + raise Exception(f"unknown beamline {bl}") def get_response(self, image): ok, buf = cv2.imencode(".jpg", image) From bd2d6459b2b5c757a4ee7724d87add5ff434410e Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 24 Feb 2026 14:51:22 +0100 Subject: [PATCH 101/144] Logger_config - uncommented bits so that logger works as intended --- src/aare/common/logger_config.py | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/src/aare/common/logger_config.py b/src/aare/common/logger_config.py index e93138d1..372d26be 100644 --- a/src/aare/common/logger_config.py +++ b/src/aare/common/logger_config.py @@ -47,23 +47,23 @@ def setup_logger(name="aareDAQ", base_dir: str | None = '~/tmp/mxlogs', config_p config = yaml.safe_load(f.read()) # Force base directory to be under the user's home dir - # effective_base = base_dir or '~/mxlogs' - # effective_base = os.path.abspath(os.path.expanduser(os.path.expandvars(effective_base))) + effective_base = base_dir or '~/mxlogs' + effective_base = os.path.abspath(os.path.expanduser(os.path.expandvars(effective_base))) # Ensure directories for file handlers exist - #handlers = config.get("handlers", {}) + handlers = config.get("handlers", {}) - #for h in handlers.values(): + for h in handlers.values(): - # filename = h.get("filename") - # if not filename: - # continue - # abs_filename = os.path.join(effective_base, os.path.basename(filename)) + filename = h.get("filename") + if not filename: + continue + abs_filename = os.path.join(effective_base, os.path.basename(filename)) - #h["filename"] = abs_filename - #log_dir = os.path.dirname(abs_filename) - #if log_dir and not os.path.exists(log_dir): -# os.makedirs(log_dir, exist_ok=True) + h["filename"] = abs_filename + log_dir = os.path.dirname(abs_filename) + if log_dir and not os.path.exists(log_dir): + os.makedirs(log_dir, exist_ok=True) logging.config.dictConfig(config) logging.getLogger("redis_lock").setLevel(logging.WARNING) From 75234b4cc5b3107e750f062254ca116d271c226f Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 24 Feb 2026 14:52:14 +0100 Subject: [PATCH 102/144] devices.py: added make_tell_client functionality and updated motor pvs --- src/aare/daq/devices.py | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/src/aare/daq/devices.py b/src/aare/daq/devices.py index 2eccd6a8..3de204d1 100644 --- a/src/aare/daq/devices.py +++ b/src/aare/daq/devices.py @@ -21,12 +21,12 @@ from aare.devices.enum_pv import EnumPV from aare.devices.my_motor import MyMotor from aare.devices.set_get_pv import SetGetPV, PredefinedPV -from aare.devices.tell_client import TellClient +from aare.devices.tell_client import make_tell_client class BeamlineDevices: def __init__(self, beamline: MXBeamline): BEAMLINE = beamline.value.upper() - self.tell = TellClient(beamline) + self.tell = make_tell_client(beamline) self.__aerotech = aerotech.AerotechControllerEpics(beamline) self.aerotech = aerotech.AerotechController(controller_ip="129.129.118.96") self.__smargon = smargon.Smargon(beamline) @@ -40,11 +40,11 @@ class BeamlineDevices: setpv=f"{BEAMLINE}-ES-DETCOV:SET", getpv=f"{BEAMLINE}-ES-DETCOV:GET") - self.__sample_cam = epicsAD(f"{BEAMLINE}-SAMCAM:") + self.__sample_cam = epicsAD(f"{BEAMLINE}-ES-MS:") self.__front_light = PredefinedPV(name='front_light', setpv=f"{BEAMLINE}-ES-FL:SET", - getpv=f"{BEAMLINE}-ES-FL:GET", + getpv=f"{BEAMLINE}-ES-FL:SET", predefs={"off":1.49, 'half':2.0, 'max':3.0}, @@ -52,7 +52,7 @@ class BeamlineDevices: ) self.__back_light = PredefinedPV(name='back_light', setpv =f"{BEAMLINE}-ES-BL:SET", - getpv=f"{BEAMLINE}-ES-BL:GET", + getpv=f"{BEAMLINE}-ES-BL:SET", predefs={"off": 0, 'half': 0.98, 'max': 1.2}, @@ -64,8 +64,8 @@ class BeamlineDevices: getpv = f"{BEAMLINE}-ES-BL:POS-GET", timeout = 10.0) - self.__collimator_pos = PV(f"{BEAMLINE}-ES-COL:TRY") - self.__collimator_z = MyMotor(f"{BEAMLINE}-ES-COL:TRZ") # HOW TO HANDLE!!! + self.__collimator_pos = MyMotor(f"{BEAMLINE}-ES-COL:TRY") + self.__collimator_X = MyMotor(f"{BEAMLINE}-ES-COL:TRX") # HOW TO HANDLE!!! self.__scintillator_pos = PV(f"{BEAMLINE}-ES-SCL:TRY") # how to handle!!! self.__scintillator_z = PV(f"{BEAMLINE}-ES-SCL:TRZ") @@ -81,8 +81,8 @@ class BeamlineDevices: self.__zoom = SetGetPV(name = f"zoom", - setpv = f"{BEAMLINE}-ES-SAMCAM:ZOOM.VAL", - getpv = f"{BEAMLINE}-ES-SAMCAM:ZOOM.RBV") + setpv = f"{BEAMLINE}-ES-MS:ZOOM.VAL", + getpv = f"{BEAMLINE}-ES-MS:ZOOM.RBV") self.__cryojet_pos = EnumPV(name='cryojet_pos', setpv = f"{BEAMLINE}-ES-CS:POS-SET", @@ -292,9 +292,9 @@ class BeamlineDevices: @aerotech_pos.setter def aerotech_pos(self, pos: Coordinate): - self.__aerotech.gmx.move(pos.x, wait=False) - self.__aerotech.gmy.move(pos.y, wait=False) - self.__aerotech.gmz.move(pos.z, wait=False) + # self.__aerotech.gmx.move(pos.x, wait=False) + # self.__aerotech.gmy.move(pos.y, wait=False) + # self.__aerotech.gmz.move(pos.z, wait=False) self.__aerotech.gmx.move(pos.x, wait=True) self.__aerotech.gmy.move(pos.y, wait=True) self.__aerotech.gmz.move(pos.z, wait=True) From 8624ff31efccb8aad44e993099e3cc4362a1137e Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 24 Feb 2026 14:53:23 +0100 Subject: [PATCH 103/144] GUI: updates to camera thread --- src/aare/gui/threads/camera_thread.py | 23 ++++++++++++++++++----- 1 file changed, 18 insertions(+), 5 deletions(-) diff --git a/src/aare/gui/threads/camera_thread.py b/src/aare/gui/threads/camera_thread.py index c47ad3e2..b5d16b5a 100644 --- a/src/aare/gui/threads/camera_thread.py +++ b/src/aare/gui/threads/camera_thread.py @@ -25,7 +25,7 @@ class SampleCameraThread(QThread): self.__socket.connect(zmq_url) self.running = True - self.__measure_focus = True + self.__measure_focus = False self.__focus_mask = None self.__beam_x = 0 self.__beam_y = 0 @@ -70,10 +70,23 @@ class SampleCameraThread(QThread): if len(r) != 2: continue - meta, data = r - header = json.loads(meta) - header_shape = header["shape"] - if header["type"] == "uint8" and len(header_shape) == 2: + data = r[-1] + header = None + + for part in r[:-1]: + try: + decoded = json.loads(part.decode("utf-8")) + if isinstance(decoded, dict) and "shape" in decoded: + header = decoded + break + except: + continue + + #meta, data = r + #header = json.loads(meta) + #header_shape = header["shape"] + if header and header.get("type") == "uint8":# and len(header_shape) == 2: + header_shape = header["shape"] bayer_image = np.frombuffer(data, dtype=np.uint8) bayer_image = bayer_image.reshape(header_shape) rgb_image = cv2.cvtColor(bayer_image, cv2.COLOR_BAYER_GB2RGB) From 6cf36faf3018297432f98a77d19f19d9a0e2db26 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 24 Feb 2026 15:30:59 +0100 Subject: [PATCH 104/144] Config: fix bug where active_session code be none therby throwing an error --- src/aare/daq/config.py | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/src/aare/daq/config.py b/src/aare/daq/config.py index c8b5abad..a5937d04 100644 --- a/src/aare/daq/config.py +++ b/src/aare/daq/config.py @@ -135,7 +135,19 @@ class BeamlineConfig: with redis_lock.Lock( self.__client, f"{self.__bl}:active_session_lock", expire=10 ): - if int(self.__client.get(f"{self.__bl}:active_session")) == session: + raw = self.__client.get(f"{self.__bl}:active_session") + if raw is None: + return + try: + active = int(raw) + except (TypeError, ValueError): + logger.warning( + "Invalid active_session value in redis; ignoring", + extra={"beamline": self.__bl, "raw": raw}, + ) + return + + if active == session: self.__client.delete(f"{self.__bl}:active_session") def force_set_active_session(self, session: int, expiry_sec: int) -> None: From 2dd3f0d9df6a8c1e446bf7d3423f9ea8bfc099a0 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 26 Feb 2026 16:54:09 +0100 Subject: [PATCH 105/144] init files added --- src/__init__.py | 0 src/aare/gui/tutorials/__init__.py | 0 2 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 src/__init__.py create mode 100644 src/aare/gui/tutorials/__init__.py diff --git a/src/__init__.py b/src/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/src/aare/gui/tutorials/__init__.py b/src/aare/gui/tutorials/__init__.py new file mode 100644 index 00000000..e69de29b From dee0405e2e50d1023b0e39879f4fabdb787b3c62 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 26 Feb 2026 17:17:32 +0100 Subject: [PATCH 106/144] Exceptions: further reworking how GUI and server handle exceptions, including developer dialog that allows you to search error codes in the GUI. --- src/aare/common/error_codes.py | 81 +++- src/aare/daq/config.py | 74 ++-- src/aare/daq/server.py | 10 +- src/aare/gui/panels/developer_help_dialog.py | 380 +++++++++++++++++++ src/aare/gui/threads/daq_worker.py | 123 +++++- 5 files changed, 623 insertions(+), 45 deletions(-) create mode 100644 src/aare/gui/panels/developer_help_dialog.py diff --git a/src/aare/common/error_codes.py b/src/aare/common/error_codes.py index 42bc39ee..d4247300 100644 --- a/src/aare/common/error_codes.py +++ b/src/aare/common/error_codes.py @@ -27,8 +27,87 @@ class AuthErrorCode(StrEnum): NOT_IN_ACTIVE_PGROUP = "NOT_IN_ACTIVE_PGROUP" +class DAQErrorCode(StrEnum): + BEAMLINE_BUSY = "BEAMLINE_BUSY" + +_ERROR_CODE_HELP: dict[str, str] = { + # Auth/JWT + AuthErrorCode.AUTHENTICATION_ERROR: ( + "Generic authentication problem. Usually means the request lacked valid credentials " + "(expired/invalid token, missing Authorization header, etc.)." + ), + AuthErrorCode.AUTHENTICATION_FAILED: ( + "Authentication failed during login/token creation. Typically incorrect credentials " + "or an inability to validate the user." + ), + AuthErrorCode.INVALID_TOKEN: ( + "The provided token could not be decoded/validated (bad signature, expired, malformed). " + "Re-authenticate to obtain a new token." + ), + AuthErrorCode.SESSION_ALREADY_ACTIVE: ( + "A different session currently owns control. Use “force current session” (if allowed) " + "or wait for the active session to expire/end." + ), + # Authorization + AuthErrorCode.FORBIDDEN: ( + "Generic permissions failure. The user is authenticated but not allowed to perform this action." + ), + AuthErrorCode.NOT_STAFF: ( + "This action requires staff privileges. Log in with a staff account or ask staff to perform it." + ), + AuthErrorCode.NOT_IN_ACTIVE_PGROUP: ( + "You are not a member of the currently active p-group. Change p-group or use an account " + "that belongs to the active group." + ), + # Generic + AuthErrorCode.HTTP_ERROR: ( + "Generic HTTP error wrapper. The server returned an HTTPException that wasn’t mapped to a more specific code." + ), + AuthErrorCode.INTERNAL_SERVER_ERROR: ( + "Unhandled server error. Check server logs for a stack trace and context." + ), + DAQErrorCode.BEAMLINE_BUSY: ( + "Beamline state is set to Busy by prior action. If this state persists an additional error may have occurred, " + "preventing the state from being released, this should timeout within 10 minutes." + "If this occurs please seek assistance from your local contact." + ) +} + +def error_code_help(code: str) -> str | None: + """ + Return a human help message for a code string, if known. + Accepts either enum value strings or raw strings. + """ + if not code: + return None + return _ERROR_CODE_HELP.get(str(code)) + + +def export_error_code_help() -> dict[str, str]: + """ + Export help text as {"CODE": "help text", ...} + """ + return {str(k): str(v) for k, v in _ERROR_CODE_HELP.items()} + +def export_error_codes_grouped() -> dict[str, dict[str, str]]: + """ + Export codes grouped by enum class name: + + { + "AuthErrorCode": {"INVALID_TOKEN": "INVALID_TOKEN", ...}, + "DAQErrorCode": {"BEAMLINE_BUSY": "BEAMLINE_BUSY", ...} + } + """ + enums: tuple[type[StrEnum], ...] = (AuthErrorCode, DAQErrorCode) + return {e.__name__: {c.name: str(c.value) for c in e} for e in enums} + def export_error_codes() -> dict[str, str]: """ - Convenience for clients/tests/docs: {"INVALID_TOKEN": "INVALID_TOKEN", ...} + Backwards-compatible, flat export used by older clients/tests/docs: + + {"INVALID_TOKEN": "INVALID_TOKEN", ...} + + NOTE: This intentionally exports only AuthErrorCode to avoid breaking + existing consumers that assume a flat map and/or specific keys. """ return {c.name: str(c.value) for c in AuthErrorCode} \ No newline at end of file diff --git a/src/aare/daq/config.py b/src/aare/daq/config.py index a5937d04..1c229ac6 100644 --- a/src/aare/daq/config.py +++ b/src/aare/daq/config.py @@ -82,10 +82,23 @@ class BeamlineConfig: @property def active_session(self) -> int | None: - tmp = self.__client.get(f"{self.__bl}:active_session") - if tmp is None: + """ + Read active_session from Redis and convert to int. + + Returns: + int if present and valid, otherwise None. + """ + raw = self.__client.get(f"{self.__bl}:active_session") + if raw is None: + return None + try: + return int(raw) + except (TypeError, ValueError): + logger.warning( + "Invalid active_session value in redis; treating as missing", + extra={"beamline": self.__bl, "raw": raw}, + ) return None - return int(tmp) def session_status(self, session: int) -> SessionStatus: return SessionStatus(session=self.session_state(session), @@ -102,12 +115,12 @@ class BeamlineConfig: def try_set_active_session(self, session: int, expiry_sec: int) -> None: with redis_lock.Lock( - self.__client, f"{self.__bl}:active_session_lock", expire=10 + self.__client, f"{self.__bl}:active_session_lock", expire=10 ): - tmp = self.__client.get(f"{self.__bl}:active_session") - if tmp is None: + active = self.active_session + if active is None: self.__client.set(f"{self.__bl}:active_session", session) - elif int(tmp) != session: + elif active != session: raise Exception( "There is already active session with different id. Try again later." ) @@ -116,37 +129,27 @@ class BeamlineConfig: #TODO finish setting this up! def try_extend_active_session(self, session: int, expiry_sec: int) -> None: with redis_lock.Lock( - self.__client, f"{self.__bl}:active_session_lock", expire=10 + self.__client, f"{self.__bl}:active_session_lock", expire=10 ): - tmp = self.__client.get(f"{self.__bl}:active_session") - if tmp == session: - self.__client.expire(f"{self.__bl}:active_session", expiry_sec, gt=True) - elif int(tmp) != session: - raise Exception( - "There is already active session with different id. Try again later." - ) - else: + active = self.active_session + if active is None: raise Exception( "There is no active session with given id. Try again later." ) - + if active == session: + self.__client.expire(f"{self.__bl}:active_session", expiry_sec, gt=True) + else: + raise Exception( + "There is already active session with different id. Try again later." + ) def end_active_session(self, session: int) -> None: with redis_lock.Lock( self.__client, f"{self.__bl}:active_session_lock", expire=10 ): - raw = self.__client.get(f"{self.__bl}:active_session") - if raw is None: + active = self.active_session + if active is None: return - try: - active = int(raw) - except (TypeError, ValueError): - logger.warning( - "Invalid active_session value in redis; ignoring", - extra={"beamline": self.__bl, "raw": raw}, - ) - return - if active == session: self.__client.delete(f"{self.__bl}:active_session") @@ -564,12 +567,6 @@ class BeamlineConfig: else: self.__client.set(f"{self.__bl}:last_best_b_factor", last_best_b_factor) - - - @crystal_size.setter - def crystal_size(self, xtal_size: CrystalSize): - self.__client.set(f"{self.__bl}:crystal_size", xtal_size.model_dump_json()) - @property def simple_input_parameters(self) -> SimpleStrategyInputModel | None: tmp = self.__client.get(f"{self.__bl}:simple_input_params") @@ -610,7 +607,14 @@ class BeamlineConfig: tmp = self.__client.get(f"{self.__bl}:failed_mount_count") if tmp is None: return 0 - return tmp + try: + return int(tmp) + except (TypeError, ValueError): + logger.warning( + "Failed Mount Count is not an integer, resetting to 0.", + extra={"beamline": self.__bl, "tmp": tmp}, + ) + return 0 @failed_mount_count.setter def failed_mount_count(self, count:int): diff --git a/src/aare/daq/server.py b/src/aare/daq/server.py index d01baedf..adbfd7bf 100644 --- a/src/aare/daq/server.py +++ b/src/aare/daq/server.py @@ -7,7 +7,7 @@ import cv2 import urllib3 import uvicorn from aare.common.coordinate import SmargonCoordinate, Coordinate -from aare.common.error_codes import export_error_codes +from aare.common.error_codes import export_error_codes, export_error_codes_grouped from aare.common.logger_config import setup_logger from aare.common.models import SampleShortInfo, DAQStatusModel, BeamlineStateEnum, BeamlineSettingsModel, \ SampleShortInfoList, SessionStatus, SampleCameraSettings, AutofocusSettings, TokenData, \ @@ -62,6 +62,14 @@ async def meta_error_codes() -> dict[str, str]: """ return export_error_codes() +@app.get("/meta/error-codes/grouped") +async def meta_error_codes_grouped() -> dict[str, dict[str, str]]: + """ + Grouped registry of machine-readable error codes, by enum class. + Preferred for GUIs that want multiple code categories without collisions. + """ + return export_error_codes_grouped() + @app.get("/status") async def status(token: str = Depends(oauth2_scheme)) -> DAQStatusModel: data = auth.parse_token(token) diff --git a/src/aare/gui/panels/developer_help_dialog.py b/src/aare/gui/panels/developer_help_dialog.py new file mode 100644 index 00000000..023ffad5 --- /dev/null +++ b/src/aare/gui/panels/developer_help_dialog.py @@ -0,0 +1,380 @@ +from __future__ import annotations + +import json +from typing import Dict + +from PySide6.QtCore import Qt, Slot +from PySide6.QtGui import QGuiApplication +from PySide6.QtWidgets import ( + QDialog, + QVBoxLayout, + QHBoxLayout, + QLineEdit, + QPushButton, + QTabWidget, + QTableWidget, + QTableWidgetItem, + QTextEdit, + QLabel, + QWidget, + QCheckBox, + QDialogButtonBox, + QFormLayout, + QFrame, +) + +from aare.common.error_codes import error_code_help +from aare.gui.threads.daq_worker import DAQWorker + + +class DeveloperHelpDialog(QDialog): + def __init__(self, *, daq: DAQWorker, is_staff: bool, parent=None): + super().__init__(parent) + self._daq = daq + self._is_staff = bool(is_staff) + + self._codes: Dict[str, str] = {} + self._last_payload: dict = {} + self._freeze_payload: bool = False + self._always_highlight_last_error: bool = True + + self.setWindowTitle("Developer / Help") + self.setMinimumSize(860, 560) + + root = QVBoxLayout(self) + root.setContentsMargins(12, 12, 12, 12) + root.setSpacing(8) + + # Compact banner (staff only) + self._banner = QLabel(self) + self._banner.setVisible(self._is_staff) + self._banner.setWordWrap(True) + self._banner.setTextInteractionFlags(Qt.TextInteractionFlag.TextSelectableByMouse) + self._banner.setStyleSheet( + "QLabel {" + " background: #f6f6f6;" + " border: 1px solid #d0d0d0;" + " border-radius: 6px;" + " padding: 6px 8px;" + "}" + ) + root.addWidget(self._banner) + + # Top controls + top = QHBoxLayout() + top.setSpacing(8) + root.addLayout(top) + + top.addWidget(QLabel("Filter:", self)) + + self._filter = QLineEdit(self) + self._filter.setPlaceholderText("Type to filter (matches name, value, or help)…") + self._filter.setClearButtonEnabled(True) + self._filter.setMinimumHeight(28) + self._filter.setStyleSheet( + "QLineEdit {" + " background: white;" + " border: 1px solid #bdbdbd;" + " border-radius: 6px;" + " padding: 4px 8px;" + "}" + ) + self._filter.textChanged.connect(self._apply_filter) + top.addWidget(self._filter, 1) + + self._refresh_btn = QPushButton("Refresh", self) + self._refresh_btn.clicked.connect(self.refresh) + top.addWidget(self._refresh_btn) + + self._freeze_cb = QCheckBox("Freeze payload", self) + self._freeze_cb.setVisible(self._is_staff) + self._freeze_cb.toggled.connect(self._set_freeze_payload) + top.addWidget(self._freeze_cb) + + self._highlight_cb = QCheckBox("Always highlight last error code", self) + self._highlight_cb.setVisible(self._is_staff) + self._highlight_cb.setChecked(True) + self._highlight_cb.toggled.connect(self._set_always_highlight) + top.addWidget(self._highlight_cb) + + self._copy_selected_btn = QPushButton("Copy code", self) + self._copy_selected_btn.clicked.connect(self._copy_selected_code) + top.addWidget(self._copy_selected_btn) + + self._copy_all_btn = QPushButton("Copy all (filtered)", self) + self._copy_all_btn.clicked.connect(self._copy_all_filtered) + top.addWidget(self._copy_all_btn) + + self._copy_payload_btn = QPushButton("Copy payload", self) + self._copy_payload_btn.setVisible(self._is_staff) + self._copy_payload_btn.clicked.connect(self._copy_payload) + top.addWidget(self._copy_payload_btn) + + # Tabs + self._tabs = QTabWidget(self) + root.addWidget(self._tabs, 1) + + # Tab: error codes + details pane + self._codes_table = QTableWidget(self) + self._codes_table.setColumnCount(1) + self._codes_table.setHorizontalHeaderLabels(["Name"]) + self._codes_table.setSortingEnabled(True) + self._codes_table.setEditTriggers(QTableWidget.EditTrigger.NoEditTriggers) + self._codes_table.setSelectionBehavior(QTableWidget.SelectionBehavior.SelectRows) + self._codes_table.setSelectionMode(QTableWidget.SelectionMode.SingleSelection) + self._codes_table.itemSelectionChanged.connect(self._update_code_details) + self._codes_table.horizontalHeader().setStretchLastSection(True) + + # Details panel (pretty form layout) + self._details_frame = QFrame(self) + self._details_frame.setFrameShape(QFrame.Shape.StyledPanel) + self._details_frame.setStyleSheet( + "QFrame {" + " background: #fafafa;" + " border: 1px solid #d0d0d0;" + " border-radius: 6px;" + "}" + ) + + details_layout = QVBoxLayout(self._details_frame) + details_layout.setContentsMargins(10, 10, 10, 10) + details_layout.setSpacing(8) + + form = QFormLayout() + form.setLabelAlignment(Qt.AlignmentFlag.AlignRight | Qt.AlignmentFlag.AlignVCenter) + details_layout.addLayout(form) + + self._detail_name = QLabel("-", self) + self._detail_name.setTextInteractionFlags(Qt.TextInteractionFlag.TextSelectableByMouse) + form.addRow("Name:", self._detail_name) + + value_row = QHBoxLayout() + value_row.setSpacing(8) + self._detail_value = QLabel("-", self) + self._detail_value.setTextInteractionFlags(Qt.TextInteractionFlag.TextSelectableByMouse) + self._copy_value_btn = QPushButton("Copy value", self) + self._copy_value_btn.clicked.connect(self._copy_selected_value) + value_row.addWidget(self._detail_value, 1) + value_row.addWidget(self._copy_value_btn, 0) + value_row_widget = QWidget(self) + value_row_widget.setLayout(value_row) + form.addRow("Value:", value_row_widget) + + self._detail_help = QLabel("-", self) + self._detail_help.setWordWrap(True) + self._detail_help.setTextInteractionFlags(Qt.TextInteractionFlag.TextSelectableByMouse) + self._detail_help.setStyleSheet( + "QLabel {" + " background: white;" + " border: 1px solid #e0e0e0;" + " border-radius: 6px;" + " padding: 8px;" + "}" + ) + details_layout.addWidget(QLabel("Help:", self)) + details_layout.addWidget(self._detail_help, 1) + + codes_container = QWidget(self) + codes_layout = QVBoxLayout(codes_container) + codes_layout.setContentsMargins(0, 0, 0, 0) + codes_layout.setSpacing(8) + codes_layout.addWidget(self._codes_table, 1) + codes_layout.addWidget(self._details_frame, 0) + + self._tabs.addTab(codes_container, "Error codes") + + # Tab: last error payload (staff only) + self._payload_text = QTextEdit(self) + self._payload_text.setReadOnly(True) + self._payload_text.setLineWrapMode(QTextEdit.LineWrapMode.NoWrap) + + if self._is_staff: + payload_container = QWidget(self) + payload_layout = QVBoxLayout(payload_container) + payload_layout.setContentsMargins(0, 0, 0, 0) + payload_layout.addWidget(self._payload_text, 1) + self._tabs.addTab(payload_container, "Last error payload") + else: + self._payload_text.setPlainText("Hidden (staff only).") + + # Bottom button box + buttons = QDialogButtonBox(QDialogButtonBox.StandardButton.Close, parent=self) + buttons.rejected.connect(self.reject) + buttons.accepted.connect(self.accept) + root.addWidget(buttons) + + # Wire signals + self._daq.error_codes_loaded.connect(self.set_error_codes) + self._daq.last_error_payload_changed.connect(self.set_last_error_payload) + + self._update_banner() + self._update_code_details() + + @Slot(bool) + def _set_freeze_payload(self, enabled: bool) -> None: + self._freeze_payload = bool(enabled) + + @Slot(bool) + def _set_always_highlight(self, enabled: bool) -> None: + self._always_highlight_last_error = bool(enabled) + + @Slot() + def refresh(self) -> None: + self._daq.get_error_codes() + self.set_last_error_payload(self._daq.get_last_error_payload()) + + @Slot(dict) + def set_error_codes(self, codes: dict) -> None: + self._codes = {str(k): str(v) for k, v in (codes or {}).items()} + self._apply_filter() + + @Slot(dict) + def set_last_error_payload(self, payload: dict) -> None: + if not self._is_staff: + return + if self._freeze_payload: + return + + self._last_payload = payload or {} + pretty = json.dumps(self._last_payload, indent=2, sort_keys=True, default=str) + self._payload_text.setPlainText(pretty) + self._update_banner() + self._select_code_from_last_error() + + def _code_name_for_value(self, value: str) -> str | None: + for k, v in self._codes.items(): + if v == value: + return k + return None + + def _extract_code_message(self) -> tuple[str | None, str | None]: + body = (self._last_payload or {}).get("body_json") + if isinstance(body, dict): + code = body.get("code") + msg = body.get("message") + return (str(code) if code is not None else None, str(msg) if msg is not None else None) + return (None, None) + + def _update_banner(self) -> None: + if not self._is_staff: + return + + code, msg = self._extract_code_message() + if code or msg: + parts = [] + if code: + parts.append(f"Last error: {code}") + if msg: + parts.append(msg) + self._banner.setText(" — ".join(parts)) + else: + self._banner.setText("Last error: (none captured yet)") + + def _code_name_for_value(self, value: str) -> str | None: + for name, v in (self._codes or {}).items(): + if str(v) == str(value): + return str(name) + return None + + def _select_code_by_name(self, name: str) -> None: + if not name: + return + for row in range(self._codes_table.rowCount()): + item = self._codes_table.item(row, 0) + if item and item.text() == name: + self._codes_table.setCurrentCell(row, 0) + self._codes_table.scrollToItem(item) + return + + def _select_code_from_last_error(self) -> None: + if not self._codes: + return + code_value, _ = self._extract_code_message() + if not code_value: + return + name = self._code_name_for_value(code_value) + if name: + self._select_code_by_name(name) + + @Slot() + def _apply_filter(self) -> None: + term = (self._filter.text() or "").strip().lower() + + items = sorted(self._codes.items(), key=lambda kv: kv[0]) + + if term: + def _match(name: str, value: str) -> bool: + h = error_code_help(value) or "" + return term in f"{name}\n{value}\n{h}".lower() + items = [(k, v) for (k, v) in items if _match(k, v)] + + self._codes_table.setRowCount(len(items)) + for row, (k, v) in enumerate(items): + item = QTableWidgetItem(k) + item.setFlags(item.flags() & ~Qt.ItemFlag.ItemIsEditable) + self._codes_table.setItem(row, 0, item) + + self._codes_table.resizeColumnsToContents() + # Keep selection sensible (don’t resize columns here; avoids jitter) + if self._codes_table.rowCount() > 0 and self._codes_table.currentRow() < 0: + self._codes_table.setCurrentCell(0, 0) + + self._update_code_details() + + # If enabled, re-try selection after the table content changes + if self._is_staff and self._always_highlight_last_error and not self._freeze_payload: + self._select_code_from_last_error() + + def _selected_code(self) -> tuple[str | None, str | None]: + row = self._codes_table.currentRow() + if row < 0: + return (None, None) + name_item = self._codes_table.item(row, 0) + if not name_item: + return (None, None) + name = name_item.text() + value = self._codes.get(name) + return (name, value) + + @Slot() + def _update_code_details(self) -> None: + name, value = self._selected_code() + if not name or not value: + self._detail_name.setText("-") + self._detail_value.setText("-") + self._detail_help.setText("Select an error code to see details.") + self._copy_value_btn.setEnabled(False) + return + + self._detail_name.setText(name) + self._detail_value.setText(value) + self._detail_help.setText(error_code_help(value) or "(no help text defined yet)") + self._copy_value_btn.setEnabled(True) + + @Slot() + def _copy_selected_code(self) -> None: + name, value = self._selected_code() + if not name or not value: + QGuiApplication.clipboard().setText("") + return + QGuiApplication.clipboard().setText(f"{name}={value}") + + @Slot() + def _copy_selected_value(self) -> None: + _, value = self._selected_code() + QGuiApplication.clipboard().setText(value or "") + + @Slot() + def _copy_all_filtered(self) -> None: + rows = self._codes_table.rowCount() + out = {} + for r in range(rows): + name = self._codes_table.item(r, 0).text() + out[name] = self._codes.get(name, "") + QGuiApplication.clipboard().setText(json.dumps(out, indent=2, sort_keys=True)) + + @Slot() + def _copy_payload(self) -> None: + if not self._is_staff: + return + QGuiApplication.clipboard().setText(self._payload_text.toPlainText()) diff --git a/src/aare/gui/threads/daq_worker.py b/src/aare/gui/threads/daq_worker.py index 12214701..c527a7fe 100644 --- a/src/aare/gui/threads/daq_worker.py +++ b/src/aare/gui/threads/daq_worker.py @@ -8,6 +8,7 @@ from PySide6.QtNetwork import QNetworkAccessManager, QNetworkRequest, QNetworkRe from jfjoch_client import ScanResult, ScanResultImagesInner from aare.common.coordinate import SmargonCoordinate, Coordinate +from aare.common.error_codes import export_error_codes from aare.common.models import DAQStatusModel, SampleShortInfoList, SampleShortInfo, SampleCameraSettings, \ AutofocusSettings, SimpleScanParameters, FluorescenceSpectrumParameterModel, FluorescenceSpectrumOutputModel from aare.common.raster_grid import RasterGridRequest, CompletedRasterGrid @@ -37,6 +38,9 @@ class DAQWorker(QObject): fluorimeter_update = Signal(list, list, int) fluorimeter_spectrum_update = Signal(FluorescenceSpectrumOutputModel) + error_codes_loaded = Signal(dict) + last_error_payload_changed = Signal(dict) + def __init__(self, base_url: str | None, token: str, parent=None): super().__init__(parent) self.__token = token @@ -55,6 +59,15 @@ class DAQWorker(QObject): self._status_request_min_interval = 10.0 self._last_status_error = None + self._last_error_payload: dict = {} + + def get_last_error_payload(self) -> dict: + return dict(self._last_error_payload or {}) + + def _set_last_error_payload(self, payload: dict) -> None: + self._last_error_payload = payload or {} + self.last_error_payload_changed.emit(self.get_last_error_payload()) + @Slot() def regular_update(self): if self.__counter % SPREADHSEET_FREQUENCY == 0: @@ -125,18 +138,44 @@ class DAQWorker(QObject): if reply.error() != QNetworkReply.NetworkError.NoError: status = reply.attribute(QNetworkRequest.Attribute.HttpStatusCodeAttribute) err_details = reply.errorString() + raw_body = "" + body_json = None try: - response_body = reply.readAll().data().decode("utf-8") - if response_body: - body_json = json.loads(response_body) - if "detail" in body_json: - err_details = body_json["detail"] + raw_body = reply.readAll().data().decode("utf-8") + if raw_body: + body_json = json.loads(raw_body) + if isinstance(body_json, dict): + if "detail" in body_json: + err_details = body_json["detail"] + elif "message" in body_json: + err_details = body_json["message"] + else: + err_details = raw_body else: - err_details = response_body + err_details = raw_body except Exception: pass - if status== 401: + try: + url = reply.request().url().toString() + except Exception: + url = "" + + net_err = reply.error() + net_err_name = getattr(net_err, "name", None) + net_err_value = getattr(net_err, "value", None) + + self._set_last_error_payload({ + "url": url, + "http_status": int(status) if status is not None else None, + "network_error": net_err_name or str(net_err), + "network_error_value": int(net_err_value) if isinstance(net_err_value, int) else None, + "error_string": str(reply.errorString()), + "body_raw": raw_body, + "body_json": body_json, + }) + + if status == 401: now = time.monotonic() if now - self._last_auth_error_log_ts > self._auth_error_min_interval: logger.error(f"{err_details}: baton taken by another user") @@ -147,6 +186,7 @@ class DAQWorker(QObject): else: logger.error(f"{err_details}") self.http_error.emit(err_details) + reply.deleteLater() def generic_post(self, url: str, body: str = ""): @@ -658,4 +698,71 @@ class DAQWorker(QObject): status = obj.get("status", -1) self.fluorimeter_update.emit(data, bkg, status) except Exception as e: - logger.error(f"SSE parse error: {e}") \ No newline at end of file + logger.error(f"SSE parse error: {e}") + + @staticmethod + def _flatten_error_codes_payload(obj: dict) -> dict[str, str]: + """ + Accept either: + - flat: {"INVALID_TOKEN": "INVALID_TOKEN"} + - grouped: {"AuthErrorCode": {"INVALID_TOKEN": "INVALID_TOKEN"}, "DAQErrorCode": {...}} + + Output is always flat strings, using 'Group.KEY' for grouped input. + """ + out: dict[str, str] = {} + for k, v in (obj or {}).items(): + if isinstance(v, dict): + group = str(k) + for kk, vv in v.items(): + out[f"{group}.{str(kk)}"] = str(vv) + else: + out[str(k)] = str(v) + return out + + @Slot() + def get_error_codes(self) -> None: + """ + Fetch server error codes registry for developer/help UI. + Emits error_codes_loaded(dict). + """ + if self.__base_url is None: + self.error_codes_loaded.emit(export_error_codes()) + return + + # Prefer grouped (newer servers), but we'll gracefully fall back if missing. + request = QNetworkRequest(QUrl(f"{self.__base_url}/meta/error-codes/grouped")) + request.setRawHeader(b"Authorization", f"Bearer {self.__token}".encode("utf-8")) + reply = self.__net_manager.get(request) + reply.finished.connect(lambda: self._handle_error_codes_response(reply)) + + def _retry_error_codes_legacy(self) -> None: + request = QNetworkRequest(QUrl(f"{self.__base_url}/meta/error-codes")) + request.setRawHeader(b"Authorization", f"Bearer {self.__token}".encode("utf-8")) + reply = self.__net_manager.get(request) + reply.finished.connect(lambda: self._handle_error_codes_response(reply)) + + @Slot(QNetworkReply) + def _handle_error_codes_response(self, reply: QNetworkReply) -> None: + try: + status = reply.attribute(QNetworkRequest.Attribute.HttpStatusCodeAttribute) + + # If the grouped endpoint isn't available on this server, fall back to legacy. + try: + url = reply.request().url().toString() + except Exception: + url = "" + + if int(status) == 404 and url.endswith("/meta/error-codes/grouped"): + reply.deleteLater() + self._retry_error_codes_legacy() + return + + payload = self.handle_response(reply) + obj = json.loads(payload) if payload else {} + if not isinstance(obj, dict): + raise RuntimeError("Invalid error-codes payload (expected JSON object)") + out = self._flatten_error_codes_payload(obj) + self.error_codes_loaded.emit(out) + except Exception as e: + logger.error(f"Failed to load error codes: {e}") + self.http_error.emit(str(e)) \ No newline at end of file From 8f59781107b5c0226c43465deb6a9851d9a03eec Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 26 Feb 2026 17:19:08 +0100 Subject: [PATCH 107/144] Tutorials: added the option to build tutorials for the GUI. actual tutorials are a WIP. --- src/aare/gui/main_window.py | 28 +- src/aare/gui/tutorials/tutorial_manager.py | 404 ++++++++++++++++++ .../gui/tutorials/tutorial_registration.py | 53 +++ 3 files changed, 484 insertions(+), 1 deletion(-) create mode 100644 src/aare/gui/tutorials/tutorial_manager.py create mode 100644 src/aare/gui/tutorials/tutorial_registration.py diff --git a/src/aare/gui/main_window.py b/src/aare/gui/main_window.py index 348f68cf..afaf2967 100644 --- a/src/aare/gui/main_window.py +++ b/src/aare/gui/main_window.py @@ -28,10 +28,13 @@ from aare.gui.scan_logic.raster_grid_manager import RasterGridManager from aare.gui.scan_logic.rotation_scan_manager import RotationScanManager from aare.gui.scan_logic.sample_mount_logic import SampleMountLogic from aare.gui.threads.axis_video_thread import VideoThread +from aare.gui.tutorials.tutorial_manager import TutorialManager, TutorialStep + from aare.gui.threads.camera_thread import SampleCameraThread from aare.gui.threads.prediction_subscriber import PredictionSubscriber from aare.gui.threads.daq_worker import DAQWorker from aare.gui.threads.jfjoch_viewer import JFJochDBusClient +from aare.gui.tutorials.tutorial_registration import register_tutorials from aare.gui.widgets.camera_image import SampleCameraImageLabel from aare.gui.widgets.no_wheel_scroll_area import NoWheelScrollArea from aare.gui.widgets.status_bar import StatusBar @@ -56,6 +59,8 @@ class MainWindow(QMainWindow): self.__base_url = base_url self.__token = token self.__mounting = False + # Tutorial manager (define tutorials after widgets exist) + self.tutorial_manager = TutorialManager(self) self.viewer = JFJochDBusClient() @@ -214,6 +219,8 @@ class MainWindow(QMainWindow): self.setWindowTitle("AareGUI") self.create_menu_bar() + # Define tutorials now that the UI exists + self.status_bar = StatusBar(self.__decoded_token, parent=self) self.setStatusBar(self.status_bar) @@ -267,7 +274,8 @@ class MainWindow(QMainWindow): # Prediction subscriber thread if pred_zmq_addr is not None: logger.debug(f"Starting prediction subscriber thread {pred_zmq_addr}") - self.prediction_thread = PredictionSubscriber(pred_zmq_url=pred_zmq_addr, topic='detections') + self.prediction_thread = PredictionSubscriber(pred_zmq_url=pred_zmq_addr, topic="detections") + self.prediction_thread.image.connect(self.sample_camera.update_pixmap) self.prediction_thread.prediction.connect(self.sample_camera.update_detections) self.prediction_thread.start() else: @@ -380,6 +388,14 @@ class MainWindow(QMainWindow): self.daq.fluorimeter_spectrum_update.connect(self.fluor_panel.update_plot) self.daq.fluorimeter_spectrum_update.connect(lambda: self.fluor_panel_dock.setVisible(True)) + register_tutorials(self, self.tutorial_manager) + + def start_text_tutorial(self) -> None: + self.tutorial_manager.start("intro_text") + + def start_interactive_tutorial(self) -> None: + self.tutorial_manager.start("intro_interactive") + def create_menu_bar(self): """Create a menu bar with File->Quit and Help->About.""" # Main menu bar @@ -444,6 +460,16 @@ class MainWindow(QMainWindow): about_action.triggered.connect(self.show_about_dialog) help_menu.addAction(about_action) + help_menu.addSeparator() + + start_text_tutorial_action = QAction("Start Tutorial (Text)", self) + start_text_tutorial_action.triggered.connect(self.start_text_tutorial) + help_menu.addAction(start_text_tutorial_action) + + start_interactive_tutorial_action = QAction("Start Tutorial (Interactive)", self) + start_interactive_tutorial_action.triggered.connect(self.start_interactive_tutorial) + help_menu.addAction(start_interactive_tutorial_action) + def show_about_dialog(self): QMessageBox.about( self, diff --git a/src/aare/gui/tutorials/tutorial_manager.py b/src/aare/gui/tutorials/tutorial_manager.py new file mode 100644 index 00000000..ea9bb43f --- /dev/null +++ b/src/aare/gui/tutorials/tutorial_manager.py @@ -0,0 +1,404 @@ +from __future__ import annotations +from dataclasses import dataclass +from typing import List, Dict, Callable, Optional + +from PySide6.QtCore import ( + Qt, + QRect, + QPoint, + QPropertyAnimation, + QObject, + Signal, + QEasingCurve, + Property, + QTimer, +) +from PySide6.QtGui import ( + QColor, QPainter, QPen +) +from PySide6.QtWidgets import ( + QWidget, QLabel, QPushButton +) + + +@dataclass +class TutorialStep: + widget: QWidget + text: str + wait_for_click: bool = False # If true, wait for user clicking the highlight area + + # New: auto-advance when condition becomes True + wait_for_condition: Optional[Callable[[], bool]] = None + condition_poll_ms: int = 200 + condition_timeout_ms: Optional[int] = None # None = no timeout + + on_step_start: Optional[Callable] = None + on_step_end: Optional[Callable] = None + + +class TutorialOverlay(QWidget): + """Visual layer: draws highlight, handles animations, shows callouts.""" + + animation_finished = Signal() # Visual-only + proceed_requested = Signal() # Next / Finish / click highlight + cancelled = Signal() # End tutorial + + def __init__(self, parent=None): + super().__init__(parent) + self.setAttribute(Qt.WA_TransparentForMouseEvents, False) + + # IMPORTANT: keep this as a CHILD widget of the main window. + # Using Qt.Tool turns it into a top-level tool window and breaks geometry alignment. + self.setWindowFlags(Qt.FramelessWindowHint) + + self.setAttribute(Qt.WA_TranslucentBackground, True) + self.setFocusPolicy(Qt.StrongFocus) + + self.current_rect = QRect() + self.target_rect = QRect() + self.opacity = 1.0 + self._waiting_for_click = False + + self._highlight_padding_px = 6 # makes highlight cover frames/margins better + + self._dummy = 0.0 # Qt-animatable backing field + + self.anim = QPropertyAnimation(self, b"dummy") + self.anim.valueChanged.connect(self.update) + self.anim.finished.connect(self.animation_finished.emit) + + # Callout bubble + self.callout = QLabel(self) + self.callout.setStyleSheet(""" + background: white; + color: black; + padding: 10px; + border: 2px solid #555; + border-radius: 8px; + font-size: 13px; + """) + self.callout.setWordWrap(True) + self.callout.hide() + + button_style = """ + QPushButton { + font-size: 14px; + font-weight: 600; + padding: 10px 16px; + } + """ + + # Next/Finish button + self.next_button = QPushButton("Next", self) + self.next_button.setStyleSheet(button_style) + self.next_button.setMinimumHeight(44) + self.next_button.clicked.connect(self.proceed_requested.emit) + self.next_button.hide() + + # Always-available "End tutorial" button (top-right) + self.end_button = QPushButton("End tutorial", self) + self.end_button.setStyleSheet(button_style) + self.end_button.setMinimumHeight(44) + self.end_button.clicked.connect(self.cancelled.emit) + self.end_button.hide() + + self.hide() + + def get_dummy(self) -> float: + return float(self._dummy) + + def set_dummy(self, value: float) -> None: + self._dummy = float(value) + t = self._dummy + + self.current_rect = self._interpolate_rect(self.current_rect, self.target_rect, t) + self.opacity = t + self.update() + + dummy = Property(float, get_dummy, set_dummy) + + def showEvent(self, event): + super().showEvent(event) + if self.parentWidget() is not None: + self.setGeometry(self.parentWidget().rect()) + self._position_end_button() + + def resizeEvent(self, event): + super().resizeEvent(event) + if self.parentWidget() is not None: + self.setGeometry(self.parentWidget().rect()) + self._position_end_button() + + def _position_end_button(self) -> None: + self.end_button.adjustSize() + margin = 10 + x = max(margin, self.width() - self.end_button.width() - margin) + y = margin + self.end_button.move(x, y) + self.end_button.setVisible(True) + + def keyPressEvent(self, event): + if event.key() == Qt.Key_Escape: + self.cancelled.emit() + event.accept() + return + super().keyPressEvent(event) + + def mousePressEvent(self, event): + if self._waiting_for_click and self.current_rect.isValid(): + if self.current_rect.contains(event.pos()): + self.proceed_requested.emit() + event.accept() + return + super().mousePressEvent(event) + + def animate_to(self, rect: QRect, duration=400): + """Fade old highlight out, fade new one in.""" + # Clamp target rect inside overlay so it stays visible + self.target_rect = rect.intersected(self.rect()) + + self.anim.stop() + self.anim.setStartValue(0.0) + self.anim.setEndValue(1.0) + self.anim.setDuration(duration) + self.anim.setEasingCurve(QEasingCurve.InOutQuad) + self.anim.start() + + def paintEvent(self, event): + painter = QPainter(self) + painter.fillRect(self.rect(), QColor(0, 0, 0, int(150 * self.opacity))) + + if self.current_rect.isValid(): + pen = QPen(Qt.yellow, 4) + painter.setPen(pen) + painter.setBrush(Qt.NoBrush) + painter.drawRoundedRect(self.current_rect, 8, 8) + + def _interpolate_rect(self, r1: QRect, r2: QRect, t: float) -> QRect: + x = r1.x() + (r2.x() - r1.x()) * t + y = r1.y() + (r2.y() - r1.y()) * t + w = r1.width() + (r2.width() - r1.width()) * t + h = r1.height() + (r2.height() - r1.height()) * t + return QRect(int(x), int(y), int(w), int(h)) + + def show_step(self, step: TutorialStep): + widget = step.widget + + # Map the widget's *rect* (not just size) to global -> overlay coords + top_left_global = widget.mapToGlobal(widget.rect().topLeft()) + bottom_right_global = widget.mapToGlobal(widget.rect().bottomRight()) + + top_left = self.mapFromGlobal(top_left_global) + bottom_right = self.mapFromGlobal(bottom_right_global) + + rect = QRect(top_left, bottom_right).normalized() + + # Pad highlight so it better covers frames/margins + pad = int(self._highlight_padding_px) + rect.adjust(-pad, -pad, pad, pad) + + rect = rect.intersected(self.rect()) + + self.current_rect = rect + self.target_rect = rect + + self.callout.setText(step.text) + self.callout.adjustSize() + + margin = 10 + + bubble_x = rect.x() + bubble_y_above = rect.y() - self.callout.height() - 12 + bubble_y_below = rect.y() + rect.height() + 12 + bubble_y = bubble_y_above if bubble_y_above >= margin else bubble_y_below + + bubble_x = min(max(margin, bubble_x), max(margin, self.width() - self.callout.width() - margin)) + bubble_y = min(max(margin, bubble_y), max(margin, self.height() - self.callout.height() - margin)) + + self.callout.move(bubble_x, bubble_y) + self.callout.show() + + self._reposition_next_button() + self.update() + + def _reposition_next_button(self) -> None: + if not self.next_button.isVisible(): + return + + self.next_button.adjustSize() + margin = 10 + + x = self.callout.x() + self.callout.width() - self.next_button.width() + y = self.callout.y() + self.callout.height() + 10 + + x = min(max(margin, x), max(margin, self.width() - self.next_button.width() - margin)) + y = min(max(margin, y), max(margin, self.height() - self.next_button.height() - margin)) + + self.next_button.move(x, y) + + def set_waiting_for_click(self, waiting: bool): + self._waiting_for_click = waiting + + def set_next_enabled(self, enabled: bool, label: str = "Next"): + self.next_button.setText(label) + self.next_button.setVisible(enabled) + self.next_button.setEnabled(enabled) + self._reposition_next_button() + + def set_next_visible_but_disabled(self, label: str) -> None: + """Show Next/Finish button but disabled (useful while waiting for a condition).""" + self.next_button.setText(label) + self.next_button.setVisible(True) + self.next_button.setEnabled(False) + self._reposition_next_button() + + +class TutorialManager(QObject): + """Handles multiple tutorials, step sequencing, waiting for clicks/conditions.""" + + def __init__(self, parent_window): + super().__init__() + self.window = parent_window + self.overlay = TutorialOverlay(parent_window) + + self.tutorials: Dict[str, List[TutorialStep]] = {} + self.current_tutorial: Optional[List[TutorialStep]] = None + self.index = -1 + + self._timeout_timer = QTimer(self) + self._timeout_timer.setSingleShot(True) + self._timeout_timer.timeout.connect(self.stop) + + self._condition_poll_timer = QTimer(self) + self._condition_poll_timer.setSingleShot(False) + self._condition_poll_timer.timeout.connect(self._check_condition_and_advance) + + self._condition_timeout_timer = QTimer(self) + self._condition_timeout_timer.setSingleShot(True) + self._condition_timeout_timer.timeout.connect(self._condition_timed_out) + + self.overlay.proceed_requested.connect(self._next_step_logic) + self.overlay.cancelled.connect(self.stop) + + def add_tutorial(self, name: str, steps: List[TutorialStep]): + self.tutorials[name] = steps + + def start(self, name: str, timeout_ms: int | None = None): + if name not in self.tutorials: + print("Tutorial not found:", name) + return + + self.current_tutorial = self.tutorials[name] + self.index = -1 + + self.overlay.setGeometry(self.window.rect()) + self.overlay.show() + self.overlay.raise_() + self.overlay.activateWindow() + self.overlay.setFocus() + + self._timeout_timer.stop() + if timeout_ms is not None and timeout_ms > 0: + self._timeout_timer.start(int(timeout_ms)) + + self._stop_condition_wait() + self._next_step_logic() + + def stop(self): + self._timeout_timer.stop() + self._stop_condition_wait() + self.overlay.hide() + self.current_tutorial = None + self.index = -1 + + def _stop_condition_wait(self) -> None: + self._condition_poll_timer.stop() + self._condition_timeout_timer.stop() + + def _check_condition_and_advance(self) -> None: + """Poll the current step condition; advance when satisfied.""" + if not self.current_tutorial: + self._stop_condition_wait() + return + if not (0 <= self.index < len(self.current_tutorial)): + self._stop_condition_wait() + return + + step = self.current_tutorial[self.index] + cond = step.wait_for_condition + if cond is None: + self._stop_condition_wait() + return + + try: + ok = bool(cond()) + except Exception as exc: + # Don't crash the GUI; just stop waiting and let user end tutorial. + print(f"Tutorial condition raised exception: {exc}") + self._stop_condition_wait() + self.overlay.set_next_enabled(True, label="Next") + return + + if ok: + self._stop_condition_wait() + self._next_step_logic() + + def _condition_timed_out(self) -> None: + """If a condition times out, re-enable Next so user can proceed manually.""" + self._condition_poll_timer.stop() + self.overlay.set_next_enabled(True, label="Next") + + def _next_step_logic(self): + if not self.current_tutorial: + return + + # End previous step hook + if 0 <= self.index < len(self.current_tutorial): + prev = self.current_tutorial[self.index] + if prev.on_step_end: + prev.on_step_end() + + # Next step + self.index += 1 + if self.index >= len(self.current_tutorial): + self.stop() + return + + step = self.current_tutorial[self.index] + + if step.on_step_start: + step.on_step_start() + + widget = step.widget + global_pos = widget.mapToGlobal(QPoint(0, 0)) + pos = self.overlay.mapFromGlobal(global_pos) + rect = QRect(pos, widget.size()).intersected(self.overlay.rect()) + + self.overlay.animate_to(rect) + self.overlay.show_step(step) + + is_last = (self.index == len(self.current_tutorial) - 1) + + # Interaction gating priority: + # 1) wait_for_condition (auto-advance) + # 2) wait_for_click (click highlight) + # 3) manual Next/Finish + self._stop_condition_wait() + + if step.wait_for_condition is not None: + # show disabled button to communicate "waiting..." + self.overlay.set_waiting_for_click(False) + self.overlay.set_next_visible_but_disabled("Waiting…") + + poll_ms = max(50, int(step.condition_poll_ms)) + self._condition_poll_timer.start(poll_ms) + + if step.condition_timeout_ms is not None and step.condition_timeout_ms > 0: + self._condition_timeout_timer.start(int(step.condition_timeout_ms)) + return + + self.overlay.set_waiting_for_click(bool(step.wait_for_click)) + if step.wait_for_click: + self.overlay.set_next_enabled(False) + else: + self.overlay.set_next_enabled(True, label=("Finish" if is_last else "Next")) \ No newline at end of file diff --git a/src/aare/gui/tutorials/tutorial_registration.py b/src/aare/gui/tutorials/tutorial_registration.py new file mode 100644 index 00000000..b296c53f --- /dev/null +++ b/src/aare/gui/tutorials/tutorial_registration.py @@ -0,0 +1,53 @@ +# src/aare/gui/tutorials/tutorial_definitions.py +from __future__ import annotations + +from aare.common.models import BeamlineStateEnum +from aare.gui.tutorials.tutorial_manager import TutorialManager, TutorialStep + + +def register_tutorials(window, tutorial_manager: TutorialManager) -> None: + """ + Register all GUI tutorials. + + IMPORTANT: + - Do NOT import MainWindow here (avoids import loops). + - Use widgets that already exist on `window`. + """ + + steps_text = [ + TutorialStep( + widget=window.data_collection, + text="This panel contains controls for configuring data collection.\n\nClick Next to continue." + ), + TutorialStep( + widget=window.video_tab, + text="This area shows camera and beamline views.\n\nClick Next to continue." + ), + TutorialStep( + widget=window.beamline, + text="These panels contain beamline controls.\n\nClick Next to finish." + ), + ] + + steps_interactive = [ + TutorialStep( + widget=window.data_collection, + text="Interactive tutorial: click inside the highlighted area to continue.", + wait_for_click=True + ), + TutorialStep( + widget=window.video_tab, + text="Now click inside the highlighted video tab area to continue.", + wait_for_click=True + ), + TutorialStep( + widget=window.status_bar, + text="Waiting for the beamline to return to SampleAlignment...", + wait_for_condition=lambda: window.status_bar.last_status.state == BeamlineStateEnum.SampleAlignment, + condition_poll_ms=200, + condition_timeout_ms=30_000, + ) + ] + + tutorial_manager.add_tutorial("intro_text", steps_text) + tutorial_manager.add_tutorial("intro_interactive", steps_interactive) From aec1cb305042a5cb2d8fe67150d91a3962d44c36 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 26 Feb 2026 17:19:27 +0100 Subject: [PATCH 108/144] Exceptions: added developed help dialog to main window --- src/aare/gui/main_window.py | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/src/aare/gui/main_window.py b/src/aare/gui/main_window.py index afaf2967..6e66371f 100644 --- a/src/aare/gui/main_window.py +++ b/src/aare/gui/main_window.py @@ -19,6 +19,7 @@ from aare.gui.panels.LogPanel import LogDock from aare.gui.panels.beamline_controls import BeamlineControls from aare.gui.panels.data_collection_settings import DataCollectionSettings +from aare.gui.panels.developer_help_dialog import DeveloperHelpDialog from aare.gui.panels.manual_sample_panel import ManualSamplePanel from aare.gui.panels.reference_tools_panel import ReferenceToolsPanel from aare.gui.panels.sample_queue_panel import SampleQueuePanel @@ -59,6 +60,8 @@ class MainWindow(QMainWindow): self.__base_url = base_url self.__token = token self.__mounting = False + self._dev_help_dialog = None + # Tutorial manager (define tutorials after widgets exist) self.tutorial_manager = TutorialManager(self) @@ -460,6 +463,10 @@ class MainWindow(QMainWindow): about_action.triggered.connect(self.show_about_dialog) help_menu.addAction(about_action) + dev_help_action = QAction("Developer / Help", self) + dev_help_action.triggered.connect(self.show_developer_help) + help_menu.addAction(dev_help_action) + help_menu.addSeparator() start_text_tutorial_action = QAction("Start Tutorial (Text)", self) @@ -476,6 +483,17 @@ class MainWindow(QMainWindow): "About", "Aare Macromolecular Crystallography GUI\nVersion: 1.0\nCopyright: Paul Scherrer Institute 2024-2025", ) + def show_developer_help(self) -> None: + if self._dev_help_dialog is None: + self._dev_help_dialog = DeveloperHelpDialog( + daq=self.daq, + is_staff=bool(getattr(self.__decoded_token, "staff", False)), + parent=self, + ) + self._dev_help_dialog.refresh() + self._dev_help_dialog.show() + self._dev_help_dialog.raise_() + self._dev_help_dialog.activateWindow() @Slot(str) def show_sample_missing_dialog(self, msg: str): From b975b16b2b27ee742e10456aa65d1a9cfdf8053a Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 26 Feb 2026 17:20:02 +0100 Subject: [PATCH 109/144] DAQ: further rework, WIP --- src/aare/daq/daq.py | 206 ++++++++++++++++++-------------------------- 1 file changed, 84 insertions(+), 122 deletions(-) diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index 8a806337..e6752483 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -1,6 +1,7 @@ import secrets import time +import traceback from datetime import datetime from math import ceil @@ -46,61 +47,6 @@ from aare.common.exception_handler import ( logger = setup_logger("aareDAQ") -class TransformationInvalidException(Exception): - def __init__(self, message="Transformation is not implemented"): - super().__init__(message) - self.message = message - logger.error(f"{message}", extra={"exception:" : Exception}) - - def __str__(self): - return self.message - - -class LoopCenteringFailed(Exception): - def __init__(self, message="Loop Centering did not detect a sample"): - super().__init__(message) - self.message = message - logger.error(f"{message}", extra={"exception:" : Exception}) - - def __str__(self): - return self.message - -class MountingFailed(Exception): - def __init__(self, message="A sample was not mounted"): - super().__init__(message) - self.message = message - logger.error(f"{message}", extra={"exception:" : Exception}) - - def __str__(self): - return self.message - -class WarningTellException(Exception): - def __init__(self, message="Warning error in TELL"): - super().__init__(message) - self.message = message - logger.error(f"{message}", extra={"exception:": Exception}) - - def __str__(self): - return self.message - -class CriticalTellException(Exception): - def __init__(self, message="Critical error in TELL"): - super().__init__(message) - self.message = message - logger.error(f"{message}", extra={"exception:": Exception}) - - def __str__(self): - return self.message - -class AXCFailed(Exception): - def __init__(self, message="Auto X-ray centering failed"): - super().__init__(message) - self.message = message - logger.error(f"{message}", extra={"exception:": Exception}) - - def __str__(self): - return self.message - class AareDAQ: MIN_SPOTS_LOW_RES_THRESHOLD = 10.0 @@ -109,7 +55,7 @@ class AareDAQ: self.last_time = 0.0 self.__cfg = cfg self.__devs = BeamlineDevices(bl) - self.__mlbox = MlBox() + self.__mlbox = MlBox(bl) self.__jfjoch = JFJochWrapper(bl) self.__bl = bl.value.upper() self.__aare = AareWrapper(bl) @@ -278,9 +224,12 @@ class AareDAQ: @property def sample(self) -> SampleShortInfo | None: + #TODO figure out why this works and what it should be if self.__cfg.current_sample is not None and self.__cfg.current_sample.location is None: return self.__cfg.current_sample - return None + if self.__devs.tell.get_mounted_sample() is None: + return None + return self.__cfg.current_sample @property def samcam_settings(self) -> SampleCameraSettings: @@ -304,18 +253,14 @@ class AareDAQ: def save_abr_meas_pos(self): self.__cfg.set_busy(BeamlineStateEnum.SampleAlignment) - print('Set busy in save_abr_meas_pos') try: - print('Set abr measure pos in save_abr_meas_pos') self.__cfg.abr_meas_pos = self.__devs.aerotech_pos - print('busy should be set to false now') self.__cfg.state_busy = False except: self.__cfg.state_busy = False raise def goto_abr_meas_pos(self): - print('why are we here') self.__cfg.set_busy(BeamlineStateEnum.SampleAlignment) try: self.__devs.aerotech_pos = self.__cfg.abr_meas_pos @@ -350,8 +295,8 @@ class AareDAQ: self.__devs.aerotech_omega = ABR_OMEGA_MOUNT #collimator should be down!!! self.__devs.tell.check_enable_motion() - self.__devs.tell.wait_mount_complete() - #self.__devs.tell.set_in_mount_position(True) + self.__devs.tell.wait_not_busy() + self.__devs.tell.set_in_mount_position(True) if target is None: self.__devs.tell.unmount(wait=True, timeout=60.0) else: @@ -375,13 +320,18 @@ class AareDAQ: logger.debug(target) self.__mount(target) logger.info(f"Sample mounted: {target}") - self.__aare.sample_mounted(target) except Exception as e: self.__cfg.state_busy = False logger.debug(f"Failed to mount sample: {e}") + self.__aare.sample_failed(target, f"Mount failed due to {e}") raise e workflows.rse2sa(devs=self.__devs, cfg=self.__cfg) self.__cfg.state_busy = False + if target is not None: + if target.db_id is not None: + self.__aare.sample_mounted(target) + self.save_screenshot_db(target.db_id, "mounted") + @property def camera_image(self) -> np.ndarray | None: @@ -1011,21 +961,21 @@ class AareDAQ: zoom_settings = self.__cfg.zoom_settings.z for zoom_iter, zoom_value in enumerate(zoom_settings): - exposure = zoom_settings[zoom_value].exposure - gain = zoom_settings[zoom_value].gain + #exposure = zoom_settings[zoom_value].exposure + #gain = zoom_settings[zoom_value].gain max_attempt = 2 attempt = 0 base_angles = (0, 45, 90) if (zoom_iter % 2 == 0) else (90, 45, 0) if sample_id is not None: + logger.info(f"submitting to db loop center sequence for sample {sample_id}, zoom={zoom_value}") self.save_screenshot_db(sample_id, f"pre_alc") while attempt < max_attempt: - self.__devs.samcam_settings = SampleCameraSettings(exposure=exposure, gain=gain) - exp = int(exposure * 1000) - gn = int(gain) - self.__devs.set_zoom(zoom_value, wait=True) - logger.debug(f'zoom={zoom_value},gain={gn}, exp={exp}ms') + #self.__devs.samcam_settings = SampleCameraSettings(exposure=exposure, gain=gain) + #exp = int(exposure * 1000) + #gn = int(gain) + self.zoom = zoom_value found_flag = False found_angle: int | None = None @@ -1037,7 +987,7 @@ class AareDAQ: self.__devs.aerotech_omega = angle logger.info(f"time to move: {time.perf_counter()-time_to_move_aerotech}") - filename = f"{sample_id}_{angle}_{zoom_value:.0f}_{exp}_{gn}" if sample_id is not None else None + filename = f"{sample_id}_{angle}_{zoom_value:.0f}" if sample_id is not None else None try: target, cls, classes = self.__ml_loop_centre_box(sample_id, filename) @@ -1064,6 +1014,8 @@ class AareDAQ: self.__devs.smargon_pos = target self.__devs.smargon_wait(60) logger.info(f"time to move smargon: {time.perf_counter() - time_to_move_smargon}") + if sample_id is not None: + self.save_screenshot_db(sample_id, f"{sample_id}_{angle}_{zoom_value:.0f}") if targets_found_this_attempt == 0: logger.error(f"No targets found in this attempt {attempt}") @@ -1087,6 +1039,7 @@ class AareDAQ: logger.debug("alc success") self.__aare.sample_centered(self.__cfg.current_sample) if sample_id is not None: + logger.info(f"sample {sample_id} centered") self.save_screenshot_db(sample_id, f"{sample_id}_centered") return True @@ -1111,25 +1064,29 @@ class AareDAQ: f"Loop_face: {found_classes_count.get(3,0)}, " f"Loop_all: {found_classes_count.get(0,0)}, " f"Pin: {found_classes_count.get(1,0)}") - logger.info(f"Error in loop centering: {e}") + logger.error(traceback.format_exc()) + + logger.error(f"Error in loop centering: {e}") return False def auto_loop_center(self, sample_id: int | None = None) -> float: start = time.perf_counter() try: self.__cfg.try_set_busy(timeout=360) + if sample_id is None: + sample_id = self.__cfg.current_sample.db_id if not self.__loop_center_sequence(sample_id): raise LoopCenteringFailed self.__cfg.state_busy = False except Exception: self.__cfg.zoom_mode = ZoomModeEnum.User - self.__devs.samcam_settings = self.__cfg.zoom_settings.get_camera_settings(self.zoom) + #self.__devs.samcam_settings = self.__cfg.zoom_settings.get_camera_settings(self.zoom) self.__cfg.state_busy = False raise self.__cfg.zoom_mode = ZoomModeEnum.User - self.__devs.samcam_settings = self.__cfg.zoom_settings.get_camera_settings(self.zoom) + #self.__devs.samcam_settings = self.__cfg.zoom_settings.get_camera_settings(self.zoom) end = time.perf_counter() return end - start @@ -1252,7 +1209,12 @@ class AareDAQ: start_mount=time.perf_counter() logger.info(f"starting mount {sample.db_id} at {time.ctime()}") self.__mount(sample) + if sample.db_id is not None: + self.__aare.sample_mounted(sample) + self.save_screenshot_db(sample.db_id, "mounted") logger.info(f"mounting done at {time.perf_counter() - start_mount}, total time: {time.perf_counter() - start}") + #self.__devs.smargon_pos + #self.__devs.aerotech_pos = alc_time = time.perf_counter() - start logger.info(f"starting alc at {alc_time}") if not self.__loop_center_sequence(sample.db_id): @@ -1265,46 +1227,46 @@ class AareDAQ: logger.info(f"alc done at {time.perf_counter() - start}") self.__face_detection_sequence() logger.info(f"face_detection done at {time.perf_counter() - start}") - self.zoom = 500 + #self.zoom = 500 hex_string = secrets.token_hex(3) # 3 bytes = 6 hex characters print(hex_string.upper()) - raster_params = self.get_auto_raster_params() - if self.__auto_center(RasterGridRequest( - exp_time_s=raster_params.exp_time_s, - file_prefix=sample_prefix + f"_{hex_string}", - smargon_top_left= SmargonCoordinate(), - n_x=1, - n_y=1, - dtz=raster_params.dtz, - grid_size_mm=Coordinate(x=geom.beam_size_mm.x * 0.5, y=geom.beam_size_mm.y * 0.5), - omega_deg=self.omega, - transmission = raster_params.transmission, - )): - logger.info(f"raster scans done at {time.perf_counter() - start}") - params, source = self.get_collection_params(prefer_smart=False) - logger.info(f"Using {source} for data collection: {params}") - - self.__cfg.zoom_mode = ZoomModeEnum.User - self.__devs.samcam_settings = self.__cfg.zoom_settings.get_camera_settings(self.zoom) - self.__devs.dtz = params.dtz - if self.omega + 180 < 720: - start_omega = self.omega - else: - start_omega = params.start_omega_deg - self.__rotation( RotationScanRequest(start_omega_deg=start_omega, - dtz=params.dtz, - file_prefix="data/" + sample_prefix + f"_{hex_string}", - exp_time_s=params.exp_time_s, - incr_omega_deg=params.incr_omega_deg, - steps=params.steps, - transmission=params.transmission, - )) - logger.info(f"rotation done at {time.perf_counter() - start}") - else: - logger.error("auto center failed") - self.__aare.axc_failed(sample) + # raster_params = self.get_auto_raster_params() + # if self.__auto_center(RasterGridRequest( + # exp_time_s=raster_params.exp_time_s, + # file_prefix=sample_prefix + f"_{hex_string}", + # smargon_top_left= SmargonCoordinate(), + # n_x=1, + # n_y=1, + # dtz=raster_params.dtz, + # grid_size_mm=Coordinate(x=geom.beam_size_mm.x * 0.5, y=geom.beam_size_mm.y * 0.5), + # omega_deg=self.omega, + # transmission = raster_params.transmission, + # )): + # logger.info(f"raster scans done at {time.perf_counter() - start}") + # params, source = self.get_collection_params(prefer_smart=False) + # logger.info(f"Using {source} for data collection: {params}") + # + # self.__cfg.zoom_mode = ZoomModeEnum.User + # self.__devs.samcam_settings = self.__cfg.zoom_settings.get_camera_settings(self.zoom) + # self.__devs.dtz = params.dtz + # if self.omega + 180 < 720: + # start_omega = self.omega + # else: + # start_omega = params.start_omega_deg + # # self.__rotation( RotationScanRequest(start_omega_deg=start_omega, + # # dtz=params.dtz, + # # file_prefix="data/" + sample_prefix + f"_{hex_string}", + # # exp_time_s=params.exp_time_s, + # # incr_omega_deg=params.incr_omega_deg, + # # steps=params.steps, + # # transmission=params.transmission, + # # )) + # logger.info(f"rotation done at {time.perf_counter() - start}") + # else: + # logger.error("auto center failed") + # self.__aare.axc_failed(sample) self.zoom = 1 self.__cfg.zoom_mode = ZoomModeEnum.User self.__devs.samcam_settings = self.__cfg.zoom_settings.get_camera_settings(self.zoom) @@ -1324,17 +1286,17 @@ class AareDAQ: return end - start def __set_state(self, target: BeamlineStateEnum): - # __set_state assumes that beamline is already in busy state - # it will apply a proper transformation and change state afterward - # specifically: - # 1. If target state is maintenance, just go there - # 2. If target state is same as current, nothing will happen - # 3. If target state cannot be reached, exception is raised and current state is kept - # 4. If exception is raised during transformation, state is set to maintenance - # 5. If transformation goes OK, target state is set - # - # Busy state will be cleared only, if exception is raised. - # + """__set_state assumes that beamline is already in busy state + it will apply a proper transformation and change state afterward + specifically: + 1. If target state is maintenance, just go there + 2. If target state is same as current, nothing will happen + 3. If target state cannot be reached, exception is raised and current state is kept + 4. If exception is raised during transformation, state is set to maintenance + 5. If transformation goes OK, target state is set + + Busy state will be cleared only, if exception is raised. """ + curr_state = self.__cfg.state if not self.__cfg.state_busy: From 2cbc049f2fe82dd1696f21af421515bc5295c9b7 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Thu, 26 Feb 2026 17:20:23 +0100 Subject: [PATCH 110/144] GUI: corrected default zmq stream to use the ML box. --- src/aare/gui/gui.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aare/gui/gui.py b/src/aare/gui/gui.py index 1bbe1534..f3532841 100644 --- a/src/aare/gui/gui.py +++ b/src/aare/gui/gui.py @@ -37,7 +37,7 @@ if __name__ == "__main__": default_gonio_camera_id = 3 case MXBeamline.X10SA: default_url = "http://127.0.0.1:5210" - default_zmq_addr = "tcp://x10sa-pserv-01:9089" + default_zmq_addr = "tcp://x10sa-spark-01:9091" #"tcp://x10sa-pserv-01:9089" default_pred_zmq_addr = "tcp://x10sa-spark-01:9091" default_beamline_cam_addr = "axis-accc8eb02488.psi.ch" default_gonio_cam_addr = "axis-accc8ea5e463.psi.ch" From 0375b121ce323930d7cf195f20b61c7f32a1dea5 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 27 Feb 2026 16:23:32 +0100 Subject: [PATCH 111/144] TellClient: error handling and proxy if conenction fails on start up --- src/aare/devices/tell_client.py | 90 ++++++++++++++++++++++++++++++--- 1 file changed, 84 insertions(+), 6 deletions(-) diff --git a/src/aare/devices/tell_client.py b/src/aare/devices/tell_client.py index a71148a7..7fba4141 100755 --- a/src/aare/devices/tell_client.py +++ b/src/aare/devices/tell_client.py @@ -7,6 +7,7 @@ from urllib.parse import urlparse import requests +from aare.common.exception_handler import TellCommunicationError from aare.common.logger_config import setup_logger from aare.common.models import ( PuckLoadedInfo, @@ -84,12 +85,23 @@ class TellClient: hostname = urlparse(self.__url).hostname try: requests.get(f"{self.__url}/history/0", timeout=1.0) - except ConnectionError: + except requests.exceptions.RequestException as e: print(f"...connection to {hostname} failed") - raise - except requests.ReadTimeout: + raise TellCommunicationError( + f"TELL connection failed ({hostname})", + base_url=self.__url, + endpoint="history/0", + operation="GET", + ) from e + except requests.ReadTimeout as e: print(f"...PShell service {hostname} is down") - raise + raise TellCommunicationError( + f"TELL connection timedout ({hostname})", + base_url=self.__url, + endpoint="history/0", + operation="GET", + ) from e + self.pshell = PShellClient(self.__url) self._aborted = False @@ -568,7 +580,73 @@ class SimTellClient: segment, puck, sample = match.groups() return SampleDewarAddress(puck=DewarAddress(segment=segment, pos=int(puck)), pin=int(sample)) -def make_tell_client(bl: MXBeamline) -> TellClient | SimTellClient: +class TellClientProxy: + """ + Lazy-connecting Tell client proxy that retries periodically. + - Server can start even if TELL is down. + - First use triggers connect; failures raise TellCommunicationError. + """ + def __init__(self, bl: MXBeamline, *, retry_interval_s: float = 2.0): + self._bl = bl + self._client: TellClient | None = None + self._retry_interval_s = float(retry_interval_s) + self._last_attempt_ts = 0.0 + self._last_error: Exception | None = None + + def _get_client(self) -> TellClient: + if self._client is not None: + return self._client + + now = time.monotonic() + if now - self._last_attempt_ts < self._retry_interval_s and self._last_error is not None: + raise self._last_error + + self._last_attempt_ts = now + try: + self._client = TellClient(self._bl) + self._last_error = None + return self._client + except TellCommunicationError as e: + self._last_error = e + raise + except Exception as e: + wrapped = TellCommunicationError( + "TELL connection failed", + operation="CONNECT", + ) + self._last_error = wrapped + raise wrapped from e + + @property + def url(self): + return self._get_client().url + + # Delegate methods used by DAQ; add more as needed + def get_mounted_sample(self) -> SampleDewarAddress | None: + return self._get_client().get_mounted_sample() + + def get_state(self): + return self._get_client().get_state() + + def wait_not_busy(self, timeout: float = 360.0): + return self._get_client().wait_not_busy(timeout=timeout) + + def check_enable_motion(self): + return self._get_client().check_enable_motion() + + def set_in_mount_position(self, value): + return self._get_client().set_in_mount_position(value) + + def mount(self, *args, **kwargs): + return self._get_client().mount(*args, **kwargs) + + def unmount(self, *args, **kwargs): + return self._get_client().unmount(*args, **kwargs) + + def abort_cmd(self): + return self._get_client().abort_cmd() + +def make_tell_client(bl: MXBeamline) -> TellClient | SimTellClient | TellClientProxy: if bl == MXBeamline.SIMULATED: return SimTellClient() - return TellClient(bl) \ No newline at end of file + return TellClientProxy(bl, retry_interval_s=2.0) \ No newline at end of file From 02f2eead579c9707025a0fde10535515f90ea631 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 27 Feb 2026 16:23:53 +0100 Subject: [PATCH 112/144] Smargon": better handling of smargon connection exceptions --- src/aare/devices/smargon.py | 56 +++++++++++++++++++++++++++++++------ 1 file changed, 48 insertions(+), 8 deletions(-) diff --git a/src/aare/devices/smargon.py b/src/aare/devices/smargon.py index adb99f4c..58b2c5a4 100644 --- a/src/aare/devices/smargon.py +++ b/src/aare/devices/smargon.py @@ -5,6 +5,7 @@ import requests from aare.common.beamline import MXBeamline from aare.common.coordinate import SmargonCoordinate, Coordinate, AerotechCoordinate +from aare.common.exception_handler import SmargonCommunicationError class SmargonMode(Enum): @@ -35,21 +36,60 @@ class Smargon(object): raise Exception("unknown beamline") def gonget(self, thing: str) -> dict: - """issue a GET for some API component on the smargopolo server""" + """issue a GET for some API component on the smargopolo server + short hand for goniometer get""" cmd = f"{self.__base}/{thing}" - r = requests.get(cmd) + try: + r = requests.get(cmd, timeout=2.0) + except requests.exceptions.RequestException as e: + raise SmargonCommunicationError( + f"Smargon GET failed for '{thing}'", + endpoint=thing, + base_url=self.__base, + operation="GET", + ) from e + if not r.ok: - raise Exception( - f"error getting {thing}; server returned {r.status_code} => {r.reason}" + raise SmargonCommunicationError( + f"Smargon GET returned HTTP {r.status_code} for '{thing}': {r.reason}", + endpoint=thing, + base_url=self.__base, + operation="GET", + status_code=r.status_code, ) - return r.json() + + try: + return r.json() + except ValueError as e: + raise SmargonCommunicationError( + f"Smargon GET returned invalid JSON for '{thing}'", + endpoint=thing, + base_url=self.__base, + operation="GET", + status_code=r.status_code, + ) from e def gonput(self, thing: str): + """issue a PUT command for some API component on the smargopolo server + short hand for goniometer put""" cmd = f"{self.__base}/{thing}" - r = requests.put(cmd) + try: + r = requests.put(cmd, timeout=2.0) + except requests.exceptions.RequestException as e: + raise SmargonCommunicationError( + f"Smargon PUT failed for '{thing}'", + endpoint=thing, + base_url=self.__base, + operation="PUT", + ) from e + if not r.ok: - raise Exception( - f"error putting {thing}; server returned {r.status_code} => {r.reason}" + raise SmargonCommunicationError( + f"Smargon PUT returned HTTP {r.status_code} for '{thing}': {r.reason}", + endpoint=thing, + base_url=self.__base, + operation="PUT", + status_code=r.status_code, ) def move_home(self, wait=False) -> None: From c54d3c1f1e6e32db6b17d57f0da1f52996e6465e Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 27 Feb 2026 16:24:21 +0100 Subject: [PATCH 113/144] Exceptions: added handling for tellcommunication and smargon communication errors --- src/aare/common/exception_handler.py | 75 +++++++++++++++++++++++- src/aare/daq/server_exception_handler.py | 33 ++++++++++- 2 files changed, 105 insertions(+), 3 deletions(-) diff --git a/src/aare/common/exception_handler.py b/src/aare/common/exception_handler.py index 340b14eb..7098c362 100644 --- a/src/aare/common/exception_handler.py +++ b/src/aare/common/exception_handler.py @@ -1,7 +1,7 @@ from __future__ import annotations from aare.common.logger_config import setup_logger -from aare.common.error_codes import AuthErrorCode +from aare.common.error_codes import AuthErrorCode, DAQErrorCode logger = setup_logger("aareDAQ") @@ -64,6 +64,7 @@ class AXCFailed(Exception): def __str__(self) -> str: return self.message + class BeamlineBusyException(Exception): def __init__(self, message: str = "Beamline is in busy state"): super().__init__(message) @@ -73,6 +74,7 @@ class BeamlineBusyException(Exception): def __str__(self) -> str: return self.message + class SampleException(Exception): def __init__(self, message: str = "Sample not found"): super().__init__(message) @@ -82,6 +84,7 @@ class SampleException(Exception): def __str__(self) -> str: return self.message + class AuthenticationException(Exception): def __init__(self, message: str = "Authentication failed.", @@ -99,6 +102,7 @@ class AuthenticationException(Exception): def __str__(self) -> str: return self.message + class UserRightsException(Exception): def __init__(self, message: str = "User does not have rights to perform this action.", @@ -113,5 +117,74 @@ class UserRightsException(Exception): self.code = code logger.error(message, extra={"exception:": Exception}) + def __str__(self) -> str: + return self.message + + +class SmargonCommunicationError(Exception): + """ + Raised when Smargon HTTP communication fails (connection refused, timeout, bad HTTP status, etc). + Keep the original exception in `__cause__` by using `raise ... from e`. + """ + + def __init__( + self, + message: str = "Smargon communication error", + *, + endpoint: str | None = None, + base_url: str | None = None, + operation: str | None = None, # e.g. "GET" / "PUT" + status_code: int | None = None, + ): + super().__init__(message) + self.message = message + self.endpoint = endpoint + self.base_url = base_url + self.operation = operation + self.status_code = status_code + logger.error( + message, + extra={ + "device": "smargon", + "operation": operation, + "endpoint": endpoint, + "base_url": base_url, + "status_code": status_code, + }, + ) + + def __str__(self) -> str: + return self.message + + +class TellCommunicationError(Exception): + """ + Raised when TELL HTTP/PShell communication fails (timeouts, connection refused, etc). + Intended to be caught centrally by FastAPI exception handlers. + """ + + def __init__( + self, + message: str = "TELL communication error", + *, + endpoint: str | None = None, + base_url: str | None = None, + operation: str | None = None, # e.g. "GET" + ): + super().__init__(message) + self.message = message + self.endpoint = endpoint + self.base_url = base_url + self.operation = operation + logger.error( + message, + extra={ + "device": "tell", + "operation": operation, + "endpoint": endpoint, + "base_url": base_url, + }, + ) + def __str__(self) -> str: return self.message \ No newline at end of file diff --git a/src/aare/daq/server_exception_handler.py b/src/aare/daq/server_exception_handler.py index edff28cd..530864db 100644 --- a/src/aare/daq/server_exception_handler.py +++ b/src/aare/daq/server_exception_handler.py @@ -16,7 +16,8 @@ from aare.common.exception_handler import ( BeamlineBusyException, AuthenticationException, SampleException, - UserRightsException + UserRightsException, + SmargonCommunicationError, TellCommunicationError ) logger = setup_logger("aareDAQ") @@ -116,10 +117,38 @@ def register_exception_handlers(app) -> None: content=_error_payload(code="SAMPLE_NOT_FOUND", message=str(exc) or "Sample not found"), ) + @app.exception_handler(SmargonCommunicationError) + async def smargon_comm_handler(request: Request, exc: SmargonCommunicationError) -> JSONResponse: + return JSONResponse( + status_code=api_status.HTTP_503_SERVICE_UNAVAILABLE, + content=_error_payload( + code="SMARGON_UNAVAILABLE", + message=str(exc) or "Smargon is unavailable", + extra={ + "operation": getattr(exc, "operation", None), + "endpoint": getattr(exc, "endpoint", None), + }, + ), + ) + + @app.exception_handler(TellCommunicationError) + async def tell_comm_handler(request: Request, exc: TellCommunicationError) -> JSONResponse: + return JSONResponse( + status_code=api_status.HTTP_503_SERVICE_UNAVAILABLE, + content=_error_payload( + code="TELL_UNAVAILABLE", + message=str(exc) or "TELL is unavailable", + extra={ + "operation": getattr(exc, "operation", None), + "endpoint": getattr(exc, "endpoint", None), + }, + ), + ) + @app.exception_handler(Exception) async def unhandled_exception_handler(request: Request, exc: Exception) -> JSONResponse: logger.exception("Unhandled server exception") return JSONResponse( status_code=api_status.HTTP_500_INTERNAL_SERVER_ERROR, - content=_error_payload(code="INTERNAL_SERVER_ERROR", message="Internal server error"), + content=_error_payload(code="INTERNAL_SERVER_ERROR", message=str(exc) or "Internal server error"), ) From 3fcd084b21cbca4ccce2a3caed2b33e4f7f203cb Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 27 Feb 2026 16:24:54 +0100 Subject: [PATCH 114/144] Dev_help: trying to add logs to deve_help panel and extend to different error codes --- src/aare/gui/panels/developer_help_dialog.py | 121 ++++++++++++++++++- 1 file changed, 117 insertions(+), 4 deletions(-) diff --git a/src/aare/gui/panels/developer_help_dialog.py b/src/aare/gui/panels/developer_help_dialog.py index 023ffad5..dcc7bfd1 100644 --- a/src/aare/gui/panels/developer_help_dialog.py +++ b/src/aare/gui/panels/developer_help_dialog.py @@ -1,10 +1,11 @@ from __future__ import annotations import json +import logging from typing import Dict -from PySide6.QtCore import Qt, Slot -from PySide6.QtGui import QGuiApplication +from PySide6.QtCore import Qt, Slot, QUrl +from PySide6.QtGui import QGuiApplication, QDesktopServices from PySide6.QtWidgets import ( QDialog, QVBoxLayout, @@ -24,6 +25,7 @@ from PySide6.QtWidgets import ( ) from aare.common.error_codes import error_code_help +from aare.common.logger_config import QtLogEmitter, QtLogHandler, find_existing_formatter, attach_to_logger from aare.gui.threads.daq_worker import DAQWorker @@ -110,6 +112,17 @@ class DeveloperHelpDialog(QDialog): self._copy_payload_btn.clicked.connect(self._copy_payload) top.addWidget(self._copy_payload_btn) + # Staff utilities: open log files + self._open_gui_log_btn = QPushButton("Open GUI log", self) + self._open_gui_log_btn.setVisible(self._is_staff) + self._open_gui_log_btn.clicked.connect(lambda: self._open_log_file_for_logger("aareGUI")) + top.addWidget(self._open_gui_log_btn) + + self._open_daq_log_btn = QPushButton("Open DAQ log", self) + self._open_daq_log_btn.setVisible(self._is_staff) + self._open_daq_log_btn.clicked.connect(lambda: self._open_log_file_for_logger("aareDAQ")) + top.addWidget(self._open_daq_log_btn) + # Tabs self._tabs = QTabWidget(self) root.addWidget(self._tabs, 1) @@ -125,7 +138,6 @@ class DeveloperHelpDialog(QDialog): self._codes_table.itemSelectionChanged.connect(self._update_code_details) self._codes_table.horizontalHeader().setStretchLastSection(True) - # Details panel (pretty form layout) self._details_frame = QFrame(self) self._details_frame.setFrameShape(QFrame.Shape.StyledPanel) self._details_frame.setStyleSheet( @@ -183,7 +195,12 @@ class DeveloperHelpDialog(QDialog): self._tabs.addTab(codes_container, "Error codes") - # Tab: last error payload (staff only) + # Tab: last error payload (staff only) + summary header + self._payload_summary = QLabel(self) + self._payload_summary.setVisible(self._is_staff) + self._payload_summary.setWordWrap(True) + self._payload_summary.setTextInteractionFlags(Qt.TextInteractionFlag.TextSelectableByMouse) + self._payload_text = QTextEdit(self) self._payload_text.setReadOnly(True) self._payload_text.setLineWrapMode(QTextEdit.LineWrapMode.NoWrap) @@ -192,11 +209,48 @@ class DeveloperHelpDialog(QDialog): payload_container = QWidget(self) payload_layout = QVBoxLayout(payload_container) payload_layout.setContentsMargins(0, 0, 0, 0) + payload_layout.addWidget(self._payload_summary, 0) payload_layout.addWidget(self._payload_text, 1) self._tabs.addTab(payload_container, "Last error payload") else: self._payload_text.setPlainText("Hidden (staff only).") + # Tab: recent payloads (staff only) + self._payloads_text = QTextEdit(self) + self._payloads_text.setReadOnly(True) + self._payloads_text.setLineWrapMode(QTextEdit.LineWrapMode.NoWrap) + if self._is_staff: + payloads_container = QWidget(self) + payloads_layout = QVBoxLayout(payloads_container) + payloads_layout.setContentsMargins(0, 0, 0, 0) + payloads_layout.addWidget(self._payloads_text, 1) + self._tabs.addTab(payloads_container, "Recent payloads") + + # Tab: tracebacks (staff only) + self._tracebacks_text = QTextEdit(self) + self._tracebacks_text.setReadOnly(True) + self._tracebacks_text.setLineWrapMode(QTextEdit.LineWrapMode.NoWrap) + self._tracebacks_text.setPlainText("Tracebacks will appear here (last 10).") + + if self._is_staff: + tb_container = QWidget(self) + tb_layout = QVBoxLayout(tb_container) + tb_layout.setContentsMargins(0, 0, 0, 0) + tb_layout.addWidget(self._tracebacks_text, 1) + self._tabs.addTab(tb_container, "Tracebacks") + + # Tab: error log (staff only) – live view from python logging + self._error_log_text = QTextEdit(self) + self._error_log_text.setReadOnly(True) + self._error_log_text.setLineWrapMode(QTextEdit.LineWrapMode.NoWrap) + if self._is_staff: + log_container = QWidget(self) + log_layout = QVBoxLayout(log_container) + log_layout.setContentsMargins(0, 0, 0, 0) + log_layout.addWidget(self._error_log_text, 1) + self._tabs.addTab(log_container, "Error log") + + # Bottom button box buttons = QDialogButtonBox(QDialogButtonBox.StandardButton.Close, parent=self) buttons.rejected.connect(self.reject) @@ -206,10 +260,40 @@ class DeveloperHelpDialog(QDialog): # Wire signals self._daq.error_codes_loaded.connect(self.set_error_codes) self._daq.last_error_payload_changed.connect(self.set_last_error_payload) + self._daq.last_error_payloads_changed.connect(self.set_last_error_payloads) + + # Hook a Qt logging handler to show ERROR+ messages in the dialog + if self._is_staff: + self._qt_log_emitter = QtLogEmitter() + self._qt_log_emitter.message.connect(self._append_error_log_line) + + self._qt_log_handler = QtLogHandler(self._qt_log_emitter) + self._qt_log_handler.setLevel(logging.ERROR) + self._qt_log_handler.setFormatter(find_existing_formatter()) + + attach_to_logger("aareGUI", self._qt_log_handler) + attach_to_logger("aareDAQ", self._qt_log_handler) self._update_banner() self._update_code_details() + def _open_log_file_for_logger(self, logger_name: str) -> None: + """ + Opens the first FileHandler path attached to the given logger name. + """ + log = logging.getLogger(logger_name) + paths: list[str] = [] + for h in getattr(log, "handlers", []) or []: + p = getattr(h, "baseFilename", None) + if p and isinstance(p, str): + paths.append(p) + + if not paths: + self._banner.setText(f"No file handler found for logger '{logger_name}'.") + return + + QDesktopServices.openUrl(QUrl.fromLocalFile(paths[0])) + @Slot(bool) def _set_freeze_payload(self, enabled: bool) -> None: self._freeze_payload = bool(enabled) @@ -222,6 +306,8 @@ class DeveloperHelpDialog(QDialog): def refresh(self) -> None: self._daq.get_error_codes() self.set_last_error_payload(self._daq.get_last_error_payload()) + if self._is_staff: + self.set_last_error_payloads(self._daq.get_last_error_payloads()) @Slot(dict) def set_error_codes(self, codes: dict) -> None: @@ -238,9 +324,36 @@ class DeveloperHelpDialog(QDialog): self._last_payload = payload or {} pretty = json.dumps(self._last_payload, indent=2, sort_keys=True, default=str) self._payload_text.setPlainText(pretty) + + code, msg = self._extract_code_message() + url = str((self._last_payload or {}).get("url") or "") + status = (self._last_payload or {}).get("http_status") + self._payload_summary.setText( + f"URL: {url}\nHTTP: {status}\nCode: {code or '-'}\nMessage: {msg or '-'}" + ) + self._update_banner() self._select_code_from_last_error() + @Slot(list) + def set_last_error_payloads(self, payloads: list) -> None: + if not self._is_staff: + return + blocks: list[str] = [] + for i, p in enumerate(payloads[-10:], start=max(1, len(payloads) - 9)): + try: + pretty = json.dumps(p or {}, indent=2, sort_keys=True, default=str) + except Exception: + pretty = str(p) + blocks.append(f"#{i}\n{pretty}") + self._payloads_text.setPlainText("\n\n".join(blocks) if blocks else "(none captured yet)") + + @Slot(str) + def _append_error_log_line(self, line: str) -> None: + if not self._is_staff: + return + self._error_log_text.append(line) + def _code_name_for_value(self, value: str) -> str | None: for k, v in self._codes.items(): if v == value: From 2fa0b2a6e661182575828099f32ef8fd4529021f Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 27 Feb 2026 16:26:01 +0100 Subject: [PATCH 115/144] DAQ/GUI: trying to make error handling in satatus pollign more robust. WIP --- src/aare/common/models.py | 6 ++ src/aare/daq/daq.py | 56 +++++++++++++++++- src/aare/daq/server.py | 10 +--- src/aare/gui/threads/daq_worker.py | 92 ++++++++++++++++++++++++------ 4 files changed, 137 insertions(+), 27 deletions(-) diff --git a/src/aare/common/models.py b/src/aare/common/models.py index 892f48bf..27955d96 100644 --- a/src/aare/common/models.py +++ b/src/aare/common/models.py @@ -719,6 +719,12 @@ class DAQStatusModel(BaseModel): last_best_b_factor: float | None = None crystal_size: CrystalSize = CrystalSize(x=0,y=0,z=0) + tell_connected: bool = True + tell_error: str | None = None + + smargon_connected: bool = True + smargon_error: str | None = None + class BeamlineSettingsModel(BaseModel): dtz_max: float | None = 1600.0 dtz_min: float | None = 120.0 diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index e6752483..a30e7b44 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -42,7 +42,7 @@ from aare.common.exception_handler import ( MountingFailed, WarningTellException, CriticalTellException, - AXCFailed, + AXCFailed, SmargonCommunicationError, TellCommunicationError, ) logger = setup_logger("aareDAQ") @@ -1418,8 +1418,62 @@ class AareDAQ: dtz_max=1000, ) + def _safe_sample(self) -> tuple[SampleShortInfo | None, bool, str | None]: + """ + Return (sample, tell_connected, tell_error) without raising. + """ + try: + return self.sample, True, None + except TellCommunicationError as e: + return None, False, str(e) + except Exception as e: + # Keep status flowing even if Tell code throws something unexpected + return None, False, f"TELL unavailable: {e}" + + def _safe_geom(self) -> tuple[SampleGeometryModel, bool, str | None]: + """ + Return (geom, smargon_connected, smargon_error) without raising. + Uses a conservative fallback geometry if Smargon access fails. + """ + try: + return self.sample_geometry, True, None + except SmargonCommunicationError as e: + zoom = self.__devs.zoom + fallback = SampleGeometryModel( + beam_location_pxl=self.__cfg.beam_mark_coeff.apply(zoom), + pixel_in_mm=self.__cfg.pixel_to_mm(zoom), + omega_deg=self.__devs.aerotech_omega, + smargon=SmargonCoordinate( + sh_mm=Coordinate(x=0.0, y=0.0, z=0.0), + phi_deg=0.0, + chi_deg=0.0, + ), + beam_size_mm=self.__cfg.beam_size_mm, + aerotech=Coordinate(x=0.0, y=0.0, z=0.0), + aerotech_meas=Coordinate(x=0.0, y=0.0, z=0.0), + ) + return fallback, False, str(e) + except Exception as e: + zoom = self.__devs.zoom + fallback = SampleGeometryModel( + beam_location_pxl=self.__cfg.beam_mark_coeff.apply(zoom), + pixel_in_mm=self.__cfg.pixel_to_mm(zoom), + omega_deg=self.__devs.aerotech_omega, + smargon=SmargonCoordinate( + sh_mm=Coordinate(x=0.0, y=0.0, z=0.0), + phi_deg=0.0, + chi_deg=0.0, + ), + beam_size_mm=self.__cfg.beam_size_mm, + aerotech=Coordinate(x=0.0, y=0.0, z=0.0), + aerotech_meas=Coordinate(x=0.0, y=0.0, z=0.0), + ) + return fallback, False, f"Smargon unavailable: {e}" + @property def status(self) -> DAQStatusModel: + safe_sample, tell_ok, tell_err = self._safe_sample() + safe_geom, smargon_ok, smargon_err = self._safe_geom() # session should be set by FastAPI server return DAQStatusModel( state=self.state, diff --git a/src/aare/daq/server.py b/src/aare/daq/server.py index adbfd7bf..fbbb875c 100644 --- a/src/aare/daq/server.py +++ b/src/aare/daq/server.py @@ -55,19 +55,11 @@ async def login(form_data: OAuth2PasswordRequestForm = Depends()): return {"access_token": data, "token_type": "bearer"} @app.get("/meta/error-codes") -async def meta_error_codes() -> dict[str, str]: +async def meta_error_codes() -> dict[str, dict[str, str]]: """ Public, stable registry of machine-readable error codes. Useful for GUIs, tests, and diagnostics. """ - return export_error_codes() - -@app.get("/meta/error-codes/grouped") -async def meta_error_codes_grouped() -> dict[str, dict[str, str]]: - """ - Grouped registry of machine-readable error codes, by enum class. - Preferred for GUIs that want multiple code categories without collisions. - """ return export_error_codes_grouped() @app.get("/status") diff --git a/src/aare/gui/threads/daq_worker.py b/src/aare/gui/threads/daq_worker.py index c527a7fe..33ea2eca 100644 --- a/src/aare/gui/threads/daq_worker.py +++ b/src/aare/gui/threads/daq_worker.py @@ -2,6 +2,7 @@ import copy import random import time import json +from collections import deque from PySide6.QtCore import Signal, QUrl, Slot, QTimer, QObject, QByteArray from PySide6.QtNetwork import QNetworkAccessManager, QNetworkRequest, QNetworkReply @@ -26,6 +27,7 @@ class DAQWorker(QObject): spreadsheet = Signal(SampleShortInfoList) reference_tools = Signal(SampleShortInfoList) http_error = Signal(str) + status_message = Signal(str, bool) auth_error = Signal() sample_missing = Signal(str) automated_scan_done = Signal(int, bool, str) # sample ID, success @@ -40,6 +42,7 @@ class DAQWorker(QObject): error_codes_loaded = Signal(dict) last_error_payload_changed = Signal(dict) + last_error_payloads_changed = Signal(list) def __init__(self, base_url: str | None, token: str, parent=None): super().__init__(parent) @@ -56,17 +59,51 @@ class DAQWorker(QObject): self._auth_error_min_interval = 10.0 self._last_status_request_ts = 0.0 - self._status_request_min_interval = 10.0 + self._status_request_min_interval = 0.5 + self._smargon_retry_interval_s = 2.0 + self._smargon_log_min_interval_s = 10.0 + self._last_status_error = None + self._smargon_error_active = False + self._last_smargon_log_ts = 0.0 + self._last_smargon_log_key: str | None = None self._last_error_payload: dict = {} + self._last_error_payloads = deque(maxlen=10) + + self._last_tell_connected: bool | None = None + self._last_smargon_connected: bool | None = None def get_last_error_payload(self) -> dict: return dict(self._last_error_payload or {}) + def get_last_error_payloads(self) -> list[dict]: + return [dict(p or {}) for p in list(self._last_error_payloads)] + def _set_last_error_payload(self, payload: dict) -> None: - self._last_error_payload = payload or {} + payload = payload or {} + self._last_error_payload = payload + self._last_error_payloads.append(payload) + self.last_error_payload_changed.emit(self.get_last_error_payload()) + self.last_error_payloads_changed.emit(self.get_last_error_payloads()) + + def _log_smargon_throttled(self, *, endpoint: str | None, message: str) -> None: + """ + Log immediately if endpoint/message changed; otherwise at most every N seconds. + """ + key = f"{endpoint or ''}|{message or ''}" + now = time.monotonic() + + if self._last_smargon_log_key != key: + self._last_smargon_log_key = key + self._last_smargon_log_ts = now + logger.error(f"Smargon connection error (endpoint={endpoint}): {message}") + return + + if now - self._last_smargon_log_ts >= self._smargon_log_min_interval_s: + self._last_smargon_log_ts = now + logger.error(f"Smargon connection error (endpoint={endpoint}): {message}") @Slot() def regular_update(self): @@ -80,6 +117,11 @@ class DAQWorker(QObject): if self.__base_url is None: return + now = time.monotonic() + if now - self._last_status_request_ts < self._status_request_min_interval: + return + self._last_status_request_ts = now + request = QNetworkRequest(QUrl(f"{self.__base_url}/status")) request.setRawHeader(b"Authorization", f"Bearer {self.__token}".encode("utf-8")) reply = self.__net_manager.get(request) @@ -102,16 +144,31 @@ class DAQWorker(QObject): response_data = self.handle_response(reply) parsed_response = DAQStatusModel.model_validate_json(response_data) self.update.emit(parsed_response) + + tell_conn = bool(getattr(parsed_response, "tell_connected", True)) + smargon_conn = bool(getattr(parsed_response, "smargon_connected", True)) + + if self._last_tell_connected is None: + self._last_tell_connected = tell_conn + elif self._last_tell_connected != tell_conn: + self._last_tell_connected = tell_conn + if tell_conn: + self.status_message.emit("TELL connection restored.", False) + else: + self.status_message.emit("TELL connection error, please inform your local contact.", True) + + if self._last_smargon_connected is None: + self._last_smargon_connected = smargon_conn + elif self._last_smargon_connected != smargon_conn: + self._last_smargon_connected = smargon_conn + if smargon_conn: + self.status_message.emit("Smargon connection restored.", False) + else: + self.status_message.emit("Smargon connection error, please inform your local contact.", True) + except Exception as e: - now = time.monotonic() - if str(e) == str(self._last_status_error): - if now - self._last_auth_error_log_ts > self._auth_error_min_interval: - self._last_auth_error_log_ts = now - logger.error(f"Exception from status response: {e}") - else: - self._last_status_error = e - self._last_auth_error_log_ts = now - logger.error(f"Exception from status response: {e}") + # keep your existing throttled logging behavior here if you want + logger.error(f"Exception from status response: {e}") self.http_error.emit(str(e)) @Slot(QNetworkReply) @@ -719,24 +776,26 @@ class DAQWorker(QObject): out[str(k)] = str(v) return out + @Slot() @Slot() def get_error_codes(self) -> None: """ Fetch server error codes registry for developer/help UI. Emits error_codes_loaded(dict). + + Server default is grouped. We flatten grouped payloads for existing UI. """ if self.__base_url is None: self.error_codes_loaded.emit(export_error_codes()) return - # Prefer grouped (newer servers), but we'll gracefully fall back if missing. - request = QNetworkRequest(QUrl(f"{self.__base_url}/meta/error-codes/grouped")) + request = QNetworkRequest(QUrl(f"{self.__base_url}/meta/error-codes")) request.setRawHeader(b"Authorization", f"Bearer {self.__token}".encode("utf-8")) reply = self.__net_manager.get(request) reply.finished.connect(lambda: self._handle_error_codes_response(reply)) def _retry_error_codes_legacy(self) -> None: - request = QNetworkRequest(QUrl(f"{self.__base_url}/meta/error-codes")) + request = QNetworkRequest(QUrl(f"{self.__base_url}/meta/error-codes/flat")) request.setRawHeader(b"Authorization", f"Bearer {self.__token}".encode("utf-8")) reply = self.__net_manager.get(request) reply.finished.connect(lambda: self._handle_error_codes_response(reply)) @@ -746,15 +805,14 @@ class DAQWorker(QObject): try: status = reply.attribute(QNetworkRequest.Attribute.HttpStatusCodeAttribute) - # If the grouped endpoint isn't available on this server, fall back to legacy. try: url = reply.request().url().toString() except Exception: url = "" - if int(status) == 404 and url.endswith("/meta/error-codes/grouped"): + if int(status) == 404 and url.endswith("/meta/error-codes"): reply.deleteLater() - self._retry_error_codes_legacy() + logger.error(f"Error codes not found on server.") return payload = self.handle_response(reply) From 6e8a7af1f33648b0e6b5880bdb78198518fb1016 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 27 Feb 2026 16:26:25 +0100 Subject: [PATCH 116/144] GUI: changed sdisplay_error to display_status - allows messages like disconnected and connected to be parsed to the user --- src/aare/gui/main_window.py | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/src/aare/gui/main_window.py b/src/aare/gui/main_window.py index 6e66371f..a6b0204a 100644 --- a/src/aare/gui/main_window.py +++ b/src/aare/gui/main_window.py @@ -391,6 +391,8 @@ class MainWindow(QMainWindow): self.daq.fluorimeter_spectrum_update.connect(self.fluor_panel.update_plot) self.daq.fluorimeter_spectrum_update.connect(lambda: self.fluor_panel_dock.setVisible(True)) + self.daq.status_message.connect(self.display_status) + register_tutorials(self, self.tutorial_manager) def start_text_tutorial(self) -> None: @@ -522,9 +524,13 @@ class MainWindow(QMainWindow): self.video_tab.setCurrentIndex(0) @Slot(str) - def display_error(self, msg: str): - self.status_bar.setStyleSheet("color: red;") - self.status_bar.showMessage(f' {msg} ', 10000) + def display_status(self, msg: str, is_error: bool = True): + if is_error: + self.status_bar.setStyleSheet("color: red;") + self.status_bar.showMessage(f' {msg} ', 10000) + else: + self.status_bar.setStyleSheet("color: green;") + self.status_bar.showMessage(f' {msg} ', 10000) def cleanup(self): if self.camera_thread is not None: From 44cb250f736a116964ebd1cadc83c03c06348131 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 27 Feb 2026 16:28:50 +0100 Subject: [PATCH 117/144] Changelog: updated version history --- CHANGELOG.md | 28 ++++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) diff --git a/CHANGELOG.md b/CHANGELOG.md index d026006d..735b2dcf 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,6 +1,34 @@ # Changelog ## 0.3.0 - Merge three repos into one, remove Ultralytics as dependency +- **DAQ/Server**: + - Workflow assertions to ensure scintillator is down when possible. + - Improved aerotech movement and position calculations. + - Implementation of camera auto-exposure and zoom-dependent settings. + - Added SAS-TT school demo temporary raster function. + - Enhanced status polling with robust error handling for `Tell` and `Smargon` communication. + - `ml_box` updated with beamline-specific URLs and model class types. +- **GUI**: + - Major rework of `predict_subscriber` and prediction stream updates; corrected default ZMQ stream for ML box. + - Added FPS counter and sharpness monitoring for sample camera. + - Improved camera thread performance and authentication failure handling. + - Added X10SA specific camera and prediction configurations. + - New `display_status` for user-facing connection/error messages. + - Integrated `dev_help` panel with logs and error code search. + - Added framework for building GUI tutorials. +- **TELL**: + - Major refactor: removed redundant code and added simulated client. + - Converted wait functions to use inbuilt pshell functionality. + - Added error handling and proxy support for connection failures. +- **Common & Devices**: + - Added centralized `error_codes` and refactored exception handling to use FastAPI handlers. + - Expanded device support with new PVs (beamstop, scintillator, collimator, cryojet, etc.). + - Cleaned up `mx_lib` wait functions and `my_motor` class. + - Improved Smargon connection exception handling. +- **Infrastructure**: + - Updated dependencies (added `pshell`) and improved documentation autodeployment workflows. + - Refactored package structure and imports. + - Fixed `logger_config` file path expansion. ### 0.2.69 - check beamline state before running raster, rotation and automation From a977d7679170c00c6f03e2ad4f361725401a2190 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 27 Feb 2026 16:47:23 +0100 Subject: [PATCH 118/144] Server: updated sample_geometry to use status.geom which should be more resilliant --- src/aare/daq/server.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aare/daq/server.py b/src/aare/daq/server.py index fbbb875c..84cc8591 100644 --- a/src/aare/daq/server.py +++ b/src/aare/daq/server.py @@ -91,7 +91,7 @@ async def sample_geometry( token: str = Depends(oauth2_scheme), ) -> SampleGeometryModel: auth.check_jwt_ro(cfg, auth.parse_token(token)) - return daq.sample_geometry + return daq.status.geom @app.put("/beamline/omega") From 4a874326f04f1521f2fa9faafa8ae4341e4af1dd Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 27 Feb 2026 16:47:48 +0100 Subject: [PATCH 119/144] Daq_worker: change error handling of smargon and tell. also chenged log handling --- src/aare/gui/threads/daq_worker.py | 44 ++++++++++++++++++++++++++++++ 1 file changed, 44 insertions(+) diff --git a/src/aare/gui/threads/daq_worker.py b/src/aare/gui/threads/daq_worker.py index 33ea2eca..1cbccd4f 100644 --- a/src/aare/gui/threads/daq_worker.py +++ b/src/aare/gui/threads/daq_worker.py @@ -63,6 +63,10 @@ class DAQWorker(QObject): self._smargon_retry_interval_s = 2.0 self._smargon_log_min_interval_s = 10.0 + self._device_error_log_min_interval_s = 10.0 + self._last_device_error_log_ts: dict[str, float] = {"tell": 0.0, "smargon": 0.0} + self._last_device_error_log_key: dict[str, str | None] = {"tell": None, "smargon": None} + self._last_status_error = None self._smargon_error_active = False self._last_smargon_log_ts = 0.0 @@ -105,6 +109,31 @@ class DAQWorker(QObject): self._last_smargon_log_ts = now logger.error(f"Smargon connection error (endpoint={endpoint}): {message}") + def _log_device_error_throttled(self, *, device: str, message: str | None) -> None: + """ + Log device error string immediately if it changes; otherwise at most every N seconds. + Intended for status-poll derived errors like tell_error / smargon_error. + """ + if not message: + return + + device = (device or "unknown").lower() + now = time.monotonic() + key = str(message) + + last_key = self._last_device_error_log_key.get(device) + last_ts = self._last_device_error_log_ts.get(device, 0.0) + + if last_key != key: + self._last_device_error_log_key[device] = key + self._last_device_error_log_ts[device] = now + logger.error(f"{device.upper()} error: {message}") + return + + if now - last_ts >= self._device_error_log_min_interval_s: + self._last_device_error_log_ts[device] = now + logger.error(f"{device.upper()} error: {message}") + @Slot() def regular_update(self): if self.__counter % SPREADHSEET_FREQUENCY == 0: @@ -147,9 +176,16 @@ class DAQWorker(QObject): tell_conn = bool(getattr(parsed_response, "tell_connected", True)) smargon_conn = bool(getattr(parsed_response, "smargon_connected", True)) + tell_err = getattr(parsed_response, "tell_error", None) + smargon_err = getattr(parsed_response, "smargon_error", None) + # Status-bar messages should appear: + # - the first time we *notice* a disconnect + # - again when it reconnects if self._last_tell_connected is None: self._last_tell_connected = tell_conn + if not tell_conn: + self.status_message.emit("TELL connection error, please inform your local contact.", True) elif self._last_tell_connected != tell_conn: self._last_tell_connected = tell_conn if tell_conn: @@ -159,6 +195,8 @@ class DAQWorker(QObject): if self._last_smargon_connected is None: self._last_smargon_connected = smargon_conn + if not smargon_conn: + self.status_message.emit("Smargon connection error, please inform your local contact.", True) elif self._last_smargon_connected != smargon_conn: self._last_smargon_connected = smargon_conn if smargon_conn: @@ -166,6 +204,12 @@ class DAQWorker(QObject): else: self.status_message.emit("Smargon connection error, please inform your local contact.", True) + # Throttled logging of the *error strings* every ~10s while disconnected + if not tell_conn: + self._log_device_error_throttled(device="tell", message=tell_err) + if not smargon_conn: + self._log_device_error_throttled(device="smargon", message=smargon_err) + except Exception as e: # keep your existing throttled logging behavior here if you want logger.error(f"Exception from status response: {e}") From 09e7200aee77f682c5e6b49101c534f5117f1515 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Fri, 27 Feb 2026 16:48:24 +0100 Subject: [PATCH 120/144] DAQ: safe beamline status --- src/aare/daq/daq.py | 58 ++++++++++++++++++++++++++++++++++++++------- 1 file changed, 50 insertions(+), 8 deletions(-) diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index a30e7b44..8389860a 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -1470,23 +1470,65 @@ class AareDAQ: ) return fallback, False, f"Smargon unavailable: {e}" + def _safe_beamline_status(self) -> BeamlineStatus: + try: + return self.beamline_status + except Exception: + return BeamlineStatus( + name=self.__bl, + ring_current_mA=0.0, + front_light=0.0, + back_light=0.0, + cryojet_K=0.0, + shutter_open=False, + exp_shutter_open=None, + flux_ph_s=0.0, + sample_camera=SampleCameraSettings(gain=0.0, exposure=0.0), + transmission=None, + zoom=self.__devs.zoom, + commissioning_mode=self.__cfg.commissioning_mode, + dtz_min=20, + dtz_max=1000, + ) + + def _safe_diffraction_geometry(self) -> DiffractionGeometry: + try: + return self.diffraction_geometry + except Exception: + # Must satisfy pydantic constraints in DiffractionGeometry + return DiffractionGeometry( + energy_keV=12.4, + dtz_mm=150.0, + detector_size_pxl=(1, 1), + pixel_size_mm=0.15, + beam_center_pxl=(0.0, 0.0), + detector_description="unavailable", + detector_serial_number="unavailable", + poni_rot1_rad=0.0, + poni_rot2_rad=0.0, + ) + @property def status(self) -> DAQStatusModel: safe_sample, tell_ok, tell_err = self._safe_sample() safe_geom, smargon_ok, smargon_err = self._safe_geom() - # session should be set by FastAPI server + return DAQStatusModel( state=self.state, busy=self.busy, - geom=self.sample_geometry, - bl=self.beamline_status, - sample=self.sample, + geom=safe_geom, + bl=self._safe_beamline_status(), + sample=safe_sample, session=SessionStatus(), - diffraction=self.diffraction_geometry, + diffraction=self._safe_diffraction_geometry(), box=self.__saved_box, - last_best_res = self.__cfg.last_best_res, - last_best_b_factor = self.__cfg.last_best_b_factor, - crystal_size = self.__cfg.crystal_size + last_best_res=self.__cfg.last_best_res, + last_best_b_factor=self.__cfg.last_best_b_factor, + crystal_size=self.__cfg.crystal_size, + tell_connected=tell_ok, + tell_error=tell_err, + smargon_connected=smargon_ok, + smargon_error=smargon_err, ) def cancel(self): From 7e50f1070a854fd082e9b4bb2e047a2d48dc30af Mon Sep 17 00:00:00 2001 From: appleb_m Date: Mon, 9 Mar 2026 17:07:38 +0100 Subject: [PATCH 121/144] DAQ: temporary updates to workflows.py --- src/aare/daq/workflows.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/src/aare/daq/workflows.py b/src/aare/daq/workflows.py index 1d7ae517..04addece 100644 --- a/src/aare/daq/workflows.py +++ b/src/aare/daq/workflows.py @@ -34,14 +34,14 @@ def common_2rse(devs: BeamlineDevices, cfg: BeamlineConfig): print('move smargon home') devs.smargon_move_home() print('try to move aerotech') - devs.aerotech_pos = Coordinate(x=18.0, y=0.0, z=0.0) + devs.aerotech_pos = Coordinate(x=0.0, y=0.0, z=0.0) devs.aerotech_omega = 0.0 - print('move bl to park') - devs.reflector_up = StagePositionEnum.PARK + #print('move bl to park') + #devs.reflector_up = StagePositionEnum.PARK print('move bs to park') devs.beamstop_stage_up = StagePositionEnum.PARK - print('move cryo to park') - devs.__cryojet_pos = StagePositionEnum.PARK + #print('move cryo to park') + #devs.__cryojet_pos = StagePositionEnum.PARK def m2se(devs: BeamlineDevices, cfg: BeamlineConfig): pass @@ -53,14 +53,14 @@ def sa2se(devs: BeamlineDevices, cfg: BeamlineConfig): print('move smargon home') devs.smargon_move_home() print('try to move aerotech') - devs.aerotech_pos = Coordinate(x=18.0, y=0.0, z=0.0) + devs.aerotech_pos = Coordinate(x=0.0, y=0.0, z=0.0) devs.aerotech_omega = 0.0 print('move bl to park') devs.reflector_up = StagePositionEnum.PARK print('move bs to park') devs.beamstop_stage_up = StagePositionEnum.PARK - print('move cryo to park') - devs.__cryojet_pos = StagePositionEnum.PARK + #print('move cryo to park') + #devs.__cryojet_pos = StagePositionEnum.PARK def sa2rse(devs: BeamlineDevices, cfg: BeamlineConfig): common_2rse(devs, cfg) From b5612531eff23c29281cbd8a9cd30b71e2b3251e Mon Sep 17 00:00:00 2001 From: appleb_m Date: Mon, 9 Mar 2026 17:09:33 +0100 Subject: [PATCH 122/144] GUI: updates to help messages, predictions stream, added polygons to predictions, added beamline recovery panel, controls help dialog, smargon trace panel --- src/aare/gui/gui.py | 12 +- src/aare/gui/main_window.py | 203 +++++- .../gui/panels/beamline_recovery_panel.py | 282 ++++++++ src/aare/gui/panels/developer_help_dialog.py | 1 + src/aare/gui/panels/face_detection_panel.py | 67 +- src/aare/gui/panels/file_path_panel.py | 1 + src/aare/gui/panels/smargon_panel.py | 3 +- src/aare/gui/panels/smargon_trace_panel.py | 639 ++++++++++++++++++ src/aare/gui/threads/camera_thread.py | 30 +- src/aare/gui/threads/prediction_subscriber.py | 68 +- .../gui/tutorials/controls_help_dialog.py | 156 +++++ src/aare/gui/widgets/camera_image.py | 9 +- 12 files changed, 1386 insertions(+), 85 deletions(-) create mode 100644 src/aare/gui/panels/beamline_recovery_panel.py create mode 100644 src/aare/gui/panels/smargon_trace_panel.py create mode 100644 src/aare/gui/tutorials/controls_help_dialog.py diff --git a/src/aare/gui/gui.py b/src/aare/gui/gui.py index f3532841..284ec734 100644 --- a/src/aare/gui/gui.py +++ b/src/aare/gui/gui.py @@ -37,8 +37,8 @@ if __name__ == "__main__": default_gonio_camera_id = 3 case MXBeamline.X10SA: default_url = "http://127.0.0.1:5210" - default_zmq_addr = "tcp://x10sa-spark-01:9091" #"tcp://x10sa-pserv-01:9089" - default_pred_zmq_addr = "tcp://x10sa-spark-01:9091" + default_zmq_addr = "tcp://x10sa-spark-01:9091" #"tcp://x10sa-pserv-01:9089" # + default_pred_zmq_addr = "tcp://x10sa-spark-01:9091" #"tcp://sls-gpu-003:9089"#"" default_beamline_cam_addr = "axis-accc8eb02488.psi.ch" default_gonio_cam_addr = "axis-accc8ea5e463.psi.ch" default_gonio_camera_id = 1 @@ -103,6 +103,11 @@ if __name__ == "__main__": try: token = auth(base_url) + if not token or token.count(".") != 2: + raise RuntimeError( + "Authentication did not return a valid token. " + "Please check the server is running (it may still be initialising)." + ) logger.info("Authentication successful") except Exception as e: logger.error(f"Cannot connect to AareDAQ server. Exiting. {e}") @@ -133,8 +138,9 @@ if __name__ == "__main__": QMessageBox.critical( None, "Fatal Error", - f"An error occurred during startup:\n\n{str(e)}\n\nSee console for details." + f"An error occurred during startup. See console for details." f"\nPlease check the server is running and your network connection." + f"\n\n{str(e)}\n\n" ) except: pass diff --git a/src/aare/gui/main_window.py b/src/aare/gui/main_window.py index a6b0204a..95b2dbfe 100644 --- a/src/aare/gui/main_window.py +++ b/src/aare/gui/main_window.py @@ -1,6 +1,8 @@ +import time + import jwt -from PySide6.QtCore import Qt, Slot, Signal -from PySide6.QtGui import QAction +from PySide6.QtCore import Qt, Slot, Signal, QTimer, QSettings +from PySide6.QtGui import QAction, QPixmap from PySide6.QtWidgets import ( QMainWindow, QWidget, @@ -20,16 +22,19 @@ from aare.gui.panels.LogPanel import LogDock from aare.gui.panels.beamline_controls import BeamlineControls from aare.gui.panels.data_collection_settings import DataCollectionSettings from aare.gui.panels.developer_help_dialog import DeveloperHelpDialog +from aare.gui.panels.beamline_recovery_panel import BeamlineRecoveryDialog from aare.gui.panels.manual_sample_panel import ManualSamplePanel from aare.gui.panels.reference_tools_panel import ReferenceToolsPanel from aare.gui.panels.sample_queue_panel import SampleQueuePanel from aare.gui.panels.tell_sample_panel import TellSamplePanel from aare.gui.panels.face_detection_panel import FaceDetectionPanel +from aare.gui.panels.smargon_trace_panel import SmargonTracePanel from aare.gui.scan_logic.raster_grid_manager import RasterGridManager from aare.gui.scan_logic.rotation_scan_manager import RotationScanManager from aare.gui.scan_logic.sample_mount_logic import SampleMountLogic from aare.gui.threads.axis_video_thread import VideoThread from aare.gui.tutorials.tutorial_manager import TutorialManager, TutorialStep +from aare.gui.tutorials.controls_help_dialog import ControlsHelpDialog from aare.gui.threads.camera_thread import SampleCameraThread from aare.gui.threads.prediction_subscriber import PredictionSubscriber @@ -61,15 +66,35 @@ class MainWindow(QMainWindow): self.__token = token self.__mounting = False self._dev_help_dialog = None + self._beamline_recovery_dialog = None + self._controls_help_dialog = None + self._cleanup_done = False # Tutorial manager (define tutorials after widgets exist) self.tutorial_manager = TutorialManager(self) self.viewer = JFJochDBusClient() - # Decode the JWT without signature verification - self.__decoded_token = TokenData(**jwt.decode(token, options={"verify_signature": False})) - logger.debug(self.__decoded_token) + try: + token_str = (token or "").strip() + if token_str.count(".") != 2: + raise ValueError( + "Invalid authentication token received (not a JWT). " + "This usually happens when the server is not running or still starting." + ) + + payload = jwt.decode(token_str, options={"verify_signature": False}) + self.__decoded_token = TokenData(**payload) + except Exception as e: + logger.error(f"Failed to decode authentication token: {e}", exc_info=True) + QMessageBox.critical( + None, + "Authentication Error", + "Could not start the GUI because authentication data was invalid.\n\n" + "Most commonly the server is not running yet (or is still initialising).\n" + "Please start/restart the server and try again." + ) + raise self.setStyleSheet("background-color: rgb(216, 228, 253);") @@ -176,6 +201,7 @@ class MainWindow(QMainWindow): self.addDockWidget(Qt.DockWidgetArea.BottomDockWidgetArea, self.tell_samples_dock) self.ref_tools_dock = QDockWidget("Reference Tools", self) + self.ref_tools_dock.setObjectName("ref_tools_dock") self.ref_tools_dock.setWidget(self.ref_tools_panel) self.ref_tools_dock.setAllowedAreas(Qt.DockWidgetArea.BottomDockWidgetArea) self.addDockWidget(Qt.DockWidgetArea.BottomDockWidgetArea, self.ref_tools_dock) @@ -184,6 +210,7 @@ class MainWindow(QMainWindow): self.sample_logic = SampleMountLogic() self.job_list_dock = QDockWidget("Automation list", self) + self.job_list_dock.setObjectName("job_list_dock") self.job_list_dock.setWidget(self.job_list_panel) self.job_list_dock.setAllowedAreas(Qt.DockWidgetArea.BottomDockWidgetArea) self.addDockWidget(Qt.DockWidgetArea.BottomDockWidgetArea, self.job_list_dock) @@ -191,12 +218,14 @@ class MainWindow(QMainWindow): self.manual_sample_panel = ManualSamplePanel() self.manual_sample_dock = QDockWidget("Manual sample", self) + self.manual_sample_dock.setObjectName("manual_sample_dock") self.manual_sample_dock.setWidget(self.manual_sample_panel) self.manual_sample_dock.setAllowedAreas(Qt.DockWidgetArea.BottomDockWidgetArea) self.addDockWidget(Qt.DockWidgetArea.BottomDockWidgetArea, self.manual_sample_dock) self.face_panel = FaceDetectionPanel() self.face_panel_dock = QDockWidget("Face detection", self) + self.face_panel_dock.setObjectName("face_panel_dock") self.face_panel_dock.setWidget(self.face_panel) self.face_panel_dock.setAllowedAreas(Qt.DockWidgetArea.RightDockWidgetArea | Qt.DockWidgetArea.LeftDockWidgetArea) self.addDockWidget(Qt.DockWidgetArea.RightDockWidgetArea, self.face_panel_dock) @@ -204,6 +233,7 @@ class MainWindow(QMainWindow): self.fluor_panel = FluorescencePanel() self.fluor_panel_dock = QDockWidget("Fluorescence", self) + self.fluor_panel_dock.setObjectName("fluor_panel_dock") self.fluor_panel_dock.setWidget(self.fluor_panel) self.fluor_panel_dock.setAllowedAreas(Qt.DockWidgetArea.TopDockWidgetArea | Qt.DockWidgetArea.BottomDockWidgetArea | Qt.DockWidgetArea.RightDockWidgetArea) self.addDockWidget(Qt.DockWidgetArea.BottomDockWidgetArea, self.fluor_panel_dock) @@ -211,16 +241,30 @@ class MainWindow(QMainWindow): # Create and add the dock to your main window self.log_dock = LogDock("Console Log", self) + self.log_dock.setObjectName("log_dock") self.addDockWidget(Qt.BottomDockWidgetArea, self.log_dock) self.log_dock.attach_logger("") self.log_dock.attach_logger("aareDAQ") self.log_dock.attach_logger("aareGUI") self.log_dock.hide() + self.smargon_trace_panel = SmargonTracePanel() + self.smargon_trace_dock = QDockWidget("Smargon trace", self) + self.smargon_trace_dock.setObjectName("smargon_trace_dock") + self.smargon_trace_dock.setWidget(self.smargon_trace_panel) + self.smargon_trace_dock.setAllowedAreas( + Qt.DockWidgetArea.RightDockWidgetArea + | Qt.DockWidgetArea.LeftDockWidgetArea + | Qt.DockWidgetArea.BottomDockWidgetArea + ) + self.addDockWidget(Qt.DockWidgetArea.RightDockWidgetArea, self.smargon_trace_dock) + self.smargon_trace_dock.hide() + self.setCentralWidget(top_widget) self.setWindowTitle("AareGUI") self.create_menu_bar() + self._restore_window_state() # Define tutorials now that the UI exists @@ -233,6 +277,7 @@ class MainWindow(QMainWindow): self.daq.reference_tools.connect(self.ref_tools_panel.new_list) self.beamline.samcam.changed.connect(self.daq.samcam_settings) + self.beamline.samcam.screenshot_requested.connect(self.daq.send_screenshot_db) self.beamline.loopctr.background.clicked.connect(self.daq.alc_background) self.beamline.loopctr.find_tip.clicked.connect(self.daq.center_loop) self.beamline.loopctr.bounding_box.clicked.connect(self.daq.ml_bounding_box) @@ -267,7 +312,6 @@ class MainWindow(QMainWindow): if zmq_addr is not None: self.camera_thread = SampleCameraThread(zmq_url=zmq_addr) - self.camera_thread.camera_image.connect(self.sample_camera.update_pixmap) self.camera_thread.start() self.camera_thread.focus_measure.connect(self.status_bar.update_sharpness) self.camera_thread.fps_measure.connect(self.status_bar.update_samcam_fps) @@ -278,14 +322,25 @@ class MainWindow(QMainWindow): if pred_zmq_addr is not None: logger.debug(f"Starting prediction subscriber thread {pred_zmq_addr}") self.prediction_thread = PredictionSubscriber(pred_zmq_url=pred_zmq_addr, topic="detections") - self.prediction_thread.image.connect(self.sample_camera.update_pixmap) self.prediction_thread.prediction.connect(self.sample_camera.update_detections) self.prediction_thread.start() else: self.prediction_thread = None + self._last_pred_image_ts: float | None = None + self._pred_preferred_timeout_s: float = 0.7 # tune: how long we "trust" prediction images + self._pred_is_preferred: bool = False - QApplication.instance().aboutToQuit.connect(self.cleanup) + if self.camera_thread is not None: + self.camera_thread.camera_image.connect(self._on_samcam_camera_pixmap) + + if self.prediction_thread is not None: + self.prediction_thread.image.connect(self._on_samcam_prediction_pixmap) + + self._samcam_source_timer = QTimer(self) + self._samcam_source_timer.setInterval(200) # ms + self._samcam_source_timer.timeout.connect(self._update_samcam_source_preference) + self._samcam_source_timer.start() # # self.data_collection.helical.helical_scan.connect(self.worker.helical_scan) @@ -395,6 +450,31 @@ class MainWindow(QMainWindow): register_tutorials(self, self.tutorial_manager) + @Slot(QPixmap) + def _on_samcam_prediction_pixmap(self, pix: QPixmap) -> None: + self._last_pred_image_ts = time.monotonic() + self._pred_is_preferred = True + self.sample_camera.update_pixmap(pix) + + @Slot(QPixmap) + def _on_samcam_camera_pixmap(self, pix: QPixmap) -> None: + # Only show camera frames when prediction is not currently "healthy" + if not self._pred_is_preferred: + self.sample_camera.update_pixmap(pix) + + @Slot() + def _update_samcam_source_preference(self) -> None: + if self.prediction_thread is None: + self._pred_is_preferred = False + return + + if self._last_pred_image_ts is None: + self._pred_is_preferred = False + return + + age_s = time.monotonic() - self._last_pred_image_ts + self._pred_is_preferred = age_s <= self._pred_preferred_timeout_s + def start_text_tutorial(self) -> None: self.tutorial_manager.start("intro_text") @@ -453,6 +533,15 @@ class MainWindow(QMainWindow): self.fluor_panel_dock.visibilityChanged.connect(show_fluor_panel_action.setChecked) view_menu.addAction(show_fluor_panel_action) + show_smargon_trace_action = QAction("Show Smargon trace", self) + show_smargon_trace_action.setCheckable(True) + show_smargon_trace_action.setChecked(False) + show_smargon_trace_action.triggered.connect(lambda checked: self.smargon_trace_dock.setVisible(checked)) + self.smargon_trace_dock.visibilityChanged.connect( + lambda visible: self.smargon_trace_panel.refresh_plot(force=True) if visible else None + ) + view_menu.addAction(show_smargon_trace_action) + show_log_action = QAction("Show Log", self) show_log_action.setCheckable(True) show_log_action.setChecked(False) @@ -465,10 +554,19 @@ class MainWindow(QMainWindow): about_action.triggered.connect(self.show_about_dialog) help_menu.addAction(about_action) + controls_help_action = QAction("Mouse / Keyboard Controls", self) + controls_help_action.triggered.connect(self.show_controls_help) + help_menu.addAction(controls_help_action) + dev_help_action = QAction("Developer / Help", self) dev_help_action.triggered.connect(self.show_developer_help) help_menu.addAction(dev_help_action) + if self.__decoded_token.staff: + beamline_recovery_action = QAction("Beamline Recovery", self) + beamline_recovery_action.triggered.connect(self.show_beamline_recovery) + help_menu.addAction(beamline_recovery_action) + help_menu.addSeparator() start_text_tutorial_action = QAction("Start Tutorial (Text)", self) @@ -485,6 +583,14 @@ class MainWindow(QMainWindow): "About", "Aare Macromolecular Crystallography GUI\nVersion: 1.0\nCopyright: Paul Scherrer Institute 2024-2025", ) + + def show_controls_help(self) -> None: + if self._controls_help_dialog is None: + self._controls_help_dialog = ControlsHelpDialog(parent=self) + self._controls_help_dialog.show() + self._controls_help_dialog.raise_() + self._controls_help_dialog.activateWindow() + def show_developer_help(self) -> None: if self._dev_help_dialog is None: self._dev_help_dialog = DeveloperHelpDialog( @@ -497,6 +603,18 @@ class MainWindow(QMainWindow): self._dev_help_dialog.raise_() self._dev_help_dialog.activateWindow() + def show_beamline_recovery(self) -> None: + if not bool(getattr(self.__decoded_token, "staff", False)): + return + if self._beamline_recovery_dialog is None: + self._beamline_recovery_dialog = BeamlineRecoveryDialog( + daq=self.daq, + parent=self, + ) + self._beamline_recovery_dialog.show() + self._beamline_recovery_dialog.raise_() + self._beamline_recovery_dialog.activateWindow() + @Slot(str) def show_sample_missing_dialog(self, msg: str): if self.job_list_panel.is_running(): @@ -514,8 +632,12 @@ class MainWindow(QMainWindow): @Slot(DAQStatusModel) def update_daq_status(self, s: DAQStatusModel): - self.beamline_camera_thread.set_busy(s.busy) - self.gonio_camera_thread.set_busy(s.busy) + if hasattr(self, "beamline_camera_thread") and self.beamline_camera_thread is not None: + self.beamline_camera_thread.set_busy(s.busy) + + if hasattr(self, "gonio_camera_thread") and self.gonio_camera_thread is not None: + self.gonio_camera_thread.set_busy(s.busy) + if not self.__mounting and s.state == BeamlineStateEnum.RobotSampleExchange: self.__mounting = True self.video_tab.setCurrentIndex(3) @@ -532,12 +654,57 @@ class MainWindow(QMainWindow): self.status_bar.setStyleSheet("color: green;") self.status_bar.showMessage(f' {msg} ', 10000) + def _restore_window_state(self) -> None: + settings = QSettings() + geometry = settings.value("main_window/geometry") + state = settings.value("main_window/state") + + if geometry is not None: + self.restoreGeometry(geometry) + if state is not None: + self.restoreState(state) + + def closeEvent(self, event) -> None: + try: + settings = QSettings() + settings.setValue("main_window/geometry", self.saveGeometry()) + settings.setValue("main_window/state", self.saveState()) + except Exception as e: + logger.warning(f"Failed to save main window state: {e}") + + try: + self.cleanup() + except Exception as e: + logger.warning(f"Cleanup during closeEvent failed: {e}") + + super().closeEvent(event) + def cleanup(self): - if self.camera_thread is not None: - self.camera_thread.stop() - if self.prediction_thread is not None: - self.prediction_thread.stop() - if self.beamline_camera_thread is not None: - self.beamline_camera_thread.stop() - if self.gonio_camera_thread is not None: - self.gonio_camera_thread.stop() + if getattr(self, "_cleanup_done", False): + return + self._cleanup_done = True + + try: + if hasattr(self, "_samcam_source_timer") and self._samcam_source_timer is not None: + self._samcam_source_timer.stop() + except Exception as e: + logger.warning(f"Failed to stop _samcam_source_timer: {e}") + + for attr_name in ( + "camera_thread", + "prediction_thread", + "beamline_camera_thread", + "gonio_camera_thread", + ): + thread = getattr(self, attr_name, None) + if thread is None: + continue + + logger.debug(f"Stopping {attr_name}") + + try: + thread.stop() + except Exception as e: + logger.warning(f"Failed to stop {attr_name}: {e}") + + setattr(self, attr_name, None) \ No newline at end of file diff --git a/src/aare/gui/panels/beamline_recovery_panel.py b/src/aare/gui/panels/beamline_recovery_panel.py new file mode 100644 index 00000000..6f9afa13 --- /dev/null +++ b/src/aare/gui/panels/beamline_recovery_panel.py @@ -0,0 +1,282 @@ +from __future__ import annotations + +from PySide6.QtCore import Slot +from PySide6.QtWidgets import ( + QDialog, + QVBoxLayout, + QLabel, + QPushButton, + QWidget, + QDialogButtonBox, + QInputDialog, + QLineEdit, + QMessageBox, +) + +from aare.common.models import DAQStatusModel +from aare.gui.threads.daq_worker import DAQWorker + + +class RecoveryPanel(QWidget): + def __init__(self, *, daq: DAQWorker, parent=None): + super().__init__(parent) + self._daq = daq + self._last_status: DAQStatusModel | None = None + + layout = QVBoxLayout(self) + layout.setSpacing(10) + + self._warning_primary = QLabel( + "⚠ Recovery actions are staff-only and intentionally dangerous.", + self, + ) + self._warning_primary.setWordWrap(True) + self._warning_primary.setStyleSheet( + "QLabel {" + " background: #fff3cd;" + " color: #7a4b00;" + " border: 1px solid #f0c36d;" + " border-radius: 6px;" + " padding: 8px;" + " font-weight: 600;" + "}" + ) + layout.addWidget(self._warning_primary) + + self._warning_secondary = QLabel( + "Only use these commands when beamline is stuck and certain beamline is unrecoverable through normal operation.", + self, + ) + self._warning_secondary.setWordWrap(True) + self._warning_secondary.setStyleSheet( + "QLabel {" + " background: #fdeaea;" + " color: #8b1e1e;" + " border: 1px solid #e6a8a8;" + " border-radius: 6px;" + " padding: 8px;" + " font-weight: 600;" + "}" + ) + layout.addWidget(self._warning_secondary) + + self._status = QLabel("Current status: waiting for DAQ status update…", self) + self._status.setWordWrap(True) + self._status.setStyleSheet( + "QLabel {" + " background: #fafafa;" + " border: 1px solid #d0d0d0;" + " border-radius: 6px;" + " padding: 8px;" + "}" + ) + layout.addWidget(self._status) + + self._take_over_btn = QPushButton("Take over beamline", self) + self._take_over_btn.setStyleSheet( + "QPushButton {" + " background: #fff3cd;" + " border: 1px solid #f0c36d;" + " border-radius: 6px;" + " padding: 8px;" + " font-weight: 600;" + "}" + ) + self._take_over_btn.clicked.connect(self._take_over_beamline) + layout.addWidget(self._take_over_btn) + + self._free_beamline_btn = QPushButton("Free beamline", self) + self._free_beamline_btn.setStyleSheet( + "QPushButton {" + " background: #fff3cd;" + " border: 1px solid #f0c36d;" + " border-radius: 6px;" + " padding: 8px;" + " font-weight: 600;" + "}" + ) + self._free_beamline_btn.clicked.connect(self._free_beamline) + layout.addWidget(self._free_beamline_btn) + + self._recover_beamline_btn = QPushButton("Recover beamline", self) + self._recover_beamline_btn.setStyleSheet( + "QPushButton {" + " background: #fdeaea;" + " color: #8b1e1e;" + " border: 1px solid #e6a8a8;" + " border-radius: 6px;" + " padding: 8px;" + " font-weight: 700;" + "}" + ) + self._recover_beamline_btn.clicked.connect(self._recover_beamline) + layout.addWidget(self._recover_beamline_btn) + + self._recovery_unmount_btn = QPushButton("Unmount sample (recovery)", self) + self._recovery_unmount_btn.setStyleSheet( + "QPushButton {" + " background: #fdeaea;" + " color: #8b1e1e;" + " border: 1px solid #e6a8a8;" + " border-radius: 6px;" + " padding: 8px;" + " font-weight: 700;" + "}" + ) + self._recovery_unmount_btn.clicked.connect(self._recovery_unmount_sample) + layout.addWidget(self._recovery_unmount_btn) + + layout.addStretch(1) + + self._daq.update.connect(self._set_daq_status) + self._refresh_buttons() + + def _prompt_recovery_code(self, action_name: str) -> str | None: + code, ok = QInputDialog.getText( + self, + action_name, + "Enter recovery confirmation code:", + QLineEdit.EchoMode.Password, + ) + if not ok: + return None + code = code.strip() + return code or None + + def _sample_appears_mounted(self) -> bool: + try: + return self._last_status is not None and self._last_status.sample is not None + except Exception: + return False + + def _beamline_appears_busy(self) -> bool: + try: + return self._last_status is not None and bool(self._last_status.busy) + except Exception: + return False + + def _status_text(self) -> str: + if self._last_status is None: + return "Current status: waiting for DAQ status update…" + + state_name = getattr(self._last_status.state, "name", str(self._last_status.state)) + busy = bool(getattr(self._last_status, "busy", False)) + sample_mounted = self._sample_appears_mounted() + tell_connected = bool(getattr(self._last_status, "tell_connected", False)) + + return ( + f"State: {state_name}\n" + f"Busy: {busy}\n" + f"Sample mounted: {sample_mounted}\n" + f"TELL connected: {tell_connected}" + ) + + def _refresh_buttons(self) -> None: + sample_mounted = self._sample_appears_mounted() + beamline_busy = self._beamline_appears_busy() + + self._recovery_unmount_btn.setEnabled(sample_mounted) + self._recovery_unmount_btn.setToolTip( + "" if sample_mounted else "Disabled because no mounted sample is visible in current status." + ) + + self._free_beamline_btn.setEnabled(beamline_busy) + self._free_beamline_btn.setToolTip( + "" if beamline_busy else "Disabled because beamline does not currently appear busy." + ) + + def _confirm(self, title: str, msg: str) -> bool: + reply = QMessageBox.warning( + self, + title, + msg, + QMessageBox.StandardButton.Yes | QMessageBox.StandardButton.No, + QMessageBox.StandardButton.No, + ) + return reply == QMessageBox.StandardButton.Yes + + @Slot(DAQStatusModel) + def _set_daq_status(self, s: DAQStatusModel) -> None: + self._last_status = s + self._status.setText(self._status_text()) + self._refresh_buttons() + + @Slot() + def _take_over_beamline(self) -> None: + if not self._confirm( + "Take over beamline", + "This will forcefully grab the active beamline session.\n\nDo you want to continue?", + ): + return + code = self._prompt_recovery_code("Take over beamline") + if not code: + return + self._daq.take_over_beamline(code) + + @Slot() + def _free_beamline(self) -> None: + if not self._confirm( + "Free beamline", + "This will clear the beamline busy flag.\n\nDo you want to continue?", + ): + return + code = self._prompt_recovery_code("Free beamline") + if not code: + return + self._daq.free_beamline(code) + + @Slot() + def _recover_beamline(self) -> None: + if self._sample_appears_mounted(): + if not self._confirm( + "Recover beamline", + "A sample appears to be mounted.\n\n" + "Recovering the beamline may damage the sample or leave hardware in an unsafe state.\n\n" + "Only continue if you are sure this is the correct recovery action.", + ): + return + else: + if not self._confirm( + "Recover beamline", + "This will take over the beamline, clear the busy flag, and set the state to Maintenance.\n\n" + "Do you want to continue?", + ): + return + + code = self._prompt_recovery_code("Recover beamline") + if not code: + return + self._daq.recover_beamline(code) + + @Slot() + def _recovery_unmount_sample(self) -> None: + if not self._confirm( + "Unmount sample (recovery)", + "This will force-take the session and attempt a controlled recovery unmount.\n\n" + "Use this only if normal unmount is not possible.", + ): + return + + code = self._prompt_recovery_code("Unmount sample (recovery)") + if not code: + return + self._daq.recovery_unmount_sample(code) + + +class BeamlineRecoveryDialog(QDialog): + def __init__(self, *, daq: DAQWorker, parent=None): + super().__init__(parent) + self.setWindowTitle("Beamline Recovery") + self.setMinimumSize(560, 420) + + layout = QVBoxLayout(self) + layout.setContentsMargins(12, 12, 12, 12) + layout.setSpacing(8) + + self._panel = RecoveryPanel(daq=daq, parent=self) + layout.addWidget(self._panel, 1) + + buttons = QDialogButtonBox(QDialogButtonBox.StandardButton.Close, parent=self) + buttons.rejected.connect(self.reject) + buttons.accepted.connect(self.accept) + layout.addWidget(buttons) diff --git a/src/aare/gui/panels/developer_help_dialog.py b/src/aare/gui/panels/developer_help_dialog.py index dcc7bfd1..5979f2b2 100644 --- a/src/aare/gui/panels/developer_help_dialog.py +++ b/src/aare/gui/panels/developer_help_dialog.py @@ -29,6 +29,7 @@ from aare.common.logger_config import QtLogEmitter, QtLogHandler, find_existing_ from aare.gui.threads.daq_worker import DAQWorker + class DeveloperHelpDialog(QDialog): def __init__(self, *, daq: DAQWorker, is_staff: bool, parent=None): super().__init__(parent) diff --git a/src/aare/gui/panels/face_detection_panel.py b/src/aare/gui/panels/face_detection_panel.py index 8ee8f1b5..d6d3f929 100644 --- a/src/aare/gui/panels/face_detection_panel.py +++ b/src/aare/gui/panels/face_detection_panel.py @@ -1,4 +1,3 @@ -# Python from PySide6.QtCore import Signal from PySide6.QtWidgets import QWidget, QGridLayout, QLabel, QPushButton, QVBoxLayout from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas @@ -12,6 +11,7 @@ from aare.common.logger_config import setup_logger logger = setup_logger("aareGUI") + class FaceDetectionPanel(QWidget): face_detection = Signal(int, int) @@ -20,6 +20,7 @@ class FaceDetectionPanel(QWidget): super().__init__(parent) self.steps = 14 self.step_size = 15 + self._manual_run_requested = False def _set_steps(val: float): self.steps = int(val) @@ -29,27 +30,22 @@ class FaceDetectionPanel(QWidget): self.fig = Figure(figsize=(5, 4), tight_layout=True) self.canvas = FigureCanvas(self.fig) - self.ax1 = self.fig.add_subplot(2, 1, 1) # Height vs angle - self.ax2 = self.fig.add_subplot(2, 1, 2) # Area vs angle + self.ax1 = self.fig.add_subplot(2, 1, 1) + self.ax2 = self.fig.add_subplot(2, 1, 2) self._top_layout = QGridLayout() self._top_layout.addWidget(TitleLabel("TELL sample changer", self), 0, 0, 1, 3) - self.status_lbl = QLabel("") + self.status_lbl = QLabel("Idle") self._top_layout.addWidget(self.status_lbl, 0, 2) self._top_layout.addWidget(QLabel("step size", parent=self), 1, 0) - self.step_size_enter = NumberLineEdit( - 0, 50, 15, decimals=4, parent=self - ) - + self.step_size_enter = NumberLineEdit(0, 50, 15, decimals=4, parent=self) self._top_layout.addWidget(self.step_size_enter, 1, 1, 1, 3) self.step_size_enter.newValue.connect(_set_step_size) self._top_layout.addWidget(QLabel("°", parent=self), 1, 4) self._top_layout.addWidget(QLabel("number of steps", parent=self), 2, 0) - self.steps_enter = NumberLineEdit( - 0, 50, 14, decimals=4, parent=self - ) + self.steps_enter = NumberLineEdit(0, 50, 14, decimals=4, parent=self) self._top_layout.addWidget(self.steps_enter, 2, 1, 1, 3) self._top_layout.addWidget(QLabel("", parent=self), 2, 4) self.steps_enter.newValue.connect(_set_steps) @@ -69,49 +65,68 @@ class FaceDetectionPanel(QWidget): def run_and_refresh(self): try: + self._manual_run_requested = True + self.status_lbl.setText("Starting...") + self.face_detection_button.setEnabled(False) self.face_detection.emit(int(self.steps), int(self.step_size)) except Exception as e: + self._manual_run_requested = False self.status_lbl.setText(f"Error: {e}") + self.face_detection_button.setEnabled(True) def update_plot(self, data): - samples = data.get("samples", []) - print(samples) + samples = data.get("samples", []) or [] + running = bool(data.get("running", False)) + angle = data.get("current_angle_deg") + status = data.get("status", "") + + if running: + if self._manual_run_requested: + self.status_lbl.setText(f"Running... angle {angle}" if angle is not None else "Running...") + else: + self.status_lbl.setText(f"Automation running... angle {angle}" if angle is not None else "Automation running...") + else: + if self._manual_run_requested: + self.status_lbl.setText("Done") + self.face_detection_button.setEnabled(True) + self._manual_run_requested = False + elif samples: + self.status_lbl.setText("Showing latest result") + else: + self.status_lbl.setText("Idle") + + self.ax1.clear() + self.ax2.clear() + if not samples: - self.ax1.clear() - self.ax2.clear() self.ax1.text(0.5, 0.5, "No data", ha="center", va="center") self.ax2.text(0.5, 0.5, "No data", ha="center", va="center") self.canvas.draw_idle() - logger.info("No data") return angles = np.array([s["angle_deg"] for s in samples], dtype=float) heights = np.array([s["height"] for s in samples], dtype=float) areas = np.array([s["area"] for s in samples], dtype=float) - self.ax1.clear() - self.ax2.clear() self.ax1.scatter(angles, heights, s=16, c="tab:blue", label="Height") self.ax2.scatter(angles, areas, s=16, c="tab:green", label="Area") - ang_grid = np.linspace(angles.min(),angles.max(), 400) - #ang_grid_wrapped = ((ang_grid + 180) % 360) - 180 - hf = data.get("height_fit", {}) + ang_grid = np.linspace(angles.min(), angles.max(), 400) + + hf = data.get("height_fit", {}) or {} if {"A", "B", "phi_rad", "C"} <= hf.keys(): A, B, phi, C = hf["A"], hf["B"], hf["phi_rad"], hf["C"] - height_fit = A + B * np.cos(C*np.deg2rad(ang_grid) - phi) + height_fit = A + B * np.cos(C * np.deg2rad(ang_grid) - phi) self.ax1.plot(ang_grid, height_fit, color="tab:orange", label="Height fit") if "best_angle_deg" in hf: - logger.info(f"best angle: {hf['best_angle_deg']}") self.ax1.axvline(hf["best_angle_deg"], color="tab:orange", ls="--", alpha=0.6) - af = data.get("area_fit", {}) - if {"A", "B", "phi_rad", "C"} <= hf.keys(): + af = data.get("area_fit", {}) or {} + if {"A", "B", "phi_rad", "C"} <= af.keys(): A2, B2, phi2, C2 = af["A"], af["B"], af["phi_rad"], af["C"] area_fit = A2 + B2 * np.cos(C2 * np.deg2rad(ang_grid) - phi2) self.ax2.plot(ang_grid, area_fit, color="tab:red", label="Area fit") if "best_angle_deg" in af: - logger.info(f"best angle: {af['best_angle_deg']}") self.ax2.axvline(af["best_angle_deg"], color="tab:red", ls="--", alpha=0.6) self.ax1.set_xlabel("Angle (deg)") diff --git a/src/aare/gui/panels/file_path_panel.py b/src/aare/gui/panels/file_path_panel.py index 8af17c42..db141a7f 100644 --- a/src/aare/gui/panels/file_path_panel.py +++ b/src/aare/gui/panels/file_path_panel.py @@ -182,6 +182,7 @@ class FilePathPanel(QWidget): self.__puck_pos = 99 self.directory_edit.setText(f"{self.__formatted_date}/test") else: + self.__sample_id = sample.db_id self.__sample_name = sample.sample_name self.__dewar_pos = sample.loc_str() self.__puck_name = sample.puck_name diff --git a/src/aare/gui/panels/smargon_panel.py b/src/aare/gui/panels/smargon_panel.py index 89940545..c9b1f5f6 100644 --- a/src/aare/gui/panels/smargon_panel.py +++ b/src/aare/gui/panels/smargon_panel.py @@ -85,7 +85,8 @@ class SmargonPanel(QWidget): @Slot() def home(self): - self.smargon.emit(Smargon.SMARGON_HOME) + #TODO move SMARGON_HOME to REDIS, allow GUI to read this value + self.smargon.emit(SmargonCoordinate(sh_mm=Coordinate(x=0, y=0, z=18), phi_deg=0, chi_deg=0)) @Slot(float) def phi(self, f: float): diff --git a/src/aare/gui/panels/smargon_trace_panel.py b/src/aare/gui/panels/smargon_trace_panel.py new file mode 100644 index 00000000..fe958702 --- /dev/null +++ b/src/aare/gui/panels/smargon_trace_panel.py @@ -0,0 +1,639 @@ +from __future__ import annotations + +import csv +from math import sqrt +from pathlib import Path + +import numpy as np +from matplotlib.backends.backend_qtagg import FigureCanvasQTAgg as FigureCanvas +from matplotlib.figure import Figure +from PySide6.QtCore import QSettings, QTimer, Qt +from PySide6.QtWidgets import ( + QCheckBox, + QComboBox, + QFileDialog, + QFormLayout, + QGroupBox, + QHBoxLayout, + QLabel, + QPushButton, + QTableWidget, + QTableWidgetItem, + QVBoxLayout, + QWidget, +) + + +class SmargonTracePanel(QWidget): + HOME_X_MM = 0.0 + HOME_Y_MM = 0.0 + HOME_Z_MM = 18.0 + TABLE_MAX_ROWS = 20 + + COLOR_X = "tab:red" + COLOR_Y = "tab:green" + COLOR_Z = "tab:blue" + COLOR_DISTANCE = "tab:purple" + + SETTINGS_GROUP = "smargon_trace_panel" + + def __init__(self, csv_path: str | Path = "logs/smargon_trace.csv", parent=None): + super().__init__(parent) + + self._csv_path = Path(csv_path) + self._active_csv_path: Path | None = None + self._last_mtime_ns: int | None = None + self._last_rows: list[dict[str, object]] = [] + self._last_distances: list[float] = [] + self._last_lengths: list[float] = [] + + self._status = QLabel("Waiting for smargon trace data...") + self._status.setWordWrap(True) + + self._summary = QLabel( + f"Home position: " + f"X={self.HOME_X_MM:.3f} mm, " + f"Y={self.HOME_Y_MM:.3f} mm, " + f"Z={self.HOME_Z_MM:.3f} mm" + ) + self._summary.setWordWrap(True) + + self._metrics = QLabel("Latest metrics: distance=n/a | length=n/a") + self._metrics.setWordWrap(True) + + self._show_summary_cb = QCheckBox("Summary") + self._show_delta_cb = QCheckBox("Delta") + self._show_absolute_cb = QCheckBox("Absolute") + self._show_distance_cb = QCheckBox("Total distance") + self._show_table_cb = QCheckBox("Table") + + self._show_summary_cb.setChecked(True) + self._show_delta_cb.setChecked(True) + self._show_absolute_cb.setChecked(False) + self._show_distance_cb.setChecked(False) + self._show_table_cb.setChecked(False) + + self._units_combo = QComboBox() + self._units_combo.addItems(["mm", "µm"]) + self._units_combo.setCurrentText("mm") + self._units_combo.setMaximumWidth(90) + + self._export_btn = QPushButton("Export table CSV") + self._export_btn.clicked.connect(self._export_table_csv) + + display_group = QGroupBox("Display") + display_layout = QHBoxLayout(display_group) + display_layout.setContentsMargins(8, 6, 8, 6) + display_layout.setSpacing(10) + display_layout.addWidget(self._show_summary_cb) + display_layout.addWidget(self._show_delta_cb) + display_layout.addWidget(self._show_absolute_cb) + display_layout.addWidget(self._show_distance_cb) + display_layout.addWidget(self._show_table_cb) + display_layout.addStretch() + display_layout.addWidget(QLabel("Units:")) + display_layout.addWidget(self._units_combo) + display_layout.addWidget(self._export_btn) + + self._summary_group = QGroupBox("Summary") + summary_layout = QFormLayout(self._summary_group) + summary_layout.setContentsMargins(8, 6, 8, 6) + summary_layout.setSpacing(6) + summary_layout.addRow("Status:", self._status) + summary_layout.addRow("Position:", self._summary) + summary_layout.addRow("Metrics:", self._metrics) + + self._figure = Figure(figsize=(7, 7)) + self._canvas = FigureCanvas(self._figure) + + self._table = QTableWidget(self) + self._table.setColumnCount(8) + self._table.setHorizontalHeaderLabels( + ["Point", "Event", "Sample", "X", "Y", "Z", "Distance", "Length"] + ) + self._table.verticalHeader().setVisible(False) + self._table.setAlternatingRowColors(True) + self._table.setVisible(False) + + layout = QVBoxLayout(self) + layout.setContentsMargins(6, 6, 6, 6) + layout.setSpacing(8) + layout.addWidget(display_group) + layout.addWidget(self._summary_group) + layout.addWidget(self._canvas) + layout.addWidget(self._table) + + self._show_summary_cb.toggled.connect(self._on_controls_changed) + self._show_delta_cb.toggled.connect(self._on_controls_changed) + self._show_absolute_cb.toggled.connect(self._on_controls_changed) + self._show_distance_cb.toggled.connect(self._on_controls_changed) + self._show_table_cb.toggled.connect(self._on_controls_changed) + self._units_combo.currentTextChanged.connect(lambda _text: self._on_controls_changed()) + + self._load_settings() + + self._timer = QTimer(self) + self._timer.setInterval(1000) + self._timer.timeout.connect(self.refresh_plot) + self._timer.start() + + self._apply_visibility_settings() + self.refresh_plot(force=True) + + def refresh_plot(self, force: bool = False) -> None: + csv_path = self._resolve_csv_path() + + if csv_path is None or not csv_path.exists(): + self._active_csv_path = None + self._last_mtime_ns = None + self._last_rows = [] + self._last_distances = [] + self._last_lengths = [] + self._status.setText( + "No trace file found. Tried: " + + ", ".join(str(p) for p in self._candidate_paths()) + ) + self._summary.setText( + f"Home position: " + f"X={self.HOME_X_MM:.3f} mm, " + f"Y={self.HOME_Y_MM:.3f} mm, " + f"Z={self.HOME_Z_MM:.3f} mm" + ) + self._metrics.setText("Latest metrics: distance=n/a | length=n/a") + self._draw_empty("No smargon trace file found yet") + self._clear_table() + return + + try: + stat = csv_path.stat() + if ( + not force + and self._active_csv_path == csv_path + and self._last_mtime_ns == stat.st_mtime_ns + ): + return + + self._active_csv_path = csv_path + self._last_mtime_ns = stat.st_mtime_ns + + rows = self._read_rows(csv_path) + if not rows: + self._last_rows = [] + self._last_distances = [] + self._last_lengths = [] + self._status.setText(f"Trace file is empty: {csv_path}") + self._summary.setText( + f"Home position: " + f"X={self.HOME_X_MM:.3f} mm, " + f"Y={self.HOME_Y_MM:.3f} mm, " + f"Z={self.HOME_Z_MM:.3f} mm" + ) + self._metrics.setText("Latest metrics: distance=n/a | length=n/a") + self._draw_empty("Smargon trace file is empty") + self._clear_table() + return + + unit_name, unit_scale = self._unit_settings() + + x = list(range(1, len(rows) + 1)) + + shx_mm = [row["shx_mm"] for row in rows] + shy_mm = [row["shy_mm"] for row in rows] + shz_mm = [row["shz_mm"] for row in rows] + + dx_mm = [value - self.HOME_X_MM for value in shx_mm] + dy_mm = [value - self.HOME_Y_MM for value in shy_mm] + dz_mm = [value - self.HOME_Z_MM for value in shz_mm] + + shx = [value * unit_scale for value in shx_mm] + shy = [value * unit_scale for value in shy_mm] + shz = [value * unit_scale for value in shz_mm] + + dx = [value * unit_scale for value in dx_mm] + dy = [value * unit_scale for value in dy_mm] + dz = [value * unit_scale for value in dz_mm] + + distances_mm = [ + sqrt(dx0**2 + dy0**2 + dz0**2) + for dx0, dy0, dz0 in zip(dx_mm, dy_mm, dz_mm) + ] + distances = [value * unit_scale for value in distances_mm] + + lengths_mm = [self._projected_length_mm(row) for row in rows] + lengths = [value * unit_scale for value in lengths_mm] + + self._last_rows = rows + self._last_distances = distances + self._last_lengths = lengths + + self._redraw_plots( + x=x, + shx=shx, + shy=shy, + shz=shz, + dx=dx, + dy=dy, + dz=dz, + distances=distances, + unit_name=unit_name, + ) + + last = rows[-1] + last_dx_mm = dx_mm[-1] + last_dy_mm = dy_mm[-1] + last_dz_mm = dz_mm[-1] + + distance_value = distances[-1] + length_value = lengths[-1] + + self._status.setText( + f"Loaded {len(rows)} points from {csv_path} | " + f"last event={last['event']} | " + f"sample_id={last['sample_id']}" + ) + self._summary.setText( + f"Home: X={self.HOME_X_MM * unit_scale:.3f}, " + f"Y={self.HOME_Y_MM * unit_scale:.3f}, " + f"Z={self.HOME_Z_MM * unit_scale:.3f} {unit_name} | " + f"Latest: X={last['shx_mm'] * unit_scale:.5f}, " + f"Y={last['shy_mm'] * unit_scale:.5f}, " + f"Z={last['shz_mm'] * unit_scale:.5f} {unit_name} | " + f"Δ: X={last_dx_mm * unit_scale:+.5f}, " + f"Y={last_dy_mm * unit_scale:+.5f}, " + f"Z={last_dz_mm * unit_scale:+.5f} {unit_name}" + ) + self._metrics.setText( + f"distance={distance_value:.5f} {unit_name} | " + f"length={length_value:.5f} {unit_name} (beamline-plane projected)" + ) + + self._populate_table( + rows=rows, + distances=distances, + lengths=lengths, + unit_name=unit_name, + unit_scale=unit_scale, + ) + + except Exception as e: + self._last_rows = [] + self._last_distances = [] + self._last_lengths = [] + self._status.setText(f"Failed to load trace from {csv_path}: {e}") + self._summary.setText( + f"Home position: " + f"X={self.HOME_X_MM:.3f} mm, " + f"Y={self.HOME_Y_MM:.3f} mm, " + f"Z={self.HOME_Z_MM:.3f} mm" + ) + self._metrics.setText("Latest metrics: distance=n/a | length=n/a") + self._draw_empty("Failed to parse smargon trace") + self._clear_table() + + def showEvent(self, event) -> None: + super().showEvent(event) + self.refresh_plot(force=True) + + def _on_controls_changed(self) -> None: + self._save_settings() + self._apply_visibility_settings() + + def _load_settings(self) -> None: + settings = QSettings() + settings.beginGroup(self.SETTINGS_GROUP) + self._show_summary_cb.setChecked(settings.value("show_summary", True, type=bool)) + self._show_delta_cb.setChecked(settings.value("show_delta", True, type=bool)) + self._show_absolute_cb.setChecked(settings.value("show_absolute", False, type=bool)) + self._show_distance_cb.setChecked(settings.value("show_distance", False, type=bool)) + self._show_table_cb.setChecked(settings.value("show_table", False, type=bool)) + self._units_combo.setCurrentText(settings.value("units", "mm", type=str)) + settings.endGroup() + + def _save_settings(self) -> None: + settings = QSettings() + settings.beginGroup(self.SETTINGS_GROUP) + settings.setValue("show_summary", self._show_summary_cb.isChecked()) + settings.setValue("show_delta", self._show_delta_cb.isChecked()) + settings.setValue("show_absolute", self._show_absolute_cb.isChecked()) + settings.setValue("show_distance", self._show_distance_cb.isChecked()) + settings.setValue("show_table", self._show_table_cb.isChecked()) + settings.setValue("units", self._units_combo.currentText()) + settings.endGroup() + + def _apply_visibility_settings(self) -> None: + if not ( + self._show_delta_cb.isChecked() + or self._show_absolute_cb.isChecked() + or self._show_distance_cb.isChecked() + ): + self._show_delta_cb.blockSignals(True) + self._show_delta_cb.setChecked(True) + self._show_delta_cb.blockSignals(False) + + self._summary_group.setVisible(self._show_summary_cb.isChecked()) + self._table.setVisible(self._show_table_cb.isChecked()) + self.refresh_plot(force=True) + + def _export_table_csv(self) -> None: + if not self._last_rows: + return + + unit_name, unit_scale = self._unit_settings() + file_path, _ = QFileDialog.getSaveFileName( + self, + "Export Smargon Trace Table", + "smargon_trace_export.csv", + "CSV Files (*.csv)", + ) + if not file_path: + return + + with open(file_path, "w", encoding="utf-8", newline="") as f: + writer = csv.writer(f) + writer.writerow([ + "point", + "timestamp", + "event", + "sample_id", + f"shx_{unit_name}", + f"shy_{unit_name}", + f"shz_{unit_name}", + f"distance_{unit_name}", + f"length_{unit_name}", + "omega_deg", + "phi_deg", + "chi_deg", + ]) + + for idx, (row, distance_value, length_value) in enumerate( + zip(self._last_rows, self._last_distances, self._last_lengths), + start=1, + ): + writer.writerow([ + idx, + row["timestamp"], + row["event"], + row["sample_id"], + float(row["shx_mm"]) * unit_scale, + float(row["shy_mm"]) * unit_scale, + float(row["shz_mm"]) * unit_scale, + distance_value, + length_value, + row["omega_deg"], + row["phi_deg"], + row["chi_deg"], + ]) + + def _redraw_plots( + self, + *, + x: list[int], + shx: list[float], + shy: list[float], + shz: list[float], + dx: list[float], + dy: list[float], + dz: list[float], + distances: list[float], + unit_name: str, + ) -> None: + self._figure.clear() + + enabled = [] + if self._show_delta_cb.isChecked(): + enabled.append("delta") + if self._show_absolute_cb.isChecked(): + enabled.append("absolute") + if self._show_distance_cb.isChecked(): + enabled.append("distance") + + axes = self._figure.subplots(len(enabled), 1, squeeze=False) + axes_list = [row[0] for row in axes] + + for ax, plot_name in zip(axes_list, enabled): + if plot_name == "delta": + ax.plot(x, dx, marker="o", color=self.COLOR_X, label=f"ΔSHX [{unit_name}]") + ax.plot(x, dy, marker="o", color=self.COLOR_Y, label=f"ΔSHY [{unit_name}]") + ax.plot(x, dz, marker="o", color=self.COLOR_Z, label=f"ΔSHZ [{unit_name}]") + ax.axhline(0.0, color="black", linewidth=1.0, alpha=0.5) + ax.set_title("Smargon displacement from home") + ax.set_ylabel(f"Δ position [{unit_name}]") + ax.grid(True, alpha=0.3) + ax.legend(loc="best") + + elif plot_name == "absolute": + ax.plot(x, shx, marker="o", color=self.COLOR_X, label=f"SHX [{unit_name}]") + ax.plot(x, shy, marker="o", color=self.COLOR_Y, label=f"SHY [{unit_name}]") + ax.plot(x, shz, marker="o", color=self.COLOR_Z, label=f"SHZ [{unit_name}]") + ax.set_title("Smargon absolute position") + ax.set_ylabel(f"Position [{unit_name}]") + ax.grid(True, alpha=0.3) + ax.legend(loc="best") + + elif plot_name == "distance": + ax.plot(x, distances, marker="o", color=self.COLOR_DISTANCE, label=f"Total distance [{unit_name}]") + ax.set_title("Total distance from home") + ax.set_ylabel(f"Distance [{unit_name}]") + ax.grid(True, alpha=0.3) + ax.legend(loc="best") + + ax.set_xlabel("Trace point") + + self._figure.tight_layout() + self._canvas.draw_idle() + + def _populate_table( + self, + *, + rows: list[dict[str, object]], + distances: list[float], + lengths: list[float], + unit_name: str, + unit_scale: float, + ) -> None: + recent_rows = rows[-self.TABLE_MAX_ROWS:] + recent_distances = distances[-self.TABLE_MAX_ROWS:] + recent_lengths = lengths[-self.TABLE_MAX_ROWS:] + + self._table.setRowCount(len(recent_rows)) + self._table.setHorizontalHeaderLabels( + [ + "Point", + "Event", + "Sample", + f"X [{unit_name}]", + f"Y [{unit_name}]", + f"Z [{unit_name}]", + f"Distance [{unit_name}]", + f"Length [{unit_name}]", + ] + ) + + start_idx = len(rows) - len(recent_rows) + 1 + for row_idx, (row, distance_value, length_value) in enumerate( + zip(recent_rows, recent_distances, recent_lengths) + ): + values = [ + str(start_idx + row_idx), + str(row["event"]), + str(row["sample_id"]), + f"{float(row['shx_mm']) * unit_scale:.5f}", + f"{float(row['shy_mm']) * unit_scale:.5f}", + f"{float(row['shz_mm']) * unit_scale:.5f}", + f"{distance_value:.5f}", + f"{length_value:.5f}", + ] + for col_idx, value in enumerate(values): + item = QTableWidgetItem(value) + item.setTextAlignment(Qt.AlignmentFlag.AlignCenter) + self._table.setItem(row_idx, col_idx, item) + + self._table.resizeColumnsToContents() + + def _clear_table(self) -> None: + self._table.setRowCount(0) + + def _unit_settings(self) -> tuple[str, float]: + if self._units_combo.currentText() == "µm": + return "µm", 1000.0 + return "mm", 1.0 + + def _candidate_paths(self) -> list[Path]: + here = Path(__file__).resolve() + project_root = here.parents[4] + + candidates = [ + Path.cwd() / self._csv_path, + project_root / self._csv_path, + project_root / "src" / "aare" / "daq" / "logs" / "smargon_trace.csv", + project_root / "src" / "aare" / "gui" / "logs" / "smargon_trace.csv", + ] + + out: list[Path] = [] + seen: set[str] = set() + for path in candidates: + key = str(path.resolve()) if path.exists() else str(path) + if key not in seen: + out.append(path) + seen.add(key) + return out + + def _resolve_csv_path(self) -> Path | None: + existing = [p for p in self._candidate_paths() if p.exists()] + if not existing: + return None + return max(existing, key=lambda p: p.stat().st_mtime_ns) + + def _read_rows(self, csv_path: Path) -> list[dict[str, object]]: + rows: list[dict[str, object]] = [] + + with csv_path.open("r", encoding="utf-8", newline="") as f: + reader = csv.DictReader(f) + for row in reader: + try: + rows.append( + { + "timestamp": row.get("timestamp", row.get("ts", "")), + "event": row.get("event", ""), + "sample_id": row.get("sample_id", ""), + "omega_deg": float(row.get("omega_deg", "nan")), + "zoom": float(row.get("zoom", "nan")), + "shx_mm": float(row.get("shx_mm", "nan")), + "shy_mm": float(row.get("shy_mm", "nan")), + "shz_mm": float(row.get("shz_mm", "nan")), + "phi_deg": float(row.get("phi_deg", "nan")), + "chi_deg": float(row.get("chi_deg", "nan")), + } + ) + except (TypeError, ValueError): + continue + + return rows + + def _projected_length_mm(self, row: dict[str, object]) -> float: + rel = np.array( + [ + float(row["shx_mm"]) - self.HOME_X_MM, + float(row["shy_mm"]) - self.HOME_Y_MM, + float(row["shz_mm"]) - self.HOME_Z_MM, + ], + dtype=float, + ) + + vec_x = self._smargon_nudge_basis( + axis="x", + omega_deg=float(row["omega_deg"]), + phi_deg=float(row["phi_deg"]), + chi_deg=float(row["chi_deg"]), + ) + vec_y = self._smargon_nudge_basis( + axis="y", + omega_deg=float(row["omega_deg"]), + phi_deg=float(row["phi_deg"]), + chi_deg=float(row["chi_deg"]), + ) + + beam_x = float(np.dot(rel, vec_x)) + beam_y = float(np.dot(rel, vec_y)) + + return sqrt(beam_x**2 + beam_y**2) + + def _smargon_nudge_basis( + self, + *, + axis: str, + omega_deg: float, + phi_deg: float, + chi_deg: float, + ) -> np.ndarray: + phi = np.radians(np.around(phi_deg, decimals=1)) + chi = np.radians(np.around(chi_deg, decimals=1)) + omega = np.radians(np.around(omega_deg, decimals=1)) + + if axis == "x": + coord_x, coord_y, coord_z = 1.0, 0.0, 0.0 + elif axis == "y": + coord_x, coord_y, coord_z = 0.0, 1.0, 0.0 + else: + raise ValueError(f"Unsupported axis: {axis}") + + co = np.cos(omega) + so = np.sin(omega) + cp = np.cos(phi) + sp = np.sin(phi) + cc = np.cos(chi) + sc = np.sin(chi) + + offset_x = ( + -coord_z * co * sp + - coord_y * so * sp + + coord_x * cp * sc + - coord_y * co * cc * cp + + coord_z * so * cc * cp + ) + offset_y = ( + -coord_z * co * cp + - coord_y * so * cp + - coord_x * sc * sp + + coord_y * co * cc * sp + - coord_z * so * cc * sp + ) + offset_z = -coord_x * cc - coord_y * co * sc + coord_z * so * sc + + vec = np.array([offset_x, offset_y, offset_z], dtype=float) + norm = np.linalg.norm(vec) + + if norm == 0.0: + return np.array([0.0, 0.0, 0.0], dtype=float) + + return vec / norm + + def _draw_empty(self, message: str) -> None: + self._figure.clear() + ax = self._figure.add_subplot(111) + ax.set_title("Smargon trace") + ax.text(0.5, 0.5, message, ha="center", va="center", transform=ax.transAxes) + ax.set_xticks([]) + ax.set_yticks([]) + self._figure.tight_layout() + self._canvas.draw_idle() \ No newline at end of file diff --git a/src/aare/gui/threads/camera_thread.py b/src/aare/gui/threads/camera_thread.py index b5d16b5a..aba490d3 100644 --- a/src/aare/gui/threads/camera_thread.py +++ b/src/aare/gui/threads/camera_thread.py @@ -67,7 +67,7 @@ class SampleCameraThread(QThread): self.__fps_window_start = now self.__fps_frame_count = 0 - if len(r) != 2: + if len(r) < 2: continue data = r[-1] @@ -82,31 +82,25 @@ class SampleCameraThread(QThread): except: continue - #meta, data = r - #header = json.loads(meta) - #header_shape = header["shape"] - if header and header.get("type") == "uint8":# and len(header_shape) == 2: - header_shape = header["shape"] - bayer_image = np.frombuffer(data, dtype=np.uint8) - bayer_image = bayer_image.reshape(header_shape) - rgb_image = cv2.cvtColor(bayer_image, cv2.COLOR_BAYER_GB2RGB) - #cv2.COLOR_BAYER_GB2RGB for ethernet connection - rgb_image = rgb_image[:, ::-1, :].copy() + if header and header.get("type") == "uint8": + h, w = header["shape"][:2] + raw = np.frombuffer(data, np.uint8).reshape((h, w)) + + rgb = cv2.cvtColor(raw, cv2.COLOR_BAYER_GB2RGB) # choose correct Bayer order + #rgb = cv2.flip(rgb, 0) + if self.__measure_focus: - gray = cv2.cvtColor(rgb_image, cv2.COLOR_RGB2GRAY) + gray = cv2.cvtColor(rgb, cv2.COLOR_RGB2GRAY) if self.__focus_mask is None or self.__focus_mask.shape != gray.shape: height, width = gray.shape y, x = np.ogrid[:height, :width] - self.__focus_mask = (x - self.__beam_x) ** 2 + (y - self.__beam_y) ** 2 <= self.__radius ** 2 + self.__focus_mask = (x - self.__beam_x) ** 2 + ( + y - self.__beam_y) ** 2 <= self.__radius ** 2 sharpness = focus_measure_edges(gray, self.__focus_mask) - # print(f"GUI: mask pixels: {self.__focus_mask.sum()}, " - # f"center=({self.__beam_x:.1f}, {self.__beam_y:.1f}), " - # f"radius={self.__radius}, " - # f"focus={sharpness:.2f}") self.focus_measure.emit(sharpness) - qimage = QImage(rgb_image.data, header_shape[1], header_shape[0], QImage.Format.Format_RGB888) + qimage = QImage(rgb.data, rgb.shape[1], rgb.shape[0], QImage.Format.Format_RGB888).copy() self.camera_image.emit(QPixmap.fromImage(qimage)) else: print("Sample camera image has wrong dimensions") diff --git a/src/aare/gui/threads/prediction_subscriber.py b/src/aare/gui/threads/prediction_subscriber.py index 1142435d..2c1de0a7 100644 --- a/src/aare/gui/threads/prediction_subscriber.py +++ b/src/aare/gui/threads/prediction_subscriber.py @@ -8,6 +8,9 @@ from PySide6.QtGui import QImage, QPixmap # If you need Bayer conversion like your SampleCameraThread did: import cv2 +from aare.common.logger_config import setup_logger + +logger = setup_logger("aareGUI") class PredictionSubscriber(QThread): # emits parsed JSON payload (dict with keys: time, frame_id, shape, boxes) @@ -20,12 +23,16 @@ class PredictionSubscriber(QThread): super().__init__(parent) self._ctx = zmq.Context() self._sock = self._ctx.socket(zmq.SUB) + self._sock.setsockopt(zmq.RCVTIMEO, 500) + self._sock.setsockopt(zmq.LINGER, 0) + if isinstance(topic, str): self._sock.setsockopt_string(zmq.SUBSCRIBE, topic) elif isinstance(topic, bytes): self._sock.setsockopt(zmq.SUBSCRIBE, topic) else: self._sock.setsockopt(zmq.SUBSCRIBE, b"") + self._sock.connect(pred_zmq_url) self.running = True @@ -65,23 +72,23 @@ class PredictionSubscriber(QThread): else: return None - # If you still need the horizontal flip you had before: - rgb = rgb[:, ::-1, :].copy() - - qimage = QImage(rgb.data, rgb.shape[1], rgb.shape[0], QImage.Format.Format_RGB888) + qimage = QImage(rgb.data, rgb.shape[1], rgb.shape[0], QImage.Format.Format_RGB888).copy() return QPixmap.fromImage(qimage) def run(self): - while self.running: - try: - parts = self._sock.recv_multipart() + try: + while self.running: + try: + parts = self._sock.recv_multipart() + except zmq.Again: + continue + if not parts: continue json_dicts: list[dict] = [] non_json_parts: list[bytes] = [] - # Parse all parts; keep non-JSON as candidates for image bytes for p in parts: d = self._try_parse_json(p) if d is not None: @@ -89,26 +96,51 @@ class PredictionSubscriber(QThread): else: non_json_parts.append(p) - header = next((d for d in json_dicts if "shape" in d and d.get("type") == "uint8"), None) + header = next( + (d for d in json_dicts if "shape" in d and d.get("type") == "uint8"), + None, + ) detections = next((d for d in json_dicts if "boxes" in d), None) - # Heuristic: image payload is usually the largest non-JSON part image_bytes = max(non_json_parts, key=len) if non_json_parts else None if header and image_bytes: pix = self._decode_image(header, image_bytes) - if pix is not None: + if pix is not None and self.running: self.image.emit(pix) - if detections: + if detections and self.running: self.prediction.emit(detections) - except Exception as e: - logger.error("PredictionSubscriber error:", e) - break + except Exception as e: + if self.running: + logger.exception(f"PredictionSubscriber error: {e}") + finally: + try: + if self._sock is not None: + self._sock.close(0) + except Exception: + pass + finally: + self._sock = None + + try: + if self._ctx is not None: + self._ctx.term() + except Exception: + pass + finally: + self._ctx = None def stop(self): self.running = False - self._sock.close() - self.quit() - self.wait() \ No newline at end of file + self.requestInterruption() + + try: + if self._sock is not None: + self._sock.close(0) + except Exception: + pass + + if not self.wait(1500): + logger.warning("PredictionSubscriber did not stop within timeout") \ No newline at end of file diff --git a/src/aare/gui/tutorials/controls_help_dialog.py b/src/aare/gui/tutorials/controls_help_dialog.py new file mode 100644 index 00000000..88e8c731 --- /dev/null +++ b/src/aare/gui/tutorials/controls_help_dialog.py @@ -0,0 +1,156 @@ +from PySide6.QtCore import Qt +from PySide6.QtWidgets import ( + QDialog, + QVBoxLayout, + QTextEdit, + QDialogButtonBox, + QTabWidget, + QWidget, +) + + +class ControlsHelpDialog(QDialog): + def __init__(self, parent=None): + super().__init__(parent) + + self.setWindowTitle("Mouse / Keyboard Controls") + self.setMinimumSize(760, 560) + + layout = QVBoxLayout(self) + + self._tabs = QTabWidget(self) + self._tabs.addTab( + self._create_tab( + """ +

    Sample Camera

    + +

    Mouse Wheel

    +
      +
    • Mouse wheel: rotate omega by 90°
      • +
    • Shift + Mouse wheel: rotate omega by 10°
      • +
    • Ctrl + Mouse wheel: change sample camera exposure by a large step
      • +
    • Alt + Mouse wheel: change sample camera exposure by a small step
      • +
    + +

    Mouse Click / Drag

    +
      +
    • Left click: move sample to clicked position
      • +
    • Shift + Left click: move using the special Z-alignment click behaviour
      • +
    • Left drag on active raster grid: move active raster grid
      • +
    • Right click: open sample camera context menu
      • +
    • Right drag on empty area: draw raster grid
      • +
    • Right drag on active raster grid: resize raster grid
      • +
    + +

    Mouse Move

    +
      +
    • Shift + Mouse move: inspect/load raster image under cursor
      • +
    • Mouse move: show completed-grid tooltip or coordinates, depending on mode
      • +
    + +

    Beam Mark Mode

    +
      +
    • Shift + Left click: set beam mark at clicked position
      • +
    • Mouse wheel: change exposure by a large step
      • +
    • Alt + Mouse wheel: change exposure by a small step
      • +
    + """ + ), + "Sample Camera", + ) + self._tabs.addTab( + self._create_tab( + """ +

    Sample Camera Context Menu

    +
      +
    • Scale to fit
      • +
    • Show coordinates
      • +
    • Grab
      • +
    • Grab with overlay
      • +
    • Auto-focus
      • +
    • Mark beam center
      • +
    • Delete grid (when on active grid)
      • +
    • Evaluate grid (when on active grid)
      • +
    • Delete completed grids
      • +
    + +

    Notes

    +
      +
    • Some actions appear only when the cursor is over the active raster grid.
      • +
    • Grid actions depend on the current sample camera state and current raster visibility.
      • +
    + """ + ), + "Context Menu", + ) + self._tabs.addTab( + self._create_tab( + """ +

    Video Views

    +

    Applies to gonio camera, beamline view, and combined beamline views.

    + +

    Mouse

    +
      +
    • Ctrl + Mouse wheel: zoom in/out
      • +
    • Mouse wheel: normal scrolling when Ctrl is not pressed
      • +
    • Mouse drag: rubber-band drag/selection behaviour is enabled
      • +
    + +

    Keyboard

    +
      +
    • F: fit to view
      • +
    • R: reset zoom
      • +
    • + or =: zoom in
      • +
    • -: zoom out
      • +
    + """ + ), + "Video Views", + ) + self._tabs.addTab( + self._create_tab( + """ +

    Other Interactive Areas

    + +

    Sample Queue

    +
      +
    • Delete: remove selected samples from the queue
      • +
    + +

    Fluorescence Plot

    +
      +
    • Mouse move: show energy/count tooltip and vertical marker line
      • +
    • Right click: save spectrum as CSV
      • +
    + +

    General Widgets

    +
      +
    • Left click on clickable labels/value labels: trigger the widget's click action
      • +
    + +

    Notes

    +
      +
    • Some wheel interactions are intentionally disabled in certain scroll areas to prevent accidental scrolling.
      • +
    • Available actions can depend on beamline state, current mode, and widget focus.
      • +
    + """ + ), + "Other Panels", + ) + layout.addWidget(self._tabs) + + buttons = QDialogButtonBox(QDialogButtonBox.StandardButton.Close, parent=self) + buttons.rejected.connect(self.reject) + buttons.accepted.connect(self.accept) + layout.addWidget(buttons) + + def _create_tab(self, html: str) -> QWidget: + text = QTextEdit(self) + text.setReadOnly(True) + text.setLineWrapMode(QTextEdit.LineWrapMode.WidgetWidth) + text.setTextInteractionFlags( + Qt.TextInteractionFlag.TextSelectableByMouse + | Qt.TextInteractionFlag.TextSelectableByKeyboard + ) + text.setHtml(html) + return text diff --git a/src/aare/gui/widgets/camera_image.py b/src/aare/gui/widgets/camera_image.py index eefdcf24..900681e3 100644 --- a/src/aare/gui/widgets/camera_image.py +++ b/src/aare/gui/widgets/camera_image.py @@ -10,7 +10,7 @@ from PySide6.QtGui import ( QWheelEvent, QTransform, QCursor, - QLinearGradient, QFont, QFontMetrics, + QLinearGradient, QFont, QFontMetrics, QPolygonF, ) from PySide6.QtWidgets import ( QMenu, @@ -526,6 +526,7 @@ class SampleCameraImageLabel(QGraphicsView): y1 = det['y1'] * sy x2 = det['x2'] * sx y2 = det['y2'] * sy + poly = det.get('poly', None) label = str(det.get('label', '')).lower() conf = det.get('conf', 0.0) except Exception as e: @@ -540,6 +541,12 @@ class SampleCameraImageLabel(QGraphicsView): painter.setBrush(Qt.BrushStyle.NoBrush) detection_rect = QRect(int(x1), int(y1), int(max(1, x2 - x1)), int(max(1, y2 - y1))) painter.drawRect(detection_rect) + if poly and len(poly) >= 3: + polygon = QPolygonF([ + QPointF(x1 + float(p[0]) * sx, y1 + float(p[1]) * sy) + for p in poly + ]) + painter.drawPolygon(polygon) # Draw label text with white text on colored background painter.setPen(QPen(QColor(255, 255, 255), 1)) From c9b18d0be985a535ce979645a08a7f958a92142b Mon Sep 17 00:00:00 2001 From: appleb_m Date: Mon, 9 Mar 2026 17:09:45 +0100 Subject: [PATCH 123/144] DAQ: updated smargon home pos --- src/aare/devices/smargon.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/aare/devices/smargon.py b/src/aare/devices/smargon.py index 58b2c5a4..9a7951d3 100644 --- a/src/aare/devices/smargon.py +++ b/src/aare/devices/smargon.py @@ -19,7 +19,7 @@ class Smargon(object): SMARGON_HOME = SmargonCoordinate( sh_mm=Coordinate(x=0, y=0, z=18), phi_deg=0, chi_deg=0 ) - AERO_HOME = AerotechCoordinate(x=18, y=0, z=0, omega=0) + AERO_HOME = AerotechCoordinate(x=0, y=0, z=0, omega=0) def __init__(self, bl: MXBeamline): if bl == MXBeamline.X06DA: @@ -227,7 +227,7 @@ if __name__ == "__main__": x = smargon.readback_aerotech print(x) y = smargon.target_aerotech - smargon.target_aerotech = AerotechCoordinate(at_mm=Coordinate(x=18, y=0, z=0)) + smargon.target_aerotech = AerotechCoordinate(at_mm=Coordinate(x=0, y=0, z=0)) print(y) smargon.wait_aerotech() print(f"aerotech reached {smargon.readback_aerotech}") From db913571f596717788f2e1c7cf825e2622efaa80 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Mon, 9 Mar 2026 17:10:56 +0100 Subject: [PATCH 124/144] Sever and Daq worker: added new end poiints for the new panels and a screenshot button.Also added SSE for Face detection panel so it can update duering automation for comissioining purposes. --- src/aare/daq/server.py | 207 ++++++++++++++++++++++++++++- src/aare/gui/threads/daq_worker.py | 89 ++++++++++++- 2 files changed, 292 insertions(+), 4 deletions(-) diff --git a/src/aare/daq/server.py b/src/aare/daq/server.py index 84cc8591..e0a097ef 100644 --- a/src/aare/daq/server.py +++ b/src/aare/daq/server.py @@ -1,4 +1,5 @@ import asyncio +import hmac import io import os, time from typing import AsyncGenerator @@ -12,7 +13,7 @@ from aare.common.logger_config import setup_logger from aare.common.models import SampleShortInfo, DAQStatusModel, BeamlineStateEnum, BeamlineSettingsModel, \ SampleShortInfoList, SessionStatus, SampleCameraSettings, AutofocusSettings, TokenData, \ CryojetSettingsModel, SimpleScanParameters, CrystalSize, FluorescenceSpectrumParameterModel, \ - FluorescenceSpectrumOutputModel + FluorescenceSpectrumOutputModel, RecoveryActionRequest from aare.common.raster_grid import RasterGridRequest, CompletedRasterGrid from aare.common.rotation_scan import RotationScanRequest, CompletedRotationScan from aare.common.sample_geometry import SampleGeometryModel @@ -48,6 +49,67 @@ _all_pgroups_cache: dict[str, tuple[list[str], float]] = {} _ALL_PGROUPS_TTL_S = 60.0 # adjust TTL as needed logger = setup_logger("aareDAQ") +_face_detection_state: dict = { + "seq": 0, + "running": False, + "samples": [], + "height_fit": {}, + "area_fit": {}, +} +_face_detection_state_lock = asyncio.Lock() + +def _required_recovery_code() -> str: + code = os.getenv("AARE_RECOVERY_CODE", "").strip() + if not code: + logger.error("AARE_RECOVERY_CODE is not configured.") + raise HTTPException( + status_code=api_status.HTTP_503_SERVICE_UNAVAILABLE, + detail="Recovery confirmation code is not configured on the server.", + ) + return code + +def _validate_recovery_code(confirmation_code: str) -> None: + expected = _required_recovery_code() + provided = str(confirmation_code or "").strip() + if not hmac.compare_digest(provided, expected): + logger.warning("Invalid recovery confirmation code.") + raise HTTPException( + status_code=api_status.HTTP_403_FORBIDDEN, + detail="Invalid confirmation code.", + ) + +def _sample_is_mounted() -> bool: + try: + return daq.sample is not None + except Exception: + return False + +def _push_face_detection_progress(payload: dict) -> None: + global _face_detection_state + try: + next_seq = int(_face_detection_state.get("seq", 0)) + 1 + _face_detection_state = { + "seq": next_seq, + **payload, + } + except Exception as e: + logger.warning(f"Failed to update face detection progress: {e}") + + +async def face_detection_event_stream() -> AsyncGenerator[str, None]: + last_seq = -1 + try: + while True: + state = dict(_face_detection_state) + seq = int(state.get("seq", 0)) + if seq != last_seq: + last_seq = seq + yield f"data: {json.dumps(state, separators=(',', ':'))}\n\n" + await asyncio.sleep(0.15) + except asyncio.CancelledError: + return + +daq.set_face_detection_progress_callback(_push_face_detection_progress) @app.post("/token") async def login(form_data: OAuth2PasswordRequestForm = Depends()): @@ -382,6 +444,116 @@ async def beam_location(token: str = Depends(oauth2_scheme)): auth.check_jwt_staff(cfg, auth.parse_token(token)) daq.state = BeamlineStateEnum.BeamLocation +@app.post("/state/maintenance") +async def maintenance(token: str = Depends(oauth2_scheme)) -> str: + auth.check_jwt_staff(cfg, auth.parse_token(token)) + cfg.state = BeamlineStateEnum.Maintenance + logger.warning("Beamline state set to Maintenance via protected endpoint.") + return "OK" + +@app.post("/access/take_over_beamline") +async def take_over_beamline(payload: RecoveryActionRequest, token: str = Depends(oauth2_scheme)) -> str: + data = auth.parse_token(token) + auth.check_jwt_staff(cfg, data) + _validate_recovery_code(payload.confirmation_code) + auth.force_current_sesion(cfg, data) + logger.warning( + "Beamline session forcefully taken over.", + extra={"session": getattr(data, "session", None)}, + ) + return "OK" + +@app.post("/state/free_beamline") +async def free_beamline(payload: RecoveryActionRequest, token: str = Depends(oauth2_scheme)) -> str: + data = auth.parse_token(token) + auth.check_jwt_staff(cfg, data) + _validate_recovery_code(payload.confirmation_code) + cfg.state_busy = False + logger.warning( + "Beamline busy flag cleared via protected endpoint.", + extra={"session": getattr(data, "session", None)}, + ) + return "OK" + +@app.post("/recovery/recover_beamline") +async def recover_beamline(payload: RecoveryActionRequest, token: str = Depends(oauth2_scheme)) -> dict: + data = auth.parse_token(token) + auth.check_jwt_staff(cfg, data) + _validate_recovery_code(payload.confirmation_code) + + sample_mounted = _sample_is_mounted() + prev_state = cfg.state + prev_busy = cfg.state_busy + + auth.force_current_sesion(cfg, data) + cfg.state_busy = False + cfg.state = BeamlineStateEnum.Maintenance + + logger.warning( + "Beamline recovery action executed.", + extra={ + "session": getattr(data, "session", None), + "previous_state": getattr(prev_state, "name", str(prev_state)), + "previous_busy": prev_busy, + "sample_mounted": sample_mounted, + }, + ) + + return { + "ok": True, + "sample_mounted": sample_mounted, + "previous_state": getattr(prev_state, "name", str(prev_state)), + "previous_busy": prev_busy, + "new_state": BeamlineStateEnum.Maintenance.name, + } +@app.post("/recovery/unmount_sample") +async def recovery_unmount_sample(payload: RecoveryActionRequest, token: str = Depends(oauth2_scheme)) -> dict: + data = auth.parse_token(token) + auth.check_jwt_staff(cfg, data) + _validate_recovery_code(payload.confirmation_code) + + auth.force_current_sesion(cfg, data) + + if cfg.state_busy: + raise HTTPException( + status_code=api_status.HTTP_409_CONFLICT, + detail="Beamline is busy. Clear or recover the beamline before attempting recovery unmount.", + ) + + status = daq.status + if not getattr(status, "tell_connected", False): + raise HTTPException( + status_code=api_status.HTTP_409_CONFLICT, + detail=f"TELL is not connected: {getattr(status, 'tell_error', 'unknown error')}", + ) + + sample_mounted = _sample_is_mounted() + if not sample_mounted: + return { + "ok": True, + "sample_mounted": False, + "message": "No sample appears to be mounted.", + } + + prev_state = cfg.state + daq.recovery_unmount_sample() + + logger.warning( + "Recovery sample unmount executed.", + extra={ + "session": getattr(data, "session", None), + "previous_state": getattr(prev_state, "name", str(prev_state)), + }, + ) + + return { + "ok": True, + "sample_mounted": True, + "previous_state": getattr(prev_state, "name", str(prev_state)), + "new_state": getattr(cfg.state, "name", str(cfg.state)), + "message": "Recovery unmount completed.", + } + # Scans @app.post("/scan/raster") async def raster(val: RasterGridRequest, auto: bool = False, token: str = Depends(oauth2_scheme)) -> CompletedRasterGrid: @@ -436,14 +608,34 @@ async def alc_ml_bounding_box(token: str = Depends(oauth2_scheme)) -> RasterGrid auth.check_jwt_rw(cfg, auth.parse_token(token)) return daq.ml_bounding_box() - @app.post("/face_detection/run") async def face_detection_run(steps: int, step_size: int, token: str = Depends(oauth2_scheme)) -> dict: logger.debug(f"Face detection run: {steps} steps, {step_size} step size") auth.check_jwt_rw(cfg, auth.parse_token(token)) + _push_face_detection_progress({ + "running": True, + "status": "starting", + "samples": [], + "height_fit": {}, + "area_fit": {}, + }) result = daq.face_detection(steps=steps, step_size=step_size) return result +@app.get("/sse/face_detection") +async def sse_face_detection(token: str = Depends(oauth2_scheme)): + auth.check_jwt_ro(cfg, auth.parse_token(token)) + return StreamingResponse( + face_detection_event_stream(), + media_type="text/event-stream", + headers={ + "Cache-Control": "no-cache", + "Connection": "keep-alive", + "Access-Control-Allow-Origin": "*", + "Access-Control-Allow-Headers": "Cache-Control" + } + ) + # Access management @app.get("/access/pgroup") async def pgroup(token: str = Depends(oauth2_scheme)) -> str: @@ -627,6 +819,17 @@ async def sse_fluorimeter(token: str = Depends(oauth2_scheme)): } ) +@app.post("/samcam/send_screenshot_db") +async def send_screenshot_db( + filename: str | None = None, + message: str | None = None, + token: str = Depends(oauth2_scheme), +) -> str: + data = auth.parse_token(token) + auth.check_jwt_rw(cfg, data) + daq.send_screenshot_db(filename=filename, message=message) + return "OK" + LOGGING_CONFIG = { "version": 1, diff --git a/src/aare/gui/threads/daq_worker.py b/src/aare/gui/threads/daq_worker.py index 1cbccd4f..e688da5c 100644 --- a/src/aare/gui/threads/daq_worker.py +++ b/src/aare/gui/threads/daq_worker.py @@ -78,6 +78,11 @@ class DAQWorker(QObject): self._last_tell_connected: bool | None = None self._last_smargon_connected: bool | None = None + self._face_detection_stream_reply: QNetworkReply | None = None + + if self.__base_url is not None: + self.start_face_detection_stream() + def get_last_error_payload(self) -> dict: return dict(self._last_error_payload or {}) @@ -383,6 +388,34 @@ class DAQWorker(QObject): def beam_location(self): self.generic_post("state/beam_location") + @Slot(str) + def free_beamline(self, confirmation_code: str): + self.generic_post( + "state/free_beamline", + json.dumps({"confirmation_code": confirmation_code}), + ) + + @Slot(str) + def take_over_beamline(self, confirmation_code: str): + self.generic_post( + "access/take_over_beamline", + json.dumps({"confirmation_code": confirmation_code}), + ) + + @Slot(str) + def recover_beamline(self, confirmation_code: str): + self.generic_post( + "recovery/recover_beamline", + json.dumps({"confirmation_code": confirmation_code}), + ) + + @Slot(str) + def recovery_unmount_sample(self, confirmation_code: str): + self.generic_post( + "recovery/unmount_sample", + json.dumps({"confirmation_code": confirmation_code}), + ) + @Slot(str) def set_pgroup(self, val: str): if val == "": @@ -685,11 +718,43 @@ class DAQWorker(QObject): finally: reply.deleteLater() + def _read_face_detection_stream(self, reply: QNetworkReply): + try: + chunk = reply.readAll().data().decode("utf-8") + for line in chunk.splitlines(): + if line.startswith("data:"): + payload = line[5:].strip() + if payload: + data = json.loads(payload) + self.face_detection_result.emit(data) + except Exception as e: + logger.error(f"Face detection stream parse error: {e}") + + def _restart_face_detection_stream(self): + self._face_detection_stream_reply = None + if self.__base_url is not None: + QTimer.singleShot(1000, self.start_face_detection_stream) + + def start_face_detection_stream(self): + if self.__base_url is None: + return + + if self._face_detection_stream_reply is not None: + return + + request = QNetworkRequest(QUrl(f"{self.__base_url}/sse/face_detection")) + request.setRawHeader(b"Authorization", f"Bearer {self.__token}".encode("utf-8")) + reply = self.__net_manager.get(request) + reply.readyRead.connect(lambda: self._read_face_detection_stream(reply)) + reply.finished.connect(self._restart_face_detection_stream) + self._face_detection_stream_reply = reply + @Slot() - def face_detection(self, steps:int, step_size:int): + def face_detection(self, steps: int, step_size: int): if self.__base_url is None: logger.info(f"POST /face_detection/run?steps={steps}&step_size={step_size}") return + request = QNetworkRequest(QUrl(f"{self.__base_url}/face_detection/run?steps={steps}&step_size={step_size}")) request.setRawHeader(b"Authorization", f"Bearer {self.__token}".encode("utf-8")) request.setRawHeader(b"Content-Type", b"application/json") @@ -867,4 +932,24 @@ class DAQWorker(QObject): self.error_codes_loaded.emit(out) except Exception as e: logger.error(f"Failed to load error codes: {e}") - self.http_error.emit(str(e)) \ No newline at end of file + self.http_error.emit(str(e)) + + @Slot(str, str) + def send_screenshot_db(self, filename: str = "", message: str = ""): + if self.__base_url is None: + logger.info(f"POST /samcam/send_screenshot_db?filename={filename}&message={message}") + return + + from urllib.parse import quote + + query = [] + filename = filename.strip() + message = message.strip() + + if filename: + query.append(f"filename={quote(filename)}") + if message: + query.append(f"message={quote(message)}") + + suffix = f"?{'&'.join(query)}" if query else "" + self.generic_post(f"samcam/send_screenshot_db{suffix}") \ No newline at end of file From bed396284f4ae21e250bee11686f0c0a46f77c4b Mon Sep 17 00:00:00 2001 From: appleb_m Date: Mon, 9 Mar 2026 17:11:12 +0100 Subject: [PATCH 125/144] mx_lib: clean_filename function added. Maybe should be in common --- src/aare/devices/mx_lib.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/src/aare/devices/mx_lib.py b/src/aare/devices/mx_lib.py index 6e4a7498..1f40ed06 100644 --- a/src/aare/devices/mx_lib.py +++ b/src/aare/devices/mx_lib.py @@ -246,3 +246,10 @@ def wait_enum_condition(pv: PV, value: Union[str, int, re.Pattern], *, timeout: if time.time() > tout: raise TimeoutError(f"timeout waiting for enum {pv.pvname} == {value}," f"current value is {pv.get(as_string=True)}") + +def clean_filename(self, filename: str) -> str: + cleaned = re.sub(r"[^A-Za-z0-9._-]", "_", filename.strip()) + cleaned = cleaned.strip("._-") + if not cleaned: + raise ValueError("Filename is empty after sanitization.") + return cleaned \ No newline at end of file From 8f0188a24ead30396f71e33587dfe0379f35ecb5 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Mon, 9 Mar 2026 17:11:36 +0100 Subject: [PATCH 126/144] modelsL: added recovery action request class to take confirmation code for protected GUI controls --- src/aare/common/models.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/src/aare/common/models.py b/src/aare/common/models.py index 27955d96..dccb0136 100644 --- a/src/aare/common/models.py +++ b/src/aare/common/models.py @@ -783,4 +783,7 @@ class ScanResultPayloadModel(BaseModel): sample_id: int attach_image: bool = True beam_mark_pxl: tuple[float, float] - beam_size_mm: Annotated[Coordinate, AfterValidator(positive_coords)] \ No newline at end of file + beam_size_mm: Annotated[Coordinate, AfterValidator(positive_coords)] + +class RecoveryActionRequest(BaseModel): + confirmation_code: str \ No newline at end of file From 053bae75baf091e29e239ec8ee345da0a724ccfd Mon Sep 17 00:00:00 2001 From: appleb_m Date: Mon, 9 Mar 2026 17:12:03 +0100 Subject: [PATCH 127/144] sam_cam: updated EPIC PV --- src/aare/gui/sam_cam_test.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aare/gui/sam_cam_test.py b/src/aare/gui/sam_cam_test.py index 9ac4aaab..abe00a96 100644 --- a/src/aare/gui/sam_cam_test.py +++ b/src/aare/gui/sam_cam_test.py @@ -658,7 +658,7 @@ def benchmark_controller(devs, ) -sample_cam = epicsAD(f"{mx_beamline().name.upper()}-SAMCAM:") +sample_cam = epicsAD(f"{mx_beamline().name.upper()}-ES-MS:") devs = BeamlineDevices(mx_beamline()) metering = MeteringConfig(center_roi=0.7, bg_percentile=10.0, delta_dn=15, winsor_high=230) targets = TargetConfig(clip_limit=0.01, percentile=70.0, percentile_target=160.0) From 095347cb9d357ce229c2058ef9e18f799d113d80 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Mon, 9 Mar 2026 17:12:23 +0100 Subject: [PATCH 128/144] samcam GUI: added screenshot butotn and controls --- src/aare/gui/panels/samcam_panel.py | 32 ++++++++++++++++++++++++++++- 1 file changed, 31 insertions(+), 1 deletion(-) diff --git a/src/aare/gui/panels/samcam_panel.py b/src/aare/gui/panels/samcam_panel.py index 174f911d..d08a1df1 100644 --- a/src/aare/gui/panels/samcam_panel.py +++ b/src/aare/gui/panels/samcam_panel.py @@ -1,4 +1,5 @@ -from PySide6.QtWidgets import QWidget, QVBoxLayout, QHBoxLayout, QLabel, QDoubleSpinBox, QCheckBox +from PySide6.QtWidgets import QWidget, QVBoxLayout, QHBoxLayout, QLabel, QDoubleSpinBox, QCheckBox, QLineEdit, \ + QPushButton from PySide6.QtCore import Signal, Slot from aare.common.models import SampleCameraSettings, DAQStatusModel @@ -9,6 +10,7 @@ class SamcamPanel(QWidget): # Signals for when exposure or gain values change changed = Signal(SampleCameraSettings) show_detections_changed = Signal(bool) + screenshot_requested = Signal(str, str) old_settings = SampleCameraSettings(gain=100, exposure=0.001) def __init__(self, parent=None): @@ -44,6 +46,25 @@ class SamcamPanel(QWidget): gain_layout.addWidget(gain_label) gain_layout.addWidget(self.gain_spinbox) + screenshot_filename_layout = QHBoxLayout() + screenshot_filename_label = QLabel("Filename:") + self.screenshot_filename_edit = QLineEdit() + self.screenshot_filename_edit.setPlaceholderText("optional") + self.screenshot_filename_edit.setStyleSheet("QLineEdit { background-color: white; }") + screenshot_filename_layout.addWidget(screenshot_filename_label) + screenshot_filename_layout.addWidget(self.screenshot_filename_edit) + + screenshot_message_layout = QHBoxLayout() + screenshot_message_label = QLabel("Message:") + self.screenshot_message_edit = QLineEdit() + self.screenshot_message_edit.setPlaceholderText("optional") + self.screenshot_message_edit.setStyleSheet("QLineEdit { background-color: white; }") + screenshot_message_layout.addWidget(screenshot_message_label) + screenshot_message_layout.addWidget(self.screenshot_message_edit) + + self.screenshot_button = QPushButton("Take screenshot") + self.screenshot_button.clicked.connect(self.__request_screenshot) + # Show detections checkbox detections_layout = QHBoxLayout() self.show_detections_checkbox = QCheckBox("Show ML detections") @@ -54,6 +75,9 @@ class SamcamPanel(QWidget): # Add controls to main layout layout.addLayout(exposure_layout) layout.addLayout(gain_layout) + layout.addLayout(screenshot_filename_layout) + layout.addLayout(screenshot_message_layout) + layout.addWidget(self.screenshot_button) layout.addLayout(detections_layout) self.setLayout(layout) @@ -61,6 +85,12 @@ class SamcamPanel(QWidget): self.changed.emit(SampleCameraSettings(gain=self.gain_spinbox.value(), exposure=self.exposure_spinbox.value())) + def __request_screenshot(self): + self.screenshot_requested.emit( + self.screenshot_filename_edit.text(), + self.screenshot_message_edit.text(), + ) + @Slot(DAQStatusModel) def update_daq_status(self, s: DAQStatusModel): if self.old_settings != s.bl.sample_camera: From 80154d9d11155534cd1c2ed445a5a1d9846ad703 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Mon, 9 Mar 2026 17:13:03 +0100 Subject: [PATCH 129/144] DAQ: added screenshot to db from GUI, updates to face detection sequence, beamline recovery fucntions --- src/aare/daq/daq.py | 198 ++++++++++++++++++++++++++++++++++++-------- 1 file changed, 164 insertions(+), 34 deletions(-) diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index 8389860a..804ff5a5 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -5,7 +5,8 @@ import traceback from datetime import datetime from math import ceil -from typing import List, Tuple, Optional +from pathlib import Path +from typing import List, Tuple, Optional, Callable import cv2 import numpy as np @@ -35,6 +36,7 @@ from aare.common.rotation_scan import RotationScanRequest, CompletedRotationScan from aare.common.sample_geometry import SampleGeometryModel from aare.devices.area_detector import AutoEnum from aare.devices.jfjoch import JFJochWrapper +from aare.devices.mx_lib import clean_filename from aare.common.exception_handler import ( TransformationInvalidException, @@ -60,6 +62,52 @@ class AareDAQ: self.__bl = bl.value.upper() self.__aare = AareWrapper(bl) self.__saved_box = None + self._smargon_trace_path = Path("logs") / "smargon_trace.csv" + self._face_detection_progress_cb: Callable[[dict], None] | None = None + + def set_face_detection_progress_callback(self, cb: Callable[[dict], None] | None) -> None: + self._face_detection_progress_cb = cb + + def _emit_face_detection_progress(self, payload: dict) -> None: + if self._face_detection_progress_cb is None: + return + try: + self._face_detection_progress_cb(payload) + except Exception as e: + logger.warning(f"Failed to emit face detection progress: {e}") + + def _append_smargon_trace(self, *, sample_id: int | None, event: str) -> None: + try: + path = self._smargon_trace_path + path.parent.mkdir(parents=True, exist_ok=True) + + is_new_file = not path.exists() or path.stat().st_size == 0 + pos = self.smargon + sh = pos.sh_mm + + with path.open("a", encoding="utf-8", buffering=1) as f: + if is_new_file: + f.write( + "timestamp,event,sample_id,omega_deg,zoom," + "shx_mm,shy_mm,shz_mm,phi_deg,chi_deg\n" + ) + + f.write( + f"{datetime.now().isoformat(timespec='milliseconds')}," + f"{event}," + f"{'' if sample_id is None else sample_id}," + f"{self.omega:.3f}," + f"{self.zoom:.3f}," + f"{sh.x:.5f}," + f"{sh.y:.5f}," + f"{sh.z:.5f}," + f"{pos.phi_deg:.5f}," + f"{pos.chi_deg:.5f}\n" + ) + f.flush() + + except Exception as e: + logger.warning(f"Failed to append smargon trace: {e}") @property def state(self) -> BeamlineStateEnum: @@ -305,7 +353,22 @@ class AareDAQ: logger.info(f"Mount result: {value}") self.__cfg.current_sample = target #self.__mount_failure_handler(value) - + + def recovery_unmount_sample(self) -> None: + self.__cfg.try_set_busy(timeout=360) + try: + self.__set_state(BeamlineStateEnum.RobotSampleExchange) + self.__devs.tell.check_enable_motion() + self.__devs.tell.wait_not_busy() + self.__devs.tell.set_in_mount_position(True) + self.__devs.tell.unmount(wait=True, timeout=360.0) + self.__cfg.current_sample = None + self.__set_state(BeamlineStateEnum.SampleAlignment) + self.__cfg.state_busy = False + except Exception: + self.__cfg.state_busy = False + raise + @sample.setter def sample(self, target: SampleShortInfo | None): self.__cfg.try_set_busy(timeout=360) @@ -330,7 +393,7 @@ class AareDAQ: if target is not None: if target.db_id is not None: self.__aare.sample_mounted(target) - self.save_screenshot_db(target.db_id, "mounted") + self.save_screenshot_db(target.db_id, f"{target.bd_id}_mounted") @property @@ -843,10 +906,12 @@ class AareDAQ: except Exception as e: logger.error(f"error in face detection sequence {e}") result = { - "samples": None, - "height_fit": None, - "area_fit": None, + "running": False, + "samples": [], + "height_fit": {}, + "area_fit": {}, } + self._emit_face_detection_progress(result) self.__cfg.state_busy = False return result @@ -878,9 +943,6 @@ class AareDAQ: zoom_value = self.__devs.zoom logger.info('face detection sequence') - self.__devs.samcam_settings = SampleCameraSettings( - exposure=zoom_settings[zoom_value].exposure, - gain=zoom_settings[zoom_value].gain) self.__devs.set_zoom(zoom_value, wait=True) boxes: dict[int, tuple[float, float, float, float]] = {} @@ -897,11 +959,18 @@ class AareDAQ: curr_image = cv2.cvtColor(self.camera_image, cv2.COLOR_RGB2BGR) box_time = time.perf_counter() - m = self.__mlbox.predict(curr_image, filename=None, preferred_class = (3,0)) + m = self.__mlbox.predict(curr_image, filename=None, preferred_class=(3, 0)) logger.info(f"time to predict: {time.perf_counter() - box_time}") if not m or not m.box: logger.info(f"no box found for angle {angle}") + self._emit_face_detection_progress({ + "running": True, + "current_angle_deg": angle, + "samples": fd.get_samples_out(boxes), + "height_fit": {}, + "area_fit": {}, + }) continue cls_id = int(m.cls.value) @@ -915,13 +984,26 @@ class AareDAQ: else: logger.debug(f"ignoring class {cls_id} (pin/crystal) at angle {angle}") - if not boxes: - logger.info("no boxes found") - return {"samples": None, "height_fit": None, "area_fit": None} + self._emit_face_detection_progress({ + "running": True, + "current_angle_deg": angle, + "samples": fd.get_samples_out(boxes), + "height_fit": {}, + "area_fit": {}, + }) + + if not boxes: + logger.info("no boxes found") + result = {"running": False, "samples": [], "height_fit": {}, "area_fit": {}} + self._emit_face_detection_progress(result) + return result best_fit_angle_area, area_params = fd.get_flat_face(boxes, start_angle, end_angle, True) best_fit_angle_height, height_params = fd.get_flat_face(boxes, start_angle, end_angle, False) - fit_results = {"Area":{"angle":best_fit_angle_area, "params":area_params}, "Height": {"angle":best_fit_angle_height, "params":height_params}} + fit_results = { + "Area": {"angle": best_fit_angle_area, "params": area_params}, + "Height": {"angle": best_fit_angle_height, "params": height_params}, + } logger.info(f"best angle by area: {best_fit_angle_area}") logger.info(f"best angle by height: {best_fit_angle_height}") flat_face_angle, best_params, best_name = fd.choose_best_fit(fit_results) @@ -933,24 +1015,29 @@ class AareDAQ: samples_out = fd.get_samples_out(boxes) logger.info(f"face detection sequence done, samples: {samples_out}") - return { + result = { + "running": False, "samples": samples_out, - "height_fit": {"A": height_params["A"], - "B": height_params["B"], - "phi_rad": height_params["phi_rad"], - "C": height_params["C"], - "best_angle_deg": best_fit_angle_height + "height_fit": { + "A": height_params["A"], + "B": height_params["B"], + "phi_rad": height_params["phi_rad"], + "C": height_params["C"], + "best_angle_deg": best_fit_angle_height, }, - "area_fit": {"A": area_params["A"], - "B": area_params["B"], - "phi_rad": area_params["phi_rad"], - "C": height_params["C"], - "best_angle_deg": best_fit_angle_area + "area_fit": { + "A": area_params["A"], + "B": area_params["B"], + "phi_rad": area_params["phi_rad"], + "C": area_params["C"], + "best_angle_deg": best_fit_angle_area, }, } + self._emit_face_detection_progress(result) + return result - def __loop_center_sequence(self, sample_id: int | None = None) -> bool: + def __loop_center_sequence(self, sample_id: int | None = None, trace_all_alc_moves: bool = False) -> bool: self.__set_state(BeamlineStateEnum.SampleAlignment) self.__devs.lamp_light = 2.5 @@ -958,15 +1045,15 @@ class AareDAQ: try: self.__cfg.zoom_mode = ZoomModeEnum.LoopCenter - zoom_settings = self.__cfg.zoom_settings.z + #zoom_settings = self.__cfg.zoom_settings.z - for zoom_iter, zoom_value in enumerate(zoom_settings): + for zoom_iter, zoom_value in enumerate([200]): #exposure = zoom_settings[zoom_value].exposure #gain = zoom_settings[zoom_value].gain max_attempt = 2 attempt = 0 - base_angles = (0, 45, 90) if (zoom_iter % 2 == 0) else (90, 45, 0) + base_angles = (0, 90) if (zoom_iter % 2 == 0) else (90, 0) if sample_id is not None: logger.info(f"submitting to db loop center sequence for sample {sample_id}, zoom={zoom_value}") self.save_screenshot_db(sample_id, f"pre_alc") @@ -1015,6 +1102,11 @@ class AareDAQ: self.__devs.smargon_wait(60) logger.info(f"time to move smargon: {time.perf_counter() - time_to_move_smargon}") if sample_id is not None: + if trace_all_alc_moves: + self._append_smargon_trace( + sample_id=sample_id, + event=f"alc_move_zoom_{zoom_value:.0f}_angle_{angle}" + ) self.save_screenshot_db(sample_id, f"{sample_id}_{angle}_{zoom_value:.0f}") if targets_found_this_attempt == 0: @@ -1027,7 +1119,7 @@ class AareDAQ: break if found_flag is not None and found_angle is not None: logger.debug(f"found a target at angle {found_angle} in attempt {attempt + 1}") - base_angles = (found_angle, found_angle + 45, found_angle + 90) + base_angles = (found_angle, found_angle + 45) logger.debug(f"new base angles: {base_angles}") attempt += 1 logger.debug(f"attempt {attempt} of {max_attempt}") @@ -1041,6 +1133,7 @@ class AareDAQ: if sample_id is not None: logger.info(f"sample {sample_id} centered") self.save_screenshot_db(sample_id, f"{sample_id}_centered") + self._append_smargon_trace(sample_id=sample_id, event="alc_success") return True except Exception as e: @@ -1091,6 +1184,18 @@ class AareDAQ: end = time.perf_counter() return end - start + def _default_screenshot_message(self, sample_id: int) -> str: + omega_value = self.omega + zoom_value = self.zoom + samcam = self.samcam_settings + return ( + f"sample_id: {sample_id} " + f"zoom: {zoom_value} " + f"exp:{samcam.exposure} " + f"gain:{samcam.gain} " + f"omega:{omega_value}" + ) + def save_screenshot(self, filename: str): #time.sleep(0.2) # Wait 200 ms to ensure camera image is stable bgr_image = cv2.cvtColor(self.camera_image, cv2.COLOR_RGB2BGR) @@ -1101,6 +1206,31 @@ class AareDAQ: bgr_image = cv2.cvtColor(self.camera_image, cv2.COLOR_RGB2BGR) self.__aare.upload_image(sample_id, filename, bgr_image) + def send_screenshot_db(self, filename: str | None = None, message: str | None = None) -> None: + sample = self.sample + if sample is None or sample.db_id is None or sample.db_id < 0: + raise ValueError("No sample with a valid sample_id is mounted.") + + sample_id = sample.db_id + bgr_image = cv2.cvtColor(self.camera_image, cv2.COLOR_RGB2BGR) + + if filename: + filename = clean_filename(filename) + pgroup = self.__cfg.pgroup + if not pgroup: + raise ValueError("No active pgroup set; cannot save screenshot to photos directory.") + + photos_dir = Path("/sls/mx/data") / pgroup / "raw" / "photos" + photos_dir = photos_dir / str(sample_id) + photos_dir.mkdir(parents=True, exist_ok=True) + photo_path = photos_dir / f"{filename}.jpeg" + cv2.imwrite(str(photo_path), bgr_image) + + upload_name = clean_filename or f"{sample_id}_{datetime.now().strftime('%Y%m%d_%H%M%S')}" + final_message = (message or "").strip() or self._default_screenshot_message(sample_id) + self.__aare.upload_image(sample_id, upload_name, bgr_image, message=final_message) + + @property def sample_spreadsheet(self) -> SampleShortInfoList: return self.__cfg.spreadsheet @@ -1190,7 +1320,6 @@ class AareDAQ: return default_params, "defaults" - def measure(self, sample: SampleShortInfo) -> float: start = time.perf_counter() formatted_date = datetime.now().strftime('%Y%m%d') @@ -1211,7 +1340,7 @@ class AareDAQ: self.__mount(sample) if sample.db_id is not None: self.__aare.sample_mounted(sample) - self.save_screenshot_db(sample.db_id, "mounted") + self.save_screenshot_db(sample.db_id, f"{sample.db_id}_mounted") logger.info(f"mounting done at {time.perf_counter() - start_mount}, total time: {time.perf_counter() - start}") #self.__devs.smargon_pos #self.__devs.aerotech_pos = @@ -1225,7 +1354,9 @@ class AareDAQ: return end - start #raise LoopCenteringFailed logger.info(f"alc done at {time.perf_counter() - start}") - self.__face_detection_sequence() + + result = self.__face_detection_sequence(steps=7, step_size=30) + self._emit_face_detection_progress(result) logger.info(f"face_detection done at {time.perf_counter() - start}") #self.zoom = 500 @@ -1269,7 +1400,6 @@ class AareDAQ: # self.__aare.axc_failed(sample) self.zoom = 1 self.__cfg.zoom_mode = ZoomModeEnum.User - self.__devs.samcam_settings = self.__cfg.zoom_settings.get_camera_settings(self.zoom) self.__cfg.state_busy = False except Exception as e: logger.error(f"Error in measure: {e}") From 4710ef155cd7a511554457eb1f2f46090ca7dee8 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Mon, 9 Mar 2026 17:13:22 +0100 Subject: [PATCH 130/144] Devices: added comment for current cryo positions --- src/aare/daq/devices.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aare/daq/devices.py b/src/aare/daq/devices.py index 3de204d1..0455beea 100644 --- a/src/aare/daq/devices.py +++ b/src/aare/daq/devices.py @@ -89,7 +89,7 @@ class BeamlineDevices: getpv = f"{BEAMLINE}-ES-CS:POS-GET", timeout = 10.0) - self.__cryojet_x = MyMotor(f"{BEAMLINE}-ES-CS:TRX") + self.__cryojet_x = MyMotor(f"{BEAMLINE}-ES-CS:TRX") #currently in is 5 out is 15? From dd537b3373a1b1f3e0296d55b6f594e5c56a6b97 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Mon, 9 Mar 2026 17:14:00 +0100 Subject: [PATCH 131/144] config: updated ABR_POS_HOME to be 0,0,0 this is defiend by aerotech hoem psoiton on aerotech controller. --- src/aare/daq/config.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aare/daq/config.py b/src/aare/daq/config.py index 1c229ac6..61196563 100644 --- a/src/aare/daq/config.py +++ b/src/aare/daq/config.py @@ -24,7 +24,7 @@ from aare.common.logger_config import setup_logger from aare.common.exception_handler import BeamlineBusyException ABR_POS_ALIGN_DEF = Coordinate(x=-18, y=-0.266, z=0) -ABR_POS_MOUNT = Coordinate(x=18, y=0, z=0)#Coordinate(x=-18, y=0, z=0) +ABR_POS_MOUNT = Coordinate(x=0, y=0, z=0)#Coordinate(x=-18, y=0, z=0) ABR_OMEGA_MOUNT = 0.0 logger = setup_logger("aareDAQ") From 6bda961231d0cdf4bf52d38846e8b2f8fb3dc652 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Mon, 9 Mar 2026 17:14:18 +0100 Subject: [PATCH 132/144] Made some changes to authentication requests to give better message if server is down! --- src/aare/gui/auth.py | 47 +++++++++++++++++++++++++++++++++----------- 1 file changed, 35 insertions(+), 12 deletions(-) diff --git a/src/aare/gui/auth.py b/src/aare/gui/auth.py index 6c4f576f..00655c81 100644 --- a/src/aare/gui/auth.py +++ b/src/aare/gui/auth.py @@ -17,26 +17,49 @@ def auth(base_url: str | None) -> str: pgroups=["p16371", "p22233"]) return jwt.encode(token_data.model_dump(), "ABC123") + url = f"{base_url}/token" try: response = requests.post( - f"{base_url}/token", + url, data={ "username": curr_user, "password": "" }, headers={ "Content-Type": "application/x-www-form-urlencoded" - } + }, + timeout=(2.0, 5.0), # (connect timeout, read timeout) ) - if response.status_code == 200: - response_json = response.json() - if "access_token" in response_json: - return response_json["access_token"] - else: - logger.error(f"Authentication request failed: {response.content}") - raise Exception("Authentication request failed") - except requests.RequestException as e: - logger.error(f"Authentication request failed: {e}") + logger.error(f"Authentication request failed (network): {e}") + raise RuntimeError( + "Cannot reach AareDAQ server (network error). " + "Please check the server is running and your connection." + ) from e - return "" + if response.status_code != 200: + # Avoid dumping full HTML/tracebacks into the GUI; keep it short and actionable + logger.error(f"Authentication request failed: HTTP {response.status_code}. Body: {response.text[:500]}") + raise RuntimeError( + f"Authentication failed (HTTP {response.status_code}). " + "The server may be starting up or unavailable." + ) + + try: + response_json = response.json() + except ValueError as e: + logger.error(f"Authentication response was not JSON. Body: {response.text[:500]}") + raise RuntimeError( + "Authentication failed (invalid server response). " + "The server may be starting up or misconfigured." + ) from e + + token = response_json.get("access_token") + if not token or not isinstance(token, str): + logger.error(f"Authentication response missing access_token. Keys: {list(response_json.keys())}") + raise RuntimeError( + "Authentication failed (missing token in server response). " + "The server may be starting up." + ) + + return token \ No newline at end of file From 989624b319d7f160f6807de881d3b4fe407382da Mon Sep 17 00:00:00 2001 From: appleb_m Date: Mon, 9 Mar 2026 17:14:39 +0100 Subject: [PATCH 133/144] AareDB: added comments/messages for upload_image method --- src/aare/daq/aaredb.py | 15 +++++++++++---- 1 file changed, 11 insertions(+), 4 deletions(-) diff --git a/src/aare/daq/aaredb.py b/src/aare/daq/aaredb.py index 460ba927..e165f7b1 100644 --- a/src/aare/daq/aaredb.py +++ b/src/aare/daq/aaredb.py @@ -185,7 +185,7 @@ class AareWrapper: except Exception as e: logger.error(f"Error sending message to db: {e}") - def upload_image(self, sample_id: int, filename: str, bgr_image: np.ndarray): + def upload_image(self, sample_id: int, filename: str, bgr_image: np.ndarray, message: str | None = None): _, buffer = cv2.imencode('.jpg', bgr_image) jpeg_bytes = io.BytesIO(buffer) url = f"{self.__host}/protected_router/sample_runner/{sample_id}/upload-images" @@ -193,9 +193,16 @@ class AareWrapper: "accept": "application/json", "X-Shared-Password": os.getenv("AAREDB_SHARED_PASSWORD") } - response = requests.post(url, - files={'uploaded_file': (filename + ".jpg", jpeg_bytes, "image/jpeg")}, - verify=False, headers=headers) + + request_kwargs = { + "files": {'uploaded_file': (filename + ".jpg", jpeg_bytes, "image/jpeg")}, + "verify": False, + "headers": headers, + } + if message is not None: + request_kwargs["data"] = {"comment": message} + + response = requests.post(url, **request_kwargs) logger.debug(f"Response status code: {response.status_code}") def upload_jpg(self, sample_id: int, filename: str, jpg_image): From 661db1315d3caffba949f1c32ae748fcfca1ff95 Mon Sep 17 00:00:00 2001 From: GotthardG <51994228+GotthardG@users.noreply.github.com> Date: Tue, 10 Mar 2026 10:15:23 +0100 Subject: [PATCH 134/144] Refactor SSE connection handling in `tellupdater` for simplicity and robustness --- src/aare/daq/tellupdater.py | 16 +++++----------- 1 file changed, 5 insertions(+), 11 deletions(-) diff --git a/src/aare/daq/tellupdater.py b/src/aare/daq/tellupdater.py index 24cee01d..e9815dec 100644 --- a/src/aare/daq/tellupdater.py +++ b/src/aare/daq/tellupdater.py @@ -40,23 +40,17 @@ def listen_to_sse(): return sse_url = tell_client.url + "/events" try: - response = requests.get(sse_url, stream=True) - client = sseclient.SSEClient(response) + #response = requests.get(sse_url, stream=True) + client = sseclient.SSEClient(sse_url) - # Immediately fetch current detected pucks once on connect so the system starts with - # up-to-date state (instead of waiting for the first DewarContentUpdate event). - try: - print("[SSE][listen_to_sse] Initial detected pucks fetch on connect") - handle_tell_change_event() - except Exception as exc: - print(f"[SSE][listen_to_sse][WARN] Initial fetch failed: {exc}") + print("[SSE][listen_to_sse] Initial detected pucks fetch on connect") + handle_tell_change_event() for event in client.events(): print(f"event = {event.event} with data: {event.data}") if event.event == "DewarContentUpdate": - print(f"[SSE][listen_to_sse] event: {event.event}, data: {event.data}") on_sse_event(event) - except requests.exceptions.RequestException as exc: + except Exception as exc: print(f"[SSE][listen_to_sse][ERROR] Failed to connect to {sse_url}: {exc}") def compare_and_report_change(old, new, key_func): From 23f700c2f9e5d60e20e7d47d6b4b8239931c64ca Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 10 Mar 2026 10:42:51 +0100 Subject: [PATCH 135/144] DAQ: db message limit omega to 2 decimal places --- src/aare/daq/daq.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index 804ff5a5..a93a7bc2 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -1193,7 +1193,7 @@ class AareDAQ: f"zoom: {zoom_value} " f"exp:{samcam.exposure} " f"gain:{samcam.gain} " - f"omega:{omega_value}" + f"omega:{omega_value:.2f}" ) def save_screenshot(self, filename: str): @@ -1226,7 +1226,7 @@ class AareDAQ: photo_path = photos_dir / f"{filename}.jpeg" cv2.imwrite(str(photo_path), bgr_image) - upload_name = clean_filename or f"{sample_id}_{datetime.now().strftime('%Y%m%d_%H%M%S')}" + upload_name = filename or f"{sample_id}_{datetime.now().strftime('%Y%m%d_%H%M%S')}" final_message = (message or "").strip() or self._default_screenshot_message(sample_id) self.__aare.upload_image(sample_id, upload_name, bgr_image, message=final_message) From 123485c1339c5c29f034c91343b9ab4d92ad6711 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 10 Mar 2026 10:43:20 +0100 Subject: [PATCH 136/144] GUI: error handling and messages if server, Tell or Smargon is disconnected --- src/aare/gui/main_window.py | 11 +-- src/aare/gui/threads/daq_worker.py | 118 ++++++++++++++++++++++------- src/aare/gui/widgets/status_bar.py | 28 ++++++- 3 files changed, 120 insertions(+), 37 deletions(-) diff --git a/src/aare/gui/main_window.py b/src/aare/gui/main_window.py index 95b2dbfe..306f2eed 100644 --- a/src/aare/gui/main_window.py +++ b/src/aare/gui/main_window.py @@ -446,7 +446,7 @@ class MainWindow(QMainWindow): self.daq.fluorimeter_spectrum_update.connect(self.fluor_panel.update_plot) self.daq.fluorimeter_spectrum_update.connect(lambda: self.fluor_panel_dock.setVisible(True)) - self.daq.status_message.connect(self.display_status) + self.daq.status_message.connect(self.status_bar.show_connection_message) register_tutorials(self, self.tutorial_manager) @@ -645,15 +645,6 @@ class MainWindow(QMainWindow): self.__mounting = False self.video_tab.setCurrentIndex(0) - @Slot(str) - def display_status(self, msg: str, is_error: bool = True): - if is_error: - self.status_bar.setStyleSheet("color: red;") - self.status_bar.showMessage(f' {msg} ', 10000) - else: - self.status_bar.setStyleSheet("color: green;") - self.status_bar.showMessage(f' {msg} ', 10000) - def _restore_window_state(self) -> None: settings = QSettings() geometry = settings.value("main_window/geometry") diff --git a/src/aare/gui/threads/daq_worker.py b/src/aare/gui/threads/daq_worker.py index e688da5c..d54877e0 100644 --- a/src/aare/gui/threads/daq_worker.py +++ b/src/aare/gui/threads/daq_worker.py @@ -77,6 +77,8 @@ class DAQWorker(QObject): self._last_tell_connected: bool | None = None self._last_smargon_connected: bool | None = None + self._server_connected: bool | None = None + self._last_server_error: str | None = None self._face_detection_stream_reply: QNetworkReply | None = None @@ -172,6 +174,63 @@ class DAQWorker(QObject): logger.error(f"Error in response: {reply.errorString()}") raise RuntimeError(reply.errorString()) + def _emit_status_if_changed(self, key: str | None, message: str | None, is_error: bool) -> None: + if not message: + self._active_status_error_key = None + return + + if is_error: + if self._active_status_error_key != key: + self._active_status_error_key = key + self.status_message.emit(message, True) + return + + self._active_status_error_key = None + self.status_message.emit(message, False) + + def _compose_device_status_message( + self, + *, + tell_conn: bool, + smargon_conn: bool, + tell_changed: bool, + smargon_changed: bool, + ) -> tuple[str | None, str | None, bool]: + disconnected: list[str] = [] + restored: list[str] = [] + + if not tell_conn: + disconnected.append("TELL") + elif tell_changed: + restored.append("TELL") + + if not smargon_conn: + disconnected.append("Smargon") + elif smargon_changed: + restored.append("Smargon") + + if disconnected: + if len(disconnected) == 2: + return ( + "tell+smargon-down", + "TELL and Smargon connection errors, please inform your local contact.", + True, + ) + device = disconnected[0] + return ( + f"{device.lower()}-down", + f"{device} connection error, please inform your local contact.", + True, + ) + + if restored: + if len(restored) == 2: + return (None, "TELL and Smargon connections restored.", False,) + device = restored[0] + return (None, f"{device} connection restored.",False) + + return (None, None, False) + @Slot(QNetworkReply) def handle_status_response(self, reply: QNetworkReply): try: @@ -179,46 +238,53 @@ class DAQWorker(QObject): parsed_response = DAQStatusModel.model_validate_json(response_data) self.update.emit(parsed_response) + if self._server_connected is False: + self._emit_status_if_changed(None, "Server connection restored.", False) + self._server_connected = True + self._last_server_error = None + tell_conn = bool(getattr(parsed_response, "tell_connected", True)) smargon_conn = bool(getattr(parsed_response, "smargon_connected", True)) tell_err = getattr(parsed_response, "tell_error", None) smargon_err = getattr(parsed_response, "smargon_error", None) - # Status-bar messages should appear: - # - the first time we *notice* a disconnect - # - again when it reconnects - if self._last_tell_connected is None: - self._last_tell_connected = tell_conn - if not tell_conn: - self.status_message.emit("TELL connection error, please inform your local contact.", True) - elif self._last_tell_connected != tell_conn: - self._last_tell_connected = tell_conn - if tell_conn: - self.status_message.emit("TELL connection restored.", False) - else: - self.status_message.emit("TELL connection error, please inform your local contact.", True) + tell_changed = self._last_tell_connected is not None and self._last_tell_connected != tell_conn + smargon_changed = ( + self._last_smargon_connected is not None and self._last_smargon_connected != smargon_conn + ) - if self._last_smargon_connected is None: - self._last_smargon_connected = smargon_conn - if not smargon_conn: - self.status_message.emit("Smargon connection error, please inform your local contact.", True) - elif self._last_smargon_connected != smargon_conn: - self._last_smargon_connected = smargon_conn - if smargon_conn: - self.status_message.emit("Smargon connection restored.", False) - else: - self.status_message.emit("Smargon connection error, please inform your local contact.", True) + self._last_tell_connected = tell_conn + self._last_smargon_connected = smargon_conn + + status_key, status_msg, is_error = self._compose_device_status_message( + tell_conn=tell_conn, + smargon_conn=smargon_conn, + tell_changed=tell_changed, + smargon_changed=smargon_changed, + ) + self._emit_status_if_changed(status_key, status_msg, is_error) - # Throttled logging of the *error strings* every ~10s while disconnected if not tell_conn: self._log_device_error_throttled(device="tell", message=tell_err) if not smargon_conn: self._log_device_error_throttled(device="smargon", message=smargon_err) except Exception as e: - # keep your existing throttled logging behavior here if you want + err_msg = str(e) + + if self._server_connected is not False: + self._emit_status_if_changed( + "server-down", + "Server connection lost. Trying to reconnect...", + True, + ) + + self._server_connected = False + self._last_server_error = err_msg + self._last_tell_connected = None + self._last_smargon_connected = None + logger.error(f"Exception from status response: {e}") - self.http_error.emit(str(e)) @Slot(QNetworkReply) def handle_spreadsheet_response(self, reply: QNetworkReply): diff --git a/src/aare/gui/widgets/status_bar.py b/src/aare/gui/widgets/status_bar.py index ea5e6cdf..b59ae947 100644 --- a/src/aare/gui/widgets/status_bar.py +++ b/src/aare/gui/widgets/status_bar.py @@ -2,7 +2,7 @@ import math from PySide6.QtCore import Signal, Slot, QPoint, QTimer from PySide6.QtGui import QFont -from PySide6.QtWidgets import QStatusBar, QDialog, QMenu, QMessageBox +from PySide6.QtWidgets import QStatusBar, QDialog, QMenu, QMessageBox, QLabel, QSizePolicy from aare.common.models import TokenData, BeamlineStateEnum, DAQStatusModel, SessionsStateEnum from aare.gui.widgets.clickable_label import ClickableLabel @@ -34,6 +34,14 @@ class StatusBar(QStatusBar): self.__is_staff = self.__decoded_token.staff self.__allowed_pgroups = self.__decoded_token.pgroups + self._message_clear_timer = QTimer(self) + self._message_clear_timer.setSingleShot(True) + self._message_clear_timer.timeout.connect(self.clear_connection_message) + + self.message_label = QLabel("", self) + self.message_label.setVisible(False) + self.message_label.setSizePolicy(QSizePolicy.Policy.Maximum, QSizePolicy.Policy.Preferred) + self.sharpness = ValueLabel("Samcam image sharpness", "", self) self.samcam_fps = ValueLabel("Samcam FPS", "fps", self) self.flux = ValueLabel("Flux", "x 109 ph/s", self) @@ -57,6 +65,7 @@ class StatusBar(QStatusBar): self.shutter_label.clicked.connect(self.show_shutter_menu) self.exp_shutter_label = ValueLabel("ExpHutch Shutter", "", self) + self.addWidget(self.message_label) self.addPermanentWidget(self.sharpness) self.addPermanentWidget(self.samcam_fps) self.addPermanentWidget(self.flux) @@ -72,6 +81,23 @@ class StatusBar(QStatusBar): self.addPermanentWidget(self.busy_label) self.addPermanentWidget(self.session_label) + @Slot(str, bool) + def show_connection_message(self, msg: str, is_error: bool = True): + color = "red" if is_error else "green" + self._message_clear_timer.stop() + self.message_label.setText(msg) + self.message_label.setStyleSheet(f"color: {color}; font-weight: bold;") + self.message_label.setVisible(bool(msg)) + + if not is_error: + self._message_clear_timer.start(5000) + + @Slot() + def clear_connection_message(self): + self._message_clear_timer.stop() + self.message_label.clear() + self.message_label.setVisible(False) + @Slot(float) def update_sharpness(self, val: float): self.sharpness.set_value(f"{val:.3f}") From d7fef70199ce8508e0841304a782d7fb87bfb251 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 10 Mar 2026 11:04:11 +0100 Subject: [PATCH 137/144] GUI: added an alert banner for major issues like tell and server dicsonnect/reconnect. --- src/aare/gui/main_window.py | 46 +++++++++------ src/aare/gui/widgets/alert_banner.py | 84 ++++++++++++++++++++++++++++ 2 files changed, 113 insertions(+), 17 deletions(-) create mode 100644 src/aare/gui/widgets/alert_banner.py diff --git a/src/aare/gui/main_window.py b/src/aare/gui/main_window.py index 306f2eed..dcc40ce0 100644 --- a/src/aare/gui/main_window.py +++ b/src/aare/gui/main_window.py @@ -9,8 +9,8 @@ from PySide6.QtWidgets import ( QHBoxLayout, QVBoxLayout, QMessageBox, - QApplication, - QDockWidget, QTabWidget) + QDockWidget, + QTabWidget, QFrame, QSizePolicy, QLabel) from aare.common.coordinate import Coordinate, SmargonCoordinate from aare.common.diffraction_geometry import DiffractionGeometry @@ -41,6 +41,7 @@ from aare.gui.threads.prediction_subscriber import PredictionSubscriber from aare.gui.threads.daq_worker import DAQWorker from aare.gui.threads.jfjoch_viewer import JFJochDBusClient from aare.gui.tutorials.tutorial_registration import register_tutorials +from aare.gui.widgets.alert_banner import AlertBanner from aare.gui.widgets.camera_image import SampleCameraImageLabel from aare.gui.widgets.no_wheel_scroll_area import NoWheelScrollArea from aare.gui.widgets.status_bar import StatusBar @@ -98,15 +99,23 @@ class MainWindow(QMainWindow): self.setStyleSheet("background-color: rgb(216, 228, 253);") - top_widget = QWidget(parent=self) + root_widget = QWidget(parent=self) + root_layout = QVBoxLayout(root_widget) + root_layout.setContentsMargins(0, 0, 0, 0) + root_layout.setSpacing(0) + + self.alert_banner = AlertBanner(parent=root_widget) + root_layout.addWidget(self.alert_banner) + + top_widget = QWidget(parent=root_widget) top_widget_layout = QHBoxLayout(top_widget) top_widget.setLayout(top_widget_layout) diffraction = DiffractionGeometry( energy_keV=12.4, dtz_mm=100, - detector_size_pxl=(1553,1630), - pixel_size_mm=0.150, #PILATUS 4 + detector_size_pxl=(1553, 1630), + pixel_size_mm=0.150, # PILATUS 4 beam_center_pxl=(750, 750), detector_description="PILATUS 4", detector_serial_number="1", @@ -114,7 +123,7 @@ class MainWindow(QMainWindow): poni_rot2_rad=-0.003839724 ) - geom = SampleGeometryModel(beam_location_pxl=Coordinate(x=1000,y=1000), + geom = SampleGeometryModel(beam_location_pxl=Coordinate(x=1000, y=1000), pixel_in_mm=0.001, aerotech=Coordinate(), smargon=SmargonCoordinate(sh_mm=Coordinate(), phi_deg=0, chi_deg=0), @@ -133,7 +142,6 @@ class MainWindow(QMainWindow): raster_mgr=self.raster, diffraction=diffraction) - top_widget_layout.addWidget(collection_controls_scroll) collection_controls_scroll.setWidget(self.data_collection) collection_controls_scroll.setHorizontalScrollBarPolicy( @@ -141,14 +149,14 @@ class MainWindow(QMainWindow): ) collection_controls_scroll.setFixedWidth(self.data_collection.set_width + 10) - self.video_tab = QTabWidget(parent=top_widget) - self.sample_camera = SampleCameraImageLabel(geom=geom, raster=self.raster, parent=top_widget, default_image=default_image) + self.sample_camera = SampleCameraImageLabel(geom=geom, raster=self.raster, parent=top_widget, + default_image=default_image) self.beamline_view_container = QWidget(parent=top_widget) self.beamline_view_layout = QVBoxLayout(self.beamline_view_container) - self.beamline_view_layout.setContentsMargins(0,0,0,0) + self.beamline_view_layout.setContentsMargins(0, 0, 0, 0) self.beamline_view_layout.setSpacing(6) self.beamline_view_1_combined = VideoGraphicsView() @@ -165,7 +173,7 @@ class MainWindow(QMainWindow): self.beamline_view_layout.addWidget(self.beamline_view) self.gonio_view = VideoGraphicsView() - #TODO add option to change cameras for gonio_camera_thread + # TODO add option to change cameras for gonio_camera_thread if gonio_cam_addr and gonio_cam_id: self.gonio_camera_thread = VideoThread(ip=gonio_cam_addr, camera=gonio_cam_id) self.gonio_camera_thread.frame_ready.connect(self.gonio_view.update_frame) @@ -190,8 +198,8 @@ class MainWindow(QMainWindow): ) beamline_controls_scroll.setFixedWidth(self.beamline.set_width + 10) - self.tell_samples = TellSamplePanel(samples=SampleShortInfoList(s = [])) - self.ref_tools_panel = ReferenceToolsPanel(samples=SampleShortInfoList(s = [])) + self.tell_samples = TellSamplePanel(samples=SampleShortInfoList(s=[])) + self.ref_tools_panel = ReferenceToolsPanel(samples=SampleShortInfoList(s=[])) self.job_list_panel = SampleQueuePanel() self.tell_samples_dock = QDockWidget("Sample List", self) @@ -227,7 +235,8 @@ class MainWindow(QMainWindow): self.face_panel_dock = QDockWidget("Face detection", self) self.face_panel_dock.setObjectName("face_panel_dock") self.face_panel_dock.setWidget(self.face_panel) - self.face_panel_dock.setAllowedAreas(Qt.DockWidgetArea.RightDockWidgetArea | Qt.DockWidgetArea.LeftDockWidgetArea) + self.face_panel_dock.setAllowedAreas( + Qt.DockWidgetArea.RightDockWidgetArea | Qt.DockWidgetArea.LeftDockWidgetArea) self.addDockWidget(Qt.DockWidgetArea.RightDockWidgetArea, self.face_panel_dock) self.face_panel_dock.hide() @@ -235,7 +244,8 @@ class MainWindow(QMainWindow): self.fluor_panel_dock = QDockWidget("Fluorescence", self) self.fluor_panel_dock.setObjectName("fluor_panel_dock") self.fluor_panel_dock.setWidget(self.fluor_panel) - self.fluor_panel_dock.setAllowedAreas(Qt.DockWidgetArea.TopDockWidgetArea | Qt.DockWidgetArea.BottomDockWidgetArea | Qt.DockWidgetArea.RightDockWidgetArea) + self.fluor_panel_dock.setAllowedAreas( + Qt.DockWidgetArea.TopDockWidgetArea | Qt.DockWidgetArea.BottomDockWidgetArea | Qt.DockWidgetArea.RightDockWidgetArea) self.addDockWidget(Qt.DockWidgetArea.BottomDockWidgetArea, self.fluor_panel_dock) self.fluor_panel_dock.hide() @@ -260,7 +270,8 @@ class MainWindow(QMainWindow): self.addDockWidget(Qt.DockWidgetArea.RightDockWidgetArea, self.smargon_trace_dock) self.smargon_trace_dock.hide() - self.setCentralWidget(top_widget) + root_layout.addWidget(top_widget) + self.setCentralWidget(root_widget) self.setWindowTitle("AareGUI") self.create_menu_bar() @@ -343,7 +354,7 @@ class MainWindow(QMainWindow): self._samcam_source_timer.start() # -# self.data_collection.helical.helical_scan.connect(self.worker.helical_scan) + # self.data_collection.helical.helical_scan.connect(self.worker.helical_scan) # self.data_collection.helical.update_bookmarks.connect( # self.camera_image.update_bookmarks # ) @@ -447,6 +458,7 @@ class MainWindow(QMainWindow): self.daq.fluorimeter_spectrum_update.connect(lambda: self.fluor_panel_dock.setVisible(True)) self.daq.status_message.connect(self.status_bar.show_connection_message) + self.daq.status_message.connect(self.alert_banner.show_message) register_tutorials(self, self.tutorial_manager) diff --git a/src/aare/gui/widgets/alert_banner.py b/src/aare/gui/widgets/alert_banner.py new file mode 100644 index 00000000..fe10f4c7 --- /dev/null +++ b/src/aare/gui/widgets/alert_banner.py @@ -0,0 +1,84 @@ +from PySide6.QtCore import QTimer, Slot, Qt +from PySide6.QtGui import QColor +from PySide6.QtWidgets import QFrame, QHBoxLayout, QLabel, QSizePolicy, QGraphicsDropShadowEffect + +from aare.common.logger_config import setup_logger + +logger = setup_logger("aareGUI") + + +class AlertBanner(QFrame): + def __init__(self, parent=None): + super().__init__(parent) + + self._clear_timer = QTimer(self) + self._clear_timer.setSingleShot(True) + self._clear_timer.timeout.connect(self.clear_message) + + self._label = QLabel("", self) + self._label.setWordWrap(True) + self._label.setAlignment(Qt.AlignmentFlag.AlignCenter) + + layout = QHBoxLayout(self) + layout.setContentsMargins(24, 12, 24, 12) + layout.addWidget(self._label) + + shadow = QGraphicsDropShadowEffect(self) + shadow.setBlurRadius(18) + shadow.setOffset(0, 3) + shadow.setColor(QColor(0, 0, 0, 55)) + self.setGraphicsEffect(shadow) + + self.setVisible(False) + self.setSizePolicy(QSizePolicy.Policy.Expanding, QSizePolicy.Policy.Fixed) + + @Slot(str, bool) + def show_message(self, msg: str, is_error: bool = True): + self._clear_timer.stop() + + if not msg: + self.clear_message() + return + + if is_error: + decorated = f"🛑 {msg} 🛑" + self.setStyleSheet( + "QFrame {" + " background-color: #fbe4e6;" + " border: 2px solid #d97a84;" + " border-radius: 12px;" + " margin: 8px 12px 8px 12px;" + "}" + "QLabel {" + " color: #8f1d2c;" + " font-weight: 700;" + " font-size: 20px;" + " padding: 2px 6px 2px 6px;" + "}" + ) + else: + decorated = f"✅ {msg} ✅" + self.setStyleSheet( + "QFrame {" + " background-color: #e7f6ea;" + " border: 2px solid #7bbf8e;" + " border-radius: 12px;" + " margin: 8px 12px 8px 12px;" + "}" + "QLabel {" + " color: #1f6a3a;" + " font-weight: 700;" + " font-size: 20px;" + " padding: 2px 6px 2px 6px;" + "}" + ) + self._clear_timer.start(5000) + + self._label.setText(decorated) + self.setVisible(True) + + @Slot() + def clear_message(self): + self._clear_timer.stop() + self._label.clear() + self.setVisible(False) From cd04619814ac3944a3323eed51efbbab027947ea Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 10 Mar 2026 11:53:27 +0100 Subject: [PATCH 138/144] DAQ: added authentication pathway for staff only, to seperate staff and active session check for beamline recovery operations --- src/aare/daq/auth.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/src/aare/daq/auth.py b/src/aare/daq/auth.py index e480964a..3af7f247 100644 --- a/src/aare/daq/auth.py +++ b/src/aare/daq/auth.py @@ -91,8 +91,7 @@ def check_jwt_rw(cfg: BeamlineConfig, data: TokenData) -> None: code=AuthErrorCode.SESSION_ALREADY_ACTIVE, ) from e - -def check_jwt_staff(cfg: BeamlineConfig, data: TokenData) -> None: +def check_jwt_staff_only(data: TokenData) -> None: if not data.staff: raise UserRightsException( message="Not member of the MX staff.", @@ -100,6 +99,8 @@ def check_jwt_staff(cfg: BeamlineConfig, data: TokenData) -> None: code=AuthErrorCode.NOT_STAFF, ) +def check_jwt_staff(cfg: BeamlineConfig, data: TokenData) -> None: + check_jwt_staff_only(data) try: cfg.try_set_active_session(data.session, SESSION_EXPIRE_SECONDS) except Exception as e: From 50b8dbf0545f297c1b6be2ba1a88da51af9314a2 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 10 Mar 2026 11:55:46 +0100 Subject: [PATCH 139/144] GUI/DAQ: added a sample resync to recovery, trying to limit amount we poll Tell for current sample psoiton - work in progress. --- src/aare/daq/daq.py | 88 +++++++++++++++-- src/aare/daq/server.py | 26 +++-- .../gui/panels/beamline_recovery_panel.py | 45 +++++++++ src/aare/gui/threads/daq_worker.py | 95 ++++++++++++++++--- 4 files changed, 228 insertions(+), 26 deletions(-) diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index a93a7bc2..42a5a0d8 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -64,6 +64,8 @@ class AareDAQ: self.__saved_box = None self._smargon_trace_path = Path("logs") / "smargon_trace.csv" self._face_detection_progress_cb: Callable[[dict], None] | None = None + self._last_sample_sync_ts = 0.0 + self._sample_sync_min_interval_s = 2.0 def set_face_detection_progress_callback(self, cb: Callable[[dict], None] | None) -> None: self._face_detection_progress_cb = cb @@ -109,6 +111,80 @@ class AareDAQ: except Exception as e: logger.warning(f"Failed to append smargon trace: {e}") + def _sample_matches_mounted_address( + self, + sample: SampleShortInfo | None, + mounted_address, + ) -> bool: + if sample is None or sample.location is None or mounted_address is None: + return False + return ( + sample.location.segment == mounted_address.puck.segment + and sample.location.pos == mounted_address.puck.pos + and sample.pin == mounted_address.pin + ) + + def _find_sample_by_mounted_address(self, mounted_address) -> SampleShortInfo | None: + for sample in self.__cfg.spreadsheet.s: + if self._sample_matches_mounted_address(sample, mounted_address): + return sample + + for sample in self.__cfg.reference_tools.s: + if self._sample_matches_mounted_address(sample, mounted_address): + return sample + + return None + + def _placeholder_sample_from_mounted_address(self, mounted_address) -> SampleShortInfo: + return SampleShortInfo( + db_id=-1, + puck_name="", + dewar_name="", + sample_name=f"Mounted sample {mounted_address.puck.segment}{mounted_address.puck.pos}-{mounted_address.pin}", + run_number=0, + user="", + pin=mounted_address.pin, + location=mounted_address.puck, + ) + + def sync_current_sample_from_tell(self, force: bool = False) -> SampleShortInfo | None: + current_sample = self.__cfg.current_sample + + if current_sample is not None and current_sample.location is None: + return current_sample + + now = time.monotonic() + if not force and (now - self._last_sample_sync_ts) < self._sample_sync_min_interval_s: + return current_sample + + self._last_sample_sync_ts = now + mounted_address = self.__devs.tell.get_mounted_sample() + + if mounted_address is None: + if current_sample is not None and current_sample.location is not None: + logger.warning("TELL reports no mounted sample; clearing cached current_sample") + self.__cfg.current_sample = None + return self.__cfg.current_sample + + if self._sample_matches_mounted_address(current_sample, mounted_address): + return current_sample + + resolved_sample = self._find_sample_by_mounted_address(mounted_address) + if resolved_sample is None: + resolved_sample = self._placeholder_sample_from_mounted_address(mounted_address) + logger.warning( + "Mounted sample from TELL was not found in known sample lists; using placeholder", + extra={"mounted_address": str(mounted_address)}, + ) + else: + logger.info( + f"Reconciled cached sample from TELL to {resolved_sample.sample_name}", + extra={"db_id": resolved_sample.db_id}, + ) + + self.__cfg.current_sample = resolved_sample + return resolved_sample + @property def state(self) -> BeamlineStateEnum: return self.__cfg.state @@ -272,11 +348,6 @@ class AareDAQ: @property def sample(self) -> SampleShortInfo | None: - #TODO figure out why this works and what it should be - if self.__cfg.current_sample is not None and self.__cfg.current_sample.location is None: - return self.__cfg.current_sample - if self.__devs.tell.get_mounted_sample() is None: - return None return self.__cfg.current_sample @property @@ -347,6 +418,7 @@ class AareDAQ: self.__devs.tell.set_in_mount_position(True) if target is None: self.__devs.tell.unmount(wait=True, timeout=60.0) + self.__cfg.current_sample = None else: value = self.__devs.tell.mount(address=target.tell_address(), force=True, auto_unmount=True, read_dm=False, wait=True, timeout=360.0) @@ -1553,12 +1625,12 @@ class AareDAQ: Return (sample, tell_connected, tell_error) without raising. """ try: - return self.sample, True, None + return self.sync_current_sample_from_tell(), True, None except TellCommunicationError as e: - return None, False, str(e) + return self.__cfg.current_sample, False, str(e) except Exception as e: # Keep status flowing even if Tell code throws something unexpected - return None, False, f"TELL unavailable: {e}" + return self.__cfg.current_sample, False, f"TELL unavailable: {e}" def _safe_geom(self) -> tuple[SampleGeometryModel, bool, str | None]: """ diff --git a/src/aare/daq/server.py b/src/aare/daq/server.py index e0a097ef..45f57d4f 100644 --- a/src/aare/daq/server.py +++ b/src/aare/daq/server.py @@ -34,7 +34,7 @@ from aare.common.exception_handler import ( SampleException, UserRightsException, ) - +logger = setup_logger("aareDAQ") app = FastAPI() register_exception_handlers(app) @@ -45,10 +45,14 @@ bl = mx_beamline() cfg = BeamlineConfig(bl) daq = AareDAQ(cfg, bl) +try: + daq.sync_current_sample_from_tell(force=True) +except Exception as e: + logger.warning(f"Initial sample sync from TELL failed: {e}") + _all_pgroups_cache: dict[str, tuple[list[str], float]] = {} _ALL_PGROUPS_TTL_S = 60.0 # adjust TTL as needed -logger = setup_logger("aareDAQ") _face_detection_state: dict = { "seq": 0, "running": False, @@ -355,6 +359,16 @@ async def manual(s: SampleShortInfo, token: str = Depends(oauth2_scheme)): daq.create_sample(s) print(f"DB ID after creating {s.db_id}") +@app.post("/sample/resync") +async def sample_resync(token: str = Depends(oauth2_scheme)) -> dict: + auth.check_jwt_rw(cfg, auth.parse_token(token)) + daq.sync_current_sample_from_tell(force=True) + logger.info("TELL sample cache resynced via API request.") + return { + "ok": True, + "message": "TELL sample cache resynced.", + } + def get_spreadsheet(data: TokenData) -> SampleShortInfoList: if data.staff: @@ -454,7 +468,7 @@ async def maintenance(token: str = Depends(oauth2_scheme)) -> str: @app.post("/access/take_over_beamline") async def take_over_beamline(payload: RecoveryActionRequest, token: str = Depends(oauth2_scheme)) -> str: data = auth.parse_token(token) - auth.check_jwt_staff(cfg, data) + auth.check_jwt_staff_only(data) _validate_recovery_code(payload.confirmation_code) auth.force_current_sesion(cfg, data) logger.warning( @@ -466,7 +480,7 @@ async def take_over_beamline(payload: RecoveryActionRequest, token: str = Depend @app.post("/state/free_beamline") async def free_beamline(payload: RecoveryActionRequest, token: str = Depends(oauth2_scheme)) -> str: data = auth.parse_token(token) - auth.check_jwt_staff(cfg, data) + auth.check_jwt_staff_only(data) _validate_recovery_code(payload.confirmation_code) cfg.state_busy = False logger.warning( @@ -478,7 +492,7 @@ async def free_beamline(payload: RecoveryActionRequest, token: str = Depends(oau @app.post("/recovery/recover_beamline") async def recover_beamline(payload: RecoveryActionRequest, token: str = Depends(oauth2_scheme)) -> dict: data = auth.parse_token(token) - auth.check_jwt_staff(cfg, data) + auth.check_jwt_staff_only(data) _validate_recovery_code(payload.confirmation_code) sample_mounted = _sample_is_mounted() @@ -509,7 +523,7 @@ async def recover_beamline(payload: RecoveryActionRequest, token: str = Depends( @app.post("/recovery/unmount_sample") async def recovery_unmount_sample(payload: RecoveryActionRequest, token: str = Depends(oauth2_scheme)) -> dict: data = auth.parse_token(token) - auth.check_jwt_staff(cfg, data) + auth.check_jwt_staff_only(data) _validate_recovery_code(payload.confirmation_code) auth.force_current_sesion(cfg, data) diff --git a/src/aare/gui/panels/beamline_recovery_panel.py b/src/aare/gui/panels/beamline_recovery_panel.py index 6f9afa13..4891e9e0 100644 --- a/src/aare/gui/panels/beamline_recovery_panel.py +++ b/src/aare/gui/panels/beamline_recovery_panel.py @@ -72,6 +72,20 @@ class RecoveryPanel(QWidget): ) layout.addWidget(self._status) + self._last_action = QLabel("Last action: -", self) + self._last_action.setWordWrap(True) + self._last_action.setStyleSheet( + "QLabel {" + " background: #eef6ff;" + " color: #12406a;" + " border: 1px solid #a8c7e6;" + " border-radius: 6px;" + " padding: 8px;" + " font-weight: 600;" + "}" + ) + layout.addWidget(self._last_action) + self._take_over_btn = QPushButton("Take over beamline", self) self._take_over_btn.setStyleSheet( "QPushButton {" @@ -126,9 +140,24 @@ class RecoveryPanel(QWidget): self._recovery_unmount_btn.clicked.connect(self._recovery_unmount_sample) layout.addWidget(self._recovery_unmount_btn) + self._resync_sample_btn = QPushButton("Resync sample from TELL", self) + self._resync_sample_btn.setStyleSheet( + "QPushButton {" + " background: #eef6ff;" + " color: #12406a;" + " border: 1px solid #a8c7e6;" + " border-radius: 6px;" + " padding: 8px;" + " font-weight: 600;" + "}" + ) + self._resync_sample_btn.clicked.connect(self._resync_sample) + layout.addWidget(self._resync_sample_btn) + layout.addStretch(1) self._daq.update.connect(self._set_daq_status) + self._daq.sample_resync_completed.connect(self._set_last_action) self._refresh_buttons() def _prompt_recovery_code(self, action_name: str) -> str | None: @@ -185,6 +214,9 @@ class RecoveryPanel(QWidget): "" if beamline_busy else "Disabled because beamline does not currently appear busy." ) + self._resync_sample_btn.setEnabled(True) + self._resync_sample_btn.setToolTip("Force a one-shot sample reconciliation against TELL.") + def _confirm(self, title: str, msg: str) -> bool: reply = QMessageBox.warning( self, @@ -211,6 +243,7 @@ class RecoveryPanel(QWidget): code = self._prompt_recovery_code("Take over beamline") if not code: return + self._last_action.setText("Last action: Taking over beamline session...") self._daq.take_over_beamline(code) @Slot() @@ -223,6 +256,7 @@ class RecoveryPanel(QWidget): code = self._prompt_recovery_code("Free beamline") if not code: return + self._last_action.setText("Last action: Clearing beamline busy flag...") self._daq.free_beamline(code) @Slot() @@ -246,6 +280,7 @@ class RecoveryPanel(QWidget): code = self._prompt_recovery_code("Recover beamline") if not code: return + self._last_action.setText("Last action: Recovering beamline to Maintenance...") self._daq.recover_beamline(code) @Slot() @@ -260,8 +295,18 @@ class RecoveryPanel(QWidget): code = self._prompt_recovery_code("Unmount sample (recovery)") if not code: return + self._last_action.setText("Last action: Performing recovery sample unmount...") self._daq.recovery_unmount_sample(code) + @Slot() + def _resync_sample(self) -> None: + self._last_action.setText("Last action: Resyncing sample cache from TELL...") + self._daq.resync_sample() + + @Slot(str) + def _set_last_action(self, message: str) -> None: + self._last_action.setText(f"Last action: {message}") + class BeamlineRecoveryDialog(QDialog): def __init__(self, *, daq: DAQWorker, parent=None): diff --git a/src/aare/gui/threads/daq_worker.py b/src/aare/gui/threads/daq_worker.py index d54877e0..16f77b8d 100644 --- a/src/aare/gui/threads/daq_worker.py +++ b/src/aare/gui/threads/daq_worker.py @@ -39,6 +39,7 @@ class DAQWorker(QObject): staff_pgroups_loaded = Signal(list) fluorimeter_update = Signal(list, list, int) fluorimeter_spectrum_update = Signal(FluorescenceSpectrumOutputModel) + sample_resync_completed = Signal(str) error_codes_loaded = Signal(dict) last_error_payload_changed = Signal(dict) @@ -361,6 +362,32 @@ class DAQWorker(QObject): reply.deleteLater() + def _handle_sample_resync_response(self, reply: QNetworkReply): + try: + response_data = self.handle_response(reply) + payload = json.loads(response_data) if response_data else {} + message = str(payload.get("message") or "TELL sample cache resynced.") + logger.info(message) + self.status_message.emit(message, False) + self.sample_resync_completed.emit(message) + self.send_status_request() + except Exception as e: + logger.error(f"Sample resync failed: {e}") + self.http_error.emit(str(e)) + + def _handle_recovery_action_response(self, reply: QNetworkReply, default_message: str): + try: + response_data = self.handle_response(reply) + payload = json.loads(response_data) if response_data else {} + message = str(payload.get("message") or default_message) + logger.info(message) + self.status_message.emit(message, False) + self.recovery_action_completed.emit(message) + self.send_status_request() + except Exception as e: + logger.error(f"Recovery action failed: {e}") + self.http_error.emit(str(e)) + def generic_post(self, url: str, body: str = ""): if self.__base_url is None: logger.info(f"POST /{url}: {body}") @@ -456,30 +483,62 @@ class DAQWorker(QObject): @Slot(str) def free_beamline(self, confirmation_code: str): - self.generic_post( - "state/free_beamline", - json.dumps({"confirmation_code": confirmation_code}), + if self.__base_url is None: + logger.info("POST /state/free_beamline") + return + + request = QNetworkRequest(QUrl(f"{self.__base_url}/state/free_beamline")) + request.setRawHeader(b"Authorization", f"Bearer {self.__token}".encode("utf-8")) + request.setRawHeader(b"Content-Type", b"application/json") + body = json.dumps({"confirmation_code": confirmation_code}) + reply = self.__net_manager.post(request, QByteArray(body.encode("utf-8"))) + reply.finished.connect( + lambda: self._handle_recovery_action_response(reply, "Beamline busy flag cleared.") ) @Slot(str) def take_over_beamline(self, confirmation_code: str): - self.generic_post( - "access/take_over_beamline", - json.dumps({"confirmation_code": confirmation_code}), + if self.__base_url is None: + logger.info("POST /access/take_over_beamline") + return + + request = QNetworkRequest(QUrl(f"{self.__base_url}/access/take_over_beamline")) + request.setRawHeader(b"Authorization", f"Bearer {self.__token}".encode("utf-8")) + request.setRawHeader(b"Content-Type", b"application/json") + body = json.dumps({"confirmation_code": confirmation_code}) + reply = self.__net_manager.post(request, QByteArray(body.encode("utf-8"))) + reply.finished.connect( + lambda: self._handle_recovery_action_response(reply, "Beamline session taken over.") ) @Slot(str) def recover_beamline(self, confirmation_code: str): - self.generic_post( - "recovery/recover_beamline", - json.dumps({"confirmation_code": confirmation_code}), + if self.__base_url is None: + logger.info("POST /recovery/recover_beamline") + return + + request = QNetworkRequest(QUrl(f"{self.__base_url}/recovery/recover_beamline")) + request.setRawHeader(b"Authorization", f"Bearer {self.__token}".encode("utf-8")) + request.setRawHeader(b"Content-Type", b"application/json") + body = json.dumps({"confirmation_code": confirmation_code}) + reply = self.__net_manager.post(request, QByteArray(body.encode("utf-8"))) + reply.finished.connect( + lambda: self._handle_recovery_action_response(reply, "Beamline recovered to Maintenance.") ) @Slot(str) def recovery_unmount_sample(self, confirmation_code: str): - self.generic_post( - "recovery/unmount_sample", - json.dumps({"confirmation_code": confirmation_code}), + if self.__base_url is None: + logger.info("POST /recovery/unmount_sample") + return + + request = QNetworkRequest(QUrl(f"{self.__base_url}/recovery/unmount_sample")) + request.setRawHeader(b"Authorization", f"Bearer {self.__token}".encode("utf-8")) + request.setRawHeader(b"Content-Type", b"application/json") + body = json.dumps({"confirmation_code": confirmation_code}) + reply = self.__net_manager.post(request, QByteArray(body.encode("utf-8"))) + reply.finished.connect( + lambda: self._handle_recovery_action_response(reply, "Recovery unmount completed.") ) @Slot(str) @@ -732,6 +791,18 @@ class DAQWorker(QObject): def beam_size_mm(self, x: float, y: float): self.generic_post(f"beamline/beam_size_mm?x={x}&y={y}") + @Slot() + def resync_sample(self): + if self.__base_url is None: + logger.info("POST /sample/resync") + return + + request = QNetworkRequest(QUrl(f"{self.__base_url}/sample/resync")) + request.setRawHeader(b"Authorization", f"Bearer {self.__token}".encode("utf-8")) + request.setRawHeader(b"Content-Type", b"application/json") + reply = self.__net_manager.post(request, QByteArray(b"")) + reply.finished.connect(lambda: self._handle_sample_resync_response(reply)) + @Slot() def unmount(self): self.generic_post("sample/unmount") From ee6b01005b3a52aee5edb5a7266f56ef57d0b6f3 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 10 Mar 2026 11:56:00 +0100 Subject: [PATCH 140/144] DAQ/TELL - added check for motion_sync events --- src/aare/devices/tell_client.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/src/aare/devices/tell_client.py b/src/aare/devices/tell_client.py index 7fba4141..b23af502 100755 --- a/src/aare/devices/tell_client.py +++ b/src/aare/devices/tell_client.py @@ -258,7 +258,7 @@ class TellClient: wait_timeout = timeout + self.estimate_mounting_time(segment) logger.info("waiting for mount to complete") if wait and segment in "ABCDEF": - event, value = self.pshell.wait_events({"state": None, "motion_task": "dry", "gripper_detection" : "No Pin in Gripper"}, timeout=wait_timeout) + event, value = self.pshell.wait_events({"state": None, "motion_task": "dry", "gripper_detection" : "No Pin in Gripper", "motion_sync": "Robot Clear after mount"}, timeout=wait_timeout) if event is None or event == "state": logger.info(f"event: {event} occurred with value: {value}, checking command completed okay") self.check_command_ok( @@ -272,6 +272,10 @@ class TellClient: logger.info(f"event: {event} occurred with value: {value}") logger.info(" Drying occurring, releasing interface to user") return value + elif event == "motion_sync" and value == "Robot Clear after mount": + logger.info(f"event: {event} occurred with value: {value}") + logger.info(" Mounting complete, releasing interface to user") + return value else: logger.info(f"Unexpected event: {event} occurred with value: {value}") logger.info("Checking command completed okay anyway") From a8acda20afe3f107e3054e0019f13cd757534ad1 Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 10 Mar 2026 11:56:22 +0100 Subject: [PATCH 141/144] GUI: fixed matplotlib bug in facedetectionpanel that was causing a non-fatal but unnecessary warning --- src/aare/gui/panels/face_detection_panel.py | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/src/aare/gui/panels/face_detection_panel.py b/src/aare/gui/panels/face_detection_panel.py index d6d3f929..9551551d 100644 --- a/src/aare/gui/panels/face_detection_panel.py +++ b/src/aare/gui/panels/face_detection_panel.py @@ -28,7 +28,14 @@ class FaceDetectionPanel(QWidget): def _set_step_size(val: float): self.step_size = int(val) - self.fig = Figure(figsize=(5, 4), tight_layout=True) + self.fig = Figure(figsize=(5, 4)) + self.fig.subplots_adjust( + left=0.12, + right=0.97, + bottom=0.10, + top=0.95, + hspace=0.45, + ) self.canvas = FigureCanvas(self.fig) self.ax1 = self.fig.add_subplot(2, 1, 1) self.ax2 = self.fig.add_subplot(2, 1, 2) From 425ab40b211928f599156ab7a6dd5978edc85eeb Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 10 Mar 2026 13:23:15 +0100 Subject: [PATCH 142/144] Daq: bug in mount --- src/aare/daq/daq.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/aare/daq/daq.py b/src/aare/daq/daq.py index 42a5a0d8..9a72ec0e 100644 --- a/src/aare/daq/daq.py +++ b/src/aare/daq/daq.py @@ -465,7 +465,7 @@ class AareDAQ: if target is not None: if target.db_id is not None: self.__aare.sample_mounted(target) - self.save_screenshot_db(target.db_id, f"{target.bd_id}_mounted") + self.save_screenshot_db(target.db_id, f"{target.db_id}_mounted") @property From ace06a21ea239a9d9219289c7cc810809f28a24b Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 10 Mar 2026 13:24:54 +0100 Subject: [PATCH 143/144] Tell: fix event names for mounting and added missing events for gripper detection and motion sync. WIP --- src/aare/devices/tell_client.py | 16 ++++++++++++---- 1 file changed, 12 insertions(+), 4 deletions(-) diff --git a/src/aare/devices/tell_client.py b/src/aare/devices/tell_client.py index b23af502..9ff31f99 100755 --- a/src/aare/devices/tell_client.py +++ b/src/aare/devices/tell_client.py @@ -258,21 +258,29 @@ class TellClient: wait_timeout = timeout + self.estimate_mounting_time(segment) logger.info("waiting for mount to complete") if wait and segment in "ABCDEF": - event, value = self.pshell.wait_events({"state": None, "motion_task": "dry", "gripper_detection" : "No Pin in Gripper", "motion_sync": "Robot Clear after mount"}, timeout=wait_timeout) + event, value = self.pshell.wait_events({"state": None, "Motion Task": "dry", + "Gripper detection" : None, + "Motion Sync": "Robot Clear after mount"}, timeout=wait_timeout) if event is None or event == "state": logger.info(f"event: {event} occurred with value: {value}, checking command completed okay") self.check_command_ok( timeout=wait_timeout, msg=f"Mount {segment}{puck}-{sample}: " ) return value - elif event == "gripper_detection": + elif event == "Gripper detection" and value == "No Pin in Gripper": logger.info(f"gripper detection: {event} occurred with value: {value}") return value - elif event == "motion_task" and value == "dry": + elif event == "Gripper detection" and value == "Pin still in Gripper": + logger.info(f"gripper detection: {event} occurred with value: {value}") + return value + elif event == "Gripper detection" and value == "Pin is lost": + logger.info(f"gripper detection: {event} occurred with value: {value}") + return value + elif event == "Motion Task" and value == "dry": logger.info(f"event: {event} occurred with value: {value}") logger.info(" Drying occurring, releasing interface to user") return value - elif event == "motion_sync" and value == "Robot Clear after mount": + elif event == "Motion Sync" and value == "Robot Clear after mount": logger.info(f"event: {event} occurred with value: {value}") logger.info(" Mounting complete, releasing interface to user") return value From b3ca9dbc305720c34dfd20454c2232ab868b63ac Mon Sep 17 00:00:00 2001 From: appleb_m Date: Tue, 10 Mar 2026 13:27:36 +0100 Subject: [PATCH 144/144] Update CHANGELOG.md --- CHANGELOG.md | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 735b2dcf..3f2e470b 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -8,6 +8,9 @@ - Added SAS-TT school demo temporary raster function. - Enhanced status polling with robust error handling for `Tell` and `Smargon` communication. - `ml_box` updated with beamline-specific URLs and model class types. + - Added separate authentication pathway for staff-only beamline recovery operations. + - Improved database message limits for omega (to 2 decimal places). + - Added screenshot to database from GUI; face detection sequence and beamline recovery updates. - **GUI**: - Major rework of `predict_subscriber` and prediction stream updates; corrected default ZMQ stream for ML box. - Added FPS counter and sharpness monitoring for sample camera. @@ -16,15 +19,23 @@ - New `display_status` for user-facing connection/error messages. - Integrated `dev_help` panel with logs and error code search. - Added framework for building GUI tutorials. + - Added alert banner for critical disconnection issues (server/Tell). + - New screenshot button and controls in sample camera GUI. + - Added SSE support for face detection panel updates during automation. + - Integrated sample position resync in recovery panel to reduce Tell polling. - **TELL**: - Major refactor: removed redundant code and added simulated client. - Converted wait functions to use inbuilt pshell functionality. - Added error handling and proxy support for connection failures. + - Fixed event names for mounting, and added missing events for gripper detection and motion sync. + - Refactored SSE connection handling for simplicity and robustness. - **Common & Devices**: - Added centralized `error_codes` and refactored exception handling to use FastAPI handlers. - Expanded device support with new PVs (beamstop, scintillator, collimator, cryojet, etc.). - - Cleaned up `mx_lib` wait functions and `my_motor` class. + - Cleaned up `mx_lib` wait functions and `my_motor` class; added `clean_filename` helper. - Improved Smargon connection exception handling. + - Updated ABR_POS_HOME configuration and added comments for cryo positions. + - Added image upload comments and improved authentication error messaging. - **Infrastructure**: - Updated dependencies (added `pshell`) and improved documentation autodeployment workflows. - Refactored package structure and imports.

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