异常回访增加错误信息抛出

back_ground_module/common_module.py

@@ -6,7 +6,7 @@ import pandas as pd
 import pymysql
 from api import API
 from log_config import configure_task_logger, configure_error_task_logger
-
+import time
 
 api_instance = API()
 # 获取已经配置好的常规日志记录器
@@ -168,7 +168,6 @@ class CommonModule:
             cursor.close()
             conn.close()
 
-
             return data_yichang
 
         except Exception as e:
@@ -200,7 +199,7 @@ class CommonModule:
             # 执行语句并获取结果集
             cursor.execute(sql)
             rows = cursor.fetchall()
-            all_fields = cursor.description # 获取所有字段名
+            all_fields = cursor.description  # 获取所有字段名
 
             # 执行结果转化为dataframe
             col = [i[0] for i in all_fields]
@@ -215,7 +214,6 @@ class CommonModule:
             error_task_logger.error(f"获取续约待办数据时出错: {e}")
             return None
 
-
     def get_jcb_details(self, ):
         """
         从固定的数据库中获取前几天的借车宝。
@@ -510,7 +508,6 @@ class CommonModule:
             error_task_logger.error(f"获取履约表数据时出错: {e}")
             return None
 
-
     def get_GroupNotification_details(self, ):
         """
         从f6operation_data_relay数据库中获取短信数据支撑数据。
@@ -612,9 +609,11 @@ class CommonModule:
             task_start_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
             CommonModule.send_task_error(task_start_time, "发送任务状态", e)
 
-    def send_task_error(self, task_start_time: str, task_name: str, error_message: str) -> None:
+    def send_task_error(self, task_start_time: str, task_name: str, error_message: str,
+                        df: pd.DataFrame = None) -> None:
         """
         将任务失败情况发送到简道云（影响业务数据时调用）
+        :param df: 失败文件
         :param task_start_time: 任务开始时间（字符串格式："%Y-%m-%d %H:%M:%S"，表示北京时间 UTC+8）
         :param task_name: 任务名称
         :param error_message: 失败详情
@@ -639,7 +638,26 @@ class CommonModule:
             task_end_iso = end_time_utc.strftime("%Y-%m-%dT%H:%M:%SZ")
             task_start_iso = task_start_utc.strftime("%Y-%m-%dT%H:%M:%SZ")
 
-            # 6. 构造请求数据（所有时间以 UTC 格式发送）
+            # 6.上传附件
+            UUid = time.strftime("%Y%m%d%H%M%S", time.localtime())
+            if df is not None:
+                df.to_excel("upload_file.xlsx", index=False)
+                file_path = "upload_file.xlsx"
+
+                up_data = api_instance.get_upload_token(
+                    {"api_key": "6694d3c4fcb69ca9a111a6c4", "entry_id": "689ae65da00c17578e27cd74",
+                     "transaction_id": UUid})
+
+                upload_url = up_data.get("upload_url")
+                upload_token = up_data.get("upload_token")
+
+                upload_result = api_instance.upload_file(
+                    {"upload_url": upload_url, "upload_token": upload_token, "file_path": file_path})
+                upload_key = upload_result.get("key")
+            else:
+                upload_key = ""
+
+            # 7. 构造请求数据（所有时间以 UTC 格式发送）
             payload = {
                 "api_key": Config.SCHEDULED_TASKS_APP_ID,
                 "entry_id": Config.JDY_TASKS_ERROR_ENTRY_ID,
@@ -650,10 +668,12 @@ class CommonModule:
                     "_widget_1744873387502": {"value": task_end_iso},  # UTC 结束时间
                     "_widget_1744873387504": {"value": run_time_sec},
                     "_widget_1754981992215": {"value": error_message},  # 错误信息
-                }
+                    "_widget_1764830825356": {"value": [upload_key]}
+                },
+                "transaction_id": UUid
             }
 
-            # 7. 发送请求
+            # 8. 发送请求
             response = api_instance.data_batch_create(payload)
             logger.info(f"任务错误发生成功: {response}")