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bec_widgets/bec_widgets/widgets/figure/figure.py
T

882 lines
31 KiB
Python

# pylint: disable = no-name-in-module,missing-module-docstring
from __future__ import annotations
import uuid
from collections import defaultdict
from typing import Literal, Optional
import numpy as np
import pyqtgraph as pg
import qdarktheme
from pydantic import Field
from qtpy.QtCore import Signal as pyqtSignal
from qtpy.QtWidgets import QWidget
from typeguard import typechecked
from bec_widgets.utils import BECConnector, ConnectionConfig, WidgetContainerUtils
from bec_widgets.widgets.figure.plots.image.image import BECImageShow, ImageConfig
from bec_widgets.widgets.figure.plots.motor_map.motor_map import BECMotorMap, MotorMapConfig
from bec_widgets.widgets.figure.plots.plot_base import BECPlotBase, SubplotConfig
from bec_widgets.widgets.figure.plots.waveform.waveform import BECWaveform, Waveform1DConfig
class FigureConfig(ConnectionConfig):
"""Configuration for BECFigure. Inheriting from ConnectionConfig widget_class and gui_id"""
theme: Literal["dark", "light"] = Field("dark", description="The theme of the figure widget.")
num_cols: int = Field(1, description="The number of columns in the figure widget.")
num_rows: int = Field(1, description="The number of rows in the figure widget.")
widgets: dict[str, Waveform1DConfig | ImageConfig | MotorMapConfig | SubplotConfig] = Field(
{}, description="The list of widgets to be added to the figure widget."
)
class WidgetHandler:
"""Factory for creating and configuring BEC widgets for BECFigure."""
def __init__(self):
self.widget_factory = {
"PlotBase": (BECPlotBase, SubplotConfig),
"Waveform1D": (BECWaveform, Waveform1DConfig),
"ImShow": (BECImageShow, ImageConfig),
"MotorMap": (BECMotorMap, MotorMapConfig),
}
def create_widget(
self,
widget_type: str,
widget_id: str,
parent_figure,
parent_id: str,
config: dict = None,
**axis_kwargs,
) -> BECPlotBase:
"""
Create and configure a widget based on its type.
Args:
widget_type (str): The type of the widget to create.
widget_id (str): Unique identifier for the widget.
parent_id (str): Identifier of the parent figure.
config (dict, optional): Additional configuration for the widget.
**axis_kwargs: Additional axis properties to set on the widget after creation.
Returns:
BECPlotBase: The created and configured widget instance.
"""
entry = self.widget_factory.get(widget_type)
if not entry:
raise ValueError(f"Unsupported widget type: {widget_type}")
widget_class, config_class = entry
if config is not None and isinstance(config, config_class):
config = config.model_dump()
widget_config_dict = {
"widget_class": widget_class.__name__,
"parent_id": parent_id,
"gui_id": widget_id,
**(config if config is not None else {}),
}
widget_config = config_class(**widget_config_dict)
widget = widget_class(
config=widget_config, parent_figure=parent_figure, client=parent_figure.client
)
if axis_kwargs:
widget.set(**axis_kwargs)
return widget
class BECFigure(BECConnector, pg.GraphicsLayoutWidget):
USER_ACCESS = [
"rpc_id",
"config_dict",
"axes",
"widgets",
"add_plot",
"add_image",
"add_motor_map",
"plot",
"image",
"motor_map",
"remove",
"change_layout",
"change_theme",
"clear_all",
"get_all_rpc",
"widget_list",
]
clean_signal = pyqtSignal()
def __init__(
self,
parent: Optional[QWidget] = None,
config: Optional[FigureConfig] = None,
client=None,
gui_id: Optional[str] = None,
) -> None:
if config is None:
config = FigureConfig(widget_class=self.__class__.__name__)
else:
if isinstance(config, dict):
config = FigureConfig(**config)
self.config = config
super().__init__(client=client, config=config, gui_id=gui_id)
pg.GraphicsLayoutWidget.__init__(self, parent)
self.widget_handler = WidgetHandler()
# Widget container to reference widgets by 'widget_id'
self._widgets = defaultdict(dict)
# Container to keep track of the grid
self.grid = []
def __getitem__(self, key: tuple | str):
if isinstance(key, tuple) and len(key) == 2:
return self.axes(*key)
elif isinstance(key, str):
widget = self._widgets.get(key)
if widget is None:
raise KeyError(f"No widget with ID {key}")
return self._widgets.get(key)
else:
raise TypeError(
"Key must be a string (widget id) or a tuple of two integers (grid coordinates)"
)
@property
def widget_list(self) -> list[BECPlotBase]:
"""
Access all widget in BECFigure as a list
Returns:
list[BECPlotBase]: List of all widgets in the figure.
"""
axes = [value for value in self._widgets.values() if isinstance(value, BECPlotBase)]
return axes
@widget_list.setter
def widget_list(self, value: list[BECPlotBase]):
"""
Access all widget in BECFigure as a list
Returns:
list[BECPlotBase]: List of all widgets in the figure.
"""
self._axes = value
@property
def widgets(self) -> dict:
"""
All widgets within the figure with gui ids as keys.
Returns:
dict: All widgets within the figure.
"""
return self._widgets
@widgets.setter
def widgets(self, value: dict):
"""
All widgets within the figure with gui ids as keys.
Returns:
dict: All widgets within the figure.
"""
self._widgets = value
def _init_waveform(
self,
waveform,
x_name: str = None,
y_name: str = None,
z_name: str = None,
x_entry: str = None,
y_entry: str = None,
z_entry: str = None,
x: list | np.ndarray = None,
y: list | np.ndarray = None,
color: str | None = None,
color_map_z: str | None = "plasma",
label: str | None = None,
validate: bool = True,
dap: str | None = None,
):
"""
Configure the waveform based on the provided parameters.
Args:
waveform (BECWaveform): The waveform to configure.
x (list | np.ndarray): Custom x data to plot.
y (list | np.ndarray): Custom y data to plot.
x_name (str): The name of the device for the x-axis.
y_name (str): The name of the device for the y-axis.
z_name (str): The name of the device for the z-axis.
x_entry (str): The name of the entry for the x-axis.
y_entry (str): The name of the entry for the y-axis.
z_entry (str): The name of the entry for the z-axis.
color (str): The color of the curve.
color_map_z (str): The color map to use for the z-axis.
label (str): The label of the curve.
validate (bool): If True, validate the device names and entries.
dap (str): The DAP model to use for the curve.
"""
if x is not None and y is None:
if isinstance(x, np.ndarray):
if x.ndim == 1:
y = np.arange(x.size)
waveform.add_curve_custom(x=np.arange(x.size), y=x, color=color, label=label)
return waveform
if x.ndim == 2:
waveform.add_curve_custom(x=x[:, 0], y=x[:, 1], color=color, label=label)
return waveform
elif isinstance(x, list):
y = np.arange(len(x))
waveform.add_curve_custom(x=np.arange(len(x)), y=x, color=color, label=label)
return waveform
else:
raise ValueError(
"Invalid input. Provide either device names (x_name, y_name) or custom data."
)
if x is not None and y is not None:
waveform.add_curve_custom(x=x, y=y, color=color, label=label)
return waveform
# User wants to add scan curve -> 1D Waveform
if x_name is not None and y_name is not None and z_name is None and x is None and y is None:
waveform.plot(
x_name=x_name,
y_name=y_name,
x_entry=x_entry,
y_entry=y_entry,
validate=validate,
color=color,
label=label,
dap=dap,
)
# User wants to add scan curve -> 2D Waveform Scatter
if (
x_name is not None
and y_name is not None
and z_name is not None
and x is None
and y is None
):
waveform.plot(
x_name=x_name,
y_name=y_name,
z_name=z_name,
x_entry=x_entry,
y_entry=y_entry,
z_entry=z_entry,
color=color,
color_map_z=color_map_z,
label=label,
validate=validate,
dap=dap,
)
# User wants to add custom curve
elif x is not None and y is not None and x_name is None and y_name is None:
waveform.add_curve_custom(x=x, y=y, color=color, label=label)
return waveform
def add_plot(
self,
x: list | np.ndarray = None,
y: list | np.ndarray = None,
x_name: str = None,
y_name: str = None,
z_name: str = None,
x_entry: str = None,
y_entry: str = None,
z_entry: str = None,
color: Optional[str] = None,
color_map_z: Optional[str] = "plasma",
label: Optional[str] = None,
validate: bool = True,
row: int = None,
col: int = None,
config=None,
dap: str | None = None,
**axis_kwargs,
) -> BECWaveform:
"""
Add a Waveform1D plot to the figure at the specified position.
Args:
x(list | np.ndarray): Custom x data to plot.
y(list | np.ndarray): Custom y data to plot.
x_name(str): The name of the device for the x-axis.
y_name(str): The name of the device for the y-axis.
z_name(str): The name of the device for the z-axis.
x_entry(str): The name of the entry for the x-axis.
y_entry(str): The name of the entry for the y-axis.
z_entry(str): The name of the entry for the z-axis.
color(str): The color of the curve.
color_map_z(str): The color map to use for the z-axis.
label(str): The label of the curve.
validate(bool): If True, validate the device names and entries.
row(int): The row coordinate of the widget in the figure. If not provided, the next empty row will be used.
col(int): The column coordinate of the widget in the figure. If not provided, the next empty column will be used.
config(dict): Additional configuration for the widget.
**axis_kwargs(dict): Additional axis properties to set on the widget after creation.
"""
widget_id = str(uuid.uuid4())
waveform = self.add_widget(
widget_type="Waveform1D",
widget_id=widget_id,
row=row,
col=col,
config=config,
**axis_kwargs,
)
waveform = self._init_waveform(
waveform=waveform,
x=x,
y=y,
x_name=x_name,
y_name=y_name,
z_name=z_name,
x_entry=x_entry,
y_entry=y_entry,
z_entry=z_entry,
color=color,
color_map_z=color_map_z,
label=label,
validate=validate,
dap=dap,
)
return waveform
@typechecked
def plot(
self,
x: list | np.ndarray | None = None,
y: list | np.ndarray | None = None,
x_name: str | None = None,
y_name: str | None = None,
z_name: str | None = None,
x_entry: str | None = None,
y_entry: str | None = None,
z_entry: str | None = None,
color: str | None = None,
color_map_z: str | None = "plasma",
label: str | None = None,
validate: bool = True,
dap: str | None = None,
**axis_kwargs,
) -> BECWaveform:
"""
Add a 1D waveform plot to the figure. Always access the first waveform widget in the figure.
Args:
x(list | np.ndarray): Custom x data to plot.
y(list | np.ndarray): Custom y data to plot.
x_name(str): The name of the device for the x-axis.
y_name(str): The name of the device for the y-axis.
z_name(str): The name of the device for the z-axis.
x_entry(str): The name of the entry for the x-axis.
y_entry(str): The name of the entry for the y-axis.
z_entry(str): The name of the entry for the z-axis.
color(str): The color of the curve.
color_map_z(str): The color map to use for the z-axis.
label(str): The label of the curve.
validate(bool): If True, validate the device names and entries.
dap(str): The DAP model to use for the curve.
**axis_kwargs: Additional axis properties to set on the widget after creation.
Returns:
BECWaveform: The waveform plot widget.
"""
waveform = WidgetContainerUtils.find_first_widget_by_class(
self._widgets, BECWaveform, can_fail=True
)
if waveform is not None:
if axis_kwargs:
waveform.set(**axis_kwargs)
else:
waveform = self.add_plot(**axis_kwargs)
waveform = self._init_waveform(
waveform=waveform,
x=x,
y=y,
x_name=x_name,
y_name=y_name,
z_name=z_name,
x_entry=x_entry,
y_entry=y_entry,
z_entry=z_entry,
color=color,
color_map_z=color_map_z,
label=label,
validate=validate,
dap=dap,
)
# TODO remove repetition from .plot method
return waveform
def _init_image(
self,
image,
monitor: str = None,
color_bar: Literal["simple", "full"] = "full",
color_map: str = "magma",
data: np.ndarray = None,
vrange: tuple[float, float] = None,
) -> BECImageShow:
"""
Configure the image based on the provided parameters.
Args:
image (BECImageShow): The image to configure.
monitor (str): The name of the monitor to display.
color_bar (Literal["simple","full"]): The type of color bar to display.
color_map (str): The color map to use for the image.
data (np.ndarray): Custom data to display.
"""
if monitor is not None and data is None:
image.add_monitor_image(
monitor=monitor, color_map=color_map, vrange=vrange, color_bar=color_bar
)
elif data is not None and monitor is None:
image.add_custom_image(
name="custom", data=data, color_map=color_map, vrange=vrange, color_bar=color_bar
)
elif data is None and monitor is None:
# Setting appearance
if vrange is not None:
image.set_vrange(vmin=vrange[0], vmax=vrange[1])
if color_map is not None:
image.set_color_map(color_map)
else:
raise ValueError("Invalid input. Provide either monitor name or custom data.")
return image
def image(
self,
monitor: str = None,
color_bar: Literal["simple", "full"] = "full",
color_map: str = "magma",
data: np.ndarray = None,
vrange: tuple[float, float] = None,
**axis_kwargs,
) -> BECImageShow:
"""
Add an image to the figure. Always access the first image widget in the figure.
Args:
monitor(str): The name of the monitor to display.
color_bar(Literal["simple","full"]): The type of color bar to display.
color_map(str): The color map to use for the image.
data(np.ndarray): Custom data to display.
vrange(tuple[float, float]): The range of values to display.
**axis_kwargs: Additional axis properties to set on the widget after creation.
Returns:
BECImageShow: The image widget.
"""
image = WidgetContainerUtils.find_first_widget_by_class(
self._widgets, BECImageShow, can_fail=True
)
if image is not None:
if axis_kwargs:
image.set(**axis_kwargs)
else:
image = self.add_image(color_bar=color_bar, **axis_kwargs)
image = self._init_image(
image=image,
monitor=monitor,
color_bar=color_bar,
color_map=color_map,
data=data,
vrange=vrange,
)
return image
def add_image(
self,
monitor: str = None,
color_bar: Literal["simple", "full"] = "full",
color_map: str = "magma",
data: np.ndarray = None,
vrange: tuple[float, float] = None,
row: int = None,
col: int = None,
config=None,
**axis_kwargs,
) -> BECImageShow:
"""
Add an image to the figure at the specified position.
Args:
monitor(str): The name of the monitor to display.
color_bar(Literal["simple","full"]): The type of color bar to display.
color_map(str): The color map to use for the image.
data(np.ndarray): Custom data to display.
vrange(tuple[float, float]): The range of values to display.
row(int): The row coordinate of the widget in the figure. If not provided, the next empty row will be used.
col(int): The column coordinate of the widget in the figure. If not provided, the next empty column will be used.
config(dict): Additional configuration for the widget.
**axis_kwargs: Additional axis properties to set on the widget after creation.
Returns:
BECImageShow: The image widget.
"""
widget_id = str(uuid.uuid4())
if config is None:
config = ImageConfig(
widget_class="BECImageShow",
gui_id=widget_id,
parent_id=self.gui_id,
color_map=color_map,
color_bar=color_bar,
vrange=vrange,
)
image = self.add_widget(
widget_type="ImShow",
widget_id=widget_id,
row=row,
col=col,
config=config,
**axis_kwargs,
)
image = self._init_image(
image=image,
monitor=monitor,
color_bar=color_bar,
color_map=color_map,
data=data,
vrange=vrange,
)
return image
def motor_map(self, motor_x: str = None, motor_y: str = None, **axis_kwargs) -> BECMotorMap:
"""
Add a motor map to the figure. Always access the first motor map widget in the figure.
Args:
motor_x(str): The name of the motor for the X axis.
motor_y(str): The name of the motor for the Y axis.
**axis_kwargs: Additional axis properties to set on the widget after creation.
Returns:
BECMotorMap: The motor map widget.
"""
motor_map = WidgetContainerUtils.find_first_widget_by_class(
self._widgets, BECMotorMap, can_fail=True
)
if motor_map is not None:
if axis_kwargs:
motor_map.set(**axis_kwargs)
else:
motor_map = self.add_motor_map(**axis_kwargs)
if motor_x is not None and motor_y is not None:
motor_map.change_motors(motor_x, motor_y)
return motor_map
def add_motor_map(
self,
motor_x: str = None,
motor_y: str = None,
row: int = None,
col: int = None,
config=None,
**axis_kwargs,
) -> BECMotorMap:
"""
Args:
motor_x(str): The name of the motor for the X axis.
motor_y(str): The name of the motor for the Y axis.
row(int): The row coordinate of the widget in the figure. If not provided, the next empty row will be used.
col(int): The column coordinate of the widget in the figure. If not provided, the next empty column will be used.
config(dict): Additional configuration for the widget.
**axis_kwargs:
Returns:
BECMotorMap: The motor map widget.
"""
widget_id = str(uuid.uuid4())
if config is None:
config = MotorMapConfig(
widget_class="BECMotorMap", gui_id=widget_id, parent_id=self.gui_id
)
motor_map = self.add_widget(
widget_type="MotorMap",
widget_id=widget_id,
row=row,
col=col,
config=config,
**axis_kwargs,
)
if motor_x is not None and motor_y is not None:
motor_map.change_motors(motor_x, motor_y)
return motor_map
def add_widget(
self,
widget_type: Literal["PlotBase", "Waveform1D", "ImShow"] = "PlotBase",
widget_id: str = None,
row: int = None,
col: int = None,
config=None,
**axis_kwargs,
) -> BECPlotBase:
"""
Add a widget to the figure at the specified position.
Args:
widget_type(Literal["PlotBase","Waveform1D"]): The type of the widget to add.
widget_id(str): The unique identifier of the widget. If not provided, a unique ID will be generated.
row(int): The row coordinate of the widget in the figure. If not provided, the next empty row will be used.
col(int): The column coordinate of the widget in the figure. If not provided, the next empty column will be used.
config(dict): Additional configuration for the widget.
**axis_kwargs(dict): Additional axis properties to set on the widget after creation.
"""
if not widget_id:
widget_id = str(uuid.uuid4())
if widget_id in self._widgets:
raise ValueError(f"Widget with ID '{widget_id}' already exists.")
widget = self.widget_handler.create_widget(
widget_type=widget_type,
widget_id=widget_id,
parent_figure=self,
parent_id=self.gui_id,
config=config,
**axis_kwargs,
)
# Check if position is occupied
if row is not None and col is not None:
if self.getItem(row, col):
raise ValueError(f"Position at row {row} and column {col} is already occupied.")
else:
widget.config.row = row
widget.config.col = col
# Add widget to the figure
self.addItem(widget, row=row, col=col)
else:
row, col = self._find_next_empty_position()
widget.config.row = row
widget.config.col = col
# Add widget to the figure
self.addItem(widget, row=row, col=col)
# Update num_cols and num_rows based on the added widget
self.config.num_rows = max(self.config.num_rows, row + 1)
self.config.num_cols = max(self.config.num_cols, col + 1)
# Saving config for future referencing
self.config.widgets[widget_id] = widget.config
self._widgets[widget_id] = widget
# Reflect the grid coordinates
self._change_grid(widget_id, row, col)
return widget
def remove(
self,
row: int = None,
col: int = None,
widget_id: str = None,
coordinates: tuple[int, int] = None,
) -> None:
"""
Remove a widget from the figure. Can be removed by its unique identifier or by its coordinates.
Args:
row(int): The row coordinate of the widget to remove.
col(int): The column coordinate of the widget to remove.
widget_id(str): The unique identifier of the widget to remove.
coordinates(tuple[int, int], optional): The coordinates of the widget to remove.
"""
if widget_id:
self._remove_by_id(widget_id)
elif row is not None and col is not None:
self._remove_by_coordinates(row, col)
elif coordinates:
self._remove_by_coordinates(*coordinates)
else:
raise ValueError("Must provide either widget_id or coordinates for removal.")
def change_theme(self, theme: Literal["dark", "light"]) -> None:
"""
Change the theme of the figure widget.
Args:
theme(Literal["dark","light"]): The theme to set for the figure widget.
"""
qdarktheme.setup_theme(theme)
self.setBackground("k" if theme == "dark" else "w")
self.config.theme = theme
for plot in self.widget_list:
plot.set_x_label(plot.plot_item.getAxis("bottom").label.toPlainText())
plot.set_y_label(plot.plot_item.getAxis("left").label.toPlainText())
if plot.plot_item.titleLabel.text:
plot.set_title(plot.plot_item.titleLabel.text)
plot.set_legend_label_size()
def _remove_by_coordinates(self, row: int, col: int) -> None:
"""
Remove a widget from the figure by its coordinates.
Args:
row(int): The row coordinate of the widget to remove.
col(int): The column coordinate of the widget to remove.
"""
widget = self.axes(row, col)
if widget:
widget_id = widget.config.gui_id
if widget_id in self._widgets:
self._remove_by_id(widget_id)
def _remove_by_id(self, widget_id: str) -> None:
"""
Remove a widget from the figure by its unique identifier.
Args:
widget_id(str): The unique identifier of the widget to remove.
"""
if widget_id in self._widgets:
widget = self._widgets.pop(widget_id)
widget.cleanup()
self.removeItem(widget)
self.grid[widget.config.row][widget.config.col] = None
self._reindex_grid()
if widget_id in self.config.widgets:
self.config.widgets.pop(widget_id)
else:
raise ValueError(f"Widget with ID '{widget_id}' does not exist.")
def axes(self, row: int, col: int) -> BECPlotBase:
"""
Get widget by its coordinates in the figure.
Args:
row(int): the row coordinate
col(int): the column coordinate
Returns:
BECPlotBase: the widget at the given coordinates
"""
widget = self.getItem(row, col)
if widget is None:
raise ValueError(f"No widget at coordinates ({row}, {col})")
return widget
def _find_next_empty_position(self):
"""Find the next empty position (new row) in the figure."""
row, col = 0, 0
while self.getItem(row, col):
row += 1
return row, col
def _change_grid(self, widget_id: str, row: int, col: int):
"""
Change the grid to reflect the new position of the widget.
Args:
widget_id(str): The unique identifier of the widget.
row(int): The new row coordinate of the widget in the figure.
col(int): The new column coordinate of the widget in the figure.
"""
while len(self.grid) <= row:
self.grid.append([])
row = self.grid[row]
while len(row) <= col:
row.append(None)
row[col] = widget_id
def _reindex_grid(self):
"""Reindex the grid to remove empty rows and columns."""
new_grid = []
for row in self.grid:
new_row = [widget for widget in row if widget is not None]
if new_row:
new_grid.append(new_row)
#
# Update the config of each object to reflect its new position
for row_idx, row in enumerate(new_grid):
for col_idx, widget in enumerate(row):
self._widgets[widget].config.row, self._widgets[widget].config.col = (
row_idx,
col_idx,
)
self.grid = new_grid
self._replot_layout()
def _replot_layout(self):
"""Replot the layout based on the current grid configuration."""
self.clear()
for row_idx, row in enumerate(self.grid):
for col_idx, widget in enumerate(row):
self.addItem(self._widgets[widget], row=row_idx, col=col_idx)
def change_layout(self, max_columns=None, max_rows=None):
"""
Reshuffle the layout of the figure to adjust to a new number of max_columns or max_rows.
If both max_columns and max_rows are provided, max_rows is ignored.
Args:
max_columns (Optional[int]): The new maximum number of columns in the figure.
max_rows (Optional[int]): The new maximum number of rows in the figure.
"""
# Calculate total number of widgets
total_widgets = len(self._widgets)
if max_columns:
# Calculate the required number of rows based on max_columns
required_rows = (total_widgets + max_columns - 1) // max_columns
new_grid = [[None for _ in range(max_columns)] for _ in range(required_rows)]
elif max_rows:
# Calculate the required number of columns based on max_rows
required_columns = (total_widgets + max_rows - 1) // max_rows
new_grid = [[None for _ in range(required_columns)] for _ in range(max_rows)]
else:
# If neither max_columns nor max_rows is specified, just return without changing the layout
return
# Populate the new grid with widgets' IDs
current_idx = 0
for widget_id, widget in self._widgets.items():
row = current_idx // len(new_grid[0])
col = current_idx % len(new_grid[0])
new_grid[row][col] = widget_id
current_idx += 1
self.config.num_rows = row
self.config.num_cols = col
# Update widgets' positions and replot them according to the new grid
self.grid = new_grid
self._reindex_grid() # This method should be updated to handle reshuffling correctly
self._replot_layout() # Assumes this method re-adds widgets to the layout based on self.grid
def clear_all(self):
"""Clear all widgets from the figure and reset to default state"""
for widget in list(self._widgets.values()):
widget.remove()
# self.clear()
self._widgets = defaultdict(dict)
self.grid = []
theme = self.config.theme
self.config = FigureConfig(
widget_class=self.__class__.__name__, gui_id=self.gui_id, theme=theme
)
def cleanup(self):
self.clear_all()
super().cleanup()