Post code clean-up, before attempt to upgrade controls to FigureWidgets

src/submissions/frontend/visualizations/pcr_charts.py

@@ -1,20 +1,21 @@
 """
 Functions for constructing irida controls graphs using plotly.
 """
-from datetime import date
 from pprint import pformat
-import plotly
+
+from plotly.graph_objs import FigureWidget, Scatter
+
 from . import CustomFigure
 import plotly.express as px
 import pandas as pd
 from PyQt6.QtWidgets import QWidget
-from plotly.graph_objects import Figure
 import logging
-from tools import get_unique_values_in_df_column, divide_chunks
-from frontend.widgets.functions import select_save_file
 
 logger = logging.getLogger(f"submissions.{__name__}")
 
+# NOTE: For click events try (haven't got working yet) ipywidgets >=7.0.0 required for figurewidgets:
+# https://plotly.com/python/click-events/
+
 
 class PCRFigure(CustomFigure):
 
@@ -23,13 +24,20 @@ class PCRFigure(CustomFigure):
         super().__init__(df=df, modes=modes)
         logger.debug(f"DF: {self.df}")
         self.construct_chart(df=df)
-        # self.generic_figure_markers(modes=modes, ytitle=ytitle, months=months)
+
+    def hello(self):
+        print("hello")
 
     def construct_chart(self, df: pd.DataFrame):
-        logger.debug(f"PCR df: {df}")
+        logger.debug(f"PCR df:\n {df}")
         try:
-            scatter = px.scatter(data_frame=df, x='submitted_date', y="ct", hover_data=["name", "target", "ct", "reagent_lot"], color='target')
+            express = px.scatter(data_frame=df, x='submitted_date', y="ct",
+                                           hover_data=["name", "target", "ct", "reagent_lot"],
+                                           color="target")
         except ValueError:
-            scatter = px.scatter()
+            express = px.scatter()
+        scatter = FigureWidget([datum for datum in express.data])
         self.add_traces(scatter.data)
+        self.update_traces(marker={'size': 15})
+