Files
bec_widgets/bec_widgets/widgets/plots/motor_map.py
T

424 lines
15 KiB
Python

from __future__ import annotations
from collections import defaultdict
from typing import Optional, Union
import numpy as np
import pyqtgraph as pg
from bec_lib import MessageEndpoints
from pydantic import Field
from qtpy import QtCore, QtGui
from qtpy.QtCore import Signal as pyqtSignal
from qtpy.QtCore import Slot as pyqtSlot
from qtpy.QtWidgets import QWidget
from bec_widgets.utils import EntryValidator
from bec_widgets.widgets.plots.plot_base import BECPlotBase, WidgetConfig
from bec_widgets.widgets.plots.waveform import Signal, SignalData
class MotorMapConfig(WidgetConfig):
signals: Optional[Signal] = Field(None, description="Signals of the motor map")
color_map: Optional[str] = Field(
"Greys", description="Color scheme of the motor position gradient."
) # TODO decide if useful for anything, or just keep GREYS always
scatter_size: Optional[int] = Field(5, description="Size of the scatter points.")
max_points: Optional[int] = Field(1000, description="Maximum number of points to display.")
num_dim_points: Optional[int] = Field(
100,
description="Number of points to dim before the color remains same for older recorded position.",
)
precision: Optional[int] = Field(2, description="Decimal precision of the motor position.")
background_value: Optional[int] = Field(
25, description="Background value of the motor map."
) # TODO can be percentage from 255 calculated
class BECMotorMap(BECPlotBase):
USER_ACCESS = [
"change_motors",
"set_max_points",
"set_precision",
"set_num_dim_points",
"set_background_value",
"set_scatter_size",
]
# QT Signals
update_signal = pyqtSignal()
def __init__(
self,
parent: Optional[QWidget] = None,
parent_figure=None,
config: Optional[MotorMapConfig] = None,
client=None,
gui_id: Optional[str] = None,
):
if config is None:
config = MotorMapConfig(widget_class=self.__class__.__name__)
super().__init__(
parent=parent, parent_figure=parent_figure, config=config, client=client, gui_id=gui_id
)
# Get bec shortcuts dev, scans, queue, scan_storage, dap
self.get_bec_shortcuts()
self.entry_validator = EntryValidator(self.dev)
self.motor_x = None
self.motor_y = None
self.database_buffer = {"x": [], "y": []}
self.plot_components = defaultdict(dict) # container for plot components
# connect update signal to update plot
self.proxy_update_plot = pg.SignalProxy(
self.update_signal, rateLimit=25, slot=self._update_plot
)
# TODO decide if needed to implement, maybe there will be no children widgets for motormap for now...
# def find_widget_by_id(self, item_id: str) -> BECCurve:
# """
# Find the curve by its ID.
# Args:
# item_id(str): ID of the curve.
#
# Returns:
# BECCurve: The curve object.
# """
# for curve in self.plot_item.curves:
# if curve.gui_id == item_id:
# return curve
@pyqtSlot(str, str, str, str, bool)
def change_motors(
self,
motor_x: str,
motor_y: str,
motor_x_entry: str = None,
motor_y_entry: str = None,
validate_bec: bool = True,
) -> None:
"""
Change the active motors for the plot.
Args:
motor_x(str): Motor name for the X axis.
motor_y(str): Motor name for the Y axis.
motor_x_entry(str): Motor entry for the X axis.
motor_y_entry(str): Motor entry for the Y axis.
validate_bec(bool, optional): If True, validate the signal with BEC. Defaults to True.
"""
motor_x_entry, motor_y_entry = self._validate_signal_entries(
motor_x, motor_y, motor_x_entry, motor_y_entry, validate_bec
)
motor_x_limit = self._get_motor_limit(motor_x)
motor_y_limit = self._get_motor_limit(motor_y)
signal = Signal(
source="device_readback",
x=SignalData(name=motor_x, entry=motor_x_entry, limits=motor_x_limit),
y=SignalData(name=motor_y, entry=motor_y_entry, limits=motor_y_limit),
)
self.config.signals = signal
# reconnect the signals
self._connect_motor_to_slots()
# Redraw the motor map
self._make_motor_map()
# TODO setup all visual properties
def set_max_points(self, max_points: int) -> None:
"""
Set the maximum number of points to display.
Args:
max_points(int): Maximum number of points to display.
"""
self.config.max_points = max_points
def set_precision(self, precision: int) -> None:
"""
Set the decimal precision of the motor position.
Args:
precision(int): Decimal precision of the motor position.
"""
self.config.precision = precision
def set_num_dim_points(self, num_dim_points: int) -> None:
"""
Set the number of dim points for the motor map.
Args:
num_dim_points(int): Number of dim points.
"""
self.config.num_dim_points = num_dim_points
def set_background_value(self, background_value: int) -> None:
"""
Set the background value of the motor map.
Args:
background_value(int): Background value of the motor map.
"""
self.config.background_value = background_value
def set_scatter_size(self, scatter_size: int) -> None:
"""
Set the scatter size of the motor map plot.
Args:
scatter_size(int): Size of the scatter points.
"""
self.config.scatter_size = scatter_size
def _connect_motor_to_slots(self):
"""Connect motors to slots."""
if self.motor_x is not None and self.motor_y is not None:
old_endpoints = [
MessageEndpoints.device_readback(self.motor_x),
MessageEndpoints.device_readback(self.motor_y),
]
self.bec_dispatcher.disconnect_slot(self.on_device_readback, old_endpoints)
self.motor_x = self.config.signals.x.name
self.motor_y = self.config.signals.y.name
endpoints = [
MessageEndpoints.device_readback(self.motor_x),
MessageEndpoints.device_readback(self.motor_y),
]
self.bec_dispatcher.connect_slot(
self.on_device_readback, endpoints, single_callback_for_all_topics=True
)
def _make_motor_map(self):
"""
Create the motor map plot.
"""
# Create limit map
motor_x_limit = self.config.signals.x.limits
motor_y_limit = self.config.signals.y.limits
self.plot_components["limit_map"] = self._make_limit_map(motor_x_limit, motor_y_limit)
self.plot_item.addItem(self.plot_components["limit_map"])
self.plot_components["limit_map"].setZValue(-1)
# Create scatter plot
scatter_size = self.config.scatter_size
self.plot_components["scatter"] = pg.ScatterPlotItem(
size=scatter_size, brush=pg.mkBrush(255, 255, 255, 255)
)
self.plot_item.addItem(self.plot_components["scatter"])
self.plot_components["scatter"].setZValue(0)
# Enable Grid
self.set_grid(True, True)
# Add the crosshair for initial motor coordinates
initial_position_x = self._get_motor_init_position(
self.motor_x, self.config.signals.x.entry, self.config.precision
)
initial_position_y = self._get_motor_init_position(
self.motor_y, self.config.signals.y.entry, self.config.precision
)
self.database_buffer["x"] = [initial_position_x]
self.database_buffer["y"] = [initial_position_y]
self.plot_components["scatter"].setData([initial_position_x], [initial_position_y])
self._add_coordinantes_crosshair(initial_position_x, initial_position_y)
# Set default labels for the plot
self.set(x_label=f"Motor X ({self.motor_x})", y_label=f"Motor Y ({self.motor_y})")
def _add_coordinantes_crosshair(self, x: float, y: float) -> None:
"""
Add crosshair to the plot to highlight the current position.
Args:
x(float): X coordinate.
y(float): Y coordinate.
"""
# Crosshair to highlight the current position
highlight_H = pg.InfiniteLine(
angle=0, movable=False, pen=pg.mkPen(color="r", width=1, style=QtCore.Qt.DashLine)
)
highlight_V = pg.InfiniteLine(
angle=90, movable=False, pen=pg.mkPen(color="r", width=1, style=QtCore.Qt.DashLine)
)
# Add crosshair to the curve list for future referencing
self.plot_components["highlight_H"] = highlight_H
self.plot_components["highlight_V"] = highlight_V
# Add crosshair to the plot
self.plot_item.addItem(highlight_H)
self.plot_item.addItem(highlight_V)
highlight_V.setPos(x)
highlight_H.setPos(y)
def _make_limit_map(self, limits_x: list, limits_y: list) -> pg.ImageItem:
"""
Create a limit map for the motor map plot.
Args:
limits_x(list): Motor limits for the x axis.
limits_y(list): Motor limits for the y axis.
Returns:
pg.ImageItem: Limit map.
"""
limit_x_min, limit_x_max = limits_x
limit_y_min, limit_y_max = limits_y
map_width = int(limit_x_max - limit_x_min + 1)
map_height = int(limit_y_max - limit_y_min + 1)
# Create limits map
background_value = self.config.background_value
limit_map_data = np.full((map_width, map_height), background_value, dtype=np.float32)
limit_map = pg.ImageItem()
limit_map.setImage(limit_map_data)
# Translate and scale the image item to match the motor coordinates
tr = QtGui.QTransform()
tr.translate(limit_x_min, limit_y_min)
limit_map.setTransform(tr)
return limit_map
def _get_motor_init_position(self, name: str, entry: str, precision: int) -> float:
"""
Get the motor initial position from the config.
Args:
name(str): Motor name.
entry(str): Motor entry.
precision(int): Decimal precision of the motor position.
Returns:
float: Motor initial position.
"""
init_position = round(self.dev[name].read()[entry]["value"], precision)
return init_position
def _validate_signal_entries(
self,
x_name: str,
y_name: str,
x_entry: str | None,
y_entry: str | None,
validate_bec: bool = True,
) -> tuple[str, str]:
"""
Validate the signal name and entry.
Args:
x_name(str): Name of the x signal.
y_name(str): Name of the y signal.
x_entry(str|None): Entry of the x signal.
y_entry(str|None): Entry of the y signal.
validate_bec(bool, optional): If True, validate the signal with BEC. Defaults to True.
Returns:
tuple[str,str]: Validated x and y entries.
"""
if validate_bec:
x_entry = self.entry_validator.validate_signal(x_name, x_entry)
y_entry = self.entry_validator.validate_signal(y_name, y_entry)
else:
x_entry = x_name if x_entry is None else x_entry
y_entry = y_name if y_entry is None else y_entry
return x_entry, y_entry
def _get_motor_limit(self, motor: str) -> Union[list | None]: # TODO check if works correctly
"""
Get the motor limit from the config.
Args:
motor(str): Motor name.
Returns:
float: Motor limit.
"""
try:
limits = self.dev[motor].limits
if limits == [0, 0]:
return None
return limits
except AttributeError: # TODO maybe not needed, if no limits it returns [0,0]
# If the motor doesn't have a 'limits' attribute, return a default value or raise a custom exception
print(f"The device '{motor}' does not have defined limits.")
return None
def _update_plot(self):
"""Update the motor map plot."""
x = self.database_buffer["x"]
y = self.database_buffer["y"]
# Setup gradient brush for history
brushes = [pg.mkBrush(50, 50, 50, 255)] * len(x)
# Calculate the decrement step based on self.num_dim_points
num_dim_points = self.config.num_dim_points
decrement_step = (255 - 50) / num_dim_points
for i in range(1, min(num_dim_points + 1, len(x) + 1)):
brightness = max(60, 255 - decrement_step * (i - 1))
brushes[-i] = pg.mkBrush(brightness, brightness, brightness, 255)
brushes[-1] = pg.mkBrush(255, 255, 255, 255) # Newest point is always full brightness
scatter_size = self.config.scatter_size
# Update the scatter plot
self.plot_components["scatter"].setData(
x=x,
y=y,
brush=brushes,
pen=None,
size=scatter_size,
)
# Get last know position for crosshair
current_x = x[-1]
current_y = y[-1]
# Update the crosshair
self.plot_components["highlight_V"].setPos(current_x)
self.plot_components["highlight_H"].setPos(current_y)
# TODO not update title but some label
# Update plot title
precision = self.config.precision
self.set_title(
f"Motor position: ({round(current_x,precision)}, {round(current_y,precision)})"
)
@pyqtSlot(dict)
def on_device_readback(self, msg: dict) -> None:
"""
Update the motor map plot with the new motor position.
Args:
msg(dict): Message from the device readback.
"""
if self.motor_x is None or self.motor_y is None:
return
if self.motor_x in msg["signals"]:
x = msg["signals"][self.motor_x]["value"]
self.database_buffer["x"].append(x)
self.database_buffer["y"].append(self.database_buffer["y"][-1])
elif self.motor_y in msg["signals"]:
y = msg["signals"][self.motor_y]["value"]
self.database_buffer["y"].append(y)
self.database_buffer["x"].append(self.database_buffer["x"][-1])
self.update_signal.emit()
if __name__ == "__main__": # pragma: no cover
import sys
import pyqtgraph as pg
from qtpy.QtWidgets import QApplication
app = QApplication(sys.argv)
glw = pg.GraphicsLayoutWidget()
motor_map = BECMotorMap()
motor_map.change_motors("samx", "samy")
glw.addItem(motor_map)
widget = glw
widget.show()
sys.exit(app.exec_())