awg commit algorithm components

evaluation_processing/analysis_report.py

@@ -24,6 +24,18 @@ def put_analysis_report_to_html(args, df_clean, df_predict, df_accuracy):
     label = args['label']
     label_pre = args['label_pre']
     farmId = args['farmId']
+    df_clean = df_clean.applymap(
+        lambda x: float(x.to_decimal()) if isinstance(x, Decimal128) else float(x) if isinstance(x,
+                                                                                                 numbers.Number) else x).sort_values(
+        by=col_time)
+    df_predict = df_predict.applymap(
+        lambda x: float(x.to_decimal()) if isinstance(x, Decimal128) else float(x) if isinstance(x,
+                                                                                                 numbers.Number) else x).sort_values(
+        by=col_time)
+    df_accuracy = df_accuracy.applymap(
+        lambda x: float(x.to_decimal()) if isinstance(x, Decimal128) else float(x) if isinstance(x,
+                                                                                                 numbers.Number) else x).sort_values(
+        by=col_time)
     total_size = df_clean.shape[0]
     clean_size = total_size
     if 'is_limit' in df_clean.columns:
@@ -42,8 +54,8 @@ def put_analysis_report_to_html(args, df_clean, df_predict, df_accuracy):
     # -------------------- 实测气象与实际功率散点图--------------------
 
     # 生成实际功率与辐照度的散点图
-    # fig_scatter = px.scatter(df_clean, x=col_x_env, y=label, color='is_limit')
-    fig_scatter = px.scatter(df_clean, x=col_x_env, y=label)
+    fig_scatter = px.scatter(df_clean, x=col_x_env, y=label, color='is_limit')
+    # fig_scatter = px.scatter(df_clean, x=col_x_env, y=label)
     # 自定义散点图布局
     fig_scatter.update_layout(
         template='seaborn',