Both grids (Qt display_qt, ipywidgets display_widget) now show the absolute-value entry right after the readback, with step and up/down tweak buttons after it. Every row - Adjustable, Detector or sub-assembly - ends in a "⋯" menu (also on right-click of the name in Qt) offering what the item supports: its _widget_* views, a live strip chart in the same window/page, the archiver strip plot window, archiver history (10 min .. 7 days), the indicator gadgets, its memories, details (channels, unit, limits, doc), and in Qt copy name / PV names and Find IOC. In eco desktop new views dock next to the grid; in a notebook they open as closable panels below the row. All GUI code lives in eco/widgets (item_menu, item_menu_qt, item_menu_ipy); archiver's plotting is split into _plot_dataframe_on so the panels can draw into their own figures. Hardware and archiver access stays off the GUI/kernel thread; matplotlib renders from threads are serialized; the rows' menus hold the grid only weakly.
eco — Experiment Control
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Experiment Control \__/\__/\___/
eco is a Python-based control environment for experiments, developed and used at SwissFEL, PSI. It is used both as:
- a library of experimental devices for higher-level Python applications or GUIs, and
- an interactive command-line interface, e.g. from an IPython/Jupyter shell or notebook.
eco follows an object-oriented approach: every device is represented as a Python object with a small, predictable interface, so devices can be freely combined in generic control/acquisition routines and analysed with the scientific Python ecosystem. For a general introduction to object-oriented Python, see e.g. this short introduction.
Documentation
The full documentation — installation, core concepts, and worked examples (listening monitors, archiver data and strip charts, pipeline offload, motor configuration) — lives in docs/ and is built with Sphinx, configured to build on Read the Docs via .readthedocs.yaml.
Build it locally:
pip install -r docs/requirements.txt
sphinx-build -b html docs docs/_build/html
Installation
conda install -c paulscherrerinstitute eco
or, for development, in editable mode from a checkout:
git clone https://github.com/paulscherrerinstitute/eco.git
cd eco
pip install -e .
See Installation for beamline-specific setup (the
eco launcher, .ecorc defaults) and the full dependency picture.
Creating a new device
New devices are implemented as a subclass of Assembly, which provides
naming, aliasing, and shell representation:
from eco.elements.assembly import Assembly
class MyDevice(Assembly):
def __init__(self, name=None):
super().__init__(name=name)
self._append(MySubObject, name="my_sub_object", is_setting=True, is_status=True)
is_setting=True marks the child as a setting of the assembly (shown by
.settings() and captured when settings are saved); is_status=True marks it
as contributing to the assembly's .status(). See
Representing real devices — the Assembly in the full docs
for the rest of the model (Adjustable, Detector, Namespace) and a
from-scratch, runnable example of each.