修改格式

dataAnalysisBusiness/algorithm/pitchTSRCpAnalyst.py

@@ -90,7 +90,7 @@ class PitchTSRCpAnalyst(AnalystWithGoodPoint):
                 #     y=-0.2
                 # )
             )
-                        # 确保从 Series 中提取的是具体的值
+            # 确保从 Series 中提取的是具体的值
             engineTypeCode = turbineModelInfo.get(Field_MillTypeCode, "")
             if isinstance(engineTypeCode, pd.Series):
                 engineTypeCode = engineTypeCode.iloc[0]
@@ -120,8 +120,8 @@ class PitchTSRCpAnalyst(AnalystWithGoodPoint):
             # 保存html
             filePathOfPng = os.path.join(outputAnalysisDir, f"{turbine_name}.png")
             fig.write_image(filePathOfPng)
-            filePathOfHtml = os.path.join(outputAnalysisDir, f"{turbine_name}.html")
-            fig.write_html(filePathOfHtml)
+            # filePathOfHtml = os.path.join(outputAnalysisDir, f"{turbine_name}.html")
+            # fig.write_html(filePathOfHtml)
 
 
             # 将JSON对象保存到文件
@@ -147,14 +147,14 @@ class PitchTSRCpAnalyst(AnalystWithGoodPoint):
                 Field_Return_FilePath: filePathOfPng,
                 Field_Return_IsSaveDatabase: False
             })
-            result_rows.append({
-                Field_Return_TypeAnalyst: self.typeAnalyst(),
-                Field_PowerFarmCode: conf.dataContract.dataFilter.powerFarmID,
-                Field_Return_BatchCode: conf.dataContract.dataFilter.dataBatchNum,
-                Field_CodeOfTurbine: turbine_code,
-                Field_Return_FilePath: filePathOfHtml,
-                Field_Return_IsSaveDatabase: True
-            })
+            # result_rows.append({
+            #     Field_Return_TypeAnalyst: self.typeAnalyst(),
+            #     Field_PowerFarmCode: conf.dataContract.dataFilter.powerFarmID,
+            #     Field_Return_BatchCode: conf.dataContract.dataFilter.dataBatchNum,
+            #     Field_CodeOfTurbine: turbine_code,
+            #     Field_Return_FilePath: filePathOfHtml,
+            #     Field_Return_IsSaveDatabase: True
+            # })
 
 
         result_df = pd.DataFrame(result_rows)