删除诺木洪风场的读数特殊处理

app/services/HealthDataFetcher.py

@@ -19,13 +19,8 @@ class DataFetcher:
         :param windcode: 风场编号 (如 "WF001")
         :return: 列名列表 (如 ["timestamp", "temp1", "vibration1"])
         """
-        # 根据风场编号获取表名，特殊风场用反引号，其他风场不加反引号
-        special_wind_farms = {
-            #训练诺木洪风场时 删掉反引号
-            "WOF093400005": f"`{windcode}-WOB000001_minute`"  # 加上反引号
-           # "WOF093400005": f"{windcode}-WOB000001_minute"
-        }
-        table_name = special_wind_farms.get(windcode, f"{windcode}_minute")
+
+        table_name = f"{windcode}_minute"
         try:
             inspector = inspect(get_engine(dataBase.DATA_DB))
             columns = inspector.get_columns(table_name)
@@ -93,12 +88,8 @@ class DataFetcher:
                 return pd.DataFrame()
 
             # 3. 构建参数化查询
-            # 根据风场编号获取表名，特殊风场用反引号，其他风场不加反引号
-            special_wind_farms = {
-                "WOF093400005": f"`{windcode}-WOB000001_minute`"  # 加上反引号
-                #"WOF093400005": f"{windcode}-WOB000001_minute"
-            }
-            table_name = special_wind_farms.get(windcode, f"{windcode}_minute")
+
+            table_name = f"{windcode}_minute"
             query = f"""
             SELECT `year`,`mont`, {','.join(safe_features)} 
             FROM {table_name} 
@@ -132,12 +123,8 @@ class DataFetcher:
 
             # 将month格式从yyyy-mm转换为单独的年份和月份
             year, month = month.split('-')
-            # 根据风场编号获取表名，特殊风场用反引号，其他风场不加反引号
-            special_wind_farms = {
-                "WOF093400005": f"`{windcode}-WOB000001_minute`"  # 加上反引号
-                #"WOF093400005": f"{windcode}-WOB000001_minute"
-            }
-            table_name = special_wind_farms.get(windcode, f"{windcode}_minute")
+
+            table_name = f"{windcode}_minute"
             # 单次查询获取所有风机数据
             query = f"""
             SELECT `wind_turbine_number`, {','.join(safe_features)}