saas1.6

2025-08-12 13:43:10 +08:00
commit d5e60e9014
122 changed files with 171837 additions and 0 deletions
@@ -0,0 +1,95 @@
+# -*- coding: utf-8 -*-
+import pandas as pd
+import datetime
+from config import Config
+from api import API
+import pymysql  # 使用 pymysql 替代 mysql.connector
+from back_ground_module import CommonModule
+
+start_time = datetime.datetime.now()
+api_instance = API()
+common_module = CommonModule()
+
+
+class importSYXCXData:
+    """私域小程序数据支撑"""
+    def __init__(self):
+        self.field_mapping = {}
+        self.fields()
+
+    def main(self):
+        task_start_time =datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+        payload = {"api_key": Config.SaaS_Tasks_APP_ID,
+                   "entry_id":  Config.SYXCX_form_ID,
+                   }
+        abnormal_service = api_instance.entry_data_list(payload)
+        abnormal_list = abnormal_service.get("data")  # api请求格式，将数据封装在data字典里
+        for i in range(0,len(abnormal_list)):  # 删除历史数据
+            try:
+                delete_data = {"api_key": Config.SaaS_Tasks_APP_ID,
+                                "entry_id": Config.SYXCX_form_ID,
+                                "data_id": abnormal_list[i]['_id']}
+                api_instance.entry_data_delete(delete_data)
+            except:
+                pass
+
+
+
+        data_SY = common_module.get_syxcx_details()
+
+        # 生成包含所有行转换后的字典列表
+        data_SY = [self.row_to_dict(row, self.field_mapping) for index, row in data_SY.iterrows()] 
+        data_SY = {'api_key': Config.SaaS_Tasks_APP_ID, 'entry_id': Config.SYXCX_form_ID, "data_list": data_SY}
+        
+        result = api_instance.entry_data_batch_create(data_SY)
+        result_str = str(result)
+        # print(result_str[:500])
+
+        # 保存到Excel文件
+        # output_path = r'D:\Idea Project\F6+宜搭+其它(1)\new\文件输出\ngv明细1.xlsx'
+        # data_NGV_j.to_excel(output_path, index=False)
+
+        end_time = datetime.datetime.now()
+
+        time_diff = end_time - start_time
+
+        # 打印天数、秒数和微秒数
+        print(f"执行时间: {time_diff.days} 天, {time_diff.seconds} 秒, {time_diff.microseconds} 微秒")
+        common_module.send_task_status(task_start_time, "私域小程序数据支撑")
+
+    @staticmethod
+    def row_to_dict(row, field_mapping):
+        """将一行数据转换为指定格式的字典"""
+        result = {}
+        for col_name, widget_id in field_mapping.items():
+            if col_name in row:
+                value = row[col_name]
+                clean_value = None if pd.isna(value) else value
+                result[widget_id] = {"value": clean_value}
+        return result
+
+    def fields(self):
+        self.field_mapping = {
+                                "公司ID": "_widget_1742795002375",
+                                "公众号名称": "_widget_1742795002376",
+                                "小程序模板类型": "_widget_1742795002377",
+                                "是否开通微信商城": "_widget_1742795002378",
+                                "上架商品数": "_widget_1742795002379",
+                                "上架套餐卡数": "_widget_1742795002380",
+                                "上架实体商品数": "_widget_1742795002381",
+                                "上架项目数": "_widget_1742795002382",
+                                "上架套餐数": "_widget_1742795002383",
+                                "微信公众号粉丝数": "_widget_1742795002384",
+                                "微信公众号绑定手机粉丝数": "_widget_1742795002385",
+                                "是否开通微信小程序": "_widget_1742795002386",
+                                "微信小程序绑定用户数": "_widget_1742795002387",
+                                "微信小程序绑定手机用户量": "_widget_1742795002388",
+                                "微信订单数": "_widget_1742795002389",
+                                "微信支付订单量": "_widget_1742795002390",
+                                "线下订单数": "_widget_1742795002391"
+                            }
+
+
+if __name__ == '__main__':
+    start = importSYXCXData()
+    start.main()