{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "eaf32c48-d935-4780-9272-8f5ddddf80e5",
   "metadata": {},
   "source": [
    "## 体测人员导入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3d5ddc7a-a331-438d-aa8d-1ad74c7250d0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-03-15T11:30:29.780788Z",
     "iopub.status.busy": "2025-03-15T11:30:29.780027Z",
     "iopub.status.idle": "2025-03-15T11:30:29.813663Z",
     "shell.execute_reply": "2025-03-15T11:30:29.813167Z",
     "shell.execute_reply.started": "2025-03-15T11:30:29.780712Z"
    }
   },
   "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/延庆测试名单.xlsx')\n",
    "sheet = wb.active\n",
    "# sheets = wb.sheetnames\n",
    "person = {}\n",
    "\n",
    "for n in range(2, sheet.max_row+1):\n",
    "    code = 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'] = str(sheet.cell(n, 3).value).replace('/','-').split(' ')[0] \n",
    "    dict1['phone'] = str(sheet.cell(n, 5).value)\n",
    "    person[code] = dict1\n",
    "filename = 'data/延庆人员.json'\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(person, fl, ensure_ascii=False)\n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "faf346a5-3b0e-414e-ab64-dbde3b8c3dbd",
   "metadata": {},
   "source": [
    "## 获取人员测试成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "36aa14f9-cdfd-4ad4-a84e-9809c9db9958",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-03-15T11:53:27.327555Z",
     "iopub.status.busy": "2025-03-15T11:53:27.327111Z",
     "iopub.status.idle": "2025-03-15T11:53:27.348436Z",
     "shell.execute_reply": "2025-03-15T11:53:27.347781Z",
     "shell.execute_reply.started": "2025-03-15T11:53:27.327503Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import datetime\n",
    "import csv\n",
    "from datetime import date\n",
    "import my_module as My\n",
    "\n",
    "filename = 'data/延庆人员.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "filename = 'data/marks_20250315.csv'\n",
    "re_ta = My.get_result(filename,dict1)\n",
    "\n",
    "filename = 'data/result_延庆人员.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": "a68d4f7f-d23a-4649-99eb-ce13b6027414",
   "metadata": {},
   "source": [
    "## 生成测试得分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8f459ed3-fc14-404f-998b-5ed2a15958c3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-03-15T11:30:35.367110Z",
     "iopub.status.busy": "2025-03-15T11:30:35.366428Z",
     "iopub.status.idle": "2025-03-15T11:30:35.380746Z",
     "shell.execute_reply": "2025-03-15T11:30:35.379748Z",
     "shell.execute_reply.started": "2025-03-15T11:30:35.367051Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ok!\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_延庆人员.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 = f'data/result_延庆人员.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict2,fl , ensure_ascii=False) \n",
    "print('ok!')        "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "582e988f-3226-4209-a348-60be2a7750a1",
   "metadata": {},
   "source": [
    "## 导出测试人员信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "93feeeb4-85ea-48e9-9358-0efa00725ede",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-02-16T15:26:48.864416Z",
     "iopub.status.busy": "2025-02-16T15:26:48.863673Z",
     "iopub.status.idle": "2025-02-16T15:26:48.890284Z",
     "shell.execute_reply": "2025-02-16T15:26:48.889595Z",
     "shell.execute_reply.started": "2025-02-16T15:26:48.864343Z"
    }
   },
   "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_延庆人员.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "filename = 'data/延庆人员.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('延庆')\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/延庆体测情况表250216.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": "code",
   "execution_count": 5,
   "id": "f44c57ed-aac8-481a-9126-0dadcbe0190c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-02-23T10:14:06.379557Z",
     "iopub.status.busy": "2025-02-23T10:14:06.379298Z",
     "iopub.status.idle": "2025-02-23T10:14:06.424726Z",
     "shell.execute_reply": "2025-02-23T10:14:06.424184Z",
     "shell.execute_reply.started": "2025-02-23T10:14:06.379536Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ok\n"
     ]
    }
   ],
   "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','得分','握力','得分','坐位体前屈','得分','纵跳','得分','俯卧撑','得分','一分钟仰卧起坐','得分','单脚站立','得分','选择反应时','得分','台阶指数','得分']\n",
    "\n",
    "filename = 'data/result_延庆人员.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "list1 = []\n",
    "for k, v in dict1.items():    #print(k,dict2[str(k)]['name'])\n",
    "    list2 = []\n",
    "    list2.append(str(k).rjust(5,'0'))\n",
    "    list2.append(dict1[k]['name'])    \n",
    "    list2.append(dict1[k]['sex'])\n",
    "    i = 0\n",
    "    if 'bmi' in dict1[k].keys():\n",
    "        list2.append(dict1[k]['bmi']['成绩'].split(',')[0])\n",
    "        list2.append(dict1[k]['bmi']['成绩'].split(',')[1])\n",
    "        list2.append(dict1[k]['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 dict1[k].keys():\n",
    "            list2.append(dict1[k][item]['成绩'])\n",
    "            list2.append(dict1[k][item]['score']) \n",
    "            i+=1\n",
    "        elif item =='name':\n",
    "            list2.append(dict1[k][item])\n",
    "        else:\n",
    "            list2.append('') \n",
    "            list2.append('') \n",
    "    if i>2:\n",
    "        list1.append(list2)\n",
    "filename = 'data/延庆体测情况表250223.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": "7a065563-5478-45df-bf7d-3c2654ca1607",
   "metadata": {},
   "source": [
    "## 导入问卷信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7c170e0e-e618-42b2-99ee-7b6f2ee34bb4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-03-15T11:30:50.221964Z",
     "iopub.status.busy": "2025-03-15T11:30:50.221472Z",
     "iopub.status.idle": "2025-03-15T11:30:50.229690Z",
     "shell.execute_reply": "2025-03-15T11:30:50.229155Z",
     "shell.execute_reply.started": "2025-03-15T11:30:50.221936Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7\n"
     ]
    }
   ],
   "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",
    "\n",
    "filename = 'data/result_延庆人员.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "filename = 'data/延庆人员.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[v['phone']] = k\n",
    "\n",
    "list1 = []\n",
    "filename = 'data/Survey_20250315.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",
    "data1 = My.get_wenjuan(list1,phone,dict1,dict3)\n",
    "\n",
    "\n",
    "filename = 'data/result_延庆人员-1.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(data1[0], fl, ensure_ascii=False)\n",
    "print(data1[1])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f86b0f59-c1f6-4523-aefd-854f04305ec9",
   "metadata": {},
   "source": [
    "## 生成报告"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9e843585-fef3-4f5c-baae-76e711f2a42f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-03-15T11:31:04.247327Z",
     "iopub.status.busy": "2025-03-15T11:31:04.246569Z",
     "iopub.status.idle": "2025-03-15T11:31:12.426034Z",
     "shell.execute_reply": "2025-03-15T11:31:12.425404Z",
     "shell.execute_reply.started": "2025-03-15T11:31:04.247255Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14\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_延庆人员-1.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "list1 = []\n",
    "file_path ='./延庆/'\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(5,\"0\")\n",
    "    mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
    "    mydata['title'] = '延庆'\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','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": "code",
   "execution_count": null,
   "id": "7143c16b-6e45-4a10-a04c-6b90631ddfb0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "codemirror_mode": {
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