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back_ground_module/update_NGV_data.py

@@ -113,7 +113,7 @@ class UpdateNGVData:
                 pass
 
             #
-            data = {'api_key': Config.SaaS_Tasks_APP_ID, 'entry_id': Config.NGV_TASKS_ENTRY_ID, "data_list": all_data}
+            data = {'api_key': Config.SaaS_Tasks_APP_ID, 'entry_id': Config.NGV_TASKS_ENTRY_ID, "data_list": all_data,"is_start_trigger":"true"}
 
             result = api_instance.entry_data_batch_create(data)
             logger.info(f"数据已推送:{result}")

back_ground_module/update_all_NGV_data_daily.py

@@ -66,6 +66,7 @@ import os
 import sys
 from concurrent.futures import ThreadPoolExecutor, as_completed
 import time
+import numpy as np
 
 # 添加父目录到Python路径，以便导入项目模块
 sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
@@ -616,6 +617,17 @@ class UpdateAllNGVDataDaily:
                     org_code = idx
                     data_dict[self.ORG_CODE_WIDGET_ID] = {"value": org_code}
 
+                # 新增：仅创建内容非全空的记录
+                # 检查除了门店编码外，其他字段是否全为空
+                all_empty = True
+                for k, v in data_dict.items():
+                    if k != self.ORG_CODE_WIDGET_ID and v.get('value') not in (None, '', float('nan')):
+                        all_empty = False
+                        break
+                if all_empty:
+                    logger.info(f"  - 跳过内容全空的新建记录 org_code: {idx}")
+                    continue
+
                 create_data_list.append({
                     'org_code': idx,
                     'data_dict': data_dict,
@@ -782,7 +794,9 @@ class UpdateAllNGVDataDaily:
                 create_data = {
                     'api_key': Config.SaaS_Tasks_APP_ID,
                     'entry_id': Config.NGV_TASKS_ENTRY_ID,
-                    'data': item['data_dict']
+                    'data': item['data_dict'],
+                    'is_start_trigger':'true',
+
                 }
                 api_instance.data_batch_create(data=create_data, max_retries=20)
                 success_count += 1

back_ground_module/update_email_to_store_daily_use.py

@@ -48,6 +48,7 @@ class EmailProcessor:
             "指标类型": "_widget_1742091963880",
             "指标值": "_widget_1742091963882",
             "指标子类型": "_widget_1742091963881",
+            "门店过期时间":"_widget_1761875317680"
         }
 
     def connect_email_by_pop3(self):
@@ -288,10 +289,12 @@ class EmailProcessor:
         email_df['门店ID'] = email_df['门店ID'].astype(str)
         email_df['指标归属日期'] = pd.to_datetime(email_df['指标归属日期'], format="%Y/%m/%d").dt.strftime("%Y-%m-%d")
         email_df["门店创建时间"] = pd.to_datetime(email_df['门店创建时间'], format="%Y-%m-%d %H:%M:%S")
+        email_df["门店过期时间"] = pd.to_datetime(email_df['门店过期时间'], format="%Y-%m-%d %H:%M:%S")
         new_email_df = email_df.copy()  # 拷贝传参
         for index, row in email_df.iterrows():
             email_df.loc[index, '指标归属日期'] = common_module.time_to_UTC(row['指标归属日期'])
             email_df.loc[index, '门店创建时间'] = common_module.time_to_UTC(row['门店创建时间'])
+            email_df.loc[index, '门店过期时间'] = common_module.time_to_UTC(row['门店过期时间'])
 
         email_data = [self.row_to_dict(row, self.field_mapping) for index, row in email_df.iterrows()]
         new_email_data = {'api_key': "673457d6837e60a418e0e56b",
@@ -361,7 +364,7 @@ class EmailProcessor:
                 return
             
             logger.info("邮件获取完成，开始处理数据")
-            email_df = processor.update_email()
+            email_df = processor.update_email() # 发送到简道云
             processor.up_to_BI(email_df)  # 发送到BI
             common_module.send_task_status(task_start_time, "海外邮件推送")
             logger.info("海外邮件推送任务完成")

back_ground_module/update_molecule_reporting_adjustment_to_bi.py

@@ -1,16 +1,11 @@
 import mysql.connector
-from mysql.connector import Error
 import numpy as np
-import pandas as pd
 from yd_api import YDAPI
 from api import API
 import pandas as pd
-from tqdm import tqdm
-import time
-from datetime import datetime, timedelta
+from datetime import datetime
 from config import Config
 from back_ground_module import CommonModule
-import logging
 from log_config import configure_task_logger, configure_error_task_logger
 import mysql.connector
 from mysql.connector import Error

test/BI.ipynb

@@ -257,8 +257,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-10-27T06:50:20.870562Z",
-     "start_time": "2025-10-27T06:50:20.631342Z"
+     "end_time": "2025-10-31T01:47:00.303760Z",
+     "start_time": "2025-10-31T01:46:58.373023Z"
     }
    },
    "cell_type": "code",
@@ -274,10 +274,10 @@
     "    }  # 衡时数据库链接配置-mysql\n",
     "# table_name = \"new_dealer_service_order_to_bi\"  # 替换为你的实际表名\n",
     "\n",
-    "table_name = \"non_standard_performance_to_BI\"\n",
-    "column_name = \"业绩分类\"\n",
-    "new_column_type = \"VARCHAR(255)\"  # 目标数据类型\n",
-    "# new_column_type = \"DATETIME\"  # 目标数据类型\n",
+    "table_name = \"thailand_store_data_email\"\n",
+    "column_name = \"门店过期时间\"\n",
+    "# new_column_type = \"VARCHAR(255)\"  # 目标数据类型\n",
+    "new_column_type = \"DATETIME\"  # 目标数据类型\n",
     "\n",
     "try:\n",
     "    # 连接数据库\n",
@@ -336,12 +336,12 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "✅ 成功添加字段: `业绩分类`\n",
+      "✅ 成功添加字段: `门店过期时间`\n",
       "数据库连接已关闭\n"
      ]
     }
    ],
-   "execution_count": 5
+   "execution_count": 1
   },
   {
    "metadata": {},