{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "04524c85-988e-4dbf-86eb-939a9db7aa28",
   "metadata": {},
   "source": [
    "## 体测人员导入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bbba6efc-73cd-4db6-bae7-014724fee731",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "\n",
    "\n",
    "wb = openpyxl.load_workbook('data/党建出版社2025.xlsx')\n",
    "sheet = wb.active\n",
    "# sheets = wb.sheetnames\n",
    "person = {}\n",
    "\n",
    "for n in range(2, sheet.max_row+1):\n",
    "    code = int(sheet.cell(n, 1).value)\n",
    "    person.setdefault(code, {})\n",
    "    dict1 = {}\n",
    "    dict1['name'] = sheet.cell(n, 2).value\n",
    "    dict1['sex'] = sheet.cell(n, 4).value\n",
    "    dict1['unit'] = '党建出版社'\n",
    "    dict1['birth'] = sheet.cell(n,3).value\n",
    "    dict1['phone'] = sheet.cell(n,5).value\n",
    "    person[code] = dict1\n",
    "filename = 'data/党建出版社2025.json'\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(person, fl, ensure_ascii=False)\n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9448933d-527c-410d-ba55-4ce1819a8c1e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "\n",
    "\n",
    "wb = openpyxl.load_workbook('data/通用卡.xlsx')\n",
    "sheet = wb.active\n",
    "# sheets = wb.sheetnames\n",
    "person = {}\n",
    "\n",
    "for n in range(2, sheet.max_row+1):\n",
    "    code = int(sheet.cell(n, 1).value)\n",
    "    person.setdefault(code, {})\n",
    "    dict1 = {}\n",
    "    dict1['name'] = sheet.cell(n, 2).value\n",
    "    dict1['sex'] = sheet.cell(n, 4).value\n",
    "    dict1['birth'] = sheet.cell(n,3).value\n",
    "    person[code] = dict1\n",
    "filename = 'data/通用卡.json'\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(person, fl, ensure_ascii=False)\n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "048a95aa-1691-45f6-b933-6eaf95ae1d30",
   "metadata": {},
   "source": [
    "## 生成读卡系统文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ce406710-6b7d-4c51-98ec-78883bd3ce5f",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "filename = 'data/通用卡.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "list1 = []\n",
    "for k, v in dict1.items():\n",
    "    dict2 = {}\n",
    "    #if dict1['sex'] =='男':\n",
    "    #    sex = 1\n",
    "    \n",
    "    dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':'编号卡'}\n",
    "    list1.append(dict2)\n",
    "json_data = json.dumps(list1,ensure_ascii=False, indent=4)  \n",
    "\n",
    "# 将 json 数据写入文件\n",
    "with open(\"data/data_编号卡.json\", \"w\",encoding = 'utf-8') as file:\n",
    "    file.write(json_data)   \n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bcd45c2-10af-4d5f-9e0b-5cd1df4f7a7f",
   "metadata": {},
   "source": [
    "## 获取人员测试成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "970e171e-1360-448f-a28c-520ccb8f314a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import datetime\n",
    "import csv\n",
    "from datetime import date\n",
    "import my_module as My\n",
    "\n",
    "filename = 'data/党建出版社2025.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "filename = 'data/marks_20250530.csv'\n",
    "re_ta = My.get_result(filename,dict1)\n",
    "\n",
    "filename = 'data/result_党建出版社2025.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(re_ta, fl, ensure_ascii=False) \n",
    "print(len(re_ta))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "699c6a40-a6ae-4300-9646-708cb85aa5e8",
   "metadata": {},
   "source": [
    "## 生成测试得分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "def3f47a-24ef-4815-b63b-2a16b79b4c15",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import time\n",
    "import my_module as My\n",
    "\n",
    "#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n",
    "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
    "filename = 'data/result_党建出版社2025.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict2 = json.load(fl) \n",
    "for k, v in dict2.items():\n",
    "    #print(k)\n",
    "    if v['sex'] == '男':\n",
    "        sex = 'M'\n",
    "    else:\n",
    "        sex = 'F'            \n",
    "    if 'bmi' in v.keys():\n",
    "        #bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n",
    "        bmi_data = v['bmi']['成绩']\n",
    "        data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n",
    "        dict2[k]['bmi'] = {}\n",
    "        dict2[k]['bmi']['成绩'] = bmi_data\n",
    "        dict2[k]['bmi']['score'] = My.cal_bmi(data1)\n",
    "    for item_en in list_item:\n",
    "        if item_en in v.keys():            \n",
    "            data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n",
    "            #print(k,v['name'])\n",
    "            dict2[k][item_en]['score'] = My.cal_score(data1)\n",
    "            #print(k,v[item_en]['成绩'],cal_score(data1))\n",
    "\n",
    "filename = f'data/result_党建出版社2025.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict2,fl , ensure_ascii=False) \n",
    "print('ok!')        "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d034a61d-1fbd-417b-99bd-277e43ebb678",
   "metadata": {},
   "source": [
    "## 导出测试人员信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67e63f07-3f20-4e0e-9c07-7bf6024eeb4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import openpyxl\n",
    "\n",
    "items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
    "title = ['编号','姓名','性别','单位','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
    "\n",
    "filename = 'data/result_党建出版社2025.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "filename = 'data/党建出版社2025.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict2 = json.load(fl)\n",
    "    \n",
    "list1 = []\n",
    "for k, v in dict1.items():\n",
    "    list2 = []\n",
    "    list2.append(str(k).rjust(5,'0'))\n",
    "    list2.append(v['name'])    \n",
    "    list2.append(dict2[k]['sex'])\n",
    "    list2.append(dict2[k]['unit'])\n",
    "    if 'bmi' in v.keys():\n",
    "        height = v['bmi']['成绩'].split(',')[0]\n",
    "        weight = v['bmi']['成绩'].split(',')[1]\n",
    "        list2.append(height)\n",
    "        list2.append(weight)\n",
    "    else:\n",
    "        list2.append('')\n",
    "        list2.append('')\n",
    "    for item in items:\n",
    "        if item in v.keys():\n",
    "            list2.append(v[item]['成绩']) \n",
    "        elif item =='name':\n",
    "            list2.append(v[item])\n",
    "        else:\n",
    "            list2.append('')\n",
    "    \n",
    "    list1.append(list2)\n",
    "filename = 'data/党建出版社测试情况表2025.xlsx'\n",
    "wb = openpyxl.Workbook()\n",
    "sheet = wb.active\n",
    "sheet.append(title)\n",
    "for row in list1:\n",
    "    sheet.append(row)\n",
    "    \n",
    "wb.save(filename)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1c9377b-0da3-481a-9334-b85aa0487374",
   "metadata": {},
   "source": [
    "## 导入问卷信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e454f645-e593-4619-9fce-eabe0fa9f2a9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-05T06:49:32.523392Z",
     "iopub.status.busy": "2025-06-05T06:49:32.522703Z",
     "iopub.status.idle": "2025-06-05T06:49:32.550951Z",
     "shell.execute_reply": "2025-06-05T06:49:32.550460Z",
     "shell.execute_reply.started": "2025-06-05T06:49:32.523324Z"
    }
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import csv\n",
    "import openpyxl\n",
    "import time\n",
    "from datetime import date\n",
    "#import my_module as My\n",
    "\n",
    "dict1 = {}\n",
    "filename = 'data/result_党建出版社2025.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "filename = 'data/党建出版社2025.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict3 = json.load(fl)\n",
    "\n",
    "phone =  {}\n",
    "for k,v in dict3.items():\n",
    "    if 'phone' in v.keys():\n",
    "        phone[str(v['phone'])] = k\n",
    "\n",
    "list1 = []\n",
    "filename = 'data/survey_records_20250605.csv'\n",
    "with open(filename,'r',newline='') as csv_file:\n",
    "    fl = csv.reader(csv_file,delimiter=',')\n",
    "    header = next(fl)    \n",
    "    for line in fl:\n",
    "        list1.append(line)\n",
    "#print(list1)\n",
    "dict2 = {}\n",
    "psy =[]\n",
    "tcm = []\n",
    "spine = []\n",
    "for i in range(0,57):\n",
    "    psy.append(0)\n",
    "\n",
    "for i in range(0,60):\n",
    "    tcm.append(0)\n",
    "for i in range(0,26):\n",
    "    spine.append(0)\n",
    "i= 1\n",
    "for item in list1:\n",
    "    if item[3] in phone.keys():\n",
    "        psy =[]\n",
    "        tcm = []\n",
    "        spine = []\n",
    "        for i in range(0,57):\n",
    "            psy.append(0)\n",
    "        #psy[44] = []\n",
    "        for i in range(0,60):\n",
    "            tcm.append(0)\n",
    "        for i in range(0,26):\n",
    "            spine.append(0)\n",
    "       \n",
    "        content = json.loads(item[4])\n",
    "        if phone[item[3]] not in dict1.keys():\n",
    "            dict1[phone[item[3]]] = dict3[phone[item[3]]]\n",
    "            rq = date.fromisoformat(item[5].replace('/','-').split(' ')[0])\n",
    "            #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
    "        else:\n",
    "            rq = date.fromisoformat('2025-05-30')\n",
    "        for k, v in content.items():\n",
    "            if 'psy' in k:\n",
    "                i = int(k[3:])\n",
    "                psy[i-1] = int(v)\n",
    "            if 'tcm' in k:\n",
    "                i = int(k[3:])\n",
    "                tcm[i-1] = int(v)\n",
    "            if 'spine' in k:\n",
    "                i = int(k[5:])\n",
    "                spine[i-1] = int(v)\n",
    "        if 'psy' in item[4]:\n",
    "            #for i in range(5,26):\n",
    "            #    new_valve = 5-psy[i]\n",
    "            #    psy[i] = new_valve\n",
    "            \n",
    "            \n",
    "            dict1[phone[item[3]]]['psy57'] = psy\n",
    "        if 'tcm' in item[4]:\n",
    "            dict1[phone[item[3]]]['tcm'] = tcm\n",
    "        if 'spine' in item[4]:\n",
    "            dict1[phone[item[3]]]['spine'] = spine\n",
    "        birth = date.fromisoformat(dict3[phone[item[3]]]['birth'].replace('/','-'))\n",
    "        \n",
    "        days =  (rq-birth).days          \n",
    "        dict1[phone[item[3]]]['age'] = int(days/365)\n",
    "        dict1[phone[item[3]]]['month'] = int(days/365*12)\n",
    "        \n",
    "\n",
    "filename = 'data/result_党建出版社2025-1.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict1, fl, ensure_ascii=False)\n",
    "#print(data1[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41a8ef94-57a1-4697-b99b-cb546adb09e5",
   "metadata": {},
   "source": [
    "## 统计参加问卷人员"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "2ea13ff2-a675-41b2-b104-0f5cd1c9a0b5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-05T01:06:25.708014Z",
     "iopub.status.busy": "2025-06-05T01:06:25.707173Z",
     "iopub.status.idle": "2025-06-05T01:06:25.734176Z",
     "shell.execute_reply": "2025-06-05T01:06:25.733170Z",
     "shell.execute_reply.started": "2025-06-05T01:06:25.707934Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "85\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import csv\n",
    "import openpyxl\n",
    "import time\n",
    "from datetime import date\n",
    "\n",
    "\n",
    "filename = 'data/党建出版社2025.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "phone1 =  set()\n",
    "phone2 = set()\n",
    "for k,v in dict1.items():\n",
    "    phone1.add(v['phone'])\n",
    "list1 = []\n",
    "filename = 'data/survey_records_20250605.csv'\n",
    "with open(filename,'r',newline='') as csv_file:\n",
    "    fl = csv.reader(csv_file,delimiter=',')\n",
    "    header = next(fl)    \n",
    "    for line in fl:\n",
    "        list1.append(line)\n",
    "print(len(phone1))\n",
    "i =1\n",
    "list2 = []\n",
    "for item in list1:\n",
    "    code = int(item[3])\n",
    "    for k, v in dict1.items():\n",
    "        list3 = []\n",
    "        if v['phone'] == code:            \n",
    "            list3.append(k)\n",
    "            list3.append(v['name'])\n",
    "            list3.append(v['sex'])\n",
    "            list3.append(v['unit'])\n",
    "            list3.append(code)\n",
    "            list2.append(list3)\n",
    "filename = 'data/党建出版社问卷情况表2025.xlsx'\n",
    "wb = openpyxl.Workbook()\n",
    "sheet = wb.active\n",
    "#sheet.append(title)\n",
    "for row in list2:\n",
    "    sheet.append(row)\n",
    "    \n",
    "wb.save(filename)    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7c2ef41d-bba9-4776-9a0e-71e14cd7d3fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import csv\n",
    "import openpyxl\n",
    "import time\n",
    "from datetime import date\n",
    "\n",
    "\n",
    "filename = 'data/党建出版社2025.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "phone1 =  set()\n",
    "phone2 = set()\n",
    "for k,v in dict1.items():\n",
    "    phone1.add(v['phone'])\n",
    "list1 = []\n",
    "filename = 'data/survey_records_20250605.csv'\n",
    "with open(filename,'r',newline='') as csv_file:\n",
    "    fl = csv.reader(csv_file,delimiter=',')\n",
    "    header = next(fl)    \n",
    "    for line in fl:\n",
    "        list1.append(line)\n",
    "print(len(phone1))\n",
    "i =1\n",
    "list2 = []\n",
    "for item in list1:\n",
    "    code = int(item[3])\n",
    "    if code not in phone1:\n",
    "        print(code)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffb387e1-41b5-4a4d-a9ca-89e1c5650880",
   "metadata": {},
   "source": [
    "## 生成报告"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "462bc4e8-1659-43a0-9cbf-a87a4dfc5376",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-05T06:50:13.169871Z",
     "iopub.status.busy": "2025-06-05T06:50:13.168552Z",
     "iopub.status.idle": "2025-06-05T06:50:51.648786Z",
     "shell.execute_reply": "2025-06-05T06:50:51.647689Z",
     "shell.execute_reply.started": "2025-06-05T06:50:13.169789Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "65\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "import json\n",
    "import openpyxl\n",
    "\n",
    "\n",
    "headers = {\n",
    "    \"Content-Type\": \"application/json; charset=UTF-8\"\n",
    "    }\n",
    "filename = 'data/result_党建出版社2025-1.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "list1 = []\n",
    "file_path ='./党建出版社2025/'\n",
    "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
    "i=0\n",
    "list2 = []\n",
    "for  k, v in dict1.items():\n",
    "    list1 = []\n",
    "    mydata = {}\n",
    "    \n",
    "    id = str(k).rjust(4,\"0\")\n",
    "    mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
    "    mydata['title'] = '党建读物出版社'\n",
    "    mydata['subtitle'] = ' '\n",
    "    mydata['id'] = id\n",
    "    mydata['name'] = v['name']\n",
    "    if v['sex'] == '男':\n",
    "        mydata['gender'] = 'male'\n",
    "    else:\n",
    "        mydata['gender'] = 'female'\n",
    "    \n",
    "    mydata['month'] = v['month']\n",
    "    mydata['fits'] = {}\n",
    "    survey_list = ['tcm','psy57','spine']\n",
    "    for item in survey_list:\n",
    "        if item in  v.keys():\n",
    "            mydata.setdefault('surveys',{})\n",
    "            mydata['surveys'][item] = v[item]\n",
    "            \n",
    "    \n",
    "    #mydata['fits'] = {}\n",
    "    for item in list_item:\n",
    "        if item in v.keys():\n",
    "            mydata.setdefault('fits',{})\n",
    "            if item in ['lung','pushup','step','situp']:\n",
    "                mark = v[item]['成绩'].split()[0].split('.')[0]\n",
    "            else:\n",
    "                mark = v[item]['成绩'].split()[0]\n",
    "            mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
    "    if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n",
    "    #if len(mydata['fits']) >2 :    \n",
    "        list1.append(mydata)\n",
    "        list2.append([k,v['name']])\n",
    "        i+=1\n",
    "        x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n",
    "        #print(id,v['name'],x.text)\n",
    "        #print(mydata)\n",
    "        #x.close()\n",
    "print(i)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f28bb6dd-c8de-4761-a8a1-83b65a504a7d",
   "metadata": {},
   "source": [
    "## 计算中医体质"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "0f393c7d-26b2-4bb2-8f18-702f5ee52abf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-05T06:59:54.308502Z",
     "iopub.status.busy": "2025-06-05T06:59:54.307891Z",
     "iopub.status.idle": "2025-06-05T06:59:54.340029Z",
     "shell.execute_reply": "2025-06-05T06:59:54.339248Z",
     "shell.execute_reply.started": "2025-06-05T06:59:54.308441Z"
    }
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'tcm_calc' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[24], line 15\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m item \u001b[38;5;129;01min\u001b[39;00m tcm:\n\u001b[1;32m     14\u001b[0m     list1\u001b[38;5;241m.\u001b[39mappend(item)\n\u001b[0;32m---> 15\u001b[0m score \u001b[38;5;241m=\u001b[39m \u001b[43mtcm_calc\u001b[49m(list1)\n\u001b[1;32m     17\u001b[0m result \u001b[38;5;241m=\u001b[39m tcm_kind(score)\n\u001b[1;32m     18\u001b[0m kind \u001b[38;5;241m=\u001b[39m result[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mkind\u001b[39m\u001b[38;5;124m'\u001b[39m]\n",
      "\u001b[0;31mNameError\u001b[0m: name 'tcm_calc' is not defined"
     ]
    }
   ],
   "source": [
    "import openpyxl\n",
    "import my_module as My\n",
    "\n",
    "filename = 'data/result_党建出版社2025-1.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "i = 1\n",
    "list2 = []\n",
    "for k, v in dict1.items():\n",
    "    if 'tcm' in v.keys():\n",
    "        list1 = []\n",
    "        tcm =v['tcm']\n",
    "        for item in tcm:\n",
    "            list1.append(item)\n",
    "        score = tcm_calc(list1)\n",
    "\n",
    "        result = tcm_kind(score)\n",
    "        kind = result['kind']\n",
    "        near = result['near']\n",
    "        #print(i,k,kinds[kind], near, score)\n",
    "        #i+=1\n",
    "        list3 = []\n",
    "        list3.append(k)\n",
    "        list3.append(kinds[kind])\n",
    "        list3.append(near)\n",
    "        for item in score:\n",
    "            list3.append(item)\n",
    "        list2.append(list3)\n",
    "print(list2)\n",
    "filename = 'data/党建出版社中医情况明细表2025.xlsx'\n",
    "wb = openpyxl.Workbook()\n",
    "sheet = wb.active\n",
    "\n",
    "for row in list2:\n",
    "    sheet.append(row)\n",
    "    \n",
    "wb.save(filename)\n",
    "print('ok')       "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "02057c2d-f2e5-4c09-8c2d-508bedb95817",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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