{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a4aa8953-df5c-4389-a26b-254f4b07e8ff",
   "metadata": {},
   "source": [
    "## 导入人员信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a03a5289-9766-4a60-9d38-245deb2ee4e6",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "\n",
    "\n",
    "wb = openpyxl.load_workbook('data/天宫院街道2024.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",
    "        \n",
    "        \n",
    "        dict1['sex'] = sheet.cell(n,3).value\n",
    "        birth = str(sheet.cell(n, 4).value).split()[0]\n",
    "        dict1['birth'] = birth.replace('/','-')\n",
    "        \n",
    "        person[code] = dict1\n",
    "        if sheet.cell(n,5).value is not None:\n",
    "            dict1['phone'] = sheet.cell(n,5).value\n",
    "\n",
    "        person[code] = dict1\n",
    "filename = 'data/天宫院街道2024.json'\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(person, fl, ensure_ascii=False)\n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b29a6f3c-035c-4c74-bbac-61e83be2b37c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-11T08:18:28.633340Z",
     "iopub.status.busy": "2024-07-11T08:18:28.632568Z",
     "iopub.status.idle": "2024-07-11T08:18:28.654035Z",
     "shell.execute_reply": "2024-07-11T08:18:28.653382Z",
     "shell.execute_reply.started": "2024-07-11T08:18:28.633268Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ok\n"
     ]
    }
   ],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "\n",
    "\n",
    "wb = openpyxl.load_workbook('data/天宫院街道.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",
    "        person[code] = dict1\n",
    "filename = 'data/天宫院街道all.json'\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(person, fl, ensure_ascii=False)\n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c1f6f1a-80cd-4451-a9ad-e706c4df9083",
   "metadata": {},
   "source": [
    "## 生成手工记录插入格式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d7302951-5960-4686-808f-7e73aa66e025",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "\n",
    "filename = 'data/天宫院社区人员名单.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "filename = 'data/天宫院手工记录成绩.xlsx'\n",
    "wb = openpyxl.load_workbook(filename)\n",
    "sheet = wb.active\n",
    "\n",
    "s = ''\n",
    "place = \"587256\"\n",
    "sql = []\n",
    "for n in range(2, sheet.max_row+1):\n",
    "    if sheet.cell(n,1).value is not None:\n",
    "        code = str(sheet.cell(n, 1).value)\n",
    "        print(code)\n",
    "        if dict1[code]['sex'] == '男':\n",
    "            item = 5\n",
    "        else:\n",
    "            item = 9\n",
    "        sj = '2023-04-20 22:00:00'\n",
    "        s = f'({place},{code},{item},{sheet.cell(n, 7).value},\"2023-04-20\",0,\"{sj}\")'\n",
    "        sql.append(s)\n",
    "s = ','.join(sql)\n",
    "print(s)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be31057b-a543-4053-9209-307e9a8688c3",
   "metadata": {},
   "source": [
    "## 获取人员测试成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "db39190f-47d4-4a7c-b727-c79e2a64452f",
   "metadata": {
    "tags": []
   },
   "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",
    "re_ta = {}\n",
    "dict1 = {}\n",
    "list1 = []\n",
    "filename = 'data/天宫院街道2024.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "\n",
    "filename = 'data/places_result_20240710.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",
    "        item_name = item[m_item]['name']\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_天宫院街道2024.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": "code",
   "execution_count": 9,
   "id": "590775c3-16ef-43ad-99a2-85e847fe4079",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-11T08:19:29.653063Z",
     "iopub.status.busy": "2024-07-11T08:19:29.652598Z",
     "iopub.status.idle": "2024-07-11T08:19:29.662479Z",
     "shell.execute_reply": "2024-07-11T08:19:29.661939Z",
     "shell.execute_reply.started": "2024-07-11T08:19:29.653037Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "61\n",
      "61\n"
     ]
    }
   ],
   "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",
    "re_ta = {}\n",
    "dict1 = {}\n",
    "list1 = []\n",
    "filename = 'data/天宫院街道all.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "\n",
    "filename = 'data/places_result_20240710.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",
    "        item_name = item[m_item]['name']\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_天宫院街道all.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": "dd96c378-f40c-4c21-b91e-78224a18e105",
   "metadata": {},
   "source": [
    "## 导出测试成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c2ee2c71-7e28-4201-af85-ed7f001c6872",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-11T08:19:59.192307Z",
     "iopub.status.busy": "2024-07-11T08:19:59.191555Z",
     "iopub.status.idle": "2024-07-11T08:19:59.221577Z",
     "shell.execute_reply": "2024-07-11T08:19:59.220830Z",
     "shell.execute_reply.started": "2024-07-11T08:19:59.192234Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "101 李先生\n"
     ]
    },
    {
     "ename": "KeyError",
     "evalue": "'sex'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[10], line 20\u001b[0m\n\u001b[1;32m     18\u001b[0m list2\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;28mstr\u001b[39m(k)\u001b[38;5;241m.\u001b[39mrjust(\u001b[38;5;241m3\u001b[39m,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m0\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m     19\u001b[0m list2\u001b[38;5;241m.\u001b[39mappend(v[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mname\u001b[39m\u001b[38;5;124m'\u001b[39m])    \n\u001b[0;32m---> 20\u001b[0m list2\u001b[38;5;241m.\u001b[39mappend(\u001b[43mdict2\u001b[49m\u001b[43m[\u001b[49m\u001b[43mk\u001b[49m\u001b[43m]\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43msex\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m)\n\u001b[1;32m     23\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m item \u001b[38;5;129;01min\u001b[39;00m items:\n\u001b[1;32m     24\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m item \u001b[38;5;129;01min\u001b[39;00m v\u001b[38;5;241m.\u001b[39mkeys():\n",
      "\u001b[0;31mKeyError\u001b[0m: 'sex'"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import openpyxl\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",
    "title = ['编号','姓名','性别','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",
    "filename = 'data/result_天宫院街道.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "filename = 'data/天宫院街道all.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",
    "    print(k,v['name'])\n",
    "    list2.append(str(k).rjust(3,'0'))\n",
    "    list2.append(v['name'])    \n",
    "    list2.append(dict2[k]['sex'])\n",
    "      \n",
    "    \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",
    "    list1.append(list2)\n",
    "filename = 'data/天宫院社区体测情况表_all.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": 11,
   "id": "ddba1233-6ab2-480d-8bde-ed8e1c34e48e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-11T08:20:48.587834Z",
     "iopub.status.busy": "2024-07-11T08:20:48.587065Z",
     "iopub.status.idle": "2024-07-11T08:20:48.615936Z",
     "shell.execute_reply": "2024-07-11T08:20:48.615410Z",
     "shell.execute_reply.started": "2024-07-11T08:20:48.587764Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "101 李有才\n",
      "44 星众豪\n",
      "94 谢红印\n",
      "14 孙一萂\n",
      "132 梁正文\n",
      "123 刘\n",
      "93 李洪芝\n",
      "71 李羽馨\n",
      "91 孙婧祎\n",
      "8 王红晶\n",
      "126 马\n",
      "125 陈\n",
      "6 刘艳\n",
      "96 薛颖\n",
      "2 刘书本\n",
      "40 杨春华\n",
      "9 霍思诺\n",
      "124 苗\n",
      "128 张\n",
      "78 朱蕊\n",
      "10 李晨曦\n",
      "5 李芳\n",
      "100 聂彦芹\n",
      "4 富红\n",
      "68 冯瑞文\n",
      "108 杨\n",
      "130 徐\n",
      "86 阎树芹\n",
      "83 张万成\n",
      "116 白景香\n",
      "103 王梓涵\n",
      "15 王慧兰\n",
      "36 冯玉红\n",
      "118 王玉芬\n",
      "102 王岩东\n",
      "19 张竹辰\n",
      "38 路德慧\n",
      "111 张\n",
      "37 张影\n",
      "25 孟现春\n",
      "41 朱朝云\n",
      "85 武宜国\n",
      "107 刘连英\n",
      "20 王韵琪\n",
      "7 李雪\n",
      "18 王真秀\n",
      "98 张建霞\n",
      "131 陈艳莉\n",
      "106 沈建新\n",
      "43 杨桂兰\n",
      "127 张\n",
      "39 韩润壮\n",
      "129 薛\n",
      "110 赵\n",
      "79 郭忠臣\n",
      "81 赵淑芬\n",
      "115 朱\n",
      "114 王淑云\n",
      "62 赵秀香\n",
      "31 张成林\n",
      "99 张东喜\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import openpyxl\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",
    "title = ['编号','姓名','性别','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",
    "filename = 'data/result_天宫院街道all.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "filename = 'data/天宫院街道all.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",
    "    print(k,v['name'])\n",
    "    list2.append(str(k).rjust(3,'0'))\n",
    "    list2.append(v['name'])  \n",
    "    \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",
    "    list1.append(list2)\n",
    "filename = 'data/天宫院社区体测情况表_all.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": "markdown",
   "id": "39f2ae5b-c87d-4bb3-bbfb-574899136ed8",
   "metadata": {},
   "source": [
    "## 体测报告更名分组"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "852cb395-ac79-4525-bb42-2d5078579a7b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import os,sys,shutil\n",
    "import json\n",
    "import math\n",
    "import openpyxl\n",
    "\n",
    "fi_path = 'file/天宫院'\n",
    "old = []\n",
    "fl=os.listdir(fi_path)\n",
    "\n",
    "for fn in fl:\n",
    "    if os.path.isfile(fi_path + '/' + fn):\n",
    "        ofn = int(fn.split('.')[0])\n",
    "        old.append(ofn) \n",
    "old.sort()\n",
    "for n in old:    \n",
    "    o_name = f'{fi_path}/{n}.pdf'\n",
    "    name = dict1[str(n)]['name']\n",
    "    n_name = f'{m_path}/{str(n).rjust(3,\"0\")}-{name}.pdf'\n",
    "    #print(o_name,n_name)\n",
    "    if not os.path.exists(n_name):\n",
    "        shutil.copyfile(o_name,n_name)\n",
    "        print(n_name)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8287c5d-c249-4e56-99e6-a7b0865127e0",
   "metadata": {},
   "source": [
    "## 生成下载文件JSON文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "08ce9a37-b40c-4cb7-8c12-f18e2ecfc462",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import os,sys,shutil\n",
    "import json\n",
    "import math\n",
    "import openpyxl\n",
    "\n",
    "filename = 'data/天宫院社区人员名单.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "fi_path = 'file/天宫院'\n",
    "old = []\n",
    "fl=os.listdir(fi_path)\n",
    "\n",
    "for fn in fl:\n",
    "    if os.path.isfile(fi_path + '/' + fn):\n",
    "        ofn = int(fn.split('.')[0])\n",
    "        old.append(ofn) \n",
    "old.sort()\n",
    "dict2 = {}\n",
    "for n in old:\n",
    "    if str(n) in dict1.keys() and 'phone' in dict1[str(n)].keys():\n",
    "        dict2[n] = {'name':dict1[str(n)]['name'].strip(),'phone':str(dict1[str(n)]['phone']).strip()}\n",
    "        \n",
    "filename = 'data/tiangongyuan.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict2, fl, ensure_ascii=False) \n",
    "print('ok') \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "07d4850a-fccd-4759-b360-3762ada7c5b2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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