fix: skip wind direction JSON generation when frequency data is empty

dataAnalysisBusiness/algorithm/windDirectionFrequencyAnalyst.py

@@ -281,12 +281,16 @@ class WindDirectionFrequencyAnalyst(AnalystNotFilter):
 
         result_rows = []
         for turbineCode in turbineCodes:
-            if turbineCode in self.frequency_data:
-                # 确保 enginName 是具体的值
-                enginName = dataFrameMerge[dataFrameMerge[Field_CodeOfTurbine] == turbineCode][Field_NameOfTurbine].iloc[0]
-                if isinstance(enginName, pd.Series):
-                    enginName = enginName.iloc[0]
+            if turbineCode not in self.frequency_data:
+                # 风向/风速数据缺失时 windRoseAnalysis 返回空，不生成空 JSON 文件
+                continue
+            # 确保 enginName 是具体的值
+            enginName = dataFrameMerge[dataFrameMerge[Field_CodeOfTurbine] == turbineCode][Field_NameOfTurbine].iloc[0]
+            if isinstance(enginName, pd.Series):
+                enginName = enginName.iloc[0]
             jsonDictionary = self.convert2Json(turbineModelInfo, turbineCode, dataFrameMerge)
+            if not jsonDictionary:
+                continue
             jsonFileName = f"wind_direction_frequency{enginName}.json"
             jsonFilePath = os.path.join(outputAnalysisDir, jsonFileName)
             JsonUtil.write_json(jsonDictionary, file_path=jsonFilePath)