{
 "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/农工党延庆支部人员名单.xlsx')\n",
    "sheet = wb.active\n",
    "# sheets = wb.sheetnames\n",
    "person = {}\n",
    "\n",
    "for n in range(2, sheet.max_row+1):\n",
    "    code = str(sheet.cell(n, 4).value)\n",
    "    person.setdefault(code, {})\n",
    "    dict1 = {}\n",
    "    dict1['name'] = sheet.cell(n, 1).value\n",
    "    dict1['unit'] = '农工党延庆支部'\n",
    "    dict1['sex'] = sheet.cell(n, 2).value\n",
    "    nianyue = str(sheet.cell(n,3).value).replace('.','-')+'-01'\n",
    "    dict1['birth'] = nianyue\n",
    "    person[code] = dict1\n",
    "filename = 'data/农工党延庆支部.json'\n",
    "print(len(person))\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(person, fl, ensure_ascii=False)\n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "780a00d8-ada3-4c52-bd3a-301cdaec8463",
   "metadata": {},
   "source": [
    "## 导入问卷信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "dc0a78bb-ce82-4f6d-ba53-8bd9655f39af",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-12T04:25:43.981437Z",
     "iopub.status.busy": "2023-12-12T04:25:43.980663Z",
     "iopub.status.idle": "2023-12-12T04:25:44.029168Z",
     "shell.execute_reply": "2023-12-12T04:25:44.026384Z",
     "shell.execute_reply.started": "2023-12-12T04:25:43.981364Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "32\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import csv\n",
    "import openpyxl\n",
    "from datetime import date\n",
    "\n",
    "\n",
    "filename = 'data/农工党延庆支部.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "\n",
    "list1 = []\n",
    "filename = 'data/Survey_20231211.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",
    "dict2 = {}\n",
    "m_rq = '2023-12-11'\n",
    "rq= date.fromisoformat(m_rq.replace('/','-'))\n",
    "for item in list1:\n",
    "    if item[2] in dict1.keys(): \n",
    "        dict2[str(item[2])] = dict1[str(item[2])]\n",
    "        rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])        \n",
    "        tcm = []\n",
    "        for i in range(0,60):\n",
    "            tcm.append(0)\n",
    "        content = json.loads(item[5])       \n",
    "        for k, v in content.items():            \n",
    "            i = int(k[1:])\n",
    "            tcm[i-1] = int(v)\n",
    "        dict2[str(item[2])]['tcm'] = tcm\n",
    "        birth = date.fromisoformat(dict1[str(item[2])]['birth'].replace('/','-'))\n",
    "\n",
    "        days =  (rq-birth).days          \n",
    "        dict2[str(item[2])]['age'] = int(days/365)\n",
    "        dict2[str(item[2])]['month'] = int(days/365*12)\n",
    "print(len(dict2))\n",
    "filename = 'data/result_农工党延庆支部问卷.json'\n",
    "\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict2, fl, ensure_ascii=False)   "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c72d14d-0f75-41d5-a334-fc16f4a2d275",
   "metadata": {},
   "source": [
    "## 统计未参加问卷人员信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "5b646b5d-c4f6-4d37-9510-30fcbef44855",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-12T04:25:52.599199Z",
     "iopub.status.busy": "2023-12-12T04:25:52.598384Z",
     "iopub.status.idle": "2023-12-12T04:25:52.621363Z",
     "shell.execute_reply": "2023-12-12T04:25:52.618548Z",
     "shell.execute_reply.started": "2023-12-12T04:25:52.599125Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13910270600 袁正东\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import csv\n",
    "import openpyxl\n",
    "\n",
    "filename = 'data/农工党延庆支部.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "\n",
    "\n",
    "list1 = []\n",
    "filename = 'data/Survey_20231211.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",
    "#print(list1)\n",
    "phone1 = set()\n",
    "for result in list1:\n",
    "    phone1.add(result[2])\n",
    "\n",
    "for k, v in dict1.items():\n",
    "    if k not in phone1:\n",
    "        print(k,v['name'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0bc15d3a-e0a4-4089-9891-be3da20660cc",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import csv\n",
    "import openpyxl\n",
    "\n",
    "filename = 'data/农工党延庆支部.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "\n",
    "\n",
    "filename = 'data/Survey_20231121.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",
    "for item in list1:\n",
    "    if item[2] not in dict1.keys():\n",
    "        print(item[2])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93dfaaf1-95a5-467d-b7d8-e0f0e4a6e0dd",
   "metadata": {},
   "source": [
    "## 生成报告"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ab9b8e0c-53dd-4b93-a42a-7d1952b0423a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-12T04:36:12.507368Z",
     "iopub.status.busy": "2023-12-12T04:36:12.507004Z",
     "iopub.status.idle": "2023-12-12T04:36:18.957893Z",
     "shell.execute_reply": "2023-12-12T04:36:18.955648Z",
     "shell.execute_reply.started": "2023-12-12T04:36:12.507335Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15010721720 吕毅夫 {\"errmsg\":\"ok\"}\n",
      "13911532480 王若云 {\"errmsg\":\"ok\"}\n",
      "15810430182 赵凤龙 {\"errmsg\":\"ok\"}\n",
      "17778112523 蔡丽娟 {\"errmsg\":\"ok\"}\n",
      "15910393682 吴晨晨 {\"errmsg\":\"ok\"}\n",
      "13241607620 韦树鹏 {\"errmsg\":\"ok\"}\n",
      "15201130595 刘均平 {\"errmsg\":\"ok\"}\n",
      "18500858558 张超 {\"errmsg\":\"ok\"}\n",
      "13911692169 郑文凯 {\"errmsg\":\"ok\"}\n",
      "15910799757 王贝 {\"errmsg\":\"ok\"}\n",
      "13911816920 王欣 {\"errmsg\":\"ok\"}\n",
      "13621168106 赵颖 {\"errmsg\":\"ok\"}\n",
      "13683643617 周娟 {\"errmsg\":\"ok\"}\n",
      "15010369810 黄俊平 {\"errmsg\":\"ok\"}\n",
      "13810927023 高丽 {\"errmsg\":\"ok\"}\n",
      "15210546702 杨海燕 {\"errmsg\":\"ok\"}\n",
      "15010601650 于永华 {\"errmsg\":\"ok\"}\n",
      "15910799750 韩骐 {\"errmsg\":\"ok\"}\n",
      "13784086161 霍莉媛 {\"errmsg\":\"ok\"}\n",
      "15810404851 王建斌 {\"errmsg\":\"ok\"}\n",
      "15810830119 奚晓亮 {\"errmsg\":\"ok\"}\n",
      "13651123781 马海涛 {\"errmsg\":\"ok\"}\n",
      "17310308917 刘凡 {\"errmsg\":\"ok\"}\n",
      "13651357627 高桂所 {\"errmsg\":\"ok\"}\n",
      "13718793001 乔金梅 {\"errmsg\":\"ok\"}\n",
      "15501167098 马宇 {\"errmsg\":\"ok\"}\n",
      "13601312169 白华 {\"errmsg\":\"ok\"}\n",
      "13901363461 陈学军 {\"errmsg\":\"ok\"}\n",
      "13501017663 李志玖 {\"errmsg\":\"ok\"}\n",
      "13911795921 祁向东 {\"errmsg\":\"ok\"}\n",
      "18600419150 鲁兴隆 {\"errmsg\":\"ok\"}\n",
      "13501017366 程大庆 {\"errmsg\":\"ok\"}\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "import json\n",
    "\n",
    "\n",
    "\n",
    "headers = {\n",
    "    \"Content-Type\": \"application/json; charset=UTF-8\"\n",
    "    }\n",
    "filename = 'data/result_农工党延庆支部问卷.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "list1 = []\n",
    "fiie_path ='./农工党延庆支部/'\n",
    "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
    "i = 27\n",
    "list2 = []\n",
    "for k,v in dict1.items():    \n",
    "    list1 = []\n",
    "    mydata = {}    \n",
    "    id = k.rjust(3,\"0\")\n",
    "    mydata['path'] = fiie_path+ v['name']+'.pdf'\n",
    "    mydata['title'] = '农工党延庆支部'\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",
    "    mydata['month'] = v['month']\n",
    "    \n",
    "    if 'tcm' in v.keys():\n",
    "        mydata.setdefault('surveys',{})\n",
    "        mydata['surveys']['tcm'] = v['tcm']\n",
    "        \n",
    "    \n",
    "    #print(mydata)        \n",
    "           \n",
    "    list1.append(mydata)\n",
    "    #list2.append([k,dict1[k]['name']])\n",
    "\n",
    "    x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n",
    "    print(id,dict1[k]['name'],x.text)\n",
    "    x.close()\n",
    "    #print(mydata)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd349cad-ac40-4f35-8eb3-3642a9a82899",
   "metadata": {},
   "source": [
    "## 数据分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "187d68b0-f404-489f-8c42-1ae98139ac5c",
   "metadata": {},
   "source": [
    "### 清理报告数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8da85b6e-6a8e-4552-ac9b-475986520edb",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "filename = 'data/result_政法委new.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "    \n",
    "#items = ['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",
    "items = {}\n",
    "items['lung'] = '肺活量'\n",
    "items['grip'] ='握力'\n",
    "items['flexion'] ='坐位体前屈'\n",
    "items['jump'] ='纵跳'\n",
    "items['pushup'] ='俯卧撑'\n",
    "items['balance'] ='单脚站立'\n",
    "items['reaction'] ='选择反应时'\n",
    "items['step'] ='台阶指数'\n",
    "items['situp'] ='一分钟仰卧起坐'\n",
    "items['bmi'] ='BMI'\n",
    "\n",
    "\n",
    "list1 = []\n",
    "\n",
    "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
    "i=1\n",
    "list2 = []\n",
    "dict2 = {}\n",
    "for  k, v in dict1.items():\n",
    "    list1 = []\n",
    "    mydata = {}\n",
    "    \n",
    "    id = str(k).rjust(3,\"0\")\n",
    "    mydata['unit'] = v['unit']\n",
    "    mydata['name'] = v['name']\n",
    "    mydata['sex'] = v['sex']\n",
    "    mydata['month'] = v['month']\n",
    "    age = int(v['month']/12)\n",
    "    if age <20:\n",
    "        mydata['age'] = 20\n",
    "    else:\n",
    "        mydata['age'] = int(v['month']/12)\n",
    "    \n",
    "    mydata['fits'] = {}\n",
    "    score = 0\n",
    "    for item in list_item:\n",
    "        if item in v.keys():\n",
    "            if item in ['lung','pushup','step','situp']:\n",
    "                mark = v[item]['成绩'].split()[0].split('.')[0]\n",
    "                n+=1\n",
    "            else:\n",
    "                mark = v[item]['成绩'].split()[0]\n",
    "            mydata['fits'][items[item]] = {'mark':mark,'score':v[item]['score']}\n",
    "            score = score + v[item]['score']\n",
    "    \n",
    "    #mydata['score'] = round(score/len(mydata['fits']),2)\n",
    "    if len(mydata['fits']) >2:\n",
    "        mydata['score'] = round(score/len(mydata['fits']),2)\n",
    "        dict2[str(k)] = mydata\n",
    "filename = f'data/data_政法委.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict2,fl , ensure_ascii=False) \n",
    "print('ok!')        "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6539755-2418-452c-a8c2-73330e7a074c",
   "metadata": {},
   "source": [
    "### 计算测试等级"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e37fb523-af73-42b7-8b74-c91cbfa0e0d7",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "items = ['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/data_政法委.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "dict2 = {}\n",
    "dict2['不合格'] = [0,255]\n",
    "dict2['合格'] = [256,332]\n",
    "dict2['良好'] = [333,367]\n",
    "dict2['优秀'] = [368,500]\n",
    "\n",
    "for k1, v1 in dict2.items():\n",
    "    di = v1[0]\n",
    "    gao = v1[1]\n",
    "    i = 0    \n",
    "    m = 0\n",
    "    f = 0\n",
    "    for k,v in dict1.items():\n",
    "        if int(v['score']*100) in range(di,gao+1):\n",
    "            dict1[k]['level'] = k1\n",
    "            i+=1\n",
    "            if v['sex'] == '男':\n",
    "                m = m +1\n",
    "            else:\n",
    "                f = f+1\n",
    "    print(f'{di}~{gao}分人数：{i}人,男性：{m}人,女性:{f}人')\n",
    "print(len(dict1))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c1632a4-3bd5-4f63-9593-7675272725ad",
   "metadata": {},
   "source": [
    "### 根据年龄汇总人员信息及成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c12bc25a-17d6-4dcf-b739-cfa9bbe4410f",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,69]]\n",
    "\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "for item in nld:\n",
    "    di = item[0]\n",
    "    gao = item[1]\n",
    "    i = 0\n",
    "    score = 0\n",
    "    m = 0\n",
    "    f = 0\n",
    "    for k,v in dict1.items():\n",
    "        if v['age'] in range(di,gao+1):\n",
    "            score = score+v['score']\n",
    "            i+=1\n",
    "            if v['sex'] == '男':\n",
    "                m = m +1\n",
    "    if i ==0:\n",
    "        print(f'{di}~{gao}岁平均成绩：0分，人数：0人,男性：{m}人')\n",
    "    else:\n",
    "        print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人,男性：{m}人')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c7b8dd3-ca80-45dc-92ae-6832e3c2dbcb",
   "metadata": {},
   "source": [
    "### 根据年龄汇总人员信息及成绩（男）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eec3966b-91ec-4527-86a6-2e5ced6ba002",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
    "\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "for item in nld:\n",
    "    di = item[0]\n",
    "    gao = item[1]\n",
    "    i = 0\n",
    "    score = 0\n",
    "    m = 0\n",
    "    f = 0\n",
    "    for k,v in dict1.items():\n",
    "        if v['age'] in range(di,gao+1) and v['sex'] == '男':\n",
    "            score = score+v['score']\n",
    "            i+=1\n",
    "    if i ==0:\n",
    "        print(f'{di}~{gao}岁平均成绩：0分，人数：{i}人') \n",
    "    else:\n",
    "        print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1277bad3-b04c-4d66-865f-fa6dc3b2bf61",
   "metadata": {},
   "source": [
    "### 根据年龄汇总人员信息及成绩（女）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "40658342-1628-42a5-89ad-85fe592e74bb",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
    "\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "for item in nld:\n",
    "    di = item[0]\n",
    "    gao = item[1]\n",
    "    i = 0\n",
    "    score = 0\n",
    "    m = 0\n",
    "    f = 0\n",
    "    for k,v in dict1.items():\n",
    "        if v['age'] in range(di,gao+1) and v['sex'] == '女':\n",
    "            score = score+v['score']\n",
    "            i+=1\n",
    "    if i ==0:\n",
    "        print(f'{di}~{gao}岁平均成绩：0分，人数：{i}人') \n",
    "    else:\n",
    "        print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a59a8699-1a62-43ca-a11d-cdc03009b9e1",
   "metadata": {},
   "source": [
    "### 计算平均成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "899da5d8-708e-4bb8-a1ce-b82a40cf2e94",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
    "\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "i = 1\n",
    "m = 0\n",
    "f = 0\n",
    "score = 0\n",
    "t_score = 0\n",
    "for k,v in dict1.items():\n",
    "    if v['sex'] == '男':\n",
    "        m = m +1\n",
    "        score = score+v['score']\n",
    "print(f'平均成绩：{round(score/m,4)}分，男性：{m}人')\n",
    "t_score = t_score + score\n",
    "score = 0\n",
    "for k,v in dict1.items():\n",
    "    if v['sex'] == '女':\n",
    "        f = f +1\n",
    "        score = score+v['score']\n",
    "print(f'平均成绩：{round(score/f,4)}分，女性：{f}人')\n",
    "t_score = t_score + score\n",
    "print(f'平均成绩：{round(t_score/25,4)}分，总体：25人')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "314ca97d-ad3e-4fe0-a6a5-45b8de94f71e",
   "metadata": {},
   "source": [
    "### 计算测试等级"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dfb1b1f1-79fd-47af-9fdb-3671de26a17d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "dict2 = {}\n",
    "dict2['不合格'] = [0,255]\n",
    "dict2['合格'] = [256,332]\n",
    "dict2['良好'] = [333,367]\n",
    "dict2['优秀'] = [368,500]\n",
    "\n",
    "for k1, v1 in dict2.items():\n",
    "    di = v1[0]\n",
    "    gao = v1[1]\n",
    "    i = 0    \n",
    "    m = 0\n",
    "    f = 0\n",
    "    for k,v in dict1.items():\n",
    "        if int(v['score']*100) in range(di,gao+1):\n",
    "            dict1[k]['level'] = k1\n",
    "            i+=1\n",
    "            if v['sex'] == '男':\n",
    "                m = m +1\n",
    "            else:\n",
    "                f = f+1\n",
    "    print(f'{di}~{gao}分人数：{i}人,男性：{m}人,女性:{f}人')\n",
    "#filename = 'data/result_石家庄.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict1, fl) \n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe71a0f0-5494-4462-a123-d0edbbaaf3ab",
   "metadata": {},
   "source": [
    "### 计算各年龄段测试等级(女）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5af094da-db54-4ab7-bbce-7329cb2fc1b1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
    "\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "dict2 = {}\n",
    "dict2['不合格'] = [0,255]\n",
    "dict2['合格'] = [256,332]\n",
    "dict2['良好'] = [333,367]\n",
    "dict2['优秀'] = [368,500]\n",
    "dict3 = {}\n",
    "for item in nld:\n",
    "    di = item[0]\n",
    "    gao = item[1]\n",
    "    age = f'{di}-{gao}'\n",
    "    dict3.setdefault(age,{})\n",
    "    i = 0    \n",
    "    m = 0\n",
    "    f = 0\n",
    "    for k,v in dict1.items():\n",
    "        if v['age'] in range(di,gao+1):            \n",
    "            dict3[age].setdefault(v['level'],0)\n",
    "            if v['sex'] == '女':\n",
    "                dict3[age][v['level']] = dict3[age][v['level']]+1\n",
    "            \n",
    "for k, v in dict3.items():\n",
    "    print(k,v)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee7396bd-6548-4aaf-8b6d-53a4fa5f2f56",
   "metadata": {},
   "source": [
    "### 计算各年龄段测试等级(男）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "38c51c24-3f9e-4147-9743-19d4f07bc2ff",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
    "\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "dict2 = {}\n",
    "dict2['不合格'] = [0,255]\n",
    "dict2['合格'] = [256,332]\n",
    "dict2['良好'] = [333,367]\n",
    "dict2['优秀'] = [368,500]\n",
    "dict3 = {}\n",
    "for item in nld:\n",
    "    di = item[0]\n",
    "    gao = item[1]\n",
    "    age = f'{di}-{gao}'\n",
    "    dict3.setdefault(age,{})\n",
    "    i = 0    \n",
    "    m = 0\n",
    "    f = 0\n",
    "    for k,v in dict1.items():\n",
    "        if v['age'] in range(di,gao+1):            \n",
    "            dict3[age].setdefault(v['level'],0)\n",
    "            if v['sex'] == '男':\n",
    "                dict3[age][v['level']] = dict3[age][v['level']]+1\n",
    "            \n",
    "for k, v in dict3.items():\n",
    "    print(k,v)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0921bc7f-984e-4aaf-8c3b-8bf9f086c804",
   "metadata": {},
   "source": [
    "### 计算各项目成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "229640d7-824b-4cb2-bdec-7d884677a856",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "items = ['BMI','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",
    "for item in items:\n",
    "    score = 0\n",
    "    n = 0\n",
    "    for k, v in dict1.items():        \n",
    "        if item in v['fits'].keys():\n",
    "            n = n + 1\n",
    "            score =score + int(v['fits'][item]['score'])\n",
    "    print(item,round(score/n,2),n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef75cdd8-d83e-48ab-9867-11102714202a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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