feat: unify the color list for line plot of all properties in reporte…

…r to default plotly color cycle

apex/reporter/DashReportApp.py

@@ -96,6 +96,25 @@ def __init__(self, datasets):
             [Input('confs-radio', 'value')]
         )(self.update_dropdown_options)
 
+    @staticmethod
+    def plotly_color_cycle():
+        # https://plotly.com/python/discrete-color/
+        colors = [
+            '#636EFA',  # blue
+            '#EF553B',  # red
+            '#00CC96',  # green
+            '#AB63FA',  # purple
+            '#FFA15A',  # orange
+            '#19D3F3',  # cyan
+            '#FF6692',  # pink
+            '#B6E880',  # lime
+            '#FF97FF',  # magenta
+            '#FECB52',  # yellow
+        ]
+        while True:
+            for color in colors:
+                yield color
+
     def generate_layout(self):
         for w in self.datasets.values():
             self.all_dimensions.update(w.keys())
@@ -170,6 +189,7 @@ def update_dropdown_options(self, selected_confs):
     def update_graph(self, selected_prop, selected_confs):
         fig = go.Figure()
         prop_type = return_prop_type(selected_prop)
+        color_generator = self.plotly_color_cycle()
         if prop_type not in NO_GRAPH_LIST:
             for w_dimension, dataset in self.datasets.items():
                 try:
@@ -180,7 +200,10 @@ def update_graph(self, selected_prop, selected_confs):
                     propCls = return_prop_class(prop_type)
                     # trace_name = f"{w_dimension} - {selected_confs} - {selected_prop}"
                     trace_name = w_dimension
-                    traces, layout = propCls.plotly_graph(data, trace_name)
+                    traces, layout = propCls.plotly_graph(
+                        data, trace_name,
+                        color=next(color_generator)
+                    )
                     fig.add_traces(traces)
                     fig.layout = layout
                     fig.update_layout(autotypenumbers='convert types')

apex/reporter/property_report.py

@@ -493,7 +493,8 @@ def plotly_graph(res_data: dict, name: str, **kwargs) -> [list[go], go.layout]:
             pd_dict['Band %02d' % (ii + 1)] = band_list[ii]
         df = pd.DataFrame(pd_dict)
         traces = []
-        color = random_color()
+
+
         for ii in range(len(band_list)):
             trace = go.Scatter(
                 x=df['Band Path'],
@@ -502,7 +503,7 @@ def plotly_graph(res_data: dict, name: str, **kwargs) -> [list[go], go.layout]:
                 legendgroup=name,
                 legendgrouptitle_text=name,
                 mode='lines+markers',
-                line=dict(color=color)
+                line=dict(color=kwargs["color"])
             )
             traces.append(trace)
 
@@ -517,7 +518,6 @@ def plotly_graph(res_data: dict, name: str, **kwargs) -> [list[go], go.layout]:
             for point in seg:
                 k = list(point.keys())[0]
                 if connect_seg:
-                    #pre_k = list(x_label_list[-1].keys())[0]
                     new_k = f'{pre_k}/{k}'
                     x_label_list[-1][0] = new_k
                     connect_seg = False