513 lines
15 KiB
Plaintext
513 lines
15 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "ce7a7798-b8b7-4564-9e17-3e9c2d4565d8",
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"metadata": {},
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"source": [
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"## 体测人员导入"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "270e8c57-36d3-476c-8c50-4d8bc38a918a",
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"metadata": {},
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"outputs": [],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"from datetime import date\n",
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"\n",
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"wb = openpyxl.load_workbook('data/沧州炼化人员.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"\n",
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"for n in range(2, sheet.max_row+1):\n",
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" code = int(sheet.cell(n, 2).value)\n",
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" person.setdefault(str(code), {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 4).value\n",
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" dict1['sex'] = sheet.cell(n, 5).value\n",
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" dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0] \n",
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" dict1['unit'] = sheet.cell(n, 3).value\n",
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" if sheet.cell(n, 7).value is not None:\n",
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" dict1['phone'] = str(sheet.cell(n, 7).value)\n",
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" person[str(code)] = dict1\n",
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"filename = 'data/沧州炼化人员.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False)\n",
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"print(len(person),'ok')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "6c5f1858-e01e-4cf0-85b1-2019a37c3b37",
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"metadata": {},
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"outputs": [],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"from datetime import date\n",
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"\n",
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"wb = openpyxl.load_workbook('data/沧州炼化人员.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"\n",
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"for n in range(2, sheet.max_row+1):\n",
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" code = sheet.cell(n, 2).value\n",
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" person.setdefault(str(code), {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 4).value\n",
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" dict1['sex'] = sheet.cell(n, 5).value\n",
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" dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0] \n",
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" dict1['unit'] = sheet.cell(n, 3).value\n",
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" if sheet.cell(n, 7).value is not None:\n",
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" dict1['phone'] = str(sheet.cell(n, 7).value)\n",
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" person[str(code)] = dict1\n",
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"filename = 'data/沧州炼化人员.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False)\n",
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"print(len(person),'ok')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "829d9460-a14e-4689-a7c4-d00bbd8c2e32",
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"metadata": {},
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"outputs": [],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"from datetime import date\n",
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"\n",
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"wb = openpyxl.load_workbook('data/沧州炼化人员.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"list1 = []\n",
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"list2 = []\n",
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"for n in range(2, sheet.max_row+1):\n",
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" code = sheet.cell(n, 2).value\n",
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" if code not in list1:\n",
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" list1.append(code)\n",
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" else:\n",
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" list2.append(code)\n",
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"list3 = []\n",
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"for n in range(2, sheet.max_row+1):\n",
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" code = sheet.cell(n, 2).value\n",
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" if code in list2:\n",
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" list4 = [code,sheet.cell(n, 4).value,sheet.cell(n, 3).value]\n",
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" list3.append(list4)\n",
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"print(list3)\n",
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"filename = 'data/沧州炼化编号重复人员.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"\n",
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"for row in list3:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "b4f7023f-127c-4c47-a8e2-78922fbcd975",
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"metadata": {},
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"source": [
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"## 生成读卡系统文件"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7b6c8cb8-50ab-4b59-ac9a-6afb3db61476",
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"\n",
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"filename = 'data/沧州炼化人员.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"list1 = []\n",
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"for k, v in dict1.items():\n",
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" dict2 = {}\n",
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" #if dict1['sex'] =='男':\n",
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" # sex = 1\n",
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" \n",
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" dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':v['unit']}\n",
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" list1.append(dict2)\n",
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"json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n",
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"\n",
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"# 将 json 数据写入文件\n",
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"with open(\"data/card_沧州炼化人员.json\", \"w\",encoding = 'utf-8') as file:\n",
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" file.write(json_data) \n",
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"print(len(list1),'ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "f9ef800a-b760-4933-b7a4-c69edef593d0",
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"metadata": {},
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"source": [
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"## 获取人员测试成绩"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ccb2fe86-c588-4373-85df-37adda55c694",
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"import datetime\n",
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"import csv\n",
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"from datetime import date\n",
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"import my_module1 as My\n",
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"\n",
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"filename = 'data/沧州炼化人员.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"filename = 'data/marks_20251121.csv'\n",
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"re_ta = My.get_result(filename,dict1)\n",
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"\n",
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"\n",
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"filename = 'data/result_沧州炼化.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl, ensure_ascii=False) \n",
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"print(len(re_ta))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "0748c41c-bb8e-49e4-a88d-814928e9b956",
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"metadata": {},
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"source": [
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"## 导入手工数据"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "9054c821-24a6-4ec3-82b4-1af2fbfd5090",
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"metadata": {},
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"outputs": [],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"from datetime import date\n",
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"\n",
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"wb = openpyxl.load_workbook('data/沧州俯卧撑手工成绩.xlsx')\n",
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"sheet = wb.active\n",
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"filename = 'data/result_沧州炼化.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl) \n",
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"\n",
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"for n in range(2, sheet.max_row+1):\n",
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" code = str(sheet.cell(n, 1).value)\n",
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" item = 'pushup'\n",
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" mark = str(sheet.cell(n, 2).value)\n",
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" rq = str(sheet.cell(n, 3).value)\n",
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" if code in dict2.keys():\n",
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" dict2[code]['rq'] = rq\n",
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" dict2[code].setdefault(item,{})\n",
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" dict2[code][item]['成绩'] = mark\n",
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" else:\n",
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" print(code)\n",
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" \n",
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"filename = 'data/result_沧州炼化-1.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict2, fl, ensure_ascii=False) \n",
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"print(len(re_ta)) "
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]
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},
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{
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"cell_type": "markdown",
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"id": "a446935a-db14-41d5-9420-d1a5ddd0e548",
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"metadata": {},
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"source": [
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"## 统计各部门测试情况"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "503c30bb-c537-43f6-b3c7-a1eeff4c313f",
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"\n",
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"filename = 'data/result_沧州炼化.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"\n",
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"filename = 'data/沧州炼化人员.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl)\n",
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"\n",
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"dict3 = {}\n",
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"for k, v in dict2.items():\n",
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" unit = v['unit']\n",
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" #sub_unit = v['sub_unit']\n",
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" dict3.setdefault(unit,{})\n",
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" dict3[unit].setdefault('人数',0)\n",
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" dict3[unit].setdefault('体测人数',0)\n",
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" #dict3[unit].setdefault(sub_unit,0)\n",
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" #dict3[unit][sub_unit] = dict3[unit][sub_unit] + 1\n",
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" dict3[unit]['人数'] = dict3[unit]['人数'] + 1\n",
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"\n",
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"title =['单位','体测人数']\n",
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"list1 = []\n",
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"for k,v in dict1.items(): \n",
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" unit = v['unit']\n",
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" #sub_unit = v['sub_unit']\n",
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" #dict3[unit][sub_unit] = dict3[unit][sub_unit] - 1\n",
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" dict3[unit].setdefault('体测人数',0)\n",
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" dict3[unit]['体测人数'] = dict3[unit]['体测人数'] + 1\n",
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"for k, v in dict3.items():\n",
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" list2 = [k,v['人数'],v['体测人数']]\n",
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" list1.append(list2)\n",
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"\n",
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"filename = 'data/沧州炼化部门测试情况（截至20251114）.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"for row in list1:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "e04d391d-57cb-4ece-a77b-b940950f6717",
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"metadata": {},
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"source": [
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"## 统计未体测人员明细表"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "57de7845-76f2-4cdc-88a9-eb869acb28a5",
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"import openpyxl\n",
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"\n",
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"filename = 'data/result_沧州炼化.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"\n",
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"filename = 'data/沧州炼化人员.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl)\n",
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"\n",
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"list1 = []\n",
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"\n",
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"i = 1\n",
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"for k, v in dict2.items(): \n",
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" if k not in dict1.keys():\n",
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" list2 = [i,k,v['name'],v['unit']]\n",
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" i+=1\n",
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" list1.append(list2)\n",
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"#print(list1)\n",
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"filename = f'data/沧州炼化未测试人员名单（截至20251114）.xlsx'\n",
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"title = ['序号','员工编号','姓名','部门']\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"for row in list1:\n",
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" sheet.append(row) \n",
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"wb.save(filename)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "9d39b9e8-7932-4f99-88da-0becf48d73e0",
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"metadata": {},
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"source": [
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"## 统计体测人员项目数"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c2ca861f-54ca-4312-bf24-20dbc2f3f2e6",
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"\n",
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"filename = 'data/result_沧州炼化-1.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"xm = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
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"for k,v in dict1.items():\n",
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" list1 = []\n",
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" for item in v.keys():\n",
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" if item in xm:\n",
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" list1.append(item)\n",
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" if len(list1) <3:\n",
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" print(k,v['name'],v['unit'],v['phone'],len(list1))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "57a9f492-6971-4572-9e9e-8086a49dc6ce",
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"metadata": {},
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"source": [
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"## 导出测试人员信息"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e014e1f8-e13d-4bb1-a64a-606a3e44a876",
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"import openpyxl\n",
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"\n",
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"items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
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"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",
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"\n",
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"filename = 'data/result_沧州炼化-1.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"\n",
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"filename = 'data/沧州炼化人员.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl)\n",
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" \n",
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"list1 = []\n",
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"for k, v in dict1.items():\n",
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" list2 = []\n",
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" list2.append(str(k).rjust(5,'0'))\n",
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" list2.append(v['name']) \n",
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" list2.append(dict2[k]['sex'])\n",
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" list2.append(dict2[k]['unit'])\n",
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" list2.append(dict2[k]['birth'])\n",
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" if 'phone' in v.keys():\n",
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" list2.append(dict2[k]['phone'])\n",
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" else:\n",
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" list2.append('')\n",
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" \n",
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" if 'bmi' in v.keys():\n",
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" height = v['bmi']['成绩'].split(',')[0]\n",
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" weight = v['bmi']['成绩'].split(',')[1]\n",
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" list2.append(height)\n",
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" list2.append(weight)\n",
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" else:\n",
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" list2.append('')\n",
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" list2.append('')\n",
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" for item in items:\n",
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" if item in v.keys():\n",
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" list2.append(v[item]['成绩']) \n",
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" elif item =='name':\n",
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" list2.append(v[item])\n",
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" else:\n",
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" list2.append('')\n",
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" \n",
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" list1.append(list2)\n",
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"filename = 'data/沧州炼化体测情况表(2025年）-1.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"for row in list1:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename)"
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]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "6465528e-449f-460a-8b14-25bf9182466e",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成测试得分"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "8a6b5e16-d53e-4cb2-8e61-f4ae8e769e46",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"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_沧州炼化-1.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl) \n",
|
||
"for k, v in dict2.items():\n",
|
||
" print(k,v['name'])\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_沧州炼化-1.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
||
"print('ok!') "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "28cfc27d-9904-459a-bb5c-b562dfb36ba6",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3 (ipykernel)",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.12.3"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|