2767 lines
86 KiB
Plaintext
2767 lines
86 KiB
Plaintext
{
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"cells": [
|
||
{
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||
"cell_type": "markdown",
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||
"id": "92891af2-e909-4b8e-a08a-b5b5e4a1c732",
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||
"metadata": {
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
|
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"# 体质测试2024年"
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]
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},
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{
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"cell_type": "markdown",
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||
"id": "338fb8da-815a-4536-ae91-4f461ba9401f",
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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": "ba24132c-133f-4508-8fe7-e68d1908b6e9",
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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/镇海参加测试人员名单（合并）.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, 1).value)\n",
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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 2).value\n",
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" dict1['sex'] = sheet.cell(n, 3).value\n",
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" dict1['unit'] = sheet.cell(n, 5).value\n",
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" if sheet.cell(n, 6).value is not None:\n",
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" dict1['gh'] = sheet.cell(n, 6).value\n",
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" dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0] \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[code] = dict1\n",
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"filename = 'data/镇海（合并）.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('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": "10ddfd3b-697c-4459-8bed-147b22f88239",
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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": "63ab2d5b-3a0a-4ac7-a3e7-b3a34e621e98",
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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/镇海.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_镇海.json\", \"w\",encoding = 'utf-8') as file:\n",
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" file.write(json_data) \n",
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"print('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": "b6dd08b0-f58c-4dc1-86a9-e7b2b84478c3",
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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": "5d864909-d10f-461d-8e6e-dc5c43613576",
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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 time\n",
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"import csv\n",
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"\n",
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"filename = '../item.json'\n",
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"item = {}\n",
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"unit = {}\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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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/镇海（合并）.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/places_result_20240922.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"#print(list1)\n",
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"for result in list1:\n",
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" user = str(result[2])\n",
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" if user in dict1.keys(): \n",
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" m_item = str(result[3]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex'] \n",
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" re_ta[user]['unit'] = dict1[user]['unit']\n",
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" #re_ta[user]['sub_unit'] = dict1[user]['sub_unit']\n",
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" item_name = item[m_item]['name']\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = int(result[4])/item[m_item]['divisor'] \n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
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"print(len(re_ta))\n",
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"filename = 'data/result_镇海（合并）.json'\n",
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"\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": "a08c6b65-a390-451b-b1a5-fc474db40035",
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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": "bc79f0d2-62a2-40c8-bd74-9c7ff17bec8e",
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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 = ['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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"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_镇海.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/镇海体测人员.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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" 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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" list2.append(dict2[k]['gwxl'])\n",
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" list2.append(dict2[k]['gzz'])\n",
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" list1.append(list2)\n",
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"filename = 'data/镇海体测情况表.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": "0c2dfa71-8680-4ec6-938d-d37eeba4d4f9",
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||
"metadata": {},
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||
"source": [
|
||
"## 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": "cf22739a-5cf3-47fd-b87a-158a2e2d5a95",
|
||
"metadata": {},
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||
"outputs": [],
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||
"source": [
|
||
"import json\n",
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||
"import openpyxl\n",
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"\n",
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||
"filename = 'data/result_镇海.json'\n",
|
||
"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/镇海1.json'\n",
|
||
"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/镇海未测试人员名单（截至20240922）.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",
|
||
"sheet = wb.active\n",
|
||
"sheet.append(title)\n",
|
||
"for row in list1:\n",
|
||
" sheet.append(row) \n",
|
||
"wb.save(filename)"
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||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "286a65eb-995f-4183-a4e5-6d907ba21151",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 清理重复人员"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "f4dade65-f760-4220-8a65-39843688a60a",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
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||
"\n",
|
||
"filename = 'data/镇海.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"print(len(dict1))\n",
|
||
"dict2 = {}\n",
|
||
"for k, v in dict1.items():\n",
|
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" if 'phone' in v.keys():\n",
|
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" dict2.setdefault(k,{})\n",
|
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" dict2[k]['name'] = v['name']\n",
|
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" dict2[k]['phone'] = v['phone']\n",
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"\n",
|
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"list1 = []\n",
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"for k, v in dict2.items():\n",
|
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" i = 0\n",
|
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" for k1, v1 in dict1.items():\n",
|
||
" if v['name']== v1['name'] and v['phone'] == v1['phone'] and k1 != k:\n",
|
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" list1.append(max(int(k),int(k1)))\n",
|
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"for item in set(list1):\n",
|
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" del dict1[str(item)]\n",
|
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"print(len(dict1))\n",
|
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"filename = 'data/镇海1.json'\n",
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"\n",
|
||
"with open(filename,'w') as fl:\n",
|
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" json.dump(dict1, fl, ensure_ascii=False) \n"
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]
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},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "e513b5bb-8a4e-412a-880b-1ae36e059bfd",
|
||
"metadata": {},
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||
"source": [
|
||
"## 转换报告格式"
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]
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||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
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||
"id": "7f038e8d-dd57-4880-8726-6dfa86fbc4a2",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import datetime\n",
|
||
"import csv\n",
|
||
"from datetime import date\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",
|
||
"item['1']['en'] = 'lung'\n",
|
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"item['2']['en'] = 'grip'\n",
|
||
"item['3']['en'] = 'flexion'\n",
|
||
"item['4']['en'] = 'jump'\n",
|
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"item['5']['en'] = 'pushup'\n",
|
||
"item['6']['en'] = 'balance'\n",
|
||
"item['7']['en'] = 'reaction'\n",
|
||
"item['8']['en'] = 'step'\n",
|
||
"item['9']['en'] = 'situp'\n",
|
||
"item['10']['en'] = 'height'\n",
|
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"item['11']['en'] = 'weight'\n",
|
||
"\n",
|
||
"\n",
|
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"re_ta = {}\n",
|
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"dict1 = {}\n",
|
||
"list1 = []\n",
|
||
"filename = 'data/镇海（合并）.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"\n",
|
||
"filename = 'data/places_result_20240922.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",
|
||
"#f_item = ['lung','grip','flexion','jump','balance','reaction','step','situp']\n",
|
||
"#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
|
||
"for result in list1:\n",
|
||
" user = str(result[2])\n",
|
||
" rq = date.fromisoformat(result[6].replace('/','-'))\n",
|
||
" if user in dict1.keys():\n",
|
||
" l_xm = []\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",
|
||
" if dict1[user]['sex'] == '男':\n",
|
||
" l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
|
||
" else:\n",
|
||
" l_xm = ['weight','height','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
|
||
" re_ta[user]['unit'] = dict1[user]['unit']\n",
|
||
" #birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
|
||
" birth = date.fromisoformat(dict1[user]['birth'])\n",
|
||
" #nian = int(birth[0].strip())\n",
|
||
" #yue = int(birth[1].strip())\n",
|
||
" #ri = int(birth[2].strip())\n",
|
||
" #print(k,nian,yue,ri)\n",
|
||
" item_name = item[m_item]['en'] \n",
|
||
" if item_name in l_xm: \n",
|
||
" days = (rq-birth).days \n",
|
||
" re_ta[user]['age'] = int(days/365)\n",
|
||
" re_ta[user]['month'] = int(days/365*12)\n",
|
||
" re_ta[user]['rq'] = result[6]\n",
|
||
"\n",
|
||
"\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_镇海（合并）.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": "de2eec6d-a74e-47e1-ab7a-c7f6eda80a20",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成完善得分"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "763aa68a-da54-4745-a759-4399aba10f7e",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import time\n",
|
||
"\n",
|
||
"filename = '../item.json'\n",
|
||
"item = {}\n",
|
||
"unit = {}\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict3 = json.load(fl) \n",
|
||
"for k,v in dict3.items():\n",
|
||
" item[k] = v\n",
|
||
"item['1']['en'] = 'lung'\n",
|
||
"item['2']['en'] = 'grip'\n",
|
||
"item['3']['en'] = 'flexion'\n",
|
||
"item['4']['en'] = 'jump'\n",
|
||
"item['5']['en'] = 'pushup'\n",
|
||
"item['6']['en'] = 'balance'\n",
|
||
"item['7']['en'] = 'reaction'\n",
|
||
"item['8']['en'] = 'step'\n",
|
||
"item['9']['en'] = 'situp'\n",
|
||
"item['10']['en'] = 'height'\n",
|
||
"item['11']['en'] = 'weight'\n",
|
||
"\n",
|
||
"filename = 'data/体质检测标准 (1).json' \n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"def cal_score(data1):\n",
|
||
" #data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46} \n",
|
||
" person = dict1['person']\n",
|
||
" criteria = dict1['criteria']\n",
|
||
" if data1['age'] >59:\n",
|
||
" data1['age'] = 59\n",
|
||
" if data1['age'] <20:\n",
|
||
" data1['age'] = 20\n",
|
||
" info = data1['sex']+str(data1['age'])\n",
|
||
" bz = person[info]\n",
|
||
" mx = criteria[bz][data1['item']]\n",
|
||
" result = data1['result'] \n",
|
||
" if data1['item'] == 'reaction':\n",
|
||
" for bz1 in mx:\n",
|
||
" if result > bz1:\n",
|
||
" #print(bz1)\n",
|
||
" score = mx.index(bz1,0)\n",
|
||
" break\n",
|
||
" else:\n",
|
||
" score = 5\n",
|
||
" else:\n",
|
||
" for bz1 in mx:\n",
|
||
" if result < bz1:\n",
|
||
" #print(bz1)\n",
|
||
" score = mx.index(bz1,0)\n",
|
||
" break\n",
|
||
" else:\n",
|
||
" score = 5\n",
|
||
" return(score)\n",
|
||
"filename = 'data/体质检测标准_BMI.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict4 = json.load(fl) \n",
|
||
" \n",
|
||
"def cal_bmi(data1):\n",
|
||
" # data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}\n",
|
||
" person = dict4['person']\n",
|
||
" criteria = dict4['criteria']\n",
|
||
" if data1['age'] > 59:\n",
|
||
" data1['age'] = 59\n",
|
||
" if data1['age'] <20:\n",
|
||
" data1['age'] = 20\n",
|
||
" info = data1['sex']+str(data1['age'])\n",
|
||
" bz = person[info]\n",
|
||
" #print(bz)\n",
|
||
" result = data1['result']\n",
|
||
" #print(data1['code'],result)\n",
|
||
" height = int(float(result.split(',')[0]))\n",
|
||
" weight = float(result.split(',')[1])\n",
|
||
" if str(height) not in criteria[bz]:\n",
|
||
" score = 1\n",
|
||
" else: \n",
|
||
" mx = criteria[bz][str(height)]\n",
|
||
" if weight < mx[0]:\n",
|
||
" score = 1\n",
|
||
" elif weight < mx[1]:\n",
|
||
" score = 3\n",
|
||
" elif weight < mx[2]:\n",
|
||
" score = 5 \n",
|
||
" elif weight <= mx[3]:\n",
|
||
" score = 3 \n",
|
||
" elif weight > mx[3]:\n",
|
||
" score = 1\n",
|
||
" return score\n",
|
||
" \n",
|
||
" \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_镇海（合并）.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl) \n",
|
||
"for k, v in dict2.items():\n",
|
||
" #print(k)\n",
|
||
" if v['sex'] == '男':\n",
|
||
" sex = 'M'\n",
|
||
" else:\n",
|
||
" sex = 'F' \n",
|
||
" if 'height' in v.keys() and 'weight' in v.keys():\n",
|
||
" bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\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'] = 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",
|
||
" dict2[k][item_en]['score'] = cal_score(data1)\n",
|
||
" #print(k,v[item_en]['成绩'],cal_score(data1))\n",
|
||
"\n",
|
||
"filename = f'data/result_镇海（合并）.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
||
"print('ok!') "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "bb0f8c6f-5088-4c4d-a253-9c207745ef25",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成体测成绩明细表"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "5cff3c83-b3cb-4c69-97a9-82e523374f6b",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
|
||
"bmi = ['height','weight']\n",
|
||
"title = ['编号','姓名','性别','单位/部门','身高','体重','bmi','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_镇海（合并）.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"list1 = []\n",
|
||
"for k, v in dict1.items(): #print(k,dict2[str(k)]['name'])\n",
|
||
" list2 = []\n",
|
||
" list2.append(str(k).rjust(5,'0'))\n",
|
||
" list2.append(dict1[k]['name']) \n",
|
||
" list2.append(dict1[k]['sex'])\n",
|
||
" list2.append(dict1[k]['unit'])\n",
|
||
" i = 0\n",
|
||
" if 'bmi' in dict1[k].keys():\n",
|
||
" list2.append(dict1[k]['height']['成绩'])\n",
|
||
" list2.append(dict1[k]['weight']['成绩'])\n",
|
||
" list2.append(dict1[k]['bmi']['score'])\n",
|
||
" i+=1\n",
|
||
" else:\n",
|
||
" list2.append('') \n",
|
||
" list2.append('') \n",
|
||
" list2.append('') \n",
|
||
" \n",
|
||
" \n",
|
||
" for item in items:\n",
|
||
" if item in dict1[k].keys():\n",
|
||
" list2.append(dict1[k][item]['成绩'])\n",
|
||
" list2.append(dict1[k][item]['score']) \n",
|
||
" i+=1\n",
|
||
" elif item =='name':\n",
|
||
" list2.append(dict1[k][item])\n",
|
||
" else:\n",
|
||
" list2.append('') \n",
|
||
" list2.append('') \n",
|
||
" if i>2:\n",
|
||
" list1.append(list2)\n",
|
||
"filename = 'data/镇海体测情况明细表.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": "723ae3d7-ec16-4dc6-91e2-eeeea6ffe081",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成报告"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "90faac13-492d-4b3d-bb21-c228af6d9864",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import requests\n",
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"\n",
|
||
"headers = {\n",
|
||
" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
|
||
" }\n",
|
||
"filename = 'data/result_镇海（合并）.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"list1 = []\n",
|
||
"file_path ='./镇海石化/'\n",
|
||
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
|
||
"i=0\n",
|
||
"list2 = []\n",
|
||
"for k, v in dict1.items():\n",
|
||
" list1 = []\n",
|
||
" mydata = {}\n",
|
||
" \n",
|
||
" id = str(k).rjust(4,\"0\")\n",
|
||
" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
|
||
" mydata['title'] = '中国石化镇海炼化公司'\n",
|
||
" mydata['subtitle'] = v['unit']\n",
|
||
" mydata['id'] = id\n",
|
||
" mydata['name'] = v['name']\n",
|
||
" if v['sex'] == '男':\n",
|
||
" mydata['gender'] = 'male'\n",
|
||
" else:\n",
|
||
" mydata['gender'] = 'female'\n",
|
||
" \n",
|
||
" mydata['month'] = v['month']\n",
|
||
" mydata['fits'] = {}\n",
|
||
" survey_list = ['tcm','psy','spine']\n",
|
||
" for item in survey_list:\n",
|
||
" if item in v.keys():\n",
|
||
" mydata.setdefault('surveys',{})\n",
|
||
" mydata['surveys'][item] = v[item]\n",
|
||
" \n",
|
||
" \n",
|
||
" #mydata['fits'] = {}\n",
|
||
" for item in list_item:\n",
|
||
" if item in v.keys():\n",
|
||
" mydata.setdefault('fits',{})\n",
|
||
" if item in ['lung','pushup','step','situp']:\n",
|
||
" mark = v[item]['成绩'].split()[0].split('.')[0]\n",
|
||
" else:\n",
|
||
" mark = v[item]['成绩'].split()[0]\n",
|
||
" mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
|
||
" #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n",
|
||
" if len(mydata['fits']) >2 : \n",
|
||
" list1.append(mydata)\n",
|
||
" list2.append([k,v['name']])\n",
|
||
" i+=1\n",
|
||
" x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n",
|
||
" #print(id,v['name'],x.text)\n",
|
||
" #print(mydata)\n",
|
||
" #x.close()\n",
|
||
"print(i)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "82c1eaea-89ad-444a-8dad-07f438c739cc",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 统计报告人员信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "61c731bc-6117-4a9f-8bfa-66f820e49fc4",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import glob\n",
|
||
"from pathlib import Path\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"filename = 'data/镇海.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"fi_path = '/home/songyi/python/mycrm/flask/pdf/files/345321'\n",
|
||
"fls = glob.glob(f'{fi_path}/*.pdf')\n",
|
||
"dict2 = {}\n",
|
||
"for fn in fls:\n",
|
||
" \n",
|
||
" fi_name =Path(fn).stem.split('-')[0]\n",
|
||
" #fi_name =Path(fn).stem\n",
|
||
" code = int(fi_name)\n",
|
||
" dict2[str(code)] = dict1[str(code)]\n",
|
||
"filename = 'data/镇海体测人员.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
||
"print(len(dict2)) \n",
|
||
"list1 = []\n",
|
||
"for k, v in dict2.items(): \n",
|
||
" list2 = []\n",
|
||
" if 'gh' in v.keys():\n",
|
||
" gh = v['gh']\n",
|
||
" else:\n",
|
||
" gh = ''\n",
|
||
" if 'phone' in v.keys():\n",
|
||
" phone = v['phone']\n",
|
||
" else:\n",
|
||
" phone = ''\n",
|
||
" list2 = [k,v['name'],v['sex'],v['birth'],v['unit'],gh,phone]\n",
|
||
" list1.append(list2)\n",
|
||
"#print(list1)\n",
|
||
"filename = 'data/镇海参加测试人员名单.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": "fc0f353c-1021-4c8c-bb7c-7a4abb609836",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 补充报告人员信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "fa963fb6-b47d-4b75-9109-6cda89218182",
|
||
"metadata": {
|
||
"scrolled": true
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import glob\n",
|
||
"from pathlib import Path\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"\n",
|
||
"filename = 'data/镇海体测人员.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"wb = openpyxl.load_workbook('data/镇海炼化参加测试人员名单（分析用）.xlsx')\n",
|
||
"sheet = wb.active\n",
|
||
"for n in range(2, sheet.max_row+1):\n",
|
||
" if sheet.cell(n, 12).value is not None:\n",
|
||
" code = int(sheet.cell(n, 1).value)\n",
|
||
" if sheet.cell(n, 12).value is not None:\n",
|
||
" dict1[str(code)]['gwlb'] = sheet.cell(n, 12).value\n",
|
||
" dict1[str(code)]['gwxl'] = sheet.cell(n, 9).value\n",
|
||
" dict1[str(code)]['gzz'] = sheet.cell(n, 11).value\n",
|
||
"\n",
|
||
"with open(filename, 'w') as fl:\n",
|
||
" json.dump(dict1, fl, ensure_ascii=False) \n",
|
||
"print('ok!') \n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "385285b8-fdb3-421d-afbf-c13e4f55bb46",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 核验报告人员信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "c6195bc3-64bc-4f52-8ebc-ba16fd222f85",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import json\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"wb = openpyxl.load_workbook('data/镇海炼化参加测试人员名单.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, 1).value)\n",
|
||
" person.setdefault(code, {})\n",
|
||
" dict1 = {}\n",
|
||
" dict1['name'] = sheet.cell(n, 2).value\n",
|
||
" dict1['sex'] = sheet.cell(n, 3).value\n",
|
||
" dict1['unit'] = sheet.cell(n, 5).value\n",
|
||
" if sheet.cell(n, 6).value is not None:\n",
|
||
" dict1['gh'] = sheet.cell(n, 6).value\n",
|
||
" dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0] \n",
|
||
" if sheet.cell(n, 7).value is not None:\n",
|
||
" dict1['phone'] = str(sheet.cell(n,7).value)\n",
|
||
" if len(str(sheet.cell(n,7).value))<11:\n",
|
||
" print(code,sheet.cell(n, 2).value)\n",
|
||
" person[code] = dict1\n",
|
||
"filename = 'data/镇海炼化参加测试人员.json'\n",
|
||
"with open(filename, 'w') as fl:\n",
|
||
" json.dump(person, fl, ensure_ascii=False)\n",
|
||
"print(len(person))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "7e551660-e85f-4da2-8224-042784033ed5",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成查询信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "299c1d41-7634-4703-8411-08f175df4e16",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import os,sys,shutil\n",
|
||
"import json\n",
|
||
"import math\n",
|
||
"import glob\n",
|
||
"import random\n",
|
||
"from pathlib import Path\n",
|
||
"import pymongo\n",
|
||
"\n",
|
||
"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
|
||
"mydb = myclient[\"baogao\"]\n",
|
||
"mycol = mydb[\"pdf\"]\n",
|
||
"\n",
|
||
"place_id = 345321\n",
|
||
"\n",
|
||
"fi_path = '/home/songyi/python/mycrm/flask/pdf/files'\n",
|
||
"fls = glob.glob(f'{fi_path}/{str(place_id)}/*.pdf')\n",
|
||
"\n",
|
||
"filename = 'data/镇海炼化参加测试人员.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"for fn in fls:\n",
|
||
" dict2 = {}\n",
|
||
" fi_name =Path(fn).stem.split('-')[0]\n",
|
||
" #fi_name =Path(fn).stem\n",
|
||
" code = int(fi_name)\n",
|
||
" dxm = dict1[str(code)]['gh']\n",
|
||
" dict2 = {'place_id':place_id,'code':dxm,'fn':Path(fn).name}\n",
|
||
" list2.append(dict2)\n",
|
||
" i +=1\n",
|
||
"x = mycol.insert_many(list2)\n",
|
||
"print('ok') "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "e923022e-aef7-4c8e-84f9-b853e53ff820",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 根据工号生成查询信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "f709fd4a-d0b0-44a9-a782-0c1ffd43f6b8",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"filename = 'data/镇海炼化参加测试人员.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"list1 = []\n",
|
||
"list2 = []\n",
|
||
"set1 = set()\n",
|
||
"for k, v in dict1.items():\n",
|
||
" if 'gh' in v.keys():\n",
|
||
" gh = v['gh']\n",
|
||
" if gh not in list1:\n",
|
||
" list1.append(v['gh'])\n",
|
||
" else:\n",
|
||
" list2.append(gh)\n",
|
||
"print(list2)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "d9464f81-9228-403a-9d78-090fb4ce0faa",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 体测报告按部门分类"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "7eac364f-0fde-4853-9d2b-8c4c0c59a341",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import os,sys,shutil\n",
|
||
"import json\n",
|
||
"import glob\n",
|
||
"from pathlib import Path\n",
|
||
"\n",
|
||
"fi_path = '/home/songyi/pdf-typescript/镇海石化'\n",
|
||
"new_path = 'file/镇海石化'\n",
|
||
"old = []\n",
|
||
"dict2 = {}\n",
|
||
"\n",
|
||
"filename = 'data/镇海炼化参加测试人员.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"fls = glob.glob(f'{fi_path}/*.pdf')\n",
|
||
"for fn in fls:\n",
|
||
" fi_name =Path(fn).stem.split('-')[0]\n",
|
||
" code = int(fi_name)\n",
|
||
" unit_path = Path(new_path,dict1[str(code)]['unit'])\n",
|
||
" unit_path.mkdir(parents = True, exist_ok = True)\n",
|
||
" n_name = Path(unit_path,Path(fn).stem+'.pdf')\n",
|
||
" if not os.path.exists(n_name):\n",
|
||
" shutil.copyfile(fn,n_name)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "d7bb270c-cc9e-413b-af36-17c33692e289",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成体测报告打印明细表"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "d88bd5c4-1df3-457b-b65d-61692c45e7bd",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import os,sys,shutil\n",
|
||
"import json\n",
|
||
"import glob\n",
|
||
"from pathlib import Path\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"fi_path = '/home/songyi/pdf-typescript/镇海石化'\n",
|
||
"\n",
|
||
"filename = 'data/镇海炼化参加测试人员.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"fls = glob.glob(f'{fi_path}/*.pdf')\n",
|
||
"list1 = []\n",
|
||
"title = ['测试编号','姓名','性别','部门']\n",
|
||
"for fn in fls:\n",
|
||
" list2 = []\n",
|
||
" fi_name =Path(fn).stem.split('-')[0] \n",
|
||
" code = int(fi_name)\n",
|
||
" sex = dict1[str(code)]['sex']\n",
|
||
" unit = dict1[str(code)]['unit']\n",
|
||
" list2 = [fi_name,Path(fn).stem.split('-')[1],sex,unit]\n",
|
||
" \n",
|
||
" list1.append(list2)\n",
|
||
"\n",
|
||
"filename = 'data/镇海石化体测报告明细表.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": "6b521daf-f9dc-4579-9400-d8ab857bb166",
|
||
"metadata": {
|
||
"jp-MarkdownHeadingCollapsed": true
|
||
},
|
||
"source": [
|
||
"# 体质测试综合报告数据分析"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "83203d08-46ca-45f6-8204-0c8e35f754b6",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 清理报告数据"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "cccc2e43-7a73-48ec-8540-06b4d59f8ceb",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"\n",
|
||
"filename = 'data/result_镇海（合并）.json'\n",
|
||
"with open(filename,'r',encoding = 'utf-8') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\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",
|
||
"items = {}\n",
|
||
"items['lung'] = '肺活量'\n",
|
||
"items['grip'] ='握力'\n",
|
||
"items['flexion'] ='坐位体前屈'\n",
|
||
"items['jump'] ='纵跳'\n",
|
||
"items['pushup'] ='俯卧撑'\n",
|
||
"items['balance'] ='单脚站立'\n",
|
||
"items['reaction'] ='选择反应时'\n",
|
||
"items['step'] ='台阶指数'\n",
|
||
"items['situp'] ='一分钟仰卧起坐'\n",
|
||
"items['bmi'] ='BMI'\n",
|
||
"\n",
|
||
"\n",
|
||
"list1 = []\n",
|
||
"#fiie_path ='./138/'\n",
|
||
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
|
||
"i=1\n",
|
||
"list2 = []\n",
|
||
"dict2 = {}\n",
|
||
"for k, v in dict1.items():\n",
|
||
" list1 = []\n",
|
||
" mydata = {}\n",
|
||
" \n",
|
||
" id = str(k).rjust(8,\"0\")\n",
|
||
" mydata['unit'] = v['unit']\n",
|
||
" mydata['name'] = v['name']\n",
|
||
" mydata['sex'] = v['sex']\n",
|
||
" mydata['month'] = v['month']\n",
|
||
" age = int(v['month']/12)\n",
|
||
" if age <20:\n",
|
||
" mydata['age'] = 20\n",
|
||
" else:\n",
|
||
" mydata['age'] = int(v['month']/12)\n",
|
||
" \n",
|
||
" mydata['fits'] = {}\n",
|
||
" score = 0\n",
|
||
" for item in list_item:\n",
|
||
" if item in v.keys():\n",
|
||
" if item in ['lung','pushup','step','situp']:\n",
|
||
" mark = v[item]['成绩'].split()[0].split('.')[0]\n",
|
||
" else:\n",
|
||
" mark = v[item]['成绩'].split()[0]\n",
|
||
" mydata['fits'][items[item]] = {'mark':mark,'score':v[item]['score']}\n",
|
||
" score = score + v[item]['score']\n",
|
||
" mydata['score'] = round(score/len(mydata['fits']),2)\n",
|
||
" if len(mydata['fits']) >2:\n",
|
||
" dict2[str(k)] = mydata\n",
|
||
"filename = f'data/data_镇海（合并）.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
||
"print('ok!') "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "1c0bca93-d8a7-42ba-9a2c-50d3493c802f",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 报告按照工作制分类"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "a550ecd7-da8e-41b6-8b8f-8bc144d48bfe",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"\n",
|
||
"filename = 'data/result_镇海2.json'\n",
|
||
"with open(filename,'r',encoding = 'utf-8') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"filename = 'data/镇海体测人员.json'\n",
|
||
"with open(filename,'r',encoding = 'utf-8') as fl:\n",
|
||
" dict3 = json.load(fl)\n",
|
||
"\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",
|
||
"items = {}\n",
|
||
"items['lung'] = '肺活量'\n",
|
||
"items['grip'] ='握力'\n",
|
||
"items['flexion'] ='坐位体前屈'\n",
|
||
"items['jump'] ='纵跳'\n",
|
||
"items['pushup'] ='俯卧撑'\n",
|
||
"items['balance'] ='单脚站立'\n",
|
||
"items['reaction'] ='选择反应时'\n",
|
||
"items['step'] ='台阶指数'\n",
|
||
"items['situp'] ='一分钟仰卧起坐'\n",
|
||
"items['bmi'] ='BMI'\n",
|
||
"\n",
|
||
"\n",
|
||
"list1 = []\n",
|
||
"#fiie_path ='./138/'\n",
|
||
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
|
||
"i=1\n",
|
||
"list2 = []\n",
|
||
"dict2 = {}\n",
|
||
"for k, v in dict1.items():\n",
|
||
" if dict3[k]['gzz'] == '倒班':\n",
|
||
" list1 = []\n",
|
||
" mydata = {}\n",
|
||
" \n",
|
||
" id = str(k).rjust(8,\"0\")\n",
|
||
" mydata['unit'] = v['unit']\n",
|
||
" mydata['name'] = v['name']\n",
|
||
" mydata['sex'] = v['sex']\n",
|
||
" mydata['month'] = v['month']\n",
|
||
" age = int(v['month']/12)\n",
|
||
" if age <20:\n",
|
||
" mydata['age'] = 20\n",
|
||
" else:\n",
|
||
" mydata['age'] = int(v['month']/12)\n",
|
||
" \n",
|
||
" mydata['fits'] = {}\n",
|
||
" score = 0\n",
|
||
" for item in list_item:\n",
|
||
" if item in v.keys():\n",
|
||
" if item in ['lung','pushup','step','situp']:\n",
|
||
" mark = v[item]['成绩'].split()[0].split('.')[0]\n",
|
||
" else:\n",
|
||
" mark = v[item]['成绩'].split()[0]\n",
|
||
" mydata['fits'][items[item]] = {'mark':mark,'score':v[item]['score']}\n",
|
||
" score = score + v[item]['score']\n",
|
||
" mydata['score'] = round(score/len(mydata['fits']),2)\n",
|
||
" if len(mydata['fits']) >2:\n",
|
||
" dict2[str(k)] = mydata\n",
|
||
"filename = f'data/data_镇海_倒班.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
||
"print(len(dict2)) "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "c3bcd7ec-1d66-40c6-a27d-1c73e6eef695",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 计算平均成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "d5721244-b5f5-4577-bae8-2e6c5bd8e4da",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
|
||
"filename = 'data/data_镇海（合并）.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"i = 1\n",
|
||
"m = 0\n",
|
||
"f = 0\n",
|
||
"score = 0\n",
|
||
"t_score = 0\n",
|
||
"for k,v in dict1.items():\n",
|
||
" if v['sex'] == '男':\n",
|
||
" m = m +1\n",
|
||
" score = score+v['score']\n",
|
||
"print(f'平均成绩：{round(score/m,4)}分，男性：{m}人')\n",
|
||
"t_score = t_score + score\n",
|
||
"score = 0\n",
|
||
"for k,v in dict1.items():\n",
|
||
" if v['sex'] == '女':\n",
|
||
" f = f +1\n",
|
||
" score = score+v['score']\n",
|
||
"print(f'平均成绩：{round(score/f,4)}分，女性：{f}人')\n",
|
||
"t_score = t_score + score\n",
|
||
"print(f'平均成绩：{round(t_score/(f+m),4)}分，总体：{(f+m)}人')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "a7ba7d25-b7a0-4641-a218-b4569d31acb1",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 计算测试等级"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "cff50f06-3221-4340-950f-3a24073b8565",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\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",
|
||
"\n",
|
||
"#filename = 'data/data_长炼医院.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"dict2 = {}\n",
|
||
"dict2['不合格'] = [0,255]\n",
|
||
"dict2['合格'] = [256,332]\n",
|
||
"dict2['良好'] = [333,367]\n",
|
||
"dict2['优秀'] = [368,500]\n",
|
||
"\n",
|
||
"for k1, v1 in dict2.items():\n",
|
||
" di = v1[0]\n",
|
||
" gao = v1[1]\n",
|
||
" i = 0 \n",
|
||
" m = 0\n",
|
||
" f = 0\n",
|
||
" for k,v in dict1.items():\n",
|
||
" if int(v['score']*100) in range(di,gao+1):\n",
|
||
" dict1[k]['level'] = k1\n",
|
||
" i+=1\n",
|
||
" if v['sex'] == '男':\n",
|
||
" m = m +1\n",
|
||
" else:\n",
|
||
" f = f+1\n",
|
||
" print(f'{di}~{gao}分人数：{i}人,男性：{m}人,女性:{f}人')\n",
|
||
"print(len(dict1))\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict1, fl) \n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "16a0d09b-2128-4df4-9745-954f48384244",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 计算各年龄段测试等级(女）"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "6baf0ff2-cdfa-4396-bcf8-3e23a18670dc",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
|
||
"\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"dict2 = {}\n",
|
||
"dict2['不合格'] = [0,255]\n",
|
||
"dict2['合格'] = [256,332]\n",
|
||
"dict2['良好'] = [333,367]\n",
|
||
"dict2['优秀'] = [368,500]\n",
|
||
"dict3 = {}\n",
|
||
"for item in nld:\n",
|
||
" di = item[0]\n",
|
||
" gao = item[1]\n",
|
||
" age = f'{di}-{gao}'\n",
|
||
" dict3.setdefault(age,{})\n",
|
||
" i = 0 \n",
|
||
" m = 0\n",
|
||
" f = 0\n",
|
||
" for k,v in dict1.items():\n",
|
||
" if v['age'] in range(di,gao+1): \n",
|
||
" dict3[age].setdefault(v['level'],0)\n",
|
||
" if v['sex'] == '女':\n",
|
||
" dict3[age][v['level']] = dict3[age][v['level']]+1\n",
|
||
" \n",
|
||
"for k, v in dict3.items():\n",
|
||
" print(k,v)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "79fb3eab-e8d4-42bb-9ba4-8402f3b82b54",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 计算各年龄段测试等级(男）"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "2979cf80-5268-4754-ab8a-11a539315e92",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
|
||
"\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"dict2 = {}\n",
|
||
"dict2['不合格'] = [0,255]\n",
|
||
"dict2['合格'] = [256,332]\n",
|
||
"dict2['良好'] = [333,367]\n",
|
||
"dict2['优秀'] = [368,500]\n",
|
||
"dict3 = {}\n",
|
||
"for item in nld:\n",
|
||
" di = item[0]\n",
|
||
" gao = item[1]\n",
|
||
" age = f'{di}-{gao}'\n",
|
||
" dict3.setdefault(age,{})\n",
|
||
" i = 0 \n",
|
||
" m = 0\n",
|
||
" f = 0\n",
|
||
" for k,v in dict1.items():\n",
|
||
" if v['age'] in range(di,gao+1): \n",
|
||
" dict3[age].setdefault(v['level'],0)\n",
|
||
" if v['sex'] == '男':\n",
|
||
" dict3[age][v['level']] = dict3[age][v['level']]+1\n",
|
||
" \n",
|
||
"for k, v in dict3.items():\n",
|
||
" print(k,v)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "9a38fc15-579c-42e9-a23c-1050a96e0cf8",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 根据年龄汇总人员信息及成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "8a7cb3b0-d7be-44ac-a1ec-40bdcf29e83b",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"nld = [[16,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,69]]\n",
|
||
"\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"for item in nld:\n",
|
||
" di = item[0]\n",
|
||
" gao = item[1]\n",
|
||
" i = 0\n",
|
||
" score = 0\n",
|
||
" m = 0\n",
|
||
" f = 0\n",
|
||
" for k,v in dict1.items():\n",
|
||
" if v['age'] in range(di,gao+1):\n",
|
||
" score = score+v['score']\n",
|
||
" i+=1\n",
|
||
" if v['sex'] == '男':\n",
|
||
" m = m +1\n",
|
||
" if i ==0:\n",
|
||
" print(f'{di}~{gao}岁平均成绩：0分，人数：0人,男性：{m}人')\n",
|
||
" else:\n",
|
||
" print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人,男性：{m}人')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "48debe3b-d0ec-41e8-93ef-921b8e013aa7",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 根据年龄汇总人员信息及成绩（男）"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "c5bb03ca-b7ee-4564-b425-8513e1bff081",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"\n",
|
||
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
|
||
"\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"for item in nld:\n",
|
||
" di = item[0]\n",
|
||
" gao = item[1]\n",
|
||
" i = 0\n",
|
||
" score = 0\n",
|
||
" m = 0\n",
|
||
" f = 0\n",
|
||
" for k,v in dict1.items():\n",
|
||
" if v['age'] in range(di,gao+1) and v['sex'] == '男':\n",
|
||
" score = score+v['score']\n",
|
||
" i+=1\n",
|
||
" if i ==0:\n",
|
||
" print(f'{di}~{gao}岁平均成绩：0分，人数：{i}人') \n",
|
||
" else:\n",
|
||
" print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "92bb0683-81ea-4b90-8b74-4a2f43b4835c",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 根据年龄汇总人员信息及成绩（女）"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "bf333998-230c-4365-aadc-b0d1be073b39",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
|
||
"\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"for item in nld:\n",
|
||
" di = item[0]\n",
|
||
" gao = item[1]\n",
|
||
" i = 0\n",
|
||
" score = 0\n",
|
||
" m = 0\n",
|
||
" f = 0\n",
|
||
" for k,v in dict1.items():\n",
|
||
" if v['age'] in range(di,gao+1) and v['sex'] == '女':\n",
|
||
" score = score+v['score']\n",
|
||
" i+=1\n",
|
||
" if i ==0:\n",
|
||
" print(f'{di}~{gao}岁平均成绩：0分，人数：{i}人') \n",
|
||
" else:\n",
|
||
" print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "026d11e4-7f3d-4be5-9fa0-fa3699969c6b",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 计算各项目成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "352c6c29-8929-4210-84c5-8dbc3d5ffeee",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"items = ['BMI','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",
|
||
"for item in items:\n",
|
||
" score = 0\n",
|
||
" n = 0\n",
|
||
" for k, v in dict1.items(): \n",
|
||
" if item in v['fits'].keys():\n",
|
||
" n = n + 1\n",
|
||
" score =score + int(v['fits'][item]['score'])\n",
|
||
" print(item,round(score/n,2),n)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "a13d5644-7cd1-4943-bce9-c6863f75b986",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 按照部门计算平均成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "97f5a1cf-341e-4b99-9549-b6a3fb165849",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"depart = []\n",
|
||
"for k, v in dict1.items():\n",
|
||
" if v['unit'] not in depart:\n",
|
||
" depart.append(v['unit'])\n",
|
||
"\n",
|
||
"for item in depart:\n",
|
||
" score = 0\n",
|
||
" n = 0\n",
|
||
" for k, v in dict1.items():\n",
|
||
" if item == v['unit']:\n",
|
||
" score = score + v['score']\n",
|
||
" n = n +1\n",
|
||
" if n>0:\n",
|
||
" print(item,round(score/n,2),n)\n",
|
||
" else:\n",
|
||
" print(item,0,n)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "85b3a695-86db-4aec-95f4-33f3b628e548",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 按照部门计算平均成绩（男性）"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "3beaab27-ca90-4e09-b2d2-590fd7bac51d",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"depart = []\n",
|
||
"for k, v in dict1.items():\n",
|
||
" if v['unit'] not in depart:\n",
|
||
" depart.append(v['unit'])\n",
|
||
"\n",
|
||
"for item in depart:\n",
|
||
" score = 0\n",
|
||
" n = 0\n",
|
||
" for k, v in dict1.items():\n",
|
||
" if item == v['unit'] and v['sex'] == '男':\n",
|
||
" score = score + v['score']\n",
|
||
" n = n +1 \n",
|
||
" if n>0:\n",
|
||
" print(item,round(score/n,2),n)\n",
|
||
" else:\n",
|
||
" print(item,0,n)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "d8e995d6-3ddb-4b92-8255-530e8a3da179",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 计算部门成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "a959c1b8-86fc-4fca-8595-4278135e95b8",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"\n",
|
||
"items = ['BMI','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/data_镇海（合并）.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/镇海（合并）.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl)\n",
|
||
"dict3 = {}\n",
|
||
"\n",
|
||
"for k, v in dict1.items():\n",
|
||
" unit = v['unit']\n",
|
||
" dict3.setdefault(unit,{})\n",
|
||
" for item in items:\n",
|
||
" dict3[unit].setdefault(item,{})\n",
|
||
" dict3[unit][item].setdefault('score',0)\n",
|
||
" dict3[unit][item].setdefault('count',0)\n",
|
||
" for k1,v1 in v['fits'].items():\n",
|
||
" if k1 in items:\n",
|
||
" dict3[unit][k1]['score']+=v1['score']\n",
|
||
" dict3[unit][k1]['count']+=1\n",
|
||
"\n",
|
||
"for k, v in dict3.items():\n",
|
||
" print(k)\n",
|
||
" for k1, v1 in v.items():\n",
|
||
" print(k1,v1['score'],v1['count'])"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "7092779e-ce30-4d1c-8e7b-a14011daee93",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 计算部门等级"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "81195537-5a43-4822-a1b9-a08b7baee05e",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"\n",
|
||
"items = ['优秀','良好','合格','不合格'] \n",
|
||
"filename = 'data/data_镇海（合并）.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"\n",
|
||
"dict3 = {}\n",
|
||
"for k, v in dict1.items():\n",
|
||
" unit = v['unit']\n",
|
||
" dict3.setdefault(unit,{})\n",
|
||
" for item in items:\n",
|
||
" dict3[unit].setdefault(item,0)\n",
|
||
"\n",
|
||
"for k, v in dict1.items():\n",
|
||
" unit = v['unit']\n",
|
||
" #dict3.setdefault(unit,{})\n",
|
||
" #for item in items:\n",
|
||
" #dict3[unit].setdefault(v['level'],0)\n",
|
||
" dict3[unit][v['level']] +=1\n",
|
||
"for k, v in dict3.items():\n",
|
||
" print(k,v['优秀'],v['良好'],v['合格'],v['不合格'])"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "4df1e70c-e359-4b4a-b2ae-2900ae25ded2",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-10-25T08:36:22.140778Z",
|
||
"iopub.status.busy": "2025-10-25T08:36:22.140431Z",
|
||
"iopub.status.idle": "2025-10-25T08:36:22.145537Z",
|
||
"shell.execute_reply": "2025-10-25T08:36:22.144522Z",
|
||
"shell.execute_reply.started": "2025-10-25T08:36:22.140742Z"
|
||
}
|
||
},
|
||
"source": [
|
||
"# 体质测试2025年"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "0dbcde66-5a57-4b6d-97d3-30159b606807",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 体测人员导入"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "0a6a661d-3780-4ae4-a975-821eae376f7a",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import json\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"wb = openpyxl.load_workbook('data/镇海人员2025.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, 5).value\n",
|
||
" person.setdefault(code, {})\n",
|
||
" dict1 = {}\n",
|
||
" dict1['name'] = sheet.cell(n, 2).value\n",
|
||
" dict1['sex'] = sheet.cell(n, 3).value\n",
|
||
" dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0] \n",
|
||
" dict1['unit'] = sheet.cell(n, 7).value\n",
|
||
" dict1['phone'] = sheet.cell(n, 4).value\n",
|
||
" person[code] = dict1\n",
|
||
"filename = 'data/镇海人员2025.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": "2af3b485-743e-40ca-8caa-5eecd572c2a5",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import json\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"wb = openpyxl.load_workbook('data/镇海人员信息确认表.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, 1).value.lower()\n",
|
||
" person.setdefault(code, {})\n",
|
||
" dict1 = {}\n",
|
||
" dict1['name'] = sheet.cell(n, 2).value\n",
|
||
" dict1['sex'] = sheet.cell(n, 3).value\n",
|
||
" dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0] \n",
|
||
" dict1['unit'] = sheet.cell(n, 4).value\n",
|
||
" if sheet.cell(n,6).value is not None:\n",
|
||
" dict1['phone'] = sheet.cell(n, 6).value\n",
|
||
" person[code] = dict1\n",
|
||
"filename = 'data/镇海人员2025.json'\n",
|
||
"with open(filename, 'w') as fl:\n",
|
||
" json.dump(person, fl, ensure_ascii=False)\n",
|
||
"print(len(person),'ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "c938346f-711c-4cd7-b2f1-3776df5a00b8",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成读卡系统文件"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "da037e81-96a8-475e-9ad7-21ab92285b85",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"\n",
|
||
"filename = 'data/镇海人员2025.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_镇海2025.json\", \"w\",encoding = 'utf-8') as file:\n",
|
||
" file.write(json_data) \n",
|
||
"print(len(list1),'ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "165f14d8-a973-463c-87cd-8c0c0de6a177",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 合并读卡系统文件"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 13,
|
||
"id": "505fce63-ed92-4f63-82da-7207b015dab4",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-11-24T10:09:42.882767Z",
|
||
"iopub.status.busy": "2025-11-24T10:09:42.882236Z",
|
||
"iopub.status.idle": "2025-11-24T10:09:42.907880Z",
|
||
"shell.execute_reply": "2025-11-24T10:09:42.907306Z",
|
||
"shell.execute_reply.started": "2025-11-24T10:09:42.882717Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"1595 ok\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"\n",
|
||
"filename = 'data/镇海人员2025.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/data_镇海2025.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" list1 = json.load(fl)\n",
|
||
"for item in list1:\n",
|
||
" code = item['id'].lower()\n",
|
||
" if code not in dict1.keys():\n",
|
||
" print(code,item['name'],item['unit'])\n",
|
||
" code = code.lower()\n",
|
||
" dict1.setdefault(code,{})\n",
|
||
" dict1[code]['name'] = item['name']\n",
|
||
" dict1[code]['sex'] = item['gender']\n",
|
||
" dict1[code]['unit'] = item['unit']\n",
|
||
" dict1[code]['birth'] = item['birth']\n",
|
||
"filename = 'data/镇海人员2025.json'\n",
|
||
"with open(filename, 'w') as fl:\n",
|
||
" json.dump(dict1, fl, ensure_ascii=False)\n",
|
||
"print(len(dict1),'ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "f1aefe1c-150d-4a55-98b5-3a72e9510e5d",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"\n",
|
||
"filename = 'data/镇海人员2025.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/data_镇海2025.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" list1 = json.load(fl)\n",
|
||
"for item in list1:\n",
|
||
" code = item['id'].lower()\n",
|
||
" dict1[code]['name'] = item['name']\n",
|
||
" dict1[code]['sex'] = item['gender']\n",
|
||
" dict1[code]['unit'] = item['unit']\n",
|
||
" dict1[code]['birth'] = item['birth']\n",
|
||
"filename = 'data/镇海人员2025-1.json'\n",
|
||
"with open(filename, 'w') as fl:\n",
|
||
" json.dump(dict1, fl, ensure_ascii=False)\n",
|
||
"print(len(dict1),'ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"id": "4fb7dc45-b509-4be7-a173-cce2cad4c67c",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-11-24T10:10:58.479565Z",
|
||
"iopub.status.busy": "2025-11-24T10:10:58.479001Z",
|
||
"iopub.status.idle": "2025-11-24T10:10:58.489706Z",
|
||
"shell.execute_reply": "2025-11-24T10:10:58.488704Z",
|
||
"shell.execute_reply.started": "2025-11-24T10:10:58.479512Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"1606\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"filename = 'data/data_镇海2025.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" list1 = json.load(fl)\n",
|
||
"print(len(list1))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "a5965545-1f5b-4ba2-b1b2-81a56572af74",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 核对人员信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "a8438d1b-ec3d-41e3-9c28-d44e88378c75",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import json\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"wb = openpyxl.load_workbook('data/镇海人员信息确认表.xlsx')\n",
|
||
"sheet = wb.active\n",
|
||
"person = {}\n",
|
||
"\n",
|
||
"for n in range(2, sheet.max_row+1):\n",
|
||
" code = sheet.cell(n, 1).value\n",
|
||
" person.setdefault(code, {})\n",
|
||
" dict1 = {}\n",
|
||
" dict1['name'] = sheet.cell(n, 2).value\n",
|
||
" dict1['sex'] = sheet.cell(n, 3).value\n",
|
||
" dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0] \n",
|
||
" dict1['unit'] = sheet.cell(n, 4).value\n",
|
||
" if sheet.cell(n, 6).value is not None:\n",
|
||
" dict1['phone'] = sheet.cell(n, 6).value\n",
|
||
" person[code] = dict1\n",
|
||
"filename = 'data/镇海人员2025.json'\n",
|
||
"with open(filename, 'w') as fl:\n",
|
||
" json.dump(person, fl, ensure_ascii=False)\n",
|
||
"print(len(person),'ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "74f568d1-0bd9-4028-8e6a-e0c25ead7958",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 导入手工数据"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "772330af-6224-43ad-9727-79854c33231c",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import json\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"wb = openpyxl.load_workbook('data/镇海项目手工成绩.xlsx')\n",
|
||
"sheet = wb.active\n",
|
||
"filename = 'data/result_镇海2025.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 = str(sheet.cell(n, 2).value)\n",
|
||
" mark = str(sheet.cell(n, 3).value)\n",
|
||
" dict2[code].setdefault(item,{})\n",
|
||
" dict2[code][item]['成绩'] = mark\n",
|
||
" \n",
|
||
"filename = 'data/result_镇海2025-1.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": "065cb133-3c61-46bd-bf81-7afa2c9be9e0",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 获取人员测试成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "289e4e1d-c80d-46f9-9015-fc4c139bc99d",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import datetime\n",
|
||
"import csv\n",
|
||
"from datetime import date\n",
|
||
"import my_module1 as My\n",
|
||
"\n",
|
||
"filename = 'data/镇海人员2025.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"filename = 'data/marks_20251031.csv'\n",
|
||
"re_ta = My.get_result(filename,dict1)\n",
|
||
"\n",
|
||
"\n",
|
||
"filename = 'data/result_镇海2025.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": "f9df8146-0430-42b5-b6d0-992c71ee645b",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 修正测试成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "9caa8291-7d48-483b-992a-45f244567600",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import json\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"\n",
|
||
"filename = 'data/result_镇海2025.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl) \n",
|
||
"filename = 'data/镇海人员2025.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict3 = json.load(fl) \n",
|
||
"dict1 = {}\n",
|
||
"for k, v in dict2.items():\n",
|
||
" code = k.upper()\n",
|
||
" dict1[code] = v\n",
|
||
" dict1[code]['unit'] = dict3[code]['unit']\n",
|
||
"filename = 'data/result_镇海2025-1.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict1, fl, ensure_ascii=False) \n",
|
||
"print(len(re_ta))\n",
|
||
" "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "15d7fae0-76a3-4443-8c2c-94ec7b8f052c",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成测试得分"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "49d15e27-6029-4557-a17a-7e7a426f7e5f",
|
||
"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_镇海2025-1.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl) \n",
|
||
"for k, v in dict2.items():\n",
|
||
" #print(k)\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_镇海2025.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
||
"print('ok!') "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "c1ef03ac-6970-4d33-9d30-fc2ffe4e7c52",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 导出测试人员信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "8ed6705e-b4f6-419e-b94b-4c391fed4551",
|
||
"metadata": {},
|
||
"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_镇海2025.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/镇海人员2025.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/镇海体测情况表(2025年）.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": "d6d6b47e-386c-4cee-a4d6-6dbe4f415490",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 统计各部门测试情况"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "a0c85107-7c75-462c-8f77-aea787d2100f",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"\n",
|
||
"filename = 'data/result_镇海2025.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/镇海人员2025.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/镇海部门测试情况（截至20251031）.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": "ab2ff226-2c58-495c-ad52-7cb3dc8a1dfd",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 添加班次信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "557508ff-842c-4e15-93fa-457b571223a8",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import json\n",
|
||
"from datetime import date\n",
|
||
"\n",
|
||
"wb = openpyxl.load_workbook('data/镇海体质监测人员名单（已标注班次）.xlsx')\n",
|
||
"sheet = wb.active\n",
|
||
"filename = 'data/data_镇海2025.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).lower()\n",
|
||
" if code in dict2.keys():\n",
|
||
" banci = sheet.cell(n, 6).value\n",
|
||
" dict2[code]['banci'] = banci\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
||
"print('ok!') \n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "0d7d8dd1-45f7-455d-8db3-38febc2a2395",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 统计未体测人员明细表"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "cc39720e-3be5-482f-a8d1-4495cf103b4f",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"filename = 'data/result_镇海2025.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/镇海人员2025.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/镇海未测试人员名单（截至20251031）.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": "e4c15761-e461-447a-bc60-5e5c29ba8cb3",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 统计未提供手机号码人员明细表"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "80c2b300-6a4f-4223-9b7a-9b8978ad4609",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"filename = 'data/result_镇海2025.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/镇海人员2025.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 'phone' not in v.keys() and k 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/镇海未提供手机号码人员名单.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": "3e0e3b48-12f1-42f0-ba3c-f949857d29f7",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 体测报告导入数据库"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "8c929073-2c32-4ecf-93fa-f3bf224bcb31",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import os,sys,shutil\n",
|
||
"import json\n",
|
||
"import math\n",
|
||
"import glob\n",
|
||
"import random\n",
|
||
"from pathlib import Path\n",
|
||
"import pymongo\n",
|
||
"\n",
|
||
"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
|
||
"mydb = myclient[\"baogao\"]\n",
|
||
"mycol = mydb[\"pdf1\"]\n",
|
||
"\n",
|
||
"filename = 'data/镇海短信码2025.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"list1 = []\n",
|
||
"for k, v in dict1.items():\n",
|
||
" list1.append({'bh':k,'phone':v['phone'],'place_id':1,'code':v['code'],'fn':v['fn']})\n",
|
||
"\n",
|
||
"x = mycol.insert_many(list1)\n",
|
||
"print(len(list1),'ok') "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "3b73e071-62ad-41fb-8b9d-57893dbf8a6f",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"\n",
|
||
"import os,sys,shutil\n",
|
||
"import json\n",
|
||
"import math\n",
|
||
"import glob\n",
|
||
"import random\n",
|
||
"from pathlib import Path\n",
|
||
"import pymongo\n",
|
||
"\n",
|
||
"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
|
||
"mydb = myclient[\"baogao\"]\n",
|
||
"\n",
|
||
"place_id = 1\n",
|
||
"place_code = \"20\"\n",
|
||
"\n",
|
||
"#fi_path = '/root/data/flask/pdf/files'\n",
|
||
"#fi_path = '/home/songyi/python/mycrm/flask/pdf/files'\n",
|
||
"fls = glob.glob(f'{fi_path}/{str(place_id)}/*.pdf')\n",
|
||
"\n",
|
||
"list2 = []\n",
|
||
"for fn in fls:\n",
|
||
" dict2 = {}\n",
|
||
" fi_name =Path(fn).stem.split('-')[0]\n",
|
||
" #fi_name =Path(fn).stem\n",
|
||
" code = fi_name\n",
|
||
" dict2 = {'place_id':place_id,'code':code,'fn':Path(fn).name}\n",
|
||
" list2.append(dict2)\n",
|
||
" i +=1\n",
|
||
"x = mycol.insert_many(list2)\n",
|
||
"print(len(list2),'ok') "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "9e271c11-dc3f-4746-82c8-380a2ae685d8",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成有电话人员验证码"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "fe8d4bbf-f293-42e5-8e13-172083431fdd",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import os,sys,shutil\n",
|
||
"import json\n",
|
||
"import math\n",
|
||
"import glob\n",
|
||
"import random\n",
|
||
"from pathlib import Path\n",
|
||
"import pymongo\n",
|
||
"\n",
|
||
"filename = 'data/镇海人员2025.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl)\n",
|
||
"\n",
|
||
"dict3 = {}\n",
|
||
"for k, v in dict2.items():\n",
|
||
" if 'phone' in v.keys():\n",
|
||
" dict3[k] = v\n",
|
||
"\n",
|
||
"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
|
||
"mydb = myclient[\"baogao\"]\n",
|
||
"\n",
|
||
"place_id = 1\n",
|
||
"place_code = \"01\"\n",
|
||
"dw_name = \"中国石化镇海炼化公司\"\n",
|
||
"dw_jc = \"中国石化镇海炼化公司\"\n",
|
||
"fi_path = '/home/songyi/pdf-typescript-old2/镇海石化2025'\n",
|
||
"fls = glob.glob(f'{fi_path}/*.pdf')\n",
|
||
"\n",
|
||
"code_list = []\n",
|
||
"for i in range(10): # 0~9\n",
|
||
" code_list.append(str(i))\n",
|
||
"list1 = []\n",
|
||
"mycol = mydb[\"pdf\"]\n",
|
||
"\n",
|
||
"i = 0\n",
|
||
"while i < len(fls):\n",
|
||
" code = random.sample(code_list,5) #随机取4位数\n",
|
||
" code_num = ''.join(code) \n",
|
||
" if place_code+code_num not in list1:\n",
|
||
" list1.append(place_code+code_num)\n",
|
||
" i +=1\n",
|
||
"i = 0\n",
|
||
"list2= []\n",
|
||
"\n",
|
||
"for fn in fls:\n",
|
||
" dict2 = {}\n",
|
||
" fi_name =Path(fn).stem.split('-')[0]\n",
|
||
" #fi_name =Path(fn).stem\n",
|
||
" code = fi_name\n",
|
||
" dxm = list1[i]\n",
|
||
" dict2 = {'place_id':place_id,'code':dxm,'fn':Path(fn).name}\n",
|
||
" list2.append(dict2)\n",
|
||
" i +=1\n",
|
||
"x = mycol.insert_many(list2)\n",
|
||
"print(len(list2),'ok') \n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "2f9d6915-9933-48e1-94a7-9ae8fa4c8844",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import os,sys,shutil\n",
|
||
"import json\n",
|
||
"import math\n",
|
||
"import glob\n",
|
||
"import random\n",
|
||
"from pathlib import Path\n",
|
||
"import pymongo\n",
|
||
"\n",
|
||
"filename = 'data/镇海人员2025.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl)\n",
|
||
"\n",
|
||
"dict3 = {}\n",
|
||
"for k, v in dict2.items():\n",
|
||
" if 'phone' in v.keys():\n",
|
||
" dict3[k] = v\n",
|
||
"print(len(dict3))\n",
|
||
"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
|
||
"mydb = myclient[\"baogao\"]\n",
|
||
"\n",
|
||
"place_id = 1\n",
|
||
"place_code = \"01\"\n",
|
||
"dw_name = \"中国石化镇海炼化公司\"\n",
|
||
"dw_jc = \"中国石化镇海炼化公司\"\n",
|
||
"fi_path = '/home/songyi/pdf-typescript-old2/镇海石化2025'\n",
|
||
"fls = glob.glob(f'{fi_path}/*.pdf')\n",
|
||
"\n",
|
||
"code_list = []\n",
|
||
"for i in range(10): # 0~9\n",
|
||
" code_list.append(str(i))\n",
|
||
"list1 = []\n",
|
||
"mycol = mydb[\"pdf\"]\n",
|
||
"\n",
|
||
"i = 0\n",
|
||
"while i < len(fls):\n",
|
||
" code = random.sample(code_list,4) #随机取4位数\n",
|
||
" code_num = ''.join(code) \n",
|
||
" if place_code+code_num not in list1:\n",
|
||
" list1.append(place_code+code_num)\n",
|
||
" i +=1\n",
|
||
"i = 0\n",
|
||
"list2= []\n",
|
||
"dict4 = {}\n",
|
||
"for fn in fls:\n",
|
||
" dict2 = {}\n",
|
||
" fi_name =Path(fn).stem.split('-')[0]\n",
|
||
" #fi_name =Path(fn).stem\n",
|
||
" code = fi_name\n",
|
||
" if code in dict3.keys():\n",
|
||
" \n",
|
||
" dxm = list1[i]\n",
|
||
" \n",
|
||
" dict2 = {'bh':code,'phone':dict3[code]['phone'],'place_id':place_id,'code':dxm,'fn':Path(fn).name}\n",
|
||
" dict4[code] = {'phone':dict3[code]['phone'],'place_id':place_id,'code':dxm,'fn':Path(fn).name}\n",
|
||
" list2.append(dict2)\n",
|
||
" i +=1\n",
|
||
"x = mycol.insert_many(list2)\n",
|
||
"filename = f'data/镇海短信码2025.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict4,fl , ensure_ascii=False) \n",
|
||
"print('ok!') "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "d7c31e0f-b2c9-4fb3-a265-9032114954ca",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 批量发送短信（测试）"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "9879c239-37c8-4054-8b39-99643d6f8792",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from tencentcloud.common import credential\n",
|
||
"from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n",
|
||
"from tencentcloud.sms.v20210111 import sms_client, models\n",
|
||
"from tencentcloud.common.profile.client_profile import ClientProfile\n",
|
||
"from tencentcloud.common.profile.http_profile import HttpProfile\n",
|
||
"import json\n",
|
||
"import pymongo\n",
|
||
"import time\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"dw_jc = \"镇海炼化公司\"\n",
|
||
"filename = 'data/镇海短信码2025.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"\n",
|
||
"place_id = 1\n",
|
||
"\n",
|
||
"i=1\n",
|
||
"#dict2 = {375: {'phone': '13793180751', 'code': '0379208'}}\n",
|
||
"for k, v in dict1.items():\n",
|
||
" phone = '+86'+v['phone']\n",
|
||
" yzm = v['code']\n",
|
||
" try: \n",
|
||
" secretId = \"AKID22rVyvSqbikXFFvav31ykc9YmqjN6KYc\"\n",
|
||
" secretKey = \"51XVL1YxDKI6mJh8au6DDuTskS1RhwJX\"\n",
|
||
" cred = credential.Credential(secretId, secretKey) \n",
|
||
" httpProfile = HttpProfile()\n",
|
||
" httpProfile.reqMethod = \"POST\" # post请求(默认为post请求)\n",
|
||
" httpProfile.reqTimeout = 60 # 请求超时时间，单位为秒(默认60秒)\n",
|
||
" httpProfile.endpoint = \"sms.tencentcloudapi.com\" # 指定接入地域域名(默认就近接入)\n",
|
||
" clientProfile = ClientProfile()\n",
|
||
" clientProfile.signMethod = \"TC3-HMAC-SHA256\" # 指定签名算法\n",
|
||
" clientProfile.language = \"en-US\"\n",
|
||
" clientProfile.httpProfile = httpProfile\n",
|
||
" client = sms_client.SmsClient(cred, \"ap-guangzhou\", clientProfile)\n",
|
||
" req = models.SendSmsRequest()\n",
|
||
" req.SmsSdkAppId = \"1400140089\"\n",
|
||
" req.SignName = \"坤铭教育\"\n",
|
||
" req.TemplateId = \"1875765\" \n",
|
||
" req.TemplateParamSet = [dw_jc,yzm]\n",
|
||
" req.PhoneNumberSet = [phone]\n",
|
||
" req.SessionContext = \"\"\n",
|
||
" req.ExtendCode = \"\"\n",
|
||
" req.SenderId = \"\"\n",
|
||
" #resp = client.SendSms(req)\n",
|
||
" #dict3 = json.loads(resp.to_json_string(indent=2))\n",
|
||
"\n",
|
||
" #print(v['phone'],dict3['SendStatusSet'][0][\"Message\"])\n",
|
||
" print(i,v['phone'],v['fn'], v['code'])\n",
|
||
" i+=1\n",
|
||
" except TencentCloudSDKException as err:\n",
|
||
" print(v['phone'],err)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "8f68da91-de56-4cc5-abe6-2b275133e558",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 单个发送短信"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "9663b933-57f4-486c-80e6-f9d513bbe6a8",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from tencentcloud.common import credential\n",
|
||
"from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n",
|
||
"from tencentcloud.sms.v20210111 import sms_client, models\n",
|
||
"from tencentcloud.common.profile.client_profile import ClientProfile\n",
|
||
"from tencentcloud.common.profile.http_profile import HttpProfile\n",
|
||
"import json\n",
|
||
"import pymongo\n",
|
||
"import time\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"dw_jc = \"镇海炼化体测用户\"\n",
|
||
"filename = 'data/镇海短信码2025.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"\n",
|
||
"phone = '+86'+'13793180751'\n",
|
||
"yzm = '019031'\n",
|
||
"try: \n",
|
||
" secretId = \"AKID22rVyvSqbikXFFvav31ykc9YmqjN6KYc\"\n",
|
||
" secretKey = \"51XVL1YxDKI6mJh8au6DDuTskS1RhwJX\"\n",
|
||
" cred = credential.Credential(secretId, secretKey) \n",
|
||
" httpProfile = HttpProfile()\n",
|
||
" httpProfile.reqMethod = \"POST\" # post请求(默认为post请求)\n",
|
||
" httpProfile.reqTimeout = 60 # 请求超时时间，单位为秒(默认60秒)\n",
|
||
" httpProfile.endpoint = \"sms.tencentcloudapi.com\" # 指定接入地域域名(默认就近接入)\n",
|
||
" clientProfile = ClientProfile()\n",
|
||
" clientProfile.signMethod = \"TC3-HMAC-SHA256\" # 指定签名算法\n",
|
||
" clientProfile.language = \"en-US\"\n",
|
||
" clientProfile.httpProfile = httpProfile\n",
|
||
" client = sms_client.SmsClient(cred, \"ap-guangzhou\", clientProfile)\n",
|
||
" req = models.SendSmsRequest()\n",
|
||
" req.SmsSdkAppId = \"1400140089\"\n",
|
||
" req.SignName = \"北京坤铭教育\"\n",
|
||
" req.TemplateId = \"1875765\" \n",
|
||
" req.TemplateParamSet = [dw_jc,yzm]\n",
|
||
" req.PhoneNumberSet = [phone]\n",
|
||
" req.SessionContext = \"\"\n",
|
||
" req.ExtendCode = \"\"\n",
|
||
" req.SenderId = \"\"\n",
|
||
" resp = client.SendSms(req)\n",
|
||
" dict3 = json.loads(resp.to_json_string(indent=2))\n",
|
||
"\n",
|
||
" print(phone,dict3['SendStatusSet'][0][\"Message\"])\n",
|
||
"except TencentCloudSDKException as err:\n",
|
||
" print(v['phone'],err)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "ab5f292c-1b1e-46a0-9b5b-f7be1573d438",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 批量发送短信"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "4426aa59-2754-4571-9270-dcb7b66bc941",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from tencentcloud.common import credential\n",
|
||
"from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n",
|
||
"from tencentcloud.sms.v20210111 import sms_client, models\n",
|
||
"from tencentcloud.common.profile.client_profile import ClientProfile\n",
|
||
"from tencentcloud.common.profile.http_profile import HttpProfile\n",
|
||
"import json\n",
|
||
"import pymongo\n",
|
||
"import time\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"dw_jc = \"镇海炼化公司\"\n",
|
||
"filename = 'data/镇海短信码2025.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"\n",
|
||
"place_id = 1\n",
|
||
"\n",
|
||
"i=1\n",
|
||
"#dict2 = {375: {'phone': '13793180751', 'code': '0379208'}}\n",
|
||
"for k, v in dict1.items():\n",
|
||
" phone = '+86'+v['phone']\n",
|
||
" yzm = v['code']\n",
|
||
" try: \n",
|
||
" secretId = \"AKID22rVyvSqbikXFFvav31ykc9YmqjN6KYc\"\n",
|
||
" secretKey = \"51XVL1YxDKI6mJh8au6DDuTskS1RhwJX\"\n",
|
||
" cred = credential.Credential(secretId, secretKey) \n",
|
||
" httpProfile = HttpProfile()\n",
|
||
" httpProfile.reqMethod = \"POST\" # post请求(默认为post请求)\n",
|
||
" httpProfile.reqTimeout = 60 # 请求超时时间，单位为秒(默认60秒)\n",
|
||
" httpProfile.endpoint = \"sms.tencentcloudapi.com\" # 指定接入地域域名(默认就近接入)\n",
|
||
" clientProfile = ClientProfile()\n",
|
||
" clientProfile.signMethod = \"TC3-HMAC-SHA256\" # 指定签名算法\n",
|
||
" clientProfile.language = \"en-US\"\n",
|
||
" clientProfile.httpProfile = httpProfile\n",
|
||
" client = sms_client.SmsClient(cred, \"ap-guangzhou\", clientProfile)\n",
|
||
" req = models.SendSmsRequest()\n",
|
||
" req.SmsSdkAppId = \"1400140089\"\n",
|
||
" req.SignName = \"坤铭教育\"\n",
|
||
" req.TemplateId = \"1875765\" \n",
|
||
" req.TemplateParamSet = [dw_jc,yzm]\n",
|
||
" req.PhoneNumberSet = [phone]\n",
|
||
" req.SessionContext = \"\"\n",
|
||
" req.ExtendCode = \"\"\n",
|
||
" req.SenderId = \"\"\n",
|
||
" resp = client.SendSms(req)\n",
|
||
" #dict3 = json.loads(resp.to_json_string(indent=2))\n",
|
||
" time.sleep(3)\n",
|
||
"\n",
|
||
" #print(v['phone'],dict3['SendStatusSet'][0][\"Message\"])\n",
|
||
" print(i,v['phone'],v['fn'], v['code'])\n",
|
||
" i+=1\n",
|
||
" except TencentCloudSDKException as err:\n",
|
||
" print(v['phone'],err)"
|
||
]
|
||
}
|
||
],
|
||
"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
|
||
}
|