1717 lines
54 KiB
Plaintext
1717 lines
54 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "bfa33ac5-8fe9-4845-8b1d-56c509afcb83",
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true,
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"tags": []
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},
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"source": [
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"## 体质检测管理"
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]
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},
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{
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"cell_type": "markdown",
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"id": "78dc4774-e1b1-40d8-8783-12ada9db45be",
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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": "d2ea710d-34be-47ed-afd8-343137ee9ac5",
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"metadata": {
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"tags": []
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},
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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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"\n",
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"\n",
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"wb = openpyxl.load_workbook('data/安庆石化2022.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"\n",
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"for n in range(2, sheet.max_row+1):\n",
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" code = int(sheet.cell(n, 2).value)\n",
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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 3).value\n",
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" dict1['sex'] = sheet.cell(n, 4).value\n",
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" dict1['unit'] = sheet.cell(n, 1).value\n",
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" dict1['id_num'] = sheet.cell(n,6).value\n",
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" person[code] = dict1\n",
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"filename = 'data/安庆炼化人员名单2022.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": "eefb520d-0aee-4f92-b6a9-af9efaa88049",
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"metadata": {},
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"source": [
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"### 导出测试成绩"
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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": "c1e1b40c-d73a-4e2e-8c22-4d3ae73ede6f",
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"metadata": {
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"tags": []
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},
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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','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','年龄','身高','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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"filename = 'data/result_2209.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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"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(k)\n",
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" list2.append(v['name'])\n",
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" if 'id' in v.keys(): \n",
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" age = v['id'][6:10]+'-'+v['id'][10:12]+'-'+v['id'][12:14]\n",
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" else:\n",
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" age = v['birth']\n",
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" list2.append(age)\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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" list1.append(list2)\n",
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"filename = 'data/2022年安庆得分情况表.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": "code",
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"execution_count": null,
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"id": "a3f0d4b9-78c6-4fd2-baf7-a05962e7904c",
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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','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','身高','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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"filename = 'data/result_2209.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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"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(k)\n",
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" list2.append(v['name'])\n",
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" \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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" list1.append(list2)\n",
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"filename = 'data/2022年安庆得分情况表.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": "e5aa1bf4-c68c-4843-a9fb-c3fe48ff1f39",
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"metadata": {},
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"source": [
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"### 体测数据检查"
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]
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},
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{
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"cell_type": "markdown",
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"id": "27b8e925-ec99-48d4-9f89-97ce388c1b3b",
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"metadata": {},
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"source": [
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"#### 数据项目校验"
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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": "f93c3eed-ce79-48a7-b189-3ef694f60367",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import json\n",
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"import operator\n",
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"\n",
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"filename = 'data/安庆炼化人员名单2022.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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"list1 = dict1.keys()\n",
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"m_items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','单脚站立','选择反应时','台阶指数']\n",
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"f_items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','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_2209.json'\n",
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"dict3 = {}\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl)\n",
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"\n",
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"for k, v in dict1.items():\n",
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" dict3[k] = v['sex']\n",
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"\n",
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"for k, v in dict2.items():\n",
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" list1 = []\n",
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" list1 = list(v.keys()) \n",
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" if dict3[k] == '男' and '一分钟仰卧起坐' in list1:\n",
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" print(k,v['name'],'一分钟仰卧起坐 不应出现')\n",
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" if dict3[k] == '女' and '俯卧撑' in list1:\n",
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" print(k,v['name'],'俯卧撑 不应出现')\n",
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" \n",
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" "
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]
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},
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{
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"cell_type": "markdown",
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"id": "bd58fc48-ffe9-4838-be19-5da1dc632049",
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"metadata": {},
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"source": [
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"#### 当日测试人员校验"
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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": "a00ec014-a4e5-4f8f-9cd5-7b3bd736ad85",
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"metadata": {
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"tags": []
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},
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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 = '../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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" \n",
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"filename = 'data/136_220927.csv'\n",
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"list1 = []\n",
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"re_ta = {}\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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"for result in list1:\n",
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" user = str(result[4])\n",
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" m_item = str(result[0]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = str(result[6])\n",
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" re_ta[user]['unit'] = str(result[5])\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[1])/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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" re_ta[user][item_name]['得分'] =result[2]\n",
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"#print(re_ta)\n",
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"\n",
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"filename = 'data/result_2209.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl)\n",
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"\n",
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"for k, v in re_ta.items():\n",
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" if k in dict2.keys():\n",
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" print(k,v['name'],'该人员已经测试！')\n",
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"\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "cf27c2e7-af3c-4765-af01-9326d7ebac6e",
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"metadata": {},
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"source": [
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"### 新增人员"
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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": "80879f90-2939-44b8-8bc6-107c38c9df79",
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"metadata": {
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"tags": []
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},
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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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"\n",
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"\n",
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"wb = openpyxl.load_workbook('data/安庆新增人员220926.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"i = 0\n",
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"person = {}\n",
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"dict2 = {}\n",
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"for n in range(2, sheet.max_row+1): \n",
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" if sheet.cell(n,2).value is None:\n",
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" break\n",
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" else: \n",
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" code = int(sheet.cell(n, 2).value)\n",
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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" xb = str(sheet.cell(n, 4).value)\n",
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" if xb == '1':\n",
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" sex = '男'\n",
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" elif xb =='2':\n",
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" sex = '女'\n",
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" dict1['name'] = sheet.cell(n, 3).value\n",
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" dict1['sex'] = sex\n",
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" dict1['unit'] = sheet.cell(n, 1).value\n",
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" dict1['id_num'] = sheet.cell(n,6).value\n",
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" person[code] = dict1\n",
|
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"filename = 'data/安庆炼化人员名单2022.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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"for k, v in person.items():\n",
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" if k in dict2.keys():\n",
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" print('该编号人员已存在！')\n",
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" else:\n",
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" dict2[k] = v\n",
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" i +=1\n",
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"if i >1:\n",
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" with open(filename, 'w') as fl:\n",
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" json.dump(dict2, fl, ensure_ascii=False)\n",
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" print('ok')\n",
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"else:\n",
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" print('无新增人员！')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "5178b8fc-408a-4d95-915c-2164f2596bc3",
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"metadata": {},
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"source": [
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"### 修改人员部门"
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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": "6e19f626-9732-4426-9124-b6f4ef5542bc",
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"metadata": {
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"tags": []
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},
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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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"\n",
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"\n",
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"wb = openpyxl.load_workbook('data/2022年安庆石化体测数据调整情况0921.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"data1 =list(sheet.values)\n",
|
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"del data1[:2]\n",
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"\n",
|
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"filename = 'data/安庆炼化人员名单2022.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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"for item in data1:\n",
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" if str(item[0]) in dict1.keys():\n",
|
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" dict1[str(item[0])]['unit'] = item[4]\n",
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" print(item[0],item[1],'已修改')\n",
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" else:\n",
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" print(item[0],item[1],'不存在！')\n",
|
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"with open(filename, 'w') as fl:\n",
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" json.dump(dict1, 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",
|
|
"id": "7377e5d1-815d-4eb8-9bfa-9ca3a210a6e0",
|
|
"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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|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "6e738a0d-ffbf-4a73-9021-d024609a6eb4",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"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",
|
|
"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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"#SQL语句为：\n",
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"# SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name FROM places_result AS a,_zgshhgxs AS b WHERE a.place_id=135 AND a.avatar_id=b.id AND a.avatar_id < 4999\n",
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"\n",
|
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"re_ta = {}\n",
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"dict1 = {}\n",
|
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"list1 = []\n",
|
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"#print(\"\\n运动项目信息：\")\n",
|
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"filename = 'data/136_2209.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",
|
|
" 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[4])\n",
|
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" m_item = str(result[0]) \n",
|
|
" re_ta.setdefault(user,{}) \n",
|
|
" re_ta[user]['name'] = str(result[6])\n",
|
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" re_ta[user]['unit'] = str(result[5])\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[1])/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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" re_ta[user][item_name]['得分'] =result[2]\n",
|
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"filename = 'data/result_2209.json'\n",
|
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"with open(filename,'w') as fl:\n",
|
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" json.dump(re_ta, fl) \n",
|
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"print('ok')"
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]
|
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},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "540b0225-8651-4b37-8bc8-3899efbd71fb",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 比照往年年度人员信息"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "bed95c43-e26c-41d3-8b1c-516818b25bbf",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import openpyxl\n",
|
|
"\n",
|
|
"filename = 'data/result_安庆.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"\n",
|
|
"filename = 'data/安庆炼化人员名单2022.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict3 = json.load(fl)\n",
|
|
"\n",
|
|
"dict2 = {}\n",
|
|
"for k, v in dict3.items():\n",
|
|
" dict2[v['id_num']] = [v['name'],k,v['unit'],v['sex']]\n",
|
|
"\n",
|
|
"dict3 = {}\n",
|
|
"for k, v in dict1.items():\n",
|
|
" if 'id' in v.keys():\n",
|
|
" if v['id'] in dict2.keys():\n",
|
|
" v['old_code'] = int(k)\n",
|
|
" code = int(dict2[v['id']][1])\n",
|
|
" dict3.setdefault(code, {})\n",
|
|
" dict3[code] = v \n",
|
|
"filename = 'data/安庆2021.json'\n",
|
|
"with open(filename,'w') as fl:\n",
|
|
" json.dump(dict3, fl,ensure_ascii=False) \n",
|
|
"print('ok')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "46ccfb31-7cd8-4cc4-8d70-18a14f7943e8",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import openpyxl\n",
|
|
"\n",
|
|
"filename = 'data/result_安庆.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"dict2 = {}\n",
|
|
"filename = 'data/安庆石化2022.xlsx'\n",
|
|
"wb = openpyxl.load_workbook(filename)\n",
|
|
"sheet = wb.active\n",
|
|
"data1 =list(sheet.values)\n",
|
|
"del data1[0]\n",
|
|
"for item in data1:\n",
|
|
" id = item[5]\n",
|
|
" dict2[id] = [item[2],item[1],item[0],item[3],item[4]]\n",
|
|
"#print(dict2)\n",
|
|
"dict3 = {}\n",
|
|
"for k, v in dict1.items():\n",
|
|
" if 'id' in v.keys():\n",
|
|
" if v['id'] in dict2.keys():\n",
|
|
" v['old_code'] = int(k)\n",
|
|
" code = int(dict2[v['id']][1])\n",
|
|
" dict3.setdefault(code, {})\n",
|
|
" dict3[code] = v \n",
|
|
"filename = 'data/安庆2021.json'\n",
|
|
"with open(filename,'w') as fl:\n",
|
|
" json.dump(dict3, fl,ensure_ascii=False) \n",
|
|
"print('ok')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "a9bdeab3-5ddf-4f80-90fb-9301a2ff064a",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 比照人员两年成绩"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "2b63fff4-3b1f-4a4f-b32a-4508736b88a6",
|
|
"metadata": {},
|
|
"source": [
|
|
"#### 比照两年全部成绩"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "351aae7c-a3aa-4c22-99b9-701cf2395a85",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import openpyxl\n",
|
|
"\n",
|
|
"filename = 'data/安庆2021.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"\n",
|
|
"list1 = dict1.keys()\n",
|
|
"items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
|
|
"title = ['编号','姓名','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','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
|
|
"filename = 'data/result_2209.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict2 = json.load(fl)\n",
|
|
"list4 = []\n",
|
|
"for k, v in dict2.items():\n",
|
|
" if k in list1:\n",
|
|
" list2 = [k,v['name'],v['unit']]\n",
|
|
" list3 = []\n",
|
|
" for item in items:\n",
|
|
" # 获取2022年成绩\n",
|
|
" if item in v.keys():\n",
|
|
" list2.append(v[item]['成绩']) \n",
|
|
" \n",
|
|
" else:\n",
|
|
" list2.append('')\n",
|
|
" # 获取2021年成绩\n",
|
|
" if item in dict1[k].keys():\n",
|
|
" list3.append(dict1[k][item]['成绩']) \n",
|
|
" else:\n",
|
|
" list3.append('')\n",
|
|
" for cj in list3:\n",
|
|
" list2.append(cj) \n",
|
|
" list4.append(list2)\n",
|
|
"filename = 'data/安庆石化成绩对照220921.xlsx'\n",
|
|
"wb = openpyxl.Workbook()\n",
|
|
"sheet = wb.active\n",
|
|
"sheet.append(title)\n",
|
|
"for row in list4:\n",
|
|
" sheet.append(row)\n",
|
|
" \n",
|
|
"wb.save(filename) "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "d6d6952f-2944-4cb4-8403-d83d5f0b4a9b",
|
|
"metadata": {},
|
|
"source": [
|
|
"#### 比照两年单项成绩"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "28199ab8-ea9d-4012-ba75-9437fcdd91aa",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import openpyxl\n",
|
|
"\n",
|
|
"filename = 'data/安庆2021.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"\n",
|
|
"list1 = dict1.keys()\n",
|
|
"items = ['身高','体重']\n",
|
|
"title = ['编号','姓名','部门','22年身高','22年体重','21年身高','21年体重','身高差','体重差']\n",
|
|
"filename = 'data/result_2209.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict2 = json.load(fl)\n",
|
|
"list4 = []\n",
|
|
"for k, v in dict2.items():\n",
|
|
" if k in list1:\n",
|
|
" list2 = [k,v['name'],v['unit']]\n",
|
|
" list3 = []\n",
|
|
" for item in items:\n",
|
|
" # 获取2022年成绩\n",
|
|
" if item in v.keys(): \n",
|
|
" list2.append(v[item]['成绩'].split()[0]) \n",
|
|
" else:\n",
|
|
" list2.append('')\n",
|
|
" # 获取2021年成绩\n",
|
|
" if item in dict1[k].keys():\n",
|
|
" list3.append(dict1[k][item]['成绩']) \n",
|
|
" else:\n",
|
|
" list3.append('')\n",
|
|
" for cj in list3:\n",
|
|
" if cj != '':\n",
|
|
" list2.append(cj.split()[0]) \n",
|
|
" \n",
|
|
" list4.append(list2)\n",
|
|
"filename = 'data/安庆石化成绩对照220927.xlsx'\n",
|
|
"wb = openpyxl.Workbook()\n",
|
|
"sheet = wb.active\n",
|
|
"sheet.append(title)\n",
|
|
"for row in list4:\n",
|
|
" sheet.append(row)\n",
|
|
" \n",
|
|
"wb.save(filename) "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "b0c3d2bd-85ad-4109-be26-81f0b7b374f0",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 调整人员部门"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "5e05ac13-4ed7-4b36-bd76-77283feecfbb",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import openpyxl\n",
|
|
"\n",
|
|
"\n",
|
|
"filename = '../data/安庆石化部门调整.xlsx'\n",
|
|
"wb = openpyxl.load_workbook(filename)\n",
|
|
"sheet = wb.active\n",
|
|
"data1 =list(sheet.values)\n",
|
|
"del data1[:2]\n",
|
|
"filename = '../data/安庆炼化人员名单2022.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"i = 1\n",
|
|
"for item in data1:\n",
|
|
" code = str(item[0])\n",
|
|
" name = item[1]\n",
|
|
" unit = item[4]\n",
|
|
" if dict1[code]['name'] == name:\n",
|
|
" #print(i,name,unit)\n",
|
|
" dict1[code]['unit'] = unit\n",
|
|
"with open(filename,'w') as fl:\n",
|
|
" json.dump(dict1, fl,ensure_ascii=False) \n",
|
|
"print('ok') \n",
|
|
" "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "7ec85f17-5dbb-4929-963e-724f0336cc9f",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 删除人员"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "bca57e0d-918b-49d2-ac01-6ad17f0c29a0",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"\n",
|
|
"filename = '../data/安庆炼化人员名单2022.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"list1 = [4129,4165]\n",
|
|
"for item in list1:\n",
|
|
" if str(item) in dict1.keys():\n",
|
|
" del dict1[str(item)] \n",
|
|
" print(item,'已删除！')\n",
|
|
"with open(filename,'w') as fl:\n",
|
|
" json.dump(dict1, fl,ensure_ascii=False) \n",
|
|
"print('ok') "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "16b2e608-23ea-493d-a8dc-7f0dc1344913",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 体测报告分组"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "14ffd855-4af6-4329-9925-b28d3f0028ef",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import os,sys,shutil\n",
|
|
"import json\n",
|
|
"import math\n",
|
|
"\n",
|
|
"fi_xls = '../file/安庆石化2022.xlsx'\n",
|
|
"fi_name = {}\n",
|
|
"fi_path = '../file/220930'\n",
|
|
"old = []\n",
|
|
"new = []\n",
|
|
"dict1 = {}\n",
|
|
"depart = set()\n",
|
|
"\n",
|
|
"filename = '../data/安庆炼化人员名单2022.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict2 = json.load(fl)\n",
|
|
"for k, v in dict2.items():\n",
|
|
" depart.add(v['unit']) \n",
|
|
" dict1[int(k)] = [v['name'],v['unit']]\n",
|
|
" \n",
|
|
"# 创建部门办公室 \n",
|
|
"\n",
|
|
"\n",
|
|
"m_path = '../file/220930/new'\n",
|
|
"for pn in depart:\n",
|
|
" if not os.path.exists(m_path + '/' + pn):\n",
|
|
" os.mkdir(m_path + '/' + pn)\n",
|
|
"#print(dict1)\n",
|
|
"\n",
|
|
"\n",
|
|
"fl=os.listdir(fi_path)\n",
|
|
"for fn in fl:\n",
|
|
" if os.path.isfile(fi_path + '/' + fn):\n",
|
|
" ofn = int(fn.split('.')[0])\n",
|
|
" old.append(ofn)\n",
|
|
" #print(fn)\n",
|
|
"old.sort()\n",
|
|
" #print(str(nfn)+'.pdf')\n",
|
|
"\n",
|
|
"for n in old:\n",
|
|
" \n",
|
|
" o_name = f'{fi_path}/{n}.pdf'\n",
|
|
" n_name = f'{fi_path}/new/{dict1[n][1]}/{str(n).rjust(5,\"0\")}-{dict1[n][0]}.pdf'\n",
|
|
" if not os.path.exists(n_name):\n",
|
|
" shutil.copyfile(o_name,n_name)\n",
|
|
" print(n_name)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "f623d291-8d66-4246-a34f-a051115596ef",
|
|
"metadata": {
|
|
"jp-MarkdownHeadingCollapsed": true,
|
|
"tags": []
|
|
},
|
|
"source": [
|
|
"## 体检报告数据管理"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "38261495-3aa4-4572-a6e1-4e300c29be66",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 从excel表导入数据"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "31a47b5f-f48e-4d6d-af8f-dd5383b5c5dd",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import os\n",
|
|
"import openpyxl\n",
|
|
"import json\n",
|
|
"\n",
|
|
"fi_path = 'data/安庆/'\n",
|
|
"sheet_list = ['一览表', 'Ⅱ级高血压、Ⅲ级高血压', '心电图异常']\n",
|
|
"dict1 = {}\n",
|
|
"fl=glob.glob(f'{fi_path}*.xlsx')\n",
|
|
"for fn in fl:\n",
|
|
" print(fn) \n",
|
|
" wb = openpyxl.load_workbook(fn)\n",
|
|
" wb_name = os.path.basename(fn).split('.')[0]\n",
|
|
" dict1.setdefault(wb_name,{})\n",
|
|
" for sheet in wb.sheetnames:\n",
|
|
" ws = wb[sheet]\n",
|
|
" if sheet == '一览表':\n",
|
|
" dict1[wb_name].setdefault(sheet,{})\n",
|
|
" for n in range(2,ws.max_row+1):\n",
|
|
" dict2 = {}\n",
|
|
" m_name = ws.cell(n,4).value\n",
|
|
" dict1[wb_name][sheet].setdefault(m_name,{})\n",
|
|
" dict2['部门'] = ws.cell(n,2).value\n",
|
|
" dict2['工号'] = ws.cell(n,3).value\n",
|
|
" dict2['性别'] = ws.cell(n,5).value\n",
|
|
" dict2['年龄'] = ws.cell(n,6).value\n",
|
|
" dict2['接害工龄'] = ws.cell(n,7).value\n",
|
|
" dict2['工种'] = ws.cell(n,8).value\n",
|
|
" dict2['危害因素'] = ws.cell(n,9).value\n",
|
|
" dict2['在岗类型'] = ws.cell(n,10).value\n",
|
|
" dict2['体检结果'] = ws.cell(n,11).value\n",
|
|
" dict2['检查结果'] = ws.cell(n,12).value\n",
|
|
" dict1[wb_name][sheet][m_name] = dict2\n",
|
|
" \n",
|
|
" if sheet == 'Ⅱ级高血压、Ⅲ级高血压':\n",
|
|
" dict1[wb_name].setdefault(sheet,{})\n",
|
|
" for n in range(2,ws.max_row+1):\n",
|
|
" dict2 = {}\n",
|
|
" m_name = ws.cell(n,4).value\n",
|
|
" dict1[wb_name][sheet].setdefault(m_name,{})\n",
|
|
" dict2['工号'] = ws.cell(n,3).value\n",
|
|
" dict2['性别'] = ws.cell(n,5).value\n",
|
|
" dict2['年龄'] = ws.cell(n,6).value\n",
|
|
" dict2['接害工龄'] = ws.cell(n,7).value \n",
|
|
" dict2['总结'] = ws.cell(n,11).value\n",
|
|
" dict2['诊断'] = ws.cell(n,12).value\n",
|
|
" dict1[wb_name][sheet][m_name] = dict2\n",
|
|
" \n",
|
|
" if sheet == '心电图异常':\n",
|
|
" dict1[wb_name].setdefault(sheet,{})\n",
|
|
" for n in range(2,ws.max_row+1):\n",
|
|
" dict2 = {}\n",
|
|
" m_name = ws.cell(n,4).value\n",
|
|
" dict1[wb_name][sheet].setdefault(m_name,{})\n",
|
|
" dict2['工号'] = ws.cell(n,3).value\n",
|
|
" dict2['性别'] = ws.cell(n,5).value\n",
|
|
" dict2['年龄'] = ws.cell(n,6).value\n",
|
|
" dict2['接害工龄'] = ws.cell(n,7).value \n",
|
|
" dict2['总结'] = ws.cell(n,11).value\n",
|
|
" dict2['诊断'] = ws.cell(n,12).value\n",
|
|
" dict2['备注'] = ws.cell(n,14).value\n",
|
|
" dict1[wb_name][sheet][m_name] = dict2\n",
|
|
" \n",
|
|
" wb.close()\n",
|
|
"with open('data/安庆体检报告.json','w') as fl:\n",
|
|
" json.dump(dict1,fl) \n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "9a564e48-95e3-4255-b70e-e845c59edfaf",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 体检结果分解"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "56a0804b-8626-4c52-8ff4-29d4322b1bdc",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import re\n",
|
|
"with open('data/安庆体检报告.json','r') as fl:\n",
|
|
" dict1 = json.load(fl) \n",
|
|
"\n",
|
|
"mo1 = r'[一二三四五六七八九十]、'\n",
|
|
"list_ks = set()\n",
|
|
"#dict2 = dict1['丙烯腈装置']['一览表']\n",
|
|
"#print(dict2)\n",
|
|
"for k, v in dict1.items():\n",
|
|
" print(k)\n",
|
|
" for k1, v1 in v['一览表'].items():\n",
|
|
" if v1['体检结果']:\n",
|
|
" ss = v1['体检结果']\n",
|
|
" \n",
|
|
" list1 = re.split(mo1,ss)\n",
|
|
" if '' in list1:\n",
|
|
" list1.remove('')\n",
|
|
" for item in list1:\n",
|
|
" list_ks.add(item.split('_x000D_')[0])\n",
|
|
" \n",
|
|
"print(list_ks)\n",
|
|
" \n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "54515a61-6711-44a8-9959-8a25d21ae8a6",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import re\n",
|
|
"with open('data/安庆体检报告.json','r') as fl:\n",
|
|
" dict1 = json.load(fl) \n",
|
|
"\n",
|
|
"mo1 = r'[一二三四五六七八九十]、'\n",
|
|
"list_ks = set()\n",
|
|
"dict2 = dict1['丙烯腈装置']['一览表']\n",
|
|
"dict3 = {}\n",
|
|
"i = 1\n",
|
|
"#print(dict2)\n",
|
|
"for k, v in dict2.items():\n",
|
|
" dict3.setdefault(i,{})\n",
|
|
" ss = v['体检结果']\n",
|
|
" list1 = re.split(mo1,ss)\n",
|
|
" list1.remove('')\n",
|
|
" for item in list1:\n",
|
|
" list2 = item.split('_x000D_')\n",
|
|
" if '' in list2:\n",
|
|
" list2.remove('')\n",
|
|
" list_ks.add(list2[0])\n",
|
|
" dict3[i][item.split('_x000D_')[0]] =list2[1:]\n",
|
|
" i+=1\n",
|
|
"print(list_ks)\n",
|
|
"#print(dict3)\n",
|
|
"for k, v in dict3.items():\n",
|
|
" for k1, v1 in v.items():\n",
|
|
" if k1 =='检验科':\n",
|
|
" for item in v1:\n",
|
|
" if '【' in item:\n",
|
|
" v1.remove(item)\n",
|
|
" print(v1)\n",
|
|
" if k1 =='彩超检查室':\n",
|
|
" for item in v1:\n",
|
|
" if '【' in item:\n",
|
|
" v1.remove(item)\n",
|
|
" #print(v1)\n",
|
|
" if k1 =='心电图检查室':\n",
|
|
" for item in v1:\n",
|
|
" if '【' in item:\n",
|
|
" v1.remove(item)\n",
|
|
" #print(v1)\n",
|
|
" if k1 =='肺功能检查室':\n",
|
|
" for item in v1:\n",
|
|
" if '【' in item:\n",
|
|
" v1.remove(item)\n",
|
|
" #print(v1)\n",
|
|
" if k1 =='碳14尿素':\n",
|
|
" for item in v1:\n",
|
|
" if '【' in item:\n",
|
|
" v1.remove(item)\n",
|
|
" #print(v1)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "5968c4b2-d866-4d91-b3e5-f0636420ba9a",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 病症统计（Ⅱ级高血压、Ⅲ级高血压、心电图异常）"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "96d9656e-7f63-4981-8272-21e1ef051287",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import re\n",
|
|
"with open('data/安庆体检报告.json','r') as fl:\n",
|
|
" dict1 = json.load(fl) \n",
|
|
"dict3 = {}\n",
|
|
"for k, v in dict1.items():\n",
|
|
" bm = k\n",
|
|
" dict2 = {}\n",
|
|
" if 'Ⅱ级高血压、Ⅲ级高血压' in v.keys():\n",
|
|
" for k1, v1 in v['Ⅱ级高血压、Ⅲ级高血压'].items():\n",
|
|
" mbz = 'Ⅱ级高血压、Ⅲ级高血压'\n",
|
|
" dict2.setdefault(k1,{})\n",
|
|
" dict2[k1]['工号'] = v1['工号']\n",
|
|
" dict2[k1]['性别'] = v1['性别']\n",
|
|
" dict2[k1]['年龄'] = v1['年龄']\n",
|
|
" dict2[k1]['接害工龄'] = v1['接害工龄']\n",
|
|
" dict2[k1].setdefault(mbz,{})\n",
|
|
" dict2[k1][mbz]['总结'] = v1['总结']\n",
|
|
" dict2[k1][mbz]['诊断'] = v1['诊断']\n",
|
|
" if '心电图异常' in v.keys():\n",
|
|
" for k1, v1 in v['心电图异常'].items():\n",
|
|
" mbz = '心电图异常'\n",
|
|
" dict2.setdefault(k1,{})\n",
|
|
" dict2[k1]['工号'] = v1['工号']\n",
|
|
" dict2[k1]['性别'] = v1['性别']\n",
|
|
" dict2[k1]['年龄'] = v1['年龄']\n",
|
|
" dict2[k1]['接害工龄'] = v1['接害工龄']\n",
|
|
" dict2[k1].setdefault(mbz,{})\n",
|
|
" dict2[k1][mbz]['总结'] = v1['总结']\n",
|
|
" dict2[k1][mbz]['诊断'] = v1['诊断']\n",
|
|
" if '备注' in v1.keys():\n",
|
|
" dict2[k1][mbz]['备注'] = v1['备注']\n",
|
|
" if len(dict2) >0:\n",
|
|
" dict3[k] = dict2\n",
|
|
"with open('data/安庆体检报告_人员整理.json','w') as fl:\n",
|
|
" json.dump(dict3,fl) \n",
|
|
" \n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "30225b10-4307-4617-a274-cce8771e8983",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 病症筛选（Ⅱ级高血压、Ⅲ级高血压、心电图异常）"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "d4867b96-e7ba-420c-9b6d-8bc50eb936ae",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import re\n",
|
|
"with open('data/安庆体检报告_人员整理.json','r') as fl:\n",
|
|
" dict1 = json.load(fl) \n",
|
|
"mo1 = r'心电图结论:(.*?)_x000D_'\n",
|
|
"mo =r'血压:(.*?)_x000D_'\n",
|
|
"mo2 = '(.?)级高血压'\n",
|
|
"dict2 = {}\n",
|
|
"\n",
|
|
"for k, v in dict1.items():\n",
|
|
" bm = k\n",
|
|
" dict2.setdefault(bm,{})\n",
|
|
" for k1, v1 in v.items():\n",
|
|
" dict2[bm].setdefault(k1,{})\n",
|
|
" dict2[bm][k1]['工号'] = v1['工号']\n",
|
|
" dict2[bm][k1]['性别'] = v1['性别']\n",
|
|
" if 'Ⅱ级高血压、Ⅲ级高血压' in v1.keys():\n",
|
|
" \n",
|
|
" s = v1['Ⅱ级高血压、Ⅲ级高血压']['诊断']\n",
|
|
" if '级高血压' in s:\n",
|
|
" list2 = re.search( mo2, s)\n",
|
|
" dict2[bm][k1]['高血压'] = [list2.group(1)]\n",
|
|
" ss = v1['Ⅱ级高血压、Ⅲ级高血压']['总结']\n",
|
|
" if '血压:' in ss:\n",
|
|
" list1 = re.search( mo, ss)\n",
|
|
" dict2[bm][k1]['高血压'].append(list1.group(1))\n",
|
|
" else:\n",
|
|
" dict2[bm][k1]['高血压'].append('无血压数据')\n",
|
|
" if '心电图异常' in v1.keys():\n",
|
|
" dict2[bm][k1].setdefault('心电图',[])\n",
|
|
" ss = v1['心电图异常']['总结']\n",
|
|
" if '心电图结论:' in ss:\n",
|
|
" list1 = re.search( mo1, ss)\n",
|
|
" dict2[bm][k1]['心电图'] = [list1.group(1)]\n",
|
|
" #print(k,k1,list1.group(1),list2.group(1))\n",
|
|
" else:\n",
|
|
" dict2[bm][k1]['心电图'].append(v1['心电图异常']['备注'])\n",
|
|
"print(len(dict2))\n",
|
|
"with open('data/安庆体检报告_人员统计.json','w') as fl:\n",
|
|
" json.dump(dict2,fl) "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "183524e5-61ee-48a9-87f6-f07a78b88504",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 病症导出至Excel"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "c0aa1258-a5f9-44c5-a959-ab29a053c8a4",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import openpyxl\n",
|
|
"import json\n",
|
|
"\n",
|
|
"list1 = []\n",
|
|
"with open('data/安庆体检报告_人员统计.json','r') as fl:\n",
|
|
" dict1 = json.load(fl) \n",
|
|
"for k, v in dict1.items():\n",
|
|
" bm =k\n",
|
|
" for k1, v1 in v.items():\n",
|
|
" #print(bm,k1)\n",
|
|
" list2 = []\n",
|
|
" xm = k1\n",
|
|
" if '工号' in v1.keys():\n",
|
|
" gh = v1['工号']\n",
|
|
" else:\n",
|
|
" gh = ''\n",
|
|
" sex = v1['性别']\n",
|
|
" if '高血压' in v1.keys():\n",
|
|
" lx = v1['高血压'][0]+'级高血压'\n",
|
|
" xyz = v1['高血压'][1]\n",
|
|
" else:\n",
|
|
" lx = ''\n",
|
|
" xyz = ''\n",
|
|
" if '心电图' in v1.keys():\n",
|
|
" xdt = v1['心电图'][0]\n",
|
|
" else:\n",
|
|
" xdt = ''\n",
|
|
" list2 = [bm,xm,gh,sex,lx,xyz,xdt]\n",
|
|
" list1.append(list2)\n",
|
|
"#print(list1) \n",
|
|
"\n",
|
|
"filename = 'data/安庆体检情况表.xlsx'\n",
|
|
"wb = openpyxl.Workbook()\n",
|
|
"sheet = wb.active\n",
|
|
"title = ['部门','员工姓名','工号','性别','高血压级别','血压值','心电图异常情况']\n",
|
|
"sheet.append(title)\n",
|
|
"for row in list1:\n",
|
|
" sheet.append(row)\n",
|
|
"\n",
|
|
"\n",
|
|
"wb.save(filename)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "f2f2f206-2558-4cc3-9519-c4c677b71237",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"filename = 'data/安庆2021.json'\n",
|
|
"item = {}\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl) \n",
|
|
"\n",
|
|
"print(len(dict1))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "fbb13d70-6601-4421-8deb-26e717c37a8c",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 体质问卷管理"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "7e0fe102-69d4-425c-bc1f-9a26cc974d9d",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"source": [
|
|
"### 问卷人员导入"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "714d4a20-9ca0-4439-880b-f68de8c0e2fb",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import openpyxl\n",
|
|
"import json\n",
|
|
"\n",
|
|
"\n",
|
|
"wb = openpyxl.load_workbook('data/2023年安庆石化职工健康提升项目志愿者花名册（修订）.xlsx')\n",
|
|
"sheet = wb.active\n",
|
|
"# sheets = wb.sheetnames\n",
|
|
"person = {}\n",
|
|
"\n",
|
|
"for n in range(4, sheet.max_row+1):\n",
|
|
" code = sheet.cell(n, 1).value\n",
|
|
" person.setdefault(code, {})\n",
|
|
" dict1 = {}\n",
|
|
" dict1['name'] = sheet.cell(n, 3).value\n",
|
|
" dict1['sex'] = sheet.cell(n, 4).value\n",
|
|
" dict1['unit'] = sheet.cell(n, 2).value\n",
|
|
" dict1['age'] = sheet.cell(n, 6).value\n",
|
|
" if sheet.cell(n,5).value is not None:\n",
|
|
" dict1['phone'] = str(sheet.cell(n,5).value) \n",
|
|
" person[code] = dict1\n",
|
|
"filename = 'data/安庆职工健康提升志愿者.json'\n",
|
|
"with open(filename, 'w') as fl:\n",
|
|
" json.dump(person, fl, ensure_ascii=False)\n",
|
|
"print('ok')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "d5babc67-d982-46d0-b6a4-bb8d8ad05895",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 导入问卷内容"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "c5a9111d-2785-4d88-9cbd-0cbc952531b0",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import csv\n",
|
|
"import openpyxl\n",
|
|
"import time\n",
|
|
"from datetime import date\n",
|
|
"\n",
|
|
"dict1 = {}\n",
|
|
"\n",
|
|
"filename = 'data/安庆职工健康提升志愿者.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict3 = json.load(fl)\n",
|
|
"\n",
|
|
"\n",
|
|
"list1 = []\n",
|
|
"filename = 'data/Survey_20240117.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",
|
|
" list1.append(line)\n",
|
|
"#print(list1)\n",
|
|
"dict2 = {}\n",
|
|
"\n",
|
|
"for item in list1:\n",
|
|
" psy = []\n",
|
|
" tcm = []\n",
|
|
" spine = []\n",
|
|
" for i in range(0,45):\n",
|
|
" psy.append(0)\n",
|
|
" for i in range(0,60):\n",
|
|
" tcm.append(0)\n",
|
|
" for i in range(0,26):\n",
|
|
" spine.append(0)\n",
|
|
" phone = item[2]\n",
|
|
" for k1, v1 in dict3.items():\n",
|
|
" if 'phone' in v1.keys() and phone ==v1['phone']: \n",
|
|
" dict1[k1] = dict3[k1]\n",
|
|
" dict1[k1]['month'] = dict1[k1]['age'] *12\n",
|
|
"#print(dict1)\n",
|
|
"for item in list1:\n",
|
|
" psy = []\n",
|
|
" tcm = []\n",
|
|
" spine = []\n",
|
|
" for i in range(0,45):\n",
|
|
" psy.append(0)\n",
|
|
" for i in range(0,60):\n",
|
|
" tcm.append(0)\n",
|
|
" for i in range(0,26):\n",
|
|
" spine.append(0)\n",
|
|
" phone = item[2]\n",
|
|
" for k1, v1 in dict1.items():\n",
|
|
" if phone ==v1['phone']: \n",
|
|
" content = json.loads(item[5])\n",
|
|
" if 'tcm' in item[1] or 'spine' in item[1]:\n",
|
|
" del content['gender']\n",
|
|
" rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
|
" #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
|
" for k, v in content.items():\n",
|
|
" if 'psy' in item[1]: \n",
|
|
" i = int(k[1:])\n",
|
|
" psy[i-1] = int(v)\n",
|
|
" if 'tcm' in item[1]: \n",
|
|
" i = int(k[1:])\n",
|
|
" tcm[i-1] = int(v)\n",
|
|
" if 'spine' in item[1]:\n",
|
|
" i = int(k[1:])\n",
|
|
" spine[i-1] = int(v)\n",
|
|
" if 'psy' in item[1]:\n",
|
|
" #for i in range(5,26):\n",
|
|
" # new_valve = 5-psy[i]\n",
|
|
" # psy[i] = new_valve\n",
|
|
" for i in range(26,40):\n",
|
|
" new_valve = 1+psy[i]\n",
|
|
" psy[i] = new_valve\n",
|
|
" psy[44] = []\n",
|
|
" dict1[k1]['psy'] = psy\n",
|
|
" if 'tcm' in item[1]:\n",
|
|
" if tcm[40] ==0:\n",
|
|
" tcm[40] =1\n",
|
|
" dict1[k1]['tcm'] = tcm\n",
|
|
" if 'spine' in item[1]:\n",
|
|
" dict1[k1]['spine'] = spine\n",
|
|
" #birth = date.fromisoformat(dict3[k1]['birth'].replace('/','-'))\n",
|
|
"\n",
|
|
" #days = (rq-birth).days \n",
|
|
" #dict1[k1]['age'] = int(days/365)\n",
|
|
" \n",
|
|
" dict1[k1]['rq'] = item[6].replace('/','-').split(' ')[0]\n",
|
|
"print(dict1)\n",
|
|
"filename = 'data/result_安庆志愿者.json'\n",
|
|
"\n",
|
|
"with open(filename,'w') as fl:\n",
|
|
" json.dump(dict1, fl, ensure_ascii=False) "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "e8774dfb-d9f5-44af-a118-4a106ceac9fc",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 导出问卷人员信息"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "dcdd18b3-d7b7-49b1-b148-c2ea9a7799ff",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import csv\n",
|
|
"import openpyxl\n",
|
|
"\n",
|
|
"filename = 'data/安庆职工健康提升志愿者.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl) \n",
|
|
"\n",
|
|
"wj = {'psy_0556_sh':'心理问卷','tcm_0556_sh':'中医问卷','spine_0556_sh':'脊柱问卷'}\n",
|
|
"wj_dm = {'psy_0556_sh':0,'tcm_0556_sh':1,'spine_0556_sh':2}\n",
|
|
"list1 = []\n",
|
|
"re_ta = {}\n",
|
|
"filename = 'data/Survey_20240117.csv'\n",
|
|
"with open(filename,'r',newline='') as csv_file:\n",
|
|
" fl = csv.reader(csv_file,delimiter=',')\n",
|
|
" header = next(fl) \n",
|
|
" for line in fl:\n",
|
|
" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
|
|
" list1.append(line)\n",
|
|
"#print(list1)\n",
|
|
"for result in list1:\n",
|
|
" item = str(result[1])\n",
|
|
" re_ta.setdefault(item,[])\n",
|
|
" re_ta[item].append(result[2])\n",
|
|
"print(len(re_ta))\n",
|
|
"\n",
|
|
"tj = {}\n",
|
|
"for k ,v in dict1.items():\n",
|
|
" if 'phone' in v.keys():\n",
|
|
" phone = v['phone']\n",
|
|
" tj.setdefault(k, [0,0,0])\n",
|
|
" for k1,v1 in re_ta.items():\n",
|
|
" if phone in v1:\n",
|
|
" tj[k][wj_dm[k1]] = 1\n",
|
|
"list1 = []\n",
|
|
"for k, v in tj.items():\n",
|
|
" list2 = []\n",
|
|
" list2.append(k)\n",
|
|
" list2.append(dict1[k]['name'])\n",
|
|
" list2.append(dict1[k]['phone'])\n",
|
|
" for item in v:\n",
|
|
" list2.append(item)\n",
|
|
" list1.append(list2)\n",
|
|
" \n",
|
|
"filename = 'data/安庆职工健康提升问卷情况表20240108.xlsx'\n",
|
|
"wb = openpyxl.Workbook()\n",
|
|
"sheet = wb.active\n",
|
|
"title = ['编号','员工姓名','手机号码','心理','中医','脊柱']\n",
|
|
"sheet.append(title)\n",
|
|
"for row in list1:\n",
|
|
" sheet.append(row)\n",
|
|
"wb.save(filename) \n",
|
|
" "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "8bc929e2-38f1-4dbd-820e-65d92b59ab26",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 导统计问卷新增手机号码"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "ea4fffc4-3c6e-4f85-819f-52f969e04dd7",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import csv\n",
|
|
"import openpyxl\n",
|
|
"\n",
|
|
"filename = 'data/安庆职工健康提升志愿者.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl) \n",
|
|
"\n",
|
|
"phone = set()\n",
|
|
"phone1 = set()\n",
|
|
"for k,v in dict1.items():\n",
|
|
" if 'phone' in v.keys():\n",
|
|
" phone.add(v['phone'])\n",
|
|
"\n",
|
|
"filename = 'data/Survey_20240108.csv'\n",
|
|
"with open(filename,'r',newline='') as csv_file:\n",
|
|
" fl = csv.reader(csv_file,delimiter=',')\n",
|
|
" header = next(fl) \n",
|
|
" for line in fl:\n",
|
|
" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
|
|
" list1.append(line)\n",
|
|
"#print(list1)\n",
|
|
"for result in list1:\n",
|
|
" if result[2] not in phone:\n",
|
|
" phone1.add(result[2])\n",
|
|
"for item in phone1:\n",
|
|
" print(item)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "37bf232e-7db1-40a8-b8d6-4a182f839848",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import csv\n",
|
|
"import openpyxl\n",
|
|
"\n",
|
|
"filename = 'data/安庆职工健康提升志愿者.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl) \n",
|
|
"\n",
|
|
"phone = set()\n",
|
|
"phone1 = set()\n",
|
|
"for k,v in dict1.items():\n",
|
|
" phone.add(v['phone'])\n",
|
|
"\n",
|
|
"filename = 'data/Survey_20231018.csv'\n",
|
|
"with open(filename,'r',newline='') as csv_file:\n",
|
|
" fl = csv.reader(csv_file,delimiter=',')\n",
|
|
" header = next(fl) \n",
|
|
" for line in fl:\n",
|
|
" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
|
|
" list1.append(line)\n",
|
|
"#print(list1)\n",
|
|
"for result in list1:\n",
|
|
" if result[2] not in phone:\n",
|
|
" phone1.add(result[2])\n",
|
|
"for item in phone1:\n",
|
|
" print(item)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "40b39da5-67e2-4d98-a7b7-175086dd12c8",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 生成报告"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 31,
|
|
"id": "49880f85-6cda-44a6-a77f-3abd10672d7a",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2024-01-17T05:24:47.910905Z",
|
|
"iopub.status.busy": "2024-01-17T05:24:47.910416Z",
|
|
"iopub.status.idle": "2024-01-17T05:25:11.510859Z",
|
|
"shell.execute_reply": "2024-01-17T05:25:11.510166Z",
|
|
"shell.execute_reply.started": "2024-01-17T05:24:47.910864Z"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"98\n"
|
|
]
|
|
}
|
|
],
|
|
"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_安庆志愿者.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"list1 = []\n",
|
|
"fiie_path ='./安庆职工健康提升/'\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'] = fiie_path+id+'-'+ v['name']+'.pdf'\n",
|
|
" mydata['title'] = '中国石化安庆石化公司'\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",
|
|
" \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": "56a753ee-461e-47de-bf36-58e0bb8971e1",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 报告添加水印"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 35,
|
|
"id": "fc195748-7e7e-4484-9f86-a430e1da79ad",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2024-02-26T08:58:53.318141Z",
|
|
"iopub.status.busy": "2024-02-26T08:58:53.317932Z",
|
|
"iopub.status.idle": "2024-02-26T08:58:57.023478Z",
|
|
"shell.execute_reply": "2024-02-26T08:58:57.023026Z",
|
|
"shell.execute_reply.started": "2024-02-26T08:58:53.318126Z"
|
|
},
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"ok!\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"import os,sys,shutil\n",
|
|
"import json\n",
|
|
"import glob\n",
|
|
"from pathlib import Path\n",
|
|
"import PyPDF2\n",
|
|
"import openpyxl\n",
|
|
"\n",
|
|
"pdfWriter = PyPDF2.PdfWriter() \n",
|
|
"\n",
|
|
"fi_path = '/home/songyi/pdf-typescript/安庆职工健康提升'\n",
|
|
"new_path = 'file/安庆健康志愿者'\n",
|
|
"\n",
|
|
"dict1 ={}\n",
|
|
"wb = openpyxl.load_workbook('data/安庆健康志愿者分组情况表.xlsx')\n",
|
|
"sheet = wb.active\n",
|
|
"# sheets = wb.sheetnames\n",
|
|
"\n",
|
|
"for n in range(2, sheet.max_row+1):\n",
|
|
" code = str(sheet.cell(n, 1).value)\n",
|
|
" dict1[code] = sheet.cell(n, 3).value\n",
|
|
" \n",
|
|
" \n",
|
|
"\n",
|
|
"\n",
|
|
"fls = glob.glob(f'{fi_path}/*.pdf')\n",
|
|
"for fn in fls:\n",
|
|
" reader = PyPDF2.PdfReader(fn)\n",
|
|
" writer = PyPDF2.PdfWriter()\n",
|
|
" num = len(reader.pages)\n",
|
|
" code =str(int(Path(fn).stem.split('-')[0]))\n",
|
|
" if code in dict1.keys():\n",
|
|
" sy_fn = 'data/water/'+dict1[code]+'.pdf'\n",
|
|
" water = PyPDF2.PdfReader(sy_fn).pages[0]\n",
|
|
" for i in range(num):\n",
|
|
" page = reader.pages[i]\n",
|
|
" if i == num -1:\n",
|
|
" page.merge_page(water)\n",
|
|
" writer.add_page(page)\n",
|
|
" with open(f'file/安庆健康志愿者/{Path(fn).stem}.pdf', 'wb') as target_file:\n",
|
|
" writer.write(target_file)\n",
|
|
" \n",
|
|
"print('ok!') "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 33,
|
|
"id": "c3026771-202b-44ed-b94c-7c8a57089cd2",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2024-02-26T08:53:24.880683Z",
|
|
"iopub.status.busy": "2024-02-26T08:53:24.880275Z",
|
|
"iopub.status.idle": "2024-02-26T08:53:24.904212Z",
|
|
"shell.execute_reply": "2024-02-26T08:53:24.902898Z",
|
|
"shell.execute_reply.started": "2024-02-26T08:53:24.880652Z"
|
|
},
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"{'0016': '平和', '0017': '平和', '0047': '平和', '0072': '平和', '0080': '平和', '0099': '平和', '0019': '气虚', '0021': '气虚', '0025': '气虚', '0039': '气虚', '0044': '气虚', '0046': '气虚', '0051': '气虚', '0053': '气虚', '0064': '气虚', '0066': '气虚', '0068': '气虚', '0069': '气虚', '0074': '气虚', '0084': '气虚', '0036': '气郁', '0048': '气郁', '0050': '气郁', '0056': '气郁', '0062': '气郁', '0065': '气郁', '0070': '气郁', '0073': '气郁', '0097': '气郁', '0001': '湿热', '0008': '湿热', '0011': '湿热', '0014': '湿热', '0038': '湿热', '0057': '湿热', '0058': '湿热', '0090': '湿热', '0093': '湿热', '0095': '湿热', '0100': '湿热', '0009': '痰湿', '0012': '痰湿', '0015': '痰湿', '0020': '痰湿', '0026': '痰湿', '0030': '痰湿', '0041': '痰湿', '0077': '痰湿', '0079': '痰湿', '0083': '痰湿', '0085': '痰湿', '0089': '痰湿', '0094': '痰湿', '0101': '痰湿', '0010': '特禀', '0023': '特禀', '0055': '特禀', '0013': '特禀', '0022': '特禀', '0035': '特禀', '0049': '特禀', '0081': '特禀', '0082': '特禀', '0004': '阳虚', '0005': '阳虚', '0006': '阳虚', '0018': '阳虚', '0028': '阳虚', '0029': '阳虚', '0032': '阳虚', '0033': '阳虚', '0034': '阳虚', '0037': '阳虚', '0040': '阳虚', '0045': '阳虚', '0052': '阳虚', '0054': '阳虚', '0059': '阳虚', '0060': '阳虚', '0061': '阳虚', '0063': '阳虚', '0071': '阳虚', '0075': '阳虚', '0076': '阳虚', '0086': '阳虚', '0091': '阳虚', '0092': '阳虚', '0096': '阳虚', '0002': '阴虚', '0003': '阴虚', '0007': '阴虚', '0027': '阴虚', '0031': '阴虚', '0042': '阴虚', '0078': '阴虚', '0088': '阴虚'}\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"import os,sys,shutil\n",
|
|
"import json\n",
|
|
"import glob\n",
|
|
"from pathlib import Path\n",
|
|
"import PyPDF2\n",
|
|
"import openpyxl\n",
|
|
"\n",
|
|
"pdfWriter = PyPDF2.PdfWriter() \n",
|
|
"\n",
|
|
"fi_path = '/home/songyi/python/mycrm/flask/pdf/files/309118_1'\n",
|
|
"new_path = 'file/309118_sy'\n",
|
|
"\n",
|
|
"dict1 ={}\n",
|
|
"wb = openpyxl.load_workbook('data/安庆健康志愿者分组情况表.xlsx')\n",
|
|
"sheet = wb.active\n",
|
|
"# sheets = wb.sheetnames\n",
|
|
"\n",
|
|
"for n in range(2, sheet.max_row+1):\n",
|
|
" code = str(sheet.cell(n, 1).value).rjust(4,\"0\")\n",
|
|
" dict1[code] = sheet.cell(n, 3).value\n",
|
|
"print(dict1)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "cac96c1b-62a6-4301-af95-9200a283f4b4",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.10.12"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|