{
 "cells": [
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "客户信息",
   "id": "ca035649ea5d4d35"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-27T06:22:03.447660Z",
     "start_time": "2025-02-27T06:09:20.220231Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import requests\n",
    "from tqdm import tqdm\n",
    "import pandas as pd\n",
    "import time \n",
    "\n",
    "url = \"https://shop-gateway.tuhu.cn/md-shop-crm-api/shop-site/shop-user-list\"\n",
    "\n",
    "columns = ['userId', 'userName', 'carType', 'consumeNum', 'consumeMoney', 'lastTimeArriveTime', 'userTel',\n",
    "           'lastRevisitDate', 'evaluate']\n",
    "df = pd.DataFrame(columns=columns)\n",
    "\n",
    "for i in tqdm(range(1, 597)):\n",
    "    time.sleep(1)\n",
    "    params = {\n",
    "        'apiVersion': '1.0.0',\n",
    "        'channel': 'S-SITE',\n",
    "        'deviceId': '05c6720e-ca19-4d7a-908c-4d60d20b7059',\n",
    "        'pageIndex': i,\n",
    "        'pageSize': 10\n",
    "    }\n",
    "    headers = {\n",
    "        'accept': 'application/json, text/plain, */*',\n",
    "        'authorization': \"Bearer eyJhbGciOiJSUzI1NiIsImtpZCI6ImhHeXFFYi0tZUFFYTExa2lhZGc4ZXBpSGU0VSIsInR5cCI6IkpXVCIsIng1dCI6ImhHeXFFYi0tZUFFYTExa2lhZGc4ZXBpSGU0VSJ9.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.Vr3uFvmEO5PrGrRuDAvPz06kEiMTwm9bRpZJO0D4hLAMAO82iprgurKgny6aH4sFiQDxNahKTERhgF3nFsK17kSVWS6yCrm6iRSZjx3B08gOjVB0CpJ3BHTzqRDR7FUyZI4netggGxMgB3YONfeembX37rIBW7wiPckwIw0eQxhLGfYor9d_Zs5J4bJ-mDfFFb1Y2zYfQe70Or0hevbKisRQ6P6GtEMo5u7YwbkUtSeAsBY2P4LH6g8weM7OJs1I3HcN9OInoDv3UEsIdba3W1jy1OcU36UMXzB7140otB3kZm9bDwyAadNlic6wznpTj3xbXhgfMz6aGeXwSyv1sw\",\n",
    "        # 替换为你的access token\n",
    "        'apiversion': '1.0',\n",
    "        'authtype': 'oidc',\n",
    "        'channel': 'S-SITE',\n",
    "        'deviceid': '05c6720e-ca19-4d7a-908c-4d60d20b7059',\n",
    "        'origin': 'https://shop.tuhu.cn',\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",
    "    }\n",
    "\n",
    "    response = requests.get(url, headers=headers, params=params)\n",
    "\n",
    "    # print('Response Status Code:', response.status_code)\n",
    "    # print('Response Body:', response.json())\n",
    "\n",
    "    data_list = response.json().get('data', []).get('list', [])\n",
    "\n",
    "    for data in data_list:\n",
    "        # 创建一个新的DataFrame用于添加单条记录\n",
    "        df_temp = pd.DataFrame([{\n",
    "            'userId': data['userId'],\n",
    "            'userName': data['userName'],\n",
    "            'carType': data['carType'],\n",
    "            'consumeNum': data['consumeNum'],\n",
    "            'consumeMoney': data['consumeMoney'],\n",
    "            'lastTimeArriveTime': data['lastTimeArriveTime'],\n",
    "            'userTel': data['userTel'],\n",
    "            'lastRevisitDate': data['lastRevisitDate'],\n",
    "            'evaluate': data['evaluate']\n",
    "        }])\n",
    "\n",
    "        # 将新的DataFrame追加到主DataFrame中\n",
    "        df = pd.concat([df, df_temp], ignore_index=True)\n",
    "\n",
    "df.to_excel('D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\途虎客户数据.xlsx', index=False)\n",
    "\n",
    "\n",
    "\n"
   ],
   "id": "8c8b4568b7977b28",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<>:57: SyntaxWarning: invalid escape sequence '\\I'\n",
      "<>:57: SyntaxWarning: invalid escape sequence '\\I'\n",
      "C:\\Users\\Administrator.DESKTOP-7IC2USJ\\AppData\\Local\\Temp\\ipykernel_6332\\3131821139.py:57: SyntaxWarning: invalid escape sequence '\\I'\n",
      "  df.to_excel('D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\途虎客户数据.xlsx', index=False)\n",
      "  0%|          | 0/596 [00:00<?, ?it/s]C:\\Users\\Administrator.DESKTOP-7IC2USJ\\AppData\\Local\\Temp\\ipykernel_6332\\3131821139.py:55: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
      "  df = pd.concat([df, df_temp], ignore_index=True)\n",
      "100%|██████████| 596/596 [12:42<00:00,  1.28s/it]\n",
      "C:\\Users\\Administrator.DESKTOP-7IC2USJ\\AppData\\Local\\Temp\\ipykernel_6332\\3131821139.py:57: SyntaxWarning: invalid escape sequence '\\I'\n",
      "  df.to_excel('D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\途虎客户数据.xlsx', index=False)\n"
     ]
    },
    {
     "ename": "OSError",
     "evalue": "Cannot save file into a non-existent directory: 'D:\\Idea Project\\F6+宜搭+其它(1)\new\\文件输出'",
     "output_type": "error",
     "traceback": [
      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[1;31mOSError\u001B[0m                                   Traceback (most recent call last)",
      "Cell \u001B[1;32mIn[2], line 57\u001B[0m\n\u001B[0;32m     54\u001B[0m         \u001B[38;5;66;03m# 将新的DataFrame追加到主DataFrame中\u001B[39;00m\n\u001B[0;32m     55\u001B[0m         df \u001B[38;5;241m=\u001B[39m pd\u001B[38;5;241m.\u001B[39mconcat([df, df_temp], ignore_index\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mTrue\u001B[39;00m)\n\u001B[1;32m---> 57\u001B[0m df\u001B[38;5;241m.\u001B[39mto_excel(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mD:\u001B[39m\u001B[38;5;124m\\\u001B[39m\u001B[38;5;124mIdea Project\u001B[39m\u001B[38;5;124m\\\u001B[39m\u001B[38;5;124mF6+宜搭+其它(1)\u001B[39m\u001B[38;5;130;01m\\n\u001B[39;00m\u001B[38;5;124mew\u001B[39m\u001B[38;5;124m\\\u001B[39m\u001B[38;5;124m文件输出\u001B[39m\u001B[38;5;124m\\\u001B[39m\u001B[38;5;124m途虎客户数据.xlsx\u001B[39m\u001B[38;5;124m'\u001B[39m, index\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m)\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\pandas\\util\\_decorators.py:333\u001B[0m, in \u001B[0;36mdeprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper\u001B[1;34m(*args, **kwargs)\u001B[0m\n\u001B[0;32m    327\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mlen\u001B[39m(args) \u001B[38;5;241m>\u001B[39m num_allow_args:\n\u001B[0;32m    328\u001B[0m     warnings\u001B[38;5;241m.\u001B[39mwarn(\n\u001B[0;32m    329\u001B[0m         msg\u001B[38;5;241m.\u001B[39mformat(arguments\u001B[38;5;241m=\u001B[39m_format_argument_list(allow_args)),\n\u001B[0;32m    330\u001B[0m         \u001B[38;5;167;01mFutureWarning\u001B[39;00m,\n\u001B[0;32m    331\u001B[0m         stacklevel\u001B[38;5;241m=\u001B[39mfind_stack_level(),\n\u001B[0;32m    332\u001B[0m     )\n\u001B[1;32m--> 333\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m func(\u001B[38;5;241m*\u001B[39margs, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\pandas\\core\\generic.py:2417\u001B[0m, in \u001B[0;36mNDFrame.to_excel\u001B[1;34m(self, excel_writer, sheet_name, na_rep, float_format, columns, header, index, index_label, startrow, startcol, engine, merge_cells, inf_rep, freeze_panes, storage_options, engine_kwargs)\u001B[0m\n\u001B[0;32m   2404\u001B[0m \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01mpandas\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mio\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mformats\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mexcel\u001B[39;00m \u001B[38;5;28;01mimport\u001B[39;00m ExcelFormatter\n\u001B[0;32m   2406\u001B[0m formatter \u001B[38;5;241m=\u001B[39m ExcelFormatter(\n\u001B[0;32m   2407\u001B[0m     df,\n\u001B[0;32m   2408\u001B[0m     na_rep\u001B[38;5;241m=\u001B[39mna_rep,\n\u001B[1;32m   (...)\u001B[0m\n\u001B[0;32m   2415\u001B[0m     inf_rep\u001B[38;5;241m=\u001B[39minf_rep,\n\u001B[0;32m   2416\u001B[0m )\n\u001B[1;32m-> 2417\u001B[0m formatter\u001B[38;5;241m.\u001B[39mwrite(\n\u001B[0;32m   2418\u001B[0m     excel_writer,\n\u001B[0;32m   2419\u001B[0m     sheet_name\u001B[38;5;241m=\u001B[39msheet_name,\n\u001B[0;32m   2420\u001B[0m     startrow\u001B[38;5;241m=\u001B[39mstartrow,\n\u001B[0;32m   2421\u001B[0m     startcol\u001B[38;5;241m=\u001B[39mstartcol,\n\u001B[0;32m   2422\u001B[0m     freeze_panes\u001B[38;5;241m=\u001B[39mfreeze_panes,\n\u001B[0;32m   2423\u001B[0m     engine\u001B[38;5;241m=\u001B[39mengine,\n\u001B[0;32m   2424\u001B[0m     storage_options\u001B[38;5;241m=\u001B[39mstorage_options,\n\u001B[0;32m   2425\u001B[0m     engine_kwargs\u001B[38;5;241m=\u001B[39mengine_kwargs,\n\u001B[0;32m   2426\u001B[0m )\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\pandas\\io\\formats\\excel.py:943\u001B[0m, in \u001B[0;36mExcelFormatter.write\u001B[1;34m(self, writer, sheet_name, startrow, startcol, freeze_panes, engine, storage_options, engine_kwargs)\u001B[0m\n\u001B[0;32m    941\u001B[0m     need_save \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mFalse\u001B[39;00m\n\u001B[0;32m    942\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m--> 943\u001B[0m     writer \u001B[38;5;241m=\u001B[39m ExcelWriter(\n\u001B[0;32m    944\u001B[0m         writer,\n\u001B[0;32m    945\u001B[0m         engine\u001B[38;5;241m=\u001B[39mengine,\n\u001B[0;32m    946\u001B[0m         storage_options\u001B[38;5;241m=\u001B[39mstorage_options,\n\u001B[0;32m    947\u001B[0m         engine_kwargs\u001B[38;5;241m=\u001B[39mengine_kwargs,\n\u001B[0;32m    948\u001B[0m     )\n\u001B[0;32m    949\u001B[0m     need_save \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mTrue\u001B[39;00m\n\u001B[0;32m    951\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\pandas\\io\\excel\\_xlsxwriter.py:204\u001B[0m, in \u001B[0;36mXlsxWriter.__init__\u001B[1;34m(self, path, engine, date_format, datetime_format, mode, storage_options, if_sheet_exists, engine_kwargs, **kwargs)\u001B[0m\n\u001B[0;32m    201\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m mode \u001B[38;5;241m==\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124ma\u001B[39m\u001B[38;5;124m\"\u001B[39m:\n\u001B[0;32m    202\u001B[0m     \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mAppend mode is not supported with xlsxwriter!\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[1;32m--> 204\u001B[0m \u001B[38;5;28msuper\u001B[39m()\u001B[38;5;241m.\u001B[39m\u001B[38;5;21m__init__\u001B[39m(\n\u001B[0;32m    205\u001B[0m     path,\n\u001B[0;32m    206\u001B[0m     engine\u001B[38;5;241m=\u001B[39mengine,\n\u001B[0;32m    207\u001B[0m     date_format\u001B[38;5;241m=\u001B[39mdate_format,\n\u001B[0;32m    208\u001B[0m     datetime_format\u001B[38;5;241m=\u001B[39mdatetime_format,\n\u001B[0;32m    209\u001B[0m     mode\u001B[38;5;241m=\u001B[39mmode,\n\u001B[0;32m    210\u001B[0m     storage_options\u001B[38;5;241m=\u001B[39mstorage_options,\n\u001B[0;32m    211\u001B[0m     if_sheet_exists\u001B[38;5;241m=\u001B[39mif_sheet_exists,\n\u001B[0;32m    212\u001B[0m     engine_kwargs\u001B[38;5;241m=\u001B[39mengine_kwargs,\n\u001B[0;32m    213\u001B[0m )\n\u001B[0;32m    215\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[0;32m    216\u001B[0m     \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_book \u001B[38;5;241m=\u001B[39m Workbook(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_handles\u001B[38;5;241m.\u001B[39mhandle, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mengine_kwargs)\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\pandas\\io\\excel\\_base.py:1246\u001B[0m, in \u001B[0;36mExcelWriter.__init__\u001B[1;34m(self, path, engine, date_format, datetime_format, mode, storage_options, if_sheet_exists, engine_kwargs)\u001B[0m\n\u001B[0;32m   1242\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_handles \u001B[38;5;241m=\u001B[39m IOHandles(\n\u001B[0;32m   1243\u001B[0m     cast(IO[\u001B[38;5;28mbytes\u001B[39m], path), compression\u001B[38;5;241m=\u001B[39m{\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mcompression\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;28;01mNone\u001B[39;00m}\n\u001B[0;32m   1244\u001B[0m )\n\u001B[0;32m   1245\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(path, ExcelWriter):\n\u001B[1;32m-> 1246\u001B[0m     \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_handles \u001B[38;5;241m=\u001B[39m get_handle(\n\u001B[0;32m   1247\u001B[0m         path, mode, storage_options\u001B[38;5;241m=\u001B[39mstorage_options, is_text\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m\n\u001B[0;32m   1248\u001B[0m     )\n\u001B[0;32m   1249\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_cur_sheet \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mNone\u001B[39;00m\n\u001B[0;32m   1251\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m date_format \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\pandas\\io\\common.py:749\u001B[0m, in \u001B[0;36mget_handle\u001B[1;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001B[0m\n\u001B[0;32m    747\u001B[0m \u001B[38;5;66;03m# Only for write methods\u001B[39;00m\n\u001B[0;32m    748\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mr\u001B[39m\u001B[38;5;124m\"\u001B[39m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;129;01min\u001B[39;00m mode \u001B[38;5;129;01mand\u001B[39;00m is_path:\n\u001B[1;32m--> 749\u001B[0m     check_parent_directory(\u001B[38;5;28mstr\u001B[39m(handle))\n\u001B[0;32m    751\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m compression:\n\u001B[0;32m    752\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m compression \u001B[38;5;241m!=\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mzstd\u001B[39m\u001B[38;5;124m\"\u001B[39m:\n\u001B[0;32m    753\u001B[0m         \u001B[38;5;66;03m# compression libraries do not like an explicit text-mode\u001B[39;00m\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\pandas\\io\\common.py:616\u001B[0m, in \u001B[0;36mcheck_parent_directory\u001B[1;34m(path)\u001B[0m\n\u001B[0;32m    614\u001B[0m parent \u001B[38;5;241m=\u001B[39m Path(path)\u001B[38;5;241m.\u001B[39mparent\n\u001B[0;32m    615\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m parent\u001B[38;5;241m.\u001B[39mis_dir():\n\u001B[1;32m--> 616\u001B[0m     \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mOSError\u001B[39;00m(\u001B[38;5;124mrf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mCannot save file into a non-existent directory: \u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;132;01m{\u001B[39;00mparent\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n",
      "\u001B[1;31mOSError\u001B[0m: Cannot save file into a non-existent directory: 'D:\\Idea Project\\F6+宜搭+其它(1)\new\\文件输出'"
     ]
    }
   ],
   "execution_count": 2
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "## 客户信息-手机号\n",
    "\n",
    "### 废弃，可从历史维修记录导出"
   ],
   "id": "ee3958136175def1"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-27T06:23:34.712867Z",
     "start_time": "2025-02-27T06:22:33.744399Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import requests\n",
    "import json\n",
    "import pandas as pd\n",
    "from tqdm import tqdm\n",
    "import time\n",
    "\n",
    "df = pd.read_excel('途虎客户数据.xlsx')\n",
    "all_data = []\n",
    "\n",
    "for userId in tqdm(df.userId):\n",
    "    url = \"https://shop-gateway.tuhu.cn/md-shop-crm-api/common/decrypt\"\n",
    "    # print(userId)\n",
    "    # 请求头headers\n",
    "    headers = {\n",
    "        'apiVersion': '1.0.0',\n",
    "        'channel': 'S-SITE',\n",
    "        'deviceId': '05c6720e-ca19-4d7a-908c-4d60d20b7059',\n",
    "        'Content-Type': 'application/json;charset=UTF-8',\n",
    "        'authorization': 'Bearer eyJhbGciOiJSUzI1NiIsImtpZCI6ImhHeXFFYi0tZUFFYTExa2lhZGc4ZXBpSGU0VSIsInR5cCI6IkpXVCIsIng1dCI6ImhHeXFFYi0tZUFFYTExa2lhZGc4ZXBpSGU0VSJ9.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.Vr3uFvmEO5PrGrRuDAvPz06kEiMTwm9bRpZJO0D4hLAMAO82iprgurKgny6aH4sFiQDxNahKTERhgF3nFsK17kSVWS6yCrm6iRSZjx3B08gOjVB0CpJ3BHTzqRDR7FUyZI4netggGxMgB3YONfeembX37rIBW7wiPckwIw0eQxhLGfYor9d_Zs5J4bJ-mDfFFb1Y2zYfQe70Or0hevbKisRQ6P6GtEMo5u7YwbkUtSeAsBY2P4LH6g8weM7OJs1I3HcN9OInoDv3UEsIdba3W1jy1OcU36UMXzB7140otB3kZm9bDwyAadNlic6wznpTj3xbXhgfMz6aGeXwSyv1sw',\n",
    "        'authtype': 'oidc',\n",
    "        'origin': 'https://shop.tuhu.cn',\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",
    "    }\n",
    "    timestamp = time.time()\n",
    "\n",
    "    # 请求体payload\n",
    "    payload = json.dumps({\n",
    "        'apiVersion': '1.0.0',\n",
    "        'channel': 'S-SITE',\n",
    "        'deviceId': '05c6720e-ca19-4d7a-908c-4d60d20b7059',\n",
    "        'getVirtualMobile': True,\n",
    "        'shopId': 100727,\n",
    "        # 'sign': '08f13530413f8147ce35eea795b9a32d016dbdb3ba2b5b6b6333fd891dd15471',\n",
    "        'timestamp': timestamp,\n",
    "        'userId': userId,\n",
    "    })\n",
    "\n",
    "    response = requests.post(url, headers=headers, data=payload)\n",
    "\n",
    "    # print(response.text)\n",
    "    phone = response.json().get('data', {}).get('phone', '')\n",
    "    all_data.append({'userId': userId, 'phone': phone})\n",
    "    time.sleep(1)\n",
    "pd.DataFrame(all_data).to_excel('D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\途虎客户手机号数据.xlsx',\n",
    "                                index=False)\n"
   ],
   "id": "6770e798736031d4",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<>:44: SyntaxWarning: invalid escape sequence '\\I'\n",
      "<>:44: SyntaxWarning: invalid escape sequence '\\I'\n",
      "C:\\Users\\Administrator.DESKTOP-7IC2USJ\\AppData\\Local\\Temp\\ipykernel_6332\\1673590231.py:44: SyntaxWarning: invalid escape sequence '\\I'\n",
      "  pd.DataFrame(all_data).to_excel('D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\途虎客户手机号数据.xlsx',\n",
      "  1%|          | 52/5862 [00:59<1:51:23,  1.15s/it]\n",
      "C:\\Users\\Administrator.DESKTOP-7IC2USJ\\AppData\\Local\\Temp\\ipykernel_6332\\1673590231.py:44: SyntaxWarning: invalid escape sequence '\\I'\n",
      "  pd.DataFrame(all_data).to_excel('D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\途虎客户手机号数据.xlsx',\n"
     ]
    },
    {
     "ename": "JSONDecodeError",
     "evalue": "Expecting value: line 1 column 1 (char 0)",
     "output_type": "error",
     "traceback": [
      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[1;31mJSONDecodeError\u001B[0m                           Traceback (most recent call last)",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\requests\\models.py:974\u001B[0m, in \u001B[0;36mResponse.json\u001B[1;34m(self, **kwargs)\u001B[0m\n\u001B[0;32m    973\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 974\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m complexjson\u001B[38;5;241m.\u001B[39mloads(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mtext, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n\u001B[0;32m    975\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m JSONDecodeError \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[0;32m    976\u001B[0m     \u001B[38;5;66;03m# Catch JSON-related errors and raise as requests.JSONDecodeError\u001B[39;00m\n\u001B[0;32m    977\u001B[0m     \u001B[38;5;66;03m# This aliases json.JSONDecodeError and simplejson.JSONDecodeError\u001B[39;00m\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\json\\__init__.py:346\u001B[0m, in \u001B[0;36mloads\u001B[1;34m(s, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)\u001B[0m\n\u001B[0;32m    343\u001B[0m \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[0;32m    344\u001B[0m         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[0;32m    345\u001B[0m         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[1;32m--> 346\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m _default_decoder\u001B[38;5;241m.\u001B[39mdecode(s)\n\u001B[0;32m    347\u001B[0m \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",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\json\\decoder.py:337\u001B[0m, in \u001B[0;36mJSONDecoder.decode\u001B[1;34m(self, s, _w)\u001B[0m\n\u001B[0;32m    333\u001B[0m \u001B[38;5;250m\u001B[39m\u001B[38;5;124;03m\"\"\"Return the Python representation of ``s`` (a ``str`` instance\u001B[39;00m\n\u001B[0;32m    334\u001B[0m \u001B[38;5;124;03mcontaining a JSON document).\u001B[39;00m\n\u001B[0;32m    335\u001B[0m \n\u001B[0;32m    336\u001B[0m \u001B[38;5;124;03m\"\"\"\u001B[39;00m\n\u001B[1;32m--> 337\u001B[0m obj, end \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mraw_decode(s, idx\u001B[38;5;241m=\u001B[39m_w(s, \u001B[38;5;241m0\u001B[39m)\u001B[38;5;241m.\u001B[39mend())\n\u001B[0;32m    338\u001B[0m end \u001B[38;5;241m=\u001B[39m _w(s, end)\u001B[38;5;241m.\u001B[39mend()\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\json\\decoder.py:355\u001B[0m, in \u001B[0;36mJSONDecoder.raw_decode\u001B[1;34m(self, s, idx)\u001B[0m\n\u001B[0;32m    354\u001B[0m \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[1;32m--> 355\u001B[0m     \u001B[38;5;28;01mraise\u001B[39;00m JSONDecodeError(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mExpecting value\u001B[39m\u001B[38;5;124m\"\u001B[39m, s, err\u001B[38;5;241m.\u001B[39mvalue) \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m\n\u001B[0;32m    356\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m obj, end\n",
      "\u001B[1;31mJSONDecodeError\u001B[0m: Expecting value: line 1 column 1 (char 0)",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001B[1;31mJSONDecodeError\u001B[0m                           Traceback (most recent call last)",
      "Cell \u001B[1;32mIn[3], line 41\u001B[0m\n\u001B[0;32m     38\u001B[0m response \u001B[38;5;241m=\u001B[39m requests\u001B[38;5;241m.\u001B[39mpost(url, headers\u001B[38;5;241m=\u001B[39mheaders, data\u001B[38;5;241m=\u001B[39mpayload)\n\u001B[0;32m     40\u001B[0m \u001B[38;5;66;03m# print(response.text)\u001B[39;00m\n\u001B[1;32m---> 41\u001B[0m phone \u001B[38;5;241m=\u001B[39m response\u001B[38;5;241m.\u001B[39mjson()\u001B[38;5;241m.\u001B[39mget(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mdata\u001B[39m\u001B[38;5;124m'\u001B[39m, {})\u001B[38;5;241m.\u001B[39mget(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mphone\u001B[39m\u001B[38;5;124m'\u001B[39m, \u001B[38;5;124m'\u001B[39m\u001B[38;5;124m'\u001B[39m)\n\u001B[0;32m     42\u001B[0m all_data\u001B[38;5;241m.\u001B[39mappend({\u001B[38;5;124m'\u001B[39m\u001B[38;5;124muserId\u001B[39m\u001B[38;5;124m'\u001B[39m: userId, \u001B[38;5;124m'\u001B[39m\u001B[38;5;124mphone\u001B[39m\u001B[38;5;124m'\u001B[39m: phone})\n\u001B[0;32m     43\u001B[0m time\u001B[38;5;241m.\u001B[39msleep(\u001B[38;5;241m1\u001B[39m)\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\requests\\models.py:978\u001B[0m, in \u001B[0;36mResponse.json\u001B[1;34m(self, **kwargs)\u001B[0m\n\u001B[0;32m    974\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m complexjson\u001B[38;5;241m.\u001B[39mloads(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mtext, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n\u001B[0;32m    975\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m JSONDecodeError \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[0;32m    976\u001B[0m     \u001B[38;5;66;03m# Catch JSON-related errors and raise as requests.JSONDecodeError\u001B[39;00m\n\u001B[0;32m    977\u001B[0m     \u001B[38;5;66;03m# This aliases json.JSONDecodeError and simplejson.JSONDecodeError\u001B[39;00m\n\u001B[1;32m--> 978\u001B[0m     \u001B[38;5;28;01mraise\u001B[39;00m RequestsJSONDecodeError(e\u001B[38;5;241m.\u001B[39mmsg, e\u001B[38;5;241m.\u001B[39mdoc, e\u001B[38;5;241m.\u001B[39mpos)\n",
      "\u001B[1;31mJSONDecodeError\u001B[0m: Expecting value: line 1 column 1 (char 0)"
     ]
    }
   ],
   "execution_count": 3
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "历史维修记录\n",
    "\n",
    "该代码执行时间较长，authorization存在过期时间。"
   ],
   "id": "a92c8f3e0b9717e1"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-06T10:03:44.740983Z",
     "start_time": "2025-02-06T09:33:06.407413Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import requests\n",
    "import json\n",
    "import pandas as pd\n",
    "from tqdm import tqdm\n",
    "import re\n",
    "\n",
    "df = pd.DataFrame()\n",
    "\n",
    "for i in tqdm(range(360, 431)):\n",
    "    url = 'https://shop-gateway.tuhu.cn/mkt-shop-order-read/order-list-query/order-list'\n",
    "\n",
    "    headers = {\n",
    "        'apiVersion': '1.0.0',\n",
    "        'channel': 'S-SITE',\n",
    "        'deviceId': '05c6720e-ca19-4d7a-908c-4d60d20b7059',\n",
    "        'Content-Type': 'application/json;charset=UTF-8',\n",
    "        'authorization': 'Bearer eyJhbGciOiJSUzI1NiIsImtpZCI6ImhHeXFFYi0tZUFFYTExa2lhZGc4ZXBpSGU0VSIsInR5cCI6IkpXVCIsIng1dCI6ImhHeXFFYi0tZUFFYTExa2lhZGc4ZXBpSGU0VSJ9.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.X_3dGwdaI2Puq5jWwaGR7PPV3bLm2FCNynde_-6LKXvTXHyyctOfi5uD2BMqjvKrXPd7Mp99QtGOaM9a4J0GlWCwqezd9j-oL8cs1UZQlaiBuqVn9ngGY7OrmIzFpWxttHsjlyWUBlce5LGxDb1wvQjs5ZHFj8EduGIXFW8UYf8La7wnJIIkiZtA0iXHLnHR7Pu4y01hi4MZT8ALxoJ3mkqmvIg2IEejfWimLwPGR0zy9y0GcgxSsUzHeLwYikhy4h6C0x50Ow8_mZJBpTl09-sF_RIqwnPN9FuwwyDUQbOajdQCq9tt5JS87HU2fFPiV9Hx3O-Z7WRxg_BBYvCRHw',\n",
    "        #需要经常更换\n",
    "        'authtype': 'oidc',\n",
    "        'origin': 'https://shop.tuhu.cn',\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",
    "    }\n",
    "\n",
    "    json = {\"apiVersion\": \"1.0.0\", \"channel\": \"S-SITE\", \"deviceId\": \"05c6720e-ca19-4d7a-908c-4d60d20b7059\",\n",
    "            \"businessType\": 14, \"shopId\": 100727, \"generalOrderExtendRequest\": {\"pid\": \"\", \"productName\": \"\"},\n",
    "            \"productName\": \"\", \"pid\": \"\", \"deliveryType\": \"\", \"deliveryStatus\": \"\", \"containCarPro\": \"\", \"orderNo\": \"\",\n",
    "            \"carPlate\": \"\", \"orderChannel\": \"\", \"installType\": \"\", \"payMethod\": \"\", \"userTel\": \"\", \"orderStatus\": \"\",\n",
    "            \"payStatus\": \"\", \"installStatus\": \"\", \"orderType\": \"\", \"refNo\": \"\", \"relationRec\": 0, \"money\": \"\",\n",
    "            \"page\": i, \"size\": 20}\n",
    "\n",
    "    response = requests.post(url, headers=headers, json=json)\n",
    "    data = response.json()\n",
    "    # print(data)\n",
    "    # break\n",
    "    order_list = data.get('data', {}).get('results', [])\n",
    "    for order in order_list:\n",
    "        order_no = order.get('orderBase', '').get('orderNo', '')\n",
    "        # print(order_no)\n",
    "        userId = order.get('orderUsers', {}).get('userId', '')\n",
    "        # print(userId)\n",
    "\n",
    "        match = re.search(r'TH(\\d+)', order_no)\n",
    "        if match:\n",
    "            order_no = match.group(1)\n",
    "        else:\n",
    "            order_no = order_no\n",
    "        detail_url = f'https://shop-gateway.tuhu.cn/cl-bff-shop-sale/s-site/order/get-order-detail'\n",
    "\n",
    "        detail_json = {\"apiVersion\": \"1.0.0\", \"channel\": \"S-SITE\", \"deviceId\": userId,\n",
    "                       \"orderId\": order_no}\n",
    "        detail_response = requests.post(detail_url, headers=headers, json=detail_json)\n",
    "        detail_data = detail_response.json()\n",
    "        # print(detail_data)\n",
    "\n",
    "        order_base_info = detail_data.get('data', {}).get('orderBaseInfo', {})\n",
    "        payment_info = detail_data.get('data', {}).get('paymentInfo', {})\n",
    "        commodity_items = detail_data.get('data', {}).get('productList', {}).get('commodityItem', [])\n",
    "        service_items = detail_data.get('data', {}).get('productList', {}).get('serviceItem', [])\n",
    "        records = []\n",
    "\n",
    "        for commodity in commodity_items:\n",
    "            record = {**order_base_info, **payment_info, **{f'commodity_{k}': v for k, v in commodity.items()}}\n",
    "            records.append(record)\n",
    "\n",
    "        # 遍历serviceItem中的每一个服务项\n",
    "        for service in service_items:\n",
    "            record = {**order_base_info, **payment_info, **{f'service_{k}': v for k, v in service.items()}}\n",
    "            records.append(record)\n",
    "\n",
    "        df = pd.concat([df, pd.DataFrame(records)], ignore_index=True)\n",
    "        # print(df)\n",
    "\n",
    "        time.sleep(0.5)\n",
    "df.to_excel(fr'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\途虎养车历史维修记录3.xlsx', index=False)\n"
   ],
   "id": "a7838974e7ec5a95",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 71/71 [30:32<00:00, 25.81s/it]\n"
     ]
    }
   ],
   "execution_count": 51
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-06T09:26:30.353552Z",
     "start_time": "2025-02-06T09:26:20.857691Z"
    }
   },
   "cell_type": "code",
   "source": "df.to_excel(fr'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\途虎养车历史维修记录3.xlsx', index=False)",
   "id": "e66bbf0fbc7d3f5",
   "outputs": [],
   "execution_count": 49
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "供应商信息",
   "id": "b756d9d508be366b"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-07T02:53:41.872890Z",
     "start_time": "2025-02-07T02:51:25.758324Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import requests\n",
    "import pandas as pd\n",
    "import os\n",
    "from urllib.parse import urlparse\n",
    "import openpyxl\n",
    "from openpyxl.utils import get_column_letter\n",
    "from tqdm import tqdm\n",
    "\n",
    "df = pd.DataFrame()\n",
    "all_keys = set()\n",
    "df['手机号'] = ''\n",
    "df[\"营业执照\"] = ''\n",
    "df[\"门头照片\"] =''\n",
    "df[\"营业执照链接\"] = ''\n",
    "df[\"门头照片链接\"] = ''\n",
    "\n",
    "\n",
    "# 创建一个文件夹来存放下载的图片（假设与Excel文件在同一目录）\n",
    "base_folder = r'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\途虎养车供应商信息'  # Excel文件所在的目录\n",
    "download_folder = os.path.join(base_folder, 'downloaded_images')\n",
    "if not os.path.exists(download_folder):\n",
    "    os.makedirs(download_folder)\n",
    "\n",
    "def download_image(img_url, folder_path):\n",
    "    \"\"\"下载图片并保存到指定文件夹\"\"\"\n",
    "    try:\n",
    "        # 检查是否为有效URL\n",
    "        if not img_url.startswith(('http://', 'https://')):\n",
    "            # print(f\"Invalid URL: {img_url}\")\n",
    "            return None\n",
    "\n",
    "        response = requests.get(img_url)\n",
    "        if response.status_code == 200:\n",
    "            # 提取文件名\n",
    "            parsed_url = urlparse(img_url)\n",
    "            file_name = os.path.basename(parsed_url.path)\n",
    "            if not file_name:\n",
    "                file_name = 'image.jpg'  # 默认文件名\n",
    "\n",
    "            # 构建保存路径\n",
    "            save_path = os.path.join(folder_path, file_name)\n",
    "\n",
    "            with open(save_path, 'wb') as handler:\n",
    "                handler.write(response.content)\n",
    "            return save_path\n",
    "        else:\n",
    "            print(f\"Failed to download image from {img_url}, status code: {response.status_code}\")\n",
    "            return None\n",
    "    except Exception as e:\n",
    "        print(f\"Error downloading image from {img_url}: {str(e)}\")\n",
    "        return None\n",
    "\n",
    "def parse_pics_string(pics_str):\n",
    "    \"\"\"将包含多个图片链接的字符串解析为URL列表\"\"\"\n",
    "    if isinstance(pics_str, str):\n",
    "        # 假设图片链接是以逗号分隔的字符串\n",
    "        pics_list = [url.strip() for url in pics_str.split(',')]\n",
    "    else:\n",
    "        pics_list = []\n",
    "    return pics_list\n",
    "\n",
    "def process_pics_column(pics_str, folder_path):\n",
    "    \"\"\"处理每行的图片链接字符串，下载图片并存储其路径\"\"\"\n",
    "    pics_list = parse_pics_string(pics_str)\n",
    "    return [download_image(pic, folder_path) for pic in pics_list]\n",
    "\n",
    "def create_relative_hyperlink(path):\n",
    "    \"\"\"创建相对路径的超链接\"\"\"\n",
    "    relative_path = os.path.relpath(path, start=base_folder).replace(os.sep, '/')\n",
    "    return f'=HYPERLINK(\"{relative_path}\", \"Open Image\")'\n",
    "\n",
    "for i in tqdm(range(1, 9), desc='Processing rows'):\n",
    "    url = 'https://shop-gateway.tuhu.cn/shop-purchase/shop/supplier/search-suppliers-v1'\n",
    "    \n",
    "    headers = {\n",
    "        'apiVersion': '1.0.0',\n",
    "        'channel': 'S-SITE',\n",
    "        'deviceId': '05c6720e-ca19-4d7a-908c-4d60d20b7059',\n",
    "        'Content-Type': 'application/json;charset=UTF-8',\n",
    "        'authorization': 'Bearer eyJhbGciOiJSUzI1NiIsImtpZCI6ImhHeXFFYi0tZUFFYTExa2lhZGc4ZXBpSGU0VSIsInR5cCI6IkpXVCIsIng1dCI6ImhHeXFFYi0tZUFFYTExa2lhZGc4ZXBpSGU0VSJ9.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.XQdMNGP5qeU3B4A-1LClQ9ApsWAEC20KGYbwNbXsC8vcjNOJjxQEj7b659Ns3ncDEyGASQseJCkApq1VdzJ_lTffDubmXj2KJmXn4sWbkWRnWiOM-RDCuw4Nhl8FpiTnl-PnugAHtb7q4WJ2GJgHTn97129KZOa5KcO5vUuMSmykorIPcwPY3KIW-EB72LPuQkyhFRxGe19-FNXH3YUHzp5PN_ijrscL4_sMTr8YzV9PAPBg9L_DbFRaPP_xTyDDX08RueUVaBB73uVWZxQPwpqFP72DrhdOe291QVdKgxYtFrJK_JELM3RUBbooOV_VcVwecw6IE01u7omqXR6_pg',\n",
    "        #需要经常更换\n",
    "        'authtype': 'oidc',\n",
    "        'origin': 'https://shop.tuhu.cn',\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",
    "    }\n",
    "    vendor_json = {\"apiVersion\": \"1.0.0\", \"channel\": \"S-SITE\", \"deviceId\": \"05c6720e-ca19-4d7a-908c-4d60d20b7059\",\n",
    "                   \"companyName\": \"\", \"status\": -1, \"pageNum\": i, \"pageSize\": 10, \"checked\": \"null\"}\n",
    "    \n",
    "    response = requests.post(url, headers=headers, json=vendor_json)\n",
    "    data = response.json().get('data', {})\n",
    "    data_list = data.get('list', [])\n",
    "    # print(data_list)\n",
    "    for item in data_list:\n",
    "        # company_name = item.get('companyName', '')\n",
    "        # supplier_address = item.get('supplierAddress', '')\n",
    "        mobile = item.get('mobile', '')\n",
    "        pk_id = item.get('pkId', '')\n",
    "    \n",
    "        # 请求的URL\n",
    "        url = \"https://shop-gateway.tuhu.cn/shop-purchase/purchase/common/encrypt-data\"\n",
    "    \n",
    "        # 请求的查询参数\n",
    "        params = {\n",
    "            'apiVersion': '1.0.0',\n",
    "            'channel': 'S-SITE',\n",
    "            'deviceId': '05c6720e-ca19-4d7a-908c-4d60d20b7059',\n",
    "            'encryptData': mobile\n",
    "        }\n",
    "    \n",
    "        # 请求头\n",
    "        headers = {\n",
    "            'accept': 'application/json, text/plain, */*',\n",
    "            'authorization': 'Bearer eyJhbGciOiJSUzI1NiIsImtpZCI6ImhHeXFFYi0tZUFFYTExa2lhZGc4ZXBpSGU0VSIsInR5cCI6IkpXVCIsIng1dCI6ImhHeXFFYi0tZUFFYTExa2lhZGc4ZXBpSGU0VSJ9.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.XQdMNGP5qeU3B4A-1LClQ9ApsWAEC20KGYbwNbXsC8vcjNOJjxQEj7b659Ns3ncDEyGASQseJCkApq1VdzJ_lTffDubmXj2KJmXn4sWbkWRnWiOM-RDCuw4Nhl8FpiTnl-PnugAHtb7q4WJ2GJgHTn97129KZOa5KcO5vUuMSmykorIPcwPY3KIW-EB72LPuQkyhFRxGe19-FNXH3YUHzp5PN_ijrscL4_sMTr8YzV9PAPBg9L_DbFRaPP_xTyDDX08RueUVaBB73uVWZxQPwpqFP72DrhdOe291QVdKgxYtFrJK_JELM3RUBbooOV_VcVwecw6IE01u7omqXR6_pg',\n",
    "            # 请替换为您的实际访问令牌\n",
    "            'authtype': 'oidc',\n",
    "            'channel': 'S-SITE',\n",
    "            'deviceid': '05c6720e-ca19-4d7a-908c-4d60d20b7059',\n",
    "            'origin': 'https://shop.tuhu.cn',\n",
    "            'referer': 'https://shop.tuhu.cn/',\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",
    "        }\n",
    "        # 发送GET请求\n",
    "        phone_response = requests.get(url=url, headers=headers, params=params)\n",
    "        phone = phone_response.json().get('data', {})\n",
    "        time.sleep(0.5)\n",
    "    \n",
    "        detail_url = f'https://shop-gateway.tuhu.cn/shop-purchase/shop/supplier/get-shop-supplier-info'\n",
    "        params = {\n",
    "            'apiVersion': '1.0.0',\n",
    "            'channel': 'S-SITE',\n",
    "            'deviceId': '05c6720e-ca19-4d7a-908c-4d60d20b7059',\n",
    "            'pkId': pk_id\n",
    "        }\n",
    "        detail_response = requests.get(url=detail_url, headers=headers, params=params)\n",
    "        details = detail_response.json().get('data', {})\n",
    "        # 收集所有出现过的键\n",
    "        all_keys.update(details.keys())\n",
    "    \n",
    "        # 创建临时DataFrame\n",
    "        df_temp = pd.DataFrame([details])\n",
    "        df_temp['手机号'] = phone\n",
    "    \n",
    "        # 确保每个details字典都包含所有可能的键\n",
    "        for key in all_keys:\n",
    "            if key not in df_temp.columns:\n",
    "                df_temp[key] = None  # 或者使用其他合适的默认值，如空字符串 ''\n",
    "        \n",
    "        # 将临时DataFrame合并到最终的DataFrame中\n",
    "        df = pd.concat([df, df_temp], ignore_index=True)\n",
    "        \n",
    "        time.sleep(0.5)\n",
    "\n",
    "df[\"营业执照\"] = df['pics'].apply(lambda x: process_pics_column(x, download_folder))\n",
    "df[\"门头照片\"] = df['frontDoorPhoto'].apply(lambda x: process_pics_column(x, download_folder))\n",
    "# 将图片路径转换为相对路径的超链接\n",
    "df[\"营业执照链接\"] = df[\"营业执照\"].apply(lambda x: create_relative_hyperlink(x[0]) if x and x[0] else '')\n",
    "df[\"门头照片链接\"] = df[\"门头照片\"].apply(lambda x: create_relative_hyperlink(x[0]) if x and x[0] else '')\n",
    "output_excel_path = os.path.join(base_folder, '途虎养车供应商信息.xlsx')\n",
    "df.to_excel(output_excel_path, index=False)\n",
    "# 使用openpyxl调整Excel文件以确保超链接正确显示\n",
    "wb = openpyxl.load_workbook(output_excel_path)\n",
    "ws = wb.active\n",
    "# 设置列宽以适应超链接文本\n",
    "for col in ws.columns:\n",
    "    max_length = 0\n",
    "    column = get_column_letter(col[0].column)  # Get the column name\n",
    "    for cell in col:\n",
    "        try:  # Necessary to avoid error on empty cells\n",
    "            if len(str(cell.value)) > max_length:\n",
    "                max_length = len(str(cell.value))\n",
    "        except:\n",
    "            pass\n",
    "    adjusted_width = (max_length + 2)\n",
    "    ws.column_dimensions[column].width = adjusted_width\n",
    "\n",
    "# 保存修改后的Excel文件\n",
    "wb.save(output_excel_path)"
   ],
   "id": "e97d8dbfdab19982",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Processing rows: 100%|██████████| 8/8 [01:34<00:00, 11.75s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Failed to download image from https://img1.tuhu.org/tech/pic/-mn6qAeSHiWPKul3bJF_cA_w1706_h1280.jpeg;https://img1.tuhu.org/tech/pic/WZvnzMOto4XdUUc0PJQs_Q_w1706_h1280.jpeg, status code: 404\n",
      "Failed to download image from https://img4.tuhu.org/tech/pic/QFYtszYdD26Wq7JU7hR25w_w1920_h862.jpeg;https://img4.tuhu.org/tech/pic/mL5yS0puYtk-BXZT2MKHDA_w1920_h862.jpeg, status code: 404\n",
      "Failed to download image from https://img3.tuhu.org/tech/pic/DoHsyVV5zmNq-TJM9cTbtA_w1600_h719.jpeg;https://img3.tuhu.org/tech/pic/vfwBuEyxmjiFYrirZUQpng_w1600_h719.jpeg, status code: 404\n",
      "Failed to download image from https://img3.tuhu.org//hpDZDhPYMUXCMZGtXK9x9A_w1000_h322.jpeg;, status code: 404\n",
      "Failed to download image from https://img1.tuhu.org//39/5efe/6b08685657b1c626b159042103_w166_h220.jpg;, status code: 404\n",
      "Failed to download image from https://img3.tuhu.org//yewu/tuhu_shop/SupplierPics/4a9f/9e55/48da7df3ecb2e827c8c82024_w523_h767.png;, status code: 404\n"
     ]
    }
   ],
   "execution_count": 87
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-07T02:14:48.367003Z",
     "start_time": "2025-02-07T02:14:48.361914Z"
    }
   },
   "cell_type": "code",
   "source": "output_excel_path = os.path.join(base_folder, '途虎养车供应商信息.xlsx')",
   "id": "2a5dc57468ebc69a",
   "outputs": [],
   "execution_count": 78
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "途虎历史维修记录创建时间",
   "id": "9f57b24905bb9541"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-19T09:28:31.025839Z",
     "start_time": "2025-02-19T09:28:25.992131Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import requests\n",
    "import json\n",
    "import pandas as pd\n",
    "from tqdm import tqdm\n",
    "import re\n",
    "\n",
    "df = pd.DataFrame()\n",
    "\n",
    "for i in tqdm(range(1, 431)):\n",
    "    url = 'https://shop-gateway.tuhu.cn/mkt-shop-order-read/order-list-query/order-list'\n",
    "\n",
    "    headers = {\n",
    "        'apiVersion': '1.0.0',\n",
    "        'channel': 'S-SITE',\n",
    "        'deviceId': '05c6720e-ca19-4d7a-908c-4d60d20b7059',\n",
    "        'Content-Type': 'application/json;charset=UTF-8',\n",
    "        'authorization': 'Bearer eyJhbGciOiJSUzI1NiIsImtpZCI6ImhHeXFFYi0tZUFFYTExa2lhZGc4ZXBpSGU0VSIsInR5cCI6IkpXVCIsIng1dCI6ImhHeXFFYi0tZUFFYTExa2lhZGc4ZXBpSGU0VSJ9.eyJuYmYiOjE3Mzk5NTU0MzQsImV4cCI6MTczOTk1OTAzNCwiaXNzIjoiaHR0cHM6Ly9hY2Nlc3MudHVodS5jbiIsImF1ZCI6WyJodHRwczovL2FjY2Vzcy50dWh1LmNuL3Jlc291cmNlcyIsInNpdGVfcyIsInNpdGVfc2FwaSIsInNpdGVfc2hvcGFwaSIsInNpdGVfd29ya3Nob3BhcGkiLCJ5ZXd1YXBpIl0sImNsaWVudF9pZCI6InNob3AudHVodS5jbiIsInN1YiI6IjA4ZGEyN2ZlNjQyYzQ5YmU4MGUxYzUwMjhlMzc3ZTkyIiwiYXV0aF90aW1lIjoxNzM5OTU1NDM0LCJpZHAiOiJUZWNobmljaWFuIiwibmFtZSI6IuWImOmTgeWGmyIsImlkIjo1NDIxNzgsInBob25lX251bWJlciI6IjEzMDE1MDYzOTk5IiwiYWNjb3VudF9sZXZlbCI6MTAsInNjb3BlIjpbIm9wZW5pZCIsIm5hbWUiLCJzaXRlX3MiLCJzaXRlX3NhcGkiLCJzaXRlX3Nob3BhcGkiLCJzaXRlX3dvcmtzaG9wYXBpIiwieWV3dWFwaSIsIm9mZmxpbmVfYWNjZXNzIl0sImFtciI6WyJUZWNobmljaWFuIl19.kLvdR8MgbfAOk02PRoXS7ldBiBdb3XYm5VCCt8y0IkslaRWGF60q6xO5rCyz0Dht6jJAM_7W12SYZfurWq3WQVSddGHviyxRO7AN4nyll6fJmIfjb2gSE9NE5zU2fFFv7oK2rTGlO6HLZhWLPu4lgBIjF_86RCbEkRZYO_4FQoGO_MlCZ-9wfEMlfneLnnwDb9vbz9iyS7gtFPCOrlmYzs6zDfJ4HtyJWiu1q6kGHaIl9-ouyJHpTIuAuYFDPv4wHsWEf8Lkdb4RpnEGcFjjlpsQ2--kgXbppF0QD_2_ZMDzuBii6AYzeh0zXWhgYlDJC3Rm6JFUbZk0cjOWKjKRIA',\n",
    "        #需要经常更换\n",
    "        'authtype': 'oidc',\n",
    "        'origin': 'https://shop.tuhu.cn',\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",
    "    }\n",
    "\n",
    "    json = {\"apiVersion\": \"1.0.0\", \"channel\": \"S-SITE\", \"deviceId\": \"05c6720e-ca19-4d7a-908c-4d60d20b7059\",\n",
    "            \"businessType\": 14, \"shopId\": 100727, \"generalOrderExtendRequest\": {\"pid\": \"\", \"productName\": \"\"},\n",
    "            \"productName\": \"\", \"pid\": \"\", \"deliveryType\": \"\", \"deliveryStatus\": \"\", \"containCarPro\": \"\", \"orderNo\": \"\",\n",
    "            \"carPlate\": \"\", \"orderChannel\": \"\", \"installType\": \"\", \"payMethod\": \"\", \"userTel\": \"\", \"orderStatus\": \"\",\n",
    "            \"payStatus\": \"\", \"installStatus\": \"\", \"orderType\": \"\", \"refNo\": \"\", \"relationRec\": 0, \"money\": \"\",\n",
    "            \"page\": i, \"size\": 20}\n",
    "\n",
    "    response = requests.post(url, headers=headers, json=json)\n",
    "    data = response.json()\n",
    "    # print(data)\n",
    "    # break\n",
    "    order_list = data.get('data', {}).get('results', [])\n",
    "    for order in order_list:\n",
    "        order_no = order.get('orderBase', '').get('orderNo', '')\n",
    "        # print(order_no)\n",
    "        userId = order.get('orderUsers', {}).get('userId', '')\n",
    "        orderDatetime = order.get('orderBase', {}).get('orderDatetime', '')\n",
    "        # print(userId)\n",
    "\n",
    "        match = re.search(r'TH(\\d+)', order_no)\n",
    "        if match:\n",
    "            order_no = match.group(1)\n",
    "        else:\n",
    "            order_no = order_no\n",
    "        detail_url = f'https://shop-gateway.tuhu.cn/cl-bff-shop-sale/s-site/order/get-order-detail'\n",
    "\n",
    "        detail_json = {\"apiVersion\": \"1.0.0\", \"channel\": \"S-SITE\", \"deviceId\": userId,\n",
    "                       \"orderId\": order_no}\n",
    "        detail_response = requests.post(detail_url, headers=headers, json=detail_json)\n",
    "        detail_data = detail_response.json()\n",
    "        # print(detail_data)\n",
    "\n",
    "        order_base_info = detail_data.get('data', {}).get('orderBaseInfo', {})\n",
    "        payment_info = detail_data.get('data', {}).get('paymentInfo', {})\n",
    "        commodity_items = detail_data.get('data', {}).get('productList', {}).get('commodityItem', [])\n",
    "        service_items = detail_data.get('data', {}).get('productList', {}).get('serviceItem', [])\n",
    "        order_base_info[\"orderDatetime\"] = orderDatetime\n",
    "        records = []\n",
    "\n",
    "        for commodity in commodity_items:\n",
    "            record = {**order_base_info, **payment_info, **{f'commodity_{k}': v for k, v in commodity.items()}}\n",
    "            records.append(record)\n",
    "\n",
    "        # 遍历serviceItem中的每一个服务项\n",
    "        for service in service_items:\n",
    "            record = {**order_base_info, **payment_info, **{f'service_{k}': v for k, v in service.items()}}\n",
    "            records.append(record)\n",
    "        \n",
    "        df = pd.concat([df, pd.DataFrame(records)], ignore_index=True)\n",
    "    \n",
    "        \n",
    "        time.sleep(0.5)\n",
    "df.to_excel(fr'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\途虎养车历史维修记录3.xlsx', index=False)\n"
   ],
   "id": "f69a9e6f0d7787e2",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/430 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     orderId      orderNo     status               remark orderChannel  \\\n",
      "0  892839564  TH892839564  7Canceled  售后拆单,来自订单：828036703          8手机   \n",
      "\n",
      "  orderType                                  extraInfo receiveId statusValue  \\\n",
      "0       1普通  {'orderTags': ['后日达'], 'currency': 'CNY'}      None       订单已取消   \n",
      "\n",
      "  plateNumber  ... service_isStar service_purchaseOrderIdList  \\\n",
      "0     蒙B986NS  ...          False                          []   \n",
      "\n",
      "  service_wcPurchaseOrderIdList service_mdwcNum service_thphNum  \\\n",
      "0                            []               0               0   \n",
      "\n",
      "  service_showValveTip service_purchaseStatusValue service_cargoOwner  \\\n",
      "0                False                         已采购               None   \n",
      "\n",
      "  service_stock service_stockStatus  \n",
      "0            可用                   1  \n",
      "\n",
      "[1 rows x 62 columns]\n",
      "     orderId      orderNo     status               remark orderChannel  \\\n",
      "0  892839564  TH892839564  7Canceled  售后拆单,来自订单：828036703          8手机   \n",
      "1  892879382  TH892879382   2Shipped                              p拼多多   \n",
      "2  892879382  TH892879382   2Shipped                              p拼多多   \n",
      "3  892879382  TH892879382   2Shipped                              p拼多多   \n",
      "\n",
      "  orderType                                  extraInfo receiveId statusValue  \\\n",
      "0       1普通  {'orderTags': ['后日达'], 'currency': 'CNY'}      None       订单已取消   \n",
      "1       1普通       {'orderTags': [], 'currency': 'CNY'}      None         已发货   \n",
      "2       1普通       {'orderTags': [], 'currency': 'CNY'}      None         已发货   \n",
      "3       1普通       {'orderTags': [], 'currency': 'CNY'}      None         已发货   \n",
      "\n",
      "  plateNumber  ... commodity_isStar commodity_purchaseOrderIdList  \\\n",
      "0     蒙B986NS  ...              NaN                           NaN   \n",
      "1         NaN  ...            False                            []   \n",
      "2         NaN  ...            False                            []   \n",
      "3         NaN  ...              NaN                           NaN   \n",
      "\n",
      "  commodity_wcPurchaseOrderIdList commodity_mdwcNum commodity_thphNum  \\\n",
      "0                             NaN               NaN               NaN   \n",
      "1                              []               0.0               2.0   \n",
      "2                              []               0.0               2.0   \n",
      "3                             NaN               NaN               NaN   \n",
      "\n",
      "  commodity_showValveTip commodity_purchaseStatusValue commodity_cargoOwner  \\\n",
      "0                    NaN                           NaN                  NaN   \n",
      "1                  False                           已采购               途虎:2\\n   \n",
      "2                  False                           已采购               途虎:2\\n   \n",
      "3                    NaN                           NaN                  NaN   \n",
      "\n",
      "  commodity_stock commodity_stockStatus  \n",
      "0             NaN                   NaN  \n",
      "1              可用                   1.0  \n",
      "2              可用                   1.0  \n",
      "3             NaN                   NaN  \n",
      "\n",
      "[4 rows x 83 columns]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/430 [00:04<?, ?it/s]\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[1;31mKeyboardInterrupt\u001B[0m                         Traceback (most recent call last)",
      "Cell \u001B[1;32mIn[11], line 52\u001B[0m\n\u001B[0;32m     48\u001B[0m detail_url \u001B[38;5;241m=\u001B[39m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mhttps://shop-gateway.tuhu.cn/cl-bff-shop-sale/s-site/order/get-order-detail\u001B[39m\u001B[38;5;124m'\u001B[39m\n\u001B[0;32m     50\u001B[0m detail_json \u001B[38;5;241m=\u001B[39m {\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mapiVersion\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m1.0.0\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mchannel\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mS-SITE\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mdeviceId\u001B[39m\u001B[38;5;124m\"\u001B[39m: userId,\n\u001B[0;32m     51\u001B[0m                \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124morderId\u001B[39m\u001B[38;5;124m\"\u001B[39m: order_no}\n\u001B[1;32m---> 52\u001B[0m detail_response \u001B[38;5;241m=\u001B[39m requests\u001B[38;5;241m.\u001B[39mpost(detail_url, headers\u001B[38;5;241m=\u001B[39mheaders, json\u001B[38;5;241m=\u001B[39mdetail_json)\n\u001B[0;32m     53\u001B[0m detail_data \u001B[38;5;241m=\u001B[39m detail_response\u001B[38;5;241m.\u001B[39mjson()\n\u001B[0;32m     54\u001B[0m \u001B[38;5;66;03m# print(detail_data)\u001B[39;00m\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\requests\\api.py:115\u001B[0m, in \u001B[0;36mpost\u001B[1;34m(url, data, json, **kwargs)\u001B[0m\n\u001B[0;32m    103\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mpost\u001B[39m(url, data\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mNone\u001B[39;00m, json\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mNone\u001B[39;00m, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs):\n\u001B[0;32m    104\u001B[0m \u001B[38;5;250m    \u001B[39m\u001B[38;5;124mr\u001B[39m\u001B[38;5;124;03m\"\"\"Sends a POST request.\u001B[39;00m\n\u001B[0;32m    105\u001B[0m \n\u001B[0;32m    106\u001B[0m \u001B[38;5;124;03m    :param url: URL for the new :class:`Request` object.\u001B[39;00m\n\u001B[1;32m   (...)\u001B[0m\n\u001B[0;32m    112\u001B[0m \u001B[38;5;124;03m    :rtype: requests.Response\u001B[39;00m\n\u001B[0;32m    113\u001B[0m \u001B[38;5;124;03m    \"\"\"\u001B[39;00m\n\u001B[1;32m--> 115\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m request(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mpost\u001B[39m\u001B[38;5;124m\"\u001B[39m, url, data\u001B[38;5;241m=\u001B[39mdata, json\u001B[38;5;241m=\u001B[39mjson, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\requests\\api.py:59\u001B[0m, in \u001B[0;36mrequest\u001B[1;34m(method, url, **kwargs)\u001B[0m\n\u001B[0;32m     55\u001B[0m \u001B[38;5;66;03m# By using the 'with' statement we are sure the session is closed, thus we\u001B[39;00m\n\u001B[0;32m     56\u001B[0m \u001B[38;5;66;03m# avoid leaving sockets open which can trigger a ResourceWarning in some\u001B[39;00m\n\u001B[0;32m     57\u001B[0m \u001B[38;5;66;03m# cases, and look like a memory leak in others.\u001B[39;00m\n\u001B[0;32m     58\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m sessions\u001B[38;5;241m.\u001B[39mSession() \u001B[38;5;28;01mas\u001B[39;00m session:\n\u001B[1;32m---> 59\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m session\u001B[38;5;241m.\u001B[39mrequest(method\u001B[38;5;241m=\u001B[39mmethod, url\u001B[38;5;241m=\u001B[39murl, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\requests\\sessions.py:589\u001B[0m, in \u001B[0;36mSession.request\u001B[1;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001B[0m\n\u001B[0;32m    584\u001B[0m send_kwargs \u001B[38;5;241m=\u001B[39m {\n\u001B[0;32m    585\u001B[0m     \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mtimeout\u001B[39m\u001B[38;5;124m\"\u001B[39m: timeout,\n\u001B[0;32m    586\u001B[0m     \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mallow_redirects\u001B[39m\u001B[38;5;124m\"\u001B[39m: allow_redirects,\n\u001B[0;32m    587\u001B[0m }\n\u001B[0;32m    588\u001B[0m send_kwargs\u001B[38;5;241m.\u001B[39mupdate(settings)\n\u001B[1;32m--> 589\u001B[0m resp \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39msend(prep, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39msend_kwargs)\n\u001B[0;32m    591\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m resp\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\requests\\sessions.py:703\u001B[0m, in \u001B[0;36mSession.send\u001B[1;34m(self, request, **kwargs)\u001B[0m\n\u001B[0;32m    700\u001B[0m start \u001B[38;5;241m=\u001B[39m preferred_clock()\n\u001B[0;32m    702\u001B[0m \u001B[38;5;66;03m# Send the request\u001B[39;00m\n\u001B[1;32m--> 703\u001B[0m r \u001B[38;5;241m=\u001B[39m adapter\u001B[38;5;241m.\u001B[39msend(request, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n\u001B[0;32m    705\u001B[0m \u001B[38;5;66;03m# Total elapsed time of the request (approximately)\u001B[39;00m\n\u001B[0;32m    706\u001B[0m elapsed \u001B[38;5;241m=\u001B[39m preferred_clock() \u001B[38;5;241m-\u001B[39m start\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\requests\\adapters.py:589\u001B[0m, in \u001B[0;36mHTTPAdapter.send\u001B[1;34m(self, request, stream, timeout, verify, cert, proxies)\u001B[0m\n\u001B[0;32m    586\u001B[0m     timeout \u001B[38;5;241m=\u001B[39m TimeoutSauce(connect\u001B[38;5;241m=\u001B[39mtimeout, read\u001B[38;5;241m=\u001B[39mtimeout)\n\u001B[0;32m    588\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 589\u001B[0m     resp \u001B[38;5;241m=\u001B[39m conn\u001B[38;5;241m.\u001B[39murlopen(\n\u001B[0;32m    590\u001B[0m         method\u001B[38;5;241m=\u001B[39mrequest\u001B[38;5;241m.\u001B[39mmethod,\n\u001B[0;32m    591\u001B[0m         url\u001B[38;5;241m=\u001B[39murl,\n\u001B[0;32m    592\u001B[0m         body\u001B[38;5;241m=\u001B[39mrequest\u001B[38;5;241m.\u001B[39mbody,\n\u001B[0;32m    593\u001B[0m         headers\u001B[38;5;241m=\u001B[39mrequest\u001B[38;5;241m.\u001B[39mheaders,\n\u001B[0;32m    594\u001B[0m         redirect\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m,\n\u001B[0;32m    595\u001B[0m         assert_same_host\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m,\n\u001B[0;32m    596\u001B[0m         preload_content\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m,\n\u001B[0;32m    597\u001B[0m         decode_content\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m,\n\u001B[0;32m    598\u001B[0m         retries\u001B[38;5;241m=\u001B[39m\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mmax_retries,\n\u001B[0;32m    599\u001B[0m         timeout\u001B[38;5;241m=\u001B[39mtimeout,\n\u001B[0;32m    600\u001B[0m         chunked\u001B[38;5;241m=\u001B[39mchunked,\n\u001B[0;32m    601\u001B[0m     )\n\u001B[0;32m    603\u001B[0m \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[0;32m    604\u001B[0m     \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mConnectionError\u001B[39;00m(err, request\u001B[38;5;241m=\u001B[39mrequest)\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\urllib3\\connectionpool.py:789\u001B[0m, in \u001B[0;36mHTTPConnectionPool.urlopen\u001B[1;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[0m\n\u001B[0;32m    786\u001B[0m response_conn \u001B[38;5;241m=\u001B[39m 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[0;32m    788\u001B[0m \u001B[38;5;66;03m# Make the request on the HTTPConnection object\u001B[39;00m\n\u001B[1;32m--> 789\u001B[0m response \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_make_request(\n\u001B[0;32m    790\u001B[0m     conn,\n\u001B[0;32m    791\u001B[0m     method,\n\u001B[0;32m    792\u001B[0m     url,\n\u001B[0;32m    793\u001B[0m     timeout\u001B[38;5;241m=\u001B[39mtimeout_obj,\n\u001B[0;32m    794\u001B[0m     body\u001B[38;5;241m=\u001B[39mbody,\n\u001B[0;32m    795\u001B[0m     headers\u001B[38;5;241m=\u001B[39mheaders,\n\u001B[0;32m    796\u001B[0m     chunked\u001B[38;5;241m=\u001B[39mchunked,\n\u001B[0;32m    797\u001B[0m     retries\u001B[38;5;241m=\u001B[39mretries,\n\u001B[0;32m    798\u001B[0m     response_conn\u001B[38;5;241m=\u001B[39mresponse_conn,\n\u001B[0;32m    799\u001B[0m     preload_content\u001B[38;5;241m=\u001B[39mpreload_content,\n\u001B[0;32m    800\u001B[0m     decode_content\u001B[38;5;241m=\u001B[39mdecode_content,\n\u001B[0;32m    801\u001B[0m     \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mresponse_kw,\n\u001B[0;32m    802\u001B[0m )\n\u001B[0;32m    804\u001B[0m \u001B[38;5;66;03m# Everything went great!\u001B[39;00m\n\u001B[0;32m    805\u001B[0m clean_exit \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mTrue\u001B[39;00m\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\urllib3\\connectionpool.py:536\u001B[0m, in \u001B[0;36mHTTPConnectionPool._make_request\u001B[1;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\u001B[0m\n\u001B[0;32m    534\u001B[0m \u001B[38;5;66;03m# Receive the response from the server\u001B[39;00m\n\u001B[0;32m    535\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 536\u001B[0m     response \u001B[38;5;241m=\u001B[39m conn\u001B[38;5;241m.\u001B[39mgetresponse()\n\u001B[0;32m    537\u001B[0m \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[0;32m    538\u001B[0m     \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_raise_timeout(err\u001B[38;5;241m=\u001B[39me, url\u001B[38;5;241m=\u001B[39murl, timeout_value\u001B[38;5;241m=\u001B[39mread_timeout)\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\urllib3\\connection.py:464\u001B[0m, in \u001B[0;36mHTTPConnection.getresponse\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m    461\u001B[0m \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mresponse\u001B[39;00m \u001B[38;5;28;01mimport\u001B[39;00m HTTPResponse\n\u001B[0;32m    463\u001B[0m \u001B[38;5;66;03m# Get the response from http.client.HTTPConnection\u001B[39;00m\n\u001B[1;32m--> 464\u001B[0m httplib_response \u001B[38;5;241m=\u001B[39m \u001B[38;5;28msuper\u001B[39m()\u001B[38;5;241m.\u001B[39mgetresponse()\n\u001B[0;32m    466\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[0;32m    467\u001B[0m     assert_header_parsing(httplib_response\u001B[38;5;241m.\u001B[39mmsg)\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\http\\client.py:1428\u001B[0m, in \u001B[0;36mHTTPConnection.getresponse\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m   1426\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[0;32m   1427\u001B[0m     \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m-> 1428\u001B[0m         response\u001B[38;5;241m.\u001B[39mbegin()\n\u001B[0;32m   1429\u001B[0m     \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mConnectionError\u001B[39;00m:\n\u001B[0;32m   1430\u001B[0m         \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mclose()\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\http\\client.py:331\u001B[0m, in \u001B[0;36mHTTPResponse.begin\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m    329\u001B[0m \u001B[38;5;66;03m# read until we get a non-100 response\u001B[39;00m\n\u001B[0;32m    330\u001B[0m \u001B[38;5;28;01mwhile\u001B[39;00m \u001B[38;5;28;01mTrue\u001B[39;00m:\n\u001B[1;32m--> 331\u001B[0m     version, status, reason \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_read_status()\n\u001B[0;32m    332\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m status \u001B[38;5;241m!=\u001B[39m CONTINUE:\n\u001B[0;32m    333\u001B[0m         \u001B[38;5;28;01mbreak\u001B[39;00m\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\http\\client.py:292\u001B[0m, in \u001B[0;36mHTTPResponse._read_status\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m    291\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21m_read_status\u001B[39m(\u001B[38;5;28mself\u001B[39m):\n\u001B[1;32m--> 292\u001B[0m     line \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mstr\u001B[39m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mfp\u001B[38;5;241m.\u001B[39mreadline(_MAXLINE \u001B[38;5;241m+\u001B[39m \u001B[38;5;241m1\u001B[39m), \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124miso-8859-1\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[0;32m    293\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mlen\u001B[39m(line) \u001B[38;5;241m>\u001B[39m _MAXLINE:\n\u001B[0;32m    294\u001B[0m         \u001B[38;5;28;01mraise\u001B[39;00m LineTooLong(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mstatus line\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\socket.py:708\u001B[0m, in \u001B[0;36mSocketIO.readinto\u001B[1;34m(self, b)\u001B[0m\n\u001B[0;32m    706\u001B[0m \u001B[38;5;28;01mwhile\u001B[39;00m \u001B[38;5;28;01mTrue\u001B[39;00m:\n\u001B[0;32m    707\u001B[0m     \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 708\u001B[0m         \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_sock\u001B[38;5;241m.\u001B[39mrecv_into(b)\n\u001B[0;32m    709\u001B[0m     \u001B[38;5;28;01mexcept\u001B[39;00m timeout:\n\u001B[0;32m    710\u001B[0m         \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_timeout_occurred \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mTrue\u001B[39;00m\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\ssl.py:1252\u001B[0m, in \u001B[0;36mSSLSocket.recv_into\u001B[1;34m(self, buffer, nbytes, flags)\u001B[0m\n\u001B[0;32m   1248\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m flags \u001B[38;5;241m!=\u001B[39m \u001B[38;5;241m0\u001B[39m:\n\u001B[0;32m   1249\u001B[0m         \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(\n\u001B[0;32m   1250\u001B[0m           \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mnon-zero flags not allowed in calls to recv_into() on \u001B[39m\u001B[38;5;132;01m%s\u001B[39;00m\u001B[38;5;124m\"\u001B[39m \u001B[38;5;241m%\u001B[39m\n\u001B[0;32m   1251\u001B[0m           \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m\u001B[38;5;18m__class__\u001B[39m)\n\u001B[1;32m-> 1252\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mread(nbytes, buffer)\n\u001B[0;32m   1253\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[0;32m   1254\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28msuper\u001B[39m()\u001B[38;5;241m.\u001B[39mrecv_into(buffer, nbytes, flags)\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\ssl.py:1104\u001B[0m, in \u001B[0;36mSSLSocket.read\u001B[1;34m(self, len, buffer)\u001B[0m\n\u001B[0;32m   1102\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[0;32m   1103\u001B[0m     \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[1;32m-> 1104\u001B[0m         \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_sslobj\u001B[38;5;241m.\u001B[39mread(\u001B[38;5;28mlen\u001B[39m, buffer)\n\u001B[0;32m   1105\u001B[0m     \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[0;32m   1106\u001B[0m         \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_sslobj\u001B[38;5;241m.\u001B[39mread(\u001B[38;5;28mlen\u001B[39m)\n",
      "\u001B[1;31mKeyboardInterrupt\u001B[0m: "
     ]
    }
   ],
   "execution_count": 11
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-19T10:02:47.931067Z",
     "start_time": "2025-02-19T10:02:47.742360Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import requests\n",
    "import json\n",
    "import pandas as pd\n",
    "from tqdm import tqdm\n",
    "import re\n",
    "import time\n",
    "\n",
    "df = pd.DataFrame()\n",
    "\n",
    "for i in tqdm(range(1,100)):\n",
    "    url = 'https://shop-gateway.tuhu.cn/mkt-shop-order-read/order-list-query/order-list'\n",
    "\n",
    "    headers = {\n",
    "        'apiVersion': '1.0.0',\n",
    "        'channel': 'S-SITE',\n",
    "        'deviceId': '05c6720e-ca19-4d7a-908c-4d60d20b7059',\n",
    "        'Content-Type': 'application/json;charset=UTF-8',\n",
    "        'authorization': 'Bearer eyJhbGciOiJSUzI1NiIsImtpZCI6ImhHeXFFYi0tZUFFYTExa2lhZGc4ZXBpSGU0VSIsInR5cCI6IkpXVCIsIng1dCI6ImhHeXFFYi0tZUFFYTExa2lhZGc4ZXBpSGU0VSJ9.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.kLvdR8MgbfAOk02PRoXS7ldBiBdb3XYm5VCCt8y0IkslaRWGF60q6xO5rCyz0Dht6jJAM_7W12SYZfurWq3WQVSddGHviyxRO7AN4nyll6fJmIfjb2gSE9NE5zU2fFFv7oK2rTGlO6HLZhWLPu4lgBIjF_86RCbEkRZYO_4FQoGO_MlCZ-9wfEMlfneLnnwDb9vbz9iyS7gtFPCOrlmYzs6zDfJ4HtyJWiu1q6kGHaIl9-ouyJHpTIuAuYFDPv4wHsWEf8Lkdb4RpnEGcFjjlpsQ2--kgXbppF0QD_2_ZMDzuBii6AYzeh0zXWhgYlDJC3Rm6JFUbZk0cjOWKjKRIA',\n",
    "        #需要经常更换\n",
    "        'authtype': 'oidc',\n",
    "        'origin': 'https://shop.tuhu.cn',\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",
    "    }\n",
    "\n",
    "    json = {\"apiVersion\": \"1.0.0\", \"channel\": \"S-SITE\", \"deviceId\": \"05c6720e-ca19-4d7a-908c-4d60d20b7059\",\n",
    "            \"businessType\": 14, \"shopId\": 100727, \"generalOrderExtendRequest\": {\"pid\": \"\", \"productName\": \"\"},\n",
    "            \"productName\": \"\", \"pid\": \"\", \"deliveryType\": \"\", \"deliveryStatus\": \"\", \"containCarPro\": \"\", \"orderNo\": \"\",\n",
    "            \"carPlate\": \"\", \"orderChannel\": \"\", \"installType\": \"\", \"payMethod\": \"\", \"userTel\": \"\", \"orderStatus\": \"\",\n",
    "            \"payStatus\": \"\", \"installStatus\": \"\", \"orderType\": \"\", \"refNo\": \"\", \"relationRec\": 0, \"money\": \"\",\n",
    "            \"page\": i, \"size\": 20}\n",
    "\n",
    "    response = requests.post(url, headers=headers, json=json)\n",
    "    data = response.json()\n",
    "    # print(data)\n",
    "    # break\n",
    "    order_list = data.get('data', {}).get('results', [])\n",
    "    for order in order_list:\n",
    "        order_no = order.get('orderBase', '').get('orderNo', '')\n",
    "        # print(order_no)\n",
    "        userId = order.get('orderUsers', {}).get('userId', '')\n",
    "        orderDatetime = order.get('orderBase', {}).get('orderDatetime', '')\n",
    "        sumMoney = order.get('orderBase', {}).get('sumMoney', '')\n",
    "        # print(userId)\n",
    "\n",
    "        # match = re.search(r'TH(\\d+)', order_no)\n",
    "        # if match:\n",
    "        #     order_no = match.group(1)\n",
    "        # else:\n",
    "        #     order_no = order_no\n",
    "        # detail_url = f'https://shop-gateway.tuhu.cn/cl-bff-shop-sale/s-site/order/get-order-detail'\n",
    "        # \n",
    "        # detail_json = {\"apiVersion\": \"1.0.0\", \"channel\": \"S-SITE\", \"deviceId\": userId,\n",
    "        #                \"orderId\": order_no}\n",
    "        # detail_response = requests.post(detail_url, headers=headers, json=detail_json)\n",
    "        # detail_data = detail_response.json()\n",
    "        # # print(detail_data)\n",
    "        # \n",
    "        # order_base_info = detail_data.get('data', {}).get('orderBaseInfo', {})\n",
    "        # payment_info = detail_data.get('data', {}).get('paymentInfo', {})\n",
    "        # commodity_items = detail_data.get('data', {}).get('productList', {}).get('commodityItem', [])\n",
    "        # service_items = detail_data.get('data', {}).get('productList', {}).get('serviceItem', [])\n",
    "        # \n",
    "        # \n",
    "        # for commodity in commodity_items:\n",
    "        #     record = {**order_base_info, **payment_info, **{f'commodity_{k}': v for k, v in commodity.items()}}\n",
    "        #     records.append(record)\n",
    "        # \n",
    "        # # 遍历serviceItem中的每一个服务项\n",
    "        # for service in service_items:\n",
    "        #     record = {**order_base_info, **payment_info, **{f'service_{k}': v for k, v in service.items()}}\n",
    "        #     records.append(record)\n",
    "        records = []\n",
    "        \n",
    "        records.append({'order_no':order_no,'userId': userId,'orderDatetime':orderDatetime,\"sumMoney\":sumMoney})\n",
    "        # headers = ['order_no','userId','orderDatetime']\n",
    "        # records.columns = headers\n",
    "        # df = pd.DataFrame(records)\n",
    "        df = pd.concat([df, pd.DataFrame(records)], ignore_index=True)\n",
    "        # print(df)\n",
    "\n",
    "        # time.sleep(0.5)\n",
    "df.to_excel(fr'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\途虎养车历史维修记录创建时间11.xlsx', index=False)\n"
   ],
   "id": "93f4b865c7ea5e40",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/99 [00:00<?, ?it/s]\n"
     ]
    },
    {
     "ename": "JSONDecodeError",
     "evalue": "Expecting value: line 1 column 1 (char 0)",
     "output_type": "error",
     "traceback": [
      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[1;31mJSONDecodeError\u001B[0m                           Traceback (most recent call last)",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\requests\\models.py:974\u001B[0m, in \u001B[0;36mResponse.json\u001B[1;34m(self, **kwargs)\u001B[0m\n\u001B[0;32m    973\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 974\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m complexjson\u001B[38;5;241m.\u001B[39mloads(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mtext, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n\u001B[0;32m    975\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m JSONDecodeError \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[0;32m    976\u001B[0m     \u001B[38;5;66;03m# Catch JSON-related errors and raise as requests.JSONDecodeError\u001B[39;00m\n\u001B[0;32m    977\u001B[0m     \u001B[38;5;66;03m# This aliases json.JSONDecodeError and simplejson.JSONDecodeError\u001B[39;00m\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\json\\__init__.py:346\u001B[0m, in \u001B[0;36mloads\u001B[1;34m(s, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)\u001B[0m\n\u001B[0;32m    343\u001B[0m \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[0;32m    344\u001B[0m         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[0;32m    345\u001B[0m         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[1;32m--> 346\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m _default_decoder\u001B[38;5;241m.\u001B[39mdecode(s)\n\u001B[0;32m    347\u001B[0m \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",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\json\\decoder.py:337\u001B[0m, in \u001B[0;36mJSONDecoder.decode\u001B[1;34m(self, s, _w)\u001B[0m\n\u001B[0;32m    333\u001B[0m \u001B[38;5;250m\u001B[39m\u001B[38;5;124;03m\"\"\"Return the Python representation of ``s`` (a ``str`` instance\u001B[39;00m\n\u001B[0;32m    334\u001B[0m \u001B[38;5;124;03mcontaining a JSON document).\u001B[39;00m\n\u001B[0;32m    335\u001B[0m \n\u001B[0;32m    336\u001B[0m \u001B[38;5;124;03m\"\"\"\u001B[39;00m\n\u001B[1;32m--> 337\u001B[0m obj, end \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mraw_decode(s, idx\u001B[38;5;241m=\u001B[39m_w(s, \u001B[38;5;241m0\u001B[39m)\u001B[38;5;241m.\u001B[39mend())\n\u001B[0;32m    338\u001B[0m end \u001B[38;5;241m=\u001B[39m _w(s, end)\u001B[38;5;241m.\u001B[39mend()\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\json\\decoder.py:355\u001B[0m, in \u001B[0;36mJSONDecoder.raw_decode\u001B[1;34m(self, s, idx)\u001B[0m\n\u001B[0;32m    354\u001B[0m \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[1;32m--> 355\u001B[0m     \u001B[38;5;28;01mraise\u001B[39;00m JSONDecodeError(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mExpecting value\u001B[39m\u001B[38;5;124m\"\u001B[39m, s, err\u001B[38;5;241m.\u001B[39mvalue) \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m\n\u001B[0;32m    356\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m obj, end\n",
      "\u001B[1;31mJSONDecodeError\u001B[0m: Expecting value: line 1 column 1 (char 0)",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001B[1;31mJSONDecodeError\u001B[0m                           Traceback (most recent call last)",
      "Cell \u001B[1;32mIn[7], line 33\u001B[0m\n\u001B[0;32m     25\u001B[0m json \u001B[38;5;241m=\u001B[39m {\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mapiVersion\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m1.0.0\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mchannel\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mS-SITE\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mdeviceId\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m05c6720e-ca19-4d7a-908c-4d60d20b7059\u001B[39m\u001B[38;5;124m\"\u001B[39m,\n\u001B[0;32m     26\u001B[0m         \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mbusinessType\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;241m14\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mshopId\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;241m100727\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mgeneralOrderExtendRequest\u001B[39m\u001B[38;5;124m\"\u001B[39m: {\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mpid\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mproductName\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m},\n\u001B[0;32m     27\u001B[0m         \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mproductName\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mpid\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mdeliveryType\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mdeliveryStatus\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mcontainCarPro\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124morderNo\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m,\n\u001B[0;32m     28\u001B[0m         \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mcarPlate\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124morderChannel\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124minstallType\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mpayMethod\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124muserTel\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124morderStatus\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m,\n\u001B[0;32m     29\u001B[0m         \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mpayStatus\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124minstallStatus\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124morderType\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mrefNo\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mrelationRec\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;241m0\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mmoney\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m,\n\u001B[0;32m     30\u001B[0m         \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mpage\u001B[39m\u001B[38;5;124m\"\u001B[39m: i, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124msize\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;241m20\u001B[39m}\n\u001B[0;32m     32\u001B[0m response \u001B[38;5;241m=\u001B[39m requests\u001B[38;5;241m.\u001B[39mpost(url, headers\u001B[38;5;241m=\u001B[39mheaders, json\u001B[38;5;241m=\u001B[39mjson)\n\u001B[1;32m---> 33\u001B[0m data \u001B[38;5;241m=\u001B[39m response\u001B[38;5;241m.\u001B[39mjson()\n\u001B[0;32m     34\u001B[0m \u001B[38;5;66;03m# print(data)\u001B[39;00m\n\u001B[0;32m     35\u001B[0m \u001B[38;5;66;03m# break\u001B[39;00m\n\u001B[0;32m     36\u001B[0m order_list \u001B[38;5;241m=\u001B[39m data\u001B[38;5;241m.\u001B[39mget(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mdata\u001B[39m\u001B[38;5;124m'\u001B[39m, {})\u001B[38;5;241m.\u001B[39mget(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mresults\u001B[39m\u001B[38;5;124m'\u001B[39m, [])\n",
      "File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\requests\\models.py:978\u001B[0m, in \u001B[0;36mResponse.json\u001B[1;34m(self, **kwargs)\u001B[0m\n\u001B[0;32m    974\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m complexjson\u001B[38;5;241m.\u001B[39mloads(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mtext, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n\u001B[0;32m    975\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m JSONDecodeError \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[0;32m    976\u001B[0m     \u001B[38;5;66;03m# Catch JSON-related errors and raise as requests.JSONDecodeError\u001B[39;00m\n\u001B[0;32m    977\u001B[0m     \u001B[38;5;66;03m# This aliases json.JSONDecodeError and simplejson.JSONDecodeError\u001B[39;00m\n\u001B[1;32m--> 978\u001B[0m     \u001B[38;5;28;01mraise\u001B[39;00m RequestsJSONDecodeError(e\u001B[38;5;241m.\u001B[39mmsg, e\u001B[38;5;241m.\u001B[39mdoc, e\u001B[38;5;241m.\u001B[39mpos)\n",
      "\u001B[1;31mJSONDecodeError\u001B[0m: Expecting value: line 1 column 1 (char 0)"
     ]
    }
   ],
   "execution_count": 7
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}