feat: добавил закрашивание этапов

src/base/base.py

@@ -101,6 +101,13 @@ class BasePlotWidget:
             "Welding"
         ]
 
+        self._stage_colors = {
+            "Closing": [208, 28, 31, 100],
+            "Squeeze": [45, 51, 89, 150],
+            "Welding": [247, 183, 24, 100],
+            "Relief": [0, 134, 88, 100]
+        }
+
         self._plt_channels = {
             "Electrode Force, N & Welding Current, kA": {
                 "Settings": {

src/gui/widgets/plot.py

@@ -1,16 +1,27 @@
 import pandas as pd
 from PyQt5.QtWidgets import QWidget, QVBoxLayout
 import pyqtgraph as pg
+import numpy as np
 
 from base.base import BasePlotWidget
 
 
 class PlotWidget(BasePlotWidget):
 
-    def _draw_stages(self, dataframe: pd.DataFrame) -> None:
+    def _create_stage_region(self,
-        ...
+                             stage: str,
+                             times: pd.Series,
+                             dataframe: pd.DataFrame) -> pg.LinearRegionItem:
+        stage_diff = np.diff(dataframe[stage])
+        start_index = np.where(stage_diff == 1)[0]
+        finish_index = np.where(stage_diff == -1)[0]
+        start_timestamp = times[start_index[0]]
+        finish_timestamp = times[finish_index[0]]
+        region = pg.LinearRegionItem([start_timestamp, finish_timestamp], movable=False)
+        region.setBrush(pg.mkBrush(self._stage_colors[stage]))
+        return region
 
-    def _create_widget(self, dataframe: pd.DataFrame) -> QWidget:
+    def _build_widget(self, dataframe: pd.DataFrame) -> QWidget:
         widget = QWidget()
         layout = QVBoxLayout()
 
@@ -24,6 +35,11 @@ class PlotWidget(BasePlotWidget):
             legend.setParentItem(plot_widget.graphicsItem())
             settings = description["Settings"]
 
+            if settings["stages"] and all([stage in dataframe_headers for stage in self._stages]):
+                for stage in self._stages:
+                    region = self._create_stage_region(stage, time_axis, dataframe)
+                    plot_widget.addItem(region)
+
             for signal in description["Signals"]:
                 if signal["name"] in dataframe_headers:
                     plot = plot_widget.plot(time_axis, dataframe[signal["name"]], pen=signal["pen"])
@@ -39,5 +55,5 @@ class PlotWidget(BasePlotWidget):
         return widget
 
     def build(self, data: list[pd.DataFrame]) -> None:
-        widgets = [self._create_widget(data_sample) for data_sample in data]
+        widgets = [self._build_widget(data_sample) for data_sample in data]
         self._mediator.notify(self, widgets)