Merge branch 'recentre-with-rom-methods' into 'v3'
Recentre using RangeOfMotionThing methods Closes #499 and #573 See merge request openflexure/openflexure-microscope-server!429
This commit is contained in:
commit
3ecc41720d
4 changed files with 449 additions and 67 deletions
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@ -31,8 +31,8 @@ from camera_stage_mapping.exceptions import MappingError
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import labthings_fastapi as lt
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from labthings_fastapi.types.numpy import DenumpifyingDict
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from camera_stage_mapping.camera_stage_tracker import Tracker
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from .camera import CameraDependency as CameraClient
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from .stage import StageDependency as Stage
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@ -218,8 +218,8 @@ class CameraStageMapper(lt.Thing):
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.. code-block:: python
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stage_disp = np.dot(
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np.array(image_to_stage_displacement_matrix),
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np.array([dy,dx]),
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np.array(image_to_stage_displacement_matrix),
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)
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"""
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@ -277,14 +277,19 @@ class CameraStageMapper(lt.Thing):
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@lt.thing_action
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def convert_image_to_stage_coordinates(
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self, x: float, y: float
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self, x: float, y: float, **_kwargs: float
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) -> Mapping[str, int]:
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"""Convert image coordinates to stage coordinates."""
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"""Convert image coordinates to stage coordinates. Only x and y are returned."""
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self.assert_calibrated()
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relative_move: np.ndarray = np.dot(
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np.array([y, x]), np.array(self.image_to_stage_displacement_matrix)
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)
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return {"x": int(relative_move[0]), "y": int(relative_move[1])}
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return csm_img_to_stage(self.image_to_stage_displacement_matrix, x=x, y=y)
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@lt.thing_action
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def convert_stage_to_image_coordinates(
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self, x: int, y: int, **_kwargs: int
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) -> Mapping[str, float]:
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"""Convert stage coordinates to image coordinates. Only x and y are returned."""
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self.assert_calibrated()
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return csm_stage_to_img(self.image_to_stage_displacement_matrix, x=x, y=y)
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@lt.thing_property
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def thing_state(self) -> Mapping[str, Any]:
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@ -293,3 +298,54 @@ class CameraStageMapper(lt.Thing):
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k: getattr(self, k)
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for k in ["image_to_stage_displacement_matrix", "image_resolution"]
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}
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def csm_img_to_stage(
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matrix: np.ndarray | list[list[float]],
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*,
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x: float | int,
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y: float | int,
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**_kwargs: int,
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) -> Mapping[str, int]:
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"""Apply any CSM matrix to image coordinates.
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x and y must be kwargs and extra kwargs are ignored, allowing:
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``csm_img_to_stage(matrix, **position)`` to run for a mapping position.
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Note that x and y are the actual (x, y) of the image, not the (m, n) indices used
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by numpy
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:param matrix: The matrix to use in the calculation
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:param x: the x image coordinate (keyword only)
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:param y: the y image coordinate (keyword only)
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:return: The resulting stage coordinates as a mapping.
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"""
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# Note this is (y,x) not (x,y) to put it in numpy image indices
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relative_move: np.ndarray = np.dot(np.array([y, x]), np.array(matrix))
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return {"x": round(relative_move[0]), "y": round(relative_move[1])}
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def csm_stage_to_img(
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matrix: np.ndarray | list[list[float]],
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*,
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x: float | int,
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y: float | int,
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**_kwargs: int,
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) -> Mapping[str, float]:
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"""Apply any CSM matrix to stage coordinates to get image coordinates.
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x and y must be kwargs and extra kwargs are ignored, allowing:
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``csm_img_to_stage(matrix, **position)`` to run for a mapping position.
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Note that x and y are the actual (x, y) of the image, not the (m, n) indices used
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numpy
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:param matrix: The matrix to use in the calculation
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:param x: the x stage coordinate (keyword only)
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:param y: the y stage coordinate (keyword only)
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:return: The resulting img coordinates as a mapping.
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"""
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inverse_matrix = np.linalg.inv(np.array(matrix))
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relative_move = np.dot(np.array([x, y]), inverse_matrix)
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# Note that the relative move is (y, x) as it is from numpy and is in matrix coords.
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return {"x": float(relative_move[1]), "y": float(relative_move[0])}
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@ -18,14 +18,11 @@ import time
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from dataclasses import dataclass
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from threading import Lock
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from scipy.optimize import curve_fit
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import numpy as np
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from camera_stage_mapping import fft_image_tracking
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import labthings_fastapi as lt
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from openflexure_microscope_server.utilities import quadratic
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# Things
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from .autofocus import AutofocusThing
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from .camera_stage_mapping import CameraStageMapper
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@ -72,6 +69,18 @@ class RomDataTracker:
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"""The last stage coordinate recorded."""
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return self.stage_coords[-1].copy()
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def fit_axis(self, axis: Literal["x", "y"]) -> np.poly1d:
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"""Quadratic fit stage z against x or y and return poly1d of fit.
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Note that this considers only one of x and y, and ignores the other coordinate. If
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this function is used on moves where both x and y are changing, it will give misleading
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results.
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"""
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lateral_positions = [i[axis] for i in self.stage_coords]
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z_positions = [i["z"] for i in self.stage_coords]
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fit_params = np.polyfit(lateral_positions, z_positions, 2)
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return np.poly1d(fit_params)
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def predict_z_displacement(
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self,
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axis: Literal["x", "y"],
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@ -85,14 +94,22 @@ class RomDataTracker:
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:param stage_position: The current stage position in stage coordinates.
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:return: The predicted relative z displacement needed to stay in focus.
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"""
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# x or y positions
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lateral_positions = [i[axis] for i in self.stage_coords]
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z_positions = [i["z"] for i in self.stage_coords]
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fit_params, *_others = curve_fit(quadratic, lateral_positions, z_positions)
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z_dest = quadratic(stage_position[axis] + stage_movement[axis], *fit_params)
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fit_func = self.fit_axis(axis)
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z_dest = fit_func(stage_position[axis] + stage_movement[axis])
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return int(z_dest - stage_position["z"])
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def find_turning_point(self, axis: Literal["x", "y"]) -> dict[str, int]:
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"""Find the turing point from the recorded coordinates."""
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fit_func = self.fit_axis(axis)
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turning_loc = fit_func.deriv().roots[0]
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turning_z = fit_func(turning_loc)
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# As we only move in 1 direction, pull the other axis from the coords.
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other_axis = "x" if axis == "y" else "y"
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other_coord = self.stage_coords[-1][other_axis]
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return {axis: int(turning_loc), other_axis: other_coord, "z": int(turning_z)}
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@dataclass
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class RomDeps:
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@ -197,6 +214,51 @@ class RangeofMotionThing(lt.Thing):
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"Step Range": step_range,
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}
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@lt.thing_action
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def perform_recentre(
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self,
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autofocus: AutofocusDep,
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stage: StageDep,
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cam: CamDep,
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csm: CSMDep,
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logger: lt.deps.InvocationLogger,
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) -> None:
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"""Measures the curvature of the motion to centre x and y axes.
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:param autofocus: A raw_thing_client dependency for autofocus.
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:param stage: A raw_thing_client depeendency for the microscope stage.
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:param cam: A raw_thing_client depeendency for the camera.
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:param csm: A raw_thing_client depeendency for camera stage mapping.
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:param logger: A raw_thing_client depeendency for the logger.
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"""
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got_lock = self._lock.acquire(blocking=False)
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if not got_lock:
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raise RuntimeError("Trying to run recentre when a test is already running.")
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try:
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rom_deps = RomDeps(
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autofocus=autofocus, stage=stage, csm=csm, cam=cam, logger=logger
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)
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logger.info("Recentring the stage.")
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self._set_stream_resolution(cam)
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# Strictly typed definitions to iterate over for MyPys sake.
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axes: tuple[Literal["x"], Literal["y"]] = ("x", "y")
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for axis in axes:
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self._recentre_axis(axis, rom_deps)
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centre = rom_deps.stage.position
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centre_str = f"({centre['x']}, {centre['y']})"
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rom_deps.logger.info(f"Centre is estimated at {centre_str}.")
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# Set the central position to (0,0,0)
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rom_deps.stage.set_zero_position()
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rom_deps.logger.info("Position reset to (0, 0, 0).")
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finally:
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self._lock.release()
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def _set_stream_resolution(self, cam: CamDep) -> None:
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"""Set the self._stream_resolution attribute by reading camera.
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@ -236,7 +298,7 @@ class RangeofMotionThing(lt.Thing):
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)
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rom_deps.logger.info("Moving the stage in 5 medium sized steps.")
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self._initial_moves_for_z_prediction(
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self._moves_for_z_prediction(
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axis=axis,
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direction=direction,
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rom_deps=rom_deps,
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@ -276,13 +338,87 @@ class RangeofMotionThing(lt.Thing):
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finally:
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rom_deps.stage.move_absolute(**starting_position, block_cancellation=True)
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def _recentre_axis(self, axis: Literal["x", "y"], rom_deps: RomDeps) -> None:
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"""Recentre a single axis.
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:param axis: The axis to recentre
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:param rom_deps: All dependencies that were passed to the calling Action.
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"""
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rom_deps.logger.info(f"Finding centre in {axis}.")
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# A new tracker for this axis.
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self._rom_data = RomDataTracker()
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# Direction is in image coords, initial assumption is that centre is at (0,0).
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direction = self._img_dir_from_stage_coords(
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{"x": 0, "y": 0, "z": 0}, axis, rom_deps
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)
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i = 0
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while True:
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i += 1
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# Find z then make a number of moves (autofocussing and logging position)
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# 5 moves initially (2 subsequently).
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rom_deps.autofocus.looping_autofocus(dz=1000)
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self._rom_data.stage_coords.append(rom_deps.stage.position)
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self._moves_for_z_prediction(
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axis=axis,
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direction=direction,
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rom_deps=rom_deps,
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n_moves=5 if i == 1 else 2,
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)
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centred, direction = self._recentre_decision(axis, rom_deps)
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if centred:
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break
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# If still going at iteration 9 exit
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if i > 9:
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raise RuntimeError(f"Couldn't find centre of {axis}-axis")
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# Make a big z-corrected move towards estimate of centre.
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self._big_z_corrected_movement(axis, direction, rom_deps)
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def _recentre_decision(
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self, axis: Literal["x", "y"], rom_deps: RomDeps
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) -> tuple[bool, Literal[1, -1]]:
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"""Decide what to do next during recentreing.
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The algorithm here:
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* Estimate turning point location
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* Check if distance to point is further than a "BIG_STEP"
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* If smaller, move to estimated centre, and return that it is centred
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* If larger, return that it is not centred, and the direction to move in.
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:param axis: The axis to recentre
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:param rom_deps: All dependencies that were passed to the calling Action.
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:return: A tuple. The first value is True for "the stage is now centred" and
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False for "the stage is not centred". The second value is the direction to
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move in, this only has meaning if the first value is False.
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"""
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estimate = self._rom_data.find_turning_point(axis=axis)
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img_perc = self._distance_in_img_percentage(estimate, axis, rom_deps)
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# if the distance is less than 1 big step away then move to it and exit
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if abs(img_perc) < BIG_STEP:
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rom_deps.logger.info(f"Estimated centre of {axis}-axis is {estimate[axis]}")
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rom_deps.stage.move_absolute(**estimate)
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# Note the second return, the direction, is meaningless here.
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return True, 1
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rom_deps.logger.info(
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f"Estimated centre {abs(img_perc):.0f}% of a field of view away, "
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"that is too far to move in one move."
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)
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# Else calculate the desired direction in image coordinates.
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direction = self._img_dir_from_stage_coords(estimate, axis, rom_deps)
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return False, direction
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def _img_percentage_to_img_coords(
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self, fov_perc: int, axis: Literal["x", "y"]
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) -> float:
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"""For a given image percentage and axis return the distance in img coords.
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:param fov_perc: The percentage of field of view the stage should move by.
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:param axis: The resolution of the stream from the camera.
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:param axis: The axis which is being measured. This must be 'x' or 'y'.
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:return: Distance in image coordinates (pixels)
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"""
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if self._stream_resolution is None:
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@ -293,6 +429,45 @@ class RangeofMotionThing(lt.Thing):
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img_index = 0 if axis == "x" else 1
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return (fov_perc / 100) * self._stream_resolution[img_index]
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def _img_dir_from_stage_coords(
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self, target: dict[str, int], axis: Literal["x", "y"], rom_deps: RomDeps
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) -> Literal[1, -1]:
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"""For a target location in stage coords, return the direction in image coordinates.
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:param target: The target poisiton in stage coordinates
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:param axis: The axis which is being measured. This must be 'x' or 'y'.
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:param rom_deps: All dependencies that were passed to the calling Action.
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:return: Direction to move in image coordinates.
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"""
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target_im_coords = rom_deps.csm.convert_stage_to_image_coordinates(**target)
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current_loc = rom_deps.stage.position
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current_loc_im_coords = rom_deps.csm.convert_stage_to_image_coordinates(
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**current_loc
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)
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return -1 if target_im_coords[axis] < current_loc_im_coords[axis] else 1
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def _distance_in_img_percentage(
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self, target: dict[str, int], axis: Literal["x", "y"], rom_deps: RomDeps
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) -> float:
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"""For a target location in stage coords return the distance in percentage of FOV.
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:param target: The target poisiton in stage coordinates
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:param axis: The axis which is being measured. This must be 'x' or 'y'.
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:param rom_deps: All dependencies that were passed to the calling Action.
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:return: Percentage of field of view the stage should move by.
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"""
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if self._stream_resolution is None:
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raise RuntimeError(
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"Stream resolution must be set before converting coords to percentage"
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)
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current_loc = rom_deps.stage.position
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move_stage = {key: target[key] - current_loc[key] for key in target}
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move_img = rom_deps.csm.convert_stage_to_image_coordinates(**move_stage)
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img_index = 0 if axis == "x" else 1
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return (move_img[axis] / self._stream_resolution[img_index]) * 100
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def _movement_in_img_coords(
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self,
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fov_perc: int,
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@ -314,36 +489,37 @@ class RangeofMotionThing(lt.Thing):
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return {"x": distance * direction, "y": 0}
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return {"x": 0, "y": distance * direction}
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def _initial_moves_for_z_prediction(
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def _moves_for_z_prediction(
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self,
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axis: Literal["x", "y"],
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direction: Literal[1, -1],
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rom_deps: RomDeps,
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n_moves: int = 5,
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) -> None:
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"""Perform 5 medium sized moves with autofocus for z feed-forward.
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"""Perform medium sized moves with autofocus for z feed-forward.
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z-feed forward allows prediction of the z-position as the stage moves. For the
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feed forward calculation to work an initial number of measurements must be
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taken. This method performs these initial measurements.
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taken.
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:param direction: The direction the stage moves.
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:param axis: The axis which is being measured. This must be 'x' or 'y'.
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:param rom_deps: All dependencies that were passed to the calling Action
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:param n_moves: Number of moves to make. Default is 5 which is enough for an
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initial z estimate.
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"""
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movement = self._movement_in_img_coords(
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fov_perc=MEDIUM_STEP, axis=axis, direction=direction
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)
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for _loop in range(5):
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for _loop in range(n_moves):
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offset = self._move_and_measure(movement=movement, rom_deps=rom_deps)
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rom_deps.logger.info(f"Offset measured as {offset[axis]}")
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self._rom_data.record_movement(rom_deps.stage.position, offset)
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if _parasitic_motion_detected(movement, offset):
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raise ParasiticMotionError(
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"Parasitic motion detected during initial images to calculate "
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"z-curvature. This may indicate you have started at the end of the "
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"range of travel, or that camera stage mapping is poorly "
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"calibrated."
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"Parasitic motion detected during images to calculate z-curvature. "
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"This may indicate you have started at the end of the range of "
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"travel, or that camera stage mapping is poorly calibrated."
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)
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def _big_z_corrected_movement(
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|
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@ -361,11 +537,11 @@ class RangeofMotionThing(lt.Thing):
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fov_perc=BIG_STEP, axis=axis, direction=direction
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)
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# Convert to stage coordinates
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stage_movemenet = rom_deps.csm.convert_image_to_stage_coordinates(**movement)
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stage_movement = rom_deps.csm.convert_image_to_stage_coordinates(**movement)
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z_disp = self._rom_data.predict_z_displacement(
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axis=axis,
|
||||
stage_movement=stage_movemenet,
|
||||
stage_movement=stage_movement,
|
||||
stage_position=rom_deps.stage.position,
|
||||
)
|
||||
rom_deps.stage.move_relative(z=z_disp)
|
||||
|
|
|
|||
|
|
@ -23,7 +23,6 @@ from functools import wraps
|
|||
import json
|
||||
|
||||
from pydantic import BaseModel
|
||||
import numpy as np
|
||||
|
||||
T = TypeVar("T")
|
||||
P = ParamSpec("P")
|
||||
|
|
@ -345,28 +344,6 @@ def _get_version_from_toml(toml_path: str) -> str:
|
|||
return "Undefined"
|
||||
|
||||
|
||||
# Let MyPy know that the output type matches x.
|
||||
@overload
|
||||
def quadratic(x: np.ndarray, a: float, b: float, c: float) -> np.ndarray: ...
|
||||
@overload
|
||||
def quadratic(x: float, a: float, b: float, c: float) -> float: ...
|
||||
|
||||
|
||||
def quadratic(
|
||||
x: float | np.ndarray, a: float, b: float, c: float
|
||||
) -> float | np.ndarray:
|
||||
"""Quadratic function. Used for predicting z.
|
||||
|
||||
:param x: The point or points at which to evaluate the quadratic. This can be a
|
||||
float or a numpy array. The return will be the same type.
|
||||
:param a: The coefficient of x^2.
|
||||
:param b: The coefficient of x.
|
||||
:param c: The constant coefficient.
|
||||
:return: The quadratic, evaluated at each point in ``x``
|
||||
"""
|
||||
return a * x**2 + b * x + c
|
||||
|
||||
|
||||
# Use overload to clarify to MyPy that if enforce_dict is true, inputs and outputs are
|
||||
# dictionaries
|
||||
@overload
|
||||
|
|
|
|||
|
|
@ -12,6 +12,10 @@ import pytest
|
|||
import labthings_fastapi as lt
|
||||
|
||||
from openflexure_microscope_server.things import stage_measure
|
||||
from openflexure_microscope_server.things.camera_stage_mapping import (
|
||||
csm_img_to_stage,
|
||||
csm_stage_to_img,
|
||||
)
|
||||
|
||||
LOGGER = logging.getLogger("mock-invocation_logger")
|
||||
|
||||
|
|
@ -56,10 +60,10 @@ def example_rom_data():
|
|||
mock_positions = [
|
||||
{"x": 0, "y": 0, "z": 42},
|
||||
{"x": 727, "y": 2, "z": 154},
|
||||
{"x": 1454, "y": 4, "z": 228},
|
||||
{"x": 1454, "y": 4, "z": 248},
|
||||
{"x": 2181, "y": 6, "z": 351},
|
||||
{"x": 2908, "y": 8, "z": 509},
|
||||
{"x": 3635, "y": 10, "z": 617},
|
||||
{"x": 2908, "y": 8, "z": 430},
|
||||
{"x": 3635, "y": 10, "z": 490},
|
||||
]
|
||||
rom_data = stage_measure.RomDataTracker()
|
||||
|
||||
|
|
@ -75,12 +79,19 @@ def test_predict_z(example_rom_data):
|
|||
mock_z_diff = example_rom_data.predict_z_displacement(
|
||||
axis="x",
|
||||
stage_movement={"x": 5243, "y": 0},
|
||||
stage_position={"x": 3635, "y": 10, "z": 617},
|
||||
stage_position={"x": 3635, "y": 10, "z": 490},
|
||||
)
|
||||
expected_z_diff = 1343
|
||||
expected_z_diff = 153
|
||||
assert mock_z_diff == expected_z_diff
|
||||
|
||||
|
||||
def test_find_tuning_point(example_rom_data):
|
||||
"""Check that the prediction for the tuning point and z position."""
|
||||
mock_turn = example_rom_data.find_turning_point(axis="x")
|
||||
expected_turning = {"x": 7580, "y": 10, "z": 661}
|
||||
assert mock_turn == expected_turning
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("movement", "axis", "other_axis"),
|
||||
[
|
||||
|
|
@ -156,10 +167,13 @@ def rom_thing(example_rom_data) -> stage_measure.RangeofMotionThing:
|
|||
def mock_rom_deps(csm_matrix, mocker) -> stage_measure.RomDeps:
|
||||
"""Return a RomDeps object full of mocks, except the logger which is LOGGER."""
|
||||
|
||||
def apply_csm(x: float, y: float) -> dict[str, int]:
|
||||
def apply_csm(x: float, y: float, **_kwargs: float) -> dict[str, int]:
|
||||
"""Convert image coordinates to stage coordinates."""
|
||||
vec = np.dot(np.array([y, x]), np.array(csm_matrix))
|
||||
return {"x": int(vec[0]), "y": int(vec[1])}
|
||||
return csm_img_to_stage(csm_matrix, x=x, y=y)
|
||||
|
||||
def un_apply_csm(x: float, y: float, **_kwargs: float) -> dict[str, float]:
|
||||
"""Convert stage coordinates to image coordinates."""
|
||||
return csm_stage_to_img(csm_matrix, x=x, y=y)
|
||||
|
||||
mock_cam = mocker.Mock()
|
||||
mock_cam.image_is_sample.return_value = (True, "Mocked not measured.")
|
||||
|
|
@ -168,6 +182,7 @@ def mock_rom_deps(csm_matrix, mocker) -> stage_measure.RomDeps:
|
|||
# Set up mock csm to return a CSM matrix
|
||||
mock_csm.image_to_stage_displacement_matrix = csm_matrix
|
||||
mock_csm.convert_image_to_stage_coordinates.side_effect = apply_csm
|
||||
mock_csm.convert_stage_to_image_coordinates.side_effect = un_apply_csm
|
||||
|
||||
return stage_measure.RomDeps(
|
||||
autofocus=mocker.Mock(),
|
||||
|
|
@ -178,6 +193,53 @@ def mock_rom_deps(csm_matrix, mocker) -> stage_measure.RomDeps:
|
|||
)
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("pos", "target_pos", "axis", "expected_dir"),
|
||||
[
|
||||
({"x": 5000, "y": 0, "z": 0}, {"x": 0, "y": 0, "z": 0}, "x", -1),
|
||||
({"x": -5000, "y": 0, "z": 0}, {"x": 0, "y": 0, "z": 0}, "x", 1),
|
||||
({"x": 0, "y": 0, "z": 0}, {"x": 5000, "y": 0, "z": 0}, "x", 1),
|
||||
# Y is flipped due to CSM sign
|
||||
({"x": 0, "y": 5000, "z": 0}, {"x": 0, "y": 0, "z": 0}, "y", 1),
|
||||
],
|
||||
)
|
||||
def test_img_dir_from_stage_coords(
|
||||
pos, target_pos, axis, expected_dir, rom_thing, mock_rom_deps
|
||||
):
|
||||
"""Check image direction is correctly generated."""
|
||||
mock_rom_deps.stage.position = pos
|
||||
direction = rom_thing._img_dir_from_stage_coords(target_pos, axis, mock_rom_deps)
|
||||
assert direction == expected_dir
|
||||
|
||||
|
||||
def test_distance_in_img_percentage_err(rom_thing, mock_rom_deps):
|
||||
"""Check that _distance_in_img_percentage throws error if stream res is not set."""
|
||||
rom_thing._stream_resolution = None
|
||||
with pytest.raises(RuntimeError):
|
||||
rom_thing._distance_in_img_percentage(
|
||||
{"x": 0, "y": 0, "z": 0}, "x", mock_rom_deps
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("pos", "target_pos", "axis", "expected_perc"),
|
||||
[
|
||||
({"x": 5000, "y": 0, "z": 0}, {"x": 0, "y": 0, "z": 0}, "x", -352.44),
|
||||
({"x": -5000, "y": 0, "z": 0}, {"x": 0, "y": 0, "z": 0}, "x", 352.44),
|
||||
({"x": 0, "y": 0, "z": 0}, {"x": 5000, "y": 0, "z": 0}, "x", 352.44),
|
||||
# Y is flipped due to CSM sign
|
||||
({"x": 0, "y": 5000, "z": 0}, {"x": 0, "y": 0, "z": 0}, "y", 462.131),
|
||||
],
|
||||
)
|
||||
def test_distance_in_img_percentage(
|
||||
pos, target_pos, axis, expected_perc, rom_thing, mock_rom_deps
|
||||
):
|
||||
"""Check _distance_in_img_percentage calculates expected values based on mock CSM."""
|
||||
mock_rom_deps.stage.position = pos
|
||||
img_perc = rom_thing._distance_in_img_percentage(target_pos, axis, mock_rom_deps)
|
||||
assert round(img_perc, 3) == expected_perc
|
||||
|
||||
|
||||
def test_offset_from(rom_thing, mock_rom_deps, mocker):
|
||||
"""Check the calls and returns for RangeofMotionThing._offset_from."""
|
||||
# Set up mock for the FFT displacement
|
||||
|
|
@ -402,7 +464,7 @@ def test_big_z_corrected_movement(rom_thing, mock_rom_deps):
|
|||
assert "x" not in move_kwargs
|
||||
assert "y" not in move_kwargs
|
||||
assert "z" in move_kwargs
|
||||
assert move_kwargs["z"] == 1148
|
||||
assert move_kwargs["z"] == 160
|
||||
|
||||
# And one move in image coordinates
|
||||
assert mock_rom_deps.csm.move_in_image_coordinates.call_count == 1
|
||||
|
|
@ -410,7 +472,7 @@ def test_big_z_corrected_movement(rom_thing, mock_rom_deps):
|
|||
assert lat_mov_kwargs == expected_movement
|
||||
|
||||
|
||||
def test_initial_moves_for_z_prediction(rom_thing, mock_rom_deps, mocker):
|
||||
def test_moves_for_z_prediction(rom_thing, mock_rom_deps, mocker):
|
||||
"""Check the initial moves are of the correct size and are recorded."""
|
||||
# Mock the _offset_from and stage.position to return generated dictionaries that
|
||||
# increment each time they are called. (All values 0 the first time, all values 1
|
||||
|
|
@ -428,7 +490,7 @@ def test_initial_moves_for_z_prediction(rom_thing, mock_rom_deps, mocker):
|
|||
rom_thing._rom_data = stage_measure.RomDataTracker()
|
||||
|
||||
# Run it!
|
||||
rom_thing._initial_moves_for_z_prediction("x", direction=-1, rom_deps=mock_rom_deps)
|
||||
rom_thing._moves_for_z_prediction("x", direction=-1, rom_deps=mock_rom_deps)
|
||||
|
||||
# Check that _rom_data now contains the 5 mocked returns in order.
|
||||
assert rom_thing._rom_data.offsets == [{"x": i, "y": i} for i in range(5)]
|
||||
|
|
@ -450,7 +512,7 @@ def test_move_until_edge_error(rom_thing, mock_rom_deps, mocker):
|
|||
return_value=mock_position_dict
|
||||
)
|
||||
mocker.patch.object(
|
||||
rom_thing, "_initial_moves_for_z_prediction", side_effect=RuntimeError("Mock")
|
||||
rom_thing, "_moves_for_z_prediction", side_effect=RuntimeError("Mock")
|
||||
)
|
||||
|
||||
# Remove the mock RomData before starting
|
||||
|
|
@ -493,7 +555,7 @@ def test_move_until_edge(rom_thing, mock_rom_deps, mocker):
|
|||
# Mock the main movement functions
|
||||
mock_init_moves = mocker.patch.object(
|
||||
rom_thing,
|
||||
"_initial_moves_for_z_prediction",
|
||||
"_moves_for_z_prediction",
|
||||
side_effect=add_fake_initial_positions,
|
||||
)
|
||||
mock_big_moves = mocker.patch.object(
|
||||
|
|
@ -544,13 +606,16 @@ def test_move_until_edge(rom_thing, mock_rom_deps, mocker):
|
|||
]
|
||||
|
||||
|
||||
def test_perform_rom_test_locked(rom_thing, mock_rom_deps):
|
||||
"""Check the error if the Rom test is locked."""
|
||||
def test_perform_rom_actions_locked(rom_thing, mock_rom_deps):
|
||||
"""Check the error if running one of the calibration actions while locked."""
|
||||
# Not an RLock so no need to thread.
|
||||
rom_thing._lock.acquire()
|
||||
err_msg = "Trying to run ROM test when a test is already running."
|
||||
with pytest.raises(RuntimeError, match=err_msg):
|
||||
rom_thing.perform_rom_test(**dataclasses.asdict(mock_rom_deps))
|
||||
err_msg = "Trying to run recentre when a test is already running."
|
||||
with pytest.raises(RuntimeError, match=err_msg):
|
||||
rom_thing.perform_recentre(**dataclasses.asdict(mock_rom_deps))
|
||||
|
||||
|
||||
def test_perform_rom_test_(rom_thing, mock_rom_deps, mocker):
|
||||
|
|
@ -598,3 +663,111 @@ def test_perform_rom_test_(rom_thing, mock_rom_deps, mocker):
|
|||
|
||||
assert mock_move_until_edge.call_args_list[3].kwargs["axis"] == "y"
|
||||
assert mock_move_until_edge.call_args_list[3].kwargs["direction"] == -1
|
||||
|
||||
|
||||
def test_perform_recenter(rom_thing, mock_rom_deps, mocker, caplog):
|
||||
"""Check that performing the recentre runs through expected operations."""
|
||||
|
||||
def check_lock(*_args, **_kwargs):
|
||||
"""Check the thing is locked."""
|
||||
assert not rom_thing._lock.acquire(blocking=False)
|
||||
|
||||
mock_set_stream_res = mocker.patch.object(
|
||||
rom_thing, "_set_stream_resolution", side_effect=check_lock
|
||||
)
|
||||
mock_recentre_axis = mocker.patch.object(rom_thing, "_recentre_axis")
|
||||
|
||||
# Set a mock stage position, as we patch _recentre_axis this should be logged
|
||||
# as the centre.
|
||||
mock_rom_deps.stage.position = {"x": 4321, "y": 1234, "z": 0}
|
||||
|
||||
# Unpack the dict and save because it the dictionary is a copy so we can't check
|
||||
# mocks from `mock_rom_deps`
|
||||
mock_deps_dict = dataclasses.asdict(mock_rom_deps)
|
||||
|
||||
with caplog.at_level(logging.INFO):
|
||||
rom_thing.perform_recentre(**mock_deps_dict)
|
||||
|
||||
assert len(caplog.messages) == 3
|
||||
assert caplog.messages[0] == "Recentring the stage."
|
||||
assert caplog.messages[1] == "Centre is estimated at (4321, 1234)."
|
||||
assert caplog.messages[2] == "Position reset to (0, 0, 0)."
|
||||
|
||||
# Check the lock was freed
|
||||
assert rom_thing._lock.acquire(blocking=False)
|
||||
rom_thing._lock.release()
|
||||
|
||||
assert mock_set_stream_res.call_count == 1
|
||||
|
||||
# Recentre called first in x then in y
|
||||
assert mock_recentre_axis.call_count == 2
|
||||
assert mock_recentre_axis.call_args_list[0].args[0] == "x"
|
||||
assert mock_recentre_axis.call_args_list[1].args[0] == "y"
|
||||
|
||||
# check that the position set to zero once
|
||||
assert mock_deps_dict["stage"].set_zero_position.call_count == 1
|
||||
|
||||
|
||||
@pytest.mark.parametrize("true_on", [1, 4, 10, 11])
|
||||
def test_recentre_axis(true_on, rom_thing, mock_rom_deps, mocker):
|
||||
"""Test the high level algorithm of recentring an axis.
|
||||
|
||||
This doesn't include deciding if we are centred or choosing the direction to move.
|
||||
"""
|
||||
## Start such that movement starts negative
|
||||
mock_rom_deps.stage.position = {"x": 10000, "y": 10000, "z": 0}
|
||||
mock_moves = mocker.patch.object(rom_thing, "_moves_for_z_prediction")
|
||||
|
||||
# Mock _recentre_decision so it returns (False, 1) a number of times then finally
|
||||
# (True, 1).
|
||||
decisions = [(False, 1)] * (true_on - 1) + [(True, 1)]
|
||||
mock_recentre_decision = mocker.patch.object(
|
||||
rom_thing, "_recentre_decision", side_effect=decisions
|
||||
)
|
||||
|
||||
if true_on > 10:
|
||||
with pytest.raises(RuntimeError, match="Couldn't find centre"):
|
||||
rom_thing._recentre_axis("x", mock_rom_deps)
|
||||
else:
|
||||
rom_thing._recentre_axis("x", mock_rom_deps)
|
||||
|
||||
# _recentre_decision is called until True or exits after 10 attempts
|
||||
assert mock_recentre_decision.call_count == min(true_on, 10)
|
||||
|
||||
# The _moves_for_z_prediction is called once before any decision, and not called
|
||||
# after a decision of centred. The max call count is 10
|
||||
assert mock_moves.call_count == min(true_on, 10)
|
||||
for i, arg_list in enumerate(mock_moves.call_args_list):
|
||||
# First direction is -ve due to starting pos, then it changes direction
|
||||
# as the mock always returns 1
|
||||
expected_dir = -1 if i < 1 else 1
|
||||
assert arg_list.kwargs["direction"] == expected_dir
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("dist", "direction", "expected_decision"),
|
||||
[
|
||||
(500, 1, (False, 1)), # Big step is 200% this is over, movement is positive.
|
||||
(-500, -1, (False, -1)),
|
||||
(200, 1, (False, 1)),
|
||||
(199, 1, (True, 1)), # Less than 200% FOV movement return centred=True
|
||||
(-199, -1, (True, 1)), # Always return 1 when c
|
||||
],
|
||||
)
|
||||
def test_recentre_decision(
|
||||
dist, direction, expected_decision, rom_thing, mock_rom_deps, mocker
|
||||
):
|
||||
"""What the algorithm decides to do in different situations."""
|
||||
# Mock find turning point just because there is no _rom_data
|
||||
mocker.patch.object(rom_thing._rom_data, "find_turning_point")
|
||||
|
||||
# As _distance_in_img_percentage and _img_dir_from_stage_coords are tested
|
||||
# this test mocks their values and checks the return is as expected
|
||||
mocker.patch.object(rom_thing, "_distance_in_img_percentage", return_value=dist)
|
||||
mocker.patch.object(rom_thing, "_img_dir_from_stage_coords", return_value=direction)
|
||||
|
||||
assert rom_thing._recentre_decision("x", mock_rom_deps) == expected_decision
|
||||
|
||||
# Check that we make an absolute move (to the centre) before returning centred.
|
||||
centred = expected_decision[0]
|
||||
mock_rom_deps.stage.move_absolute.call_count == 1 if centred else 0
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue