x01dcandClaude Sonnet 5
0332f1c681
tomo_scan() only reset the progress dict (projection/subtomo/angle/ tomo_start_time/heartbeat/...) inside the "new scan" block, which runs after the eye/optics-in and filter-out-of-beam gates. If either gate declined (e.g. the setup isn't in measurement condition, which disabling rt feedback can trigger) or the tomo_type-4 angle-file check raised, tomo_scan() returned/raised having never touched progress, leaving the GUI/webpage showing projection/angle/start-time from whatever scan last completed -- arbitrarily old, and easy to mistake for a scan still running. Hoists the "is this a new scan" check to the top of tomo_scan() and calls progress.reset() there, before any gate runs; the heavier new-scan actions (sample DB registration, PDF report, collect_empty_frames(), the 0-deg reference shot) stay exactly where they were, after the gates. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01NPZ9gzN2rt3wgiMnTKyrug
Getting Started with Testing using pytest
BEC is using the pytest framework. It can be installed via
pip install pytest
in your python environment.
We note that pytest is part of the optional-dependencies [dev] of the plugin package.
Introduction
Tests in this package should be stored in the tests directory.
We suggest to sort tests of different submodules, i.e. scans or devices in the respective folder structure, and to folow a naming convention of <test_module_name.py>.
It is mandatory for test files to begin with test_ for pytest to discover them.
To run all tests, navigate to the directory of the plugin from the command line, and run the command
pytest -v --random-order ./tests
Note, the python environment needs to be active.
The additional arg -v allows pytest to run in verbose mode which provides more detailed information about the tests being run.
The argument --random-order instructs pytest to run the tests in random order, which is the default in the CI pipelines.
Test examples
Writing tests can be quite specific for the given function. We recommend writing tests as isolated as possible, i.e. try to test single functions instead of full classes. A very useful class to enable isolated testing is MagicMock. In addition, we also recommend to take a look at the How-to guides from pytest.