api重试间隔由0.1改为0.5

修改任务结束后向服务器发送的日期格式

back_ground_module/common_module.py

@@ -746,7 +746,7 @@ class CommonModule:
             run_time_sec = int(run_time.total_seconds())
 
             # 5. 格式化时间为 UTC 的 ISO 8601 格式（带 "Z"）
-            today_utc = end_time_utc.strftime("%Y-%m-%d")
+            today_utc = end_time_utc.strftime("%Y-%m-%dT%H:%M:%SZ")
             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")
 

back_ground_module/non_standar_performance_to_BI.py

@@ -24,6 +24,7 @@ os.makedirs(output_dir, exist_ok=True)
 
 class NonStandardPerformanceToBI:
     """ 非标业绩提报转BI"""
+
     def __init__(self):
         self.dealer_service_data = None
         self.field_mapping = {
@@ -54,27 +55,27 @@ class NonStandardPerformanceToBI:
             "新签提成比例-首年": "_widget_1753778922503",
             "新签提成比例-非首年": "_widget_1753778922548",
             "新签阶段及提成比例": "_widget_1753778656359",
-            "业绩动作":"_widget_1756708722933",
-            "提成动作":"_widget_1756708722932",
+            "业绩动作": "_widget_1756708722933",
+            "提成动作": "_widget_1756708722932",
             "新签阶段及提成比例.选择提成阶段": "_widget_1753778656359._widget_1753778656361",
             "新签阶段及提成比例.新签阶段": "_widget_1753778656359._widget_1753948745962",
             "新签阶段及提成比例.提成比例": "_widget_1753778656359._widget_1753778656362",
-            "业绩类型":"_widget_1753770875966",
-            "报备业绩归属小六":"_widget_1753770875901",
-            "原业绩归属大区":"_widget_1755159216098",
-            "业绩分类":"_widget_1758706882564",
-            "流程是否结束":"_widget_1761633418013",
-            "业绩类型-聚合":"_widget_1758706882564",
-            "业绩分组":"_widget_1762417447169",
-            "商品名称":"_widget_1762219744898",
-            "履约金额":"_widget_1762220516367",
-            "业绩归属日期":"_widget_1762417447127",
-            "公司名称":"_widget_1762420723743",
-            "公司ID":"_widget_1762420723744",
-            "报备业绩金额-区域提交":"_widget_1766375035236",
-            "业绩归属小六-区域提交":"_widget_1766461143813",
-            "业绩归属月":"_widget_1766375035265",
-            "是否同步衡石":"_widget_1766484337844",
+            "业绩类型": "_widget_1753770875966",
+            "报备业绩归属小六": "_widget_1753770875901",
+            "原业绩归属大区": "_widget_1755159216098",
+            "业绩分类": "_widget_1758706882564",
+            "流程是否结束": "_widget_1761633418013",
+            "业绩类型-聚合": "_widget_1758706882564",
+            "业绩分组": "_widget_1762417447169",
+            "商品名称": "_widget_1762219744898",
+            "履约金额": "_widget_1762220516367",
+            "业绩归属日期": "_widget_1762417447127",
+            "公司名称": "_widget_1762420723743",
+            "公司ID": "_widget_1762420723744",
+            "报备业绩金额-区域提交": "_widget_1766375035236",
+            "业绩归属小六-区域提交": "_widget_1766461143813",
+            "业绩归属月": "_widget_1766375035265",
+            "是否同步衡石": "_widget_1766484337844",
             "提交人": "creator",
             "提交时间": "createTime",
             "更新时间": "updateTime"
@@ -134,10 +135,20 @@ class NonStandardPerformanceToBI:
         df.columns = [reverse_mapping.get(col, col) for col in df.columns]
 
         # 只保留流程是否结束为是的内容
-        df = df[df["流程是否结束"] == "是"]
+        target_col = "流程是否结束"
+        if target_col in df.columns:
+            # 只有当列存在时才进行过滤，且 pandas 会自动处理 NaN != "是" 的情况
+            df = df[df[target_col] == "是"]
+        else:
+            logger.warning(f"字段 '{target_col}' 不存在，跳过过滤步骤，保留所有数据或根据业务需求处理。")
+
+        if df.empty:
+            logger.info("过滤后数据为空，无需后续处理。")
+            return df
 
         # 2.成员字段取值
-        user_columns = ["报备业绩归属小六", "报备业绩归属区域经理", "原业绩归属人", "原业绩归属区域经理", "运营专家","业绩归属小六-区域提交"]
+        user_columns = ["报备业绩归属小六", "报备业绩归属区域经理", "原业绩归属人", "原业绩归属区域经理", "运营专家",
+                        "业绩归属小六-区域提交"]
 
         for col in user_columns:
             df[col] = df[col].map(lambda x: x.get("name", "") if isinstance(x, dict) else "")
@@ -318,7 +329,7 @@ class NonStandardPerformanceToBI:
             common_module.send_task_status(task_start_time, "非标业绩提报转BI")
         except Exception as e:
             error_task_logger.error(f"非标业绩提报转BI发生错误{e}")
-            common_module.send_task_error(task_start_time,"非标业绩提报转BI", str(e))
+            common_module.send_task_error(task_start_time, "非标业绩提报转BI", str(e))
 
 
 if __name__ == '__main__':

back_ground_module/update_email_to_store_daily_use.py

@@ -321,7 +321,6 @@ class EmailProcessor:
                 charset='utf8mb4',
             )
 
-
             with connection.cursor() as cursor:
                 # 处理数据
                 df = df.where(pd.notna(df), None)  # 将NaN转换为None