Add unit test to check tuning is persistent after picamera calibration and modifying LST

This commit is contained in:
Julian Stirling 2025-10-28 22:22:00 +00:00
parent ee2ef848b1
commit e9c912d910

View file

@ -1,6 +1,7 @@
"""Test data collection from the Raspberry Picamera."""
from copy import deepcopy
import tempfile
import pytest
@ -10,6 +11,8 @@ from openflexure_microscope_server.things.camera.picamera import (
MissingCalibrationError,
)
from .cam_test_utils import camera_test_client
def test_get_tuning_algo(picamera_thing):
"""Test that get_tuning algorithm retrieves tuning algorithms."""
@ -73,3 +76,41 @@ def test_calibration(picamera_thing, picamera_client):
# Green equalisation offset should be set to maximum.
assert picamera_thing.get_tuning_algo("rpi.geq")["offset"] == 65535
assert picamera_thing.background_detector_status.ready
def test_tuning_is_persistent():
"""Check that tuning file adjustments are persistent."""
# First check full auto-calibrate is persistent if same save dir is used.
with tempfile.TemporaryDirectory() as tmpdir:
with camera_test_client(settings_folder=tmpdir) as client:
initial_tuning = deepcopy(client.tuning)
client.full_auto_calibrate()
calibrated_tuning = deepcopy(client.tuning)
# Full auto calibrate should have saved the tuning.
assert initial_tuning != calibrated_tuning
# Reload the camera and server from scratch
with camera_test_client(settings_folder=tmpdir) as client:
initial_tuning = deepcopy(client.tuning)
# On reload the initial tuning is as it was when calibrated last run
assert initial_tuning == calibrated_tuning
# Set the lens shading to be flat
client.flat_lens_shading()
flat_tuning = deepcopy(client.tuning)
assert flat_tuning != calibrated_tuning
# Reload to check the flat lst persists
with camera_test_client(settings_folder=tmpdir) as client:
initial_tuning = deepcopy(client.tuning)
# On reload the initial tuning the flat tuning
assert initial_tuning == flat_tuning
# Reset the lens shading to what is in the default tuning file
client.reset_lens_shading()
flat_tuning = deepcopy(client.tuning)
assert flat_tuning != calibrated_tuning
# Reload the one more time to check the reset lst persists
with camera_test_client(settings_folder=tmpdir) as client:
initial_tuning = deepcopy(client.tuning)
# On reload the initial tuning the flat tuning
assert initial_tuning == flat_tuning