{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "76626b2b30f76c71",
   "metadata": {},
   "source": [
    "# 快维单据明细"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "178c44a05b6287e3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-20T09:03:43.771588Z",
     "start_time": "2025-12-20T06:33:05.631083Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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25, 'StartTime': '/Date(1765854180000)/', 'StopWorkTime': '/Date(1765854180000)/', 'SumActualTotal': 11574288.410000026, 'SumMoney': 12438856.1, 'TotalPaid': 10, 'TotalPrice': None, 'Vin': '', 'WXOpenId': None, 'WorkEmployees': None, 'WorkGroups': None, 'recordcount': 64875}, {'ExtensionData': {}, 'ActualTotal': 0, 'BillSource': None, 'BillType': 0, 'BrandId': 314, 'CarId': None, 'CarNo': '鄂WJA039', 'CarTypeId': '1', 'Comment': '', 'CompanyName': None, 'Completeness': None, 'CustomBrand': '广汽丰田', 'CustomLine': '凯美瑞', 'CustomModel': None, 'CustomerGroupName': None, 'CustomerId': 3000, 'CustomerMobile': '13720279509', 'CustomerName': '王彬', 'CustomerServiceAdvisor': None, 'CustomerSourceId': 1, 'CustomerSourceName': None, 'EmployeeId': 0, 'EvaluateRecordId': None, 'ExpireName': '', 'ExpirePayMoney': None, 'Id': 3765881, 'InsuranceCompany': None, 'InsuranceExpires': None, 'Introducer': None, 'IntroductionTime': None, 'IsNewCustomer': False, 'IsPayAll': True, 'IsReturnGoods': None, 'IsVip': True, 'IsVisiting': None, 'IsmainTain': None, 'MaintainTypeId': 1, 'MaintainTypeName': None, 'MileAge': 0, 'Name': '补胎', 'NextMaintenanceMileage': 97997, 'NextMaintenanceTime': '/Date(1773849600000)/', 'No': '2512160003', 'OutReport': '', 'PartMoney': 0, 'PayExpireCompanyName': '', 'PlanFinishTime': None, 'ProjectMoney': 30, 'ProjectName': '补胎', 'ProjectTypeName': '轮胎', 'PushRepairSourceDesc': None, 'PushRepairSourceName': '-', 'QuickBillType': None, 'RealMoney': None, 'ReceiptTime': '/Date(1765852620000)/', 'RepairMan': '', 'RepairMobile': '', 'ServiceAdvisor': '', 'ServiceStatusId': 25, 'StartTime': '/Date(1765852620000)/', 'StopWorkTime': '/Date(1765852620000)/', 'SumActualTotal': 11574288.410000026, 'SumMoney': 12438856.1, 'TotalPaid': 30, 'TotalPrice': None, 'Vin': 'LVGBH51K2EG503216', 'WXOpenId': 'oyQlY5m99ky2ud-VJZrNqhdghcow', 'WorkEmployees': None, 'WorkGroups': None, 'recordcount': 64875}]}\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "aed970cd80674fcfaaf9c1f6cb253258",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/648 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import requests\n",
    "from tqdm.notebook import tqdm\n",
    "import pandas as pd\n",
    "\n",
    "cookies = {\n",
    "    'Ewewo.PC.Models': '1,True|2,False|3,False|4,True',\n",
    "    'gr_user_id': '777008e8-ed80-4b0e-a507-0579649e06e0',\n",
    "    'Ewewo.PC.MUId': 'mE8yefLeKH95xJspQ37+2A==',\n",
    "    'Ewewo.PC.SID': 'iAp8PPtNwbU=',\n",
    "    'Ewewo.PC.MSID': '19',\n",
    "    'Ewewo.PC.UserId': 'VOvzhrhOWrU=',\n",
    "    'Ewewo.PC.UUid': '0',\n",
    "    'Ewewo.PC.LoginCode_71': 'f95f644b57b4501ce5813d6fead42688',\n",
    "    'Ewewo.PC.StoreId': '36',\n",
    "    'Ewewo.PC.UserLatelyUpdateLogId': '87',\n",
    "    'Ewewo.PC.StoreIdCookie': '36',\n",
    "    'acw_tc': '0adc26e617661954544442165ec8356c5ab836539f0db4e3c064b6dfb829a2',\n",
    "    'Ewewo.PC.LastVisite_71': '2025/12/20 9:50:56',\n",
    "    '900b05ef6948f1dc_gr_session_id': '112be6eb-1f63-4ccc-a615-551902b25c54',\n",
    "    'Hm_lvt_2272ec76fd7a2b1c14e8d8166d2367cd': '1765955464,1766133964,1766195456',\n",
    "    'HMACCOUNT': '55F2182717FD6AE6',\n",
    "    '900b05ef6948f1dc_gr_session_id_sent_vst': '112be6eb-1f63-4ccc-a615-551902b25c54',\n",
    "    'Hm_lpvt_2272ec76fd7a2b1c14e8d8166d2367cd': '1766195462',\n",
    "    'SERVERID': 'b94cc991ebb619405fd0dcdd7b6339af|1766195490|1766195454',\n",
    "}\n",
    "\n",
    "headers = {\n",
    "    'accept': 'application/json, text/plain, */*',\n",
    "    'accept-language': 'zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6',\n",
    "    'cache-control': 'no-cache',\n",
    "    'content-type': 'application/json;charset=UTF-8',\n",
    "    'origin': 'https://s.kzewe.com',\n",
    "    'pragma': 'no-cache',\n",
    "    'priority': 'u=1, i',\n",
    "    'referer': 'https://s.kzewe.com/Main/serve/RecordList?page=1&start=2015-01-01&end=2025-12-19&status=0&key=&mobile=&car=&recordno=&maintaintype=0&billtype=%7C0%7C1%7C2%7C3%7C4%7C5&receiptstart=&receiptend=&receiptstatus=0&projecttype=0&pagesize=100&selecttype=false&workgroupid=-1&workemployeeids=-1&employeeids=-1&planfinishstart=&planfinishtend=&cartypeid=0&customersourceid=%E5%85%A8%E9%83%A8&Introducer=&insurancecompany=&payexpirecompanyid=0&order=0&isASC=0&rm=0.3264971034005235',\n",
    "    'sec-ch-ua': '\"Microsoft Edge\";v=\"143\", \"Chromium\";v=\"143\", \"Not A(Brand\";v=\"24\"',\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-origin',\n",
    "    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36 Edg/143.0.0.0',\n",
    "    # 'cookie': 'Ewewo.PC.Models=1,True|2,False|3,False|4,True; Ewewo.PC.SelectedStoreIdCookie=; Ewewo.PC.Udesk=; saas_kw_pc=; saas_kw_pc_expirationTime=; saas_kw_pc_refreshKey=; Hm_lvt_2272ec76fd7a2b1c14e8d8166d2367cd=1765955464,1766133964; HMACCOUNT=55F2182717FD6AE6; gr_user_id=777008e8-ed80-4b0e-a507-0579649e06e0; 900b05ef6948f1dc_gr_session_id=42e62728-164f-468c-9721-61aeb76aa9e4; ASP.NET_SessionId=4ddf4ihm3bdmcnuyhyj1z04h; 900b05ef6948f1dc_gr_session_id_sent_vst=42e62728-164f-468c-9721-61aeb76aa9e4; Ewewo.PC.MUId=mE8yefLeKH95xJspQ37+2A==; Ewewo.PC.SID=iAp8PPtNwbU=; Ewewo.PC.MSID=19; Ewewo.PC.UserId=VOvzhrhOWrU=; Ewewo.PC.UUid=0; Ewewo.PC.LoginCode_71=f95f644b57b4501ce5813d6fead42688; Ewewo.PC.LastVisite_71=2025/12/19 17:10:08; Ewewo.PC.StoreId=36; Ewewo.PC.UserLatelyUpdateLogId=87; Ewewo.PC.StoreIdCookie=36; Hm_lpvt_2272ec76fd7a2b1c14e8d8166d2367cd=1766135425; SERVERID=9ea6a76a853428d196fc7c93a0e8b7b0|1766135473|1766133963; acw_tc=0adc26e617661358407538445ec801840f28905a731d024bd9042b0bf143ef',\n",
    "}\n",
    "\n",
    "params = {\n",
    "    'page': '1',\n",
    "    'start': '2015-01-01',\n",
    "    'end': '2025-12-19',\n",
    "    'status': '0',\n",
    "    'key': '',\n",
    "    'mobile': '',\n",
    "    'car': '',\n",
    "    'recordno': '',\n",
    "    'maintaintype': '0',\n",
    "    'billtype': '|0|1|2|3|4|5',\n",
    "    'receiptstart': '',\n",
    "    'receiptend': '',\n",
    "    'receiptstatus': '0',\n",
    "    'projecttype': '0',\n",
    "    'pagesize': '100',\n",
    "    'selecttype': 'false',\n",
    "    'workgroupid': '-1',\n",
    "    'workemployeeids': '-1',\n",
    "    'employeeids': '-1',\n",
    "    'planfinishstart': '',\n",
    "    'planfinishtend': '',\n",
    "    'cartypeid': '0',\n",
    "    'customersourceid': '全部',\n",
    "    'Introducer': '',\n",
    "    'insurancecompany': '',\n",
    "    'payexpirecompanyid': '0',\n",
    "    'order': '0',\n",
    "    'isASC': '0',\n",
    "    'rm': '0.16380643787839677',\n",
    "}\n",
    "\n",
    "json_data = {}\n",
    "\n",
    "response = requests.post(\n",
    "    'https://s.kzewe.com/Main/serve/GetRecordList',\n",
    "    params=params,\n",
    "    cookies=cookies,\n",
    "    headers=headers,\n",
    "    json=json_data,\n",
    ")\n",
    "print(response.json())\n",
    "\n",
    "all_bills = response.json().get(\"Pager\",{}).get(\"RecordCount\",\"\")\n",
    "all_page = int(all_bills) / 100 + 1\n",
    "all_page = int(all_page)\n",
    "\n",
    "all_bills_data = []\n",
    "for page in tqdm(range(1,all_page)):\n",
    "    params[\"page\"] = page\n",
    "    response = requests.post(\n",
    "        'https://s.kzewe.com/Main/serve/GetRecordList',\n",
    "        params=params,\n",
    "        cookies=cookies,\n",
    "        headers=headers,\n",
    "        json=json_data,\n",
    "    )\n",
    "    bill_data_list = response.json().get(\"EntityList\", [])\n",
    "    for bill_data in bill_data_list:\n",
    "        all_bills_data.append(bill_data)\n",
    "\n",
    "\n",
    "\n",
    "df = pd.DataFrame(all_bills_data)\n",
    "df.to_excel(\"快维单据明细.xlsx\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f830b9cb478e157a",
   "metadata": {},
   "source": [
    "# 历史维修记录明细"
   ]
  },
  {
   "cell_type": "code",
   "id": "f099fb600423b486",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-21T13:27:06.807071Z",
     "start_time": "2025-12-20T10:01:35.819507Z"
    }
   },
   "source": [
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "import re\n",
    "import json\n",
    "import pandas as pd\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "def extract_bill_info(html_content):\n",
    "    \"\"\"\n",
    "    从快维系统HTML页面中提取开单信息\n",
    "    基于实际HTML结构优化，支持嵌套项目结构\n",
    "    \"\"\"\n",
    "    soup = BeautifulSoup(html_content, 'html.parser')\n",
    "    \n",
    "    result = {\n",
    "        '开单时间': '',\n",
    "        '车辆等级': '',\n",
    "        '本次里程': '',\n",
    "        '客户单位': '',\n",
    "        '客户名称': '',\n",
    "        '客户手机': '',\n",
    "        '上次开单时间': '',\n",
    "        '上次里程': '',\n",
    "        '项目材料列表': [],\n",
    "        '工时费': '',\n",
    "        '总费用': ''\n",
    "    }\n",
    "    \n",
    "    # 1. 提取开单时间 - id=\"txtstarttime\"\n",
    "    txtstarttime = soup.find('input', {'id': 'txtstarttime'})\n",
    "    if txtstarttime:\n",
    "        result['开单时间'] = txtstarttime.get('value', '').strip()\n",
    "    \n",
    "    # 2. 提取车辆等级 - id=\"carlevel\" 的select中选中的option\n",
    "    carlevel = soup.find('select', {'id': 'carlevel'})\n",
    "    if carlevel:\n",
    "        selected_option = carlevel.find('option', selected=True)\n",
    "        if not selected_option:\n",
    "            # 如果没有selected属性，查找value不为空的第一个option\n",
    "            selected_option = carlevel.find('option', value=lambda x: x and x != '')\n",
    "        if selected_option:\n",
    "            result['车辆等级'] = selected_option.get_text(strip=True)\n",
    "            # 如果是\"请选择\"，则设为空\n",
    "            if result['车辆等级'] == '请选择':\n",
    "                result['车辆等级'] = ''\n",
    "    \n",
    "    # 3. 提取本次里程 - id=\"txtmileage\"\n",
    "    txtmileage = soup.find('input', {'id': 'txtmileage'})\n",
    "    if txtmileage:\n",
    "        result['本次里程'] = txtmileage.get('value', '').strip()\n",
    "        # 移除\"公里\"单位\n",
    "        if result['本次里程'] and result['本次里程'].endswith('公里'):\n",
    "            result['本次里程'] = result['本次里程'].replace('公里', '').strip()\n",
    "    \n",
    "    # 4. 提取客户单位 - id=\"txtcompanyname\"\n",
    "    txtcompanyname = soup.find('input', {'id': 'txtcompanyname'})\n",
    "    if txtcompanyname:\n",
    "        result['客户单位'] = txtcompanyname.get('value', '').strip()\n",
    "    \n",
    "    # 5. 提取客户名称 - id=\"txtcustomername\"\n",
    "    txtcustomername = soup.find('input', {'id': 'txtcustomername'})\n",
    "    if txtcustomername:\n",
    "        result['客户名称'] = txtcustomername.get('value', '').strip()\n",
    "    \n",
    "    # 6. 提取客户手机 - id=\"txtcustomermobile\"\n",
    "    txtcustomermobile = soup.find('input', {'id': 'txtcustomermobile'})\n",
    "    if txtcustomermobile:\n",
    "        result['客户手机'] = txtcustomermobile.get('value', '').strip()\n",
    "    \n",
    "    # 7. 提取上次开单时间 - id=\"laststarttime\"\n",
    "    laststarttime = soup.find('span', {'id': 'laststarttime'})\n",
    "    if laststarttime:\n",
    "        result['上次开单时间'] = laststarttime.get_text(strip=True)\n",
    "    \n",
    "    # 8. 提取上次里程 - id=\"lastmileage\"\n",
    "    lastmileage = soup.find('td', {'id': 'lastmileage'})\n",
    "    if lastmileage:\n",
    "        result['上次里程'] = lastmileage.get_text(strip=True)\n",
    "        # 移除\"-分\"等无效值\n",
    "        if result['上次里程'] in ['-分', '-']:\n",
    "            result['上次里程'] = ''\n",
    "    \n",
    "    # 9. 提取项目材料列表 - 支持嵌套结构\n",
    "    # 查找class=\"xichekd\"或id=\"serviceprojectbox\"的div中的表格\n",
    "    xichekd_div = soup.find('div', {'class': 'xichekd'})\n",
    "    if not xichekd_div:\n",
    "        xichekd_div = soup.find('div', {'id': 'serviceprojectbox'})\n",
    "    \n",
    "    if xichekd_div:\n",
    "        table = xichekd_div.find('table')\n",
    "        if table:\n",
    "            # 查找表头行（thead中的tr）\n",
    "            thead = table.find('thead')\n",
    "            if thead:\n",
    "                header_row = thead.find('tr')\n",
    "                if header_row:\n",
    "                    # 查找所有数据行（包括父项目和子项目）\n",
    "                    all_rows = table.find_all('tr')\n",
    "                    \n",
    "                    # 解析每一行数据\n",
    "                    for row in all_rows:\n",
    "                        # 跳过表头行\n",
    "                        if row == header_row:\n",
    "                            continue\n",
    "                        \n",
    "                        # 跳过children行（它只是容器，实际数据在嵌套table中）\n",
    "                        if row.get('name') == 'children':\n",
    "                            continue\n",
    "                        \n",
    "                        # 检查是否是父项目（有haschildren=\"1\"）\n",
    "                        is_parent = row.get('haschildren') == '1' or row.get('name') == 'parent'\n",
    "                        \n",
    "                        # 提取项目信息\n",
    "                        item = {}\n",
    "                        \n",
    "                        # 项目名称 - f=\"name\" 或 projectname属性\n",
    "                        name_td = row.find('td', {'f': 'name'})\n",
    "                        if name_td:\n",
    "                            # 优先从input获取\n",
    "                            name_input = name_td.find('input')\n",
    "                            if name_input:\n",
    "                                item['项目名称'] = name_input.get('value', '').strip()\n",
    "                            else:\n",
    "                                # 如果没有input，从projectname属性或文本获取\n",
    "                                projectname = name_td.get('projectname', '').strip()\n",
    "                                if projectname:\n",
    "                                    item['项目名称'] = projectname\n",
    "                                else:\n",
    "                                    # 从div中提取文本（处理嵌套的配件名称）\n",
    "                                    name_div = name_td.find('div', class_='help-tip-left')\n",
    "                                    if name_div:\n",
    "                                        name_text = name_div.get_text(strip=True)\n",
    "                                        # 移除库存编号部分（- PJ...）\n",
    "                                        name_text = re.sub(r'\\s*-\\s*[A-Z0-9]+$', '', name_text)\n",
    "                                        item['项目名称'] = name_text\n",
    "                                    else:\n",
    "                                        item['项目名称'] = name_td.get_text(strip=True)\n",
    "                        \n",
    "                        # 单价 - f=\"price\"\n",
    "                        price_td = row.find('td', {'f': 'price'})\n",
    "                        if price_td:\n",
    "                            price_input = price_td.find('input')\n",
    "                            if price_input:\n",
    "                                item['单价'] = price_input.get('value', '').strip()\n",
    "                            else:\n",
    "                                # 如果没有input，从文本或price属性获取\n",
    "                                price_text = price_td.get_text(strip=True)\n",
    "                                # 移除可能的图片等元素，只保留数字\n",
    "                                price_text = re.sub(r'[^\\d.]', '', price_text)\n",
    "                                if price_text:\n",
    "                                    item['单价'] = price_text\n",
    "                                else:\n",
    "                                    item['单价'] = price_td.get('price', '').strip()\n",
    "                        \n",
    "                        # 数量 - f=\"qty\"\n",
    "                        qty_td = row.find('td', {'f': 'qty'})\n",
    "                        if qty_td:\n",
    "                            qty_input = qty_td.find('input')\n",
    "                            if qty_input:\n",
    "                                item['数量'] = qty_input.get('value', '').strip()\n",
    "                            else:\n",
    "                                # 如果没有input，从文本或qty属性获取\n",
    "                                qty_text = qty_td.get_text(strip=True)\n",
    "                                # 提取数字部分（可能包含单位，如\"1(个)\"）\n",
    "                                qty_match = re.search(r'(\\d+(?:\\.\\d+)?)', qty_text)\n",
    "                                if qty_match:\n",
    "                                    item['数量'] = qty_match.group(1)\n",
    "                                else:\n",
    "                                    item['数量'] = qty_td.get('qty', '').strip()\n",
    "                        \n",
    "                        # 折扣 - f=\"discount\"\n",
    "                        discount_td = row.find('td', {'f': 'discount'})\n",
    "                        if discount_td:\n",
    "                            discount_input = discount_td.find('input')\n",
    "                            if discount_input:\n",
    "                                discount_value = discount_input.get('value', '').strip()\n",
    "                                # 检查后面是否有%符号\n",
    "                                percent_span = discount_td.find('span', class_='bfb2')\n",
    "                                if percent_span and percent_span.get_text(strip=True) == '%':\n",
    "                                    item['折扣'] = discount_value + '%'\n",
    "                                else:\n",
    "                                    item['折扣'] = discount_value\n",
    "                            else:\n",
    "                                # 如果没有input，从文本获取\n",
    "                                discount_text = discount_td.get_text(strip=True)\n",
    "                                item['折扣'] = discount_text.strip()\n",
    "                        \n",
    "                        # 金额 - f=\"total\"\n",
    "                        total_td = row.find('td', {'f': 'total'})\n",
    "                        if total_td:\n",
    "                            total_input = total_td.find('input')\n",
    "                            if total_input:\n",
    "                                item['金额'] = total_input.get('value', '').strip()\n",
    "                            else:\n",
    "                                # 如果没有input，从文本获取\n",
    "                                total_text = total_td.get_text(strip=True)\n",
    "                                # 移除可能的非数字字符\n",
    "                                total_text = re.sub(r'[^\\d.]', '', total_text)\n",
    "                                if total_text:\n",
    "                                    item['金额'] = total_text\n",
    "                        \n",
    "                        # 销售员 - f=\"sales\"\n",
    "                        sales_td = row.find('td', {'f': 'sales'})\n",
    "                        if sales_td:\n",
    "                            sales_input = sales_td.find('input')\n",
    "                            if sales_input:\n",
    "                                item['销售员'] = sales_input.get('value', '').strip()\n",
    "                            else:\n",
    "                                # 从data-balloon属性或title获取\n",
    "                                sales_text = sales_td.get('data-balloon', '').strip()\n",
    "                                if not sales_text:\n",
    "                                    sales_text = sales_td.get('title', '').strip()\n",
    "                                item['销售员'] = sales_text\n",
    "                        \n",
    "                        # 施工员 - f=\"operater\"\n",
    "                        operater_td = row.find('td', {'f': 'operater'})\n",
    "                        if operater_td:\n",
    "                            operater_input = operater_td.find('input')\n",
    "                            if operater_input:\n",
    "                                item['施工员'] = operater_input.get('value', '').strip()\n",
    "                            else:\n",
    "                                # 从title属性或文本中提取（可能包含\"领料人:xxx\"）\n",
    "                                operater_text = operater_td.get('title', '').strip()\n",
    "                                if not operater_text:\n",
    "                                    # 查找p标签中的领料人信息\n",
    "                                    p_tag = operater_td.find('p', class_='textcutoff')\n",
    "                                    if p_tag:\n",
    "                                        p_text = p_tag.get_text(strip=True)\n",
    "                                        match = re.search(r'领料人[：:]?\\s*(.+)', p_text)\n",
    "                                        if match:\n",
    "                                            operater_text = match.group(1)\n",
    "                                item['施工员'] = operater_text\n",
    "                        \n",
    "                        # 只有当有项目名称时才添加到列表（跳过父项目行，只添加实际的项目）\n",
    "                        if item.get('项目名称') and not is_parent:\n",
    "                            result['项目材料列表'].append(item)\n",
    "                        \n",
    "                        # 如果是父项目且有子项目，需要处理嵌套的table\n",
    "                        if is_parent:\n",
    "                            # 查找下一个兄弟tr（name=\"children\"）\n",
    "                            next_sibling = row.find_next_sibling('tr', {'name': 'children'})\n",
    "                            if next_sibling:\n",
    "                                # 在children行中查找嵌套的table\n",
    "                                nested_table = next_sibling.find('table')\n",
    "                                if nested_table:\n",
    "                                    # 解析嵌套table中的所有tr\n",
    "                                    nested_rows = nested_table.find_all('tr')\n",
    "                                    for nested_row in nested_rows:\n",
    "                                        nested_item = {}\n",
    "                                        \n",
    "                                        # 项目名称\n",
    "                                        nested_name_td = nested_row.find('td', {'f': 'name'})\n",
    "                                        if nested_name_td:\n",
    "                                            nested_name_div = nested_name_td.find('div', class_='help-tip-left')\n",
    "                                            if nested_name_div:\n",
    "                                                nested_name_text = nested_name_div.get_text(strip=True)\n",
    "                                                # 移除库存编号部分\n",
    "                                                nested_name_text = re.sub(r'\\s*-\\s*[A-Z0-9]+$', '', nested_name_text)\n",
    "                                                nested_item['项目名称'] = nested_name_text\n",
    "                                            else:\n",
    "                                                nested_item['项目名称'] = nested_name_td.get('projectname', '').strip()\n",
    "                                        \n",
    "                                        # 单价\n",
    "                                        nested_price_td = nested_row.find('td', {'f': 'price'})\n",
    "                                        if nested_price_td:\n",
    "                                            nested_price_text = nested_price_td.get_text(strip=True)\n",
    "                                            nested_price_text = re.sub(r'[^\\d.]', '', nested_price_text)\n",
    "                                            if nested_price_text:\n",
    "                                                nested_item['单价'] = nested_price_text\n",
    "                                            else:\n",
    "                                                nested_item['单价'] = nested_price_td.get('price', '').strip()\n",
    "                                        \n",
    "                                        # 数量\n",
    "                                        nested_qty_td = nested_row.find('td', {'f': 'qty'})\n",
    "                                        if nested_qty_td:\n",
    "                                            nested_qty_text = nested_qty_td.get_text(strip=True)\n",
    "                                            nested_qty_match = re.search(r'(\\d+(?:\\.\\d+)?)', nested_qty_text)\n",
    "                                            if nested_qty_match:\n",
    "                                                nested_item['数量'] = nested_qty_match.group(1)\n",
    "                                            else:\n",
    "                                                nested_item['数量'] = nested_qty_td.get('qty', '').strip()\n",
    "                                        \n",
    "                                        # 折扣\n",
    "                                        nested_discount_td = nested_row.find('td', {'f': 'discount'})\n",
    "                                        if nested_discount_td:\n",
    "                                            nested_item['折扣'] = nested_discount_td.get_text(strip=True).strip()\n",
    "                                        \n",
    "                                        # 金额\n",
    "                                        nested_total_td = nested_row.find('td', {'f': 'total'})\n",
    "                                        if nested_total_td:\n",
    "                                            nested_total_text = nested_total_td.get_text(strip=True)\n",
    "                                            nested_total_text = re.sub(r'[^\\d.]', '', nested_total_text)\n",
    "                                            if nested_total_text:\n",
    "                                                nested_item['金额'] = nested_total_text\n",
    "                                        \n",
    "                                        # 销售员\n",
    "                                        nested_sales_td = nested_row.find('td', {'f': 'sales'})\n",
    "                                        if nested_sales_td:\n",
    "                                            nested_item['销售员'] = nested_sales_td.get('data-balloon', '').strip() or nested_sales_td.get('title', '').strip()\n",
    "                                        \n",
    "                                        # 施工员\n",
    "                                        nested_operater_td = nested_row.find('td', {'f': 'operater'})\n",
    "                                        if nested_operater_td:\n",
    "                                            nested_operater_text = nested_operater_td.get('title', '').strip()\n",
    "                                            if not nested_operater_text:\n",
    "                                                nested_p_tag = nested_operater_td.find('p', class_='textcutoff')\n",
    "                                                if nested_p_tag:\n",
    "                                                    nested_p_text = nested_p_tag.get_text(strip=True)\n",
    "                                                    nested_match = re.search(r'领料人[：:]?\\s*(.+)', nested_p_text)\n",
    "                                                    if nested_match:\n",
    "                                                        nested_operater_text = nested_match.group(1)\n",
    "                                            nested_item['施工员'] = nested_operater_text\n",
    "                                        \n",
    "                                        # 只有当有项目名称时才添加到列表\n",
    "                                        if nested_item.get('项目名称'):\n",
    "                                            result['项目材料列表'].append(nested_item)\n",
    "    \n",
    "    # 10. 提取工时费 - name=\"tdsumlabour\" 的td中的font标签\n",
    "    tdsumlabour = soup.find('td', {'name': 'tdsumlabour'})\n",
    "    if tdsumlabour:\n",
    "        font = tdsumlabour.find('font')\n",
    "        if font:\n",
    "            result['工时费'] = font.get_text(strip=True)\n",
    "        else:\n",
    "            # 如果没有font标签，直接从td文本中提取\n",
    "            text = tdsumlabour.get_text(strip=True)\n",
    "            match = re.search(r'工时费[：:]\\s*([\\d.]+)', text)\n",
    "            if match:\n",
    "                result['工时费'] = match.group(1)\n",
    "    \n",
    "    # 11. 提取总费用 - name=\"tdsum\" 的td中的em标签\n",
    "    tdsum = soup.find('td', {'name': 'tdsum'})\n",
    "    if tdsum:\n",
    "        em = tdsum.find('em')\n",
    "        if em:\n",
    "            result['总费用'] = em.get_text(strip=True)\n",
    "        else:\n",
    "            # 如果没有em标签，直接从td文本中提取\n",
    "            text = tdsum.get_text(strip=True)\n",
    "            match = re.search(r'总费用[：:]\\s*([\\d.]+)', text)\n",
    "            if match:\n",
    "                result['总费用'] = match.group(1)\n",
    "    \n",
    "    return result\n",
    "\n",
    "cookies = {\n",
    "    'Ewewo.PC.Models': '1,True|2,False|3,False|4,True',\n",
    "    'Ewewo.PC.SelectedStoreIdCookie': '',\n",
    "    'Ewewo.PC.Udesk': '',\n",
    "    'saas_kw_pc': '',\n",
    "    'saas_kw_pc_expirationTime': '',\n",
    "    'saas_kw_pc_refreshKey': '',\n",
    "    'Hm_lvt_2272ec76fd7a2b1c14e8d8166d2367cd': '1765955464,1766133964',\n",
    "    'HMACCOUNT': '55F2182717FD6AE6',\n",
    "    'gr_user_id': '777008e8-ed80-4b0e-a507-0579649e06e0',\n",
    "    '900b05ef6948f1dc_gr_session_id': '42e62728-164f-468c-9721-61aeb76aa9e4',\n",
    "    'ASP.NET_SessionId': '4ddf4ihm3bdmcnuyhyj1z04h',\n",
    "    '900b05ef6948f1dc_gr_session_id_sent_vst': '42e62728-164f-468c-9721-61aeb76aa9e4',\n",
    "    'Ewewo.PC.MUId': 'mE8yefLeKH95xJspQ37+2A==',\n",
    "    'Ewewo.PC.SID': 'iAp8PPtNwbU=',\n",
    "    'Ewewo.PC.MSID': '19',\n",
    "    'Ewewo.PC.UserId': 'VOvzhrhOWrU=',\n",
    "    'Ewewo.PC.UUid': '0',\n",
    "    'Ewewo.PC.LoginCode_71': 'f95f644b57b4501ce5813d6fead42688',\n",
    "    'Ewewo.PC.LastVisite_71': '2025/12/19 17:10:08',\n",
    "    'Ewewo.PC.StoreId': '36',\n",
    "    'Ewewo.PC.UserLatelyUpdateLogId': '87',\n",
    "    'Ewewo.PC.StoreIdCookie': '36',\n",
    "    'acw_tc': '0adc26e617661358407538445ec801840f28905a731d024bd9042b0bf143ef',\n",
    "    'Hm_lpvt_2272ec76fd7a2b1c14e8d8166d2367cd': '1766137238',\n",
    "    'SERVERID': '9ea6a76a853428d196fc7c93a0e8b7b0|1766137238|1766133963',\n",
    "}\n",
    "\n",
    "headers = {\n",
    "    'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',\n",
    "    'accept-language': 'zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6',\n",
    "    'cache-control': 'no-cache',\n",
    "    'pragma': 'no-cache',\n",
    "    'priority': 'u=0, i',\n",
    "    'referer': 'https://s.kzewe.com/Main/serve/recordlist',\n",
    "    'sec-ch-ua': '\"Microsoft Edge\";v=\"143\", \"Chromium\";v=\"143\", \"Not A(Brand\";v=\"24\"',\n",
    "    'sec-ch-ua-mobile': '?0',\n",
    "    'sec-ch-ua-platform': '\"Windows\"',\n",
    "    'sec-fetch-dest': 'document',\n",
    "    'sec-fetch-mode': 'navigate',\n",
    "    'sec-fetch-site': 'same-origin',\n",
    "    'sec-fetch-user': '?1',\n",
    "    'upgrade-insecure-requests': '1',\n",
    "    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36 Edg/143.0.0.0',\n",
    "}\n",
    "\n",
    "import time\n",
    "import json\n",
    "import os\n",
    "from datetime import datetime\n",
    "from requests.adapters import HTTPAdapter\n",
    "from urllib3.util.retry import Retry\n",
    "\n",
    "# ==================== 配置参数 ====================\n",
    "MAX_RETRIES = 5  # 最大重试次数\n",
    "RETRY_DELAY = 2  # 重试延迟（秒）\n",
    "REQUEST_TIMEOUT = 30  # 请求超时时间（秒）\n",
    "REQUEST_DELAY = 0.5  # 每次请求之间的延迟（秒），避免请求过快\n",
    "SAVE_INTERVAL = 100  # 每处理N个单据保存一次\n",
    "PROGRESS_FILE = \"快维处理进度.json\"  # 进度文件\n",
    "OUTPUT_FILE = \"快维历史维修记录明细.xlsx\"  # 输出文件\n",
    "ERROR_LOG_FILE = \"快维错误日志.txt\"  # 错误日志文件\n",
    "\n",
    "# ==================== 设置重试策略 ====================\n",
    "session = requests.Session()\n",
    "retry_strategy = Retry(\n",
    "    total=MAX_RETRIES,\n",
    "    backoff_factor=RETRY_DELAY,\n",
    "    status_forcelist=[429, 500, 502, 503, 504],\n",
    "    allowed_methods=[\"GET\", \"POST\"]\n",
    ")\n",
    "adapter = HTTPAdapter(max_retries=retry_strategy)\n",
    "session.mount(\"http://\", adapter)\n",
    "session.mount(\"https://\", adapter)\n",
    "\n",
    "# ==================== 清理旧的临时文件 ====================\n",
    "temp_file = OUTPUT_FILE.replace('.xlsx', '_temp.xlsx')\n",
    "if os.path.exists(temp_file):\n",
    "    try:\n",
    "        os.remove(temp_file)\n",
    "        print(f\"已清理旧的临时文件: {temp_file}\")\n",
    "    except Exception as e:\n",
    "        print(f\"清理临时文件失败: {e}\")\n",
    "\n",
    "# ==================== 加载进度（支持断点续传） ====================\n",
    "processed_bill_ids = set()\n",
    "if os.path.exists(PROGRESS_FILE):\n",
    "    try:\n",
    "        with open(PROGRESS_FILE, 'r', encoding='utf-8') as f:\n",
    "            progress_data = json.load(f)\n",
    "            processed_bill_ids = set(progress_data.get('processed_bill_ids', []))\n",
    "            print(f\"已加载进度：已处理 {len(processed_bill_ids)} 个单据\")\n",
    "    except Exception as e:\n",
    "        print(f\"加载进度文件失败: {e}，将从头开始\")\n",
    "\n",
    "# ==================== 加载已有数据（支持断点续传） ====================\n",
    "all_detail_records = []\n",
    "if os.path.exists(OUTPUT_FILE):\n",
    "    try:\n",
    "        existing_df = pd.read_excel(OUTPUT_FILE)\n",
    "        all_detail_records = existing_df.to_dict('records')\n",
    "        # 从已有数据中提取已处理的单据ID\n",
    "        if '单据ID' in existing_df.columns:\n",
    "            existing_bill_ids = set(existing_df['单据ID'].astype(str).unique())\n",
    "            processed_bill_ids.update(existing_bill_ids)\n",
    "        print(f\"已加载已有数据：{len(all_detail_records)} 条记录，{len(processed_bill_ids)} 个已处理单据\")\n",
    "    except Exception as e:\n",
    "        print(f\"加载已有数据失败: {e}，将重新开始\")\n",
    "\n",
    "# ==================== 错误日志函数 ====================\n",
    "def log_error(bill_id, error_msg, error_type=\"ERROR\"):\n",
    "    \"\"\"记录错误到日志文件\"\"\"\n",
    "    timestamp = datetime.now().strftime(\"%Y-%m-%d %H:%M:%S\")\n",
    "    log_entry = f\"[{timestamp}] [{error_type}] 单据ID: {bill_id}, 错误: {error_msg}\\n\"\n",
    "    try:\n",
    "        with open(ERROR_LOG_FILE, 'a', encoding='utf-8') as f:\n",
    "            f.write(log_entry)\n",
    "    except Exception as e:\n",
    "        print(f\"写入错误日志失败: {e}\")\n",
    "\n",
    "# ==================== 保存进度函数 ====================\n",
    "def save_progress():\n",
    "    \"\"\"保存处理进度\"\"\"\n",
    "    try:\n",
    "        progress_data = {\n",
    "            'processed_bill_ids': list(processed_bill_ids),\n",
    "            'last_update': datetime.now().strftime(\"%Y-%m-%d %H:%M:%S\"),\n",
    "            'total_records': len(all_detail_records)\n",
    "        }\n",
    "        with open(PROGRESS_FILE, 'w', encoding='utf-8') as f:\n",
    "            json.dump(progress_data, f, ensure_ascii=False, indent=2)\n",
    "    except Exception as e:\n",
    "        print(f\"保存进度失败: {e}\")\n",
    "\n",
    "# ==================== 保存数据函数 ====================\n",
    "def save_data():\n",
    "    \"\"\"保存数据到Excel，自动去重\"\"\"\n",
    "    try:\n",
    "        if all_detail_records:\n",
    "            df_details = pd.DataFrame(all_detail_records)\n",
    "            # 去重：基于单据ID和项目名称（如果有的话）\n",
    "            if '单据ID' in df_details.columns and '项目名称' in df_details.columns:\n",
    "                # 如果有多条记录，基于单据ID和项目名称去重\n",
    "                original_count = len(df_details)\n",
    "                df_details = df_details.drop_duplicates(subset=['单据ID', '项目名称'], keep='last')\n",
    "                if original_count != len(df_details):\n",
    "                    print(f\"去重：{original_count} -> {len(df_details)} 条记录\")\n",
    "            elif '单据ID' in df_details.columns:\n",
    "                # 如果只有单据ID，基于单据ID去重\n",
    "                original_count = len(df_details)\n",
    "                df_details = df_details.drop_duplicates(subset=['单据ID'], keep='last')\n",
    "                if original_count != len(df_details):\n",
    "                    print(f\"去重：{original_count} -> {len(df_details)} 条记录\")\n",
    "            \n",
    "            # 保存到临时文件，成功后再覆盖原文件\n",
    "            # 使用 .xlsx 扩展名，确保 pandas 能识别\n",
    "            temp_file = OUTPUT_FILE.replace('.xlsx', '_temp.xlsx')\n",
    "            df_details.to_excel(temp_file, index=False)\n",
    "            if os.path.exists(temp_file):\n",
    "                # 如果原文件存在，先删除\n",
    "                if os.path.exists(OUTPUT_FILE):\n",
    "                    os.remove(OUTPUT_FILE)\n",
    "                # 重命名临时文件为正式文件\n",
    "                os.rename(temp_file, OUTPUT_FILE)\n",
    "            print(f\"数据已保存：{len(df_details)} 条记录\")\n",
    "    except Exception as e:\n",
    "        print(f\"保存数据失败: {e}\")\n",
    "        log_error(\"SAVE\", str(e), \"SAVE_ERROR\")\n",
    "\n",
    "# ==================== 带重试的请求函数 ====================\n",
    "def fetch_bill_detail(bill_id, retry_count=0):\n",
    "    \"\"\"获取单据详情，带重试机制\"\"\"\n",
    "    detail_url = f'https://s.kzewe.com/Main/serve/quickdetail/{bill_id}'\n",
    "    \n",
    "    try:\n",
    "        response = session.get(\n",
    "            detail_url, \n",
    "            cookies=cookies, \n",
    "            headers=headers,\n",
    "            timeout=REQUEST_TIMEOUT\n",
    "        )\n",
    "        \n",
    "        if response.status_code == 200:\n",
    "            return response.text\n",
    "        elif response.status_code == 404:\n",
    "            log_error(bill_id, f\"单据不存在 (404)\", \"WARNING\")\n",
    "            return None\n",
    "        else:\n",
    "            raise Exception(f\"HTTP状态码: {response.status_code}\")\n",
    "            \n",
    "    except requests.exceptions.Timeout:\n",
    "        if retry_count < MAX_RETRIES:\n",
    "            wait_time = RETRY_DELAY * (2 ** retry_count)\n",
    "            log_error(bill_id, f\"请求超时，{wait_time}秒后重试 (第{retry_count+1}次)\", \"RETRY\")\n",
    "            time.sleep(wait_time)\n",
    "            return fetch_bill_detail(bill_id, retry_count + 1)\n",
    "        else:\n",
    "            log_error(bill_id, f\"请求超时，已达到最大重试次数\", \"ERROR\")\n",
    "            return None\n",
    "            \n",
    "    except requests.exceptions.ConnectionError:\n",
    "        if retry_count < MAX_RETRIES:\n",
    "            wait_time = RETRY_DELAY * (2 ** retry_count)\n",
    "            log_error(bill_id, f\"连接错误，{wait_time}秒后重试 (第{retry_count+1}次)\", \"RETRY\")\n",
    "            time.sleep(wait_time)\n",
    "            return fetch_bill_detail(bill_id, retry_count + 1)\n",
    "        else:\n",
    "            log_error(bill_id, f\"连接错误，已达到最大重试次数\", \"ERROR\")\n",
    "            return None\n",
    "            \n",
    "    except Exception as e:\n",
    "        if retry_count < MAX_RETRIES:\n",
    "            wait_time = RETRY_DELAY * (2 ** retry_count)\n",
    "            log_error(bill_id, f\"请求失败: {str(e)}，{wait_time}秒后重试 (第{retry_count+1}次)\", \"RETRY\")\n",
    "            time.sleep(wait_time)\n",
    "            return fetch_bill_detail(bill_id, retry_count + 1)\n",
    "        else:\n",
    "            log_error(bill_id, f\"请求失败: {str(e)}，已达到最大重试次数\", \"ERROR\")\n",
    "            return None\n",
    "\n",
    "# ==================== 读取单据明细Excel文件 ====================\n",
    "df = pd.read_excel(\"快维单据明细.xlsx\")\n",
    "print(f\"总共需要处理 {len(df)} 个单据\")\n",
    "\n",
    "# ==================== 遍历每个单据，获取详情并展开明细数据 ====================\n",
    "start_time = time.time()\n",
    "processed_count = 0\n",
    "failed_count = 0\n",
    "\n",
    "for index, row in tqdm(df.iterrows(), total=len(df), desc=\"处理进度\"):\n",
    "    try:\n",
    "        # 获取单据ID（支持Id或ID列名）\n",
    "        bill_id = row.get('Id') or row.get('ID') or row.get('id')\n",
    "        \n",
    "        if pd.isna(bill_id):\n",
    "            log_error(f\"ROW_{index+1}\", \"缺少单据ID\", \"WARNING\")\n",
    "            continue\n",
    "        \n",
    "        bill_id = str(int(bill_id))  # 转换为字符串\n",
    "        \n",
    "        # 跳过已处理的单据（断点续传）\n",
    "        if bill_id in processed_bill_ids:\n",
    "            continue\n",
    "        \n",
    "        # 请求延迟，避免请求过快\n",
    "        time.sleep(REQUEST_DELAY)\n",
    "        \n",
    "        # 请求单据详情页面（带重试）\n",
    "        html_content = fetch_bill_detail(bill_id)\n",
    "        \n",
    "        if html_content is None:\n",
    "            failed_count += 1\n",
    "            continue\n",
    "        \n",
    "        # 解析HTML获取单据信息\n",
    "        try:\n",
    "            bill_info = extract_bill_info(html_content)\n",
    "        except Exception as e:\n",
    "            log_error(bill_id, f\"解析HTML失败: {str(e)}\", \"ERROR\")\n",
    "            failed_count += 1\n",
    "            continue\n",
    "        \n",
    "        # 获取Excel中的其他字段信息\n",
    "        bill_no = row.get('No', '')\n",
    "        car_no = row.get('CarNo', '')\n",
    "        # 优先使用HTML中提取的客户信息，如果没有则使用Excel中的\n",
    "        customer_name = bill_info.get('客户名称', '') or row.get('CustomerName', '')\n",
    "        customer_mobile = bill_info.get('客户手机', '') or row.get('CustomerMobile', '')\n",
    "        start_time = row.get('StartTime', '')\n",
    "        receipt_time = row.get('ReceiptTime', '')\n",
    "        actual_total = row.get('ActualTotal', '')\n",
    "        project_money = row.get('ProjectMoney', '')\n",
    "        part_money = row.get('PartMoney', '')\n",
    "        \n",
    "        # 将项目材料列表展开为多行明细数据\n",
    "        if bill_info['项目材料列表']:\n",
    "            # 如果有项目材料明细，为每条明细创建一行记录\n",
    "            for item in bill_info['项目材料列表']:\n",
    "                detail_record = {\n",
    "                    '单据ID': bill_id,\n",
    "                    '单据编号': bill_no,\n",
    "                    '车牌号': car_no,\n",
    "                    '客户名称': customer_name,\n",
    "                    '客户手机': customer_mobile,\n",
    "                    '开单时间': bill_info['开单时间'],\n",
    "                    '车辆等级': bill_info['车辆等级'],\n",
    "                    '本次里程': bill_info['本次里程'],\n",
    "                    '客户单位': bill_info['客户单位'],\n",
    "                    '上次开单时间': bill_info['上次开单时间'],\n",
    "                    '上次里程': bill_info['上次里程'],\n",
    "                    '项目名称': item.get('项目名称', ''),\n",
    "                    '单价': item.get('单价', ''),\n",
    "                    '数量': item.get('数量', ''),\n",
    "                    '折扣': item.get('折扣', ''),\n",
    "                    '金额': item.get('金额', ''),\n",
    "                    '销售员': item.get('销售员', ''),\n",
    "                    '施工员': item.get('施工员', ''),\n",
    "                    '工时费': bill_info['工时费'],\n",
    "                    '总费用': bill_info['总费用'],\n",
    "                    '开始时间': start_time,\n",
    "                    '收款时间': receipt_time,\n",
    "                    '实收金额': actual_total,\n",
    "                    '项目金额': project_money,\n",
    "                    '材料金额': part_money\n",
    "                }\n",
    "                all_detail_records.append(detail_record)\n",
    "        else:\n",
    "            # 如果没有项目材料明细，也保存一条记录（只包含单据基本信息）\n",
    "            detail_record = {\n",
    "                '单据ID': bill_id,\n",
    "                '单据编号': bill_no,\n",
    "                '车牌号': car_no,\n",
    "                '客户名称': customer_name,\n",
    "                '客户手机': customer_mobile,\n",
    "                '开单时间': bill_info['开单时间'],\n",
    "                '车辆等级': bill_info['车辆等级'],\n",
    "                '本次里程': bill_info['本次里程'],\n",
    "                '客户单位': bill_info['客户单位'],\n",
    "                '上次开单时间': bill_info['上次开单时间'],\n",
    "                '上次里程': bill_info['上次里程'],\n",
    "                '项目名称': '',\n",
    "                '单价': '',\n",
    "                '数量': '',\n",
    "                '折扣': '',\n",
    "                '金额': '',\n",
    "                '销售员': '',\n",
    "                '施工员': '',\n",
    "                '工时费': bill_info['工时费'],\n",
    "                '总费用': bill_info['总费用'],\n",
    "                '开始时间': start_time,\n",
    "                '收款时间': receipt_time,\n",
    "                '实收金额': actual_total,\n",
    "                '项目金额': project_money,\n",
    "                '材料金额': part_money\n",
    "            }\n",
    "            all_detail_records.append(detail_record)\n",
    "        \n",
    "        # 标记为已处理\n",
    "        processed_bill_ids.add(bill_id)\n",
    "        processed_count += 1\n",
    "        \n",
    "        # 定期保存进度和数据\n",
    "        if processed_count % SAVE_INTERVAL == 0:\n",
    "            save_progress()\n",
    "            save_data()\n",
    "            elapsed_time = time.time() - start_time\n",
    "            avg_time = elapsed_time / processed_count if processed_count > 0 else 0\n",
    "            remaining = len(df) - len(processed_bill_ids)\n",
    "            estimated_time = remaining * avg_time\n",
    "            print(f\"\\n进度更新: 已处理 {processed_count} 个单据，失败 {failed_count} 个\")\n",
    "            print(f\"预计剩余时间: {estimated_time/3600:.2f} 小时\")\n",
    "            \n",
    "    except Exception as e:\n",
    "        bill_id = row.get('Id') or row.get('ID') or row.get('id')\n",
    "        log_error(bill_id, f\"处理异常: {str(e)}\", \"ERROR\")\n",
    "        failed_count += 1\n",
    "        continue\n",
    "\n",
    "# ==================== 最终保存 ====================\n",
    "print(\"\\n开始最终保存...\")\n",
    "save_progress()\n",
    "save_data()\n",
    "\n",
    "# ==================== 输出统计信息 ====================\n",
    "elapsed_time = time.time() - start_time\n",
    "print(f\"\\n{'='*60}\")\n",
    "print(f\"处理完成！\")\n",
    "print(f\"{'='*60}\")\n",
    "print(f\"总单据数: {len(df)}\")\n",
    "print(f\"成功处理: {processed_count} 个\")\n",
    "print(f\"失败数量: {failed_count} 个\")\n",
    "print(f\"已跳过（已处理）: {len(processed_bill_ids) - processed_count} 个\")\n",
    "print(f\"生成明细记录: {len(all_detail_records)} 条\")\n",
    "print(f\"总耗时: {elapsed_time/3600:.2f} 小时 ({elapsed_time:.0f} 秒)\")\n",
    "print(f\"平均处理速度: {processed_count/elapsed_time*60:.2f} 个/分钟\" if elapsed_time > 0 else \"N/A\")\n",
    "print(f\"{'='*60}\")\n",
    "\n",
    "if all_detail_records:\n",
    "    df_details = pd.DataFrame(all_detail_records)\n",
    "    print(f\"\\n数据预览（前5条）:\")\n",
    "    print(df_details.head())\n",
    "    print(f\"\\n数据已保存到: {OUTPUT_FILE}\")\n",
    "    print(f\"进度文件: {PROGRESS_FILE}\")\n",
    "    print(f\"错误日志: {ERROR_LOG_FILE}\")\n",
    "else:\n",
    "    print(\"警告: 没有提取到任何数据\")"
   ],
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "已加载进度：已处理 200 个单据\n",
      "总共需要处理 64800 个单据\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "处理进度:   0%|          | 0/64800 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "b2e6ffc52dc94858850d63169523586d"
      }
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "\n",
      "开始最终保存...\n",
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     ]
    },
    {
     "ename": "TypeError",
     "evalue": "unsupported operand type(s) for -: 'float' and 'str'",
     "output_type": "error",
     "traceback": [
      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
      "\u001B[31mTypeError\u001B[39m                                 Traceback (most recent call last)",
      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[28]\u001B[39m\u001B[32m, line 710\u001B[39m\n\u001B[32m    707\u001B[39m save_data()\n\u001B[32m    709\u001B[39m \u001B[38;5;66;03m# ==================== 输出统计信息 ====================\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m710\u001B[39m elapsed_time = time.time() - start_time\n\u001B[32m    711\u001B[39m \u001B[38;5;28mprint\u001B[39m(\u001B[33mf\u001B[39m\u001B[33m\"\u001B[39m\u001B[38;5;130;01m\\n\u001B[39;00m\u001B[38;5;132;01m{\u001B[39;00m\u001B[33m'\u001B[39m\u001B[33m=\u001B[39m\u001B[33m'\u001B[39m*\u001B[32m60\u001B[39m\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m\"\u001B[39m)\n\u001B[32m    712\u001B[39m \u001B[38;5;28mprint\u001B[39m(\u001B[33mf\u001B[39m\u001B[33m\"\u001B[39m\u001B[33m处理完成！\u001B[39m\u001B[33m\"\u001B[39m)\n",
      "\u001B[31mTypeError\u001B[39m: unsupported operand type(s) for -: 'float' and 'str'"
     ]
    }
   ],
   "execution_count": 28
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-22T01:02:37.467323Z",
     "start_time": "2025-12-22T01:02:36.848450Z"
    }
   },
   "cell_type": "code",
   "source": [
    "if all_detail_records:\n",
    "    df_details = pd.DataFrame(all_detail_records)\n",
    "    print(f\"\\n数据预览（前5条）:\")\n",
    "    print(df_details.head())\n",
    "    print(f\"\\n数据已保存到: {OUTPUT_FILE}\")\n",
    "    print(f\"进度文件: {PROGRESS_FILE}\")\n",
    "    print(f\"错误日志: {ERROR_LOG_FILE}\")\n",
    "else:\n",
    "    print(\"警告: 没有提取到任何数据\")"
   ],
   "id": "40975ed594811b52",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "数据预览（前5条）:\n",
      "      单据ID          单据编号       车牌号      客户名称         客户手机              开单时间  \\\n",
      "0  3760247    2512130012   鄂A9V8K5        张明  15342331029  2025-12-13 15:25   \n",
      "1  3760207  XC2512130022  鄂AFM1781  鄂AFM1781         无手机号  2025-12-13 15:15   \n",
      "2  3760183  XC2512130021  鄂AGA5553       王先生  18507191193  2025-12-13 15:07   \n",
      "3  3760176  XC2512130020   鄂A2V8A2       杜启钊  13871148497  2025-12-13 15:05   \n",
      "4  3760159    2512130011  鄂AAN5192  鄂AAN5192         无手机号  2025-12-13 15:01   \n",
      "\n",
      "  车辆等级   本次里程 客户单位            上次开单时间  ...     金额 销售员 施工员    工时费    总费用  \\\n",
      "0           0                         ...                 32.00  32.00   \n",
      "1                   2025-11-19 10:20  ...   5.00           5.00   5.00   \n",
      "2       53300       2025-11-12 14:42  ...  32.00          32.00  32.00   \n",
      "3       77471       2025-06-30 18:16  ...  18.00          18.00  18.00   \n",
      "4           0                         ...                 30.00  30.00   \n",
      "\n",
      "                    开始时间                   收款时间  实收金额  项目金额 材料金额  \n",
      "0  /Date(1765610700000)/  /Date(1765613100000)/  32.0  32.0  0.0  \n",
      "1  /Date(1765610100000)/  /Date(1765610100000)/   5.0   5.0  0.0  \n",
      "2  /Date(1765609620000)/  /Date(1765610040000)/  32.0  32.0  0.0  \n",
      "3  /Date(1765609500000)/  /Date(1765611900000)/  18.0  18.0  0.0  \n",
      "4  /Date(1765609260000)/  /Date(1765611900000)/  30.0  30.0  0.0  \n",
      "\n",
      "[5 rows x 25 columns]\n",
      "\n",
      "数据已保存到: 快维历史维修记录明细.xlsx\n",
      "进度文件: 快维处理进度.json\n",
      "错误日志: 快维错误日志.txt\n"
     ]
    }
   ],
   "execution_count": 30
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "30d7463b42b75fc0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-12-20T09:31:15.151767Z",
     "start_time": "2025-12-20T09:31:15.026483Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"开单时间\": \"2025-12-20 08:27\",\n",
      "  \"车辆等级\": \"\",\n",
      "  \"本次里程\": \"\",\n",
      "  \"客户单位\": \"\",\n",
      "  \"上次开单时间\": \"\",\n",
      "  \"上次里程\": \"\",\n",
      "  \"项目材料列表\": [\n",
      "    {\n",
      "      \"项目名称\": \"普通洗车（轿车）\",\n",
      "      \"单价\": \"30.00\",\n",
      "      \"数量\": \"1\",\n",
      "      \"折扣\": \"100%\",\n",
      "      \"金额\": \"30.00\",\n",
      "      \"销售员\": \"\",\n",
      "      \"施工员\": \"\"\n",
      "    }\n",
      "  ],\n",
      "  \"工时费\": \"30.00\",\n",
      "  \"总费用\": \"30.00\"\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "from bs4 import BeautifulSoup\n",
    "import re\n",
    "import json\n",
    "\n",
    "def extract_bill_info(html_content):\n",
    "    \"\"\"\n",
    "    从快维系统HTML页面中提取开单信息\n",
    "    基于实际HTML结构优化\n",
    "    \"\"\"\n",
    "    soup = BeautifulSoup(html_content, 'html.parser')\n",
    "\n",
    "    result = {\n",
    "        '开单时间': '',\n",
    "        '车辆等级': '',\n",
    "        '本次里程': '',\n",
    "        '客户单位': '',\n",
    "        '上次开单时间': '',\n",
    "        '上次里程': '',\n",
    "        '项目材料列表': [],\n",
    "        '工时费': '',\n",
    "        '总费用': ''\n",
    "    }\n",
    "\n",
    "    # 1. 提取开单时间 - id=\"txtstarttime\"\n",
    "    txtstarttime = soup.find('input', {'id': 'txtstarttime'})\n",
    "    if txtstarttime:\n",
    "        result['开单时间'] = txtstarttime.get('value', '').strip()\n",
    "\n",
    "    # 2. 提取车辆等级 - id=\"carlevel\" 的select中选中的option\n",
    "    carlevel = soup.find('select', {'id': 'carlevel'})\n",
    "    if carlevel:\n",
    "        selected_option = carlevel.find('option', selected=True)\n",
    "        if not selected_option:\n",
    "            # 如果没有selected属性，查找value不为空的第一个option\n",
    "            selected_option = carlevel.find('option', value=lambda x: x and x != '')\n",
    "        if selected_option:\n",
    "            result['车辆等级'] = selected_option.get_text(strip=True)\n",
    "            # 如果是\"请选择\"，则设为空\n",
    "            if result['车辆等级'] == '请选择':\n",
    "                result['车辆等级'] = ''\n",
    "\n",
    "    # 3. 提取本次里程 - id=\"txtmileage\"\n",
    "    txtmileage = soup.find('input', {'id': 'txtmileage'})\n",
    "    if txtmileage:\n",
    "        result['本次里程'] = txtmileage.get('value', '').strip()\n",
    "        # 移除\"公里\"单位\n",
    "        if result['本次里程'] and result['本次里程'].endswith('公里'):\n",
    "            result['本次里程'] = result['本次里程'].replace('公里', '').strip()\n",
    "\n",
    "    # 4. 提取客户单位 - id=\"txtcompanyname\"\n",
    "    txtcompanyname = soup.find('input', {'id': 'txtcompanyname'})\n",
    "    if txtcompanyname:\n",
    "        result['客户单位'] = txtcompanyname.get('value', '').strip()\n",
    "\n",
    "    # 5. 提取上次开单时间 - id=\"laststarttime\"\n",
    "    laststarttime = soup.find('span', {'id': 'laststarttime'})\n",
    "    if laststarttime:\n",
    "        result['上次开单时间'] = laststarttime.get_text(strip=True)\n",
    "\n",
    "    # 6. 提取上次里程 - id=\"lastmileage\"\n",
    "    lastmileage = soup.find('td', {'id': 'lastmileage'})\n",
    "    if lastmileage:\n",
    "        result['上次里程'] = lastmileage.get_text(strip=True)\n",
    "        # 移除\"-分\"等无效值\n",
    "        if result['上次里程'] in ['-分', '-']:\n",
    "            result['上次里程'] = ''\n",
    "\n",
    "    # 7. 提取项目材料列表\n",
    "    # 查找class=\"xichekd\"的div中的表格\n",
    "    xichekd_div = soup.find('div', {'class': 'xichekd'})\n",
    "    if xichekd_div:\n",
    "        table = xichekd_div.find('table')\n",
    "        if table:\n",
    "            # 查找表头行（thead中的tr）\n",
    "            thead = table.find('thead')\n",
    "            if thead:\n",
    "                header_row = thead.find('tr')\n",
    "                if header_row:\n",
    "                    # 查找数据行（tbody中的tr，如果没有tbody则在table下直接查找）\n",
    "                    tbody = table.find('tbody')\n",
    "                    if tbody:\n",
    "                        rows = tbody.find_all('tr')\n",
    "                    else:\n",
    "                        # 如果没有tbody，查找所有tr，跳过表头\n",
    "                        all_rows = table.find_all('tr')\n",
    "                        rows = [r for r in all_rows if r != header_row]\n",
    "\n",
    "                    # 解析每一行数据\n",
    "                    for row in rows:\n",
    "                        # 跳过表头行\n",
    "                        if row == header_row:\n",
    "                            continue\n",
    "\n",
    "                        # 通过f属性查找各个字段的td\n",
    "                        item = {}\n",
    "\n",
    "                        # 项目名称 - f=\"name\"\n",
    "                        name_td = row.find('td', {'f': 'name'})\n",
    "                        if name_td:\n",
    "                            name_input = name_td.find('input')\n",
    "                            if name_input:\n",
    "                                item['项目名称'] = name_input.get('value', '').strip()\n",
    "\n",
    "                        # 单价 - f=\"price\"\n",
    "                        price_td = row.find('td', {'f': 'price'})\n",
    "                        if price_td:\n",
    "                            price_input = price_td.find('input')\n",
    "                            if price_input:\n",
    "                                item['单价'] = price_input.get('value', '').strip()\n",
    "\n",
    "                        # 数量 - f=\"qty\"\n",
    "                        qty_td = row.find('td', {'f': 'qty'})\n",
    "                        if qty_td:\n",
    "                            qty_input = qty_td.find('input')\n",
    "                            if qty_input:\n",
    "                                item['数量'] = qty_input.get('value', '').strip()\n",
    "\n",
    "                        # 折扣 - f=\"discount\"\n",
    "                        discount_td = row.find('td', {'f': 'discount'})\n",
    "                        if discount_td:\n",
    "                            discount_input = discount_td.find('input')\n",
    "                            if discount_input:\n",
    "                                discount_value = discount_input.get('value', '').strip()\n",
    "                                # 检查后面是否有%符号\n",
    "                                percent_span = discount_td.find('span', class_='bfb2')\n",
    "                                if percent_span and percent_span.get_text(strip=True) == '%':\n",
    "                                    item['折扣'] = discount_value + '%'\n",
    "                                else:\n",
    "                                    item['折扣'] = discount_value\n",
    "\n",
    "                        # 金额 - f=\"total\"\n",
    "                        total_td = row.find('td', {'f': 'total'})\n",
    "                        if total_td:\n",
    "                            total_input = total_td.find('input')\n",
    "                            if total_input:\n",
    "                                item['金额'] = total_input.get('value', '').strip()\n",
    "\n",
    "                        # 销售员 - f=\"sales\"\n",
    "                        sales_td = row.find('td', {'f': 'sales'})\n",
    "                        if sales_td:\n",
    "                            sales_input = sales_td.find('input')\n",
    "                            if sales_input:\n",
    "                                item['销售员'] = sales_input.get('value', '').strip()\n",
    "\n",
    "                        # 施工员 - f=\"operater\"\n",
    "                        operater_td = row.find('td', {'f': 'operater'})\n",
    "                        if operater_td:\n",
    "                            operater_input = operater_td.find('input')\n",
    "                            if operater_input:\n",
    "                                item['施工员'] = operater_input.get('value', '').strip()\n",
    "\n",
    "                        # 只有当有项目名称时才添加到列表\n",
    "                        if item.get('项目名称'):\n",
    "                            result['项目材料列表'].append(item)\n",
    "\n",
    "    # 8. 提取工时费 - name=\"tdsumlabour\" 的td中的font标签\n",
    "    tdsumlabour = soup.find('td', {'name': 'tdsumlabour'})\n",
    "    if tdsumlabour:\n",
    "        font = tdsumlabour.find('font')\n",
    "        if font:\n",
    "            result['工时费'] = font.get_text(strip=True)\n",
    "        else:\n",
    "            # 如果没有font标签，直接从td文本中提取\n",
    "            text = tdsumlabour.get_text(strip=True)\n",
    "            match = re.search(r'工时费[：:]\\s*([\\d.]+)', text)\n",
    "            if match:\n",
    "                result['工时费'] = match.group(1)\n",
    "\n",
    "    # 9. 提取总费用 - name=\"tdsum\" 的td中的em标签\n",
    "    tdsum = soup.find('td', {'name': 'tdsum'})\n",
    "    if tdsum:\n",
    "        em = tdsum.find('em')\n",
    "        if em:\n",
    "            result['总费用'] = em.get_text(strip=True)\n",
    "        else:\n",
    "            # 如果没有em标签，直接从td文本中提取\n",
    "            text = tdsum.get_text(strip=True)\n",
    "            match = re.search(r'总费用[：:]\\s*([\\d.]+)', text)\n",
    "            if match:\n",
    "                result['总费用'] = match.group(1)\n",
    "\n",
    "    return result\n",
    "\n",
    "# 测试解析函数\n",
    "soup = BeautifulSoup(response.text, 'html.parser')\n",
    "bill_info = extract_bill_info(response.text)\n",
    "print(json.dumps(bill_info, ensure_ascii=False, indent=2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2a6a259a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 批量处理多个单据详情页面并保存到Excel\n",
    "import pandas as pd\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "# 读取单据列表\n",
    "df_bills = pd.read_excel(\"快维单据明细.xlsx\")\n",
    "\n",
    "# 存储所有解析结果\n",
    "all_bill_details = []\n",
    "\n",
    "# 处理前N条数据（测试用，可以修改数量）\n",
    "test_count = 10  # 可以改为 len(df_bills) 处理全部数据\n",
    "\n",
    "for index, row in tqdm(df_bills.head(test_count).iterrows(), total=min(test_count, len(df_bills))):\n",
    "    try:\n",
    "        # 获取单据详情页面\n",
    "        bill_id = row['Id']\n",
    "        detail_url = f'https://s.kzewe.com/Main/serve/quickdetail/{bill_id}'\n",
    "        detail_response = requests.get(detail_url, cookies=cookies, headers=headers)\n",
    "        \n",
    "        # 解析HTML\n",
    "        bill_info = extract_bill_info(detail_response.text)\n",
    "        \n",
    "        # 添加单据基本信息\n",
    "        bill_info['单据ID'] = bill_id\n",
    "        bill_info['单据编号'] = row.get('No', '')\n",
    "        bill_info['车牌号'] = row.get('CarNo', '')\n",
    "        \n",
    "        # 将项目材料列表展开为多行\n",
    "        if bill_info['项目材料列表']:\n",
    "            for item in bill_info['项目材料列表']:\n",
    "                detail_row = {\n",
    "                    '单据ID': bill_id,\n",
    "                    '单据编号': row.get('No', ''),\n",
    "                    '车牌号': row.get('CarNo', ''),\n",
    "                    '开单时间': bill_info['开单时间'],\n",
    "                    '车辆等级': bill_info['车辆等级'],\n",
    "                    '本次里程': bill_info['本次里程'],\n",
    "                    '客户单位': bill_info['客户单位'],\n",
    "                    '上次开单时间': bill_info['上次开单时间'],\n",
    "                    '上次里程': bill_info['上次里程'],\n",
    "                    '项目名称': item.get('项目名称', ''),\n",
    "                    '单价': item.get('单价', ''),\n",
    "                    '数量': item.get('数量', ''),\n",
    "                    '折扣': item.get('折扣', ''),\n",
    "                    '金额': item.get('金额', ''),\n",
    "                    '销售员': item.get('销售员', ''),\n",
    "                    '施工员': item.get('施工员', ''),\n",
    "                    '工时费': bill_info['工时费'],\n",
    "                    '总费用': bill_info['总费用']\n",
    "                }\n",
    "                all_bill_details.append(detail_row)\n",
    "        else:\n",
    "            # 如果没有项目材料，也保存一条记录\n",
    "            detail_row = {\n",
    "                '单据ID': bill_id,\n",
    "                '单据编号': row.get('No', ''),\n",
    "                '车牌号': row.get('CarNo', ''),\n",
    "                '开单时间': bill_info['开单时间'],\n",
    "                '车辆等级': bill_info['车辆等级'],\n",
    "                '本次里程': bill_info['本次里程'],\n",
    "                '客户单位': bill_info['客户单位'],\n",
    "                '上次开单时间': bill_info['上次开单时间'],\n",
    "                '上次里程': bill_info['上次里程'],\n",
    "                '项目名称': '',\n",
    "                '单价': '',\n",
    "                '数量': '',\n",
    "                '折扣': '',\n",
    "                '金额': '',\n",
    "                '销售员': '',\n",
    "                '施工员': '',\n",
    "                '工时费': bill_info['工时费'],\n",
    "                '总费用': bill_info['总费用']\n",
    "            }\n",
    "            all_bill_details.append(detail_row)\n",
    "            \n",
    "    except Exception as e:\n",
    "        print(f\"处理单据 {row.get('Id', '')} 时出错: {e}\")\n",
    "        continue\n",
    "\n",
    "# 保存到Excel\n",
    "if all_bill_details:\n",
    "    df_details = pd.DataFrame(all_bill_details)\n",
    "    df_details.to_excel(\"快维单据详情.xlsx\", index=False)\n",
    "    print(f\"成功处理 {len(all_bill_details)} 条记录，已保存到 快维单据详情.xlsx\")\n",
    "    print(f\"\\n数据预览:\")\n",
    "    print(df_details.head())\n",
    "else:\n",
    "    print(\"没有提取到任何数据\")\n"
   ]
  }
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