高德匹配手机号

.idea/csv-editor.xml

@@ -3,6 +3,20 @@
   <component name="CsvFileAttributes">
     <option name="attributeMap">
       <map>
+        <entry key="\back_ground_module\CRM.csv">
+          <value>
+            <Attribute>
+              <option name="separator" value="," />
+            </Attribute>
+          </value>
+        </entry>
+        <entry key="\back_ground_module\DF.csv">
+          <value>
+            <Attribute>
+              <option name="separator" value="," />
+            </Attribute>
+          </value>
+        </entry>
         <entry key="\db\task_queue.csv">
           <value>
             <Attribute>
@@ -17,6 +31,27 @@
             </Attribute>
           </value>
         </entry>
+        <entry key="\test\feibiao.csv">
+          <value>
+            <Attribute>
+              <option name="separator" value="," />
+            </Attribute>
+          </value>
+        </entry>
+        <entry key="\test\output\new_dealer_service_order_to_bi.csv">
+          <value>
+            <Attribute>
+              <option name="separator" value="," />
+            </Attribute>
+          </value>
+        </entry>
+        <entry key="\test\output\partner_settlement.csv">
+          <value>
+            <Attribute>
+              <option name="separator" value="," />
+            </Attribute>
+          </value>
+        </entry>
       </map>
     </option>
   </component>

api.py

@@ -303,6 +303,7 @@ class API:
             while retries <= max_retries:
                 try:
                     res: requests.Response = requests.post(url=url, data=payload, headers=headers, timeout=10)
+                    # print(res.json())
                     res.raise_for_status()  # 检查HTTP响应状态码，如果不等于200会抛出异常
                     data_get = res.json()
                     if data_get["status"] == "success":
@@ -353,6 +354,7 @@ class API:
                 res: requests.Response = requests.post(url=url, data=payload, headers=headers, timeout=10)
                 res.raise_for_status()  # 检查HTTP响应状态码，如果不等于200会抛出异常
                 data_get = res.json()
+                # print(data_get)
                 if res.status_code == 200:
                     break  # 成功则跳出循环
                 else:

back_ground_module/Exception_Task.py

@@ -233,6 +233,7 @@ class NewExceptionTask:
                             province_name = NGV_Data.get("_widget_1734062123090")
                             city_name = NGV_Data.get("_widget_1734062123092")
                             area_name = NGV_Data.get("_widget_1734062123094")
+                            # 
                             logger.info(f"获取关联数据成功:{NGV_data_id}, {province_name}, {city_name}, {area_name}")
 
                     if not NGV_data_id:

back_ground_module/GD_match_phone_number.py

@@ -0,0 +1,211 @@
+from datetime import datetime
+import os
+from config import Config
+import pandas as pd
+from back_ground_module import CommonModule
+from api import API
+from log_config import configure_task_logger, configure_error_task_logger
+import requests
+import numpy as np  # 确保导入numpy（如果涉及numpy数组）
+
+logger = configure_task_logger()
+error_task_logger = configure_error_task_logger()
+output_dir = "output"  # 设置输出目录
+os.makedirs(output_dir, exist_ok=True)
+common_module = CommonModule()
+api_instance = API()
+
+
+class GDMatchPhoneNumber:
+    def __init__(self):
+        self.loader_company_data = None
+        self.fild_mapping = {
+            "是否已查询": "_widget_1758594869262",
+            "省": "_widget_1758594869257",
+            "市": "_widget_1758594869258",
+            "区": "_widget_1758594869259",
+            "公司名称": "_widget_1758594869260",
+            "详细地址": "_widget_1758594869261",
+        }
+        self.upload_fild_mapping = {
+            "源文件省": "_widget_1758598285406",
+            "源文件市": "_widget_1758598285407",
+            "源文件区": "_widget_1758598285408",
+            "源文件地址": "_widget_1758598285409",
+            "源文件门店店名": "_widget_1758598285410",
+            "名称相似度": "_widget_1758598285411",
+            "地址相似度": "_widget_1758598285412",
+            "综合相似度": "_widget_1758598285413",
+            "address": "_widget_1758598285387",
+            "pname": "_widget_1758598285389",
+            "cityname": "_widget_1758598285393",
+            "adname": "_widget_1758598285400",
+            "name": "_widget_1758598285401",
+            "tel": "_widget_1758598285403",
+            "parent": "_widget_1758598285386",
+            "distance": "_widget_1758598285388",
+            "importance": "_widget_1758598285390",
+            "biz_ext": "_widget_1758598285391",
+            "biz_type": "_widget_1758598285392",
+            "type": "_widget_1758598285394",
+            "photos": "_widget_1758598285395",
+            "typecode": "_widget_1758598285396",
+            "shopinfo": "_widget_1758598285397",
+            "poiweight": "_widget_1758598285398",
+            "childtype": "_widget_1758598285399",
+            "location": "_widget_1758598285402",
+            "shopid": "_widget_1758598285404",
+            "id": "_widget_1758598285405"
+        }
+
+    def load_all_data(self):
+        # 获取经销商新签服务单数据
+        payload = {"api_key": "66f3a68c6e56814df2c6b1af",
+                   "entry_id": "68d20734a9add4c6126ee9f2",
+                   }
+        loader_company = api_instance.entry_data_list(payload)
+        self.loader_company_data = loader_company.get("data")  # api请求格式，将数据封装在data字典里
+
+
+
+    @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]
+                # 处理空数组/列表的情况
+                if isinstance(value, (list, np.ndarray)):
+                    if len(value) == 0:
+                        clean_value = None  # 空数组视为None
+                    else:
+                        clean_value = value  # 非空数组保留原值
+                # 处理缺失值
+                elif pd.isna(value):
+                    clean_value = None
+                # 处理时间戳
+                elif isinstance(value, pd.Timestamp):
+                    clean_value = value.strftime('%Y-%m-%dT%H:%M:%SZ')
+                else:
+                    clean_value = value
+                result[widget_id] = {"value": clean_value}
+        return result
+
+    def match_phone_number(self):
+        # 替换列明
+        df = pd.DataFrame(self.loader_company_data)
+        reserve_mapping = {v: k for k, v in self.fild_mapping.items()}
+        df.rename(columns=reserve_mapping, inplace=True)
+
+        # 统计出本日查询的订单数量
+        count = 0
+        url = "https://restapi.amap.com/v3/place/text?parameters"
+        all_data = []
+        for index, row in df.iterrows():
+            if row["是否已查询"] == "是":
+                continue
+
+            # 处理详细地址
+            cleaned = row['详细地址'].replace(row['市'], '').strip()
+            cleaned = cleaned.replace(row['区'], '').strip()
+            cleaned = ' '.join(cleaned.split())
+            row["详细地址"] = cleaned
+
+            # 特殊处理直辖市
+            if row["省"] in ["天津市", "上海市", "重庆市", "北京市"] and row["市"] == "市辖区":
+                row["市"] = row["省"]
+
+            key_words = row["公司名称"].replace("（个体工商户）", "").strip()
+
+            region = row["市"]
+            detail_address = row["详细地址"]
+
+            def search_amap(keywords, region, page_num):
+                params = {
+                    # "key": "f61b09d406ac49f8a034bf585e60c442",
+                    "key": "273b328f2e85b7e1ad6faa0d4f33ccf2",
+                    "keywords": keywords,
+                    "types": "010400|010500|010800|020000|030000",
+                    "city":region,
+                    # "region": region,
+                    "city_limit": "true",
+                    "page_size": "20",
+                    "page_num": str(page_num)
+                }
+                if count > 150:
+                    params.update({"key": "f61b09d406ac49f8a034bf585e60c442"})
+                res = requests.get(url=url, params=params)
+                # print(res.json())
+                return res.json().get("pois", [])
+
+            # 初始搜索关键词
+            current_keywords = key_words
+            max_pages = 2  # 最多请求2页
+
+            for page_num in range(1, max_pages + 1):
+                pois = search_amap(current_keywords, region, page_num)
+                for poi in pois:
+                    poi.update({"源文件省": row["省"]})
+                    poi.update({"源文件市": row["市"]})
+                    poi.update({"源文件区": row["区"]})
+                    poi.update({"源文件地址": row["详细地址"]})
+                    poi.update({"源文件门店店名": row["公司名称"]})
+                    all_data.append(poi)
+                count += 1
+
+            # 更新状态为已查询
+            modify_payload = {
+                "api_key": "66f3a68c6e56814df2c6b1af",
+                "entry_id": "68d20734a9add4c6126ee9f2",
+                "data_id": row["_id"],
+                "data":
+                    {
+                        "_widget_1758594869262": {"value":"是"}
+                    }
+
+            }
+            # print(modify_payload)
+            api_instance.entry_data_update(modify_payload)
+
+            if count > 300:
+                break
+        result_df = pd.DataFrame(all_data)
+        return result_df
+
+    def upload_df(self, result_df):
+        all_data = [self.row_to_dict(row, self.upload_fild_mapping) for index, row in result_df.iterrows()]  # 增量数据
+        payload = {
+            "api_key": "66f3a68c6e56814df2c6b1af",
+            "entry_id": "68d2148d8bcb4d1716b1c03f",
+            "data_list": all_data
+        }
+        api_instance.entry_data_batch_create(payload)
+
+    def main(self):
+        task_start_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+        try:
+
+            # 获取数据
+            self.load_all_data()
+            logger.info(f"数据加载完成。")
+
+            # 根据高德api匹配手机号
+            result_df = self.match_phone_number()
+            logger.info(f"数据匹配完成。")
+            # result_df.to_csv(os.path.join(output_dir, "result.csv"), index=False)
+
+            # 结果上传到简道云
+            self.upload_df(result_df)
+            logger.info(f"数据上传完成。")
+        except Exception as e:
+            # common_module.send_task_error(task_start_time, "高德匹配手机号", str(e))
+            error_task_logger.error(f"任务高德匹配手机号执行失败。")
+            raise
+
+        common_module.send_task_status(task_start_time, "高德匹配手机号")
+
+
+if __name__ == '__main__':
+    gd_match_phone_number = GDMatchPhoneNumber()
+    gd_match_phone_number.main()

back_ground_module/__init__.py

@@ -26,3 +26,4 @@ from back_ground_module.data_monitor import DataMonitor
 from back_ground_module.new_dealer_service_order_to_bi import NewDealerServiceOrderToBI
 from back_ground_module.non_standar_performance_to_BI import NonStandardPerformanceToBI
 from back_ground_module.partner_settlement_to_BI import PartnerSettlementToBI
+from back_ground_module.GD_match_phone_number import GDMatchPhoneNumber

back_ground_module/update_BI_CRM_info.py

@@ -182,7 +182,7 @@ class CRMDataProcessor:
         CRM_data_list = self.api_instance.entry_data_list(payload).get("data")
         CRM_data = pd.DataFrame(CRM_data_list)
         print("成功从API获取CRM数据")
-        CRM_data.to_csv("CRM.csv")
+        # CRM_data.to_csv("CRM.csv")
         return CRM_data
 
     def process_data(self, df):

module.py

@@ -306,7 +306,7 @@ class Module:
 
     @staticmethod
     def new_dealer_service_order_to_bi():
-        print("data_monitor")
+        print("new_dealer_service_order_to_bi")
         try:
             new_dealer_service_order_to_bi = back_ground_module.NewDealerServiceOrderToBI()
             thread = threading.Thread(target=new_dealer_service_order_to_bi.main)
@@ -318,7 +318,7 @@ class Module:
 
     @staticmethod
     def non_standar_performance_to_BI():
-        print("data_monitor")
+        print("non_standar_performance_to_BI")
         try:
             non_standar_performance_to_BI = back_ground_module.NonStandardPerformanceToBI()
             thread = threading.Thread(target=non_standar_performance_to_BI.main)
@@ -330,7 +330,7 @@ class Module:
 
     @staticmethod
     def partner_settlement_to_BI():
-        print("data_monitor")
+        print("partner_settlement_to_BI")
         try:
             partner_settlement_to_BI = back_ground_module.PartnerSettlementToBI()
             thread = threading.Thread(target=partner_settlement_to_BI.main)
@@ -340,6 +340,18 @@ class Module:
             print("data_Exception_Task", e)
             return False
 
+    @staticmethod
+    def GD_match_phone_number():
+        print("GD_match_phone_number")
+        try:
+            GD_match_phone_number = back_ground_module.GDMatchPhoneNumber()
+            thread = threading.Thread(target=GD_match_phone_number.main)
+            thread.start()
+            return "data_Exception_Task"
+        except Exception as e:
+            print("data_Exception_Task", e)
+            return False
+
     @staticmethod
     def text3():
         print("text3")

task_executor.py

@@ -41,6 +41,7 @@ def execute_task(task_id) -> bool:
         "经销商新签服务单转BI": Module.new_dealer_service_order_to_bi,
         "合伙人结算登记同步到BI": Module.partner_settlement_to_BI,
         "非标业绩提报转BI": Module.non_standar_performance_to_BI,
+        "高德匹配手机号": Module.GD_match_phone_number,
         # 添加更多任务函数映射...
     }
 

test/BI.ipynb

@@ -346,7 +346,7 @@
   {
    "metadata": {},
    "cell_type": "markdown",
-   "source": "## 修改数据库列明",
+   "source": "## 修改数据库列名",
    "id": "16823b535b354ced"
   },
   {

test/coupon_data_to_BI.py

@@ -0,0 +1,255 @@
+import pandas as pd
+import requests
+import json
+from time import sleep
+from module import F6_module
+import mysql.connector
+from mysql.connector import Error
+from datetime import datetime
+
+
+class CouponDataProcessor:
+    def __init__(self):
+        self.f6_module = F6_module()
+        self.base_url = "https://yunxiu.f6car.cn/macan/coupon/info/pagingCouponUsageRecord"
+        self.headers = {
+            'accept': 'application/json, text/plain, */*',
+            'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
+            'referer': 'https://yunxiu.f6car.cn/erp/view/index.html'
+        }
+        self.db_config = {
+            'host': "f6-public.rwlb.rds.aliyuncs.com",
+            'user': "rw_operation_data_relay",
+            'password': "m+q5Z4%IVuF9bf",
+            'database': "f6operation_data_relay"
+        }  # 衡时数据库链接配置-mysql
+        self.username = "15222738424"
+        self.password = "cw25966929@"
+
+    def drop_column(self, cursor, table_name, column_name):
+        """删除表中的指定列"""
+        try:
+            # 检查列是否存在
+            cursor.execute(f"SHOW COLUMNS FROM {table_name} LIKE '{column_name}'")
+            if cursor.fetchone():
+                # 如果列存在，则删除
+                drop_query = f"ALTER TABLE {table_name} DROP COLUMN {column_name}"
+                cursor.execute(drop_query)
+                print(f"成功从表 {table_name} 中删除列 {column_name}")
+            else:
+                print(f"表 {table_name} 中不存在列 {column_name}")
+        except Error as e:
+            print(f"删除列失败: {e}")
+
+    def _fetch_all_coupons(self, page_size=100):
+        """获取所有分页数据"""
+        cookies = self._login()
+        params = {
+            'keyword': '',
+            'couponName': '',
+            'currentPage': '1',
+            'pageSize': str(page_size),
+            'sorts': ''
+        }
+
+        # 获取第一页确定总页数
+        first_page = self._fetch_page(params, cookies)
+        if not first_page:
+            return None
+
+        total_records = first_page.get('info', {}).get('total', 0)
+        if total_records == 0:
+            return None
+
+        total_pages = (total_records + page_size - 1) // page_size
+        print(f"共发现 {total_records} 条记录，{total_pages} 页")
+
+        # 收集所有数据
+        all_data = first_page.get('info', {}).get('list', [])
+        for page in range(2, total_pages + 1):
+            params['currentPage'] = str(page)
+            print(f"正在获取第 {page}/{total_pages} 页...")
+            page_data = self._fetch_page(params, cookies)
+            if page_data:
+                all_data.extend(page_data.get('info', {}).get('list', []))
+            sleep(0.5)  # 礼貌延迟
+
+        return all_data
+
+    def _login(self):
+        """登录获取cookies"""
+        res = self.f6_module.login_in(self.username, self.password)
+        return requests.utils.dict_from_cookiejar(res.cookies)
+
+    def _fetch_page(self, params, cookies, max_retries=3):
+        """带重试机制的页面请求"""
+        for attempt in range(max_retries):
+            try:
+                response = requests.get(
+                    self.base_url,
+                    params=params,
+                    cookies=cookies,
+                    headers=self.headers,
+                    timeout=10
+                )
+                response.raise_for_status()
+                return response.json()
+            except Exception as e:
+                print(f"请求失败（尝试 {attempt + 1}/{max_retries}）: {str(e)}")
+                if attempt < max_retries - 1:
+                    sleep(2)
+        return None
+
+    def _process_data(self, raw_data):
+        """处理原始数据"""
+        df = pd.DataFrame(raw_data)
+
+        if not df.empty:
+            # 处理couponCarList字段（列表/字典转为JSON字符串）
+            if 'couponCarList' in df.columns:
+                df['couponCarList'] = df['couponCarList'].apply(
+                    lambda x: json.dumps(x, ensure_ascii=False) if pd.notna(x) else None
+                )
+                # 同时提取carId和carNo
+                df['carId'] = df['couponCarList'].apply(
+                    lambda x: json.loads(x)[0].get('carId') if pd.notna(x) else None
+                )
+                df['carNo'] = df['couponCarList'].apply(
+                    lambda x: json.loads(x)[0].get('carNo') if pd.notna(x) else None
+                )
+
+            # 处理couponInfo字段（字典转为JSON字符串）
+            if 'couponInfo' in df.columns:
+                df['couponInfo'] = df['couponInfo'].apply(
+                    lambda x: json.dumps(x, ensure_ascii=False) if pd.notna(x) else None
+                )
+                # 同时展开部分常用字段
+                try:
+                    coupon_info = pd.json_normalize(df['couponInfo'].apply(
+                        lambda x: json.loads(x) if pd.notna(x) else {}
+                    ))
+                    df = pd.concat([df, coupon_info.add_prefix('couponInfo.')], axis=1)
+                except Exception as e:
+                    print(f"展开couponInfo时出错: {str(e)}")
+
+            # 处理时间字段
+            if 'takeTime' in df.columns:
+                df['takeTime'] = pd.to_datetime(df['takeTime'], unit='ms')
+            if 'useTime' in df.columns:
+                df['useTime'] = pd.to_datetime(df['useTime'], unit='ms')
+
+            # 重命名列
+            if 'id' in df.columns:
+                df = df.rename(columns={'id': 'id1'})
+
+        return df
+
+    def _import_to_database(self, df, table_name="coupon_usage_record_details", batch_size=1000):
+        """直接将处理后的DataFrame导入MySQL"""
+        conn = None
+        cursor = None
+        try:
+            # 连接数据库
+            conn = mysql.connector.connect(**self.db_config)
+            cursor = conn.cursor()
+
+            # 删除表中的所有数据
+            print(f"正在清空表 {table_name} 中的数据...")
+            cursor.execute(f"DELETE FROM {table_name}")
+            cursor.execute(f"ALTER TABLE {table_name} AUTO_INCREMENT = 1")
+            conn.commit()
+            print(f"已成功清空表 {table_name} 中的所有数据")
+
+            # 处理时间类型数据
+            datetime_columns = [col for col in df.columns if df[col].dtype == 'datetime64[ns]']
+            for col in datetime_columns:
+                df[col] = df[col].apply(self._convert_datetime)
+
+            # 处理所有数据，将NaN转为None
+            df = df.where(pd.notna(df), None)
+
+            # 获取数据库列信息
+            cursor.execute(f"SHOW COLUMNS FROM {table_name}")
+            db_columns = [col[0] for col in cursor.fetchall() if col[0] != 'id']
+
+            # 确保DataFrame列与数据库列一致
+            df = df[db_columns]
+
+            # 生成插入语句
+            columns = ', '.join([f"`{col}`" for col in df.columns])
+            placeholders = ', '.join(['%s'] * len(df.columns))
+            insert_query = f"INSERT INTO `{table_name}` ({columns}) VALUES ({placeholders})"
+
+            # 分批插入数据
+            print("开始导入数据...")
+            total_rows = len(df)
+            for i in range(0, total_rows, batch_size):
+                batch = df.iloc[i:i + batch_size]
+                # 将DataFrame转换为元组列表，并处理所有数据类型
+                records = [tuple(self._convert_datetime(val) if isinstance(val, (pd.Timestamp, datetime)) else val
+                                 for val in row)
+                           for row in batch.values]
+                try:
+                    cursor.executemany(insert_query, records)
+                    conn.commit()
+                    print(f"已导入 {min(i + batch_size, total_rows)}/{total_rows} 条记录")
+                except Error as e:
+                    conn.rollback()
+                    print(f"批量导入失败: {e}")
+                    # 尝试逐条导入以找出问题行
+                    for idx, record in enumerate(records):
+                        try:
+                            cursor.execute(insert_query, record)
+                            conn.commit()
+                        except Error as e:
+                            print(f"第 {i + idx + 1} 行导入失败: {e}")
+                            print(f"问题数据: {record}")
+                            conn.rollback()
+
+            print(f"成功导入 {total_rows} 条记录到 {table_name} 表")
+
+        except Error as e:
+            print(f"数据库操作失败: {e}")
+        except Exception as e:
+            print(f"发生错误: {e}")
+        finally:
+            if cursor:
+                cursor.close()
+            if conn:
+                conn.close()
+
+    @staticmethod
+    def _convert_datetime(value):
+        """将Pandas/NumPy时间类型转换为MySQL兼容的datetime"""
+        if pd.isna(value):
+            return None
+        if isinstance(value, pd.Timestamp):
+            return value.to_pydatetime()
+        if isinstance(value, datetime):
+            return value
+        return value
+
+    def execute_pipeline(self):
+        """执行完整数据处理流程"""
+        try:
+            # 1. 获取数据
+            print("开始获取优惠券数据...")
+            raw_data = self._fetch_all_coupons()
+            if not raw_data:
+                raise Exception("未能获取有效数据")
+
+            # 2. 处理数据
+            print("处理数据中...")
+            processed_df = self._process_data(raw_data)
+
+            # 3. 直接导入数据库
+            self._import_to_database(processed_df)
+            print("数据处理流程完成！")
+
+        except Exception as e:
+            print(f"流程执行失败: {e}")
+
+
+if __name__ == "__main__":
+    processor = CouponDataProcessor()
+    processor.execute_pipeline()

test/logs/task.log

@@ -24,3 +24,504 @@
 2025-08-20 16:58:29,045 - common_module.py - task_logger - INFO - 任务状态发送成功: {'data': {'creator': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'updater': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'deleter': None, 'createTime': '2025-08-20T08:58:26.821Z', 'updateTime': '2025-08-20T08:58:26.821Z', 'deleteTime': None, '_widget_1744873387500': '2025-08-20T00:00:00.000Z', '_widget_1743644977694': '非标业绩提报转BI', '_widget_1744873387501': '2025-08-20T08:58:28.000Z', '_widget_1744873387502': '2025-08-20T08:58:28.000Z', '_widget_1744873387504': '0', '_id': '68a58e326435007d9a859fa2', 'appId': '6694d3c4fcb69ca9a111a6c4', 'entryId': '67ede908eb9c22261016466e'}}
 2025-08-27 11:11:22,356 - api.py - task_logger - INFO - 已获取 1 条数据
 2025-08-27 11:11:49,228 - api.py - task_logger - INFO - 已获取 1 条数据
+2025-09-23 14:22:39,699 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 14:22:39,868 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 14:22:39,995 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 14:22:40,184 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 14:22:40,352 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 14:22:40,492 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 14:22:40,611 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 14:22:40,714 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 14:22:40,834 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 14:22:42,650 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 14:22:42,806 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 14:22:42,930 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 14:22:43,029 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 14:22:43,120 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 14:22:43,203 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 14:22:43,344 - common_module.py - task_logger - INFO - 任务错误发生成功: {'data': {'creator': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'updater': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'deleter': None, 'createTime': '2025-09-23T06:22:42.311Z', 'updateTime': '2025-09-23T06:22:42.311Z', 'deleteTime': None, '_widget_1744873387500': '2025-09-23T00:00:00.000Z', '_widget_1743644977694': '高德匹配手机号', '_widget_1744873387501': '2025-09-23T06:22:39.000Z', '_widget_1744873387502': '2025-09-23T06:22:43.000Z', '_widget_1744873387504': '4', '_widget_1754981992215': "'地址'", '_id': '68d23cb2c29ebe9e6fe1f5bf', 'appId': '6694d3c4fcb69ca9a111a6c4', 'entryId': '689ae65da00c17578e27cd74'}}
+2025-09-23 14:34:40,525 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 14:34:40,808 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 14:34:40,939 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 14:34:41,071 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 14:34:41,193 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 14:34:41,296 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 14:34:41,403 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 14:34:41,525 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 14:34:41,630 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 14:34:41,759 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 14:34:48,082 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 14:34:48,284 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 14:34:48,397 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 14:34:48,496 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 14:34:48,581 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 14:34:49,162 - common_module.py - task_logger - INFO - 任务错误发生成功: {'data': {'creator': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'updater': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'deleter': None, 'createTime': '2025-09-23T06:34:48.013Z', 'updateTime': '2025-09-23T06:34:48.013Z', 'deleteTime': None, '_widget_1744873387500': '2025-09-23T00:00:00.000Z', '_widget_1743644977694': '高德匹配手机号', '_widget_1744873387501': '2025-09-23T06:34:40.000Z', '_widget_1744873387502': '2025-09-23T06:34:48.000Z', '_widget_1744873387504': '8', '_widget_1754981992215': "'门店店名'", '_id': '68d23f88ddd4b80401f266d6', 'appId': '6694d3c4fcb69ca9a111a6c4', 'entryId': '689ae65da00c17578e27cd74'}}
+2025-09-23 14:35:32,056 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 14:35:32,266 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 14:35:32,402 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 14:35:32,519 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 14:35:32,638 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 14:35:32,763 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 14:35:32,878 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 14:35:33,000 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 14:35:33,222 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 14:35:33,357 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 14:35:33,471 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 14:35:33,620 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 14:35:33,767 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 14:35:33,870 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 14:35:33,962 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 14:38:56,932 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 14:38:57,036 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 14:38:57,159 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 14:38:57,341 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 14:38:57,449 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 14:38:57,563 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 14:38:57,680 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 14:38:57,793 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 14:38:57,923 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 14:38:58,126 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 14:38:58,238 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 14:38:58,353 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 14:38:58,462 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 14:38:58,569 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 14:38:58,655 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 14:39:00,908 - 高德匹配手机号.py - task_logger - INFO - 数据匹配完成。
+2025-09-23 14:39:00,930 - api.py - task_logger - INFO - 多数据写入行数: 81
+2025-09-23 14:43:26,670 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 14:43:26,804 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 14:43:26,919 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 14:43:27,094 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 14:43:27,211 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 14:43:27,336 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 14:43:27,980 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 14:43:28,098 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 14:43:28,239 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 14:43:28,907 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 14:43:29,037 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 14:43:29,237 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 14:43:29,481 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 14:43:29,581 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 14:43:29,901 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 14:43:31,612 - 高德匹配手机号.py - task_logger - INFO - 数据匹配完成。
+2025-09-23 15:21:42,426 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 15:21:42,557 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 15:21:42,682 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 15:21:42,797 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 15:21:42,914 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 15:21:43,063 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 15:21:43,201 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 15:21:43,377 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 15:21:43,497 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 15:21:43,617 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 15:21:43,732 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 15:21:43,881 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 15:21:43,999 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 15:21:44,110 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 15:21:44,198 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 15:21:46,162 - 高德匹配手机号.py - task_logger - INFO - 数据匹配完成。
+2025-09-23 15:21:46,168 - api.py - task_logger - INFO - 多数据写入行数: 81
+2025-09-23 15:22:27,046 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 15:22:27,180 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 15:22:27,353 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 15:22:27,478 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 15:22:27,647 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 15:22:27,769 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 15:22:27,866 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 15:22:27,980 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 15:22:28,086 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 15:22:28,211 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 15:22:28,352 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 15:22:28,481 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 15:22:28,695 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 15:22:28,792 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 15:22:28,931 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 15:22:30,668 - 高德匹配手机号.py - task_logger - INFO - 数据匹配完成。
+2025-09-23 15:22:30,684 - api.py - task_logger - INFO - 多数据写入行数: 81
+2025-09-23 15:22:30,900 - 高德匹配手机号.py - task_logger - INFO - 数据上传完成。
+2025-09-23 15:22:31,062 - common_module.py - task_logger - INFO - 任务状态发送成功: {'data': {'creator': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'updater': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'deleter': None, 'createTime': '2025-09-23T07:22:29.922Z', 'updateTime': '2025-09-23T07:22:29.922Z', 'deleteTime': None, '_widget_1744873387500': '2025-09-23T00:00:00.000Z', '_widget_1743644977694': '高德匹配手机号', '_widget_1744873387501': '2025-09-23T07:22:26.000Z', '_widget_1744873387502': '2025-09-23T07:22:30.000Z', '_widget_1744873387504': '4', '_id': '68d24ab5b9f5979bc00fc137', 'appId': '6694d3c4fcb69ca9a111a6c4', 'entryId': '67ede908eb9c22261016466e'}}
+2025-09-23 15:37:25,783 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 15:37:25,924 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 15:37:26,117 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 15:37:27,398 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 15:37:27,511 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 15:37:27,623 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 15:37:27,735 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 15:37:28,099 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 15:37:28,261 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 15:37:28,436 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 15:37:28,584 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 15:37:28,804 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 15:37:28,921 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 15:37:29,034 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 15:37:29,118 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 15:37:30,830 - 高德匹配手机号.py - task_logger - INFO - 数据匹配完成。
+2025-09-23 15:37:30,840 - api.py - task_logger - INFO - 多数据写入行数: 80
+2025-09-23 15:37:31,046 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:37:31,268 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:37:31,526 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:37:31,770 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:37:32,050 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:37:32,311 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:37:32,597 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:37:32,919 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:37:33,156 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:37:33,407 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:37:33,666 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:37:33,910 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:37:34,146 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:37:34,385 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:37:34,624 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:37:34,854 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:25,206 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 15:38:25,399 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 15:38:25,554 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 15:38:25,743 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 15:38:25,883 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 15:38:26,023 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 15:38:26,152 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 15:38:26,278 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 15:38:26,380 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 15:38:26,604 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 15:38:26,709 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 15:38:26,849 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 15:38:26,972 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 15:38:27,090 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 15:38:27,182 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 15:38:28,849 - 高德匹配手机号.py - task_logger - INFO - 数据匹配完成。
+2025-09-23 15:38:28,858 - api.py - task_logger - INFO - 多数据写入行数: 80
+2025-09-23 15:38:29,008 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:29,245 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:29,498 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:29,731 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:29,989 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:30,983 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:31,253 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:31,529 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:31,782 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:32,050 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:32,281 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:32,637 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:33,344 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:33,577 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:33,879 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:34,759 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:35,011 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:35,239 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:35,494 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:35,738 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:36,089 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:38:36,197 - 高德匹配手机号.py - task_logger - INFO - 数据上传完成。
+2025-09-23 15:38:36,329 - common_module.py - task_logger - INFO - 任务状态发送成功: {'data': {'creator': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'updater': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'deleter': None, 'createTime': '2025-09-23T07:38:35.191Z', 'updateTime': '2025-09-23T07:38:35.191Z', 'deleteTime': None, '_widget_1744873387500': '2025-09-23T00:00:00.000Z', '_widget_1743644977694': '高德匹配手机号', '_widget_1744873387501': '2025-09-23T07:38:25.000Z', '_widget_1744873387502': '2025-09-23T07:38:36.000Z', '_widget_1744873387504': '11', '_id': '68d24e7b9d258d744c3dbda0', 'appId': '6694d3c4fcb69ca9a111a6c4', 'entryId': '67ede908eb9c22261016466e'}}
+2025-09-23 15:39:32,940 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 15:39:33,076 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 15:39:33,183 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 15:39:33,318 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 15:39:33,497 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 15:39:33,610 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 15:39:33,738 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 15:39:43,791 - api.py - task_logger - WARNING - 请求异常: HTTPSConnectionPool(host='api.jiandaoyun.com', port=443): Read timed out. (read timeout=10), 将重新请求
+2025-09-23 15:39:43,993 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 15:39:44,099 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 15:39:44,223 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 15:39:44,373 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 15:39:44,584 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 15:39:44,712 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 15:39:44,830 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 15:39:45,042 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 15:39:47,082 - 高德匹配手机号.py - task_logger - INFO - 数据匹配完成。
+2025-09-23 15:39:47,097 - api.py - task_logger - INFO - 多数据写入行数: 80
+2025-09-23 15:39:47,262 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:47,510 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:47,757 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:48,045 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:48,419 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:48,673 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:48,923 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:49,193 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:49,453 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:49,689 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:49,945 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:50,182 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:50,421 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:50,677 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:50,923 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:51,196 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:51,443 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:51,685 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:51,925 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:52,205 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:52,524 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:39:52,632 - 高德匹配手机号.py - task_logger - INFO - 数据上传完成。
+2025-09-23 15:39:52,779 - common_module.py - task_logger - INFO - 任务状态发送成功: {'data': {'creator': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'updater': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'deleter': None, 'createTime': '2025-09-23T07:39:51.623Z', 'updateTime': '2025-09-23T07:39:51.623Z', 'deleteTime': None, '_widget_1744873387500': '2025-09-23T00:00:00.000Z', '_widget_1743644977694': '高德匹配手机号', '_widget_1744873387501': '2025-09-23T07:39:32.000Z', '_widget_1744873387502': '2025-09-23T07:39:52.000Z', '_widget_1744873387504': '20', '_id': '68d24ec71dab6171a1fe3b55', 'appId': '6694d3c4fcb69ca9a111a6c4', 'entryId': '67ede908eb9c22261016466e'}}
+2025-09-23 15:42:01,694 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 15:42:01,824 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 15:42:01,948 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 15:42:02,163 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 15:42:02,281 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 15:42:02,410 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 15:42:02,530 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 15:42:02,649 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 15:42:02,760 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 15:42:02,904 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 15:42:03,062 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 15:42:03,187 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 15:42:03,852 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 15:42:03,951 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 15:42:04,045 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 15:42:05,734 - 高德匹配手机号.py - task_logger - INFO - 数据匹配完成。
+2025-09-23 15:42:05,748 - api.py - task_logger - INFO - 多数据写入行数: 80
+2025-09-23 15:42:05,895 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:42:06,281 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:42:06,522 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:42:06,750 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:42:07,103 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:49:27,211 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 15:49:27,338 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 15:49:27,444 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 15:49:27,573 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 15:49:27,688 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 15:49:27,805 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 15:49:27,911 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 15:49:28,023 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 15:49:28,149 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 15:49:28,310 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 15:49:28,443 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 15:49:28,598 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 15:49:28,750 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 15:49:28,840 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 15:49:33,950 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 15:49:35,947 - 高德匹配手机号.py - task_logger - INFO - 数据匹配完成。
+2025-09-23 15:49:35,965 - api.py - task_logger - INFO - 多数据写入行数: 80
+2025-09-23 15:49:36,104 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:49:36,332 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:49:36,603 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:49:36,839 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:49:37,082 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:49:37,470 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:49:37,708 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:49:37,971 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:49:38,203 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:49:38,470 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:49:38,711 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:49:38,988 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:49:39,519 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:51:53,634 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 15:51:53,746 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 15:51:53,957 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 15:51:54,089 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 15:51:54,214 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 15:51:54,366 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 15:51:54,534 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 15:51:54,642 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 15:51:54,804 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 15:51:54,945 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 15:51:55,054 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 15:51:55,161 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 15:51:55,262 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 15:51:55,400 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 15:51:55,506 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 15:52:15,759 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 15:52:15,867 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 15:52:16,073 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 15:52:16,195 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 15:52:16,317 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 15:52:16,420 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 15:52:16,532 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 15:52:16,669 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 15:52:16,901 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 15:52:17,011 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 15:52:17,116 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 15:52:17,230 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 15:52:17,998 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 15:52:18,163 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 15:52:18,265 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 15:52:20,450 - 高德匹配手机号.py - task_logger - INFO - 数据匹配完成。
+2025-09-23 15:52:20,464 - api.py - task_logger - INFO - 多数据写入行数: 60
+2025-09-23 15:52:20,596 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:21,097 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:21,339 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:21,625 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:21,893 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:22,125 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:22,369 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:22,721 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:22,961 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:23,201 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:23,431 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:23,654 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:23,882 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:24,125 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:24,418 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:24,654 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:24,883 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:25,126 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:25,385 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:25,629 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:25,953 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:52:26,059 - 高德匹配手机号.py - task_logger - INFO - 数据上传完成。
+2025-09-23 15:52:26,217 - common_module.py - task_logger - INFO - 任务状态发送成功: {'data': {'creator': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'updater': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'deleter': None, 'createTime': '2025-09-23T07:52:25.051Z', 'updateTime': '2025-09-23T07:52:25.051Z', 'deleteTime': None, '_widget_1744873387500': '2025-09-23T00:00:00.000Z', '_widget_1743644977694': '高德匹配手机号', '_widget_1744873387501': '2025-09-23T07:52:15.000Z', '_widget_1744873387502': '2025-09-23T07:52:26.000Z', '_widget_1744873387504': '11', '_id': '68d251b9e45fb014d780bac1', 'appId': '6694d3c4fcb69ca9a111a6c4', 'entryId': '67ede908eb9c22261016466e'}}
+2025-09-23 15:55:07,599 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 15:55:08,435 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 15:55:08,557 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 15:55:08,699 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 15:55:08,805 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 15:55:08,936 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 15:55:18,985 - api.py - task_logger - WARNING - 请求异常: HTTPSConnectionPool(host='api.jiandaoyun.com', port=443): Read timed out. (read timeout=10), 将重新请求
+2025-09-23 15:55:19,214 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 15:55:19,377 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 15:55:19,487 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 15:55:19,613 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 15:55:19,746 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 15:55:19,865 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 15:55:19,980 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 15:55:26,143 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 15:55:26,313 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 15:55:28,093 - 高德匹配手机号.py - task_logger - INFO - 数据匹配完成。
+2025-09-23 15:55:28,108 - api.py - task_logger - INFO - 多数据写入行数: 80
+2025-09-23 15:55:29,056 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:55:29,432 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:55:29,673 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:55:29,927 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:55:30,209 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:55:30,451 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:55:30,715 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:55:30,981 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:55:31,292 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:55:31,566 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:55:31,859 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:55:32,100 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:55:32,350 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 15:55:32,602 - api.py - task_logger - WARNING - 请求异常: 400 Client Error: Bad Request for url: https://api.jiandaoyun.com/api/v5/app/entry/data/batch_create, 将重新请求
+2025-09-23 16:00:29,570 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 16:00:29,849 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 16:00:30,052 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 16:00:30,871 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 16:00:31,660 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 16:00:31,768 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 16:00:33,255 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 16:00:33,378 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 16:00:43,457 - api.py - task_logger - WARNING - 请求异常: HTTPSConnectionPool(host='api.jiandaoyun.com', port=443): Read timed out. (read timeout=10), 将重新请求
+2025-09-23 16:00:53,625 - api.py - task_logger - WARNING - 请求异常: HTTPSConnectionPool(host='api.jiandaoyun.com', port=443): Read timed out. (read timeout=10), 将重新请求
+2025-09-23 16:00:55,017 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 16:00:57,668 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 16:00:57,788 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 16:01:01,128 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 16:01:01,621 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 16:01:02,023 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 16:01:03,616 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 16:01:05,430 - 高德匹配手机号.py - task_logger - INFO - 数据匹配完成。
+2025-09-23 16:01:05,446 - api.py - task_logger - INFO - 多数据写入行数: 80
+2025-09-23 16:01:06,378 - 高德匹配手机号.py - task_logger - INFO - 数据上传完成。
+2025-09-23 16:01:06,642 - common_module.py - task_logger - INFO - 任务状态发送成功: {'data': {'creator': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'updater': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'deleter': None, 'createTime': '2025-09-23T08:01:05.442Z', 'updateTime': '2025-09-23T08:01:05.442Z', 'deleteTime': None, '_widget_1744873387500': '2025-09-23T00:00:00.000Z', '_widget_1743644977694': '高德匹配手机号', '_widget_1744873387501': '2025-09-23T08:00:29.000Z', '_widget_1744873387502': '2025-09-23T08:01:06.000Z', '_widget_1744873387504': '37', '_id': '68d253c1b44b90e2e4c45116', 'appId': '6694d3c4fcb69ca9a111a6c4', 'entryId': '67ede908eb9c22261016466e'}}
+2025-09-23 16:09:06,750 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 16:09:06,871 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 16:09:07,006 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 16:09:07,125 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 16:09:07,268 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 16:09:07,427 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 16:09:07,630 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 16:09:07,745 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 16:09:07,885 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 16:09:08,015 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 16:09:08,161 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 16:09:09,192 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 16:09:09,714 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 16:09:09,839 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 16:09:09,941 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 16:09:54,240 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 16:09:54,356 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 16:09:54,478 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 16:09:54,594 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 16:09:54,745 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 16:09:54,856 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 16:09:59,005 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 16:09:59,130 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 16:09:59,246 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 16:09:59,398 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 16:09:59,550 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 16:09:59,664 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 16:09:59,809 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 16:09:59,909 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 16:10:00,001 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 16:10:01,744 - 高德匹配手机号.py - task_logger - INFO - 数据匹配完成。
+2025-09-23 16:10:01,755 - api.py - task_logger - INFO - 多数据写入行数: 80
+2025-09-23 16:10:02,071 - 高德匹配手机号.py - task_logger - INFO - 数据上传完成。
+2025-09-23 16:10:03,339 - common_module.py - task_logger - INFO - 任务状态发送成功: {'data': {'creator': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'updater': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'deleter': None, 'createTime': '2025-09-23T08:10:02.001Z', 'updateTime': '2025-09-23T08:10:02.001Z', 'deleteTime': None, '_widget_1744873387500': '2025-09-23T00:00:00.000Z', '_widget_1743644977694': '高德匹配手机号', '_widget_1744873387501': '2025-09-23T08:09:54.000Z', '_widget_1744873387502': '2025-09-23T08:10:02.000Z', '_widget_1744873387504': '8', '_id': '68d255da1dc8b37de902fc6b', 'appId': '6694d3c4fcb69ca9a111a6c4', 'entryId': '67ede908eb9c22261016466e'}}
+2025-09-23 16:10:29,099 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 16:10:29,265 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 16:10:29,373 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 16:10:29,506 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 16:10:29,610 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 16:10:29,757 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 16:10:29,859 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 16:10:30,106 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 16:10:33,817 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 16:10:33,954 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 16:10:34,087 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 16:10:34,221 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 16:10:34,373 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 16:10:34,468 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 16:10:34,554 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 16:10:36,398 - 高德匹配手机号.py - task_logger - INFO - 数据匹配完成。
+2025-09-23 16:10:36,411 - api.py - task_logger - INFO - 多数据写入行数: 80
+2025-09-23 16:10:36,663 - 高德匹配手机号.py - task_logger - INFO - 数据上传完成。
+2025-09-23 16:10:36,804 - common_module.py - task_logger - INFO - 任务状态发送成功: {'data': {'creator': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'updater': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'deleter': None, 'createTime': '2025-09-23T08:10:35.607Z', 'updateTime': '2025-09-23T08:10:35.607Z', 'deleteTime': None, '_widget_1744873387500': '2025-09-23T00:00:00.000Z', '_widget_1743644977694': '高德匹配手机号', '_widget_1744873387501': '2025-09-23T08:10:28.000Z', '_widget_1744873387502': '2025-09-23T08:10:36.000Z', '_widget_1744873387504': '8', '_id': '68d255fbd3229b60812d76e5', 'appId': '6694d3c4fcb69ca9a111a6c4', 'entryId': '67ede908eb9c22261016466e'}}
+2025-09-23 16:19:15,437 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 16:19:15,568 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 16:19:15,710 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 16:19:15,834 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 16:19:15,943 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 16:19:16,078 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 16:19:16,212 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 16:19:16,306 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 16:19:20,057 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 16:19:20,398 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 16:19:20,535 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 16:19:20,683 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 16:19:20,811 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 16:19:20,941 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 16:19:21,029 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 16:19:22,767 - 高德匹配手机号.py - task_logger - INFO - 数据匹配完成。
+2025-09-23 16:19:22,780 - api.py - task_logger - INFO - 多数据写入行数: 80
+2025-09-23 16:19:23,006 - 高德匹配手机号.py - task_logger - INFO - 数据上传完成。
+2025-09-23 16:19:23,164 - common_module.py - task_logger - INFO - 任务状态发送成功: {'data': {'creator': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'updater': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'deleter': None, 'createTime': '2025-09-23T08:19:21.959Z', 'updateTime': '2025-09-23T08:19:21.959Z', 'deleteTime': None, '_widget_1744873387500': '2025-09-23T00:00:00.000Z', '_widget_1743644977694': '高德匹配手机号', '_widget_1744873387501': '2025-09-23T08:19:15.000Z', '_widget_1744873387502': '2025-09-23T08:19:23.000Z', '_widget_1744873387504': '8', '_id': '68d25809910f75b800a234e3', 'appId': '6694d3c4fcb69ca9a111a6c4', 'entryId': '67ede908eb9c22261016466e'}}
+2025-09-23 16:20:03,874 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 16:20:06,038 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 16:20:06,151 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 16:20:07,503 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 16:20:07,633 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 16:20:08,490 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 16:20:08,615 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 16:20:08,785 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 16:20:08,911 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 16:20:09,023 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 16:20:11,476 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 16:20:11,581 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 16:20:11,688 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 16:20:14,010 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 16:20:14,116 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 16:20:15,962 - 高德匹配手机号.py - task_logger - INFO - 数据匹配完成。
+2025-09-23 16:20:15,975 - api.py - task_logger - INFO - 多数据写入行数: 80
+2025-09-23 16:20:16,233 - 高德匹配手机号.py - task_logger - INFO - 数据上传完成。
+2025-09-23 16:20:16,380 - common_module.py - task_logger - INFO - 任务状态发送成功: {'data': {'creator': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'updater': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'deleter': None, 'createTime': '2025-09-23T08:20:15.169Z', 'updateTime': '2025-09-23T08:20:15.169Z', 'deleteTime': None, '_widget_1744873387500': '2025-09-23T00:00:00.000Z', '_widget_1743644977694': '高德匹配手机号', '_widget_1744873387501': '2025-09-23T08:20:03.000Z', '_widget_1744873387502': '2025-09-23T08:20:16.000Z', '_widget_1744873387504': '13', '_id': '68d2583f6f80b30088af4d57', 'appId': '6694d3c4fcb69ca9a111a6c4', 'entryId': '67ede908eb9c22261016466e'}}
+2025-09-23 16:22:48,406 - api.py - task_logger - INFO - 已获取 100 条数据
+2025-09-23 16:22:49,971 - api.py - task_logger - INFO - 已获取 200 条数据
+2025-09-23 16:22:50,081 - api.py - task_logger - INFO - 已获取 300 条数据
+2025-09-23 16:22:50,237 - api.py - task_logger - INFO - 已获取 400 条数据
+2025-09-23 16:22:50,355 - api.py - task_logger - INFO - 已获取 500 条数据
+2025-09-23 16:23:00,420 - api.py - task_logger - WARNING - 请求异常: HTTPSConnectionPool(host='api.jiandaoyun.com', port=443): Read timed out. (read timeout=10), 将重新请求
+2025-09-23 16:23:00,623 - api.py - task_logger - INFO - 已获取 600 条数据
+2025-09-23 16:23:00,741 - api.py - task_logger - INFO - 已获取 700 条数据
+2025-09-23 16:23:00,871 - api.py - task_logger - INFO - 已获取 800 条数据
+2025-09-23 16:23:01,006 - api.py - task_logger - INFO - 已获取 900 条数据
+2025-09-23 16:23:01,158 - api.py - task_logger - INFO - 已获取 1000 条数据
+2025-09-23 16:23:01,258 - api.py - task_logger - INFO - 已获取 1100 条数据
+2025-09-23 16:23:01,369 - api.py - task_logger - INFO - 已获取 1200 条数据
+2025-09-23 16:23:01,489 - api.py - task_logger - INFO - 已获取 1300 条数据
+2025-09-23 16:23:01,590 - api.py - task_logger - INFO - 已获取 1336 条数据
+2025-09-23 16:23:01,676 - 高德匹配手机号.py - task_logger - INFO - 数据加载完成。
+2025-09-23 16:24:41,650 - 高德匹配手机号.py - task_logger - INFO - 数据匹配完成。
+2025-09-23 16:24:42,473 - api.py - task_logger - INFO - 多数据写入行数: 4188
+2025-09-23 16:24:58,057 - 高德匹配手机号.py - task_logger - INFO - 数据上传完成。
+2025-09-23 16:24:58,178 - common_module.py - task_logger - INFO - 任务状态发送成功: {'data': {'creator': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'updater': {'name': 'F6汽车科技', 'username': '#admin', 'status': 1, 'type': 0}, 'deleter': None, 'createTime': '2025-09-23T08:24:56.968Z', 'updateTime': '2025-09-23T08:24:56.968Z', 'deleteTime': None, '_widget_1744873387500': '2025-09-23T00:00:00.000Z', '_widget_1743644977694': '高德匹配手机号', '_widget_1744873387501': '2025-09-23T08:22:48.000Z', '_widget_1744873387502': '2025-09-23T08:24:58.000Z', '_widget_1744873387504': '130', '_id': '68d25958856a1852caa6decb', 'appId': '6694d3c4fcb69ca9a111a6c4', 'entryId': '67ede908eb9c22261016466e'}}

test/高德匹配手机号.py

@@ -0,0 +1,211 @@
+from datetime import datetime
+import os
+from config import Config
+import pandas as pd
+from back_ground_module import CommonModule
+from api import API
+from log_config import configure_task_logger, configure_error_task_logger
+import requests
+import numpy as np  # 确保导入numpy（如果涉及numpy数组）
+
+logger = configure_task_logger()
+error_task_logger = configure_error_task_logger()
+output_dir = "output"  # 设置输出目录
+os.makedirs(output_dir, exist_ok=True)
+common_module = CommonModule()
+api_instance = API()
+
+
+class GDMatchPhoneNumber:
+    def __init__(self):
+        self.loader_company_data = None
+        self.fild_mapping = {
+            "是否已查询": "_widget_1758594869262",
+            "省": "_widget_1758594869257",
+            "市": "_widget_1758594869258",
+            "区": "_widget_1758594869259",
+            "公司名称": "_widget_1758594869260",
+            "详细地址": "_widget_1758594869261",
+        }
+        self.upload_fild_mapping = {
+            "源文件省": "_widget_1758598285406",
+            "源文件市": "_widget_1758598285407",
+            "源文件区": "_widget_1758598285408",
+            "源文件地址": "_widget_1758598285409",
+            "源文件门店店名": "_widget_1758598285410",
+            "名称相似度": "_widget_1758598285411",
+            "地址相似度": "_widget_1758598285412",
+            "综合相似度": "_widget_1758598285413",
+            "address": "_widget_1758598285387",
+            "pname": "_widget_1758598285389",
+            "cityname": "_widget_1758598285393",
+            "adname": "_widget_1758598285400",
+            "name": "_widget_1758598285401",
+            "tel": "_widget_1758598285403",
+            "parent": "_widget_1758598285386",
+            "distance": "_widget_1758598285388",
+            "importance": "_widget_1758598285390",
+            "biz_ext": "_widget_1758598285391",
+            "biz_type": "_widget_1758598285392",
+            "type": "_widget_1758598285394",
+            "photos": "_widget_1758598285395",
+            "typecode": "_widget_1758598285396",
+            "shopinfo": "_widget_1758598285397",
+            "poiweight": "_widget_1758598285398",
+            "childtype": "_widget_1758598285399",
+            "location": "_widget_1758598285402",
+            "shopid": "_widget_1758598285404",
+            "id": "_widget_1758598285405"
+        }
+
+    def load_all_data(self):
+        # 获取经销商新签服务单数据
+        payload = {"api_key": "66f3a68c6e56814df2c6b1af",
+                   "entry_id": "68d20734a9add4c6126ee9f2",
+                   }
+        loader_company = api_instance.entry_data_list(payload)
+        self.loader_company_data = loader_company.get("data")  # api请求格式，将数据封装在data字典里
+
+
+
+    @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]
+                # 处理空数组/列表的情况
+                if isinstance(value, (list, np.ndarray)):
+                    if len(value) == 0:
+                        clean_value = None  # 空数组视为None
+                    else:
+                        clean_value = value  # 非空数组保留原值
+                # 处理缺失值
+                elif pd.isna(value):
+                    clean_value = None
+                # 处理时间戳
+                elif isinstance(value, pd.Timestamp):
+                    clean_value = value.strftime('%Y-%m-%dT%H:%M:%SZ')
+                else:
+                    clean_value = value
+                result[widget_id] = {"value": clean_value}
+        return result
+
+    def match_phone_number(self):
+        # 替换列明
+        df = pd.DataFrame(self.loader_company_data)
+        reserve_mapping = {v: k for k, v in self.fild_mapping.items()}
+        df.rename(columns=reserve_mapping, inplace=True)
+
+        # 统计出本日查询的订单数量
+        count = 0
+        url = "https://restapi.amap.com/v3/place/text?parameters"
+        all_data = []
+        for index, row in df.iterrows():
+            if row["是否已查询"] == "是":
+                continue
+
+            # 处理详细地址
+            cleaned = row['详细地址'].replace(row['市'], '').strip()
+            cleaned = cleaned.replace(row['区'], '').strip()
+            cleaned = ' '.join(cleaned.split())
+            row["详细地址"] = cleaned
+
+            # 特殊处理直辖市
+            if row["省"] in ["天津市", "上海市", "重庆市", "北京市"] and row["市"] == "市辖区":
+                row["市"] = row["省"]
+
+            key_words = row["公司名称"].replace("（个体工商户）", "").strip()
+
+            region = row["市"]
+            detail_address = row["详细地址"]
+
+            def search_amap(keywords, region, page_num):
+                params = {
+                    # "key": "f61b09d406ac49f8a034bf585e60c442",
+                    "key": "273b328f2e85b7e1ad6faa0d4f33ccf2",
+                    "keywords": keywords,
+                    "types": "010400|010500|010800|020000|030000",
+                    "city":region,
+                    # "region": region,
+                    "city_limit": "true",
+                    "page_size": "20",
+                    "page_num": str(page_num)
+                }
+                if count > 150:
+                    params.update({"key": "f61b09d406ac49f8a034bf585e60c442"})
+                res = requests.get(url=url, params=params)
+                # print(res.json())
+                return res.json().get("pois", [])
+
+            # 初始搜索关键词
+            current_keywords = key_words
+            max_pages = 2  # 最多请求2页
+
+            for page_num in range(1, max_pages + 1):
+                pois = search_amap(current_keywords, region, page_num)
+                for poi in pois:
+                    poi.update({"源文件省": row["省"]})
+                    poi.update({"源文件市": row["市"]})
+                    poi.update({"源文件区": row["区"]})
+                    poi.update({"源文件地址": row["详细地址"]})
+                    poi.update({"源文件门店店名": row["公司名称"]})
+                    all_data.append(poi)
+                count += 1
+
+            # 更新状态为已查询
+            modify_payload = {
+                "api_key": "66f3a68c6e56814df2c6b1af",
+                "entry_id": "68d20734a9add4c6126ee9f2",
+                "data_id": row["_id"],
+                "data":
+                    {
+                        "_widget_1758594869262": {"value":"是"}
+                    }
+
+            }
+            # print(modify_payload)
+            api_instance.entry_data_update(modify_payload)
+
+            if count > 300:
+                break
+        result_df = pd.DataFrame(all_data)
+        return result_df
+
+    def upload_df(self, result_df):
+        all_data = [self.row_to_dict(row, self.upload_fild_mapping) for index, row in result_df.iterrows()]  # 增量数据
+        payload = {
+            "api_key": "66f3a68c6e56814df2c6b1af",
+            "entry_id": "68d2148d8bcb4d1716b1c03f",
+            "data_list": all_data
+        }
+        api_instance.entry_data_batch_create(payload)
+
+    def main(self):
+        task_start_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+        try:
+
+            # 获取数据
+            self.load_all_data()
+            logger.info(f"数据加载完成。")
+
+            # 根据高德api匹配手机号
+            result_df = self.match_phone_number()
+            logger.info(f"数据匹配完成。")
+            # result_df.to_csv(os.path.join(output_dir, "result.csv"), index=False)
+
+            # 结果上传到简道云
+            self.upload_df(result_df)
+            logger.info(f"数据上传完成。")
+        except Exception as e:
+            # common_module.send_task_error(task_start_time, "高德匹配手机号", str(e))
+            error_task_logger.error(f"任务高德匹配手机号执行失败。")
+            raise
+
+        common_module.send_task_status(task_start_time, "高德匹配手机号")
+
+
+if __name__ == '__main__':
+    gd_match_phone_number = GDMatchPhoneNumber()
+    gd_match_phone_number.main()