{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "04524c85-988e-4dbf-86eb-939a9db7aa28",
   "metadata": {},
   "source": [
    "## 体测人员导入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bbba6efc-73cd-4db6-bae7-014724fee731",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-11-26T12:30:54.402556Z",
     "iopub.status.busy": "2023-11-26T12:30:54.402097Z",
     "iopub.status.idle": "2023-11-26T12:30:54.454920Z",
     "shell.execute_reply": "2023-11-26T12:30:54.453841Z",
     "shell.execute_reply.started": "2023-11-26T12:30:54.402519Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ok\n"
     ]
    }
   ],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "\n",
    "\n",
    "wb = openpyxl.load_workbook('data/党建出版社2025.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['unit'] = '党建出版社'\n",
    "    dict1['birth'] = sheet.cell(n,3).value\n",
    "    dict1['phone'] = sheet.cell(n,5).value\n",
    "    person[code] = dict1\n",
    "filename = 'data/党建出版社2025.json'\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(person, fl, ensure_ascii=False)\n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9448933d-527c-410d-ba55-4ce1819a8c1e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-28T01:56:09.248016Z",
     "iopub.status.busy": "2025-05-28T01:56:09.247344Z",
     "iopub.status.idle": "2025-05-28T01:56:09.438873Z",
     "shell.execute_reply": "2025-05-28T01:56:09.438386Z",
     "shell.execute_reply.started": "2025-05-28T01:56:09.247957Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ok\n"
     ]
    }
   ],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "\n",
    "\n",
    "wb = openpyxl.load_workbook('data/通用卡.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'] = sheet.cell(n,3).value\n",
    "    person[code] = dict1\n",
    "filename = 'data/通用卡.json'\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(person, fl, ensure_ascii=False)\n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "048a95aa-1691-45f6-b933-6eaf95ae1d30",
   "metadata": {},
   "source": [
    "## 生成读卡系统文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ce406710-6b7d-4c51-98ec-78883bd3ce5f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-28T01:57:01.051560Z",
     "iopub.status.busy": "2025-05-28T01:57:01.050181Z",
     "iopub.status.idle": "2025-05-28T01:57:01.063491Z",
     "shell.execute_reply": "2025-05-28T01:57:01.062383Z",
     "shell.execute_reply.started": "2025-05-28T01:57:01.051490Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ok\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "\n",
    "filename = 'data/通用卡.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':'编号卡'}\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_编号卡.json\", \"w\",encoding = 'utf-8') as file:\n",
    "    file.write(json_data)   \n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bcd45c2-10af-4d5f-9e0b-5cd1df4f7a7f",
   "metadata": {},
   "source": [
    "## 获取人员测试成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "970e171e-1360-448f-a28c-520ccb8f314a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-30T06:04:13.081538Z",
     "iopub.status.busy": "2025-05-30T06:04:13.080855Z",
     "iopub.status.idle": "2025-05-30T06:04:13.108682Z",
     "shell.execute_reply": "2025-05-30T06:04:13.107978Z",
     "shell.execute_reply.started": "2025-05-30T06:04:13.081474Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "60\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/党建出版社2025.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "filename = 'data/marks_20250530.csv'\n",
    "re_ta = My.get_result(filename,dict1)\n",
    "\n",
    "filename = 'data/result_党建出版社2025.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": "699c6a40-a6ae-4300-9646-708cb85aa5e8",
   "metadata": {},
   "source": [
    "## 生成测试得分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "def3f47a-24ef-4815-b63b-2a16b79b4c15",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-30T06:06:04.468199Z",
     "iopub.status.busy": "2025-05-30T06:06:04.467495Z",
     "iopub.status.idle": "2025-05-30T06:06:04.482491Z",
     "shell.execute_reply": "2025-05-30T06:06:04.481540Z",
     "shell.execute_reply.started": "2025-05-30T06:06:04.468131Z"
    },
    "tags": []
   },
   "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_党建出版社2025.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_党建出版社2025.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict2,fl , ensure_ascii=False) \n",
    "print('ok!')        "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d034a61d-1fbd-417b-99bd-277e43ebb678",
   "metadata": {},
   "source": [
    "## 导出测试人员信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "67e63f07-3f20-4e0e-9c07-7bf6024eeb4b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-30T06:07:24.191486Z",
     "iopub.status.busy": "2025-05-30T06:07:24.190813Z",
     "iopub.status.idle": "2025-05-30T06:07:24.386100Z",
     "shell.execute_reply": "2025-05-30T06:07:24.385612Z",
     "shell.execute_reply.started": "2025-05-30T06:07:24.191424Z"
    }
   },
   "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_党建出版社2025.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "filename = 'data/党建出版社2025.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(dict2[k]['unit'])\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/党建出版社测试情况表2025.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": null,
   "id": "0db73bab-bd7b-4446-ab8e-432f918288b7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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