diff --git a/张阳脚本/F6汽车系统/套餐卡、储值卡退卡.py b/张阳脚本/F6汽车系统/套餐卡、储值卡退卡.py index c9e578b..df2ab5a 100644 --- a/张阳脚本/F6汽车系统/套餐卡、储值卡退卡.py +++ b/张阳脚本/F6汽车系统/套餐卡、储值卡退卡.py @@ -63,7 +63,7 @@ def ceshi(formData) -> str: print("生成失败预警！") -cookies_str ="marketingSESSIONID=0ac63d8a-75d0-498f-b8fe-a878331c7489; sensorsdata2015jssdkcross=%7B%22distinct_id%22%3A%2215932094283302236249%22%2C%22first_id%22%3A%2219b11da5605dba-09ce585a75d9ef-26011a51-2073600-19b11da5606f14%22%2C%22props%22%3A%7B%22%24latest_traffic_source_type%22%3A%22%E7%9B%B4%E6%8E%A5%E6%B5%81%E9%87%8F%22%2C%22%24latest_search_keyword%22%3A%22%E6%9C%AA%E5%8F%96%E5%88%B0%E5%80%BC_%E7%9B%B4%E6%8E%A5%E6%89%93%E5%BC%80%22%2C%22%24latest_referrer%22%3A%22%22%7D%2C%22%24device_id%22%3A%2219b11da5605dba-09ce585a75d9ef-26011a51-2073600-19b11da5606f14%22%7D; erpLanguage=zh-CN; unp=15932094283302236249; un=15932094283302236249; _up=-NillNN-qyBEJ--t3vnSknvoOF52zvONuckH23g8WuVfVffDo5DQjaZJ9Q3d-WrAAGgt60MgQHajHWBHMKKxj0CuWypi1JgKCFP1EPEk-HbqE_ATrYol1AAP_PVRv-ZNHu3M-GTc15uzFX6srOVWiusYklXFPBdmrEj9zR-69s-xcmc.; tmall=false; Hm_lvt_25f5e7a3a5dbb293d7dd35d5f1be8d0a=1773372154,1773382507,1773713140,1773741734; HMACCOUNT=350677B71627FB45; prodOrg=16015140731148603474; Hm_lpvt_25f5e7a3a5dbb293d7dd35d5f1be8d0a=1773743099" +cookies_str ="macanSESSIONID=6a135db3-5515-4acf-abf0-6c903afc9391; erpLanguage=zh-CN; prodOrg=11240984669916808518; unp=10907434497511789553; un=10907434497511789553; _up=-NillNN-qyBEJ--t3vnSknvoOFt2zfaJs8kB2nw6W-ZaXvjEoprQjaZJ9Q3d-WrAAGgt60MgQHajHWBHMKKxj0CuWypi1JgKCFP1EPEk-HbqE_oUr4wj1gUK-_hRv-ZNHu3M-GTZ15i2EXSsquRSjOobl17KOxZsrEj9mB66_c6yTmA.; sensorsdata2015jssdkcross=%7B%22distinct_id%22%3A%2210907434497511789553%22%2C%22first_id%22%3A%2219b6df76a22f46-04a98afdd2a11d8-4c657b58-1327104-19b6df76a2312c7%22%2C%22props%22%3A%7B%22%24latest_traffic_source_type%22%3A%22%E7%9B%B4%E6%8E%A5%E6%B5%81%E9%87%8F%22%2C%22%24latest_search_keyword%22%3A%22%E6%9C%AA%E5%8F%96%E5%88%B0%E5%80%BC_%E7%9B%B4%E6%8E%A5%E6%89%93%E5%BC%80%22%2C%22%24latest_referrer%22%3A%22%22%7D%2C%22%24device_id%22%3A%2219b6df76a22f46-04a98afdd2a11d8-4c657b58-1327104-19b6df76a2312c7%22%7D; tmall=false; Hm_lvt_25f5e7a3a5dbb293d7dd35d5f1be8d0a=1778119278,1778823299,1778838735,1779067120; HMACCOUNT=A6A0585E8C70051D; Hm_lpvt_25f5e7a3a5dbb293d7dd35d5f1be8d0a=1779067429" cookies_str = cookies_str.encode('utf-8').decode('latin-1') cookie_dict = {item.split('=')[0]: item.split('=')[1] @@ -75,10 +75,10 @@ headers = { 'origin': 'https://yunxiu.f6car.cn' } # 读取excel文件 -# data = xlrd.open_workbook(r"D:\Idea Project\F6+宜搭+其它(1)\张阳脚本\模板\套餐卡退卡.xls") -data = xlrd.open_workbook(r"C:\Users\hp_z66\OneDrive\Desktop\钉钉文件\退卡.xls") +data = xlrd.open_workbook(r"D:\Idea Project\F6+宜搭+其它(1)\张阳脚本\模板\套餐卡退卡.xls") +# data = xlrd.open_workbook(r"C:\Users\hp_z66\OneDrive\Desktop\钉钉文件\退卡.xls") -table = data.sheet_by_index(1) # 通过索引顺序获取 +table = data.sheet_by_index(0) # 通过索引顺序获取 h = table.nrows @@ -132,7 +132,7 @@ for i in tqdm(range(1, h)): "czkList": [], "paymentList": [ { - "paymentTypeId": "6932687", # 各门店不同 手动更新 + "paymentTypeId": "19080776", # 各门店不同 手动更新 "paymentType": "现金", "paymentAmount": idMember2, "gatheringType": 0, diff --git a/张阳脚本/F6汽车系统/客户信息删除-部分删除.py b/张阳脚本/F6汽车系统/客户信息删除-部分删除.py index 99035ff..1fbe28b 100644 --- a/张阳脚本/F6汽车系统/客户信息删除-部分删除.py +++ b/张阳脚本/F6汽车系统/客户信息删除-部分删除.py @@ -1,12 +1,12 @@ -import pandas as pd -import requests -from module import F6_module -import time -from tqdm import tqdm from pathlib import Path -from datetime import datetime -import json import traceback +import requests +import json +import time +from datetime import datetime +from tqdm import tqdm +import pandas as pd +import os #+ # f6_module = F6_module() @@ -15,23 +15,23 @@ import traceback # username = "13799889725" # password = "Lc1234" # store_name = "禹城榕桦" -module = 2 +module = 1 # # res = f6_module.login_in(username, password, store_name) # # cookies = requests.utils.dict_from_cookiejar(res.cookies) cookies = { - 'memberSESSIONID': '38d027b4-1f86-44fe-a8d2-2211fbd46394', + 'memberSESSIONID': '639e52b2-1260-47a9-8d0b-d0cd41054738', 'erpLanguage': 'zh-CN', 'tmall': 'false', - 'Hm_lvt_25f5e7a3a5dbb293d7dd35d5f1be8d0a': '1775553704,1775799422,1776043595,1776153876', + 'Hm_lvt_25f5e7a3a5dbb293d7dd35d5f1be8d0a': '1776909170,1776923216,1777270359,1777277857', 'HMACCOUNT': 'A6A0585E8C70051D', - 'prodOrg': '11240984669918128522', - 'unp': '15851362811188895763', - 'un': '15851362811188895763', - '_up': '-NillNN-qyBEJ--t3vnSknvoOF53yPCOts8N0no-Uu9VX_TGoZrQjaZJ9Q3d-WrAAGgt60MgQHajHWBHMKKxj0CuWypi1JgKCFP1EPEk-HbqE_UXoIgm0QIF_PBRv-ZNHu3M-GTc1p2wFnGqpuxUiOMSmF_GORVsrEj92RzBn7rDYmA.', - 'sensorsdata2015jssdkcross': '%7B%22distinct_id%22%3A%2215851362811188895763%22%2C%22first_id%22%3A%2219b6df76a22f46-04a98afdd2a11d8-4c657b58-1327104-19b6df76a2312c7%22%2C%22props%22%3A%7B%22%24latest_traffic_source_type%22%3A%22%E7%9B%B4%E6%8E%A5%E6%B5%81%E9%87%8F%22%2C%22%24latest_search_keyword%22%3A%22%E6%9C%AA%E5%8F%96%E5%88%B0%E5%80%BC_%E7%9B%B4%E6%8E%A5%E6%89%93%E5%BC%80%22%2C%22%24latest_referrer%22%3A%22%22%7D%2C%22%24device_id%22%3A%2219b6df76a22f46-04a98afdd2a11d8-4c657b58-1327104-19b6df76a2312c7%22%7D', - 'Hm_lpvt_25f5e7a3a5dbb293d7dd35d5f1be8d0a': '1776393475', + 'unp': '16023446149142708289', + 'un': '16023446149142708289', + '_up': '-NillNN-qyBEJ--t3vnSknvoOF1_z_KJtMsE13I-XuVaVvnDr5DQjaZJ9Q3d-WrAAGgt60MgQHajHWBHMKKxj0CuWypi1JgKCFP1EPEk-HbqE_QQq4Ml3wcK_PBRv-ZNHu3M-GTf3pqyEXOur-lciO8Yl1bLPBtmrEj90x3BhsH6PGY.', + 'sensorsdata2015jssdkcross': '%7B%22distinct_id%22%3A%2216023446149142708289%22%2C%22first_id%22%3A%2219b6df76a22f46-04a98afdd2a11d8-4c657b58-1327104-19b6df76a2312c7%22%2C%22props%22%3A%7B%22%24latest_traffic_source_type%22%3A%22%E7%9B%B4%E6%8E%A5%E6%B5%81%E9%87%8F%22%2C%22%24latest_search_keyword%22%3A%22%E6%9C%AA%E5%8F%96%E5%88%B0%E5%80%BC_%E7%9B%B4%E6%8E%A5%E6%89%93%E5%BC%80%22%2C%22%24latest_referrer%22%3A%22%22%7D%2C%22%24device_id%22%3A%2219b6df76a22f46-04a98afdd2a11d8-4c657b58-1327104-19b6df76a2312c7%22%7D', + 'prodOrg': '16070511835941490720', + 'Hm_lpvt_25f5e7a3a5dbb293d7dd35d5f1be8d0a': '1777428810', } print("cookies loaded") @@ -41,36 +41,98 @@ script_dir = Path(__file__).resolve().parent output_base = script_dir / f"请求结果_{datetime.now():%Y%m%d_%H%M%S}" -df = pd.read_excel(fr"D:\Idea Project\F6+宜搭+其它(1)\张阳脚本\文件输出\车辆信息.xlsx",sheet_name="Sheet2").astype(str) +df = pd.read_excel(fr"C:\Users\hp_z66\Desktop\客户信息.xlsx",sheet_name="客户信息").astype(str) -if module == 1: # 客户信息删除 +if module == 1: # 客户信息删除 + # --- 初始化日志列表 --- + delete_logs = [] # 删除操作日志 + query_logs = [] # 查询日志 + + # --- 1. 数据准备 --- df['手机号码'] = df['手机号码'].astype(str).str.strip().str.replace('.0$', '', regex=True) df['手机号码'].dropna(inplace=True) - url = "https://yunxiu.f6car.cn/member/customer/listForPermission?pageSize=50000&pageNo=1" # 获取客户信息列表 - res = requests.get(url, cookies=cookies) - row = {"ts": datetime.now().strftime("%Y-%m-%d %H:%M:%S"), "module": module, "action": "customer_list", "url": url} - row["status_code"] = getattr(res, "status_code", None) - row["ok"] = getattr(res, "ok", None) - try: - row["response_json"] = json.dumps(res.json(), ensure_ascii=False) - except Exception: + # 将需要删除的手机号转为集合，查询速度更快 + phones_to_delete = set(df['手机号码'].values) + print(f"待删除手机号数量: {len(phones_to_delete)}") + + # --- 2. 分页查询所有客户 --- + base_url = "https://yunxiu.f6car.cn/member/customer/listForPermission" + id_own_org = "16070511835941490720" + page_size = 100 + page_no = 1 + + all_customers = [] + + print("正在获取所有客户数据...") + while True: + params = { + "idOwnOrg": id_own_org, + "pageSize": page_size, + "pageNo": page_no + } try: - row["response_text"] = res.text - except Exception: - row["response_text"] = None - request_results.append(row) - data = res.json() - for item in tqdm(data['data']['data']): + res = requests.get(base_url, params=params, cookies=cookies) + query_log = { + "ts": datetime.now().strftime("%Y-%m-%d %H:%M:%S"), + "module": module, + "action": "customer_list_page", + "url": res.url, + "page_no": page_no + } + query_log["status_code"] = getattr(res, "status_code", None) + query_log["ok"] = getattr(res, "ok", None) + + data = res.json() + query_log["response_json"] = json.dumps(data, ensure_ascii=False) + request_results.append(query_log) + query_logs.append(query_log) + + # 获取当前页的数据列表 + page_data = data.get('data', {}).get('data', []) + + # 如果当前页没有数据了，说明已经取完，跳出循环 + if not page_data: + print(f"第 {page_no} 页没有数据了，获取完毕。") + break + + all_customers.extend(page_data) + print(f"已获取第 {page_no} 页，共 {len(page_data)} 条数据。累计获取: {len(all_customers)} 条") + + page_no += 1 + time.sleep(0.5) + + except Exception as e: + print(f"获取第 {page_no} 页数据时出错: {e}") + error_log = { + "ts": datetime.now().strftime("%Y-%m-%d %H:%M:%S"), + "module": module, + "action": "customer_list_error", + "page_no": page_no, + "error": str(e) + } + query_logs.append(error_log) + break + + # --- 3. 遍历所有客户并执行删除 --- + print(f"开始处理删除操作，共需检查 {len(all_customers)} 个客户...") + + success_count = 0 + failed_count = 0 + + for item in tqdm(all_customers): try: idCustomer = item['idCustomer'] phone = item['cellPhone'] phone_clean = str(phone).strip().replace('.0', '') - if phone in df['手机号码'].values: - print("删除：", phone) - url = f"https://yunxiu.f6car.cn/member/customer/{idCustomer}" # 客户信息删除url - res = requests.delete(url, cookies=cookies) # 客户信息删除 - row = { + + # 检查手机号是否在待删除列表中 + if phone_clean in phones_to_delete: + print(f"\n正在删除: {phone_clean}") + url = f"https://yunxiu.f6car.cn/member/customer/{idCustomer}" + + # 记录删除开始 + delete_log = { "ts": datetime.now().strftime("%Y-%m-%d %H:%M:%S"), "module": module, "action": "customer_delete", @@ -78,23 +140,122 @@ if module == 1: # 客户信息删除 "idCustomer": idCustomer, "cellPhone": phone_clean, } - row["status_code"] = getattr(res, "status_code", None) - row["ok"] = getattr(res, "ok", None) + + res = requests.delete(url, cookies=cookies) + + delete_log["status_code"] = getattr(res, "status_code", None) + delete_log["ok"] = getattr(res, "ok", None) + + # 解析响应 try: - row["response_json"] = json.dumps(res.json(), ensure_ascii=False) + response_data = res.json() + delete_log["response_json"] = json.dumps(response_data, ensure_ascii=False) + delete_log["response_code"] = response_data.get('code', '') + delete_log["response_msg"] = response_data.get('msg', '') except Exception: - try: - row["response_text"] = res.text - except Exception: - row["response_text"] = None - request_results.append(row) - print(res.json(), idCustomer, phone) + delete_log["response_text"] = res.text + delete_log["response_code"] = '' + delete_log["response_msg"] = '响应解析失败' + + # 判断删除是否成功 + if res.ok and delete_log.get("response_code") == 200: + delete_log["delete_status"] = "成功" + success_count += 1 + print(f"✓ 成功删除: {phone_clean}") + else: + delete_log["delete_status"] = "失败" + failed_count += 1 + print(f"✗ 删除失败: {phone_clean}") + + request_results.append(delete_log) + delete_logs.append(delete_log) + + # 打印详细结果 + try: + print(response_data) + except: + print(res.text[:200]) # 只打印前200个字符 + time.sleep(3) - else: - # print("不删除：", phone) - pass - except: - idCustomer = item['idCustomer'] + + except Exception as e: + # 记录异常情况 + error_log = { + "ts": datetime.now().strftime("%Y-%m-%d %H:%M:%S"), + "module": module, + "action": "customer_delete_error", + "idCustomer": item.get('idCustomer', '未知'), + "cellPhone": phone_clean if 'phone_clean' in locals() else item.get('cellPhone', '未知'), + "error": str(e), + "delete_status": "异常" + } + delete_logs.append(error_log) + failed_count += 1 + print(f"处理客户 {item.get('idCustomer', '未知')} 时出错: {e}") + + # --- 4. 保存日志到Excel文件 --- + print("\n正在保存日志文件...") + + # 创建日志目录 + log_dir = "delete_logs" + if not os.path.exists(log_dir): + os.makedirs(log_dir) + + timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") + + # 保存删除操作日志 + if delete_logs: + df_delete_logs = pd.DataFrame(delete_logs) + + # 选择要保存的列（可根据需要调整） + columns_to_save = [ + "ts", "action", "idCustomer", "cellPhone", + "delete_status", "status_code", "ok", + "response_code", "response_msg", "error" + ] + + # 只保存存在的列 + existing_columns = [col for col in columns_to_save if col in df_delete_logs.columns] + df_delete_logs = df_delete_logs[existing_columns] + + delete_log_file = f"{log_dir}/删除操作日志_{timestamp}.xlsx" + df_delete_logs.to_excel(delete_log_file, index=False, engine='openpyxl') + print(f"删除操作日志已保存到: {delete_log_file}") + + # 保存查询日志 + if query_logs: + df_query_logs = pd.DataFrame(query_logs) + query_log_file = f"{log_dir}/查询日志_{timestamp}.xlsx" + df_query_logs.to_excel(query_log_file, index=False, engine='openpyxl') + print(f"查询日志已保存到: {query_log_file}") + + # 保存汇总信息 + summary_data = { + "项目": ["待删除手机号数量", "查询到的客户总数", "实际执行删除数", "删除成功", "删除失败", "执行时间"], + "数值": [ + len(phones_to_delete), + len(all_customers), + success_count + failed_count, + success_count, + failed_count, + datetime.now().strftime("%Y-%m-%d %H:%M:%S") + ] + } + df_summary = pd.DataFrame(summary_data) + summary_file = f"{log_dir}/删除汇总_{timestamp}.xlsx" + df_summary.to_excel(summary_file, index=False, engine='openpyxl') + print(f"删除汇总已保存到: {summary_file}") + + # 打印最终统计 + print("\n" + "=" * 50) + print("删除操作完成！") + print(f"待删除手机号: {len(phones_to_delete)} 个") + print(f"查询到客户总数: {len(all_customers)} 个") + print(f"实际执行删除: {success_count + failed_count} 次") + print(f"删除成功: {success_count} 个") + print(f"删除失败/异常: {failed_count} 个") + print(f"日志文件保存在: {log_dir}/ 目录下") + print("=" * 50) if module == 2: # 客户车辆信息删除 for index, row in tqdm(df.iterrows(), total=len(df)): diff --git a/张阳脚本/boss/boss权限自动审批.py b/张阳脚本/boss/boss权限自动审批.py index 6df7309..5d863ae 100644 --- a/张阳脚本/boss/boss权限自动审批.py +++ b/张阳脚本/boss/boss权限自动审批.py @@ -9,7 +9,7 @@ token = "Bearer qygHulymo1fekJk4CIZyNKjyQAzG8CFN" class API: - def entry_data_list(self, data: dict, replace: bool = False, max_retries: int = 20) -> Dict: # 获取多条表单数据 + def entry_data_list(self, data: dict, replace: bool = False, max_retries: int = 5) -> Dict: # 获取多条表单数据 """ 获取多条表单数据 :param max_retries: 最大重试次数 @@ -69,7 +69,7 @@ class API: return final_data @staticmethod - def workflow_instance_get(data: dict, max_retries: int = 20) -> dict: + def workflow_instance_get(data: dict, max_retries: int = 5) -> dict: """ 查询实例流程信息 :param max_retries: @@ -185,7 +185,7 @@ class API: return None @staticmethod - def entry_data_update(data: dict, max_retries: int = 20) -> dict: # 修改数据 + def entry_data_update(data: dict, max_retries: int = 5) -> dict: # 修改数据 """ 修改数据 :param max_retries: 最大重试次数，此处设置100次 @@ -324,14 +324,10 @@ class BossPermissionAutoApproval: # 在df1中查找匹配的所有功能 matched_functions = df1[df1['权限功能'] == perm_functions] # 假设df1中有'权限功能'列 - # 如果没有匹配项，至少添加权限功能本身 + # 如果没有匹配项，跳过这条记录 if matched_functions.empty: - all_data.append({ - "数据id": data_id, - "门店编码": org_code, - "权限功能": perm_functions, - "一级分类": None # 或者可以设为perm本身 - }) + print(f"跳过：权限功能 '{perm_functions}' 在映射表中找不到匹配") + continue else: # 添加所有匹配的功能 for _, func_row in matched_functions.iterrows(): @@ -424,6 +420,12 @@ class BossPermissionAutoApproval: 'containTest': True, } + # 跳过空门店编码 + if not code or str(code).strip() == "" or pd.isna(code): + print(f"跳过空门店编码") + code_to_company_id[code] = None + continue + try: response = requests.post( 'https://manage.f6yc.com/hive-admin/org/getAllOrgList', @@ -434,8 +436,12 @@ class BossPermissionAutoApproval: ) response.raise_for_status() # 检查请求是否成功 + response_json = response.json() + data = response_json.get("data", {}) + records = data.get("records", []) + # 兼容废弃与停用门店 - if len(response.json().get("data").get("records",[]))==0: + if len(records) == 0: json_data['orgStatus'] = 1 # 停用 response = requests.post( 'https://manage.f6yc.com/hive-admin/org/getAllOrgList', @@ -444,7 +450,11 @@ class BossPermissionAutoApproval: json=json_data, timeout=10 ) - if len(response.json().get("data").get("records",[]))==0: + response_json = response.json() + data = response_json.get("data", {}) + records = data.get("records", []) + + if len(records) == 0: json_data['orgStatus'] = 2 # 废弃 response = requests.post( 'https://manage.f6yc.com/hive-admin/org/getAllOrgList', @@ -453,11 +463,22 @@ class BossPermissionAutoApproval: json=json_data, timeout=10 ) + response_json = response.json() + data = response_json.get("data", {}) + records = data.get("records", []) # 提取company_id并存储到字典 - company_id = response.json()['data']['records'][0]['groupId'] - code_to_company_id[code] = company_id - print(f"成功查询: 门店编码 {code} -> company_id {company_id}") + if len(records) > 0: + company_id = records[0].get('groupId') + if company_id: + code_to_company_id[code] = company_id + print(f"成功查询: 门店编码 {code} -> company_id {company_id}") + else: + print(f"查询结果异常: 门店编码 {code}, groupId为空") + code_to_company_id[code] = None + else: + print(f"查询失败: 门店编码 {code}, 未找到匹配的公司（可能已注销）") + code_to_company_id[code] = None except Exception as e: print(f"查询失败: 门店编码 {code}, 错误: {str(e)}") @@ -583,10 +604,20 @@ class BossPermissionAutoApproval: print(e) def update_permission(self, df): + """优化版：按门店聚合，减少请求频率""" if df is None or df.empty: return pd.DataFrame(columns=["数据id", "门店编码", "一级分类", "二级分类", "权限", "开关", "状态"]) + # 检查 cookies 数据是否存在 + if not self.get_cookies or len(self.get_cookies) == 0: + print("错误：cookies 数据为空") + return pd.DataFrame(columns=["数据id", "门店编码", "一级分类", "二级分类", "权限", "开关", "状态"]) + cookie_str = self.get_cookies[0].get("_widget_1757558743223") + if not cookie_str: + print("错误：cookie 字符串为空") + return pd.DataFrame(columns=["数据id", "门店编码", "一级分类", "二级分类", "权限", "开关", "状态"]) + cookies = {} items = cookie_str.split('; ') for item in items: @@ -607,146 +638,271 @@ class BossPermissionAutoApproval: 'sec-fetch-site': 'same-origin', 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/140.0.0.0 Safari/537.36 Edg/140.0.0.0', 'x-requested-with': 'XMLHttpRequest', - # 'cookie': 'hive-adminSESSIONID=531d2ecb-893b-471c-8cf9-e76a9dcfa789; sensorsdata2015jssdkcross=%7B%22distinct_id%22%3A%224210192048793363%22%2C%22first_id%22%3A%221989d4783646e1-07c9f1a149173e8-4c657b58-2073600-1989d4783651ade%22%2C%22props%22%3A%7B%22%24latest_traffic_source_type%22%3A%22%E7%9B%B4%E6%8E%A5%E6%B5%81%E9%87%8F%22%2C%22%24latest_search_keyword%22%3A%22%E6%9C%AA%E5%8F%96%E5%88%B0%E5%80%BC_%E7%9B%B4%E6%8E%A5%E6%89%93%E5%BC%80%22%2C%22%24latest_referrer%22%3A%22%22%7D%2C%22%24device_id%22%3A%221989d4783646e1-07c9f1a149173e8-4c657b58-2073600-1989d4783651ade%22%7D; _yg_prod=EkX_f7K7eYt61spccZtpCE7FGQAxK5DfP_4PB6A0jCrCT1LYfszIPQQqjcJjPPEZL0J2pO07cfp8VG-4XSfqBfYzvRdjXVIjT2D3fZ7X80GeyA8J24qvVma_W4j__vTE3I3zSTbNFRCPiizeGHdACpZXbli5aTRA; _oauth2_proxy=GdOm_1P1BJAoCcjMngUI40McDBpFqkL2vO_GTniJq-QGX6z9l3MieVkOjJJVJiDbEh5U-j6h3SmxsEjWuaOlfsJyWPx6muVdQOPavFTnd8TCr5-0Hz5xYOQncD1IqIGILgkejOJ3127iUvvu--dYjyqKiDwbtEGCN-Gb21Ik6hkb61C4OBppUra1XbJQ7kOXJnZdlBMe8FiMnlkYVOL8zJ1ZDLIzUcsyzq2s1ACRdVZFT8WU7JLhXKRvoiQSSm6qkCYPsuxGLudtHMeJibtvT8IGNp-jdvv8SF5gzomGhd1Abt_4YfCjiGznNbu421biQI866hEiPTjAZPai0EC-5E0VOi8NmfrBIxaqWx4ecIEGM6Z_8G-4ZWJVBNIv3v9AfUPANYR37yC-w8rOYYv9X2FV0YMkGqFoOKJWBnw4JbdxtdI-8UodAIQGUYVeJGLt6zOWWRNdzKeK57Z8X3Aki0CmLaP0SSUjoGW1pMJayMar94eQpzXszBVQxX_-_buXoDtXYg-u5q5jnQrXX3SLXC8W5JNY_sbDWm2ix7H2ezcxp2gypyyPnFMA5gRneE9wcLAWFtkb_YwT3Q_1KD4rUltqNBBV85KCOR77lxGXMYSEANPvJRW8mC9jg9ARD0JyvA1ZHWefjNU_Y_6RsKSiHrH5Cg5k8QU8skF-KgQrFUKGVfjWfpRfDO6IpR_z2lD-6qfwAshliwrFKyqJi1M91bdZuLR1dXubkgSNVXzyKkgjnGZ-4Ma9K8M3iLQwgBE1DoCRv92C-ie7sI3MmJ58vwu3OllkcOkiz7NjYzv1LKIIKTVEU7wgGe0SGKuEoRO2vRBOZcw_NUUW6s9SbwKleCXdsHkth2EFigiF9E7CGGdyw2G5qO1nx5nKIgEhhqPEBs6yq1uPEcza_BT_J5BauG_ffjpWrRR8TaoMFrmJFPdOf4JDON6FPukb4sbo_uANPG3tSpwNiefTv0E4QV7jNyNNOeGlhLxhcWyN2E6LZTOWH8lnVNUl6oLbSnrkcDGAV9Q76nebHhn5Yf6qJY4S1CceJwFlpIlooiz1bUWzt906c1UUcrFgxEydHMKbmScaG2S_dSjvfB76ZFgozWIGQiiZnd1bt8G7pc2VxMVW-szebBoeUf0HzPpzkej-ILRunt-E9Mpq-3afCOtbda0RfZWqR8cQsAt-cABPIdi4WT5v-Cg_jrjxBb8mueXbWZ5Q4gNPjsVmkfnpW5svBf8bKdChTbNyq_KOm2NV9itI6RSAVkIo6ANUBe9npnCs66v6hSQmmqjqbZ3H4GX1HiyT6VlFpTxT1xDry3tZsTZqw9lzvnT7Tin1lIxArQc0LnlZAoVbbLDJJlbfrXXcIF1kcClfXw5d_Smy_tfGOo5kYE9iTmfMOMh-8ZfhhjA43P4kMgSrYdQAvW1fHFMVQtqtHTmUiCSsKQ78Phh3-ampoI83iJooVzH34Yg21cv5wHpAJAn_wVC_Weto-bol3XXZkDHG0DWmoMGROViNkxc0vKxpMubwiG36E-U-1tQXsyhqqa6VqE_Vnn3fizk9m-ZgozyN-VlS5ALV6djm1wa-ISaLv9juHjQlfA0joY6ZLOxM6mcGsZliw9ZQ-mhiy1C9c3vOuPLW3ZWRCeJUX96BaA-5am-3Z3bjK1mp391cXle3idTEPFlMCKNVUUANNFwxeH0W6CKL4rcRkgiEnhWuBEADySvpfCFuYxojH2uOSfS8mCERpZ7KNEgPCIVs9VumX68w8QonxClCQLWG6JRAmfmCfYKi6UeeWWvsqQDPqQiMkowThSv_TmLgFh5baZsB9bJwFqojc6pOzM3ogHuHuY_67VsA8E_cmeeWvBzqWBV9umeciWq5fbC3Cqe_fAsHxtKb39D2vQyqWVjRk9qukzxBmcd8bXzKUV1r6lg0QgVm2PG8dyfAV_ymsR6Y4b_gtPWcVx83J5H8RgN43ofGXwdUFsqi5xnc_Bf-KO_psGgYImKnqU25ftV8eX0ss0K7jsyhafsWDwPSg2k7qHPNK2AbtLGZIQcRcjXe7efTICAeHOn9AJ4vUbU1UpO53WsY8gic1I7tEH0LKkg7Pz7rR7drDuYkDg200gXiO7y5FXl1dqGa-tilF9IL57hx3UcuM7mLZa5zU0bPprhmCelSA4CwG8la5yGUdpvBqBSz22-X-DgkrwCzLpchi_LnpAkx2_jza2yTO5PtCSjn7hFbvuNFm6Neb_AuRg6-TpolwGfl-Bu3nUySmnCoCH8IvAoA4BpXzFH7o21cAlEHdKAndnoEljtyoyxa6DAZoG5Osttn71tbudyEFh26eOiA-wGAbpHJnsg3Slp35gicLgAepJ8oDFAaqdhtyP7-jizBCCB-Bt29hqvWwH22J30wgoXKnJgjFl6F9L4hxmvRi2QHWKV35ITGA1JqrS0VayT9DIrbTUKoRIKzTme0Z5deBxB8YFmiINAEqdS86PCbQi28-tK2RYuvFJ4O_RWxrMxD1fnDhbPWhnDGiY9dGmDjPgWB70vtIVaikGr_M_Bwm_3oa7ec00eTaSnjmX1qzLCLdvX_Ie6hBFgDii7ZU-KrQndqcbLYU9KtkI2yVwXWMihlLzdxNukzuxnU4IK334Mtebpz6ykLX8e8UfvbHJx4D_JgQQKB7Gfoxb-O02owUY6bvR-tgTp8n9-Mic9osDWeBgmmPHmvyNjcWbi4SXdBSVVIML12iS7qvjHlekG01r_EalttUe000hU1MLqE_Kd1XcINRq0vZaed5m6fXEUVcPchVYN9GC7e36HMo7ZlgE0fGNsWY6pFr-seXI2_23UJW9l_edhMqpvJJh5CAJYMRQ-Rtvzfbe8n|1757554489|NPRgqlI6umo48ScNrekwcxSuAvgFZbVOWWnkmHcAJww=', } result_list = [] - df.to_csv(fr"D:\Idea Project\F6+宜搭+其它(1)\张阳脚本\文件输出\门店含id权限功能映射.csv", index=False) + + print(f"=== update_permission 调试信息 ===") + print(f"原始数据行数: {len(df)}") + print(f"数据列名: {df.columns.tolist()}") + if "开关" not in df.columns: + print("错误：数据中没有'开关'列") return pd.DataFrame(columns=["数据id", "门店编码", "一级分类", "二级分类", "权限", "开关", "状态"]) - df.dropna(subset=['开关'], inplace=True) - for index, row in df.iterrows(): - print(row) - if row["company_id"] is None: - continue - if row["门店编码"] == "空门店编码" or row["门店编码"] is None: - result_list.append( - { + + df_filtered = df.dropna(subset=['开关']).copy() + print(f"过滤空开关后的数据行数: {len(df_filtered)}") + + if len(df_filtered) == 0: + print("警告：过滤后没有数据需要处理") + return pd.DataFrame(columns=["数据id", "门店编码", "一级分类", "二级分类", "权限", "开关", "状态"]) + + # ========== 核心优化：按company_id聚合 ========== + # 过滤掉company_id为空的行 + df_valid = df_filtered[df_filtered['company_id'].notna()].copy() + + if len(df_valid) == 0: + print("没有有效的company_id，跳过所有处理") + return pd.DataFrame(columns=["数据id", "门店编码", "一级分类", "二级分类", "权限", "开关", "状态"]) + + # 按 company_id 分组 + grouped = df_valid.groupby('company_id') + + print(f"开始处理 {len(grouped)} 个门店的权限...") + + for company_id, group in grouped: + print(f"\n===== 处理门店 company_id: {company_id}，共 {len(group)} 条权限 =====") + + # 1. 获取当前门店的菜单状态（只请求一次） + params = {'groupId': company_id} + + try: + response = requests.get( + 'https://manage.f6yc.com/hive-admin/company/role/getGroupAdminRoleMenusScope', + params=params, + cookies=cookies, + headers=headers, + timeout=10 + ) + + if response.status_code != 200: + print(f"错误：获取菜单状态失败，状态码: {response.status_code}") + # 该门店所有权限都标记为失败 + for _, row in group.iterrows(): + result_list.append({ + "数据id": row["数据id"], + "门店编码": row["门店编码"], + "一级分类": row["一级分类"], + "二级分类": row["二级分类"], + "权限": row["权限"], + "开关": row["开关"], + "状态": f"获取菜单状态失败 {response.status_code}", + }) + continue # 跳过这个门店，处理下一个 + + response_json = response.json() + data = response_json.get("data") + if not data: + # 可能是cookie过期，发送预警 + payload = { + "api_key": "6694d3c4fcb69ca9a111a6c4", + "entry_id": "68cb745753594c2570ba4f70", + "data": { + "_widget_1758164058473": {"value": "Boss权限自动审批"}, + "_widget_1758164058474": {"value": f"cookies信息失效,请更新cookie"} + }, + "is_start_workflow": "true" + } + API().data_batch_create(payload) + + # 标记所有行为cookie失效 + for _, row in group.iterrows(): + result_list.append({ + "数据id": row["数据id"], + "门店编码": row["门店编码"], + "一级分类": row["一级分类"], + "二级分类": row["二级分类"], + "权限": row["权限"], + "开关": row["开关"], + "状态": "cookies失效", + }) + continue + + menus_list = data.get("menus", []) + print(f"菜单项数: {len(menus_list)}") + + except Exception as e: + print(f"获取菜单状态异常: {str(e)}") + for _, row in group.iterrows(): + result_list.append({ "数据id": row["数据id"], "门店编码": row["门店编码"], "一级分类": row["一级分类"], "二级分类": row["二级分类"], "权限": row["权限"], "开关": row["开关"], - "状态": "空门店编码跳过执行", - } - ) + "状态": f"获取菜单异常: {str(e)}", + }) continue - if row["一级分类"] is not None: - params = { - 'groupId': row["company_id"], - } - response = requests.get( - 'https://manage.f6yc.com/hive-admin/company/role/getGroupAdminRoleMenusScope', - params=params, - cookies=cookies, - headers=headers, - ) - # print(response.json()) - if response.status_code == 200: - pkId = response.json().get("data").get("role").get("id") - user_name = response.json().get("data").get("role").get("name") - menus_list = response.json().get("data").get("menus") - for menu in menus_list: - if menu.get("name") == row["一级分类"]: - nodes_list = menu.get("nodes") - if row["开关"] == "开": # 确保一级权限为开 - menu["isChecked"] = 1 + # 2. 在同一个menus_list上应用该门店的所有权限变更 + has_modification = False # 标记是否有实际修改 - for node in nodes_list: - if node.get("name") == row["二级分类"]: - child_nodes_list = node.get("nodes", []) - print(row["二级分类"], row["权限"], row["开关"]) - if row["开关"] == "开": # 确保二级权限为开 + for _, row in group.iterrows(): + print(f" 应用权限: {row['一级分类']} > {row['二级分类']} > {row['权限']} = {row['开关']}") + + if row['一级分类'] is None: + continue + + for menu in menus_list: + if menu.get("name") == row["一级分类"]: + # 处理一级分类 + if row["开关"] == "开": + menu["isChecked"] = 1 + has_modification = True + print(f" 开启一级分类: {row['一级分类']}") + + for node in menu.get("nodes", []): + if node.get("name") == row["二级分类"]: + # 处理二级分类 + if row["开关"] == "开": + if node.get("isChecked") != 1: node["isChecked"] = 1 + has_modification = True + print(f" 开启二级分类: {row['二级分类']}") - if row["权限"] != "无": - # 处理有三级权限的情况 - for child_node in child_nodes_list: - if child_node.get("name") == row["权限"]: - if row["开关"] == "开": - print("更新权限:", child_node["id"], "为开") - child_node["isChecked"] = 1 - else: - child_node["isChecked"] = 0 - break # 找到对应的权限后跳出循环 - else: - print(row["二级分类"], row["权限"], row["开关"], 11111111111) - # 处理只有二级权限的情况 - if row["开关"] == "开": - node["isChecked"] = 1 - else: - node["isChecked"] = 0 - # 同时更新所有子节点的状态 - for child_node in child_nodes_list: - child_node["isChecked"] = node["isChecked"] + if row["权限"] != "无": + # 处理三级权限 + for child_node in node.get("nodes", []): + if child_node.get("name") == row["权限"]: + new_value = 1 if row["开关"] == "开" else 0 + if child_node.get("isChecked") != new_value: + child_node["isChecked"] = new_value + has_modification = True + print(f" {'开启' if new_value else '关闭'}三级权限: {row['权限']}") + break + else: + # 无三级权限时，统一设置二级及子节点 + new_value = 1 if row["开关"] == "开" else 0 + if node.get("isChecked") != new_value: + node["isChecked"] = new_value + has_modification = True + for child_node in node.get("nodes", []): + if child_node.get("isChecked") != new_value: + child_node["isChecked"] = new_value + has_modification = True + break # 找到匹配的二级分类后跳出 + break # 找到匹配的一级分类后跳出 - # 查询isChecked为1的id - checked_ids = [] + # 3. 如果没有实际修改，直接标记该门店所有权限为成功 + if not has_modification: + print(f" 门店 {company_id} 无实际权限变更，跳过更新请求") + for _, row in group.iterrows(): + result_list.append({ + "数据id": row["数据id"], + "门店编码": row["门店编码"], + "一级分类": row["一级分类"], + "二级分类": row["二级分类"], + "权限": row["权限"], + "开关": row["开关"], + "状态": "无需更新（权限已生效）", + }) + continue - def collect_checked_ids(items): - for item in items: - if item.get("isChecked") == 1: - checked_ids.append(str(item.get("id"))) - if "nodes" in item: - collect_checked_ids(item["nodes"]) + # 4. 收集所有选中ID并发送更新请求（只发送一次） + checked_ids = [] - collect_checked_ids(menus_list) + def collect_checked_ids(items): + for item in items: + if item.get("isChecked") == 1: + checked_ids.append(str(item.get("id"))) + if "nodes" in item: + collect_checked_ids(item["nodes"]) - checked_ids_str = ",".join(checked_ids) - print(f"更新后选中项的ID: {checked_ids_str}") + collect_checked_ids(menus_list) + checked_ids_str = ",".join(checked_ids) + print(f" 选中ID数量: {len(checked_ids)}") - new_json_data = { - "pkId": pkId, - "name": user_name, - 'isValid': 1, - "menuStr": checked_ids_str, - } + # 5. 发送POST更新请求 + role = data.get("role", {}) + pk_id = role.get("id") + user_name = role.get("name") + if not pk_id or not user_name: + print(f" 错误：无法获取pkId或user_name") + for _, row in group.iterrows(): + result_list.append({ + "数据id": row["数据id"], + "门店编码": row["门店编码"], + "一级分类": row["一级分类"], + "二级分类": row["二级分类"], + "权限": row["权限"], + "开关": row["开关"], + "状态": "响应数据异常", + }) + continue + + new_json_data = { + "pkId": pk_id, + "name": user_name, + 'isValid': 1, + "menuStr": checked_ids_str, + } + + # 添加重试机制 + max_retries = 3 + update_success = False + update_error_msg = "" + + for retry in range(max_retries): + try: response = requests.post( 'https://manage.f6yc.com/hive-admin/company/role/update', cookies=cookies, headers=headers, json=new_json_data, + timeout=30 # 增加超时时间，因为参数可能很长 ) - time.sleep(0.5) - print(f"请求结果:{response.json()}") - if response.json().get("code", 1000) == 200: - result_list.append( - { - "数据id": row["数据id"], - "门店编码": row["门店编码"], - "一级分类": row["一级分类"], - "二级分类": row["二级分类"], - "权限": row["权限"], - "开关": row["开关"], - "状态": "更新成功", - } - ) + result = response.json() + print(f" 更新请求结果 (重试{retry + 1}/{max_retries}): {result}") + + if result.get("code") == 200: + update_success = True + break + elif result.get("code") == 500: + update_error_msg = f"服务器内部错误 (500)" + if retry < max_retries - 1: + wait_time = (retry + 1) * 2 # 递增等待时间：2s, 4s, 6s + print(f" 500错误，{wait_time}秒后重试...") + time.sleep(wait_time) else: - result_list.append( - { - "数据id": row["数据id"], - "门店编码": row["门店编码"], - "一级分类": row["一级分类"], - "二级分类": row["二级分类"], - "权限": row["权限"], - "开关": row["开关"], - "状态": "更新失败", - } - ) - else: - payload = { - "api_key": "6694d3c4fcb69ca9a111a6c4", - "entry_id": "68cb745753594c2570ba4f70", - "data": {"_widget_1758164058473": {"value": "Boss权限自动审批"}, # 预警类型 - "_widget_1758164058474": {"value": f"cookies信息失效,请更新cookie"} - # 预警内容 - }, - "is_start_workflow": "true" - } - res = API().data_batch_create(payload) + update_error_msg = f"更新失败 code={result.get('code')}: {result.get('message')}" + break + + except Exception as e: + update_error_msg = f"更新异常: {str(e)}" + if retry < max_retries - 1: + wait_time = (retry + 1) * 2 + print(f" 请求异常，{wait_time}秒后重试...") + time.sleep(wait_time) + + # 6. 记录该门店所有权限的结果 + status = "更新成功" if update_success else f"更新失败: {update_error_msg}" + + for _, row in group.iterrows(): + result_list.append({ + "数据id": row["数据id"], + "门店编码": row["门店编码"], + "一级分类": row["一级分类"], + "二级分类": row["二级分类"], + "权限": row["权限"], + "开关": row["开关"], + "状态": status, + }) + + # 7. 门店之间添加延时，避免请求过快 + time.sleep(1) + result_df = pd.DataFrame(result_list) return result_df diff --git a/张阳脚本/工具/emoji严格处理.ipynb b/张阳脚本/工具/emoji严格处理.ipynb index 60dc779..eb2a805 100644 --- a/张阳脚本/工具/emoji严格处理.ipynb +++ b/张阳脚本/工具/emoji严格处理.ipynb @@ -6,8 +6,8 @@ "metadata": { "collapsed": true, "ExecuteTime": { - "end_time": "2026-01-29T03:44:29.227796600Z", - "start_time": "2026-01-29T03:44:28.870218900Z" + "end_time": "2026-04-22T07:31:42.910929700Z", + "start_time": "2026-04-22T07:31:37.243473300Z" } }, "source": [ @@ -37,8 +37,8 @@ "\n", "# 示例：读取 Excel 文件\n", "def process_excel_file(file_path):\n", - " df = pd.read_excel(file_path, engine='openpyxl') # 支持 .xlsx\n", - " # df = pd.read_excel(file_path, engine='xlrd') # 支持 .xlsx\n", + " # df = pd.read_excel(file_path, engine='openpyxl') # 支持 .xlsx\n", + " df = pd.read_excel(file_path, engine='xlrd') # 支持 .xlsx\n", " print(\"原始数据：\")\n", " print(df.head())\n", "\n", @@ -68,40 +68,81 @@ " print(\"\\n已保存清洗后的文件：cleaned_output.csv\")\n", " return df_cleaned\n", "\n", - "file_path = fr\"C:\\Users\\hp_z66\\Desktop\\钉钉文件\\储值卡信息匹配后文件.xlsx\"\n", + "file_path = fr\"C:\\Users\\hp_z66\\OneDrive\\Desktop\\钉钉文件\\客户车辆信息老六_可导入.xls\"\n", "process_excel_file(file_path)" ], "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "原始数据：\n", + " 客户姓名 性别 车牌号 手机号码 标签 VIN码 车身颜色 备注 车辆所有人 发动机号 \\\n", + "0 1 NaN 豫S38065 13174646666 NaN NaN NaN NaN NaN NaN \n", + "1 先生 NaN 黑A92RS8 15004617481 NaN LMGAA1C51F1096393 NaN NaN NaN NaN \n", + "2 先生 NaN 黑F05145 15244670275 NaN LSJW56761KG020310 NaN NaN NaN NaN \n", + "3 先生 NaN 黑AV101M 18904650318 NaN LFV3A23C6G3051709 NaN NaN NaN NaN \n", + "4 1 NaN 黑A1G3U7 13069966234 NaN NaN NaN NaN NaN NaN \n", + "\n", + " ... 会员号 可用积分 累计获取积分 专属门店 专属顾问 客户推广员工 注册日期 发证日期 车辆来源 车辆推广员工 \n", + "0 ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "1 ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "2 ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "3 ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "4 ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "\n", + "[5 rows x 37 columns]\n", + "\n", + "清洗后数据（已移除 4 字节字符）：\n", + " 客户姓名 性别 车牌号 手机号码 标签 VIN码 车身颜色 备注 车辆所有人 发动机号 \\\n", + "0 1 NaN 豫S38065 13174646666 NaN NaN NaN NaN NaN NaN \n", + "1 先生 NaN 黑A92RS8 15004617481 NaN LMGAA1C51F1096393 NaN NaN NaN NaN \n", + "2 先生 NaN 黑F05145 15244670275 NaN LSJW56761KG020310 NaN NaN NaN NaN \n", + "3 先生 NaN 黑AV101M 18904650318 NaN LFV3A23C6G3051709 NaN NaN NaN NaN \n", + "4 1 NaN 黑A1G3U7 13069966234 NaN NaN NaN NaN NaN NaN \n", + "\n", + " ... 会员号 可用积分 累计获取积分 专属门店 专属顾问 客户推广员工 注册日期 发证日期 车辆来源 车辆推广员工 \n", + "0 ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "1 ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "2 ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "3 ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "4 ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "\n", + "[5 rows x 37 columns]\n", + "\n", + "已保存清洗后的文件：cleaned_output.xlsx\n" + ] + }, { "data": { "text/plain": [ - " 卡名称 关联模板ID 持卡人姓名 持卡人手机号 绑定车牌号 卡号 可用门店 \\\n", - "0 储值卡 12147360560970768475 刘斌 18299152198 新A9KW77 18299152198 全部 \n", - "1 储值卡 12147360560970768475 张怀彬 13319992628 新F54991 8883939 全部 \n", - "2 储值卡 12147360560970768475 刘君君 15292780801 新F1861P 8883933 全部 \n", - "3 储值卡 12147360560970768475 热那提 18699990750 新FD2D08 18699990750 全部 \n", - "4 储值卡 12147360560970768475 安斌 13779519897 新F9010Q 13779519897 全部 \n", - ".. ... ... ... ... ... ... ... \n", - "721 储值卡 12147360560970768475 陈轲 13095118455 新A125YK 9990223 全部 \n", - "722 储值卡 12147360560970768475 姜海南 18999586345 新F7V551 9990232 全部 \n", - "723 储值卡 12147360560970768475 买力侧 13679950078 新F16J72 13679950078 全部 \n", - "724 储值卡 12147360560970768475 王子煜 15109991005 新FF32122 8883965 全部 \n", - "725 储值卡 12147360560970768475 贵小军 18999588628 新F6616L 8889762 全部 \n", + " 客户姓名 性别 车牌号 手机号码 标签 VIN码 车身颜色 备注 车辆所有人 \\\n", + "0 1 NaN 豫S38065 13174646666 NaN NaN NaN NaN NaN \n", + "1 先生 NaN 黑A92RS8 15004617481 NaN LMGAA1C51F1096393 NaN NaN NaN \n", + "2 先生 NaN 黑F05145 15244670275 NaN LSJW56761KG020310 NaN NaN NaN \n", + "3 先生 NaN 黑AV101M 18904650318 NaN LFV3A23C6G3051709 NaN NaN NaN \n", + "4 1 NaN 黑A1G3U7 13069966234 NaN NaN NaN NaN NaN \n", + "... ... .. ... ... .. ... ... .. ... \n", + "9917 陈双 NaN 黑AQ293H 13019712562 NaN LSYBCAAA4CW070101 NaN NaN NaN \n", + "9918 奇瑞 NaN 黑AG21X5 18346069680 NaN LS5A3DBE5GA136962 NaN NaN NaN \n", + "9919 奇瑞 NaN 黑A8DC02 18346069680 NaN LVVDA11A3AD070555 NaN NaN NaN \n", + "9920 戴洪太 NaN 黑A579B1 18346262816 NaN LSVGX46R7E2049499 NaN NaN NaN \n", + "9921 高先生 NaN 黑AH2R02 13796072678 NaN LGBP12E04CY105879 NaN NaN NaN \n", "\n", - " 卡有效期 剩余面额 剩余实额 服务顾问 售卡门店 售卡日期 卡说明 使用条款 \n", - "0 2025-03-24 200.0 200.0 NaN 伊宁车友 2024-03-24 NaN NaN \n", - "1 2025-02-12 10.0 10.0 NaN 伊宁车友 2021-05-07 NaN NaN \n", - "2 2024-05-09 260.0 260.0 NaN 伊宁车友 2021-03-28 NaN NaN \n", - "3 2026-01-25 500.0 500.0 NaN 伊宁车友 2021-01-25 NaN NaN \n", - "4 2025-12-31 29.8 29.8 NaN 伊宁车友 2020-12-30 NaN NaN \n", - ".. ... ... ... ... ... ... ... ... \n", - "721 2026-03-06 334.0 334.0 NaN 伊宁车友 2017-10-29 NaN NaN \n", - "722 2026-07-17 430.0 430.0 NaN 伊宁车友 2017-04-09 NaN NaN \n", - "723 2027-12-14 200.0 0.0 NaN 伊宁车友 2022-12-14 NaN NaN \n", - "724 2027-07-02 1000.0 0.0 NaN 伊宁车友 2022-07-02 NaN NaN \n", - "725 2026-11-24 230.0 0.0 NaN 伊宁车友 2021-05-22 NaN NaN \n", + " 发动机号 ... 会员号 可用积分 累计获取积分 专属门店 专属顾问 客户推广员工 注册日期 发证日期 车辆来源 车辆推广员工 \n", + "0 NaN ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "1 NaN ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "2 NaN ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "3 NaN ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "4 NaN ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "... ... ... .. ... ... ... ... ... ... ... ... ... \n", + "9917 NaN ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "9918 NaN ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "9919 NaN ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "9920 NaN ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", + "9921 NaN ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN \n", "\n", - "[726 rows x 15 columns]" + "[9922 rows x 37 columns]" ], "text/html": [ "
\n", @@ -122,111 +163,147 @@ " \n", " \n", " \n", - " 卡名称\n", - " 关联模板ID\n", - " 持卡人姓名\n", - " 持卡人手机号\n", - " 绑定车牌号\n", - " 卡号\n", - " 可用门店\n", - " 卡有效期\n", - " 剩余面额\n", - " 剩余实额\n", - " 服务顾问\n", - " 售卡门店\n", - " 售卡日期\n", - " 卡说明\n", - " 使用条款\n", + " 客户姓名\n", + " 性别\n", + " 车牌号\n", + " 手机号码\n", + " 标签\n", + " VIN码\n", + " 车身颜色\n", + " 备注\n", + " 车辆所有人\n", + " 发动机号\n", + " ...\n", + " 会员号\n", + " 可用积分\n", + " 累计获取积分\n", + " 专属门店\n", + " 专属顾问\n", + " 客户推广员工\n", + " 注册日期\n", + " 发证日期\n", + " 车辆来源\n", + " 车辆推广员工\n", " \n", " \n", " \n", " \n", " 0\n", - " 储值卡\n", - " 12147360560970768475\n", - " 刘斌\n", - " 18299152198\n", - " 新A9KW77\n", - " 18299152198\n", - " 全部\n", - " 2025-03-24\n", - " 200.0\n", - " 200.0\n", + " 1\n", + " NaN\n", + " 豫S38065\n", + " 13174646666\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " ...\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " NaN\n", - " 伊宁车友\n", - " 2024-03-24\n", " NaN\n", " NaN\n", " \n", " \n", " 1\n", - " 储值卡\n", - " 12147360560970768475\n", - " 张怀彬\n", - " 13319992628\n", - " 新F54991\n", - " 8883939\n", - " 全部\n", - " 2025-02-12\n", - " 10.0\n", - " 10.0\n", + " 先生\n", + " NaN\n", + " 黑A92RS8\n", + " 15004617481\n", + " NaN\n", + " LMGAA1C51F1096393\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " ...\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " NaN\n", - " 伊宁车友\n", - " 2021-05-07\n", " NaN\n", " NaN\n", " \n", " \n", " 2\n", - " 储值卡\n", - " 12147360560970768475\n", - " 刘君君\n", - " 15292780801\n", - " 新F1861P\n", - " 8883933\n", - " 全部\n", - " 2024-05-09\n", - " 260.0\n", - " 260.0\n", + " 先生\n", + " NaN\n", + " 黑F05145\n", + " 15244670275\n", + " NaN\n", + " LSJW56761KG020310\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " ...\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " NaN\n", - " 伊宁车友\n", - " 2021-03-28\n", " NaN\n", " NaN\n", " \n", " \n", " 3\n", - " 储值卡\n", - " 12147360560970768475\n", - " 热那提\n", - " 18699990750\n", - " 新FD2D08\n", - " 18699990750\n", - " 全部\n", - " 2026-01-25\n", - " 500.0\n", - " 500.0\n", + " 先生\n", + " NaN\n", + " 黑AV101M\n", + " 18904650318\n", + " NaN\n", + " LFV3A23C6G3051709\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " ...\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " NaN\n", - " 伊宁车友\n", - " 2021-01-25\n", " NaN\n", " NaN\n", " \n", " \n", " 4\n", - " 储值卡\n", - " 12147360560970768475\n", - " 安斌\n", - " 13779519897\n", - " 新F9010Q\n", - " 13779519897\n", - " 全部\n", - " 2025-12-31\n", - " 29.8\n", - " 29.8\n", + " 1\n", + " NaN\n", + " 黑A1G3U7\n", + " 13069966234\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " ...\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " NaN\n", - " 伊宁车友\n", - " 2020-12-30\n", " NaN\n", " NaN\n", " \n", @@ -247,128 +324,164 @@ " ...\n", " ...\n", " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", " \n", " \n", - " 721\n", - " 储值卡\n", - " 12147360560970768475\n", - " 陈轲\n", - " 13095118455\n", - " 新A125YK\n", - " 9990223\n", - " 全部\n", - " 2026-03-06\n", - " 334.0\n", - " 334.0\n", + " 9917\n", + " 陈双\n", + " NaN\n", + " 黑AQ293H\n", + " 13019712562\n", + " NaN\n", + " LSYBCAAA4CW070101\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " ...\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " NaN\n", - " 伊宁车友\n", - " 2017-10-29\n", " NaN\n", " NaN\n", " \n", " \n", - " 722\n", - " 储值卡\n", - " 12147360560970768475\n", - " 姜海南\n", - " 18999586345\n", - " 新F7V551\n", - " 9990232\n", - " 全部\n", - " 2026-07-17\n", - " 430.0\n", - " 430.0\n", + " 9918\n", + " 奇瑞\n", + " NaN\n", + " 黑AG21X5\n", + " 18346069680\n", + " NaN\n", + " LS5A3DBE5GA136962\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " ...\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " NaN\n", - " 伊宁车友\n", - " 2017-04-09\n", " NaN\n", " NaN\n", " \n", " \n", - " 723\n", - " 储值卡\n", - " 12147360560970768475\n", - " 买力侧\n", - " 13679950078\n", - " 新F16J72\n", - " 13679950078\n", - " 全部\n", - " 2027-12-14\n", - " 200.0\n", - " 0.0\n", + " 9919\n", + " 奇瑞\n", + " NaN\n", + " 黑A8DC02\n", + " 18346069680\n", + " NaN\n", + " LVVDA11A3AD070555\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " ...\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " NaN\n", - " 伊宁车友\n", - " 2022-12-14\n", " NaN\n", " NaN\n", " \n", " \n", - " 724\n", - " 储值卡\n", - " 12147360560970768475\n", - " 王子煜\n", - " 15109991005\n", - " 新FF32122\n", - " 8883965\n", - " 全部\n", - " 2027-07-02\n", - " 1000.0\n", - " 0.0\n", + " 9920\n", + " 戴洪太\n", + " NaN\n", + " 黑A579B1\n", + " 18346262816\n", + " NaN\n", + " LSVGX46R7E2049499\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " ...\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " NaN\n", - " 伊宁车友\n", - " 2022-07-02\n", " NaN\n", " NaN\n", " \n", " \n", - " 725\n", - " 储值卡\n", - " 12147360560970768475\n", - " 贵小军\n", - " 18999588628\n", - " 新F6616L\n", - " 8889762\n", - " 全部\n", - " 2026-11-24\n", - " 230.0\n", - " 0.0\n", + " 9921\n", + " 高先生\n", + " NaN\n", + " 黑AH2R02\n", + " 13796072678\n", + " NaN\n", + " LGBP12E04CY105879\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " ...\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " NaN\n", - " 伊宁车友\n", - " 2021-05-22\n", " NaN\n", " NaN\n", " \n", " \n", "\n", - "

726 rows × 15 columns

\n", + "

9922 rows × 37 columns

\n", "
" ] }, - "execution_count": 7, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], - "execution_count": 7 + "execution_count": 2 } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "F6+宜搭+其它", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", - "version": 2 + "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.6" + "pygments_lexer": "ipython3", + "version": "3.13.11" } }, "nbformat": 4, diff --git a/张阳脚本/竞品系统数据导出/快修哥脚本.ipynb b/张阳脚本/竞品系统数据导出/快修哥脚本.ipynb index 98b9526..6fdceb1 100644 --- a/张阳脚本/竞品系统数据导出/快修哥脚本.ipynb +++ b/张阳脚本/竞品系统数据导出/快修哥脚本.ipynb @@ -6,8 +6,8 @@ "metadata": { "collapsed": true, "ExecuteTime": { - "end_time": "2025-02-12T02:49:48.709390Z", - "start_time": "2025-02-12T02:47:15.921630Z" + "end_time": "2026-04-27T01:30:44.563487Z", + "start_time": "2026-04-27T01:27:52.161545800Z" } }, "source": [ @@ -23,22 +23,20 @@ "table = []\n", "now_time = time.time()\n", "headers = {\n", - " \"Accept\": \"text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7\",\n", - " \"Accept-Encoding\": \"gzip, deflate\",\n", - " \"Accept-Language\": \"zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6\",\n", - " \"Cache-Control\": \"max-age=0\",\n", - " \"Connection\": \"keep-alive\",\n", - " \"Content-Length\": \"11300\", # 注意：实际使用时需要根据具体请求体长度调整\n", - " \"Content-Type\": \"application/x-www-form-urlencoded\",\n", - " \"Cookie\": f\"ASP.NET_SessionId=aw4ajyrucsewefwug25vnpfk; Hm_lvt_ab3baaa579f771d051a6b0baad5a8cfe=1739159639; HMACCOUNT=ABFCA62083E00432; td_cookie=630612599; iswatchme=0; setaddat=0; hksdms=username2=admin&truename2=%e8%94%a1%e8%8e%89&id=7804&wxusername2=7804&zb=false&qx=111-11111111111-11111111111111-0-1111-11111111111111-111111111-1111111111-1111111111111-1111-0-0-0-0-0-0-0-0-0-0&login=1&actname=%e7%ae%a1%e7%90%86%e5%91%98&act=%e7%ae%a1%e7%90%86%e5%91%98&username=admin&truename=%e8%94%a1%e8%8e%89&userid=16489&valid=True&wxusername=7804&uniqueKey=7a6b7018-b9e0-40ea-a99f-714205c526e6&timeunitprice=0.00&allowquickout=True&telqx=1&tel=13688013403&StoreName=%e6%88%90%e9%83%bd%e9%80%9a%e9%80%94%e4%bd%b3%e5%ae%87%e6%b1%bd%e8%bd%a6%e7%bb%b4%e4%bf%ae%e6%9c%8d%e5%8a%a1%e6%9c%89%e9%99%90%e8%b4%a3%e4%bb%bb%e5%85%ac%e5%8f%b8%e6%96%b0%e9%83%bd%e5%88%86%e5%85%ac%e5%8f%b8&attestationTel=19982143399&StoreName2=%e6%88%90%e9%83%bd%e9%80%9a%e9%80%94%e4%bd%b3%e5%ae%87%e6%b1%bd%e8%bd%a6%e7%bb%b4%e4%bf%ae%e6%9c%8d%e5%8a%a1%e6%9c%89%e9%99%90%e8%b4%a3%e4%bb%bb%e5%85%ac%e5%8f%b8%e6%96%b0%e9%83%bd%e5%88%86%e5%85%ac%e5%8f%b8&vipid=SAAS7804&zonecode=1007&zone=%e5%9b%9b%e5%b7%9d&CustomerID=11717&IsInitialized=1&ScrmModuleValidTime=&isScrmModule=False&isBasicModule=True&isTechnologyModule=True&isPartsManageModule=True&isBusinessImprovementModule=False;Hm_lpvt_ab3baaa579f771d051a6b0baad5a8cfe={now_time}\",\n", - " \"Host\": \"www.kuaixiuge.com\",\n", - " \"Origin\": \"http://www.kuaixiuge.com\",\n", - " \"Referer\": \"http://www.kuaixiuge.com/carinfo.aspx?clientWidth=1275\",\n", - " \"Upgrade-Insecure-Requests\": \"1\",\n", - " \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/132.0.0.0 Safari/537.36 Edg/132.0.0.0\"\n", + " 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',\n", + " 'Accept-Language': 'zh-CN,zh;q=0.9',\n", + " 'Cache-Control': 'max-age=0',\n", + " 'Connection': 'keep-alive',\n", + " 'Content-Type': 'application/x-www-form-urlencoded',\n", + " 'Origin': 'http://www.kuaixiuge.com',\n", + " 'Referer': 'http://www.kuaixiuge.com/carinfo.aspx?clientWidth=1920',\n", + " 'Upgrade-Insecure-Requests': '1',\n", + " 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/147.0.0.0 Safari/537.36',\n", + " 'Cookie': 'ASP.NET_SessionId=ciw1fuls0atkqaj4gkxhzngy; Hm_lvt_ab3baaa579f771d051a6b0baad5a8cfe=1777102209; HMACCOUNT=0838F6FCCBE848D9; td_cookie=4195838249; iswatchme=0; setaddat=0; hksdms=username2=admin&truename2=%e6%9d%8e%e7%9b%9b%e4%bc%9f&id=25375&wxusername2=&zb=false&qx=111-11111111111-11111111111111-0-1111-11111111111111-111111111-1111111111-1111111111111-1111-0-0-0-0-0-0-0-0-0-0&login=1&actname=%e7%ae%a1%e7%90%86%e5%91%98&act=%e7%ae%a1%e7%90%86%e5%91%98&username=admin&truename=%e6%9d%8e%e7%9b%9b%e4%bc%9f&userid=32483&valid=True&wxusername=&uniqueKey=a50d175d-b2df-46e6-b055-6a048d88c720&timeunitprice=0.00&allowquickout=True&telqx=1&tel=18753499929&StoreName=%e5%be%b7%e5%b7%9e%e5%b8%82%e5%be%b7%e5%9f%8e%e5%8c%ba%e7%9b%9b%e4%bc%9f%e6%b1%bd%e4%bf%ae%e9%97%a8%e5%b8%82%e9%83%a8&attestationTel=18753499929&StoreName2=%e5%be%b7%e5%b7%9e%e5%b8%82%e5%be%b7%e5%9f%8e%e5%8c%ba%e7%9b%9b%e4%bc%9f%e6%b1%bd%e4%bf%ae%e9%97%a8%e5%b8%82%e9%83%a8&vipid=SAAS25375&zonecode=1003&zone=%e5%b1%b1%e4%b8%9c&CustomerID=165423&IsInitialized=1&ScrmModuleValidTime=&isScrmModule=False&isBasicModule=True&isTechnologyModule=True&isPartsManageModule=True&isBusinessImprovementModule=False; SERVERID=000e421eb0ab0efb9790874bd5c8f758|1777252987|1777252342; Hm_lpvt_ab3baaa579f771d051a6b0baad5a8cfe=1777252993',\n", "}\n", + "\n", "# for i in tqdm(range(1, 660)):\n", - "data = f'__EVENTTARGET=&__EVENTARGUMENT=&__VIEWSTATE=0RqO1C3t5nX0e9YrzDzO7NPg5cUxKhQCLnFF5ezdD4GGT67W34UPgeTe6YxB7GQSnSe8Fe8RFv0mH4ARUpoCa903u1ofnzqGEqFRCseTy2Sde0ulgO0kpoTIaSh2JZSeKROK1KnY2uXK8GLM6APoHyIEp8JMdvznzzYT4PJXwwlx%2BqM4oQcCBh3K7axS7RaKo0xLxA%2FCF9h6eUawoItYKiiZiQw3cNtRII8QGcv12%2BB6lZqmuF1MExXvXNuX%2B4HwwSHaIpY%2BLE9RoOTtWSzO3yBlSjnWjiVDYEcY%2BwPVhQyA5ANUxCGQi9RfkGM0ogsW%2BryaSxr0QIl1bEa1s26a%2F2ktR7yzk3BGiGTFmnNdKaZPDbi0I63ExO0YbMoDVhR3z91vW51Z3KqC4PvHVK1hAmwirfqMhTNkrW0oZ82D0BMu3FR6WVaUK6yiL%2BVAsUPx7vjcIOzrTjfITd4DSE6LYu68Af1ph9qPFmihBQUm1BgUB9ZHNpn8PHzd2Gq1CyPK%2BIkfn7u3p1JLDMzKeM2S1LqpoZaF5cPRPvN1E4la%2FBjgU31%2BnSF1Jo12laDJNnqV4%2BIr8s5nD2MDtY7swECIERaG2B5HFzTPZ3CjCkLbrqxRZomHZ%2FoH%2B8KjVHUmun9cvPF1MXskja4PFDxUHN0FjGl6Fi6Pu9c6jsjqYwKUAf1l38UvlTYvtiLaJZMQPCzOoivemX38JWEFRc63W0fhQznpBuWIbnihdC7MuA9WYfB4ag9Rs4KM3jt4B8Y81P9ojDertsGns9xxcxS6cKtb6YIL1vbnhKBTFGcinLZBH5CAE7eICumyyGfUNT%2F%2Fwd7bYJN%2BHX7Yvjsdo392Cw4GyHKnlN9n0dlN02uyZ8jeg8mkJ9RYe1IbCE4PFw9HZ6lw8iiErQ3%2B65PoPT%2FFLCAXhwY41FFR67s8UzU9IXI3liU2ROG1bkdd1KnDIBBnB%2B5GHYgLgQpqmnoEOX7VIjIvDaW0tQCAgD3JDDKkiBv7TgpzFhlQ7TlOoYHSI9NMK7lvYK%2BNqB5FU27w1eQtPKY%2ByIbKuTgEbYxhQ8zaJY2KwiJPSqwEPcxzzgik33w89MbOFaEMeoWS%2BFGvs6CWy0BUE%2F%2F%2FvJPkRdthybd8t5Gl1UPexrOZNzRCDmffo6XTeT9jH0DYXYAuDTzyYHwDZNXCEHnhbQ73MYkfykCjPag0%2FV9Y9R64RUXCGJA1D4qliLm453XUb0Mnu12o14kGXZH%2B2LvkD64dNAgkUWIzCAnFJWxLF%2FOV3LeD5fNLHUhdh8Z0CdfA9JBfbwo9p%2BTBXQzWhH9yuwFmycVDUtcAUOfPyoCfjRfMUD8L%2FqZjlslMNjurMZ%2BaziczGhiax2AqivJHpaAnUE9LIihjkpW7dkgpLv5qkLI3IqefanlEn3JfbRfppf4i4506AGB4EcnoWbk6Rff2Ay73UtX95AERIwQE6JSsQd5NkxLBgAvpRNPIPfFEgYQouaaa5Efx%2Bpq%2BAR6U%2BPoJGfA2hvE2omMTvUE4xjHLt5N4JNrwfwUIS8RBD7QIzXQu4ZmmEPjG3GqHKnasGJswD2btInZ%2Bd8l46VDCXYcYHZST%2BB3kQi2HmGKcoRWp3TaBMPLHbhpcLifOnDOTaGtzHDoQjnNz1rjc0AzG7jnXoVmflX0EX1SdwD3irURNEFt1oxuv3%2BOYBZNtKvwlzzXXNMoE5Gn2%2ByRSFLlImnNNgwWgVvmIwQhJMPgeiJiEpJxlKwd7zo%2FLUqFeOpqscCak%2B4mM5lHtJQNG47yB%2BSVutkMJK1OpFmNeuo73yU4m4HuxzakLSLt7bugG%2BlN3f5bPge9NYq%2BdMTUWQv1EzYtyJ9SE31td2J62SXcBCVq6rBvNQxEf1mHWZ0T5PmnikNQLOFOuyQZMQ2X%2BNK1tu39kHotg71f33XrPT%2BTaZhd8xOcl6rsgp3gxLykNQhG%2Ft0U4OGscL4aBgqzct1GGpYzAQ1jM4Y6taSJkVY8FTSZ%2FOfD7RLt%2BEMY6CnIabv2IdZDHL3LPTPQHItqIc%2BbbSz6rfp%2F%2FX0g7DrLBkZ2JRqqH6sE26a1qz4NqtO0qExPA5U%2BB7Gkg9QP1BX6VThW5yyOCOoqrgbxQpO4EKMylvvgx5pqiSju9aOWLxoZ3IebRj6INRJHfZ3%2B73zoSI7bxa1OJIKA1EoPklVHOCFlH8ZA%2B2IsSE7ApdOQZVxtzNDWeuhXiVc9PHILKYAjNY9U%2Bp22BOWomsPzmjzYagiJRP49tCRs4o61Zxh2qP3puw4iTBX%2BmC5kR5fgCg3hFYdyXLfecbmuTOke8vLC4jpVl6%2BY9l3UoZqmAiRmvQMIKt7UFAq5tT2x0S7irkRx5U%2BEsIWYEoadacYfxdrjWYuVSk5FWHP8lAJC4Vp4Fl0JXFAsrrut0UnvsQ64bih3%2BHDvpXSGFvbeTnM13THZHfO%2BsuGou9KquLwUpbQZdgb1Qqvz8eKmmm8HsnZ0nPuIDzQTxP7VtEvEc4J4ShF5AROhn8smowjw6HlifflnA2AfhWKdAJJdloumw%2F4yec%2F13xs8IouFUul15kCrIgwrdra7YrsoXJ%2Fu9lGVrbQM0HWFDWi93gulg%2BMpIpkqHd0q7JTDdekylWrxR0JdygR7Wyhfs7tbe%2BvBIpGwPuinJ2nqNUyvmVpJDEh3tq1ESWdWdrNz4VdIONnjgkFGfwc7xncqdliukBoprhpzvodqlYnGRE4zbCTpEOFlMfXIgpS3kKsrduSNDQza%2BSd9L7qBagEv2djyzO%2BrKh8NA%2B1vnmCD5Ayp1ltxIBWdOx%2FI7IgZovS0gO6Eb7zOf77en8bqfEY7JyRtDbD%2FeO%2Fw56kVfWy9JVxQc5Gm5UyHlqXMdWDbNSXFgOGYsV1CtSoBmgetCN%2F4UUVrcRAXHVz8hZy0NkKFPJgD5SlpzBe3FM6Gn9WF7PTo85ZDRuJ5bwxw0w5e6XZGqUp4l4ASaY9%2FvxBy6V32yyJj3sEnomDJLe9YLxr%2FfPGqc2LgDrf4RITTmYEl%2Bk5yO7jN%2FyEkUErcbjMSrtViWjikjNvQ5vicdYH1BtfMXXUor5BAn%2B8iNwzE4jPa5wi1VqkW%2BRl8yFVxDUdiJZdKlfy4LRHPgHaBEKliul8fY4KhRHArOxOLKgPTP9feWmu%2Bmf5YVMAIItNonyzIzm3jRxsYR2WLduTx9pMby%2Bbx%2F0yVPSg7SXB1Au3L5p4hpheleVfwGpyxzxuXz6aeSAremQcbaqoCC4VPwWDag76XZQGAd6ZSol7LHEZdq9SpC6XJKei8pvHStm55L%2FwglZarFzPJCWe6n8lj9MwxPMJXrij80ClKNCyUNFiZPcK6zDWBY8nLy84MtBCuh0GGs3%2BHVHLoqQifbmfI1tynO02qZEYWI60yKMNanWTVn1xzLopWo1Gw3eMBka6ZevNZA0nNiFWaLZ%2BN8X4JB50760DfMSW4cFg763VhIjLs8eekR3rvStJJqailnOCgEVB8FfW3BG6ZdaYoio62U2Hf4ebkzCNCa7qId%2FlMCvatYZOHMvwe95iOAiKoakXsXFMA4p9%2BibcxP6t%2BWDagpsLq0TUklrjGtltfGxwq6ScHRBsAemaYCEn1ITO2KVwoLLOarJjZ%2B%2B8uvjHWslYrhn7wQyFH5OFip%2BN%2B1lsr1AHHR1lhI0WuPRrou4AFlDNHSaph2uYFnT4wxlMhFMwsMgX7DIKOshNDEjriDA4ftJ0cMmJc5tUo%2F1DhelV7WQdWAi31%2B2Ar55pdJ22xtjinK8t%2BEtdYZMGmp7WZ1Gy3yWa6Fiy7OPiKoygIRho6Qu1X6ZIaF88S6OYcW9Pdo8Pt6OV9ELnkfk8Cz9KVHmSyifJ1CRMP8IynWXUo4OaC70K2ahf69MOYIwppoCUtJi%2B6xJzRH5KgUygUxxuxhZXsSClYRL9cgDlD293WBv%2FCZEmWmhsEdbcQ0u7Z8VyxK%2Bh4MbiMKpZVQIoL7WC%2FibpHxcB97kCXJxxneXGDsw218sD7S3FpC03cR%2FVGthfwbi%2F5wvY7c%2FF3lerSrBZkUxhlLRSKKy1yhJx3v3mFM%2BabgYwnflfmpmpNexglDCN1ITeGzDClbMiXLJLyF9tcWT9XJJGNeC%2BMjkRHmzaA9bPUDzqwx%2FWnKTXFfcA6U07VzBSqMPNCRVF6DSqbzBnsmDTJ1DWOKCorZdYtqK1kDYCYamICGVJLVRkGCqJCFXwz9LAjTR27kNRxHzui3eEVMLHOm8lBeD2pVdklnCm8rDd%2FqiXAGdl9D%2B22mxHqqNXzB%2F6G0BViKYQXxFQukZUgjc6FWxMR5%2BYowyjcKScnmKIn2%2FxaSBFtzudKv9wVKKG%2BLMxC2AHFbSowoVWSqxLgKaJIPv3%2B6ZLTv2M9rx3%2FmXtMSz48BCjQKhmhIUOfVwLy4Md%2FcSQ9He8RYlSe8orSnk%2Fr8beHy4Mya%2F5z2EeCvrNN5dhWRzd53UGfXf24UswIp05Rtrlm6y4kGPZQfCh%2BQFE%2BvuMYmgtnbUrQOAObDj1IX1kQnLSDJtJJnTQFo49F1wPtFGp0VgIp646UAYEokVsuRAIN%2B%2BCwYTYuo59KpcSmsuJyfB%2BZh96pr1nD95b09beB%2BC%2BKqFbp0GJGvWTKZsrhwi8Y3ET9tOtGorcC%2Fs7Kay9dMygKcE6TFYADdnhSjdH1pSFv%2Be%2Bb3VYx1vkk%2FBdXsqlJ9%2B%2BdeaqpI%2FH9eSuf1V1NLVf4ZoHUHTmG7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"\n", "response = requests.post(url, headers=headers, data=data)\n", "\n", @@ -56,7 +54,7 @@ " header_list.append(th.text.strip())\n", " \n", "# 获取第二页以及之后的内容\n", - "for i in tqdm(range(2,340)):\n", + "for i in tqdm(range(2,568)):\n", " __VIEWSTATE = soup.find('input', id='__VIEWSTATE').get('value').strip()\n", " __EVENTVALIDATION = soup.find('input', id='__EVENTVALIDATION').get('value').strip()\n", " # print(__VIEWSTATE)\n", @@ -72,14 +70,14 @@ " \"Connection\": \"keep-alive\",\n", " \"Content-Length\": \"11300\", # 注意：实际使用时需要根据具体请求体长度调整\n", " \"Content-Type\": \"application/x-www-form-urlencoded\",\n", - " \"Cookie\": f\"ASP.NET_SessionId=aw4ajyrucsewefwug25vnpfk; Hm_lvt_ab3baaa579f771d051a6b0baad5a8cfe=1739159639; HMACCOUNT=ABFCA62083E00432; td_cookie=630612599; iswatchme=0; setaddat=0; hksdms=username2=admin&truename2=%e8%94%a1%e8%8e%89&id=7804&wxusername2=7804&zb=false&qx=111-11111111111-11111111111111-0-1111-11111111111111-111111111-1111111111-1111111111111-1111-0-0-0-0-0-0-0-0-0-0&login=1&actname=%e7%ae%a1%e7%90%86%e5%91%98&act=%e7%ae%a1%e7%90%86%e5%91%98&username=admin&truename=%e8%94%a1%e8%8e%89&userid=16489&valid=True&wxusername=7804&uniqueKey=7a6b7018-b9e0-40ea-a99f-714205c526e6&timeunitprice=0.00&allowquickout=True&telqx=1&tel=13688013403&StoreName=%e6%88%90%e9%83%bd%e9%80%9a%e9%80%94%e4%bd%b3%e5%ae%87%e6%b1%bd%e8%bd%a6%e7%bb%b4%e4%bf%ae%e6%9c%8d%e5%8a%a1%e6%9c%89%e9%99%90%e8%b4%a3%e4%bb%bb%e5%85%ac%e5%8f%b8%e6%96%b0%e9%83%bd%e5%88%86%e5%85%ac%e5%8f%b8&attestationTel=19982143399&StoreName2=%e6%88%90%e9%83%bd%e9%80%9a%e9%80%94%e4%bd%b3%e5%ae%87%e6%b1%bd%e8%bd%a6%e7%bb%b4%e4%bf%ae%e6%9c%8d%e5%8a%a1%e6%9c%89%e9%99%90%e8%b4%a3%e4%bb%bb%e5%85%ac%e5%8f%b8%e6%96%b0%e9%83%bd%e5%88%86%e5%85%ac%e5%8f%b8&vipid=SAAS7804&zonecode=1007&zone=%e5%9b%9b%e5%b7%9d&CustomerID=11717&IsInitialized=1&ScrmModuleValidTime=&isScrmModule=False&isBasicModule=True&isTechnologyModule=True&isPartsManageModule=True&isBusinessImprovementModule=False;Hm_lpvt_ab3baaa579f771d051a6b0baad5a8cfe={now_time}\",\n", 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EBvv1mfrS6co4Rv%2BYHyf9O8VWNeIL4rODsMP8uNSI12%2Bg%2B6YNJ%2B2trhDN1Joyvj4p02GuyNs%2BmYO41rLM2UKFNg615oFmQJ4w3flfb%2BxdpbqmzCCFLBgXNQJ6%2B2uZu3hEk3suf8EbSu3YMa%2FJFb49m42Zf6Fzm2xAp2qCU7ytBUga7dHixkG%2BE7LOlewgpbrrWTGUEQSdEzegn7h3ufHs1keBk6g4x4M2JqWbUCt8pl8Nh1v8%2BQ71OyhxWhjYrz7u34oyPIpmcaBSjQP9GmdSzZ1MLd%2FfqO8Q8bshfF0Q5vQrNWtdRiqGNyOE35FyNij41HNmRQpdzdgUlEZsgcnPh6ov8iUW7vJDh0V0fOQ%3D%3D&TextTime1=2015-01-01&TextTime2=2026-04-27&TextCname=&txtVin=&Txtcartype=&txtEngineno=&Button3=%E6%90%9C%E7%B4%A2&HiddenCountyear=&HiddenCount120=&HiddenCount240=&HiddenTtime=&HiddenOpenId=&HiddenBdtime=&HiddenVipId=&HiddenLasttime=&HiddenHfstate=&HiddenLastgch=&HiddenJyId=&HiddenHkscode=&HiddenBrand=&HiddenBrandname=&HiddenChassisnumber=&HiddenEngineDesc=&HiddenEngineStyle=&HiddenFamilyname=&HiddenGearbox=&HiddenGearboxName=&HiddenLyid=&HiddenProductyear=&HiddenVehiclename=&HiddenVehiclesale=&HiddenVin=&HiddenYearpattern=&HiddenDrivetype=&HiddenModelbrandlogourl=&HiddenModelbrandmfr=&HiddenModelid=&HiddenFueltype=&HiddenKilowattpower=&HiddenListedyear=&HiddenListedmonth=&HiddenStopyear=&HiddenBodynumdoors=&HiddenTransmissiondescription=&HiddenMakename=&HiddenModelbrandid=&HiddenMakeid=&HiddenIschoosevehicletype='\n", " new_response = requests.post(url, headers=headers, data=data)\n", "\n", " data = new_response.text\n", @@ -96,24 +94,24 @@ "\n", "\n", "df = pd.DataFrame(data_list, columns=header_list)\n", - "df.to_excel(r\"D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\快修哥客户信息导出.xlsx\")" + "df.to_excel(r\"D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\快修哥客户信息导出.xlsx\")" ], "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 338/338 [02:27<00:00, 2.30it/s]\n" + "100%|██████████| 566/566 [02:49<00:00, 3.34it/s]\n" ] } ], - "execution_count": 1 + "execution_count": 3 }, { "metadata": { "ExecuteTime": { - "end_time": "2025-06-04T04:05:10.519111Z", - "start_time": "2025-06-04T03:48:56.464461Z" + "end_time": "2026-04-25T09:25:03.655771700Z", + "start_time": "2026-04-25T09:24:13.925870300Z" } }, "cell_type": "code", @@ -130,22 +128,20 @@ "table = []\n", "now_time = time.time()\n", "headers = {\n", - " \"Accept\": \"text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7\",\n", - " \"Accept-Encoding\": \"gzip, deflate\",\n", - " \"Accept-Language\": \"zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6\",\n", - " \"Cache-Control\": \"max-age=0\",\n", - " \"Connection\": \"keep-alive\",\n", - " \"Content-Length\": \"11300\", # 注意：实际使用时需要根据具体请求体长度调整\n", - " \"Content-Type\": \"application/x-www-form-urlencoded\",\n", - " \"Cookie\": f\"ASP.NET_SessionId=bdanvu1qrbxlp5bnf41ocgtd; Hm_lvt_ab3baaa579f771d051a6b0baad5a8cfe=1748590004,1749008435; HMACCOUNT=ABFCA62083E00432; iswatchme=0; setaddat=0; hksdms=username2=admin&truename2=%e9%bb%84%e9%a1%ba%e9%91%ab&id=21682&wxusername2=&zb=false&qx=1&login=1&actname=%e5%ba%97%e9%95%bf&act=%e5%ba%97%e9%95%bf&username=admin&truename=%e9%bb%84%e9%a1%ba%e9%91%ab&userid=26514&valid=True&wxusername=&uniqueKey=8eb5be05-1367-4ca3-89b9-bff150354a21&timeunitprice=0.00&allowquickout=True&telqx=1&tel=16256489888&StoreName=%e7%99%bd%e4%ba%91%e5%8c%ba%e9%91%ab%e6%b5%b7%e6%b1%bd%e8%bd%a6%e4%bf%ae%e7%90%86%e5%8e%82&attestationTel=13618582338&StoreName2=%e7%99%bd%e4%ba%91%e5%8c%ba%e9%91%ab%e6%b5%b7%e6%b1%bd%e8%bd%a6%e4%bf%ae%e7%90%86%e5%8e%82&vipid=SAAS21682&zonecode=1016&zone=%e8%b4%b5%e5%b7%9e&CustomerID=1895&IsInitialized=1&ScrmModuleValidTime=&isScrmModule=False&isBasicModule=True&isTechnologyModule=True&isPartsManageModule=True&isBusinessImprovementModule=False; SERVERID=000e421eb0ab0efb9790874bd5c8f758|1749008488|1749008434; Hm_lpvt_ab3baaa579f771d051a6b0baad5a8cfe={now_time}\",\n", - " \"Host\": \"www.kuaixiuge.com\",\n", - " \"Origin\": \"http://www.kuaixiuge.com\",\n", - " \"Referer\": \"http://www.kuaixiuge.com/carinfo.aspx?clientWidth=1275\",\n", - " \"Upgrade-Insecure-Requests\": \"1\",\n", - " \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/132.0.0.0 Safari/537.36 Edg/132.0.0.0\"\n", + " 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',\n", + " 'Accept-Language': 'zh-CN,zh;q=0.9',\n", + " 'Cache-Control': 'max-age=0',\n", + " 'Connection': 'keep-alive',\n", + " 'Content-Type': 'application/x-www-form-urlencoded',\n", + " 'Origin': 'http://www.kuaixiuge.com',\n", + " 'Referer': 'http://www.kuaixiuge.com/carinfo.aspx?clientWidth=1286',\n", + " 'Upgrade-Insecure-Requests': '1',\n", + " 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/147.0.0.0 Safari/537.36',\n", + " 'Cookie': 'ASP.NET_SessionId=ciw1fuls0atkqaj4gkxhzngy; Hm_lvt_ab3baaa579f771d051a6b0baad5a8cfe=1777102209; HMACCOUNT=0838F6FCCBE848D9; iswatchme=0; setaddat=0; hksdms=username2=admin&truename2=%e8%91%9b&id=9864&wxusername2=&zb=false&qx=111-11111111111-11111111111111-0-1111-11111111111111-111111111-1111111111-111111111111-1111-0-0-0-0-0-0-0-0-0-0&login=1&actname=%e7%ae%a1%e7%90%86%e5%91%98&act=%e7%ae%a1%e7%90%86%e5%91%98&username=admin&truename=%e8%91%9b&userid=11955&valid=True&wxusername=&uniqueKey=8472d715-0f01-4b27-aa1c-90471f6cafa3&timeunitprice=0.00&allowquickout=True&telqx=1&tel=&StoreName=%e6%9c%ac%e4%bf%a1%e6%b1%bd%e8%bd%a6%e6%8a%a4%e7%90%86&attestationTel=13952699256&StoreName2=%e6%9c%ac%e4%bf%a1%e6%b1%bd%e8%bd%a6%e6%8a%a4%e7%90%86&vipid=SAAS9864&zonecode=1004&zone=%e6%b1%9f%e8%8b%8f&CustomerID=176575&IsInitialized=1&ScrmModuleValidTime=&isScrmModule=False&isBasicModule=True&isTechnologyModule=True&isPartsManageModule=True&isBusinessImprovementModule=False; SERVERID=000e421eb0ab0efb9790874bd5c8f758|1777108310|1777102207; Hm_lpvt_ab3baaa579f771d051a6b0baad5a8cfe=1777108313',\n", "}\n", + "\n", "# for i in tqdm(range(1, 660)):\n", - "data = 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"\n", "response = requests.post(url, headers=headers, data=data)\n", "\n", @@ -219,7 +215,7 @@ "\n", "\n", "df = pd.DataFrame(data_list, columns=header_list)\n", - "df.to_excel(r\"D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\快修哥客户信息导出1.xlsx\")" + "df.to_excel(r\"D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\快修哥客户信息导出1.xlsx\")" ], "id": "f6224736767514e4", "outputs": [ @@ -227,27 +223,203 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 1095/1095 [16:10<00:00, 1.13it/s]\n" + " 0%| | 0/1095 [00:00 \u001B[39m\u001B[32m1450\u001B[39m \u001B[43mresponse\u001B[49m\u001B[43m.\u001B[49m\u001B[43mbegin\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 1451\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mConnectionError\u001B[39;00m:\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\http\\client.py:336\u001B[39m, in \u001B[36mHTTPResponse.begin\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m 335\u001B[39m \u001B[38;5;28;01mwhile\u001B[39;00m \u001B[38;5;28;01mTrue\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m336\u001B[39m version, status, reason = \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m_read_status\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 337\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m status != CONTINUE:\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\http\\client.py:297\u001B[39m, in \u001B[36mHTTPResponse._read_status\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m 296\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34m_read_status\u001B[39m(\u001B[38;5;28mself\u001B[39m):\n\u001B[32m--> \u001B[39m\u001B[32m297\u001B[39m line = \u001B[38;5;28mstr\u001B[39m(\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mfp\u001B[49m\u001B[43m.\u001B[49m\u001B[43mreadline\u001B[49m\u001B[43m(\u001B[49m\u001B[43m_MAXLINE\u001B[49m\u001B[43m \u001B[49m\u001B[43m+\u001B[49m\u001B[43m \u001B[49m\u001B[32;43m1\u001B[39;49m\u001B[43m)\u001B[49m, \u001B[33m\"\u001B[39m\u001B[33miso-8859-1\u001B[39m\u001B[33m\"\u001B[39m)\n\u001B[32m 298\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mlen\u001B[39m(line) > _MAXLINE:\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\socket.py:719\u001B[39m, in \u001B[36mSocketIO.readinto\u001B[39m\u001B[34m(self, b)\u001B[39m\n\u001B[32m 718\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m719\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m_sock\u001B[49m\u001B[43m.\u001B[49m\u001B[43mrecv_into\u001B[49m\u001B[43m(\u001B[49m\u001B[43mb\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 720\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m timeout:\n", + "\u001B[31mTimeoutError\u001B[39m: timed out", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001B[31mKeyboardInterrupt\u001B[39m Traceback (most recent call last)", + "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[1]\u001B[39m\u001B[32m, line 75\u001B[39m\n\u001B[32m 73\u001B[39m \u001B[38;5;28;01mfor\u001B[39;00m attempt \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mrange\u001B[39m(max_retries):\n\u001B[32m 74\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m---> \u001B[39m\u001B[32m75\u001B[39m new_response = \u001B[43mrequests\u001B[49m\u001B[43m.\u001B[49m\u001B[43mpost\u001B[49m\u001B[43m(\u001B[49m\u001B[43murl\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m=\u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdata\u001B[49m\u001B[43m=\u001B[49m\u001B[43mdata\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mtimeout\u001B[49m\u001B[43m=\u001B[49m\u001B[32;43m20\u001B[39;49m\u001B[43m)\u001B[49m\n\u001B[32m 76\u001B[39m new_response.raise_for_status()\n\u001B[32m 77\u001B[39m \u001B[38;5;28;01mbreak\u001B[39;00m \u001B[38;5;66;03m# 成功则跳出循环\u001B[39;00m\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\site-packages\\requests\\api.py:115\u001B[39m, in \u001B[36mpost\u001B[39m\u001B[34m(url, data, json, **kwargs)\u001B[39m\n\u001B[32m 103\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34mpost\u001B[39m(url, data=\u001B[38;5;28;01mNone\u001B[39;00m, json=\u001B[38;5;28;01mNone\u001B[39;00m, **kwargs):\n\u001B[32m 104\u001B[39m \u001B[38;5;250m \u001B[39m\u001B[33mr\u001B[39m\u001B[33;03m\"\"\"Sends a POST request.\u001B[39;00m\n\u001B[32m 105\u001B[39m \n\u001B[32m 106\u001B[39m \u001B[33;03m :param url: URL for the new :class:`Request` object.\u001B[39;00m\n\u001B[32m (...)\u001B[39m\u001B[32m 112\u001B[39m \u001B[33;03m :rtype: requests.Response\u001B[39;00m\n\u001B[32m 113\u001B[39m \u001B[33;03m \"\"\"\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m115\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mrequest\u001B[49m\u001B[43m(\u001B[49m\u001B[33;43m\"\u001B[39;49m\u001B[33;43mpost\u001B[39;49m\u001B[33;43m\"\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43murl\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdata\u001B[49m\u001B[43m=\u001B[49m\u001B[43mdata\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mjson\u001B[49m\u001B[43m=\u001B[49m\u001B[43mjson\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\site-packages\\requests\\api.py:59\u001B[39m, in \u001B[36mrequest\u001B[39m\u001B[34m(method, url, **kwargs)\u001B[39m\n\u001B[32m 55\u001B[39m \u001B[38;5;66;03m# By using the 'with' statement we are sure the session is closed, thus we\u001B[39;00m\n\u001B[32m 56\u001B[39m \u001B[38;5;66;03m# avoid leaving sockets open which can trigger a ResourceWarning in some\u001B[39;00m\n\u001B[32m 57\u001B[39m \u001B[38;5;66;03m# cases, and look like a memory leak in others.\u001B[39;00m\n\u001B[32m 58\u001B[39m \u001B[38;5;28;01mwith\u001B[39;00m sessions.Session() \u001B[38;5;28;01mas\u001B[39;00m session:\n\u001B[32m---> \u001B[39m\u001B[32m59\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43msession\u001B[49m\u001B[43m.\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m(\u001B[49m\u001B[43mmethod\u001B[49m\u001B[43m=\u001B[49m\u001B[43mmethod\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43murl\u001B[49m\u001B[43m=\u001B[49m\u001B[43murl\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\site-packages\\requests\\sessions.py:589\u001B[39m, in \u001B[36mSession.request\u001B[39m\u001B[34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001B[39m\n\u001B[32m 584\u001B[39m send_kwargs = {\n\u001B[32m 585\u001B[39m \u001B[33m\"\u001B[39m\u001B[33mtimeout\u001B[39m\u001B[33m\"\u001B[39m: timeout,\n\u001B[32m 586\u001B[39m \u001B[33m\"\u001B[39m\u001B[33mallow_redirects\u001B[39m\u001B[33m\"\u001B[39m: allow_redirects,\n\u001B[32m 587\u001B[39m }\n\u001B[32m 588\u001B[39m send_kwargs.update(settings)\n\u001B[32m--> \u001B[39m\u001B[32m589\u001B[39m resp = \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43msend\u001B[49m\u001B[43m(\u001B[49m\u001B[43mprep\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43msend_kwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 591\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m resp\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\site-packages\\requests\\sessions.py:703\u001B[39m, in \u001B[36mSession.send\u001B[39m\u001B[34m(self, request, **kwargs)\u001B[39m\n\u001B[32m 700\u001B[39m start = preferred_clock()\n\u001B[32m 702\u001B[39m \u001B[38;5;66;03m# Send the request\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m703\u001B[39m r = \u001B[43madapter\u001B[49m\u001B[43m.\u001B[49m\u001B[43msend\u001B[49m\u001B[43m(\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 705\u001B[39m \u001B[38;5;66;03m# Total elapsed time of the request (approximately)\u001B[39;00m\n\u001B[32m 706\u001B[39m elapsed = preferred_clock() - start\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\site-packages\\requests\\adapters.py:644\u001B[39m, in \u001B[36mHTTPAdapter.send\u001B[39m\u001B[34m(self, request, stream, timeout, verify, cert, proxies)\u001B[39m\n\u001B[32m 641\u001B[39m timeout = TimeoutSauce(connect=timeout, read=timeout)\n\u001B[32m 643\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m644\u001B[39m resp = \u001B[43mconn\u001B[49m\u001B[43m.\u001B[49m\u001B[43murlopen\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m 645\u001B[39m \u001B[43m \u001B[49m\u001B[43mmethod\u001B[49m\u001B[43m=\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m.\u001B[49m\u001B[43mmethod\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 646\u001B[39m \u001B[43m \u001B[49m\u001B[43murl\u001B[49m\u001B[43m=\u001B[49m\u001B[43murl\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 647\u001B[39m \u001B[43m \u001B[49m\u001B[43mbody\u001B[49m\u001B[43m=\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m.\u001B[49m\u001B[43mbody\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 648\u001B[39m \u001B[43m \u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m=\u001B[49m\u001B[43mrequest\u001B[49m\u001B[43m.\u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 649\u001B[39m \u001B[43m \u001B[49m\u001B[43mredirect\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[32m 650\u001B[39m \u001B[43m \u001B[49m\u001B[43massert_same_host\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[32m 651\u001B[39m \u001B[43m \u001B[49m\u001B[43mpreload_content\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[32m 652\u001B[39m \u001B[43m \u001B[49m\u001B[43mdecode_content\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m,\u001B[49m\n\u001B[32m 653\u001B[39m \u001B[43m \u001B[49m\u001B[43mretries\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mmax_retries\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 654\u001B[39m \u001B[43m \u001B[49m\u001B[43mtimeout\u001B[49m\u001B[43m=\u001B[49m\u001B[43mtimeout\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 655\u001B[39m \u001B[43m \u001B[49m\u001B[43mchunked\u001B[49m\u001B[43m=\u001B[49m\u001B[43mchunked\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 656\u001B[39m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 658\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m (ProtocolError, \u001B[38;5;167;01mOSError\u001B[39;00m) \u001B[38;5;28;01mas\u001B[39;00m err:\n\u001B[32m 659\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mConnectionError\u001B[39;00m(err, request=request)\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\site-packages\\urllib3\\connectionpool.py:787\u001B[39m, in \u001B[36mHTTPConnectionPool.urlopen\u001B[39m\u001B[34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\u001B[39m\n\u001B[32m 784\u001B[39m response_conn = conn \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m release_conn \u001B[38;5;28;01melse\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m\n\u001B[32m 786\u001B[39m \u001B[38;5;66;03m# Make the request on the HTTPConnection object\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m787\u001B[39m response = \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m_make_request\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m 788\u001B[39m \u001B[43m \u001B[49m\u001B[43mconn\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 789\u001B[39m \u001B[43m \u001B[49m\u001B[43mmethod\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 790\u001B[39m \u001B[43m \u001B[49m\u001B[43murl\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 791\u001B[39m \u001B[43m \u001B[49m\u001B[43mtimeout\u001B[49m\u001B[43m=\u001B[49m\u001B[43mtimeout_obj\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 792\u001B[39m \u001B[43m \u001B[49m\u001B[43mbody\u001B[49m\u001B[43m=\u001B[49m\u001B[43mbody\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 793\u001B[39m \u001B[43m \u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m=\u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 794\u001B[39m \u001B[43m \u001B[49m\u001B[43mchunked\u001B[49m\u001B[43m=\u001B[49m\u001B[43mchunked\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 795\u001B[39m \u001B[43m \u001B[49m\u001B[43mretries\u001B[49m\u001B[43m=\u001B[49m\u001B[43mretries\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 796\u001B[39m \u001B[43m \u001B[49m\u001B[43mresponse_conn\u001B[49m\u001B[43m=\u001B[49m\u001B[43mresponse_conn\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 797\u001B[39m \u001B[43m \u001B[49m\u001B[43mpreload_content\u001B[49m\u001B[43m=\u001B[49m\u001B[43mpreload_content\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 798\u001B[39m \u001B[43m \u001B[49m\u001B[43mdecode_content\u001B[49m\u001B[43m=\u001B[49m\u001B[43mdecode_content\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 799\u001B[39m \u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mresponse_kw\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 800\u001B[39m \u001B[43m\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 802\u001B[39m \u001B[38;5;66;03m# Everything went great!\u001B[39;00m\n\u001B[32m 803\u001B[39m clean_exit = \u001B[38;5;28;01mTrue\u001B[39;00m\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\site-packages\\urllib3\\connectionpool.py:534\u001B[39m, in \u001B[36mHTTPConnectionPool._make_request\u001B[39m\u001B[34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\u001B[39m\n\u001B[32m 532\u001B[39m \u001B[38;5;66;03m# Receive the response from the server\u001B[39;00m\n\u001B[32m 533\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m534\u001B[39m response = \u001B[43mconn\u001B[49m\u001B[43m.\u001B[49m\u001B[43mgetresponse\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 535\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m (BaseSSLError, \u001B[38;5;167;01mOSError\u001B[39;00m) \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[32m 536\u001B[39m \u001B[38;5;28mself\u001B[39m._raise_timeout(err=e, url=url, timeout_value=read_timeout)\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\site-packages\\urllib3\\connection.py:571\u001B[39m, in \u001B[36mHTTPConnection.getresponse\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m 568\u001B[39m _shutdown = \u001B[38;5;28mgetattr\u001B[39m(\u001B[38;5;28mself\u001B[39m.sock, \u001B[33m\"\u001B[39m\u001B[33mshutdown\u001B[39m\u001B[33m\"\u001B[39m, \u001B[38;5;28;01mNone\u001B[39;00m)\n\u001B[32m 570\u001B[39m \u001B[38;5;66;03m# Get the response from http.client.HTTPConnection\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m571\u001B[39m httplib_response = \u001B[38;5;28;43msuper\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[43m.\u001B[49m\u001B[43mgetresponse\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 573\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m 574\u001B[39m assert_header_parsing(httplib_response.msg)\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\http\\client.py:1466\u001B[39m, in \u001B[36mHTTPConnection.getresponse\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m 1464\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m response\n\u001B[32m 1465\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m:\n\u001B[32m-> \u001B[39m\u001B[32m1466\u001B[39m \u001B[43mresponse\u001B[49m\u001B[43m.\u001B[49m\u001B[43mclose\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 1467\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\http\\client.py:435\u001B[39m, in \u001B[36mHTTPResponse.close\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m 432\u001B[39m \u001B[38;5;28mself\u001B[39m.fp = \u001B[38;5;28;01mNone\u001B[39;00m\n\u001B[32m 433\u001B[39m fp.close()\n\u001B[32m--> \u001B[39m\u001B[32m435\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34mclose\u001B[39m(\u001B[38;5;28mself\u001B[39m):\n\u001B[32m 436\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m 437\u001B[39m \u001B[38;5;28msuper\u001B[39m().close() \u001B[38;5;66;03m# set \"closed\" flag\u001B[39;00m\n", + "\u001B[31mKeyboardInterrupt\u001B[39m: " ] } ], - "execution_count": 6 + "execution_count": 1 + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "df = pd.DataFrame(data_list, columns=header_list)\n", + "df.to_excel(r\"D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\快修哥客户信息导出1.xlsx\")" + ], + "id": "832d7d934592ee43" + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "# 库存统计", + "id": "813332e4b90ede24" }, { "metadata": { "ExecuteTime": { - "end_time": "2025-06-04T03:48:15.272399Z", - "start_time": "2025-06-04T03:48:15.207428Z" + "end_time": "2026-04-25T09:25:41.562062400Z", + "start_time": "2026-04-25T09:25:41.103960200Z" } }, "cell_type": "code", "source": [ - "df = pd.DataFrame(data_list, columns=header_list)\n", - "df.to_excel(r\"D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\快修哥客户信息导出1.xlsx\")" + "import requests\n", + "\n", + "cookies = {\n", + " 'ASP.NET_SessionId': 'ciw1fuls0atkqaj4gkxhzngy',\n", + " 'Hm_lvt_ab3baaa579f771d051a6b0baad5a8cfe': '1777102209',\n", + " 'HMACCOUNT': '0838F6FCCBE848D9',\n", + " 'iswatchme': '0',\n", + " 'setaddat': '0',\n", + " 'hksdms': 'username2=admin&truename2=%e8%91%9b&id=9864&wxusername2=&zb=false&qx=111-11111111111-11111111111111-0-1111-11111111111111-111111111-1111111111-111111111111-1111-0-0-0-0-0-0-0-0-0-0&login=1&actname=%e7%ae%a1%e7%90%86%e5%91%98&act=%e7%ae%a1%e7%90%86%e5%91%98&username=admin&truename=%e8%91%9b&userid=11955&valid=True&wxusername=&uniqueKey=8472d715-0f01-4b27-aa1c-90471f6cafa3&timeunitprice=0.00&allowquickout=True&telqx=1&tel=&StoreName=%e6%9c%ac%e4%bf%a1%e6%b1%bd%e8%bd%a6%e6%8a%a4%e7%90%86&attestationTel=13952699256&StoreName2=%e6%9c%ac%e4%bf%a1%e6%b1%bd%e8%bd%a6%e6%8a%a4%e7%90%86&vipid=SAAS9864&zonecode=1004&zone=%e6%b1%9f%e8%8b%8f&CustomerID=176575&IsInitialized=1&ScrmModuleValidTime=&isScrmModule=False&isBasicModule=True&isTechnologyModule=True&isPartsManageModule=True&isBusinessImprovementModule=False',\n", + " 'SERVERID': '000e421eb0ab0efb9790874bd5c8f758|1777108310|1777102207',\n", + " 'Hm_lpvt_ab3baaa579f771d051a6b0baad5a8cfe': '1777108313',\n", + "}\n", + "\n", + "headers = {\n", + " 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',\n", + " 'Accept-Language': 'zh-CN,zh;q=0.9',\n", + " 'Cache-Control': 'max-age=0',\n", + " 'Connection': 'keep-alive',\n", + " 'Content-Type': 'application/x-www-form-urlencoded',\n", + " 'Origin': 'http://www.kuaixiuge.com',\n", + " 'Referer': 'http://www.kuaixiuge.com/carinfo.aspx?clientWidth=1286',\n", + " 'Upgrade-Insecure-Requests': '1',\n", + " 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/147.0.0.0 Safari/537.36',\n", + " # 'Cookie': 'ASP.NET_SessionId=ciw1fuls0atkqaj4gkxhzngy; Hm_lvt_ab3baaa579f771d051a6b0baad5a8cfe=1777102209; HMACCOUNT=0838F6FCCBE848D9; iswatchme=0; setaddat=0; hksdms=username2=admin&truename2=%e8%91%9b&id=9864&wxusername2=&zb=false&qx=111-11111111111-11111111111111-0-1111-11111111111111-111111111-1111111111-111111111111-1111-0-0-0-0-0-0-0-0-0-0&login=1&actname=%e7%ae%a1%e7%90%86%e5%91%98&act=%e7%ae%a1%e7%90%86%e5%91%98&username=admin&truename=%e8%91%9b&userid=11955&valid=True&wxusername=&uniqueKey=8472d715-0f01-4b27-aa1c-90471f6cafa3&timeunitprice=0.00&allowquickout=True&telqx=1&tel=&StoreName=%e6%9c%ac%e4%bf%a1%e6%b1%bd%e8%bd%a6%e6%8a%a4%e7%90%86&attestationTel=13952699256&StoreName2=%e6%9c%ac%e4%bf%a1%e6%b1%bd%e8%bd%a6%e6%8a%a4%e7%90%86&vipid=SAAS9864&zonecode=1004&zone=%e6%b1%9f%e8%8b%8f&CustomerID=176575&IsInitialized=1&ScrmModuleValidTime=&isScrmModule=False&isBasicModule=True&isTechnologyModule=True&isPartsManageModule=True&isBusinessImprovementModule=False; SERVERID=000e421eb0ab0efb9790874bd5c8f758|1777108310|1777102207; Hm_lpvt_ab3baaa579f771d051a6b0baad5a8cfe=1777108313',\n", + "}\n", + "\n", + "params = {\n", + " 'clientWidth': '1286',\n", + "}\n", + "\n", + "data = {\n", + " '__EVENTTARGET': '',\n", + " '__EVENTARGUMENT': '',\n", + " '__VIEWSTATE': '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',\n", + " '__VIEWSTATEGENERATOR': 'B80C0CC7',\n", + " '__VIEWSTATEENCRYPTED': '',\n", + " '__EVENTVALIDATION': 'cm8Bauk0LSpuEYHh2V9yIfW6Uw0CTau/yGAIcEDyPsmTgRdIvOeqDPkO4nSAez40zB/VIH/KJKYYnAiKjXJdvTmGRbFIt/BH3/MqsLD7XvVfzgphQNW4uqSBfZDF9pXjzO2luJ28MFUhV3bjfC5EpFYNlNXZPTBEa4/7AOvsClO3zCFDswTQkgFhHx6AiW00OvJPobBywiwKAevGKkk6DutC/4m9Pux5qoDLffHF9OizyTQXU7X3oGuBEVXFhs3FzzrwRuo+XR4EOAzC38icqj/RhwE0MvmJq323ZwPo3F2fljJPmp8F1E6V5WJnDx8vZlxLIAHKotCmsBAEH6IVX4vGJwB9X1GiL/SzftqnzHd+R1Wok5cmMiE9AFOAMtbguU8yOtQPHDzD9vq7gaOPpvwe7X+Lo+CqlySErSE1xOqVfDMPXzROQ4zBHFV3yPRYEPMX8SMG6mL3ldYwFjYehpKAcBL5RQ2qcnmPlToQlcFyi4H//EGYQs1y5ux5o2KRj85rN6Ev9n3o5jTZ8c/gfKg3sh+WDQfyLesTt/7zipRJsUMWzRIhrsIG9DfWDsvGndrcfLFTljGRWURloGp5n92n25wgtRVIr8E9UBj5Z/z6pxY+lIl8JiyOguE/bZYyTZ0Vfk73/SSuxvrM/PFLv03m9QDr1RSjZighoIUctZEWTXWGK/oaXnxJtfBCX/WxXE9+C7LXWp0SQy220co3pf6B4ukL+kpoto3uRfESk++ATUSNyTFUZxQVC4gCWyuXjWWMhLw9opvUDYs6fkaKy2bVqFHICN1JT3rdKy1T+/qDmJpbXoYjj8YX/VBPfpW9P+YaVz2dRo3FSuR66jdZfBTSYOkIqC/3Ixf9VcRrQ0C1svpEbfCnFy6cQyK+cf/niRphKDMK+f/gvstz7FNHbq0qB+8jvW2EHVXu2JCFQn+QWLa7qZdM6UlaBA0KP0XlNvCp5+R2wOqVv2yEudVUVbIRwAhoOzWx5F83QLoGPIVektsBAwXVYRRcqHI4qFotSp1WIK7zOb5Z5ltRN7KJo/fTpawX3uLKYyaWP+NXK9UtxiRBlyD4PHzGpYGRi/bRf34JO5/RUyxaK67i+a3FLWFGWAJ7UHfzBpwWN8jA0MHm+q0w8kl1Yn+Qi3dQHPKOPwTtqIQJzjcLNpwGhEs6/YeRc2em1T3dsum0dVJhaVnS53XnXsnr8T/nejKs46EhxbdnzrBoeYCyRM+N8B5pUnv7AQjFQvwEHA07uQ9tXBS8R5/NQOD3PMWBu4pZ+9qgtOWMLytxLBnRFMRJadLUA+ti44f3ZeRFVXVErW4drukDNaStviFs7S6i96scxEiukXOS2P1Ts43bPCiCBsm8Q4cXZ6sgdox6kO0BT3AXiFpYqRhh7imB5nKQjX1yradmSHQ+ppW8eHpI4T7RUbXxEQnvpBMJAeGcvmylmSMkSmzhlnhjNAWgsZsUnRniru7VFaIymHOdfXBLPeLICGRxtAiPA+AadMYBz1/rglow3CjsXAptzE1OrRQK3wSXvWNd/q4ie8NFHXG982a1iP4+EJPQKAhETqqo2czGS+ibTfpG5jHToikYmhimCvNInBNK5xygrF74Angyq5638JVsLYbKs436WPXFdUw32NIRdDhWhGQpj4rwa8mlxdZVdQXEVPFCk+S/GZIwT/qpMhOCEeDdu9JUl/Jhpm3ixNkmLX1QXm5SKRKwyjio2hcnc8GDXFqdRA+a5A2OiJh86ZWMZ2ff1kddUZra84S4JYT93xnOA3yl2swVBXD66bgTuDj1E7lnqzoqvoqzhEHRwIAJb7n4q0UHswnHTEPHq5Wm6sEr0nfAonVQsT+Gnjj5Ujc3MVJ2nkZSeoiO9mkGlqjdL27goFU+8HOPePRC5GKkBZ4rZt2oWQxSxnsGUyh6/ufViDsa2JAWqqy9LnlQ0SjNFHCnJ7jZfk5ICxjVyQ==',\n", + " 'TextTime1': '2015-01-01',\n", + " 'TextTime2': '2026-04-25',\n", + " 'TextCname': '',\n", + " 'txtVin': '',\n", + " 'Txtcartype': '',\n", + " 'txtEngineno': '',\n", + " 'Button3': '搜索',\n", + " 'AspNetPager1_input': '4',\n", + " 'HiddenCountyear': '',\n", + " 'HiddenCount120': '',\n", + " 'HiddenCount240': '',\n", + " 'HiddenTtime': '',\n", + " 'HiddenOpenId': '',\n", + " 'HiddenBdtime': '',\n", + " 'HiddenVipId': '',\n", + " 'HiddenLasttime': '',\n", + " 'HiddenHfstate': '',\n", + " 'HiddenLastgch': '',\n", + " 'HiddenJyId': '',\n", + " 'HiddenHkscode': '',\n", + " 'HiddenBrand': '',\n", + " 'HiddenBrandname': '',\n", + " 'HiddenChassisnumber': '',\n", + " 'HiddenEngineDesc': '',\n", + " 'HiddenEngineStyle': '',\n", + " 'HiddenFamilyname': '',\n", + " 'HiddenGearbox': '',\n", + " 'HiddenGearboxName': '',\n", + " 'HiddenLyid': '',\n", + " 'HiddenProductyear': '',\n", + " 'HiddenVehiclename': '',\n", + " 'HiddenVehiclesale': '',\n", + " 'HiddenVin': '',\n", + " 'HiddenYearpattern': '',\n", + " 'HiddenDrivetype': '',\n", + " 'HiddenModelbrandlogourl': '',\n", + " 'HiddenModelbrandmfr': '',\n", + " 'HiddenModelid': '',\n", + " 'HiddenFueltype': '',\n", + " 'HiddenKilowattpower': '',\n", + " 'HiddenListedyear': '',\n", + " 'HiddenListedmonth': '',\n", + " 'HiddenStopyear': '',\n", + " 'HiddenBodynumdoors': '',\n", + " 'HiddenTransmissiondescription': '',\n", + " 'HiddenMakename': '',\n", + " 'HiddenModelbrandid': '',\n", + " 'HiddenMakeid': '',\n", + " 'HiddenIschoosevehicletype': '',\n", + "}\n", + "\n", + "response = requests.post(\n", + " 'http://www.kuaixiuge.com/carinfo.aspx',\n", + " params=params,\n", + " cookies=cookies,\n", + " headers=headers,\n", + " data=data,\n", + " verify=False,\n", + ")\n", + "response.json()" ], "id": "d15b414ce5174b18", - "outputs": [], - "execution_count": 5 + "outputs": [ + { + "ename": "JSONDecodeError", + "evalue": "Expecting value: line 2 column 1 (char 2)", + "output_type": "error", + "traceback": [ + "\u001B[31m---------------------------------------------------------------------------\u001B[39m", + "\u001B[31mJSONDecodeError\u001B[39m Traceback (most recent call last)", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\site-packages\\requests\\models.py:976\u001B[39m, in \u001B[36mResponse.json\u001B[39m\u001B[34m(self, **kwargs)\u001B[39m\n\u001B[32m 975\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m976\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mcomplexjson\u001B[49m\u001B[43m.\u001B[49m\u001B[43mloads\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mtext\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 977\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m JSONDecodeError \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[32m 978\u001B[39m \u001B[38;5;66;03m# Catch JSON-related errors and raise as requests.JSONDecodeError\u001B[39;00m\n\u001B[32m 979\u001B[39m \u001B[38;5;66;03m# This aliases json.JSONDecodeError and simplejson.JSONDecodeError\u001B[39;00m\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\json\\__init__.py:352\u001B[39m, in \u001B[36mloads\u001B[39m\u001B[34m(s, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)\u001B[39m\n\u001B[32m 349\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m (\u001B[38;5;28mcls\u001B[39m \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m \u001B[38;5;129;01mand\u001B[39;00m object_hook \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m \u001B[38;5;129;01mand\u001B[39;00m\n\u001B[32m 350\u001B[39m parse_int \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m \u001B[38;5;129;01mand\u001B[39;00m parse_float \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m \u001B[38;5;129;01mand\u001B[39;00m\n\u001B[32m 351\u001B[39m parse_constant \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m \u001B[38;5;129;01mand\u001B[39;00m object_pairs_hook \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m \u001B[38;5;129;01mand\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m kw):\n\u001B[32m--> \u001B[39m\u001B[32m352\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43m_default_decoder\u001B[49m\u001B[43m.\u001B[49m\u001B[43mdecode\u001B[49m\u001B[43m(\u001B[49m\u001B[43ms\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 353\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mcls\u001B[39m \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\json\\decoder.py:345\u001B[39m, in \u001B[36mJSONDecoder.decode\u001B[39m\u001B[34m(self, s, _w)\u001B[39m\n\u001B[32m 341\u001B[39m \u001B[38;5;250m\u001B[39m\u001B[33;03m\"\"\"Return the Python representation of ``s`` (a ``str`` instance\u001B[39;00m\n\u001B[32m 342\u001B[39m \u001B[33;03mcontaining a JSON document).\u001B[39;00m\n\u001B[32m 343\u001B[39m \n\u001B[32m 344\u001B[39m \u001B[33;03m\"\"\"\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m345\u001B[39m obj, end = \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mraw_decode\u001B[49m\u001B[43m(\u001B[49m\u001B[43ms\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43midx\u001B[49m\u001B[43m=\u001B[49m\u001B[43m_w\u001B[49m\u001B[43m(\u001B[49m\u001B[43ms\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[32;43m0\u001B[39;49m\u001B[43m)\u001B[49m\u001B[43m.\u001B[49m\u001B[43mend\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 346\u001B[39m end = _w(s, end).end()\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\json\\decoder.py:363\u001B[39m, in \u001B[36mJSONDecoder.raw_decode\u001B[39m\u001B[34m(self, s, idx)\u001B[39m\n\u001B[32m 362\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mStopIteration\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m err:\n\u001B[32m--> \u001B[39m\u001B[32m363\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m JSONDecodeError(\u001B[33m\"\u001B[39m\u001B[33mExpecting value\u001B[39m\u001B[33m\"\u001B[39m, s, err.value) \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mNone\u001B[39;00m\n\u001B[32m 364\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m obj, end\n", + "\u001B[31mJSONDecodeError\u001B[39m: Expecting value: line 2 column 1 (char 2)", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001B[31mJSONDecodeError\u001B[39m Traceback (most recent call last)", + "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[2]\u001B[39m\u001B[32m, line 97\u001B[39m\n\u001B[32m 31\u001B[39m data = {\n\u001B[32m 32\u001B[39m \u001B[33m'\u001B[39m\u001B[33m__EVENTTARGET\u001B[39m\u001B[33m'\u001B[39m: \u001B[33m'\u001B[39m\u001B[33m'\u001B[39m,\n\u001B[32m 33\u001B[39m \u001B[33m'\u001B[39m\u001B[33m__EVENTARGUMENT\u001B[39m\u001B[33m'\u001B[39m: \u001B[33m'\u001B[39m\u001B[33m'\u001B[39m,\n\u001B[32m (...)\u001B[39m\u001B[32m 86\u001B[39m \u001B[33m'\u001B[39m\u001B[33mHiddenIschoosevehicletype\u001B[39m\u001B[33m'\u001B[39m: \u001B[33m'\u001B[39m\u001B[33m'\u001B[39m,\n\u001B[32m 87\u001B[39m }\n\u001B[32m 89\u001B[39m response = requests.post(\n\u001B[32m 90\u001B[39m \u001B[33m'\u001B[39m\u001B[33mhttp://www.kuaixiuge.com/carinfo.aspx\u001B[39m\u001B[33m'\u001B[39m,\n\u001B[32m 91\u001B[39m params=params,\n\u001B[32m (...)\u001B[39m\u001B[32m 95\u001B[39m verify=\u001B[38;5;28;01mFalse\u001B[39;00m,\n\u001B[32m 96\u001B[39m )\n\u001B[32m---> \u001B[39m\u001B[32m97\u001B[39m \u001B[43mresponse\u001B[49m\u001B[43m.\u001B[49m\u001B[43mjson\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n", + "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\site-packages\\requests\\models.py:980\u001B[39m, in \u001B[36mResponse.json\u001B[39m\u001B[34m(self, **kwargs)\u001B[39m\n\u001B[32m 976\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m complexjson.loads(\u001B[38;5;28mself\u001B[39m.text, **kwargs)\n\u001B[32m 977\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m JSONDecodeError \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[32m 978\u001B[39m \u001B[38;5;66;03m# Catch JSON-related errors and raise as requests.JSONDecodeError\u001B[39;00m\n\u001B[32m 979\u001B[39m \u001B[38;5;66;03m# This aliases json.JSONDecodeError and simplejson.JSONDecodeError\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m980\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m RequestsJSONDecodeError(e.msg, e.doc, e.pos)\n", + "\u001B[31mJSONDecodeError\u001B[39m: Expecting value: line 2 column 1 (char 2)" + ] + } + ], + "execution_count": 2 } ], "metadata": { diff --git a/张阳脚本/竞品系统数据导出/米其林驰加系统导出.ipynb b/张阳脚本/竞品系统数据导出/米其林驰加系统导出.ipynb index fc5915c..0723bd6 100644 --- a/张阳脚本/竞品系统数据导出/米其林驰加系统导出.ipynb +++ b/张阳脚本/竞品系统数据导出/米其林驰加系统导出.ipynb @@ -14,8 +14,8 @@ "metadata": { "collapsed": true, "ExecuteTime": { - "end_time": "2026-03-24T03:12:19.747274800Z", - "start_time": "2026-03-24T02:42:20.660416400Z" + "end_time": "2026-04-23T08:20:44.296733100Z", + "start_time": "2026-04-23T08:16:24.431928500Z" } }, "source": [ @@ -26,17 +26,16 @@ "\n", "# Cookie 和 Headers 配置\n", "cookies = {\n", - " 'acw_tc': '76b20f7917743149845914058ebc47559507cd60c8642e0d54dbe45b6da222',\n", " 'Hm_lvt_684c22b31d0037eca5a691cde16370ad': '1773130169,1774314982',\n", - " 'Hm_lpvt_684c22b31d0037eca5a691cde16370ad': '1774314982',\n", - " 'HMACCOUNT': 'A6A0585E8C70051D',\n", - " 'e_token': 'f44423067c184689a19eb9dc564bf33e',\n", + " 'acw_tc': '76b20ff917769316546828414e03f43fa61f25e670b6f93f0480d1876ff447',\n", + " 'e_token': '3734b115f75f41ba8534f6780317e904',\n", " 'weixin_token': 'Y',\n", - " 'e_c': 'NTQ0MzQ1MDE0MTA3ODA1Mg==',\n", - " 'e_i_o_c_n': 'JTIyJUU1JTlCJTlCJUU0JUJDJTlBJUU1JUI4JTgyJUU4JThEJUEzJUU5JUFBJThGJUU2JUIxJUJEJUU4JUJEJUE2JUU3JUJCJUI0JUU0JUJGJUFFJUU0JUI4JUFEJUU1JUJGJTgzJTVCKzIwMDM5MDYrJTVEJTIy',\n", - " 'e_i_p_c_n': 'JTIyJUU5JUE5JUIwJUU1JThBJUEwJUU2JUIxJUJEJUU4JUJEJUE2JUU2JTlDJThEJUU1JThBJUExJUU0JUI4JUFEJUU1JUJGJTgzJUU1JTlCJTlCJUU0JUJDJTlBJUU1JUI4JTgyJUU2JUEzJTk1JUU2JUE2JTg4JUU1JTlCJUFEJUU1JUJBJTk3JUU1JUJBJTk3JUU0JUI4JUJCJTVCKzIwMjk5MDkrJTVEJTIy',\n", + " 'e_c': 'MjEwNjQxMDIzMTY2ODczNjc0',\n", + " 'e_i_o_c_n': 'JTIyJUU5JUE5JUIwJUU1JThBJUEwJUU2JUIxJUJEJUU4JUJEJUE2JUU2JTlDJThEJUU1JThBJUExJUU0JUI4JUFEJUU1JUJGJTgzJUU2JUIxJTlGJUU1JThDJTk3JUU1JThDJUJBJUU2JTlGJUIzJUU1JUIyJUI4JUU4JUI3JUFGJUU1JUJBJTk3JTVCKzIwMDU2MzQrJTVEJTIy',\n", + " 'e_i_p_c_n': 'JTIyJUU5JUE5JUIwJUU1JThBJUEwJUU2JUIxJUJEJUU4JUJEJUE2JUU2JTlDJThEJUU1JThBJUExJUU0JUI4JUFEJUU1JUJGJTgzJUU2JUIxJTlGJUU1JThDJTk3JUU1JThDJUJBJUU2JTlGJUIzJUU1JUIyJUI4JUU4JUI3JUFGJUU1JUJBJTk3JUU1JUJBJTk3JUU5JTk1JUJGJTVCKzIwMjg3NTcrJTVEJTIy',\n", "}\n", "\n", + "\n", "headers = {\n", " 'Accept': 'application/json, text/plain, */*',\n", " 'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6',\n", @@ -56,7 +55,7 @@ "\n", "\n", "all_data = []\n", - "for i in tqdm(range(1, 2019)):\n", + "for i in tqdm(range(1, 372)):\n", " json_data = {\n", " 'pageStart': i,\n", " 'pageNums': 10,\n", @@ -81,11 +80,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 2018/2018 [29:27<00:00, 1.14it/s]\n" + "100%|██████████| 371/371 [04:12<00:00, 1.47it/s]\n" ] } ], - "execution_count": 2 + "execution_count": 1 }, { "cell_type": "markdown", @@ -100,8 +99,8 @@ "id": "51f8f4b21505280a", "metadata": { "ExecuteTime": { - "end_time": "2026-03-24T07:37:35.090160900Z", - "start_time": "2026-03-24T05:31:09.783019900Z" + "end_time": "2026-04-23T08:36:56.349271400Z", + "start_time": "2026-04-23T08:20:44.300734900Z" } }, "source": [ @@ -113,15 +112,13 @@ "# ================= 配置区域 =================\n", "# Cookie 和 Headers 配置\n", "cookies = {\n", - " 'acw_tc': '76b20f7917743149845914058ebc47559507cd60c8642e0d54dbe45b6da222',\n", " 'Hm_lvt_684c22b31d0037eca5a691cde16370ad': '1773130169,1774314982',\n", - " 'Hm_lpvt_684c22b31d0037eca5a691cde16370ad': '1774314982',\n", - " 'HMACCOUNT': 'A6A0585E8C70051D',\n", - " 'e_token': 'f44423067c184689a19eb9dc564bf33e',\n", + " 'acw_tc': '76b20ff917769316546828414e03f43fa61f25e670b6f93f0480d1876ff447',\n", + " 'e_token': '3734b115f75f41ba8534f6780317e904',\n", " 'weixin_token': 'Y',\n", - " 'e_c': 'NTQ0MzQ1MDE0MTA3ODA1Mg==',\n", - " 'e_i_o_c_n': 'JTIyJUU1JTlCJTlCJUU0JUJDJTlBJUU1JUI4JTgyJUU4JThEJUEzJUU5JUFBJThGJUU2JUIxJUJEJUU4JUJEJUE2JUU3JUJCJUI0JUU0JUJGJUFFJUU0JUI4JUFEJUU1JUJGJTgzJTVCKzIwMDM5MDYrJTVEJTIy',\n", - " 'e_i_p_c_n': 'JTIyJUU5JUE5JUIwJUU1JThBJUEwJUU2JUIxJUJEJUU4JUJEJUE2JUU2JTlDJThEJUU1JThBJUExJUU0JUI4JUFEJUU1JUJGJTgzJUU1JTlCJTlCJUU0JUJDJTlBJUU1JUI4JTgyJUU2JUEzJTk1JUU2JUE2JTg4JUU1JTlCJUFEJUU1JUJBJTk3JUU1JUJBJTk3JUU0JUI4JUJCJTVCKzIwMjk5MDkrJTVEJTIy',\n", + " 'e_c': 'MjEwNjQxMDIzMTY2ODczNjc0',\n", + " 'e_i_o_c_n': 'JTIyJUU5JUE5JUIwJUU1JThBJUEwJUU2JUIxJUJEJUU4JUJEJUE2JUU2JTlDJThEJUU1JThBJUExJUU0JUI4JUFEJUU1JUJGJTgzJUU2JUIxJTlGJUU1JThDJTk3JUU1JThDJUJBJUU2JTlGJUIzJUU1JUIyJUI4JUU4JUI3JUFGJUU1JUJBJTk3JTVCKzIwMDU2MzQrJTVEJTIy',\n", + " 'e_i_p_c_n': 'JTIyJUU5JUE5JUIwJUU1JThBJUEwJUU2JUIxJUJEJUU4JUJEJUE2JUU2JTlDJThEJUU1JThBJUExJUU0JUI4JUFEJUU1JUJGJTgzJUU2JUIxJTlGJUU1JThDJTk3JUU1JThDJUJBJUU2JTlGJUIzJUU1JUIyJUI4JUU4JUI3JUFGJUU1JUJBJTk3JUU1JUJBJTk3JUU5JTk1JUJGJTVCKzIwMjg3NTcrJTVEJTIy',\n", "}\n", "\n", "headers = {\n", @@ -145,9 +142,9 @@ "\n", "# 业务参数配置\n", "TARGET_URL = 'https://teds.tyreplus.com.cn/api/aftersales/payment/queryPaymentSettlementListByCondition'\n", - "STORE_CODES = [\"330522\", \"343280\"] # 门店列表\n", + "STORE_CODES = [\"350085\"] # 门店列表\n", "PAGE_SIZE = 10\n", - "OUTPUT_PATH = r\"D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\13822673880结算单.xlsx\"\n", + "OUTPUT_PATH = r\"D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\15888527505结算单.xlsx\"\n", "MAX_RETRIES = 3\n", "\n", "# ================= 功能函数 =================\n", @@ -272,43 +269,15 @@ "output_type": "stream", "text": [ "正在获取第 1 页数据以计算总记录数...\n", - "✅ 获取成功。总记录数: 43728\n", - "📄 预计总页数: 4373 (每页 10 条)\n" + "✅ 获取成功。总记录数: 8310\n", + "📄 预计总页数: 831 (每页 10 条)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "正在爬取结算单: 33%|███▎ | 1441/4373 [38:12<1:29:11, 1.83s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "第1442页请求失败 (尝试 1/3): ('Connection aborted.', ConnectionResetError(10054, '远程主机强迫关闭了一个现有的连接。', None, 10054, None))\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "正在爬取结算单: 51%|█████ | 2241/4373 [1:02:36<1:01:42, 1.74s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "第2242页请求失败 (尝试 1/3): ('Connection aborted.', ConnectionResetError(10054, '远程主机强迫关闭了一个现有的连接。', None, 10054, None))\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "正在爬取结算单: 100%|██████████| 4373/4373 [2:05:27<00:00, 1.72s/it] \n" + "正在爬取结算单: 100%|██████████| 831/831 [16:01<00:00, 1.16s/it]\n" ] }, { @@ -316,12 +285,12 @@ "output_type": "stream", "text": [ "\n", - "🎉 数据已成功保存至: D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\13822673880结算单.xlsx\n", - "📊 共保存 43730 条记录 (期望: 43728)\n" + "🎉 数据已成功保存至: D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\15888527505结算单.xlsx\n", + "📊 共保存 8310 条记录 (期望: 8310)\n" ] } ], - "execution_count": 3 + "execution_count": 2 }, { "cell_type": "markdown", @@ -336,8 +305,8 @@ "id": "b7e0d7a4da6c9b03", "metadata": { "ExecuteTime": { - "end_time": "2026-03-25T10:15:04.125375900Z", - "start_time": "2026-03-24T12:31:05.631170600Z" + "end_time": "2026-04-23T12:43:38.281667400Z", + "start_time": "2026-04-23T08:36:56.424636200Z" } }, "source": [ @@ -347,15 +316,13 @@ "import time\n", "\n", "cookies = {\n", - " 'acw_tc': '76b20f7917743149845914058ebc47559507cd60c8642e0d54dbe45b6da222',\n", " 'Hm_lvt_684c22b31d0037eca5a691cde16370ad': '1773130169,1774314982',\n", - " 'Hm_lpvt_684c22b31d0037eca5a691cde16370ad': '1774314982',\n", - " 'HMACCOUNT': 'A6A0585E8C70051D',\n", - " 'e_token': 'f44423067c184689a19eb9dc564bf33e',\n", + " 'acw_tc': '76b20ff917769316546828414e03f43fa61f25e670b6f93f0480d1876ff447',\n", + " 'e_token': '3734b115f75f41ba8534f6780317e904',\n", " 'weixin_token': 'Y',\n", - " 'e_c': 'NTQ0MzQ1MDE0MTA3ODA1Mg==',\n", - " 'e_i_o_c_n': 'JTIyJUU1JTlCJTlCJUU0JUJDJTlBJUU1JUI4JTgyJUU4JThEJUEzJUU5JUFBJThGJUU2JUIxJUJEJUU4JUJEJUE2JUU3JUJCJUI0JUU0JUJGJUFFJUU0JUI4JUFEJUU1JUJGJTgzJTVCKzIwMDM5MDYrJTVEJTIy',\n", - " 'e_i_p_c_n': 'JTIyJUU5JUE5JUIwJUU1JThBJUEwJUU2JUIxJUJEJUU4JUJEJUE2JUU2JTlDJThEJUU1JThBJUExJUU0JUI4JUFEJUU1JUJGJTgzJUU1JTlCJTlCJUU0JUJDJTlBJUU1JUI4JTgyJUU2JUEzJTk1JUU2JUE2JTg4JUU1JTlCJUFEJUU1JUJBJTk3JUU1JUJBJTk3JUU0JUI4JUJCJTVCKzIwMjk5MDkrJTVEJTIy',\n", + " 'e_c': 'MjEwNjQxMDIzMTY2ODczNjc0',\n", + " 'e_i_o_c_n': 'JTIyJUU5JUE5JUIwJUU1JThBJUEwJUU2JUIxJUJEJUU4JUJEJUE2JUU2JTlDJThEJUU1JThBJUExJUU0JUI4JUFEJUU1JUJGJTgzJUU2JUIxJTlGJUU1JThDJTk3JUU1JThDJUJBJUU2JTlGJUIzJUU1JUIyJUI4JUU4JUI3JUFGJUU1JUJBJTk3JTVCKzIwMDU2MzQrJTVEJTIy',\n", + " 'e_i_p_c_n': 'JTIyJUU5JUE5JUIwJUU1JThBJUEwJUU2JUIxJUJEJUU4JUJEJUE2JUU2JTlDJThEJUU1JThBJUExJUU0JUI4JUFEJUU1JUJGJTgzJUU2JUIxJTlGJUU1JThDJTk3JUU1JThDJUJBJUU2JTlGJUIzJUU1JUIyJUI4JUU4JUI3JUFGJUU1JUJBJTk3JUU1JUJBJTk3JUU5JTk1JUJGJTVCKzIwMjg3NTcrJTVEJTIy',\n", "}\n", "\n", "headers = {\n", @@ -376,7 +343,7 @@ " # 'Cookie': 'acw_tc=76b20f7917743149845914058ebc47559507cd60c8642e0d54dbe45b6da222; Hm_lvt_684c22b31d0037eca5a691cde16370ad=1773130169,1774314982; Hm_lpvt_684c22b31d0037eca5a691cde16370ad=1774314982; HMACCOUNT=A6A0585E8C70051D; e_token=f44423067c184689a19eb9dc564bf33e; weixin_token=Y; e_c=NTQ0MzQ1MDE0MTA3ODA1Mg==; e_i_o_c_n=JTIyJUU1JTlCJTlCJUU0JUJDJTlBJUU1JUI4JTgyJUU4JThEJUEzJUU5JUFBJThGJUU2JUIxJUJEJUU4JUJEJUE2JUU3JUJCJUI0JUU0JUJGJUFFJUU0JUI4JUFEJUU1JUJGJTgzJTVCKzIwMDM5MDYrJTVEJTIy; e_i_p_c_n=JTIyJUU5JUE5JUIwJUU1JThBJUEwJUU2JUIxJUJEJUU4JUJEJUE2JUU2JTlDJThEJUU1JThBJUExJUU0JUI4JUFEJUU1JUJGJTgzJUU1JTlCJTlCJUU0JUJDJTlBJUU1JUI4JTgyJUU2JUEzJTk1JUU2JUE2JTg4JUU1JTlCJUFEJUU1JUJBJTk3JUU1JUJBJTk3JUU0JUI4JUJCJTVCKzIwMjk5MDkrJTVEJTIy',\n", "}\n", "\n", - "df = pd.read_excel(fr\"D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\13822673880结算单.xlsx\", sheet_name='Sheet1')\n", + "df = pd.read_excel(fr\"D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\15888527505结算单.xlsx\", sheet_name='Sheet1')\n", "\n", "all_data_list = []\n", "all_service_data = []\n", @@ -464,12 +431,12 @@ { "data": { "text/plain": [ - " 0%| | 0/43730 [00:00, 'Connection to teds.tyreplus.com.cn timed out. (connect timeout=10)')) (paymentNo: SI2511011255731172)\n", + "请求异常: HTTPSConnectionPool(host='teds.tyreplus.com.cn', port=443): Max retries exceeded with url: /api/v2/aftersales/payment/queryPaymentSettlementDetail (Caused by ConnectTimeoutError(, 'Connection to teds.tyreplus.com.cn timed out. (connect timeout=10)')) (paymentNo: SI2504160329323760)\n" ] } ], - "execution_count": 5 + "execution_count": 3 }, { "metadata": {}, diff --git a/张阳脚本/竞品系统数据导出/美孚（孚创）导出.ipynb b/张阳脚本/竞品系统数据导出/美孚（孚创）导出.ipynb index 2d903c5..42e63b9 100644 --- a/张阳脚本/竞品系统数据导出/美孚（孚创）导出.ipynb +++ b/张阳脚本/竞品系统数据导出/美孚（孚创）导出.ipynb @@ -12,8 +12,8 @@ "metadata": { "collapsed": true, "ExecuteTime": { - "end_time": "2026-01-06T01:50:04.573176600Z", - "start_time": "2026-01-06T01:41:33.836804400Z" + "end_time": "2026-05-12T06:14:49.072001900Z", + "start_time": "2026-05-12T06:08:51.739974700Z" } }, "source": [ @@ -22,13 +22,13 @@ "from tqdm import tqdm\n", "\n", "cookies = {\n", - " 'MD_accessToken': '6864ddf5-fa96-466f-b228-f2621516a2bf',\n", + " 'MD_accessToken': '2701b3d9-c959-4bfc-ad17-0a9b3f237f75',\n", "}\n", "\n", "headers = {\n", " 'Accept': 'application/json, text/plain, */*',\n", " 'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6',\n", - " 'Authorization': 'Bearer6864ddf5-fa96-466f-b228-f2621516a2bf',\n", + " 'Authorization': 'Bearer2701b3d9-c959-4bfc-ad17-0a9b3f237f75',\n", " 'Connection': 'keep-alive',\n", " 'Content-Type': 'application/json;charset=UTF-8',\n", " 'Origin': 'https://store.fuchuang.com',\n", @@ -36,20 +36,18 @@ " 'Sec-Fetch-Dest': 'empty',\n", " 'Sec-Fetch-Mode': 'cors',\n", " 'Sec-Fetch-Site': 'same-origin',\n", - " 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36 Edg/143.0.0.0',\n", - " 'X-FC-TRACE-ID': '0924ec43dfae4ba48176700dee39833b',\n", + " 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/147.0.0.0 Safari/537.36 Edg/147.0.0.0',\n", + " 'X-FC-TRACE-ID': '3b644c0201c34c6cbb4333f57367e40b',\n", " 'loginPlatform': 'store_pc',\n", " 'platform': 'store_pc',\n", " 'searchInfo': '%E5%AE%A2%E6%88%B7%E8%BD%A6%E8%BE%86,%E5%AE%A2%E6%88%B7%E7%AE%A1%E7%90%86,%E6%9F%A5%E8%AF%A2',\n", - " 'sec-ch-ua': '\"Microsoft Edge\";v=\"143\", \"Chromium\";v=\"143\", \"Not A(Brand\";v=\"24\"',\n", + " 'sec-ch-ua': '\"Microsoft Edge\";v=\"147\", \"Not.A/Brand\";v=\"8\", \"Chromium\";v=\"147\"',\n", " 'sec-ch-ua-mobile': '?0',\n", " 'sec-ch-ua-platform': '\"Windows\"',\n", - " 'user-info-wms': '{\"token\":\"Bearer6864ddf5-fa96-466f-b228-f2621516a2bf\",\"platform\":\"store_pc\"}',\n", + " 'user-info-wms': '{\"token\":\"Bearer2701b3d9-c959-4bfc-ad17-0a9b3f237f75\",\"platform\":\"store_pc\"}',\n", " 'x-fc-client': 'web',\n", - " # 'Cookie': 'MD_accessToken=6864ddf5-fa96-466f-b228-f2621516a2bf',\n", + " # 'Cookie': 'MD_accessToken=2701b3d9-c959-4bfc-ad17-0a9b3f237f75',\n", "}\n", - "\n", - "\n", "json_data = {\n", " 'phone': '',\n", " 'name': '',\n", @@ -63,7 +61,7 @@ "}\n", "\n", "all_data = []\n", - "for i in tqdm(range(1, 758)):\n", + "for i in tqdm(range(1, 486)):\n", " json_data['pageNum'] = i\n", " response = requests.post(\n", " 'https://store.fuchuang.com/api/store-crm/crm/customer/query',\n", @@ -88,13 +86,13 @@ "text": [ "<>:63: SyntaxWarning: invalid escape sequence '\\I'\n", "<>:63: SyntaxWarning: invalid escape sequence '\\I'\n", - "C:\\Users\\hp_z66\\AppData\\Local\\Temp\\ipykernel_31392\\364108658.py:63: SyntaxWarning: invalid escape sequence '\\I'\n", + "C:\\Users\\hp_z66\\AppData\\Local\\Temp\\ipykernel_14680\\526967017.py:63: SyntaxWarning: invalid escape sequence '\\I'\n", " df.to_excel('D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\美孚客户信息.xlsx', index=False)\n", - "100%|██████████| 757/757 [08:25<00:00, 1.50it/s]\n" + "100%|██████████| 485/485 [05:54<00:00, 1.37it/s]\n" ] } ], - "execution_count": 1 + "execution_count": 13 }, { "metadata": {}, @@ -105,8 +103,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-01-06T06:59:53.687706100Z", - "start_time": "2026-01-06T05:40:36.873045Z" + "end_time": "2026-05-12T07:23:39.540370100Z", + "start_time": "2026-05-12T06:31:05.220043700Z" } }, "cell_type": "code", @@ -116,34 +114,36 @@ "from tqdm.notebook import tqdm\n", "import pandas as pd\n", "cookies = {\n", - " 'MD_accessToken': '6864ddf5-fa96-466f-b228-f2621516a2bf',\n", + " 'acw_tc': '0a0572c017785673680518302e62de2d436dcebb15d1ca5dd604f3df26743b',\n", + " 'MD_accessToken': 'fc95ef0c-1929-4fa3-95b9-2fdfd56af0eb',\n", "}\n", "\n", "headers = {\n", " 'Accept': 'application/json, text/plain, */*',\n", - " 'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6',\n", - " 'Authorization': 'Bearer6864ddf5-fa96-466f-b228-f2621516a2bf',\n", + " 'Accept-Language': 'zh-CN,zh;q=0.9',\n", + " 'Authorization': 'Bearerfc95ef0c-1929-4fa3-95b9-2fdfd56af0eb',\n", " 'Connection': 'keep-alive',\n", " 'Content-Type': 'application/json;charset=UTF-8',\n", " 'Origin': 'https://store.fuchuang.com',\n", - " 'Referer': 'https://store.fuchuang.com/store/',\n", + " 'Referer': 'https://store.fuchuang.com/store/index.html',\n", " 'Sec-Fetch-Dest': 'empty',\n", " 'Sec-Fetch-Mode': 'cors',\n", " 'Sec-Fetch-Site': 'same-origin',\n", - " 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36 Edg/143.0.0.0',\n", - " 'X-FC-TRACE-ID': 'a26acd1fe3c5460e890e80c8ad88a6da',\n", + " 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/147.0.0.0 Safari/537.36 Edg/147.0.0.0',\n", + " 'X-FC-TRACE-ID': '29cb0c9ab8904d85b54f1b1bb3ae33b5',\n", " 'loginPlatform': 'store_pc',\n", " 'platform': 'store_pc',\n", - " 'sec-ch-ua': '\"Microsoft Edge\";v=\"143\", \"Chromium\";v=\"143\", \"Not A(Brand\";v=\"24\"',\n", + " 'sec-ch-ua': '\"Microsoft Edge\";v=\"147\", \"Not.A/Brand\";v=\"8\", \"Chromium\";v=\"147\"',\n", " 'sec-ch-ua-mobile': '?0',\n", " 'sec-ch-ua-platform': '\"Windows\"',\n", - " 'user-info-wms': '{\"token\":\"Bearer6864ddf5-fa96-466f-b228-f2621516a2bf\",\"platform\":\"store_pc\"}',\n", + " 'user-info-wms': '{\"token\":\"Bearerfc95ef0c-1929-4fa3-95b9-2fdfd56af0eb\",\"platform\":\"store_pc\"}',\n", " 'x-fc-client': 'web',\n", - " # 'Cookie': 'MD_accessToken=6864ddf5-fa96-466f-b228-f2621516a2bf',\n", + " # 'Cookie': 'acw_tc=0a0572c017785673680518302e62de2d436dcebb15d1ca5dd604f3df26743b; MD_accessToken=fc95ef0c-1929-4fa3-95b9-2fdfd56af0eb',\n", "}\n", - "df1 = pd.read_excel('D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\美孚客户信息.xlsx', sheet_name =0)\n", + "\n", + "df1 = pd.read_excel(r'D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\美孚客户信息.xlsx', sheet_name =0)\n", "detail_list = []\n", - "start_index = 2658\n", + "start_index = 0\n", "for index, row in tqdm(df1.iterrows(), total=len(df1)):\n", " params = {\n", " 'id': row[\"id\"],\n", @@ -158,6 +158,7 @@ " headers=headers,\n", " json=json_data,\n", " )\n", + "\n", " detail_list.append(response.json()['data'])\n", " except Exception as e:\n", " print(e)\n", @@ -173,25 +174,21 @@ "name": "stderr", "output_type": "stream", "text": [ - "<>:31: SyntaxWarning: invalid escape sequence '\\I'\n", - "<>:55: SyntaxWarning: invalid escape sequence '\\I'\n", - "<>:31: SyntaxWarning: invalid escape sequence '\\I'\n", - "<>:55: SyntaxWarning: invalid escape sequence '\\I'\n", - "C:\\Users\\hp_z66\\AppData\\Local\\Temp\\ipykernel_31392\\1770658545.py:31: SyntaxWarning: invalid escape sequence '\\I'\n", - " df1 = pd.read_excel('D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\美孚客户信息.xlsx', sheet_name =0)\n", - "C:\\Users\\hp_z66\\AppData\\Local\\Temp\\ipykernel_31392\\1770658545.py:55: SyntaxWarning: invalid escape sequence '\\I'\n", + "<>:58: SyntaxWarning: invalid escape sequence '\\I'\n", + "<>:58: SyntaxWarning: invalid escape sequence '\\I'\n", + "C:\\Users\\hp_z66\\AppData\\Local\\Temp\\ipykernel_14680\\3627701310.py:58: SyntaxWarning: invalid escape sequence '\\I'\n", " df2.to_excel('D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\美孚客户信息明细1.xlsx', index=False)\n" ] }, { "data": { "text/plain": [ - " 0%| | 0/7567 [00:00:2: SyntaxWarning: invalid escape sequence '\\I'\n", - "<>:2: SyntaxWarning: invalid escape sequence '\\I'\n", - "C:\\Users\\hp_z66\\AppData\\Local\\Temp\\ipykernel_31392\\2944444433.py:2: SyntaxWarning: invalid escape sequence '\\I'\n", - " df2.to_excel('D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\美孚客户信息明细2.xlsx', index=False)\n" + "{'code': 10000, 'message': '操作成功', 'data': {'labelConsumptionType': 2, 'labelActivityType': 1, 'labelEquityCard': 0, 'labelScCard': 0, 'labelTcCard': 0, 'fcCustomerLabels': [{'labelId': 2, 'labelType': 1, 'labelTypeName': '客户类型标签', 'labelValue': 2, 'labelName': '新客'}, {'labelId': 4, 'labelType': 2, 'labelTypeName': '客户活跃度标签', 'labelValue': 1, 'labelName': '活跃'}], 'storeCustomerLabels': [], 'storeCustomerLabelNames': [], 'id': '177849100876200134310619337', 'name': '长安', 'phoneNumber': '15566441231', 'gender': 1, 'birthday': None, 'customerType': 'person', 'customerSource': 'ZRJD', 'sourceChannel': '', 'driverLicenseNumber': '', 'driverLicenseType': 'C1', 'provinceId': None, 'cityId': None, 'countyDistrictId': None, 'provinceName': '', 'cityName': '', 'countyDistrictName': '', 'driverLicenseExpiryDate': None, 'driverLicensePhoto': '', 'address': '', 'customerRemark': '', 'isMember': 0, 'mallUser': 0, 'commonUserId': 4919522, 'updateTime': '2026-05-11 17:18:18', 'creditCycle': 30, 'creditLine': 0.0, 'vehicleResps': [{'id': '177849100876900134310619338', 'customerId': '177849100876200134310619337', 'carNum': '赣E116Q0', 'drivenDistance': 0, 'licensePlateFlag': '赣', 'licensePlateNumber': 'E116Q0', 'vehicleModel': '长安 长安汽车 CS75 2014款 2.0L 手动 2015年产', 'color': '', 'vin': '', 'vehicleType': 'B', 'engine': '', 'lastMaintenanceDate': '2026-05-11 17:18:33', 'nextMaintenanceDate': None, 'nextMaintainMileage': None, 'insuranceCompany': '', 'effectiveDate': None, 'expiryDate': None, 'description': None, 'remark': '', 'carPhoto': 'https://image.fuchuang.com/prod/f29f067f_%E9%95%BF%E5%AE%8920230901112941.png', 'brand': '长安', 'brandType': '', 'carName': '', 'saleName': '长安 CS75 2.0L 手动', 'paiLiang': '', 'avgPrice': 12.58, 'tireSize': '', 'annualInspectionDate': None, 'commonVehicleId': 3690941, 'storeMallVehicleId': None, 'fid': 0, 'fidCode': '', 'year': '2015', 'gearboxCode': '1', 'gearboxType': '手动', 'levelName': 'CS75', 'seriesId': 216, 'seriesName': 'CS75', 'updateTime': '2026-05-11 17:18:18', 'vid': 95750, 'modelYear': 2014, 'powerVersion': '', 'energyVersion': '', 'saleModel': '', 'displacementType': '2.0L', 'brandId': 207, 'vendorName': '长安汽车', 'vendorId': 204, 'carInfo': '2014款 2.0L 手动 2015年产', 'yearText': '2015年产', 'isVip': None, 'insuranceVehicleId': None, 'energyType': 1, 'energyTypeName': '汽油', 'status': 1}], 'storeMallUser': 0}, 'detail': None, 'trace': None, 'success': True}\n" ] } ], - "execution_count": 7 + "execution_count": 19 } ], "metadata": { diff --git a/张阳脚本/简道云刷数据/宜搭附件迁移简道云.ipynb b/张阳脚本/简道云刷数据/宜搭附件迁移简道云.ipynb index 6d7d354..09d218a 100644 --- a/张阳脚本/简道云刷数据/宜搭附件迁移简道云.ipynb +++ b/张阳脚本/简道云刷数据/宜搭附件迁移简道云.ipynb @@ -10,120 +10,13 @@ }, { "cell_type": "code", - "execution_count": 1, "id": "479a84ce", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "🔍 正在扫描所有文件...\n", - "✅ 共找到 66 个实例，总计 90 个文件\n", - "📁 正在生成批次 1: C:\\Users\\hp_z66\\OneDrive\\Desktop\\新建文件夹\\FPO提交_20260207112107_resources_1\\输出_1\n", - "[Batch 1] ✅ FINST-0CC662718BILO83CEX5TJ4OXZP2C3X1PCLRWLFGL.png\n", - "[Batch 1] ✅ FINST-0D866I81JANY5WG8A2DT15S63HZH20YFR68FMQJA.png\n", - "[Batch 1] ✅ FINST-0HD66Z81DFXYBP816VRKD6S2HA2H3RYCBYKFMR6.jpg\n", - "[Batch 1] ✅ FINST-3MF66MB1C62UYQ70B6VFWCC72LWD3WFATRQ8MJF1.jpg\n", - "[Batch 1] ✅ FINST-3RB66I91KLXKFLFLFENM3DP0BQER2D0BEAXVLS11.xlsx\n", - "[Batch 1] ✅ FINST-3SC66EA1POUU8OOK7YW2GDJEKD972XTSC1V9MCB1.png\n", - "[Batch 1] ✅ FINST-42766EA129TVP57F6HGFPAATXT4K2J17LS7BMPS2.png\n", - "[Batch 1] ✅ FINST-54A66HC1426KP5L87MXEA682I67O23YKVXUUL9U9.jpg\n", - "[Batch 1] ✅ FINST-54A66HC1BDILGOIO8D24RCKSUXOU2641DLRWLFY5.png\n", - "[Batch 1] ✅ 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"[Batch 2] ✅ FINST-KW866QB13VPZ5OSE9CE0LAWVKEO23QA4XVOGM92.jpg\n", - "[Batch 2] ✅ FINST-LLA66D71DDUN56UUBRVZVD2EO3TS291ZDU00M734.png\n", - "[Batch 2] ✅ FINST-NLD66NA171BT4QDDCKR6HBD8XSHG3UJ1FSP7MJ39.png\n", - "[Batch 2] ✅ FINST-PF866EA1IKDECQEC8I8IECI2W3YI38JSXOPMLP8.jpg\n", - "📁 正在生成批次 3: C:\\Users\\hp_z66\\OneDrive\\Desktop\\新建文件夹\\FPO提交_20260207112107_resources_1\\输出_3\n", - "[Batch 3] ✅ FINST-65D66X71VHAPFNPZ9OFURCIREZAS28FI7P12MJS.png\n", - "[Batch 3] ✅ FINST-J0A66981DAZDOPI7EF20N91K9UM72O8N526MLZO2.png\n", - "📁 正在生成批次 4: C:\\Users\\hp_z66\\OneDrive\\Desktop\\新建文件夹\\FPO提交_20260207112107_resources_1\\输出_4\n", - "[Batch 4] ✅ FINST-J0A66981DAZDOPI7EF20N91K9UM72O8N526MLZO2.png\n", - "📁 正在生成批次 5: C:\\Users\\hp_z66\\OneDrive\\Desktop\\新建文件夹\\FPO提交_20260207112107_resources_1\\输出_5\n", - "[Batch 5] ✅ FINST-J0A66981DAZDOPI7EF20N91K9UM72O8N526MLZO2.png\n", - "📁 正在生成批次 6: C:\\Users\\hp_z66\\OneDrive\\Desktop\\新建文件夹\\FPO提交_20260207112107_resources_1\\输出_6\n", - "[Batch 6] ✅ FINST-J0A66981DAZDOPI7EF20N91K9UM72O8N526MLZO2.png\n", - "📁 正在生成批次 7: C:\\Users\\hp_z66\\OneDrive\\Desktop\\新建文件夹\\FPO提交_20260207112107_resources_1\\输出_7\n", - "[Batch 7] ✅ FINST-J0A66981DAZDOPI7EF20N91K9UM72O8N526MLZO2.png\n", - "📁 正在生成批次 8: C:\\Users\\hp_z66\\OneDrive\\Desktop\\新建文件夹\\FPO提交_20260207112107_resources_1\\输出_8\n", - "[Batch 8] ✅ FINST-J0A66981DAZDOPI7EF20N91K9UM72O8N526MLZO2.png\n", - "📁 正在生成批次 9: C:\\Users\\hp_z66\\OneDrive\\Desktop\\新建文件夹\\FPO提交_20260207112107_resources_1\\输出_9\n", - "[Batch 9] ✅ FINST-J0A66981DAZDOPI7EF20N91K9UM72O8N526MLZO2.png\n", - "\n", - "🎉 处理完成！共生成 9 个批次文件夹。\n" - ] + "metadata": { + "ExecuteTime": { + "end_time": "2026-04-18T03:34:19.039797100Z", + "start_time": "2026-04-18T03:34:18.737330Z" } - ], + }, "source": [ "import os\n", "import shutil\n", @@ -131,7 +24,7 @@ "import hashlib\n", "\n", "# 配置\n", - "root_path = r\"C:\\Users\\hp_z66\\OneDrive\\Desktop\\新建文件夹\\FPO提交_20260207112107_resources_1\"\n", + "root_path = r\"C:\\Users\\hp_z66\\Desktop\\2026-4-18智数\\FPO提交_20260418093857_resources_1\"\n", "\n", "# 存储：{finst_id: [file_path1, file_path2, ...]}\n", "instance_files = {}\n", @@ -207,7 +100,122 @@ " print(f\"[Batch {batch_index}] ❌ 复制失败: {e}\")\n", "\n", "print(f\"\\n🎉 处理完成！共生成 {max_rounds} 个批次文件夹。\")" - ] + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🔍 正在扫描所有文件...\n", + "✅ 共找到 68 个实例，总计 93 个文件\n", + "📁 正在生成批次 1: C:\\Users\\hp_z66\\Desktop\\2026-4-18智数\\FPO提交_20260418093857_resources_1\\输出_1\n", + "[Batch 1] ✅ FINST-0CC662718BILO83CEX5TJ4OXZP2C3X1PCLRWLFGL.png\n", + "[Batch 1] ✅ FINST-0D866I81JANY5WG8A2DT15S63HZH20YFR68FMQJA.png\n", + "[Batch 1] ✅ FINST-0HD66Z81DFXYBP816VRKD6S2HA2H3RYCBYKFMR6.jpg\n", + "[Batch 1] ✅ FINST-3MF66MB1C62UYQ70B6VFWCC72LWD3WFATRQ8MJF1.jpg\n", + "[Batch 1] ✅ FINST-3RB66I91KLXKFLFLFENM3DP0BQER2D0BEAXVLS11.xlsx\n", + "[Batch 1] ✅ FINST-3SC66EA1POUU8OOK7YW2GDJEKD972XTSC1V9MCB1.png\n", + "[Batch 1] ✅ 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FINST-WSF66J812FUXCO5ZCWI70C2TW7TG2OMS0F2EMAP1.png\n", + "[Batch 1] ✅ FINST-WSF66J818UYXDCKS8IZ7K50QAGNH2K3MJG8EMJP1.xlsx\n", + "[Batch 1] ✅ FINST-WYG66T718EQ0Z4TMNO8P2CRTS6NE3EUF016IMSDA.pptx\n", + "[Batch 1] ✅ FINST-Z6966NB14IDEWL268Y71A8FOS0HD2ROSG3QMLGZ3.mp4\n", + "[Batch 1] ✅ FINST-ZH866O918DRFX8WWEBEDSBMRTNU93TRYXNNOLVY.jpg\n", + "[Batch 1] ✅ FINST-ZKD66Q71XPBRGBVI8Z5FGCIWR2KS2NCI9TZ4MQ5L.xlsx\n", + "📁 正在生成批次 2: C:\\Users\\hp_z66\\Desktop\\2026-4-18智数\\FPO提交_20260418093857_resources_1\\输出_2\n", + "[Batch 2] ✅ FINST-0D866I81JANY5WG8A2DT15S63HZH20YFR68FMQJA.png\n", + "[Batch 2] ✅ FINST-0HD66Z81DFXYBP816VRKD6S2HA2H3RYCBYKFMR6.jpg\n", + "[Batch 2] ✅ FINST-54A66HC1426KP5L87MXEA682I67O23YKVXUUL9U9.jpg\n", + "[Batch 2] ✅ FINST-65D66X71VHAPFNPZ9OFURCIREZAS28FI7P12MJS.jpg\n", + "[Batch 2] ✅ FINST-9FA66WC1LDJNFROD7HJUI4OJ6C2J22UP25SZLUQA.jpg\n", + "[Batch 2] ✅ FINST-BL866S61XU8DOZG5BZ6E4DZ2UOIV3B6CEHALL3QI.png\n", + "[Batch 2] ✅ FINST-ETA66681ZAHDHL2OA0MQR6UB9W5N2MZM2DGLLU2.xlsx\n", + "[Batch 2] ✅ FINST-F1A66381S5V32I1PLLIAICDBX2EW3SS3NUIMMJX4.png\n", + "[Batch 2] ✅ FINST-HRD66W919462UFW0NG4PODHZZUW63074RZAKM1DK.png\n", + "[Batch 2] ✅ FINST-IQC66GC18W4YQ8GSCL23T582HU1H3960PVGEML8.png\n", + "[Batch 2] ✅ FINST-J0A66981DAZDOPI7EF20N91K9UM72O8N526MLZO2.png\n", + "[Batch 2] ✅ FINST-J3D66LA13NTHEZAICABNRCD3KVCY222Q7IORL7UD.xlsx\n", + "[Batch 2] ✅ FINST-K7E66Z91F5NYOC0UD20BO775JN8C3D763K6FM16.xlsx\n", + "[Batch 2] ✅ FINST-KW866QB13VPZ5OSE9CE0LAWVKEO23QA4XVOGM92.jpg\n", + "[Batch 2] ✅ FINST-LLA66D71DDUN56UUBRVZVD2EO3TS291ZDU00M734.png\n", + "[Batch 2] ✅ FINST-NLD66NA171BT4QDDCKR6HBD8XSHG3UJ1FSP7MJ39.png\n", + "[Batch 2] ✅ FINST-PF866EA1IKDECQEC8I8IECI2W3YI38JSXOPMLP8.jpg\n", + "📁 正在生成批次 3: C:\\Users\\hp_z66\\Desktop\\2026-4-18智数\\FPO提交_20260418093857_resources_1\\输出_3\n", + "[Batch 3] ✅ FINST-65D66X71VHAPFNPZ9OFURCIREZAS28FI7P12MJS.png\n", + "[Batch 3] ✅ FINST-J0A66981DAZDOPI7EF20N91K9UM72O8N526MLZO2.png\n", + "📁 正在生成批次 4: C:\\Users\\hp_z66\\Desktop\\2026-4-18智数\\FPO提交_20260418093857_resources_1\\输出_4\n", + "[Batch 4] ✅ FINST-J0A66981DAZDOPI7EF20N91K9UM72O8N526MLZO2.png\n", + "📁 正在生成批次 5: C:\\Users\\hp_z66\\Desktop\\2026-4-18智数\\FPO提交_20260418093857_resources_1\\输出_5\n", + "[Batch 5] ✅ FINST-J0A66981DAZDOPI7EF20N91K9UM72O8N526MLZO2.png\n", + "📁 正在生成批次 6: C:\\Users\\hp_z66\\Desktop\\2026-4-18智数\\FPO提交_20260418093857_resources_1\\输出_6\n", + "[Batch 6] ✅ FINST-J0A66981DAZDOPI7EF20N91K9UM72O8N526MLZO2.png\n", + "📁 正在生成批次 7: C:\\Users\\hp_z66\\Desktop\\2026-4-18智数\\FPO提交_20260418093857_resources_1\\输出_7\n", + "[Batch 7] ✅ FINST-J0A66981DAZDOPI7EF20N91K9UM72O8N526MLZO2.png\n", + "📁 正在生成批次 8: C:\\Users\\hp_z66\\Desktop\\2026-4-18智数\\FPO提交_20260418093857_resources_1\\输出_8\n", + "[Batch 8] ✅ FINST-J0A66981DAZDOPI7EF20N91K9UM72O8N526MLZO2.png\n", + "📁 正在生成批次 9: C:\\Users\\hp_z66\\Desktop\\2026-4-18智数\\FPO提交_20260418093857_resources_1\\输出_9\n", + "[Batch 9] ✅ FINST-J0A66981DAZDOPI7EF20N91K9UM72O8N526MLZO2.png\n", + "\n", + "🎉 处理完成！共生成 9 个批次文件夹。\n" + ] + } + ], + "execution_count": 2 }, { "cell_type": "markdown", @@ -219,34 +227,13 @@ }, { "cell_type": "code", - "execution_count": 4, "id": "90309f69", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "🔍 正在扫描所有文件...\n", - "✅ 共找到 9 个文件，分属：附件、图片、其他\n", - "\n", - "📦 处理类别: 附件 (共 1 批)\n", - "[附件 Batch 1] ✅ FINST-56B66Q91XU6TMONCFZBLBCVK9MS03SSG3SI7MR1.pdf\n", - "[附件 Batch 1] ✅ FINST-C98664A1A8XJTVAW9W0256C4AF5S2JIWPBIULNM3.pdf\n", - "[附件 Batch 1] ✅ FINST-JZ766R91YWUW0FZ6CXRXSBAVXQ0J2ZOZEEOCMGA.pdf\n", - "[附件 Batch 1] ✅ FINST-R3D664B1B7ZYYR569QITJB9VCZXT2B8WIUNFM4X2.xlsx\n", - "[附件 Batch 1] ✅ FINST-RC966V713AMLLTHG8M1UBD6OK7EG3M3PWTYWLQYL.pdf\n", - "[附件 Batch 1] ✅ FINST-SUC66KA1UDIL18KXAMFCK9PW64XN375YHFQWLLC.pdf\n", - "[附件 Batch 1] ✅ FINST-TM966BD1Y9HK1YK1BFUOL9IO9TSI3WK4G6CVLS45.xlsx\n", - "[附件 Batch 1] ✅ FINST-ZKD66Q719O2TZRLY5HZJNAFGJW2F2IE4JYC7M0F.jpg\n", - "\n", - "📦 处理类别: 图片 (共 1 批)\n", - "[图片 Batch 1] ✅ FINST-SUC66KA1C5YJQ4NNAKAGHBOOPPFQ3QX7EJQULEKV1.jpg\n", - "\n", - "🎉 所有类别处理完成！\n" - ] + "metadata": { + "ExecuteTime": { + "end_time": "2026-04-18T07:04:36.512416200Z", + "start_time": "2026-04-18T07:04:36.466302Z" } - ], + }, "source": [ "import os\n", "import shutil\n", @@ -254,7 +241,7 @@ "import hashlib\n", "\n", "# 配置\n", - "root_path = r\"C:\\Users\\hp_z66\\OneDrive\\Desktop\\新建文件夹\\商机提交_20260209161647_resources_1\"\n", + "root_path = r\"C:\\Users\\hp_z66\\Desktop\\2026-4-18智数\\商机提交_20260418093735_resources_1\"\n", "\n", "# 分类存储：{\"附件\": {finst_id: [file1, file2, ...]}, \"图片\": {...}, \"其他\": {...}}\n", "categorized_files = {\n", @@ -361,7 +348,33 @@ " print(f\"[{category_name} Batch {batch_index}] ❌ 复制失败: {e}\")\n", "\n", "print(f\"\\n🎉 所有类别处理完成！\")" - ] + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🔍 正在扫描所有文件...\n", + "✅ 共找到 9 个文件，分属：附件、图片、其他\n", + "\n", + "📦 处理类别: 附件 (共 1 批)\n", + "[附件 Batch 1] ✅ FINST-56B66Q91XU6TMONCFZBLBCVK9MS03SSG3SI7MR1.pdf\n", + "[附件 Batch 1] ✅ FINST-C98664A1A8XJTVAW9W0256C4AF5S2JIWPBIULNM3.pdf\n", + "[附件 Batch 1] ✅ FINST-JZ766R91YWUW0FZ6CXRXSBAVXQ0J2ZOZEEOCMGA.pdf\n", + "[附件 Batch 1] ✅ FINST-R3D664B1B7ZYYR569QITJB9VCZXT2B8WIUNFM4X2.xlsx\n", + "[附件 Batch 1] ✅ FINST-RC966V713AMLLTHG8M1UBD6OK7EG3M3PWTYWLQYL.pdf\n", + "[附件 Batch 1] ✅ FINST-SUC66KA1UDIL18KXAMFCK9PW64XN375YHFQWLLC.pdf\n", + "[附件 Batch 1] ✅ FINST-TM966BD1Y9HK1YK1BFUOL9IO9TSI3WK4G6CVLS45.xlsx\n", + "[附件 Batch 1] ✅ FINST-ZKD66Q719O2TZRLY5HZJNAFGJW2F2IE4JYC7M0F.jpg\n", + "\n", + "📦 处理类别: 图片 (共 1 批)\n", + "[图片 Batch 1] ✅ FINST-SUC66KA1C5YJQ4NNAKAGHBOOPPFQ3QX7EJQULEKV1.jpg\n", + "\n", + "🎉 所有类别处理完成！\n" + ] + } + ], + "execution_count": 6 } ], "metadata": {