131 lines
4.5 KiB
Python
131 lines
4.5 KiB
Python
"""Test the server without creating a full HTTP server and socket connection.
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Rather than spinning up a full uvicorn webserver for each test these tests use
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the FastAPI ``TestClient`` or directly communicate with the underlying
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LabThings-FastAPI code. This increases speed of testing significantly.
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For tests that require a full running server see the ``lifecycle_test``
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directory in the tests directory.
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This file used to be called test_dummy_server when it was in the unit_test suite, but
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it has been moved as it artificaially inflated coverage.
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"""
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import json
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import os
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import numpy as np
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import piexif
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import pytest
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from httpx import HTTPStatusError
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from PIL import Image
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from ..shared_utils.lt_test_utils import LabThingsTestEnv
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THIS_DIR = os.path.dirname(os.path.abspath(__file__))
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REPO_ROOT = os.path.dirname(os.path.dirname(THIS_DIR))
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SIM_CONFIG = os.path.join(REPO_ROOT, "ofm_config_simulation.json")
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@pytest.fixture
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def test_env():
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"""Yield a server with a very basic configuration."""
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with open(SIM_CONFIG, "r", encoding="utf-8") as f_obj:
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config_dict = json.load(f_obj)
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with LabThingsTestEnv(things=config_dict["things"]) as env:
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yield env
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def test_autofocus(test_env):
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"""Test Fast Autofocus can run doesn't raise an exception."""
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stage = test_env.get_thing_client("stage")
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autofocus = test_env.get_thing_client("autofocus")
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assert stage.position["z"] == 0
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# Autofocus 5 times and check each ends within 500 steps
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for i in range(5):
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autofocus.fast_autofocus()
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assert abs(stage.position["z"]) < 500, f"Autofocus failed on iteration {i}"
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def test_grab_jpeg(test_env):
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"""Check that grab_jpeg returns a blob that can be opened."""
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camera = test_env.get_thing_client("camera")
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blob = camera.grab_jpeg()
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image = Image.open(blob.open())
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assert image.size == (820, 616)
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def test_capture_jpeg_metadata(test_env):
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"""Check that the position is encoded into the image metadata."""
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camera = test_env.get_thing_client("camera")
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blob = camera.capture_jpeg()
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image = Image.open(blob.open())
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exif_dict = piexif.load(image.info["exif"])
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encoded_metadata = exif_dict["Exif"][piexif.ExifIFD.UserComment]
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metadata = json.loads(encoded_metadata)
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assert "position" in metadata["stage"]
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assert metadata["stage"]["position"] == {"x": 0, "y": 0, "z": 0}
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assert image.size == (820, 616)
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def test_stage(test_env):
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"""Test moving the stage forwards and backwards."""
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stage = test_env.get_thing_client("stage")
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start = stage.position
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move = {"x": 1, "y": 2, "z": 3}
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move_back = {"x": -1, "y": -2, "z": -3}
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stage.move_relative(**move)
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pos = stage.position
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assert start["x"] + move["x"] == pos["x"]
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assert start["y"] + move["y"] == pos["y"]
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assert start["z"] + move["z"] == pos["z"]
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# Move back
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stage.move_relative(**move_back)
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pos = stage.position
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# Check nack at start.
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assert start["x"] == pos["x"]
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assert start["y"] == pos["y"]
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assert start["z"] == pos["z"]
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def test_capture_array(test_env):
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"""Capture array from simulation and check the size is as expected."""
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camera = test_env.get_thing_client("camera")
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array = np.asarray(camera.capture_array())
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assert array.shape == (616, 820, 3)
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def test_camera_stage_mapping_calibration(test_env):
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"""Check that camera stage mapping runs and returns the expected result."""
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camera = test_env.get_thing_client("camera")
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# Remove camera settling time for speed.
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camera.settling_time = 0
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csm = test_env.get_thing_client("camera_stage_mapping")
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stage = test_env.get_thing_client("stage")
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# Check it starts uncalibrated
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assert csm.calibration_required
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assert csm.image_to_stage_displacement_matrix is None
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assert csm.last_calibration is None
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# And therefore that actions error
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with pytest.raises(HTTPStatusError):
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csm.move_in_image_coordinates(x=10)
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# Calibrate
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csm.calibrate_xy()
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assert not csm.calibration_required
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assert csm.image_to_stage_displacement_matrix is not None
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assert isinstance(csm.last_calibration, dict)
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# Check it returned home
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assert stage.position == {"x": 0, "y": 0, "z": 0}
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csm.move_in_image_coordinates(x=10, y=0)
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assert stage.position == {"x": -5, "y": 0, "z": 0}
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csm_matrix = csm.image_to_stage_displacement_matrix
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expected_matrix = [[0, 0.5], [-0.5, 0]]
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assert isinstance(csm_matrix, list)
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# Check CSM is as expected to an absolute tolerance of 1e-3
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assert np.allclose(csm_matrix, expected_matrix, atol=1e-3)
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