102 lines
3.9 KiB
Python
102 lines
3.9 KiB
Python
"""Test data collection from the Raspberry Picamera."""
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import tempfile
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from copy import deepcopy
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from fastapi.testclient import TestClient
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import pytest
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import labthings_fastapi as lt
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from openflexure_microscope_server.things.camera.picamera import (
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StreamingPiCamera2,
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MissingCalibrationError,
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)
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@pytest.fixture
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def picamera_thing() -> StreamingPiCamera2:
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"""Return a StreamingPiCamera2 Thing.
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This is the Thing that the fixture client uses. It can be used to probe the
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Thing directly to check actions had the expected response.
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"""
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return StreamingPiCamera2()
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@pytest.fixture
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def client(picamera_thing) -> lt.ThingClient:
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"""Initialise a test client for the StreamingPiCamera2 Thing.
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This fixture:
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* Sets up a ThingServer,
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* Registers a StreamingPiCamera2 instance at the "/camera/" endpoint
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* Provides a ThingClient for interacting with it during tests.
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"""
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temp_folder = tempfile.TemporaryDirectory()
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server = lt.ThingServer(settings_folder=temp_folder.name)
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server.add_thing(picamera_thing, "/camera/")
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with TestClient(server.app) as test_client:
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client = lt.ThingClient.from_url("/camera/", client=test_client)
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yield client
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def test_get_tuning_algo(picamera_thing):
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"""Test that get_tuning algorithm retrieves tuning algorithms."""
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# Missing algorithm raises an error.
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with pytest.raises(MissingCalibrationError):
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picamera_thing.get_tuning_algo("foo")
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# Or returns None if explicitly told not to error.
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assert picamera_thing.get_tuning_algo("foo", raise_if_missing=False) is None
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# Real algorithm is a dict and contains expected keys
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assert isinstance(picamera_thing.get_tuning_algo("rpi.geq"), dict)
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assert "offset" in picamera_thing.get_tuning_algo("rpi.geq")
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# Set the tuning to None as it is technically optional. And check this
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# is handled gracefully. This needs to be done in a try block as LabThings
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# tries and fails to emit an event.
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try:
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picamera_thing.tuning = None
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except lt.exceptions.NotConnectedToServerError:
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# Labthings will complain that it is not connected to a server
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pass
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# Check it is set to None despite the above LabThings issue.
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assert picamera_thing.tuning is None
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# Raises an error as there is no tuning file set.
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with pytest.raises(MissingCalibrationError):
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picamera_thing.get_tuning_algo("rpi.geq")
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# Or returns None if explicitly told not to error.
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assert picamera_thing.get_tuning_algo("rpi.geq", raise_if_missing=False) is None
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def test_calibration(picamera_thing, client):
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"""Check that full auto calibrate completes and set the expected values."""
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# Save copy of default tuning file for end of test
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original_default = deepcopy(picamera_thing.default_tuning)
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# Tuning should start the same as the server is loading with no settings.
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assert picamera_thing.default_tuning == picamera_thing.tuning
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# lens_shading tables should be None when loaded on default tuning as it is
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# adaptive
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assert picamera_thing.lens_shading_tables is None
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# The background detector isn't ready as there is no background image.
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assert not picamera_thing.background_detector_status.ready
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# Run full auto calibrate
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client.full_auto_calibrate()
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# After calibration the tuning files should be different
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assert picamera_thing.default_tuning != picamera_thing.tuning
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# The default should be unchanged
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assert picamera_thing.default_tuning == original_default
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# Lens shading tables should no longer be None
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assert picamera_thing.lens_shading_tables is not None
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# There should be exactly one colour correction matrix
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# (no variations by colour temp)
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assert len(picamera_thing.get_tuning_algo("rpi.ccm")["ccms"]) == 1
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# Green equalisation offset should be set to maximum.
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assert picamera_thing.get_tuning_algo("rpi.geq")["offset"] == 65535
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assert picamera_thing.background_detector_status.ready
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