{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "579527eb-e2aa-4af6-9668-646e0a997d79",
   "metadata": {},
   "source": [
    "## 体测人员导入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "272aca0e-b70c-46fe-ae58-ad8aaa5b9fa5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-22T13:27:05.690761Z",
     "iopub.status.busy": "2026-01-22T13:27:05.690222Z",
     "iopub.status.idle": "2026-01-22T13:27:05.710714Z",
     "shell.execute_reply": "2026-01-22T13:27:05.710237Z",
     "shell.execute_reply.started": "2026-01-22T13:27:05.690707Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "48 ok\n"
     ]
    }
   ],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "\n",
    "\n",
    "wb = openpyxl.load_workbook('data/中心健康检测人员.xlsx',data_only=True)\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, 3).value\n",
    "    \n",
    "    dict1['unit'] = sheet.cell(n, 4).value\n",
    "    dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0] \n",
    "    person[code] = dict1\n",
    "filename = 'data/中心健康检测人员.json'\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(person, fl, ensure_ascii=False)\n",
    "print(len(person),'ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c452983-0914-4508-86d6-2d9d5f966a8c",
   "metadata": {},
   "source": [
    "## 生成读卡系统文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fde0146f-02e7-4519-9029-5819b2cc1a20",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-21T08:58:28.607660Z",
     "iopub.status.busy": "2026-01-21T08:58:28.607052Z",
     "iopub.status.idle": "2026-01-21T08:58:28.617819Z",
     "shell.execute_reply": "2026-01-21T08:58:28.616724Z",
     "shell.execute_reply.started": "2026-01-21T08:58:28.607601Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ok\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "\n",
    "filename = 'data/中心健康检测人员.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':v['unit']}\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_中心健康检测人员.json\", \"w\",encoding = 'utf-8') as file:\n",
    "    file.write(json_data)   \n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28875e1d-1c0f-443a-a780-4cbea10a5133",
   "metadata": {},
   "source": [
    "## 获取人员测试成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "32ef3c92-8644-4421-a9dd-8ae901cb2710",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-22T13:30:00.421898Z",
     "iopub.status.busy": "2026-01-22T13:30:00.420630Z",
     "iopub.status.idle": "2026-01-22T13:30:00.440823Z",
     "shell.execute_reply": "2026-01-22T13:30:00.439903Z",
     "shell.execute_reply.started": "2026-01-22T13:30:00.421820Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "29\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import datetime\n",
    "import csv\n",
    "from datetime import date\n",
    "\n",
    "\n",
    "re_ta = {}\n",
    "list1 = []\n",
    "filename = 'data/中心健康检测人员.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "\n",
    "filename = 'data/marks_20260122.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",
    "        #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
    "        list1.append(line)\n",
    "\n",
    "for result in list1:\n",
    "    user = str(result[2])\n",
    "    rq = date.fromisoformat(result[5].replace('/','-'))\n",
    "    if user in dict1.keys():\n",
    "        #print(user)\n",
    "        l_xm = []\n",
    "        m_item = str(result[3])    \n",
    "        re_ta.setdefault(user,{})    \n",
    "        re_ta[user]['name'] = dict1[user]['name']\n",
    "        re_ta[user]['sex'] = dict1[user]['sex']\n",
    "        re_ta[user]['birth'] = dict1[user]['birth']\n",
    "        re_ta[user]['unit'] = dict1[user]['unit']\n",
    "        if 'phone' in dict1[user].keys():\n",
    "            re_ta[user]['phone'] = dict1[user]['phone']\n",
    "        if dict1[user]['sex'] == '男':\n",
    "            l_xm = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
    "        else:\n",
    "            l_xm = ['bmi','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
    "        #re_ta[user]['unit'] = dict1[user]['unit']\n",
    "        birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
    "        item_name = result[3]     \n",
    "        if item_name in l_xm:            \n",
    "            days = (rq-birth).days        \n",
    "            re_ta[user]['age'] = int(days/365)\n",
    "            re_ta[user]['month'] = int(days/365*12)\n",
    "            re_ta[user]['rq'] = result[5]\n",
    "            re_ta[user].setdefault(item_name,{})  \n",
    "            score = result[4] \n",
    "            re_ta[user][item_name]['成绩'] = score\n",
    "\n",
    "filename = 'data/result_中心健康检测人员.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": "a882cae1-9df1-4267-ba07-82097f67ab05",
   "metadata": {},
   "source": [
    "## 生成测试得分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "728c6978-bc53-44e4-b986-a13d5e2cd889",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-22T13:30:37.706987Z",
     "iopub.status.busy": "2026-01-22T13:30:37.706464Z",
     "iopub.status.idle": "2026-01-22T13:30:37.725209Z",
     "shell.execute_reply": "2026-01-22T13:30:37.724253Z",
     "shell.execute_reply.started": "2026-01-22T13:30:37.706936Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ok! 29\n"
     ]
    }
   ],
   "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_中心健康检测人员.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 = 'data/result_中心健康检测人员.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict2,fl , ensure_ascii=False) \n",
    "print('ok!',len(dict2))        "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64c5731f-ecb2-4524-8be0-0711926fe256",
   "metadata": {},
   "source": [
    "## 导入问卷信息"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8dcfb696-7031-4647-b142-cf83c30d3a90",
   "metadata": {},
   "source": [
    "### 按照姓名导入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5c90241e-b445-431a-8b59-66a40da2d1e6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-22T13:52:46.021181Z",
     "iopub.status.busy": "2026-01-22T13:52:46.020643Z",
     "iopub.status.idle": "2026-01-22T13:52:46.038655Z",
     "shell.execute_reply": "2026-01-22T13:52:46.037963Z",
     "shell.execute_reply.started": "2026-01-22T13:52:46.021130Z"
    }
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import csv\n",
    "import openpyxl\n",
    "import time\n",
    "from datetime import date\n",
    "\n",
    "dict1 = {}\n",
    "\n",
    "filename = 'data/result_中心健康检测人员.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "\n",
    "list1 = []\n",
    "filename = 'data/sql_20260122.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",
    "\n",
    "    \n",
    "    \n",
    "for item in list1:\n",
    "    content = json.loads(json.loads(item[1]))\n",
    "    name = content['name']\n",
    "    for k, v in dict1.items():\n",
    "        if v['name'] == name:\n",
    "            tcm = []            \n",
    "            for i in range(0,60):\n",
    "                tcm.append(0)\n",
    "            rq = date.fromisoformat(item[2].replace('/','-').split(' ')[0])\n",
    "                #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
    "            \n",
    "            for k1, v1 in content.items():                \n",
    "                if 'tcm' in k1:                    \n",
    "                    i = int(k1[3:])\n",
    "                    tcm[i-1] = int(v1)\n",
    "            #print(tcm)    \n",
    "            if 'tcm' in item[1]:                \n",
    "                dict1[k]['tcm'] = tcm            \n",
    "            \n",
    "            #dict1[k]['rq'] = rq\n",
    "filename = 'data/result_中心健康检测人员.json'\n",
    "\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict1, fl, ensure_ascii=False)              "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6606f92-76c1-434d-be3c-284ceb900f3f",
   "metadata": {},
   "source": [
    "## 生成报告"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d451cce5-e3a3-4909-bd13-807ddf82059a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-22T13:55:59.725677Z",
     "iopub.status.busy": "2026-01-22T13:55:59.725108Z",
     "iopub.status.idle": "2026-01-22T13:56:14.228014Z",
     "shell.execute_reply": "2026-01-22T13:56:14.226903Z",
     "shell.execute_reply.started": "2026-01-22T13:55:59.725621Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "29\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_中心健康检测人员.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "list1 = []\n",
    "file_path ='./中心健康检测/'\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'] = '中心健康体质检测'\n",
    "    mydata['subtitle'] = v['unit']\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','psy_yangmiao_old','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",
    "    if len(mydata['fits']) >2 or 'surveys' in mydata.keys():\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": "7dd43a2d-f467-44f1-89d8-b76461925297",
   "metadata": {},
   "source": [
    "## 生成体质检测明细表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d991b368-46bc-47cc-81d1-591d636364d9",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "codemirror_mode": {
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   "file_extension": ".py",
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