部分问题修复

back_ground_module/import_performance_data.py

@@ -8,7 +8,6 @@ from back_ground_module import CommonModule
 from tqdm import tqdm
 from log_config import configure_task_logger, configure_error_task_logger
 
-
 logger = configure_task_logger()
 error_task_logger = configure_error_task_logger()
 start_time = datetime.datetime.now()
@@ -109,49 +108,6 @@ class ImportPerformanceData:
 
         return new_df
 
-    def main(self):
-        task_start_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-        try:
-            self.load_all_data()
-            # Step1:获取履约表数据
-            df = common_module.get_perforamnce_details()
-            logger.info("数据获取完成")
-
-            # Step2:清空现有数据
-            try:
-                id_list = [item["_id"] for item in self.performance_data_list]
-
-                delete_payload = {
-                    "api_key": "675b900991ad2491c69389ca",
-                    "entry_id": "68637c9818bc333fc14c30ad",
-                    "data_ids": id_list
-                }
-                api_instance.entry_data_batch_delete(delete_payload)
-                logger.info("数据删除完成")
-            except Exception as e:
-                error_task_logger.error(f"数据删除失败: {e}")
-                common_module.send_task_error(task_start_time, "履约表数据支撑", str(e))
-
-            # Step3:将数据写入简道云中
-            all_data = self.process_data(df)
-
-            # 分批处理，每批1000条
-            batch_size = 1000
-            for i in tqdm(range(0, len(all_data), batch_size)):
-                batch = all_data[i:i + batch_size]
-                payload = {
-                    "api_key": "675b900991ad2491c69389ca",
-                    "entry_id": "68637c9818bc333fc14c30ad",
-                    "data_list": batch
-                }
-                api_instance.entry_data_batch_create(payload)
-
-            logger.info("简道云数据写入完成")
-            common_module.send_task_status(task_start_time, "履约表数据支撑")
-        except Exception as e:
-            error_task_logger.error(f"履约表数据支撑执行失败: {e}")
-            common_module.send_task_error(task_start_time, "履约表数据支撑", str(e))
-
     @staticmethod
     def row_to_dict(row, field_mapping):
         """将一行数据转换为指定格式的字典"""
@@ -195,6 +151,49 @@ class ImportPerformanceData:
             '订单所处阶段': '_widget_1751350424117', '日分区': '_widget_1751350424118',
         }
 
+    def main(self):
+        task_start_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+        try:
+            self.load_all_data()
+            # Step1:获取履约表数据
+            df = common_module.get_perforamnce_details()
+            logger.info("数据获取完成")
+
+            # Step2:清空现有数据
+            try:
+                id_list = [item["_id"] for item in self.performance_data_list]
+
+                delete_payload = {
+                    "api_key": "675b900991ad2491c69389ca",
+                    "entry_id": "68637c9818bc333fc14c30ad",
+                    "data_ids": id_list
+                }
+                api_instance.entry_data_batch_delete(delete_payload)
+                logger.info("数据删除完成")
+            except Exception as e:
+                error_task_logger.error(f"数据删除失败: {e}")
+                common_module.send_task_error(task_start_time, "履约表数据支撑", str(e))
+
+            # Step3:将数据写入简道云中
+            all_data = self.process_data(df)
+
+            # 分批处理，每批1000条
+            batch_size = 1000
+            for i in tqdm(range(0, len(all_data), batch_size)):
+                batch = all_data[i:i + batch_size]
+                payload = {
+                    "api_key": "675b900991ad2491c69389ca",
+                    "entry_id": "68637c9818bc333fc14c30ad",
+                    "data_list": batch
+                }
+                api_instance.entry_data_batch_create(payload)
+
+            logger.info("简道云数据写入完成")
+            common_module.send_task_status(task_start_time, "履约表数据支撑")
+        except Exception as e:
+            error_task_logger.error(f"履约表数据支撑执行失败: {e}")
+            common_module.send_task_error(task_start_time, "履约表数据支撑", str(e))
+
 
 if __name__ == '__main__':
     start = ImportPerformanceData()

back_ground_module/yida_Fpo_Jandaoyun.py

@@ -281,11 +281,6 @@ class YDFpoJiandaoyun:
                 delete_payload
             )
 
-            if delete_result and delete_result.get("success", False):
-                logger.info("成功清除现有数据")
-            else:
-                error_msg = delete_result.get('message', '未知错误') if delete_result else '无响应'
-                error_task_logger.error(f"清除现有数据失败: {error_msg}")
 
         except Exception as e:
             error_task_logger.error(f"清除现有数据时发生错误: {e}", exc_info=True)