{ "cells": [ { "metadata": {}, "cell_type": "markdown", "source": "好店长消费流水\n" }, { "cell_type": "code", "metadata": { "ExecuteTime": { "end_time": "2025-02-08T04:58:09.915448Z", "start_time": "2025-02-08T03:43:32.154990Z" } }, "source": [ "import pandas as pd\n", "import requests\n", "import time\n", "import json\n", "import math\n", "import xlrd\n", "from pprint import pprint\n", "from tqdm import tqdm\n", "\n", "headers = {\n", " 'authority': 'api.365hdz.com',\n", " 'method': 'POST',\n", " 'path': '/identity/hdz/income/data.js',\n", " 'scheme': 'https',\n", " 'accept': 'application/json, text/javascript, */*; q=0.01',\n", " 'accept-encoding': 'gzip, deflate, br, zstd',\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': 'bearer f7bf919e-1bec-4244-86b9-0dd2b6942162',\n", " 'clienttype': 'GOOD_MANAGER_PRO',\n", " 'content-length': '245',\n", " 'content-type': 'application/x-www-form-urlencoded; charset=UTF-8',\n", " 'origin': 'https://vip.365hdz.com',\n", " 'priority': 'u=1, i',\n", " 'referer': 'https://vip.365hdz.com/',\n", " 'sec-ch-ua': '\"Chromium\";v=\"130\", \"Microsoft Edge\";v=\"130\", \"Not?A_Brand\";v=\"99\"',\n", " 'sec-ch-ua-mobile': '?0',\n", " 'sec-ch-ua-platform': '\"Windows\"',\n", " 'sec-fetch-dest': 'empty',\n", " 'sec-fetch-mode': 'cors',\n", " 'sec-fetch-site': 'same-site',\n", " 'storeid': 'c1a6a754864d449fb03fe913f41b8f5e', # 修改\n", " 'storename': '%E4%B8%8B%E5%A1%98%E8%80%81%E5%85%B5%E6%B1%BD%E8%BD%A6%E6%9C%8D%E5%8A%A1%E4%B8%AD%E5%BF%83',\n", " # 修改，注意storename为店铺名称，登录失败试一下手动转码\n", " 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36 Edg/130.0.0.0',\n", " 'x-client-id': 'HDZ_PRO_PC'\n", "}\n", "\n", "# 创建一个空的DataFrame\n", "all_data = pd.DataFrame()\n", "start = 13770\n", "page = 1530\n", "for i in tqdm(range(3008, 6926)):\n", " json1 = {\n", " 'draw': 25,\n", " 'start': start,\n", " 'length': 9,\n", " 'desc': 'false',\n", " 'page': page,\n", " 'size': 9,\n", " 'sourceHdzId': '59dd3d9f68344b9ebaf4e306ad1816e9', # 修改\n", " 'paymentType': '',\n", " 'midDate': '2009-01-01 00:00:00',\n", " 'endDate': '2024-12-27 23:59:59',\n", " 'sourceType': '',\n", " 'customerName': '',\n", " 'customerPhone': '',\n", " 'customerLicensePlate': '',\n", " 'sourceName': ''\n", " }\n", " url = 'https://api.365hdz.com/identity/hdz/income/data.js'\n", " res1 = requests.post(url, headers=headers, data=json1)\n", " strele1 = res1.json()\n", " start = start + 9\n", " page = page + 1\n", " for a in range(0, 9):\n", " data_list = [strele1['data'][a]]\n", " df_new1 = pd.DataFrame(data_list)\n", " # 将当前接口的数据添加到总数据中\n", " all_data = all_data._append(df_new1, ignore_index=True)\n", " # print(i)\n", " time.sleep(1)\n", "all_data.to_excel(r'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\好店长消费流水1-15212771219.xlsx')\n", "\n", "# all_data.to_excel(r'C:\\Users\\admin\\Downloads\\好店长消费流水,{}.xlsx'.format(page))\n", "\n" ], "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ " 66%|██████▌ | 2592/3918 [1:14:37<38:10, 1.73s/it]\n" ] }, { "ename": "IndexError", "evalue": "list index out of range", "output_type": "error", "traceback": [ "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", "\u001B[1;31mIndexError\u001B[0m Traceback (most recent call last)", "Cell \u001B[1;32mIn[11], line 64\u001B[0m\n\u001B[0;32m 62\u001B[0m page \u001B[38;5;241m=\u001B[39m page \u001B[38;5;241m+\u001B[39m \u001B[38;5;241m1\u001B[39m\n\u001B[0;32m 63\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m a \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mrange\u001B[39m(\u001B[38;5;241m0\u001B[39m,\u001B[38;5;241m9\u001B[39m):\n\u001B[1;32m---> 64\u001B[0m data_list \u001B[38;5;241m=\u001B[39m [strele1[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mdata\u001B[39m\u001B[38;5;124m'\u001B[39m][a]]\n\u001B[0;32m 65\u001B[0m df_new1 \u001B[38;5;241m=\u001B[39m pd\u001B[38;5;241m.\u001B[39mDataFrame(data_list)\n\u001B[0;32m 66\u001B[0m \u001B[38;5;66;03m# 将当前接口的数据添加到总数据中\u001B[39;00m\n", "\u001B[1;31mIndexError\u001B[0m: list index out of range" ] } ], "execution_count": 11 }, { "cell_type": "code", "metadata": { "ExecuteTime": { "end_time": "2025-02-08T05:31:46.776813Z", "start_time": "2025-02-08T05:31:31.723504Z" } }, "source": "all_data.to_excel(r'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\好店长消费流水2-15212771219.xlsx')", "outputs": [], "execution_count": 12 }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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idcreateDateTimeupdateDateTimecustomerLicensePlatecustomerNamecustomerPhoneisMemberpaymentAmountpaymentTypesalesChannels...sourceRecordIddeductionAmounttotalAmountcouponIdmemberIdmallOrderIdcouponNameoperatorNamesourceSerialNumberlicensePlateImage
059752532023-12-20 11:42:432023-08-29 16:12:50皖BSQ608安徽紫照建筑节能装饰股份有限公司13855383788True820.0WECHAT_PAYSTORE...eef81256760343f6b567616ea2edd6940.0820.0None742c26f8a61041efb5ccdbfd13d37506NoneNone滕栋银GD20230829161250148WD2WNone
159752262023-12-20 11:36:392023-12-20 11:36:39皖BX5331黄祥阳18949537203True13600.0WECHAT_PAYSTORE...31f08ba597954cbebd404696abf6ad240.013600.0None1bbc937b91da474bb24a177def377608NoneNone滕栋银GD20231028134336297Q62PNone
259752212023-12-20 11:36:132023-12-20 11:36:13皖BHR128许13515538033True2400.0WECHAT_PAYSTORE...fcf165dfb8444eca88c7d933f0fff7550.02400.0None309819bfa2454730b77e9e25c088c78eNoneNone滕栋银GD20231202143857684XMMDNone
359752192023-12-20 11:35:542023-12-20 11:35:54沪BFX298孙总18817929291True260.0WECHAT_PAYSTORE...44d7fb59bd114b1897aac3e196985b9d0.0260.0Nonee6beeb9605054648a19c873a714c5f13NoneNone滕栋银GD20231206131413655UOCKNone
459752182023-12-20 11:35:342023-12-20 11:35:34皖BV6290海军18534558647True2240.0WECHAT_PAYSTORE...60b2dc25b75140f3a306c17bcc6fd6930.02240.0None5a63766fe94843bf88e0e8daec9ea72dNoneNone滕栋银GD20231211143947654YA4ZNone
..................................................................
86149868292019-05-15 18:20:482019-05-15 18:20:48皖BR618H现代13000000000True320.0WECHAT_PAYSTORE...b0f917d3c2124a26ad32aca4a2953e300.0320.0Noneef63008c44494fbdbbfb666404d28b0aNoneNone滕栋银GD20190515182001711TRVBNone
86159867722019-05-15 18:03:222019-05-15 18:03:22浙A9FZ91福特15755381982True510.0WECHAT_PAYSTORE...787cb784dea341dab26da589087264780.0510.0None713a54ab2c184ee9a68a965defdf149bNoneNone滕栋银GD20190515180205496ULJENone
86169867112019-05-15 17:46:362019-05-15 17:46:36皖BSX756陈15255313882True180.0WECHAT_PAYSTORE...7992bb444d904c9485b99f3e1cac8f680.0180.0Nonea847f1fc5e714789a07864f2ff967609NoneNone滕栋银GD20190515173912365FWHBNone
86179853662019-05-15 10:37:422019-05-15 10:37:42皖BW817Y叶先生13955375398True260.0WECHAT_PAYSTORE...c59a4902cbdd441dafcabc64d92996e00.0260.0None30ec6199c2d74085a6e7a79a0e74f372NoneNone滕栋银GD20190515103724308BNVANone
86189889622019-05-04 14:27:592019-05-04 14:27:59皖BFW586马自达18755327782True350.0WECHAT_PAYSTORE...b120f86bc28d4c679e02221e83f4eb240.0350.0Nonea1b11bcffb9c48d396b84024db5dbba1NoneNone滕栋银GD20190516142720311MXJCNone
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8619 rows × 27 columns

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" ], "text/plain": [ " id createDateTime updateDateTime customerLicensePlate \n", "0 5975253 2023-12-20 11:42:43 2023-08-29 16:12:50 皖BSQ608 \\\n", "1 5975226 2023-12-20 11:36:39 2023-12-20 11:36:39 皖BX5331 \n", "2 5975221 2023-12-20 11:36:13 2023-12-20 11:36:13 皖BHR128 \n", "3 5975219 2023-12-20 11:35:54 2023-12-20 11:35:54 沪BFX298 \n", "4 5975218 2023-12-20 11:35:34 2023-12-20 11:35:34 皖BV6290 \n", "... ... ... ... ... \n", "8614 986829 2019-05-15 18:20:48 2019-05-15 18:20:48 皖BR618H \n", "8615 986772 2019-05-15 18:03:22 2019-05-15 18:03:22 浙A9FZ91 \n", "8616 986711 2019-05-15 17:46:36 2019-05-15 17:46:36 皖BSX756 \n", "8617 985366 2019-05-15 10:37:42 2019-05-15 10:37:42 皖BW817Y \n", "8618 988962 2019-05-04 14:27:59 2019-05-04 14:27:59 皖BFW586 \n", "\n", " customerName customerPhone isMember paymentAmount paymentType \n", "0 安徽紫照建筑节能装饰股份有限公司 13855383788 True 820.0 WECHAT_PAY \\\n", "1 黄祥阳 18949537203 True 13600.0 WECHAT_PAY \n", "2 许 13515538033 True 2400.0 WECHAT_PAY \n", "3 孙总 18817929291 True 260.0 WECHAT_PAY \n", "4 海军 18534558647 True 2240.0 WECHAT_PAY \n", "... ... ... ... ... ... \n", "8614 现代 13000000000 True 320.0 WECHAT_PAY \n", "8615 福特 15755381982 True 510.0 WECHAT_PAY \n", "8616 陈 15255313882 True 180.0 WECHAT_PAY \n", "8617 叶先生 13955375398 True 260.0 WECHAT_PAY \n", "8618 马自达 18755327782 True 350.0 WECHAT_PAY \n", "\n", " salesChannels ... sourceRecordId deductionAmount \n", "0 STORE ... eef81256760343f6b567616ea2edd694 0.0 \\\n", "1 STORE ... 31f08ba597954cbebd404696abf6ad24 0.0 \n", "2 STORE ... fcf165dfb8444eca88c7d933f0fff755 0.0 \n", "3 STORE ... 44d7fb59bd114b1897aac3e196985b9d 0.0 \n", "4 STORE ... 60b2dc25b75140f3a306c17bcc6fd693 0.0 \n", "... ... ... ... ... \n", "8614 STORE ... b0f917d3c2124a26ad32aca4a2953e30 0.0 \n", "8615 STORE ... 787cb784dea341dab26da58908726478 0.0 \n", "8616 STORE ... 7992bb444d904c9485b99f3e1cac8f68 0.0 \n", "8617 STORE ... c59a4902cbdd441dafcabc64d92996e0 0.0 \n", "8618 STORE ... b120f86bc28d4c679e02221e83f4eb24 0.0 \n", "\n", " totalAmount couponId memberId mallOrderId \n", "0 820.0 None 742c26f8a61041efb5ccdbfd13d37506 None \\\n", "1 13600.0 None 1bbc937b91da474bb24a177def377608 None \n", "2 2400.0 None 309819bfa2454730b77e9e25c088c78e None \n", "3 260.0 None e6beeb9605054648a19c873a714c5f13 None \n", "4 2240.0 None 5a63766fe94843bf88e0e8daec9ea72d None \n", "... ... ... ... ... \n", "8614 320.0 None ef63008c44494fbdbbfb666404d28b0a None \n", "8615 510.0 None 713a54ab2c184ee9a68a965defdf149b None \n", "8616 180.0 None a847f1fc5e714789a07864f2ff967609 None \n", "8617 260.0 None 30ec6199c2d74085a6e7a79a0e74f372 None \n", "8618 350.0 None a1b11bcffb9c48d396b84024db5dbba1 None \n", "\n", " couponName operatorName sourceSerialNumber licensePlateImage \n", "0 None 滕栋银 GD20230829161250148WD2W None \n", "1 None 滕栋银 GD20231028134336297Q62P None \n", "2 None 滕栋银 GD20231202143857684XMMD None \n", "3 None 滕栋银 GD20231206131413655UOCK None \n", "4 None 滕栋银 GD20231211143947654YA4Z None \n", "... ... ... ... ... \n", "8614 None 滕栋银 GD20190515182001711TRVB None \n", "8615 None 滕栋银 GD20190515180205496ULJE None \n", "8616 None 滕栋银 GD20190515173912365FWHB None \n", "8617 None 滕栋银 GD20190515103724308BNVA None \n", "8618 None 滕栋银 GD20190516142720311MXJC None \n", "\n", "[8619 rows x 27 columns]" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "all_data" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ ":1: UserWarning: Pandas requires version '1.4.3' or newer of 'xlsxwriter' (version '1.3.8' currently installed).\n", " all_data.to_excel(r'C:\\Users\\admin\\Downloads\\好店长消费流水.xlsx')\n" ] } ], "source": [ "all_data.to_excel(r'C:\\Users\\admin\\Downloads\\好店长消费流水.xlsx')" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "ename": "KeyError", "evalue": "'data'", "output_type": "error", "traceback": [ "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", "\u001B[1;31mKeyError\u001B[0m Traceback (most recent call last)", "Cell \u001B[1;32mIn[11], line 1\u001B[0m\n\u001B[1;32m----> 1\u001B[0m strele1[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mdata\u001B[39m\u001B[38;5;124m'\u001B[39m][a]\n", "\u001B[1;31mKeyError\u001B[0m: 'data'" ] } ], "source": [ "strele1['data'][a]" ] }, { "metadata": {}, "cell_type": "markdown", "source": "好店长剩余套餐\n" }, { "cell_type": "code", "metadata": { "ExecuteTime": { "end_time": "2025-02-07T08:34:16.256019Z", "start_time": "2025-02-07T08:34:09.430892Z" } }, "source": [ "import pandas as pd\n", "import requests\n", "import json\n", "import math\n", "import xlrd\n", "from pprint import pprint\n", "from tqdm import tqdm\n", "\n", "headers = {\n", " 'Accept': 'application/json, text/javascript, */*; q=0.01',\n", " 'Accept-Encoding': 'gzip, deflate, br, zstd',\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': 'bearer 971e3757-cecd-47d1-8246-77274fbf3e0e', # 修改\n", " 'Clienttype': 'GOOD_MANAGER_PRO',\n", " 'Content-Length': '199',\n", " 'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',\n", " 'Origin': 'https://vip.365hdz.com',\n", " 'Priority': 'u=1, i',\n", " 'Referer': 'https://vip.365hdz.com/',\n", " 'Sec-Ch-Ua': '\"Not A(Brand\";v=\"8\", \"Chromium\";v=\"132\", \"Microsoft Edge\";v=\"132\"',\n", " 'Sec-Ch-Ua-Mobile': '?0',\n", " 'Sec-Ch-Ua-Platform': '\"Windows\"',\n", " 'Sec-Fetch-Dest': 'empty',\n", " 'Sec-Fetch-Mode': 'cors',\n", " 'Sec-Fetch-Site': 'same-site',\n", " 'Storeid': 'c1a6a754864d449fb03fe913f41b8f5e', # 修改\n", " 'Storename': '%E4%B8%8B%E5%A1%98%E8%80%81%E5%85%B5%E6%B1%BD%E8%BD%A6%E6%9C%8D%E5%8A%A1%E4%B8%AD%E5%BF%83', # 修改\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", " 'X-Client-Id': 'HDZ_PRO_PC'\n", "}\n", "\n", "# 创建一个空的DataFrame\n", "all_data = pd.DataFrame()\n", "start = 0\n", "page = 0\n", "for i in tqdm(range(0, 15)):\n", " json1 = {\n", " 'draw': 11,\n", " 'start': start,\n", " 'length': 11,\n", " 'desc': 'false',\n", " 'page': page,\n", " 'size': 11,\n", " 'sourceHdzId': 'c1a6a754864d449fb03fe913f41b8f5e',\n", " 'paymentType': '',\n", " 'midDate': '2009-01-01 00:00:00',\n", " 'endDate': '2024-08-24 23:59:59',\n", " 'sourceType': '',\n", " 'customerName': '',\n", " 'customerPhone': '',\n", " 'customerLicensePlate': '',\n", " 'sourceName': ''\n", " }\n", " url = 'https://api.365hdz.com/basic/customers/countercardlist/data.js'\n", " res1 = requests.post(url, headers=headers, data=json1)\n", " strele1 = res1.json()\n", " start = start + 11\n", " page = page + 1\n", " for a in range(0, 11):\n", " data_list = [strele1['data'][a]]\n", " df_new1 = pd.DataFrame(data_list)\n", " # 将当前接口的数据添加到总数据中\n", " all_data = all_data._append(df_new1, ignore_index=True)\n", " # print(i)\n", "all_data.to_excel(r'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\好店长剩余套餐-15212771219.xlsx')\n", "\n", "# all_data.to_excel(r'C:\\Users\\admin\\Downloads\\好店长消费流水,{}.xlsx'.format(page))\n", "\n" ], "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ " 60%|██████ | 9/15 [00:06<00:04, 1.34it/s]\n" ] }, { "ename": "IndexError", "evalue": "list index out of range", "output_type": "error", "traceback": [ "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", "\u001B[1;31mIndexError\u001B[0m Traceback (most recent call last)", "Cell \u001B[1;32mIn[4], line 60\u001B[0m\n\u001B[0;32m 58\u001B[0m page \u001B[38;5;241m=\u001B[39m page \u001B[38;5;241m+\u001B[39m \u001B[38;5;241m1\u001B[39m\n\u001B[0;32m 59\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m a \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mrange\u001B[39m(\u001B[38;5;241m0\u001B[39m,\u001B[38;5;241m11\u001B[39m):\n\u001B[1;32m---> 60\u001B[0m data_list \u001B[38;5;241m=\u001B[39m [strele1[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mdata\u001B[39m\u001B[38;5;124m'\u001B[39m][a]]\n\u001B[0;32m 61\u001B[0m df_new1 \u001B[38;5;241m=\u001B[39m pd\u001B[38;5;241m.\u001B[39mDataFrame(data_list)\n\u001B[0;32m 62\u001B[0m \u001B[38;5;66;03m# 将当前接口的数据添加到总数据中\u001B[39;00m\n", "\u001B[1;31mIndexError\u001B[0m: list index out of range" ] } ], "execution_count": 4 }, { "cell_type": "code", "metadata": { "ExecuteTime": { "end_time": "2025-02-07T08:34:30.411437Z", "start_time": "2025-02-07T08:34:30.116759Z" } }, "source": "all_data.to_excel(r'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\好店长剩余套餐-15212771219.xlsx')", "outputs": [], "execution_count": 5 }, { "cell_type": "code", "metadata": { "ExecuteTime": { "end_time": "2026-03-19T07:25:59.945557200Z", "start_time": "2026-03-19T07:19:53.045101500Z" } }, "source": [ "import pandas as pd\n", "import requests\n", "import json\n", "import math\n", "import xlrd\n", "from pprint import pprint\n", "\n", "headers = {\n", " 'accept': 'application/json, text/javascript, */*; q=0.01',\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': 'bearer 21143f27-ffdc-4727-aae0-ff9b8447f70a',\n", " 'clienttype': 'GOOD_MANAGER_PRO',\n", " 'content-type': 'application/x-www-form-urlencoded; charset=UTF-8',\n", " 'origin': 'https://vip.365hdz.com',\n", " 'priority': 'u=1, i',\n", " 'referer': 'https://vip.365hdz.com/',\n", " 'sec-ch-ua': '\"Chromium\";v=\"146\", \"Not-A.Brand\";v=\"24\", \"Microsoft Edge\";v=\"146\"',\n", " 'sec-ch-ua-mobile': '?0',\n", " 'sec-ch-ua-platform': '\"Windows\"',\n", " 'sec-fetch-dest': 'empty',\n", " 'sec-fetch-mode': 'cors',\n", " 'sec-fetch-site': 'same-site',\n", " 'storeid': '0e9bd7a80f8d4587ab5e01179fcb132a',\n", " 'storename': '%E5%90%AF%E6%A2%A6%E6%B1%BD%E8%BD%A6%E6%9C%8D%E5%8A%A1%E4%B8%AD%E5%BF%83',\n", " 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/146.0.0.0 Safari/537.36 Edg/146.0.0.0',\n", " 'x-client-id': 'HDZ_PRO_PC',\n", "}\n", "\n", "# 创建一个空的DataFrame\n", "all_data = pd.DataFrame()\n", "start = 0\n", "page = 0\n", "for i in range(0, 958):\n", " json1 = {\n", " 'draw': 10,\n", " 'start': start,\n", " 'length': 10,\n", " 'desc': 'false',\n", " 'page': page,\n", " 'size': 10,\n", " 'paymentType': '',\n", " 'midDate': '2009-01-01 00:00:00',\n", " 'endDate': '2026-08-24 23:59:59',\n", " 'sourceType': '',\n", " 'customerName': '',\n", " 'customerPhone': '',\n", " 'customerLicensePlate': '',\n", " 'sourceName': ''\n", " }\n", " url = 'https://api.365hdz.com/basic/customers/countercardlist/data.js'\n", " res1 = requests.post(url, headers=headers, data=json1)\n", " strele1 = res1.json()\n", " page_len = len(strele1['data'])\n", " start = start + page_len\n", " page = page + 1\n", " for a in range(0, page_len):\n", " data_list = [strele1['data'][a]]\n", " df_new1 = pd.DataFrame(data_list)\n", " # 将当前接口的数据添加到总数据中\n", " all_data = all_data._append(df_new1, ignore_index=True)\n", " print(i)\n", "all_data.to_excel(r'D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\好店长剩余套餐-1.xlsx')\n", "\n", "# all_data.to_excel(r'C:\\Users\\admin\\Downloads\\好店长消费流水,{}.xlsx'.format(page))\n", "\n" ], "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0\n", "1\n", "2\n", "3\n", "4\n", "5\n", "6\n", "7\n", "8\n", "9\n", "10\n", "11\n", "12\n", "13\n", "14\n", "15\n", "16\n", "17\n", "18\n", "19\n", "20\n", "21\n", "22\n", "23\n", "24\n", "25\n", "26\n", "27\n", "28\n", "29\n", "30\n", "31\n", "32\n", "33\n", "34\n", "35\n", "36\n", "37\n", "38\n", "39\n", "40\n", "41\n", "42\n", "43\n", "44\n", "45\n", "46\n", "47\n", "48\n", "49\n", "50\n", "51\n", "52\n", "53\n", "54\n", "55\n", "56\n", "57\n", "58\n", "59\n", "60\n", "61\n", "62\n", "63\n", "64\n", "65\n", "66\n", "67\n", "68\n", "69\n", "70\n", "71\n", "72\n", "73\n", "74\n", "75\n", "76\n", "77\n", "78\n", "79\n", "80\n", "81\n", "82\n", "83\n", "84\n", "85\n", 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51\u001B[39m\n\u001B[32m 34\u001B[39m json1={\n\u001B[32m 35\u001B[39m \u001B[33m'\u001B[39m\u001B[33mdraw\u001B[39m\u001B[33m'\u001B[39m: \u001B[32m11\u001B[39m,\n\u001B[32m 36\u001B[39m \u001B[33m'\u001B[39m\u001B[33mstart\u001B[39m\u001B[33m'\u001B[39m: start,\n\u001B[32m (...)\u001B[39m\u001B[32m 48\u001B[39m \u001B[33m'\u001B[39m\u001B[33msourceName\u001B[39m\u001B[33m'\u001B[39m: \u001B[33m'\u001B[39m\u001B[33m'\u001B[39m\n\u001B[32m 49\u001B[39m }\n\u001B[32m 50\u001B[39m url = \u001B[33m'\u001B[39m\u001B[33mhttps://api.365hdz.com/basic/customers/countercardlist/data.js\u001B[39m\u001B[33m'\u001B[39m\n\u001B[32m---> \u001B[39m\u001B[32m51\u001B[39m res1 = \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[43mheaders\u001B[49m\u001B[43m=\u001B[49m\u001B[43mheaders\u001B[49m\u001B[43m,\u001B[49m\u001B[43mdata\u001B[49m\u001B[43m=\u001B[49m\u001B[43mjson1\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 52\u001B[39m strele1 = res1.json()\n\u001B[32m 53\u001B[39m page_len = \u001B[38;5;28mlen\u001B[39m(strele1[\u001B[33m'\u001B[39m\u001B[33mdata\u001B[39m\u001B[33m'\u001B[39m])\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:1450\u001B[39m, in \u001B[36mHTTPConnection.getresponse\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m 1448\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m 1449\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m-> \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[32m 1452\u001B[39m \u001B[38;5;28mself\u001B[39m.close()\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 334\u001B[39m \u001B[38;5;66;03m# read until we get a non-100 response\u001B[39;00m\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[32m 338\u001B[39m \u001B[38;5;28;01mbreak\u001B[39;00m\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[32m 299\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m LineTooLong(\u001B[33m\"\u001B[39m\u001B[33mstatus line\u001B[39m\u001B[33m\"\u001B[39m)\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 717\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mOSError\u001B[39;00m(\u001B[33m\"\u001B[39m\u001B[33mcannot read from timed out object\u001B[39m\u001B[33m\"\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[32m 721\u001B[39m \u001B[38;5;28mself\u001B[39m._timeout_occurred = \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\\ssl.py:1304\u001B[39m, in \u001B[36mSSLSocket.recv_into\u001B[39m\u001B[34m(self, buffer, nbytes, flags)\u001B[39m\n\u001B[32m 1300\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m flags != \u001B[32m0\u001B[39m:\n\u001B[32m 1301\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(\n\u001B[32m 1302\u001B[39m \u001B[33m\"\u001B[39m\u001B[33mnon-zero flags not allowed in calls to recv_into() on \u001B[39m\u001B[38;5;132;01m%s\u001B[39;00m\u001B[33m\"\u001B[39m %\n\u001B[32m 1303\u001B[39m \u001B[38;5;28mself\u001B[39m.\u001B[34m__class__\u001B[39m)\n\u001B[32m-> \u001B[39m\u001B[32m1304\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mread\u001B[49m\u001B[43m(\u001B[49m\u001B[43mnbytes\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mbuffer\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 1305\u001B[39m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[32m 1306\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28msuper\u001B[39m().recv_into(buffer, nbytes, flags)\n", "\u001B[36mFile \u001B[39m\u001B[32mD:\\Program Files\\anaconda3\\envs\\F6+宜搭+其它\\Lib\\ssl.py:1138\u001B[39m, in \u001B[36mSSLSocket.read\u001B[39m\u001B[34m(self, len, buffer)\u001B[39m\n\u001B[32m 1136\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m 1137\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m buffer \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[32m-> \u001B[39m\u001B[32m1138\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m_sslobj\u001B[49m\u001B[43m.\u001B[49m\u001B[43mread\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mlen\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mbuffer\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 1139\u001B[39m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[32m 1140\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mself\u001B[39m._sslobj.read(\u001B[38;5;28mlen\u001B[39m)\n", "\u001B[31mKeyboardInterrupt\u001B[39m: " ] } ], "execution_count": 4 }, { "metadata": { "ExecuteTime": { "end_time": "2026-03-19T07:26:06.751291400Z", "start_time": "2026-03-19T07:26:06.409769500Z" } }, "cell_type": "code", "source": "all_data.to_excel(r'D:\\Idea Project\\F6+宜搭+其它(1)\\张阳脚本\\文件输出\\好店长剩余套餐-1.xlsx')", "outputs": [], "execution_count": 5 }, { "metadata": {}, "cell_type": "code", "outputs": [], "execution_count": null, "source": "" }, { "metadata": {}, "cell_type": "markdown", "source": "工单信息" }, { "metadata": { "ExecuteTime": { "end_time": "2026-03-19T08:52:47.412197900Z", "start_time": "2026-03-19T08:44:31.270149Z" } }, "cell_type": "code", "source": [ "import requests\n", "import pandas as pd\n", "from requests.adapters import HTTPAdapter\n", "from urllib3.util.retry import Retry\n", "\n", "def _get_safe_dict(data, key):\n", " \"\"\"\n", " 安全地获取嵌套字典。\n", " 如果 key 不存在，返回 {}。\n", " 如果 key 存在但值为 None，返回 {}。\n", " 如果 key 存在且为字典，返回该字典。\n", " \"\"\"\n", " val = data.get(key)\n", " if val is None:\n", " return {}\n", " if not isinstance(val, dict):\n", " # 以防万一数据类型不是字典也不是None，强制转为空字典避免后续报错\n", " return {}\n", " return val\n", "\n", "def expand_workorder_details(data_list):\n", " \"\"\"\n", " 展开工单明细数据，将嵌套的对象展开为独立的列\n", " \"\"\"\n", " expanded_data = []\n", "\n", " for item in data_list:\n", " # 基础字段\n", " base_record = {\n", " 'id': item.get('id'),\n", " 'createDateTime': item.get('createDateTime'),\n", " 'totalAmount': item.get('totalAmount'),\n", " 'beforeDiscountTotalAmount': item.get('beforeDiscountTotalAmount'),\n", " 'remark': item.get('remark'),\n", " 'imgRemark': item.get('imgRemark'),\n", " 'settlementDate': item.get('settlementDate'),\n", " 'status': item.get('status'),\n", " 'receiptVoucherId': item.get('receiptVoucherId'),\n", " 'licensePlate': item.get('licensePlate'),\n", " 'storeId': item.get('storeId'),\n", " 'totalPaidAmount': item.get('totalPaidAmount'),\n", " 'totalBalanceAmount': item.get('totalBalanceAmount'),\n", " 'totalGrossProfitAmount': item.get('totalGrossProfitAmount'),\n", " 'containsPurchaseOrder': item.get('containsPurchaseOrder'),\n", " 'quotationDateTime': item.get('quotationDateTime'),\n", " 'sendDateTime': item.get('sendDateTime'),\n", " 'preDeductAmount': item.get('preDeductAmount'),\n", " 'maintainOrder': item.get('maintainOrder')\n", " }\n", "\n", " # --- 修复核心：使用 _get_safe_dict 处理所有可能为 None 的嵌套对象 ---\n", "\n", " # 操作员信息\n", " operator_info = _get_safe_dict(item, 'operator')\n", " base_record.update({\n", " 'operatorId': operator_info.get('operatorId'),\n", " 'operatorName': operator_info.get('operatorName'),\n", " 'operatorStoreId': operator_info.get('operatorStoreId')\n", " })\n", "\n", " # 创建者信息\n", " creator_info = _get_safe_dict(item, 'creator')\n", " base_record.update({\n", " 'creatorId': creator_info.get('operatorId'),\n", " 'creatorName': creator_info.get('operatorName'),\n", " 'creatorStoreId': creator_info.get('operatorStoreId')\n", " })\n", "\n", " # 结算会员卡信息 (报错点)\n", " settlement_member_card = _get_safe_dict(item, 'settlementMemberCard')\n", " base_record.update({\n", " 'settlementMemberCardId': settlement_member_card.get('id'),\n", " 'settlementCardNumber': settlement_member_card.get('cardNumber'),\n", " 'settlementMemberCardType': settlement_member_card.get('memberCardType')\n", " })\n", "\n", " # 结算客户信息\n", " settlement_customer = _get_safe_dict(item, 'settlementCustomer')\n", " base_record.update({\n", " 'settlementCustomerId': settlement_customer.get('id'),\n", " 'settlementCustomerName': settlement_customer.get('name'),\n", " 'settlementContactName': settlement_customer.get('contactName'),\n", " 'settlementContactTelephone': settlement_customer.get('contactTelephone'),\n", " 'settlementCustomerCategory': settlement_customer.get('category'),\n", " 'settlementCumulativeConsumeAmount': settlement_customer.get('cumulativeConsumeAmount'),\n", " 'settlementCustomerGrade': settlement_customer.get('grade'),\n", " 'settlementLastConsumeDatetime': settlement_customer.get('lastConsumeDatetime'),\n", " 'settlementLastIntoStoreDatetime': settlement_customer.get('lastIntoStoreDatetime'),\n", " 'settlementCustomerCreateDateTime': settlement_customer.get('createDateTime')\n", " })\n", "\n", " # 消费会员卡信息\n", " consume_member_card = _get_safe_dict(item, 'consumeMemberCard')\n", " # 处理 consumeMemberCard 内部的 balance 字段，它也可能为 None\n", " balance_info = _get_safe_dict(consume_member_card, 'balance')\n", "\n", " base_record.update({\n", " 'consumeMemberCardId': consume_member_card.get('id'),\n", " 'consumeCardNumber': consume_member_card.get('cardNumber'),\n", " 'consumeMemberCardType': consume_member_card.get('memberCardType'),\n", " 'consumeCardBalanceStoredAmount': balance_info.get('storedAmount'),\n", " 'consumeCardBalanceGiftAmount': balance_info.get('giftAmount'),\n", " 'consumeCardBalanceTotal': balance_info.get('balance'),\n", " 'consumePreDeductAmount': consume_member_card.get('preDeductAmount'),\n", " 'consumeAfterPreDeductAmount': consume_member_card.get('afterPreDeductAmount'),\n", " 'consumeCumulativeStoredAmount': consume_member_card.get('cumulativeStoredAmount'),\n", " 'consumeCumulativeGiftAmount': consume_member_card.get('cumulativeGiftAmount')\n", " })\n", "\n", " # 消费客户信息\n", " consume_customer = _get_safe_dict(item, 'consumeCustomer')\n", " base_record.update({\n", " 'consumeCustomerId': consume_customer.get('id'),\n", " 'consumeCustomerName': consume_customer.get('name'),\n", " 'consumeContactName': consume_customer.get('contactName'),\n", " 'consumeContactTelephone': consume_customer.get('contactTelephone'),\n", " 'consumeCustomerCategory': consume_customer.get('category'),\n", " 'consumeCumulativeConsumeAmount': consume_customer.get('cumulativeConsumeAmount'),\n", " 'consumeCustomerGrade': consume_customer.get('grade'),\n", " 'consumeLastConsumeDatetime': consume_customer.get('lastConsumeDatetime'),\n", " 'consumeLastIntoStoreDatetime': consume_customer.get('lastIntoStoreDatetime'),\n", " 'consumeCustomerCreateDateTime': consume_customer.get('createDateTime')\n", " })\n", "\n", " # 注册车辆信息\n", " registered_vehicle = _get_safe_dict(item, 'registeredVehicle')\n", " vehicle_owner = _get_safe_dict(registered_vehicle, 'vehicleOwner')\n", " vehicle_info = _get_safe_dict(registered_vehicle, 'vehicle')\n", " # 车辆牌照信息也可能嵌套且为 None\n", " license_plate_info = _get_safe_dict(vehicle_info, 'licensePlate')\n", "\n", " base_record.update({\n", " 'registeredVehicleId': registered_vehicle.get('id'),\n", " 'vehicleOwnerId': vehicle_owner.get('id'),\n", " 'vehicleOwnerName': vehicle_owner.get('name'),\n", " 'vehicleOwnerMobilePhone': vehicle_owner.get('mobilePhone'),\n", " 'vehicleOwnerAddress': vehicle_owner.get('address'),\n", " 'vehicleOwnerBirthday': vehicle_owner.get('birthday'),\n", " 'vehicleOwnerGender': vehicle_owner.get('gender'),\n", " # 修复深层嵌套访问\n", " 'vehicleLicensePlate': license_plate_info.get('number'),\n", " 'vehicleBrandCode': vehicle_info.get('brandCode'),\n", " 'vehicleBrandSeries': vehicle_info.get('brandSeries'),\n", " 'vehicleColor': vehicle_info.get('color'),\n", " 'vehicleEngineNumber': vehicle_info.get('engineNumber'),\n", " 'vehicleFrameNumber': vehicle_info.get('frameNumber'),\n", " 'vehicleInsuranceDate': vehicle_info.get('insuranceDate'),\n", " 'vehicleCompulsoryInsuranceDate': vehicle_info.get('compulsoryInsuranceDate'),\n", " 'vehicleLastMileage': vehicle_info.get('lastMileage'),\n", " 'vehicleLicenseDate': vehicle_info.get('licenseDate'),\n", " 'vehicleModel': vehicle_info.get('model'),\n", " 'vehicleCarBrand': vehicle_info.get('carBrand'),\n", " 'vehicleManufactureCn': vehicle_info.get('manufactureCn'),\n", " 'vehicleNameCn': vehicle_info.get('vehicleNameCn'),\n", " 'vehicleOfYear': vehicle_info.get('vehicleOfYear'),\n", " 'vehicleMaintenanceMileage': vehicle_info.get('maintenanceMileage'),\n", " 'vehicleMaintenanceTime': vehicle_info.get('maintenanceTime')\n", " })\n", "\n", " # 工单项目信息\n", " items = item.get('items')\n", " # 确保 items 是列表，防止其为 None 导致迭代错误\n", " if not isinstance(items, list):\n", " items = []\n", "\n", " if items:\n", " for item_detail in items:\n", " # 复制基础记录信息\n", " record = base_record.copy()\n", "\n", " # 添加项目详细信息\n", " record.update({\n", " 'itemId': item_detail.get('id') if isinstance(item_detail, dict) else None,\n", " 'itemName': item_detail.get('name') if isinstance(item_detail, dict) else None,\n", " 'itemRetailPrice': item_detail.get('retailPrice') if isinstance(item_detail, dict) else None,\n", " 'itemOriginalPrice': item_detail.get('originalPrice') if isinstance(item_detail, dict) else None,\n", " 'itemCostPrice': item_detail.get('costPrice') if isinstance(item_detail, dict) else None,\n", " 'itemQuantity': item_detail.get('quantity') if isinstance(item_detail, dict) else None,\n", " 'itemTotalAmount': item_detail.get('totalAmount') if isinstance(item_detail, dict) else None,\n", " 'itemBeforeDiscountTotalAmount': item_detail.get('beforeDiscountTotalAmount') if isinstance(item_detail, dict) else None,\n", " 'itemSaleSourceId': item_detail.get('saleSourceId') if isinstance(item_detail, dict) else None,\n", " 'itemSaleCategory': item_detail.get('saleCategory') if isinstance(item_detail, dict) else None,\n", " 'itemFromCounterCard': item_detail.get('fromCounterCard') if isinstance(item_detail, dict) else None,\n", " 'itemContainsPurchaseOrder': item_detail.get('containsPurchaseOrder') if isinstance(item_detail, dict) else None,\n", " 'itemCustomizedSupplierId': item_detail.get('customizedSupplierId') if isinstance(item_detail, dict) else None,\n", " 'itemCustomizedSupplierName': item_detail.get('customizedSupplierName') if isinstance(item_detail, dict) else None,\n", " 'itemRemark': item_detail.get('remark') if isinstance(item_detail, dict) else None\n", " })\n", "\n", " expanded_data.append(record)\n", " else:\n", " # 如果没有项目，则仍保留基础记录\n", " record = base_record.copy()\n", " null_item_record = {\n", " 'itemId': None,\n", " 'itemName': None,\n", " 'itemRetailPrice': None,\n", " 'itemOriginalPrice': None,\n", " 'itemCostPrice': None,\n", " 'itemQuantity': None,\n", " 'itemTotalAmount': None,\n", " 'itemBeforeDiscountTotalAmount': None,\n", " 'itemSaleSourceId': None,\n", " 'itemSaleCategory': None,\n", " 'itemFromCounterCard': None,\n", " 'itemContainsPurchaseOrder': None,\n", " 'itemCustomizedSupplierId': None,\n", " 'itemCustomizedSupplierName': None,\n", " 'itemRemark': None\n", " }\n", " record.update(null_item_record)\n", " expanded_data.append(record)\n", "\n", " return expanded_data\n", "\n", "def fetch_all_workorders():\n", " \"\"\"\n", " 获取所有工单数据\n", " \"\"\"\n", " # 创建带重试机制的session，提高稳定性\n", " session = requests.Session()\n", " retry = Retry(\n", " total=3,\n", " backoff_factor=0.5,\n", " status_forcelist=[429, 500, 502, 503, 504]\n", " )\n", " adapter = HTTPAdapter(max_retries=retry)\n", " session.mount('https://', adapter)\n", "\n", " headers = {\n", " 'accept': 'application/json, text/javascript, */*; q=0.01',\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': 'bearer 21143f27-ffdc-4727-aae0-ff9b8447f70a',\n", " 'clienttype': 'GOOD_MANAGER_PRO',\n", " 'content-type': 'application/x-www-form-urlencoded; charset=UTF-8',\n", " 'origin': 'https://vip.365hdz.com',\n", " 'priority': 'u=1, i',\n", " 'referer': 'https://vip.365hdz.com/',\n", " 'sec-ch-ua': '\"Chromium\";v=\"146\", \"Not-A.Brand\";v=\"24\", \"Microsoft Edge\";v=\"146\"',\n", " 'sec-ch-ua-mobile': '?0',\n", " 'sec-ch-ua-platform': '\"Windows\"',\n", " 'sec-fetch-dest': 'empty',\n", " 'sec-fetch-mode': 'cors',\n", " 'sec-fetch-site': 'same-site',\n", " 'storeid': '0e9bd7a80f8d4587ab5e01179fcb132a',\n", " 'storename': '%E5%90%AF%E6%A2%A6%E6%B1%BD%E8%BD%A6%E6%9C%8D%E5%8A%A1%E4%B8%AD%E5%BF%83',\n", " 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/146.0.0.0 Safari/537.36 Edg/146.0.0.0',\n", " 'x-client-id': 'HDZ_PRO_PC',\n", " }\n", "\n", " data = {\n", " 'draw': '3',\n", " 'start': '0',\n", " 'length': '12',\n", " 'desc': 'false',\n", " 'page': '0',\n", " 'size': '12',\n", " 'status': 'COMPLETED',\n", " 'startDateTime': '',\n", " 'endDateTime': '',\n", " 'customerName': '',\n", " 'customerTelephone': '',\n", " 'licensePlate': '',\n", " 'serviceName': '',\n", " }\n", "\n", " all_data = []\n", " total_records = 6621 # 根据API返回的总数\n", " page_size = 12\n", "\n", " # 计算总页数\n", " total_pages = (total_records // page_size) + (1 if total_records % page_size > 0 else 0)\n", "\n", " print(f\"总共需要获取 {total_pages} 页数据...\")\n", "\n", " for i in range(total_pages):\n", " print(f\"正在获取第 {i+1} 页数据...\")\n", " data['start'] = str(i * page_size)\n", " data['page'] = str(i)\n", "\n", " try:\n", " response = session.post('https://api.365hdz.com/basic/workorders/data.js', headers=headers, data=data, timeout=30)\n", " response.raise_for_status()\n", "\n", " json_data = response.json()\n", " page_data = json_data.get('data', [])\n", "\n", " if not page_data:\n", " print(f\"第 {i+1} 页没有数据，停止获取\")\n", " break\n", "\n", " all_data.extend(page_data)\n", " print(f\"已获取第 {i+1} 页数据，当前总计 {len(all_data)} 条记录\")\n", "\n", " except requests.exceptions.RequestException as e:\n", " print(f\"获取第 {i+1} 页数据失败: {e}\")\n", " continue\n", "\n", " print(f\"数据获取完成，总计 {len(all_data)} 条记录\")\n", " return all_data\n", "\n", "def main():\n", " \"\"\"\n", " 主函数\n", " \"\"\"\n", " # 1. 获取原始工单数据\n", " raw_data = fetch_all_workorders()\n", "\n", " if not raw_data:\n", " print(\"未获取到任何数据，程序结束。\")\n", " return\n", "\n", " # 2. 关键修复：调用展开函数处理原始数据\n", " # 现在这个函数内部已经处理了 None 值的情况\n", " expanded_data = expand_workorder_details(raw_data)\n", "\n", " # 3. 创建DataFrame\n", " df = pd.DataFrame(expanded_data)\n", "\n", " # 输出到Excel文件\n", " output_path = \"D:/Idea Project/F6+宜搭+其它(1)/张阳脚本/文件输出/好店长工单列表-展开明细.xlsx\"\n", "\n", " # 使用ExcelWriter避免大数据量写入问题\n", " try:\n", " with pd.ExcelWriter(output_path, engine='openpyxl') as writer:\n", " df.to_excel(writer, index=False, sheet_name='工单明细')\n", " print(f\"数据已保存到: {output_path}\")\n", " print(f\"共生成 {len(df)} 行数据\")\n", "\n", " # 显示前几行数据供查看\n", " print(\"\\n前5行数据预览:\")\n", " print(df.head())\n", "\n", " # 显示列名\n", " print(f\"\\n共有 {len(df.columns)} 列:\")\n", " # 只打印前20个列名，避免输出太长\n", " print(df.columns.tolist()[:20], \"...\")\n", " except Exception as e:\n", " print(f\"保存文件时出错: {e}\")\n", " # 如果路径有问题，尝试保存到当前目录\n", " fallback_path = \"workorders_export.xlsx\"\n", " print(f\"尝试保存到当前目录: {fallback_path}\")\n", " df.to_excel(fallback_path, index=False)\n", " print(f\"数据已备用保存到: {fallback_path}\")\n", "\n", "if __name__ == \"__main__\":\n", " main()" ], "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "总共需要获取 552 页数据...\n", "正在获取第 1 页数据...\n", "已获取第 1 页数据，当前总计 12 条记录\n", "正在获取第 2 页数据...\n", "已获取第 2 页数据，当前总计 24 条记录\n", "正在获取第 3 页数据...\n", "已获取第 3 页数据，当前总计 36 条记录\n", "正在获取第 4 页数据...\n", "已获取第 4 页数据，当前总计 48 条记录\n", "正在获取第 5 页数据...\n", "已获取第 5 页数据，当前总计 60 条记录\n", "正在获取第 6 页数据...\n", "已获取第 6 页数据，当前总计 72 条记录\n", "正在获取第 7 页数据...\n", "已获取第 7 页数据，当前总计 84 条记录\n", "正在获取第 8 页数据...\n", "已获取第 8 页数据，当前总计 96 条记录\n", "正在获取第 9 页数据...\n", "已获取第 9 页数据，当前总计 108 条记录\n", "正在获取第 10 页数据...\n", "已获取第 10 页数据，当前总计 120 条记录\n", "正在获取第 11 页数据...\n", 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552 页数据...\n", "已获取第 552 页数据，当前总计 6621 条记录\n", "数据获取完成，总计 6621 条记录\n", "数据已保存到: D:/Idea Project/F6+宜搭+其它(1)/张阳脚本/文件输出/好店长工单列表-展开明细.xlsx\n", "共生成 10977 行数据\n", "\n", "前5行数据预览:\n", " id createDateTime totalAmount \\\n", "0 2d565c97652245f9918b5bbed390cebd 2026-03-14 18:06:46 88.0 \n", "1 76eada1f4c4e4ae2861f000958ce4c32 2026-03-14 15:33:09 25.0 \n", "2 26a397127c184eaf8eb2ab0b731421ab 2026-03-13 13:22:03 0.0 \n", "3 89e2c36b2e69466e9a81d8cbb0ded73a 2026-03-13 10:47:48 25.0 \n", "4 d034bbd9fc0a408fa9bacee97d0a79e9 2026-03-09 08:54:25 0.0 \n", "\n", " beforeDiscountTotalAmount remark imgRemark settlementDate status \\\n", "0 88.0 2026-03-14 18:06:52 COMPLETED \n", "1 25.0 2026-03-14 15:33:18 COMPLETED \n", "2 0.0 2026-03-13 13:22:02 COMPLETED \n", "3 25.0 2026-03-13 10:47:53 COMPLETED \n", "4 0.0 2026-03-09 08:54:24 COMPLETED \n", "\n", " receiptVoucherId licensePlate ... itemQuantity \\\n", "0 fdd44cc801db410e942b3dba9afd7802 皖C57CE9 ... 1.0 \n", "1 1a81b39f074d46f7a8091d5264e9ade6 皖F54306 ... 1.0 \n", "2 19a0429926e94d97accb8fce34e783c5 皖CQJ667 ... 1.0 \n", "3 5ea5cb2a398748d3b6830956d6676dcb 皖A811NJ ... 1.0 \n", "4 a2950b7a29ab47b7a34c27d19046706f 豫R9YR72 ... 3.0 \n", "\n", " itemTotalAmount itemBeforeDiscountTotalAmount \\\n", "0 88.0 88.0 \n", "1 25.0 25.0 \n", "2 0.0 0.0 \n", "3 25.0 25.0 \n", "4 0.0 0.0 \n", "\n", " itemSaleSourceId itemSaleCategory itemFromCounterCard \\\n", "0 c36bff2c75cb469db4a6f7783616c833 SERVICES False \n", "1 640b4648797449e09db8d48e299c5c7f SERVICES False \n", "2 640b4648797449e09db8d48e299c5c7f SERVICES True \n", "3 640b4648797449e09db8d48e299c5c7f SERVICES False \n", "4 640b4648797449e09db8d48e299c5c7f SERVICES True \n", "\n", " itemContainsPurchaseOrder itemCustomizedSupplierId \\\n", "0 False None \n", "1 False None \n", "2 False None \n", "3 False None \n", "4 False None \n", "\n", " itemCustomizedSupplierName itemRemark \n", "0 None None \n", "1 None None \n", "2 None None \n", "3 None None \n", "4 None None \n", "\n", "[5 rows x 97 columns]\n", "\n", "共有 97 列:\n", "['id', 'createDateTime', 'totalAmount', 'beforeDiscountTotalAmount', 'remark', 'imgRemark', 'settlementDate', 'status', 'receiptVoucherId', 'licensePlate', 'storeId', 'totalPaidAmount', 'totalBalanceAmount', 'totalGrossProfitAmount', 'containsPurchaseOrder', 'quotationDateTime', 'sendDateTime', 'preDeductAmount', 'maintainOrder', 'operatorId'] ...\n" ] } ], "execution_count": 13 } ], "metadata": { "kernelspec": { "display_name": "base", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.4" } }, "nbformat": 4, "nbformat_minor": 2 }