Merge branch 'backlash-in-stage' into 'v3'

Backlash correction in base stage class

Closes #420

See merge request openflexure/openflexure-microscope-server!509
This commit is contained in:
Julian Stirling 2026-03-02 19:10:46 +00:00
commit dc2bc77dbb
10 changed files with 490 additions and 41 deletions

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@ -22,7 +22,7 @@ import labthings_fastapi as lt
from labthings_fastapi.types.numpy import NDArray
from .camera import BaseCamera, CaptureParams
from .stage import BaseStage
from .stage import BacklashCompensation, BaseStage
LOGGER = logging.getLogger(__name__)
MIN_TEST_IMAGE_COUNT = 3
@ -458,14 +458,17 @@ class AutofocusThing(lt.Thing):
up to 10 times.
"""
attempt = 0
backlash = 200
with JPEGSharpnessMonitor(self._stage, self._cam) as sharpness_monitor:
while attempt < 10:
attempt += 1
if start == "centre":
self._stage.move_relative(x=0, y=0, z=-int(backlash + dz / 2))
self._stage.move_relative(x=0, y=0, z=backlash)
self._stage.move_relative(
x=0,
y=0,
z=-int(dz / 2),
backlash_compensation=BacklashCompensation.Z_ONLY,
)
# Always start centrally for future runs
start = "centre"
@ -480,8 +483,10 @@ class AutofocusThing(lt.Thing):
target_max = np.max(heights) - dz / 5
# move to the peak
self._stage.move_absolute(z=peak_height - backlash)
self._stage.move_absolute(z=peak_height)
self._stage.move_absolute(
z=peak_height,
backlash_compensation=BacklashCompensation.Z_ONLY,
)
if target_min < peak_height < target_max:
# If it is within the target range then return
@ -622,12 +627,10 @@ class AutofocusThing(lt.Thing):
# Better to start too low and take too many images than too high and need to refocus
self._stage.move_relative(
z=-int(
stack_parameters.steps_undershoot
+ stack_parameters.backlash_correction
+ stack_parameters.stack_z_range / 2
)
stack_parameters.steps_undershoot + stack_parameters.stack_z_range / 2
),
backlash_compensation=BacklashCompensation.Z_ONLY,
)
self._stage.move_relative(z=stack_parameters.backlash_correction)
captures: list[CaptureInfo] = []
# Always check for focus using the the last `min_images_to_test` in the

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@ -141,11 +141,15 @@ class CameraStageMapper(lt.Thing):
except lt.exceptions.InvocationCancelledError as e:
self.logger.info("User cancelled the camera stage mapping calibration")
self.logger.info("Returning to starting position")
self._stage.move_absolute(**starting_position, block_cancellation=True)
self._stage.move_absolute(
**starting_position, block_cancellation=True, backlash_compensation=None
)
raise e
except MappingError as e:
self.logger.info("Returning to starting position due to failed calibration")
self._stage.move_absolute(**starting_position, block_cancellation=True)
self._stage.move_absolute(
**starting_position, block_cancellation=True, backlash_compensation=None
)
raise e
result["move_history"] = recorded_move.history
result["image_resolution"] = self._cam.capture_downsampled_array().shape[:2]
@ -264,6 +268,7 @@ class CameraStageMapper(lt.Thing):
self._stage.move_relative(
**self.convert_image_to_stage_coordinates(x=x, y=y),
block_cancellation=False,
backlash_compensation=None,
)
@lt.action

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@ -37,7 +37,7 @@ from openflexure_microscope_server.utilities import coerce_thing_selector
# Things
from .camera import BaseCamera
from .scan_workflows import ScanWorkflow
from .stage import BaseStage
from .stage import BacklashCompensation, BaseStage
T = TypeVar("T")
P = ParamSpec("P")
@ -311,6 +311,7 @@ class SmartScanThing(lt.Thing):
x=next_point[0],
y=next_point[1],
z=z_estimate,
backlash_compensation=BacklashCompensation.XY_ONLY,
)
return (next_point[0], next_point[1], z_estimate)
@ -481,7 +482,9 @@ class SmartScanThing(lt.Thing):
if self._scan_data is not None:
self._stage.move_absolute(
**self.scan_data.starting_position, block_cancellation=True
**self.scan_data.starting_position,
block_cancellation=True,
backlash_compensation=None,
)
@property

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@ -11,6 +11,7 @@ As the object will be used as a context manager create the hardware connection i
from __future__ import annotations
import enum
import queue
import threading
from collections.abc import Mapping, Sequence
@ -32,6 +33,25 @@ class RedefinedBaseMovementError(RuntimeError):
"""
class BacklashCompensation(enum.Enum):
"""The axes to apply backlash compensation to.
This will perform a correction step - if necessary - on every
chosen axis, even if that axis position isn't set to move in
the calling movement
* MOVEMENT_AXES - Only the axes that are moving.
* ALL_AXES - All axes
* XY_ONLY - Only the x and y axes.
* Z_ONLY - The z-axis only.
"""
MOVEMENT_AXES = enum.auto()
ALL_AXES = enum.auto()
XY_ONLY = enum.auto()
Z_ONLY = enum.auto()
class JogCommand:
"""A base class for jog operations."""
@ -101,6 +121,8 @@ class BaseStage(lt.Thing):
self._jog_queue = JogQueue()
self._jog_thread: Optional[threading.Thread] = None
self._hardware_position: Mapping[str, int] = dict.fromkeys(self._axis_names, 0)
# Backlash state is a dict as we mutate it during moves.
self._backlash_state: dict[str, float] = dict.fromkeys(self._axis_names, 0)
# This must be the last thing the function does in case it is caught in a try.
if (
@ -124,6 +146,17 @@ class BaseStage(lt.Thing):
"""Current position of the stage."""
return self._apply_axis_direction(self._hardware_position)
backlash_steps: dict[str, int] = lt.setting(
default={"x": 200, "y": 200, "z": 200}, readonly=True
)
"""The number of steps to elimate backlash. The sign sets the direction.
A positive number sets the direction of the second move in a backlash correction.
For example, consider z=200. If the previous move was more than +200 in z, no
correction is needed. If the last movement was negative then a move of -200,
followed by +200 will wipe out backlash.
"""
moving: bool = lt.property(default=False, readonly=True)
"""Whether the stage is in motion."""
@ -133,9 +166,27 @@ class BaseStage(lt.Thing):
"""Used to convert coordinates between the program frame and the hardware frame."""
def update_position(self) -> None:
"""Read position from the stage and set the corresponding property."""
"""Update the position property from the stage."""
# Copy the position before the move.
pos_before = dict(self.position)
self._hardware_update_position()
for axis in self._axis_names:
# The state delta should be 1 for a move equal to backlash steps.
# moving as this will move the state from 0 (fully disengaged) to
# 1, fully the other.
delta = (self.position[axis] - pos_before[axis]) / self.backlash_steps[axis]
# apply value and clamp to within range from 0 to 1
self._backlash_state[axis] = max(
0, min(1, self._backlash_state[axis] + delta)
)
def _hardware_update_position(self) -> None:
"""Read position from the stage and set internal attribute _hardware_position.
_hardware_position should only be set in this function.
"""
raise NotImplementedError(
"StageThings must define their own update_position method"
"StageThings must define their own _hardware_update_position method"
)
@overload
@ -192,12 +243,25 @@ class BaseStage(lt.Thing):
self.axis_inverted = direction
@lt.action
def move_relative(self, block_cancellation: bool = False, **kwargs: int) -> None:
def move_relative(
self,
block_cancellation: bool = False,
backlash_compensation: Optional[BacklashCompensation] = None,
**kwargs: int,
) -> None:
"""Make a relative move. Keyword arguments should be axis names."""
self._hardware_move_relative(
block_cancellation=block_cancellation,
**self._apply_axis_direction(kwargs),
)
if backlash_compensation is not None:
self._move_with_backlash_correction(
block_cancellation=block_cancellation,
relative=True,
backlash_compensation=backlash_compensation,
**kwargs,
)
else:
self._hardware_move_relative(
block_cancellation=block_cancellation,
**self._apply_axis_direction(kwargs),
)
def _hardware_move_relative(
self, block_cancellation: bool = False, **kwargs: int
@ -211,12 +275,25 @@ class BaseStage(lt.Thing):
)
@lt.action
def move_absolute(self, block_cancellation: bool = False, **kwargs: int) -> None:
def move_absolute(
self,
block_cancellation: bool = False,
backlash_compensation: Optional[BacklashCompensation] = None,
**kwargs: int,
) -> None:
"""Make an absolute move. Keyword arguments should be axis names."""
self._hardware_move_absolute(
block_cancellation=block_cancellation,
**self._apply_axis_direction(kwargs),
)
if backlash_compensation is not None:
self._move_with_backlash_correction(
block_cancellation=block_cancellation,
relative=False,
backlash_compensation=backlash_compensation,
**kwargs,
)
else:
self._hardware_move_absolute(
block_cancellation=block_cancellation,
**self._apply_axis_direction(kwargs),
)
def _hardware_move_absolute(
self,
@ -231,6 +308,78 @@ class BaseStage(lt.Thing):
"StageThings must define their own _hardware_move_absolute method"
)
def _move_with_backlash_correction(
self,
block_cancellation: bool,
relative: bool,
backlash_compensation: BacklashCompensation,
**kwargs: int,
) -> None:
"""Make a movement with backlash correction.
:param block_cancellation: True to prevent the move being cancelled.
:param relative: True if the kwargs are relative moves. False if they are
absolute.
:param backlash_compensation: A BacklashCompensation which sets which axes to
apply backalsh compensation to.
:param kwargs: A mapping of axis name to integer for the movement.
"""
# Calculate relative movement
if relative:
move = {ax: kwargs.get(ax, 0) for ax in self._axis_names}
else:
move = {ax: kwargs.get(ax, pos) - pos for ax, pos in self.position.items()}
# Depending on the backlash method decide which axes to check
check_axes: tuple[str, ...]
match backlash_compensation:
case BacklashCompensation.MOVEMENT_AXES:
check_axes = tuple(ax for ax, move in move.items() if move != 0)
case BacklashCompensation.ALL_AXES:
check_axes = self._axis_names
case BacklashCompensation.XY_ONLY:
check_axes = ("x", "y")
case BacklashCompensation.Z_ONLY:
check_axes = ("z",)
case _:
raise ValueError(
f"Unknown backlash compensation method {backlash_compensation}"
)
# Check the backlash state at the end of the move, no need to clip to range of
# 0-1
final_state = {
ax: self._backlash_state[ax] + move[ax] / self.backlash_steps[ax]
for ax in check_axes
}
# If the state is 1 or greater the motors are engaged in the preferred
# direction, if not a correction move is needed.
correction = {
ax: self.backlash_steps[ax]
for ax, state in final_state.items()
if state < 1
}
if correction:
# If there is a correction to apply move in two goes
first_move = {
ax: move[ax] - correction.get(ax, 0) for ax in self._axis_names
}
self._hardware_move_relative(
block_cancellation=block_cancellation,
**self._apply_axis_direction(first_move),
)
self._hardware_move_relative(
block_cancellation=block_cancellation,
**self._apply_axis_direction(correction),
)
else:
# Else just complete the relative move
self._hardware_move_relative(
block_cancellation=block_cancellation,
**self._apply_axis_direction(move),
)
def _hardware_start_move_relative(self, displacement: Sequence[int]) -> None:
"""Start a relative move."""
raise NotImplementedError(

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@ -81,9 +81,12 @@ class DummyStage(BaseStage):
)
"""Used to convert coordinates between the program frame and the hardware frame."""
def update_position(self) -> None:
"""Read position from the stage and set the corresponding property."""
pass
def _hardware_update_position(self) -> None:
"""Read position from the stage and set internal attribute _hardware_position.
_hardware_position should only be set in this function.
"""
self._hardware_position = self.instantaneous_position
def _set_pos_during_move(
self, displacement: Sequence[int], fraction_complete: float
@ -109,7 +112,7 @@ class DummyStage(BaseStage):
# If there is a new movement.
if movement_request is not None:
# Set the hardware position from instantaneous before continuing.
self._hardware_position = self.instantaneous_position
self.update_position()
if movement_request.displacement is None:
# If it is a stop command, stop moving
@ -138,7 +141,7 @@ class DummyStage(BaseStage):
# move is complete
fraction_complete = 1.0
self._set_pos_during_move(displacement, fraction_complete)
self._hardware_position = self.instantaneous_position
self.update_position()
self._movement_ongoing = False
def _check_for_new_move_request(self) -> Optional[DummyStageMovement]:
@ -233,5 +236,5 @@ class DummyStage(BaseStage):
stage.
"""
with self._hardware_lock:
self._hardware_position = dict.fromkeys(self.axis_names, 0)
self.instantaneous_position = self._hardware_position
self.instantaneous_position = dict.fromkeys(self.axis_names, 0)
self.update_position()

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@ -80,8 +80,11 @@ class SangaboardThing(BaseStage):
)
"""Used to convert coordinates between the program frame and the hardware frame."""
def update_position(self) -> None:
"""Read position from the stage and set the corresponding property."""
def _hardware_update_position(self) -> None:
"""Read position from the stage and set internal attribute _hardware_position.
_hardware_position should only be set in this function.
"""
with self._hardware_lock:
self._hardware_position = dict(
zip(self.axis_names, self._sangaboard.position, strict=True)

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@ -267,7 +267,9 @@ class RangeofMotionThing(lt.Thing):
self._rom_data.stage_coords[-1] = self._stage.position
finally:
self._stage.move_absolute(**starting_position, block_cancellation=True)
self._stage.move_absolute(
**starting_position, block_cancellation=True, backlash_compensation=None
)
def _recentre_axis(self, axis: Literal["x", "y"]) -> None:
"""Recentre a single axis.
@ -327,7 +329,9 @@ class RangeofMotionThing(lt.Thing):
# if the distance is less than 1 big step away then move to it and exit
if abs(img_perc) < BIG_STEP:
self.logger.info(f"Estimated centre of {axis}-axis is {estimate[axis]}")
self._stage.move_absolute(**estimate, block_cancellation=False)
self._stage.move_absolute(
**estimate, block_cancellation=False, backlash_compensation=None
)
# Note the second return, the direction, is meaningless here.
return True, 1
self.logger.info(

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@ -60,6 +60,8 @@ def test_looping_autofocus(start_z, max_loc, centre, attempts_expected, passes,
def adjust_pos(**kwargs: int) -> None:
"""Move relative should update position. So make a side effect for the mock."""
# Remove backlash compensation from the dict if it exists.
kwargs.pop("backlash_compensation", None)
for axis, value in kwargs.items():
autofocus_thing._stage.position[axis] += value

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@ -4,6 +4,7 @@ import itertools
import logging
import threading
import time
from dataclasses import dataclass
import pytest
from hypothesis import HealthCheck, given, settings
@ -14,6 +15,7 @@ from labthings_fastapi.testing import create_thing_without_server
from openflexure_microscope_server.things.camera.simulation import SimulatedCamera
from openflexure_microscope_server.things.stage import (
BacklashCompensation,
BaseStage,
JogCommand,
JogQueue,
@ -44,7 +46,7 @@ def test_not_implemented_methods():
"""Check all methods a child class should implement raise NotImplemented."""
stage = create_thing_without_server(BaseStage)
methods_and_args = [
(stage.update_position, ()),
(stage._hardware_update_position, ()),
(stage._hardware_move_relative, ()),
(stage._hardware_move_absolute, ()),
(stage._hardware_start_move_relative, ((1, 2, 3),)),
@ -309,6 +311,279 @@ def test_move_absolute(dummy_stage, path):
)
def test_backlash_state(dummy_stage):
"""Test that the backlash state updates as the stage moves."""
# Use with to start the movement thread.
with dummy_stage:
assert dummy_stage._backlash_state == {"x": 0, "y": 0, "z": 0}
assert dummy_stage.backlash_steps == {"x": 200, "y": 200, "z": 200}
# Move 100 steps to centre of x backlash range
dummy_stage.move_relative(x=100)
assert dummy_stage._backlash_state == {"x": 0.5, "y": 0, "z": 0}
# Move 50 more steps to halfway between centre and "engaged"
dummy_stage.move_relative(x=50)
assert dummy_stage._backlash_state == {"x": 0.75, "y": 0, "z": 0}
# Move back 50 steps to the centre
dummy_stage.move_relative(x=-50)
assert dummy_stage._backlash_state == {"x": 0.5, "y": 0, "z": 0}
# Move 500 steps, now fully engaged
dummy_stage.move_relative(x=500)
assert dummy_stage._backlash_state == {"x": 1, "y": 0, "z": 0}
# Move back 100 steps in the centre of backash range again.
dummy_stage.move_relative(x=-100)
assert dummy_stage._backlash_state == {"x": 0.5, "y": 0, "z": 0}
# Move forward a load to re-engage
dummy_stage.move_relative(x=500)
assert dummy_stage._backlash_state == {"x": 1, "y": 0, "z": 0}
# Move back 200 to be fully at the far side of the backlash range
dummy_stage.move_relative(x=-200)
assert dummy_stage._backlash_state == {"x": 0, "y": 0, "z": 0}
# Further motion changes nothing in state
dummy_stage.move_relative(x=-200)
assert dummy_stage._backlash_state == {"x": 0, "y": 0, "z": 0}
@dataclass()
class BacklashMoveTestCase:
"""Structured information for each test of backlash compensation."""
position: dict[str, float]
backlash_state: dict[str, float]
backlash_steps: dict[str, int]
movement: dict[str, int]
relative: bool
backlash_compensation: BacklashCompensation
result: list[dict[str, int]]
@property
def rel_move(self):
"""The relative movement."""
if self.relative:
return self.movement
return {
ax: self.movement.get(ax, pos) - pos for ax, pos in self.position.items()
}
def validate(self):
"""Check that the total movement in the result is the relative movement requested."""
total = {ax: sum(move[ax] for move in self.result) for ax in self.position}
expected = self.rel_move
assert total == expected
BACKLASH_TEST_MOVEMENTS = [
# Moving 1 step in x against preferred movement direction
BacklashMoveTestCase(
position={"x": 0, "y": 0, "z": 0},
backlash_state={"x": 0, "y": 0, "z": 0},
backlash_steps={"x": 200, "y": 200, "z": 200},
movement={"x": -1, "y": 0, "z": 0},
relative=True,
backlash_compensation=BacklashCompensation.MOVEMENT_AXES,
# There are 2 moves as it is against the direction
result=[{"x": -201, "y": 0, "z": 0}, {"x": 200, "y": 0, "z": 0}],
),
# Moving 1 step in the preferred movement direction
BacklashMoveTestCase(
position={"x": 0, "y": 0, "z": 0},
backlash_state={"x": 0, "y": 0, "z": 0},
backlash_steps={"x": 200, "y": 200, "z": 200},
movement={"x": 1, "y": 0, "z": 0},
relative=True,
backlash_compensation=BacklashCompensation.MOVEMENT_AXES,
# There are 2 moves as 1 step doesn't move the backlash state to engaged.
result=[{"x": -199, "y": 0, "z": 0}, {"x": 200, "y": 0, "z": 0}],
),
# Moving 1 step in the preferred movement direction (already engaged)
BacklashMoveTestCase(
position={"x": 0, "y": 0, "z": 0},
backlash_state={"x": 1, "y": 0, "z": 0},
backlash_steps={"x": 200, "y": 200, "z": 200},
movement={"x": 1, "y": 0, "z": 0},
relative=True,
backlash_compensation=BacklashCompensation.MOVEMENT_AXES,
# Already engaged
result=[{"x": 1, "y": 0, "z": 0}],
),
# Moving 100 steps in the preferred movement direction partially engaged
BacklashMoveTestCase(
position={"x": 0, "y": 0, "z": 0},
backlash_state={"x": 0.7, "y": 0, "z": 0},
backlash_steps={"x": 200, "y": 200, "z": 200},
movement={"x": 100, "y": 0, "z": 0},
relative=True,
backlash_compensation=BacklashCompensation.MOVEMENT_AXES,
# Already 70% to engaged 100 steps creates engagement
result=[{"x": 100, "y": 0, "z": 0}],
),
# Moving 100 steps in the preferred movement direction partially engaged (again)
BacklashMoveTestCase(
position={"x": 0, "y": 0, "z": 0},
backlash_state={"x": 0.3, "y": 0, "z": 0},
backlash_steps={"x": 200, "y": 200, "z": 200},
movement={"x": 100, "y": 0, "z": 0},
relative=True,
backlash_compensation=BacklashCompensation.MOVEMENT_AXES,
# Only 30% to engaged 100 steps doesn't engage, so 2 moves
result=[{"x": -100, "y": 0, "z": 0}, {"x": 200, "y": 0, "z": 0}],
),
## Absolute move versions of the same tests
# Moving 1 step in x against preferred movement direction
BacklashMoveTestCase(
position={"x": 123, "y": 456, "z": 789},
backlash_state={"x": 0, "y": 0, "z": 0},
backlash_steps={"x": 200, "y": 200, "z": 200},
movement={"x": 122},
relative=False,
backlash_compensation=BacklashCompensation.MOVEMENT_AXES,
# There are 2 moves as it is against the direction
result=[{"x": -201, "y": 0, "z": 0}, {"x": 200, "y": 0, "z": 0}],
),
# Moving 1 step in the preferred movement direction
BacklashMoveTestCase(
position={"x": 123, "y": 456, "z": 789},
backlash_state={"x": 0, "y": 0, "z": 0},
backlash_steps={"x": 200, "y": 200, "z": 200},
movement={"x": 124},
relative=False,
backlash_compensation=BacklashCompensation.MOVEMENT_AXES,
# There are 2 moves as 1 step doesn't move the backlash state to engaged.
result=[{"x": -199, "y": 0, "z": 0}, {"x": 200, "y": 0, "z": 0}],
),
# Moving 1 step in the preferred movement direction (already engaged)
BacklashMoveTestCase(
position={"x": 123, "y": 456, "z": 789},
backlash_state={"x": 1, "y": 0, "z": 0},
backlash_steps={"x": 200, "y": 200, "z": 200},
movement={"x": 124},
relative=False,
backlash_compensation=BacklashCompensation.MOVEMENT_AXES,
# Already engaged
result=[{"x": 1, "y": 0, "z": 0}],
),
# Moving 100 steps in the preferred movement direction partially engaged
BacklashMoveTestCase(
position={"x": 123, "y": 456, "z": 789},
backlash_state={"x": 0.7, "y": 0, "z": 0},
backlash_steps={"x": 200, "y": 200, "z": 200},
movement={"x": 223},
relative=False,
backlash_compensation=BacklashCompensation.MOVEMENT_AXES,
# Already 70% to engaged 100 steps creates engagement
result=[{"x": 100, "y": 0, "z": 0}],
),
# Moving 100 steps in the preferred movement direction partially engaged (again)
BacklashMoveTestCase(
position={"x": 123, "y": 456, "z": 789},
backlash_state={"x": 0.3, "y": 0, "z": 0},
backlash_steps={"x": 200, "y": 200, "z": 200},
movement={"x": 223},
relative=False,
backlash_compensation=BacklashCompensation.MOVEMENT_AXES,
# Only 30% to engaged 100 steps doesn't engage, so 2 moves
result=[{"x": -100, "y": 0, "z": 0}, {"x": 200, "y": 0, "z": 0}],
),
## Checking axes correct even when not moving if asked to
BacklashMoveTestCase(
position={"x": 0, "y": 0, "z": 0},
backlash_state={"x": 0, "y": 0, "z": 0},
backlash_steps={"x": 200, "y": 200, "z": 200},
movement={"x": 0, "y": 0, "z": 0},
relative=True,
backlash_compensation=BacklashCompensation.ALL_AXES,
# All move forward and back
result=[{"x": -200, "y": -200, "z": -200}, {"x": 200, "y": 200, "z": 200}],
),
BacklashMoveTestCase(
position={"x": 0, "y": 0, "z": 0},
backlash_state={"x": 0, "y": 0, "z": 0},
backlash_steps={"x": 200, "y": 200, "z": 200},
movement={"x": 0, "y": 0, "z": 0},
relative=True,
backlash_compensation=BacklashCompensation.XY_ONLY,
# x and y correct
result=[{"x": -200, "y": -200, "z": 0}, {"x": 200, "y": 200, "z": 0}],
),
BacklashMoveTestCase(
position={"x": 0, "y": 0, "z": 0},
backlash_state={"x": 0, "y": 0, "z": 0},
backlash_steps={"x": 200, "y": 200, "z": 200},
movement={"x": 0, "y": 0, "z": 0},
relative=True,
backlash_compensation=BacklashCompensation.Z_ONLY,
# z corrects
result=[{"x": 0, "y": 0, "z": -200}, {"x": 0, "y": 0, "z": 200}],
),
## Checking reversed backlash directions (on y)
# In preferred direction
BacklashMoveTestCase(
position={"x": 0, "y": 0, "z": 0},
backlash_state={"x": 0, "y": 0, "z": 0},
backlash_steps={"x": 200, "y": -150, "z": 200},
movement={"x": 0, "y": -300, "z": 0},
relative=True,
backlash_compensation=BacklashCompensation.MOVEMENT_AXES,
# Only 1 move as preferred direction
result=[{"x": 0, "y": -300, "z": 0}],
),
# against preferred direction
BacklashMoveTestCase(
position={"x": 0, "y": 0, "z": 0},
backlash_state={"x": 0, "y": 0, "z": 0},
backlash_steps={"x": 200, "y": -150, "z": 200},
movement={"x": 0, "y": 300, "z": 0},
relative=True,
backlash_compensation=BacklashCompensation.MOVEMENT_AXES,
# 2 moves as against preferred direction
result=[{"x": 0, "y": 450, "z": 0}, {"x": 0, "y": -150, "z": 0}],
),
]
@pytest.mark.parametrize("test_case", BACKLASH_TEST_MOVEMENTS)
def test_backlash_compensated_moves(test_case, dummy_stage, mocker):
"""Test that backlash correction is applied correctly.
See each test case for an explanation.
"""
test_case.validate()
mock_hw_move_rel = mocker.patch.object(dummy_stage, "_hardware_move_relative")
# Set position
dummy_stage._hardware_position = dummy_stage._apply_axis_direction(
test_case.position
)
# check position is set
assert dummy_stage.position == test_case.position
dummy_stage._backlash_state = test_case.backlash_state
dummy_stage.backlash_steps = test_case.backlash_steps
if test_case.relative:
dummy_stage.move_relative(
**test_case.movement,
block_cancellation=False,
backlash_compensation=test_case.backlash_compensation,
)
else:
dummy_stage.move_absolute(
**test_case.movement,
block_cancellation=False,
backlash_compensation=test_case.backlash_compensation,
)
assert mock_hw_move_rel.call_count == len(test_case.result)
for res, call in zip(
test_case.result, mock_hw_move_rel.call_args_list, strict=True
):
applied = call.kwargs
# Remove the block_cancellation argument and add in any axes that are 0
applied.pop("block_cancellation")
applied = {ax: applied.get(ax, 0) for ax in res}
# Check the expected result was applied for each move.
assert applied == dummy_stage._apply_axis_direction(res)
def test_thing_description_equivalence(dummy_stage, mocker):
"""Stop extra actions getting added to child classes without explicit approval.

View file

@ -487,10 +487,12 @@ def test_move_until_edge_error(rom_thing, mocker):
# Error should be raised even though it is in the Try:
with pytest.raises(RuntimeError, match="Mock"):
rom_thing._move_until_edge("y", direction=-1)
# However the "finally" should have executed returning to the starting position
# However the "finally" should have executed, returning to the starting position
assert rom_thing._stage.move_absolute.call_count == 1
abs_move_kwargs = rom_thing._stage.move_absolute.call_args.kwargs
expected_abs_move_kwargs = dict(**mock_position_dict, block_cancellation=True)
expected_abs_move_kwargs = dict(
**mock_position_dict, block_cancellation=True, backlash_compensation=None
)
assert abs_move_kwargs == expected_abs_move_kwargs