{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "04524c85-988e-4dbf-86eb-939a9db7aa28",
   "metadata": {},
   "source": [
    "## 体测人员导入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bbba6efc-73cd-4db6-bae7-014724fee731",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T02:16:02.586698Z",
     "iopub.status.busy": "2024-09-18T02:16:02.585914Z",
     "iopub.status.idle": "2024-09-18T02:16:02.620560Z",
     "shell.execute_reply": "2024-09-18T02:16:02.620084Z",
     "shell.execute_reply.started": "2024-09-18T02:16:02.586621Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ok\n"
     ]
    }
   ],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "from datetime import date\n",
    "\n",
    "wb = openpyxl.load_workbook('data/北体体质康健.xlsx')\n",
    "sheet = wb.active\n",
    "# sheets = wb.sheetnames\n",
    "person = {}\n",
    "\n",
    "for n in range(1, 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",
    "    dict1['unit'] = '北体体质康健班'\n",
    "    dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0]\n",
    "    if sheet.cell(n,5).value is not None:\n",
    "        dict1['phone'] = str(sheet.cell(n,5).value) \n",
    "    person[code] = dict1\n",
    "filename = 'data/北体体质康健.json'\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(person, fl, ensure_ascii=False)\n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bcd45c2-10af-4d5f-9e0b-5cd1df4f7a7f",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 获取人员测试成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "970e171e-1360-448f-a28c-520ccb8f314a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T02:17:10.941442Z",
     "iopub.status.busy": "2024-09-18T02:17:10.940669Z",
     "iopub.status.idle": "2024-09-18T02:17:10.997800Z",
     "shell.execute_reply": "2024-09-18T02:17:10.997322Z",
     "shell.execute_reply.started": "2024-09-18T02:17:10.941368Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "87\n",
      "87\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import datetime\n",
    "import csv\n",
    "from datetime import date\n",
    "\n",
    "filename = '../item.json'\n",
    "item = {}\n",
    "unit = {}\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "for k,v in dict1.items():\n",
    "    item[k] = v\n",
    "item['1']['en'] = 'lung'\n",
    "item['2']['en'] = 'grip'\n",
    "item['3']['en'] = 'flexion'\n",
    "item['4']['en'] = 'jump'\n",
    "item['5']['en'] = 'pushup'\n",
    "item['6']['en'] = 'balance'\n",
    "item['7']['en'] = 'reaction'\n",
    "item['8']['en'] = 'step'\n",
    "item['9']['en'] = 'situp'\n",
    "item['10']['en'] = 'height'\n",
    "item['11']['en'] = 'weight'\n",
    "\n",
    "\n",
    "re_ta = {}\n",
    "dict1 = {}\n",
    "list1 = []\n",
    "filename = 'data/北体体质康健.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "\n",
    "filename = 'data/places_result_20240918.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",
    "#f_item = ['lung','grip','flexion','jump','balance','reaction','step','situp']\n",
    "#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
    "for result in list1:\n",
    "    user = str(result[2])\n",
    "    rq = date.fromisoformat(result[6].replace('/','-'))\n",
    "    if user in dict1.keys():\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",
    "        if 'phone' in dict1[user].keys():\n",
    "            re_ta[user]['phone'] = dict1[user]['phone']\n",
    "        if dict1[user]['sex'] == '男':\n",
    "            l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
    "        else:\n",
    "            l_xm = ['weight','height','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",
    "        birth = date.fromisoformat(dict1[user]['birth'])\n",
    "        #nian = int(birth[0].strip())\n",
    "        #yue = int(birth[1].strip())\n",
    "        #ri = int(birth[2].strip())\n",
    "        #print(k,nian,yue,ri)\n",
    "        item_name = item[m_item]['en']        \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[6]\n",
    "\n",
    "\n",
    "            re_ta[user].setdefault(item_name,{})  \n",
    "            score = int(result[4])/item[m_item]['divisor']    \n",
    "            re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
    "print(len(re_ta))\n",
    "filename = 'data/result_北体体质康健.json'\n",
    "\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": "d034a61d-1fbd-417b-99bd-277e43ebb678",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 导出测试人员信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0c60a509-dfc0-426a-a44e-e9a760139463",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import openpyxl\n",
    "\n",
    "items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
    "bmi = ['height','weight']\n",
    "title = ['编号','姓名','性别','身高','体重','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",
    "\n",
    "filename = 'data/727410_pdf.json'\n",
    "with open(filename,'r') as fl:\n",
    "    list2 = json.load(fl)\n",
    "\n",
    "list1 = []\n",
    "for xm in list2: \n",
    "    list2 = []\n",
    "    list2.append(xm['id'].rjust(3,'0'))\n",
    "    list2.append(xm['name'])    \n",
    "    list2.append(xm['gender'])    \n",
    "    \n",
    "    i = 0\n",
    "    if 'bmi' in xm['fits'].keys():\n",
    "        m_bmi = xm['fits']['bmi']['mark']\n",
    "        list2.append(m_bmi.split(',')[0])\n",
    "        list2.append(m_bmi.split(',')[1])\n",
    "        list2.append(xm['fits']['bmi']['score'])\n",
    "        i+=1\n",
    "    else:\n",
    "        list2.append('') \n",
    "        list2.append('') \n",
    "        list2.append('') \n",
    "\n",
    "\n",
    "    for item in items:\n",
    "        if item in xm['fits'].keys():\n",
    "            list2.append(xm['fits'][item]['mark'])\n",
    "            list2.append(xm['fits'][item]['score']) \n",
    "            i+=1\n",
    "        #elif item =='name':\n",
    "        #    list2.append(dict1[k][item])\n",
    "        else:\n",
    "            list2.append('') \n",
    "            list2.append('') \n",
    "    print(list2)\n",
    "    if i>2:\n",
    "        list1.append(list2)\n",
    "filename = 'data/东营老年大学体测情况表.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)\n",
    "print('ok')       "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d794e69d-9444-4765-9b7d-8dcb0f8c4343",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 导入问卷信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "79fb7799-3693-4b7b-ae82-c0d8dee98d36",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-14T11:49:21.331114Z",
     "iopub.status.busy": "2024-09-14T11:49:21.330310Z",
     "iopub.status.idle": "2024-09-14T11:49:21.362941Z",
     "shell.execute_reply": "2024-09-14T11:49:21.362399Z",
     "shell.execute_reply.started": "2024-09-14T11:49:21.331031Z"
    },
    "tags": []
   },
   "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_北体体质康健.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict3 = json.load(fl)\n",
    "\n",
    "\n",
    "list1 = []\n",
    "filename = 'data/Survey_20240914.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",
    "for item in list1:\n",
    "    psy = []\n",
    "    tcm = []\n",
    "    spine = []\n",
    "    for i in range(0,45):\n",
    "        psy.append(0)\n",
    "    for i in range(0,60):\n",
    "        tcm.append(0)\n",
    "    for i in range(0,26):\n",
    "        spine.append(0)\n",
    "    phone = item[2]\n",
    "    for k1, v1 in dict3.items():\n",
    "        if 'phone' in  v1.keys() and phone ==v1['phone']:  \n",
    "            dict1[k1] = dict3[k1]\n",
    "            #dict1[k1]['month'] = dict1[k1]['age'] *12\n",
    "#print(dict1)\n",
    "for item in list1:\n",
    "    #print(item)\n",
    "    psy = []\n",
    "    tcm = []\n",
    "    spine = []\n",
    "    for i in range(0,45):\n",
    "        psy.append(0)\n",
    "    for i in range(0,60):\n",
    "        tcm.append(0)\n",
    "    for i in range(0,26):\n",
    "        spine.append(0)\n",
    "    phone = item[2]\n",
    "    for k1, v1 in dict1.items():\n",
    "        #print((k1,v1))\n",
    "        if phone ==v1['phone']:   \n",
    "            content = json.loads(item[5])\n",
    "            #print(content)\n",
    "            \n",
    "            rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
    "                #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
    "            for k, v in content.items():\n",
    "                #print('k:',k,'v:',v)\n",
    "                if 'psyOld' in k:                    \n",
    "                    i = int(k[6:])\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 'psyOld' in item[5]:\n",
    "                #for i in range(5,26):\n",
    "                #    new_valve = 5-psy[i]\n",
    "                #    psy[i] = new_valve\n",
    "                for i in range(26,40):\n",
    "                    new_valve = 1+psy[i]\n",
    "                    psy[i] = new_valve\n",
    "                psy[44] = []\n",
    "                dict1[k1]['psy'] = psy\n",
    "            if 'tcm' in item[5]:\n",
    "                if tcm[40] ==0:\n",
    "                    tcm[40] =1\n",
    "                dict1[k1]['tcm'] = tcm\n",
    "            if 'spine' in item[5]:\n",
    "                for ii in range(25,23,-1):\n",
    "                    \n",
    "                    spine[ii] = spine[ii-1]\n",
    "                    \n",
    "                spine[22] = 0\n",
    "                \n",
    "                \n",
    "                \n",
    "                dict1[k1]['spine'] = spine\n",
    "            #birth = date.fromisoformat(dict3[k1]['birth'].replace('/','-'))\n",
    "\n",
    "            #days =  (rq-birth).days          \n",
    "            #dict1[k1]['age'] = int(days/365)\n",
    "            \n",
    "            dict1[k1]['rq'] = item[6].replace('/','-').split(' ')[0]\n",
    "#print(dict1)\n",
    "filename = 'data/result_北体体质康健1.json'\n",
    "\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict1, fl, ensure_ascii=False)   "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f9111f1-8cf0-4d45-b9b2-e3b631023581",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 获取问卷人员信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d1d02189-e01a-4d7f-9fbb-09b5e72a38df",
   "metadata": {
    "tags": []
   },
   "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_东营老年大学.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict3 = json.load(fl)\n",
    "\n",
    "\n",
    "list1 = []\n",
    "filename = 'data/Survey_20240321.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",
    "\n",
    "\n",
    "list2 = []\n",
    "for item in list1:\n",
    "    list3 = []\n",
    "    phone = item[2]\n",
    "    content = json.loads(item[5])\n",
    "    name = content['name']\n",
    "    gender = content['gender']\n",
    "    unit = content['unit']\n",
    "    list2.append([name,phone,gender,unit])\n",
    "filename = 'data/东营老年大学问卷人员表.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": "eb4091f4-9823-4361-acb2-f3e898f9524b",
   "metadata": {
    "tags": []
   },
   "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_东营老年大学.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict3 = json.load(fl)\n",
    "\n",
    "\n",
    "list1 = []\n",
    "filename = 'data/Survey_20240321.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",
    "for item in list1:\n",
    "    psy = []\n",
    "    tcm = []\n",
    "    spine = []\n",
    "    for i in range(0,45):\n",
    "        psy.append(0)\n",
    "    for i in range(0,60):\n",
    "        tcm.append(0)\n",
    "    for i in range(0,26):\n",
    "        spine.append(0)\n",
    "    phone = item[2]\n",
    "    for k1, v1 in dict3.items():\n",
    "        if 'phone' in  v1.keys() and phone ==v1['phone']:  \n",
    "            dict1[k1] = dict3[k1]\n",
    "            #dict1[k1]['month'] = dict1[k1]['age'] *12\n",
    "#print(dict1)\n",
    "for item in list1:\n",
    "    #print(item)\n",
    "    psy = []\n",
    "    tcm = []\n",
    "    spine = []\n",
    "    for i in range(0,45):\n",
    "        psy.append(0)\n",
    "    for i in range(0,60):\n",
    "        tcm.append(0)\n",
    "    for i in range(0,26):\n",
    "        spine.append(0)\n",
    "    phone = item[2]\n",
    "    for k1, v1 in dict1.items():\n",
    "        #print((k1,v1))\n",
    "        if 'phone' in v1.keys() and phone ==v1['phone']:   \n",
    "            content = json.loads(item[5])\n",
    "            #print(content)\n",
    "            \n",
    "            rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
    "                #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
    "            for k, v in content.items():\n",
    "                #print('k:',k,'v:',v)\n",
    "                if 'psyOld' in k:                    \n",
    "                    i = int(k[6:])\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 'psyOld' in item[5]:\n",
    "                #for i in range(5,26):\n",
    "                #    new_valve = 5-psy[i]\n",
    "                #    psy[i] = new_valve\n",
    "                for i in range(26,40):\n",
    "                    new_valve = 1+psy[i]\n",
    "                    psy[i] = new_valve\n",
    "                psy[44] = []\n",
    "                dict1[k1]['psy'] = psy\n",
    "            if 'tcm' in item[5]:\n",
    "                if tcm[40] ==0:\n",
    "                    tcm[40] =1\n",
    "                dict1[k1]['tcm'] = tcm\n",
    "            if 'spine' in item[5]:\n",
    "                for ii in range(25,23,-1):\n",
    "                    \n",
    "                    spine[ii] = spine[ii-1]\n",
    "                    \n",
    "                spine[22] = 0\n",
    "                \n",
    "                \n",
    "                \n",
    "                dict1[k1]['spine'] = spine\n",
    "            #birth = date.fromisoformat(dict3[k1]['birth'].replace('/','-'))\n",
    "\n",
    "            #days =  (rq-birth).days          \n",
    "            #dict1[k1]['age'] = int(days/365)\n",
    "            \n",
    "            dict1[k1]['rq'] = item[6].replace('/','-').split(' ')[0]\n",
    "#print(dict1)\n",
    "filename = 'data/result_东营老年大学1.json'\n",
    "\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict1, fl, ensure_ascii=False)   "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8dbc7ae-cf00-4591-8572-600c39b37750",
   "metadata": {},
   "source": [
    "## 核对人员成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1e617679-6d57-4389-bc84-4e14e63616f1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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