{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ce7a7798-b8b7-4564-9e17-3e9c2d4565d8",
   "metadata": {},
   "source": [
    "## 体测人员导入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "270e8c57-36d3-476c-8c50-4d8bc38a918a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-17T01:38:45.210547Z",
     "iopub.status.busy": "2025-11-17T01:38:45.209877Z",
     "iopub.status.idle": "2025-11-17T01:38:45.422897Z",
     "shell.execute_reply": "2025-11-17T01:38:45.422462Z",
     "shell.execute_reply.started": "2025-11-17T01:38:45.210491Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1295 ok\n"
     ]
    }
   ],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "from datetime import date\n",
    "\n",
    "wb = openpyxl.load_workbook('data/沧州炼化人员.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, 2).value)\n",
    "    person.setdefault(str(code), {})\n",
    "    dict1 = {}\n",
    "    dict1['name'] = sheet.cell(n, 4).value\n",
    "    dict1['sex'] = sheet.cell(n, 5).value\n",
    "    dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0] \n",
    "    dict1['unit'] = sheet.cell(n, 3).value\n",
    "    if sheet.cell(n, 7).value is not None:\n",
    "        dict1['phone'] = str(sheet.cell(n, 7).value)\n",
    "    person[str(code)] = dict1\n",
    "filename = 'data/沧州炼化人员.json'\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(person, fl, ensure_ascii=False)\n",
    "print(len(person),'ok')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6c5f1858-e01e-4cf0-85b1-2019a37c3b37",
   "metadata": {},
   "outputs": [],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "from datetime import date\n",
    "\n",
    "wb = openpyxl.load_workbook('data/沧州炼化人员.xlsx')\n",
    "sheet = wb.active\n",
    "# sheets = wb.sheetnames\n",
    "person = {}\n",
    "\n",
    "for n in range(2, sheet.max_row+1):\n",
    "    code = sheet.cell(n, 2).value\n",
    "    person.setdefault(str(code), {})\n",
    "    dict1 = {}\n",
    "    dict1['name'] = sheet.cell(n, 4).value\n",
    "    dict1['sex'] = sheet.cell(n, 5).value\n",
    "    dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0] \n",
    "    dict1['unit'] = sheet.cell(n, 3).value\n",
    "    if sheet.cell(n, 7).value is not None:\n",
    "        dict1['phone'] = str(sheet.cell(n, 7).value)\n",
    "    person[str(code)] = dict1\n",
    "filename = 'data/沧州炼化人员.json'\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(person, fl, ensure_ascii=False)\n",
    "print(len(person),'ok')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "829d9460-a14e-4689-a7c4-d00bbd8c2e32",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-16T05:42:54.899442Z",
     "iopub.status.busy": "2025-11-16T05:42:54.898753Z",
     "iopub.status.idle": "2025-11-16T05:42:55.048242Z",
     "shell.execute_reply": "2025-11-16T05:42:55.047690Z",
     "shell.execute_reply.started": "2025-11-16T05:42:54.899375Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['1553904', '孙建国', '物资采购中心'], ['1553904', '张巍', '应急救援中心']]\n"
     ]
    }
   ],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "from datetime import date\n",
    "\n",
    "wb = openpyxl.load_workbook('data/沧州炼化人员.xlsx')\n",
    "sheet = wb.active\n",
    "# sheets = wb.sheetnames\n",
    "person = {}\n",
    "list1 = []\n",
    "list2 = []\n",
    "for n in range(2, sheet.max_row+1):\n",
    "    code = sheet.cell(n, 2).value\n",
    "    if code not in list1:\n",
    "        list1.append(code)\n",
    "    else:\n",
    "        list2.append(code)\n",
    "list3 = []\n",
    "for n in range(2, sheet.max_row+1):\n",
    "    code = sheet.cell(n, 2).value\n",
    "    if code in list2:\n",
    "        list4 = [code,sheet.cell(n, 4).value,sheet.cell(n, 3).value]\n",
    "        list3.append(list4)\n",
    "print(list3)\n",
    "filename = 'data/沧州炼化编号重复人员.xlsx'\n",
    "wb = openpyxl.Workbook()\n",
    "sheet = wb.active\n",
    "\n",
    "for row in list3:\n",
    "    sheet.append(row)\n",
    "    \n",
    "wb.save(filename)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4f7023f-127c-4c47-a8e2-78922fbcd975",
   "metadata": {},
   "source": [
    "## 生成读卡系统文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7b6c8cb8-50ab-4b59-ac9a-6afb3db61476",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "filename = 'data/沧州炼化人员.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':v['unit']}\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/card_沧州炼化人员.json\", \"w\",encoding = 'utf-8') as file:\n",
    "    file.write(json_data)   \n",
    "print(len(list1),'ok')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9ef800a-b760-4933-b7a4-c69edef593d0",
   "metadata": {},
   "source": [
    "## 获取人员测试成绩"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ccb2fe86-c588-4373-85df-37adda55c694",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-17T01:44:40.400061Z",
     "iopub.status.busy": "2025-11-17T01:44:40.399563Z",
     "iopub.status.idle": "2025-11-17T01:44:40.476607Z",
     "shell.execute_reply": "2025-11-17T01:44:40.476073Z",
     "shell.execute_reply.started": "2025-11-17T01:44:40.400012Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1225\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import datetime\n",
    "import csv\n",
    "from datetime import date\n",
    "import my_module1 as My\n",
    "\n",
    "filename = 'data/沧州炼化人员.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl) \n",
    "filename = 'data/marks_20251117-1.csv'\n",
    "re_ta = My.get_result(filename,dict1)\n",
    "\n",
    "\n",
    "filename = 'data/result_沧州炼化.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": "0748c41c-bb8e-49e4-a88d-814928e9b956",
   "metadata": {},
   "source": [
    "## 导入手工数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9054c821-24a6-4ec3-82b4-1af2fbfd5090",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-17T01:45:32.893349Z",
     "iopub.status.busy": "2025-11-17T01:45:32.892548Z",
     "iopub.status.idle": "2025-11-17T01:45:32.978502Z",
     "shell.execute_reply": "2025-11-17T01:45:32.977928Z",
     "shell.execute_reply.started": "2025-11-17T01:45:32.893261Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "122\n",
      "123\n",
      "1225\n"
     ]
    }
   ],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "from datetime import date\n",
    "\n",
    "wb = openpyxl.load_workbook('data/沧州俯卧撑手工成绩.xlsx')\n",
    "sheet = wb.active\n",
    "filename = 'data/result_沧州炼化.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict2 = json.load(fl) \n",
    "\n",
    "for n in range(2, sheet.max_row+1):\n",
    "    code = str(sheet.cell(n, 1).value)\n",
    "    item = 'pushup'\n",
    "    mark = str(sheet.cell(n, 2).value)\n",
    "    rq = str(sheet.cell(n, 3).value)\n",
    "    if code in dict2.keys():\n",
    "        dict2[code]['rq'] = rq\n",
    "        dict2[code].setdefault(item,{})\n",
    "        dict2[code][item]['成绩'] = mark\n",
    "    else:\n",
    "        print(code)\n",
    "    \n",
    "filename = 'data/result_沧州炼化-1.json'\n",
    "with open(filename,'w') as fl:\n",
    "    json.dump(dict2, fl, ensure_ascii=False) \n",
    "print(len(re_ta))    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a446935a-db14-41d5-9420-d1a5ddd0e548",
   "metadata": {},
   "source": [
    "## 统计各部门测试情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "503c30bb-c537-43f6-b3c7-a1eeff4c313f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "filename = 'data/result_沧州炼化.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "filename = 'data/沧州炼化人员.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict2 = json.load(fl)\n",
    "\n",
    "dict3 = {}\n",
    "for k, v in dict2.items():\n",
    "    unit = v['unit']\n",
    "    #sub_unit = v['sub_unit']\n",
    "    dict3.setdefault(unit,{})\n",
    "    dict3[unit].setdefault('人数',0)\n",
    "    dict3[unit].setdefault('体测人数',0)\n",
    "    #dict3[unit].setdefault(sub_unit,0)\n",
    "    #dict3[unit][sub_unit] = dict3[unit][sub_unit] + 1\n",
    "    dict3[unit]['人数'] = dict3[unit]['人数'] + 1\n",
    "\n",
    "title =['单位','体测人数']\n",
    "list1 = []\n",
    "for k,v in dict1.items():    \n",
    "    unit = v['unit']\n",
    "    #sub_unit = v['sub_unit']\n",
    "    #dict3[unit][sub_unit] = dict3[unit][sub_unit] - 1\n",
    "    dict3[unit].setdefault('体测人数',0)\n",
    "    dict3[unit]['体测人数'] = dict3[unit]['体测人数'] + 1\n",
    "for k, v in dict3.items():\n",
    "    list2 = [k,v['人数'],v['体测人数']]\n",
    "    list1.append(list2)\n",
    "\n",
    "filename = 'data/沧州炼化部门测试情况（截至20251114）.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": "e04d391d-57cb-4ece-a77b-b940950f6717",
   "metadata": {},
   "source": [
    "## 统计未体测人员明细表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "57de7845-76f2-4cdc-88a9-eb869acb28a5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-17T01:05:50.422689Z",
     "iopub.status.busy": "2025-11-17T01:05:50.421236Z",
     "iopub.status.idle": "2025-11-17T01:05:50.450916Z",
     "shell.execute_reply": "2025-11-17T01:05:50.450368Z",
     "shell.execute_reply.started": "2025-11-17T01:05:50.422616Z"
    }
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import openpyxl\n",
    "\n",
    "filename = 'data/result_沧州炼化.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "filename = 'data/沧州炼化人员.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict2 = json.load(fl)\n",
    "\n",
    "list1 = []\n",
    "\n",
    "i = 1\n",
    "for k, v in dict2.items():    \n",
    "    if k not in dict1.keys():\n",
    "        list2 = [i,k,v['name'],v['unit']]\n",
    "        i+=1\n",
    "        list1.append(list2)\n",
    "#print(list1)\n",
    "filename = f'data/沧州炼化未测试人员名单（截至20251114）.xlsx'\n",
    "title = ['序号','员工编号','姓名','部门']\n",
    "wb = openpyxl.Workbook()\n",
    "sheet = wb.active\n",
    "sheet.append(title)\n",
    "for row in list1:\n",
    "    sheet.append(row)    \n",
    "wb.save(filename)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d39b9e8-7932-4f99-88da-0becf48d73e0",
   "metadata": {},
   "source": [
    "## 统计体测人员项目数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c2ca861f-54ca-4312-bf24-20dbc2f3f2e6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-17T01:46:18.717093Z",
     "iopub.status.busy": "2025-11-17T01:46:18.716407Z",
     "iopub.status.idle": "2025-11-17T01:46:18.735809Z",
     "shell.execute_reply": "2025-11-17T01:46:18.735127Z",
     "shell.execute_reply.started": "2025-11-17T01:46:18.717026Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1553238 齐金永 公用工程部 13231725301 2\n",
      "1552999 赵崇胜 储运部 13722775060 2\n",
      "1553836 王成柱 炼油一部 13111760190 1\n",
      "1553839 徐振柱 炼油一部 17772650508 1\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "\n",
    "filename = 'data/result_沧州炼化-1.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "xm = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
    "for k,v in dict1.items():\n",
    "    list1 = []\n",
    "    for item in v.keys():\n",
    "        if item in xm:\n",
    "            list1.append(item)\n",
    "    if len(list1) <3:\n",
    "        print(k,v['name'],v['unit'],v['phone'],len(list1))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57a9f492-6971-4572-9e9e-8086a49dc6ce",
   "metadata": {},
   "source": [
    "## 导出测试人员信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e014e1f8-e13d-4bb1-a64a-606a3e44a876",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-17T01:46:49.086947Z",
     "iopub.status.busy": "2025-11-17T01:46:49.086254Z",
     "iopub.status.idle": "2025-11-17T01:46:49.440499Z",
     "shell.execute_reply": "2025-11-17T01:46:49.439939Z",
     "shell.execute_reply.started": "2025-11-17T01:46:49.086882Z"
    }
   },
   "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','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",
    "\n",
    "filename = 'data/result_沧州炼化-1.json'\n",
    "with open(filename,'r') as fl:\n",
    "    dict1 = json.load(fl)\n",
    "\n",
    "filename = 'data/沧州炼化人员.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(5,'0'))\n",
    "    list2.append(v['name'])    \n",
    "    list2.append(dict2[k]['sex'])\n",
    "    list2.append(dict2[k]['unit'])\n",
    "    list2.append(dict2[k]['birth'])\n",
    "    if 'phone' in v.keys():\n",
    "        list2.append(dict2[k]['phone'])\n",
    "    else:\n",
    "        list2.append('')\n",
    "    \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/沧州炼化体测情况表(2025年）-1.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": "4042e92b-1d63-489a-9652-3f9f48453db8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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