{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "61f4a6eb-797e-4fe2-95df-e27b316c95f1",
   "metadata": {},
   "source": [
    "### 人员基本信息导入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f6bc68b5-9ed8-4b28-ab1a-452107b6429a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "\n",
    "wb = openpyxl.load_workbook('data/北海石化监测花名册2022 .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/北海炼化人员_2022.json'\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(person, fl, ensure_ascii=False)\n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe54b0b2-0abd-4ee9-827d-0e3a4c9bd1f2",
   "metadata": {},
   "source": [
    "### 获取人员测试成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "97031317-76ed-4404-b922-6ca749e4fd2a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-11-01T09:18:38.933088Z",
     "iopub.status.busy": "2022-11-01T09:18:38.932552Z",
     "iopub.status.idle": "2022-11-01T09:18:39.012745Z",
     "shell.execute_reply": "2022-11-01T09:18:39.011599Z",
     "shell.execute_reply.started": "2022-11-01T09:18:38.933039Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ok\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",
    "#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/138_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_北海炼化2022.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(re_ta, fl) \n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be6b6709-a2b0-4c34-aca1-000e1fb45953",
   "metadata": {},
   "source": [
    "### 导出测试成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f70a02f2-934e-43ed-93ff-b34cb732dfc6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-11-01T09:18:42.502192Z",
     "iopub.status.busy": "2022-11-01T09:18:42.501603Z",
     "iopub.status.idle": "2022-11-01T09:18:42.729776Z",
     "shell.execute_reply": "2022-11-01T09:18:42.728671Z",
     "shell.execute_reply.started": "2022-11-01T09:18:42.502143Z"
    },
    "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_北海炼化2022.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "filename = 'data/北海炼化人员_2022.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/北海炼化体测情况表（截至20221101）.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": "84325f89-1408-4d0a-b877-f4b54bcb22ce",
   "metadata": {},
   "source": [
    "### 统计部门测试人员情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c42c5c04-49f3-4b4c-8f77-e37cfa9748f2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-11-01T09:27:40.105525Z",
     "iopub.status.busy": "2022-11-01T09:27:40.104998Z",
     "iopub.status.idle": "2022-11-01T09:27:40.151243Z",
     "shell.execute_reply": "2022-11-01T09:27:40.150059Z",
     "shell.execute_reply.started": "2022-11-01T09:27:40.105476Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ok!\n"
     ]
    }
   ],
   "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/北海炼化人员_2022.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "filename = 'data/result_北海炼化2022.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/北海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": "markdown",
   "id": "5ec595eb-f979-425e-b7eb-9af094ffb43d",
   "metadata": {},
   "source": [
    "### 导入2021年人员信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a9460ee7-1f60-4a3b-a45d-8a1dba04b920",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-10-31T11:54:40.324705Z",
     "iopub.status.busy": "2022-10-31T11:54:40.324184Z",
     "iopub.status.idle": "2022-10-31T11:54:40.626097Z",
     "shell.execute_reply": "2022-10-31T11:54:40.624830Z",
     "shell.execute_reply.started": "2022-10-31T11:54:40.324656Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ok\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import openpyxl\n",
    "\n",
    "filename = 'data/北海炼化人员_2022.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "filename = 'data/all_result.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict2 = json.load(fl)\n",
    "dict3 = {}\n",
    "dict3 = dict2['北海炼化']\n",
    "\n",
    "for k, v in dict1.items():\n",
    "    name = v['name']\n",
    "    birth = v['birth']\n",
    "    for k1, v1 in dict3.items():\n",
    "        if v1['name'] == name and v1['birth'] == birth:\n",
    "            dict1[k]['old_code'] = int(k1)\n",
    "            dict1[k]['record'] = v1['record']\n",
    "    \n",
    "filename = 'data/北海炼化人员_2022.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict1, fl, ensure_ascii=False) \n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a221ef2-0d86-45a7-916e-bce634a57bfe",
   "metadata": {},
   "source": [
    "### 核对2021体测人员"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "61fbd157-f4f0-4c85-98dc-0e79ee99280b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import openpyxl\n",
    "\n",
    "filename = 'data/北海炼化人员_2022.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "list1 = []\n",
    "for k,v in dict1.items():\n",
    "    if 'old_code' in v.keys():\n",
    "        list1.append(v['old_code'])\n",
    "filename = 'data/all_result.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict2 = json.load(fl)\n",
    "dict3 = {}\n",
    "dict3 = dict2['北海炼化']\n",
    "for k, v in dict3.items():\n",
    "    if int(k) not in list1:\n",
    "        print(k,v['name'],v['birth'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6698931-04fb-4dd8-a844-55790cbe3eb9",
   "metadata": {},
   "source": [
    "### 比照人员两年成绩"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "727be8d7-8a4c-4cf4-8139-476f407a31b0",
   "metadata": {},
   "source": [
    "#### 比照两年单项成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d3ca4d45-6a83-4d50-8419-cf8aa9b3aa4c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import openpyxl\n",
    "\n",
    "filename = 'data/北海炼化人员_2022.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "list1 = dict1.keys()\n",
    "items = ['台阶指数']\n",
    "title = ['编号','姓名','部门','22年台阶指数','21年台阶指数']\n",
    "filename = 'data/result_北海炼化2022.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict2 = json.load(fl)\n",
    "list4 = []\n",
    "for k, v in dict2.items():\n",
    "    if k in list1:\n",
    "        list2 = [k,v['name'],v['unit']]\n",
    "        list3 = []\n",
    "        for item in items:\n",
    "            # 获取2022年成绩\n",
    "            if item in v.keys():                \n",
    "                list2.append(v[item]['成绩'].split()[0])             \n",
    "            else:\n",
    "                list2.append('')\n",
    "            # 获取2021年成绩\n",
    "            if 'record' in dict1[k].keys() and item in dict1[k]['record'].keys():\n",
    "                list3.append(dict1[k]['record'][item]['成绩'])             \n",
    "            else:\n",
    "                list3.append('')\n",
    "        for cj in list3:\n",
    "            if cj != '':\n",
    "                list2.append(cj.split()[0])            \n",
    "        \n",
    "        list4.append(list2)\n",
    "filename = 'data/b北海炼化成绩对照221026.xlsx'\n",
    "wb = openpyxl.Workbook()\n",
    "sheet = wb.active\n",
    "sheet.append(title)\n",
    "for row in list4:\n",
    "    sheet.append(row)\n",
    "    \n",
    "wb.save(filename)       "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "70de1be8-e55c-4b7a-bad9-78ad77f199d0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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