gitea workflows: updated pyproject toml dependencies, tellupdater updates and fix error in test_beamcenter_fit_no_contours

pyproject.toml

@@ -31,6 +31,15 @@ dependencies = [
     "httpx>=0.28.1",
 ]
 
+[project.optional-dependencies]
+test = [
+    "pytest==9.0.3",
+    "pytest-cov==7.1.0",
+    "pytest-mock==3.14.0",
+    "pytest-qt==4.4.0",
+    "pytest-asyncio==0.25.3",
+]
+
 [lint]
 ignore = ["F401", "F541", "W503", "W504"]
 
@@ -45,6 +54,8 @@ url = "https://gitea.psi.ch/api/packages/mx/pypi/simple"
 testpaths = ["tests"]
 python_files = ["test_*.py"]
 norecursedirs = ["scripts", ".venv", "logs", "docs"]
+asyncio_mode = "auto"
+asyncio_default_fixture_loop_scope = "function"
 markers = [
     "integration: tests that require external systems or secrets",
 ]

src/aare/daq/tellupdater.py

@@ -15,6 +15,10 @@ from aare.common.beamline import MXBeamline, mx_beamline
 
 logger = setup_logger("aareDAQ")
 
+# Initialize TELL client and DB wrapper to None so they can be patched in tests
+tell_client = None
+aare_db = None
+
 # Track current state
 current_pucks = []
 last_pucks_sent = []
@@ -196,6 +200,8 @@ def main():
 
 if __name__ == "__main__":
     # Configuration
+    tell_client = TellClient(bl=mx_beamline())
+    aare_db = AareWrapper(bl=mx_beamline())
 
     beamline = mx_beamline()
     SLOT_IDENTIFIER = beamline.value.upper()
@@ -205,8 +211,4 @@ if __name__ == "__main__":
     WS_HEADERS = [f"X-Shared-Password: {os.getenv('AAREDB_SHARED_PASSWORD')}"]
     print(WS_HEADERS)
 
-    # Initialize TELL client and DB wrapper
-    # Use your beamline enum/value
-    tell_client = TellClient(bl=beamline)
-    aare_db = AareWrapper(bl=beamline)
     main()

tests/unit/daq/test_beamcenterfit.py

@@ -51,7 +51,7 @@ def test_beamcenter_fit_no_converge():
 def test_beamcenter_fit_no_contours():
     # Completely black image, max(contours) will fail
     image = np.zeros((100, 100), dtype=np.uint8)
-    with pytest.raises(ValueError, match="max\(\) (arg is an empty sequence|iterable argument is empty)"):
+    with pytest.raises(ValueError, match=r"max\(\) (arg is an empty sequence|iterable argument is empty)"):
         beamcenter_fit(image)
 
 def test_beamcenter_fit_small_blob():