{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "37eee6b1-ddbc-414c-ac74-e831c53c9bdb",
   "metadata": {},
   "source": [
    "### 人员基本信息导入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a27e986c-0c40-4792-b24d-03b19df707a9",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "\n",
    "wb = openpyxl.load_workbook('data/巴陵石化监测花名册.xlsx')\n",
    "sheet = wb.active\n",
    "# sheets = wb.sheetnames\n",
    "person = {}\n",
    "for n in range(2, sheet.max_row+1):\n",
    "    if sheet.cell(n,2).value is None:\n",
    "        break\n",
    "    else:        \n",
    "        code = int(sheet.cell(n, 4).value)\n",
    "        person.setdefault(code, {})\n",
    "        dict1 = {}\n",
    "        dict1['name'] = sheet.cell(n, 6).value    \n",
    "        xb = str(sheet.cell(n, 7).value)\n",
    "        if xb == '1':\n",
    "            sex = '男'\n",
    "        elif xb =='2':\n",
    "            sex = '女'\n",
    "        dict1['sex'] = sex\n",
    "        dict1['unit'] = sheet.cell(n, 3).value\n",
    "        dict1['birth'] = str(sheet.cell(n,8).value).split(' ')[0]\n",
    "        person[code] = dict1\n",
    "filename = 'data/巴陵石化人员.json'\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(person, fl, ensure_ascii=False)\n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1384a8f-36f4-483e-afb4-65a56a064dd3",
   "metadata": {},
   "source": [
    "### 获取人员测试成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e5e4145b-d575-46b5-a530-c722668f76f3",
   "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",
    "#SQL语句为：\n",
    "# SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name FROM places_result AS a,_zgshhgxs AS b WHERE a.place_id=135 AND a.avatar_id=b.id AND a.avatar_id < 4999\n",
    "\n",
    "re_ta = {}\n",
    "dict1 = {}\n",
    "list1 = []\n",
    "#print(\"\\n运动项目信息：\")\n",
    "filename = 'data/137_2210.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[4])\n",
    "    m_item = str(result[0])    \n",
    "    re_ta.setdefault(user,{})    \n",
    "    re_ta[user]['name'] = str(result[6])\n",
    "    re_ta[user]['unit'] = str(result[5])    \n",
    "    item_name = item[m_item]['name']\n",
    "    re_ta[user].setdefault(item_name,{})  \n",
    "    score = int(result[1])/item[m_item]['divisor']    \n",
    "    re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
    "    re_ta[user][item_name]['得分'] =result[2]\n",
    "filename = 'data/result_巴陵.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(re_ta, fl) \n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c911994-2ce1-4412-8d56-39b195e66457",
   "metadata": {},
   "source": [
    "### 导出测试成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0582bc84-7234-415f-9715-66c27b6b8f91",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "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','单位/部门','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_巴陵.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "filename = 'data/巴陵石化人员.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(8,'0'))\n",
    "    list2.append(v['name'])    \n",
    "    list2.append(dict2[k]['sex'])\n",
    "    list2.append(dict2[k]['unit'])    \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/巴陵石化体测情况表（截至20221031）.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": "8e8dc85d-7ed7-4146-98c6-8d2dc64026ea",
   "metadata": {},
   "source": [
    "### 统计测试成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6b40ff7f-68c1-4c04-9bdc-3af16980fc25",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import openpyxl\n",
    "\n",
    "items = ['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_巴陵.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "filename = 'data/巴陵石化人员.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict2 = json.load(fl)\n",
    "    \n",
    "list1 = []\n",
    "dict3 = {}\n",
    "i = 0\n",
    "for k, v in dict1.items():\n",
    "    sex = dict2[k]['sex']\n",
    "    dict3.setdefault(sex,{})    \n",
    "    for item in v.keys():\n",
    "        if item in items:\n",
    "            dict3[sex].setdefault(item,[]) \n",
    "            if v[item]['得分'].isdigit() :\n",
    "                dict3[sex][item].append(v[item]['得分'])    \n",
    "#print(dict3)    \n",
    "for k, v in dict3.items():\n",
    "    sex = k\n",
    "    for k1, v1 in v.items():\n",
    "        df = 0\n",
    "        if len(v1) >0:\n",
    "            \n",
    "            for i in range(0,len(v1)-1):\n",
    "                df = df + int(v1[i])\n",
    "        print(sex,k1,df,i)\n",
    "            \n",
    "    \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19947e33-64f8-4855-8b28-60e2a8c3543c",
   "metadata": {},
   "source": [
    "### 报告按照部门分组"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7930c77b-7a99-4bd0-b998-b9801ed3b257",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import os,sys,shutil\n",
    "import json\n",
    "import math\n",
    "\n",
    "\n",
    "fi_path = os.getcwd()+'/file/137'\n",
    "old = []\n",
    "new = []\n",
    "dict2 = {}\n",
    "depart = []\n",
    "\n",
    "filename = 'data/巴陵石化人员.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "for k, v in dict1.items():\n",
    "    m_name = v['name']\n",
    "    m_depart = v['unit']\n",
    "    depart.append(m_depart)    \n",
    "    dict2[int(k)] = [m_name,m_depart]\n",
    "\n",
    "\n",
    "fl=os.listdir(fi_path)\n",
    "for fn in fl:\n",
    "    if os.path.isfile(fi_path + '/' + fn):\n",
    "        ofn = int(fn.split('.')[0])\n",
    "        old.append(ofn)\n",
    "    #print(fn)\n",
    "old.sort()\n",
    "    #print(str(nfn)+'.pdf')\n",
    "\n",
    "for n in old:    \n",
    "    o_name = f'{fi_path}/{n}.pdf'\n",
    "    if not os.path.exists(f'{fi_path}/new/{dict2[n][1]}'):\n",
    "        os.mkdir(f'{fi_path}/new/{dict2[n][1]}') \n",
    "    n_name = f'{fi_path}/new/{dict2[n][1]}/{str(n).rjust(5,\"0\")}-{dict2[n][0]}.pdf'\n",
    "    if not os.path.exists(n_name):\n",
    "        shutil.copyfile(o_name,n_name)\n",
    "        print(n_name)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b09a3236-e540-4a49-bd19-e11e3de77a71",
   "metadata": {},
   "source": [
    "### 统计报告人员信息表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "22836727-9658-453a-99db-4d270c3253d4",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import openpyxl\n",
    "import os\n",
    "import glob\n",
    "\n",
    "filename = 'data/巴陵石化人员.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "m_path = os.getcwd()+'/file/137'\n",
    "fls = glob.glob(f'file/137/*.pdf')\n",
    "list1 = []\n",
    "for fn in fls:\n",
    "    list2 = []\n",
    "    code = os.path.basename(fn).split('.')[0]\n",
    "    list2 = [code.rjust(5,\"0\"),dict1[code]['name'],dict1[code]['unit']]\n",
    "    list1.append(list2)\n",
    "title = ['编号','姓名','部门']    \n",
    "filename = 'data/巴陵二部门人员体测情况表（截至20221103）.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": "2f392a9a-0ffd-48c2-a9d7-7af99ca0f5f6",
   "metadata": {},
   "source": [
    "### 统计部门测试人员情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e8e04af4-978a-463f-83e3-c015e1e72938",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import openpyxl\n",
    "\n",
    "title = ['部门','部门人数','已测人数','未测人数']\n",
    "filename = 'data/巴陵石化人员.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "filename = 'data/result_巴陵.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict2 = json.load(fl)\n",
    "\n",
    "dict3 = {}\n",
    "for k, v in dict1.items():\n",
    "    dict3.setdefault(v['unit'],{})\n",
    "    dict3[v['unit']].setdefault('人数',0)\n",
    "    dict3[v['unit']].setdefault('已测人数',0)\n",
    "    dict3[v['unit']]['人数'] = dict3[v['unit']]['人数']+1\n",
    "for k, v in dict2.items():\n",
    "    if len(v.keys())>5:        \n",
    "        dict3[v['unit']]['已测人数'] = dict3[v['unit']]['已测人数'] + 1\n",
    "list1 = []\n",
    "\n",
    "for k, v in dict3.items():\n",
    "    list2 = []\n",
    "    list2 = [k,v['人数'],v['已测人数'],v['人数']-v['已测人数']]\n",
    "    \n",
    "    list1.append(list2)\n",
    "filename = 'data/巴陵炼化体测人数统计表.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": "code",
   "execution_count": null,
   "id": "9cfed761-0251-47b5-831b-e005b6675452",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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