{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "cba4b789-a7f2-496f-ad57-a5656fe31bd1",
   "metadata": {},
   "source": [
    "## 导入人员信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "feb31e69-387f-4856-a881-3044080e6d9a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "import datetime\n",
    "\n",
    "wb = openpyxl.load_workbook('data/悟空仪器人员信息表.xlsx')\n",
    "sheet = wb.active\n",
    "# sheets = wb.sheetnames\n",
    "person = {}\n",
    "\n",
    "for n in range(2, sheet.max_row+1):\n",
    "    if sheet.cell(n,1).value is not None:\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'] = sheet.cell(n, 5).value\n",
    "        dict1['birth'] = str(sheet.cell(n, 4).value).split()[0]\n",
    "        birth = dict1['birth'].split()[0].split('-')\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",
    "        days = (datetime.date(2023, 8, 22)-datetime.date(nian,yue,ri)).days\n",
    "        dict1['month'] = int(days/365*12)\n",
    "        dict1['age'] = int(days/365)\n",
    "        person[code] = dict1\n",
    "filename = 'data/悟空仪器.json'\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(person, fl, ensure_ascii=False,default=str)\n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b3f33d7-d4fa-438c-8620-e232ba37bdeb",
   "metadata": {},
   "source": [
    "## 导入测试信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a1e5f045-2c26-414c-9ce0-eb73678ef0ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import time\n",
    "import csv\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/悟空仪器.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "\n",
    "filename = 'data/places_result_20230829.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",
    "for result in list1:\n",
    "    user = str(result[2])\n",
    "    if user in dict1.keys():        \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]['unit'] = dict1[user]['unit']\n",
    "        re_ta[user]['age'] = dict1[user]['age']\n",
    "        re_ta[user]['month'] = dict1[user]['month']\n",
    "        item_name = item[m_item]['en']\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_悟空仪器.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": "bdee5e18-c4b0-4943-bed0-b9137b970661",
   "metadata": {},
   "source": [
    "## 计算测试得分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fd29332f-371e-410d-a709-58b9046cded1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import time\n",
    "\n",
    "filename = '../item.json'\n",
    "item = {}\n",
    "unit = {}\n",
    "with open(filename,'r') as fl:\n",
    "    dict3 = json.load(fl) \n",
    "for k,v in dict3.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",
    "filename = 'data/体质检测标准 (1).json'    \n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "\n",
    "\n",
    "def cal_score(data1):\n",
    "    #data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46}     \n",
    "    person = dict1['person']\n",
    "    criteria = dict1['criteria']    \n",
    "    info = data1['sex']+str(data1['age'])\n",
    "    bz = person[info]\n",
    "    mx = criteria[bz][data1['item']]\n",
    "    result = data1['result']    \n",
    "    if data1['item'] == 'reaction':\n",
    "        for bz1 in mx:\n",
    "            if result > bz1:\n",
    "                #print(bz1)\n",
    "                score = mx.index(bz1,0)\n",
    "                break\n",
    "            else:\n",
    "                score = 5\n",
    "    else:\n",
    "        for bz1 in mx:\n",
    "            if result < bz1:\n",
    "                #print(bz1)\n",
    "                score = mx.index(bz1,0)\n",
    "                break\n",
    "            else:\n",
    "                score = 5\n",
    "    return(score)\n",
    "filename = 'data/体质检测标准_BMI.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict4 = json.load(fl) \n",
    "    \n",
    "def cal_bmi(data1):\n",
    "   # data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}\n",
    "    person = dict4['person']\n",
    "    criteria = dict4['criteria']\n",
    "    \n",
    "    info = data1['sex']+str(data1['age'])\n",
    "    bz = person[info]\n",
    "    #print(bz)\n",
    "    result = data1['result']\n",
    "    print(result)\n",
    "    height = int(float(result.split(',')[0]))\n",
    "    weight = float(result.split(',')[1])\n",
    "    mx = criteria[bz][str(height)]\n",
    "    if weight < mx[0]:\n",
    "        score = 1\n",
    "    elif weight < mx[1]:\n",
    "        score = 3\n",
    "    elif weight < mx[2]:\n",
    "        score = 5    \n",
    "    elif weight <= mx[3]:\n",
    "        score = 3  \n",
    "    elif weight > mx[3]:\n",
    "        score = 1\n",
    "    return score\n",
    "    \n",
    "    \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_悟空仪器.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict2 = json.load(fl) \n",
    "for k, v in dict2.items():\n",
    "    if v['sex'] == '男':\n",
    "        sex = 'M'\n",
    "    else:\n",
    "        sex = 'F'            \n",
    "    if 'height' in v.keys() and 'weight' in v.keys():\n",
    "        bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n",
    "        data1 = {'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'] = cal_bmi(data1)\n",
    "    for item_en in list_item:\n",
    "        if item_en in v.keys():            \n",
    "            data1 = {'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n",
    "            dict2[k][item_en]['score'] = cal_score(data1)\n",
    "            #print(k,v[item_en]['成绩'],cal_score(data1))\n",
    "\n",
    "filename = 'data/result_悟空仪器1.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict2,fl , ensure_ascii=False) \n",
    "print('ok!')            \n",
    "            \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "507d5fec-a28b-498e-a7b3-10f1ed653e60",
   "metadata": {},
   "source": [
    "## 生成报告"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8af556eb-3397-4ec7-8c88-52c8420a73c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import json\n",
    "\n",
    "headers = {\n",
    "    \"Content-Type\": \"application/json; charset=UTF-8\"\n",
    "    }\n",
    "filename = 'data/result_悟空仪器1.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "list1 = []\n",
    "fiie_path ='./2201/'\n",
    "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
    "for  k, v in dict1.items():\n",
    "    mydata = {}\n",
    "    \n",
    "    id = str(k).rjust(5,\"0\")\n",
    "    mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n",
    "    mydata['title'] = '悟空仪器'\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['fit'] = {}\n",
    "    for item in list_item:\n",
    "        if item in v.keys():\n",
    "            mydata['fit'][item] = {'mark':v[item]['成绩'].split()[0],'score':v[item]['score']}\n",
    "    list1.append(mydata)        \n",
    "    #x = requests.post('http://192.168.31.163:3003', data = json.dumps(mydata), headers=headers)\n",
    "    #print(id,v['name'],x.text)\n",
    "    #x.close()\n",
    "    #if k =='218':\n",
    "    #    print(mydata)\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/悟空data1.json\", \"w\",encoding = 'utf-8') as file:\n",
    "    file.write(json_data)   \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e089a71e-dbcf-4327-a192-c7be5410662b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import requests\n",
    "import json\n",
    "\n",
    "headers = {\n",
    "    \"Content-Type\": \"application/json; charset=UTF-8\"\n",
    "    }\n",
    "filename = 'data/result_悟空仪器1.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "list1 = []\n",
    "fiie_path ='./2201_1/'\n",
    "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
    "for  k, v in dict1.items():\n",
    "    list1 = []\n",
    "    mydata = {}\n",
    "    \n",
    "    id = str(k).rjust(5,\"0\")\n",
    "    mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n",
    "    mydata['title'] = '悟空仪器'\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",
    "    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",
    "            else:\n",
    "                mark = v[item]['成绩'].split()[0]\n",
    "            mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
    "    list1.append(mydata)        \n",
    "    x = requests.post('http://192.168.31.163:3003', data = json.dumps(list1), headers=headers)\n",
    "    print(id,v['name'],x.text)\n",
    "    x.close()\n",
    "    #print(mydata)\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7c6234f-64da-4db9-b626-309ec5e605bb",
   "metadata": {},
   "source": [
    "## 计算项目平均分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2fc0a9b0-6acf-460f-a827-ea9119ee4edc",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "filename = 'data/悟空data1.json'\n",
    "with open(filename,'r') as fl:\n",
    "    list1 = json.load(fl)\n",
    "dict2 = {}\n",
    "#print(list1)\n",
    "for item in list1:\n",
    "    for k, v in item['fit'].items():\n",
    "        dict2.setdefault(k,{'count':0,'score':0})\n",
    "        dict2[k]['count'] = dict2[k]['count']+1\n",
    "        dict2[k]['score'] = dict2[k]['score'] + v['score']\n",
    "for k, v in dict2.items():\n",
    "    print(k,v['count'],v['score'],)\n",
    "        \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "677371c7-f5aa-457f-9baa-3fa4bda2dcf8",
   "metadata": {},
   "source": [
    "## 核对成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "51d613bb-c2d1-4e43-a156-f7ebad9948b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import csv\n",
    "\n",
    "filename = '../item.json'\n",
    "item = {}\n",
    "unit = {}\n",
    "with open(filename,'r') as fl:\n",
    "    dict3 = json.load(fl) \n",
    "for k,v in dict3.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",
    "re_ta = {}\n",
    "list1 = []\n",
    "item_list = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
    "filename = 'data/places_result_20230826.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",
    "for result in list1:\n",
    "    user = str(result[2])\n",
    "       \n",
    "    m_item = str(result[3])    \n",
    "    re_ta.setdefault(user,{})            \n",
    "    item_name = item[m_item]['en']\n",
    "    re_ta[user].setdefault(item_name,{})  \n",
    "    score = int(result[4])/item[m_item]['divisor']    \n",
    "    re_ta[user][item_name]['成绩'] = result[5]\n",
    "\n",
    "filename = 'data/悟空data1.json'\n",
    "with open(filename,'r') as fl:\n",
    "    list1 = json.load(fl)\n",
    "for data in list1:\n",
    "    code = str(int(data['id']))\n",
    "    for k, v in data['fit'].items():\n",
    "        if code in re_ta.keys():\n",
    "            if k in item_list:\n",
    "                print(code,k,v['score'],re_ta[code][k]['成绩'])\n",
    "            if k == 'bmi':\n",
    "                print(code,k,v['score'],re_ta[code]['weight']['成绩'])\n",
    "            \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "951a7663-e152-4b82-9685-74912b9258d8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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