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512song committed 2023-12-06 05:25:00 +00:00
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{
"cells": [
{
"cell_type": "markdown",
"id": "04524c85-988e-4dbf-86eb-939a9db7aa28",
"metadata": {},
"source": [
"## 体测人员导入"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
"metadata": {
"execution": {
"iopub.execute_input": "2023-12-06T04:07:22.791779Z",
"iopub.status.busy": "2023-12-06T04:07:22.791005Z",
"iopub.status.idle": "2023-12-06T04:07:22.864632Z",
"shell.execute_reply": "2023-12-06T04:07:22.863021Z",
"shell.execute_reply.started": "2023-12-06T04:07:22.791705Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"source": [
"import openpyxl\n",
"import json\n",
"from datetime import date\n",
"\n",
"wb = openpyxl.load_workbook('data/青海员工个人健康档案名单.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, 3).value\n",
" dict1['sex'] = sheet.cell(n, 4).value\n",
" dict1['unit'] = sheet.cell(n, 2).value\n",
" dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0] \n",
" dict1['phone'] = str(sheet.cell(n,6).value)\n",
" person[code] = dict1\n",
"filename = 'data/青海.json'\n",
"with open(filename, 'w') as fl:\n",
" json.dump(person, fl, ensure_ascii=False)\n",
"print('ok')"
]
},
{
"cell_type": "markdown",
"id": "048a95aa-1691-45f6-b933-6eaf95ae1d30",
"metadata": {},
"source": [
"## 生成读卡系统文件"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "ce406710-6b7d-4c51-98ec-78883bd3ce5f",
"metadata": {
"execution": {
"iopub.execute_input": "2023-12-06T04:07:25.580543Z",
"iopub.status.busy": "2023-12-06T04:07:25.580096Z",
"iopub.status.idle": "2023-12-06T04:07:25.602275Z",
"shell.execute_reply": "2023-12-06T04:07:25.599401Z",
"shell.execute_reply.started": "2023-12-06T04:07:25.580484Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"source": [
"import json\n",
"\n",
"filename = 'data/青海.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/data_青海.json\", \"w\",encoding = 'utf-8') as file:\n",
" file.write(json_data) \n",
"print('ok')"
]
},
{
"cell_type": "markdown",
"id": "6bcd45c2-10af-4d5f-9e0b-5cd1df4f7a7f",
"metadata": {},
"source": [
"## 获取人员测试成绩"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "970e171e-1360-448f-a28c-520ccb8f314a",
"metadata": {
"execution": {
"iopub.execute_input": "2023-11-26T12:31:39.094899Z",
"iopub.status.busy": "2023-11-26T12:31:39.094370Z",
"iopub.status.idle": "2023-11-26T12:31:39.114981Z",
"shell.execute_reply": "2023-11-26T12:31:39.114071Z",
"shell.execute_reply.started": "2023-11-26T12:31:39.094860Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"16\n",
"16\n"
]
}
],
"source": [
"import json\n",
"import time\n",
"import csv\n",
"\n",
"filename = '../item.json'\n",
"item = {}\n",
"unit = {}\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"for k,v in dict1.items():\n",
" item[k] = v\n",
"re_ta = {}\n",
"dict1 = {}\n",
"list1 = []\n",
"filename = 'data/北京党校.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"\n",
"filename = 'data/places_result_20231126.csv'\n",
"with open(filename,'r',newline='') as csv_file:\n",
" fl = csv.reader(csv_file,delimiter=',')\n",
" header = next(fl) \n",
" for line in fl:\n",
" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
" list1.append(line)\n",
"#print(list1)\n",
"for result in list1:\n",
" user = str(result[2])\n",
" if user in dict1.keys(): \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",
" re_ta[user]['unit'] = dict1[user]['unit']\n",
" item_name = item[m_item]['name']\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_北京党校20231126.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": "d034a61d-1fbd-417b-99bd-277e43ebb678",
"metadata": {},
"source": [
"## 导出测试人员信息"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "867ad6b0-9e9d-48bc-a10a-3b9cb6125890",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import json\n",
"import openpyxl\n",
"\n",
"items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
"title = ['编号','姓名','性别','单位','部门','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
"\n",
"filename = 'data/result_北京党校.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"\n",
"filename = 'data/北京党校.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",
" for item in items:\n",
" if item in v.keys():\n",
" list2.append(v[item]['成绩']) \n",
" elif item =='name':\n",
" list2.append(v[item])\n",
" else:\n",
" list2.append('') \n",
" list1.append(list2)\n",
"filename = 'data/北京党校.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": "699c6a40-a6ae-4300-9646-708cb85aa5e8",
"metadata": {},
"source": [
"## 手工数据导入数据库"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "def3f47a-24ef-4815-b63b-2a16b79b4c15",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import openpyxl\n",
"import json\n",
"\n",
"filename = 'data/北京党校.json'\n",
"with open(filename,'r') as fl:\n",
" dict2 = json.load(fl)\n",
"wb = openpyxl.load_workbook('data/北京党校手工数据.xlsx')\n",
"sheet = wb.active\n",
"# sheets = wb.sheetnames\n",
"dict1 = {}\n",
"dict3 = {1:10,2:11,3:7,4:2,5:6,6:3,7:1}\n",
"sheet = wb.active\n",
"data1 =list(sheet.values)\n",
"del data1[0]\n",
"list1 = []\n",
"for item in data1:\n",
" code = int(item[0])\n",
" list1.append((496534,code,item[2],item[1],'2023-10-15','2023-10-15 14:00:00'))\n",
"print(list1)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "67e63f07-3f20-4e0e-9c07-7bf6024eeb4b",
"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
}