397 lines
11 KiB
Plaintext
397 lines
11 KiB
Plaintext
{
|
||
"cells": [
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "338fb8da-815a-4536-ae91-4f461ba9401f",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 体测人员导入"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 26,
|
||
"id": "ba24132c-133f-4508-8fe7-e68d1908b6e9",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2024-09-20T08:47:18.577809Z",
|
||
"iopub.status.busy": "2024-09-20T08:47:18.577022Z",
|
||
"iopub.status.idle": "2024-09-20T08:47:18.914709Z",
|
||
"shell.execute_reply": "2024-09-20T08:47:18.914113Z",
|
||
"shell.execute_reply.started": "2024-09-20T08:47:18.577734Z"
|
||
}
|
||
},
|
||
"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/镇海体质监测报名.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, 7).value\n",
|
||
" dict1['gh'] = sheet.cell(n, 5).value\n",
|
||
" dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0] \n",
|
||
" dict1['phone'] = str(sheet.cell(n,4).value)\n",
|
||
" person[code] = dict1\n",
|
||
"filename = 'data/镇海.json'\n",
|
||
"with open(filename, 'w') as fl:\n",
|
||
" json.dump(person, fl, ensure_ascii=False)\n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "10ddfd3b-697c-4459-8bed-147b22f88239",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成读卡系统文件"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 4,
|
||
"id": "63ab2d5b-3a0a-4ac7-a3e7-b3a34e621e98",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2024-09-17T01:49:44.352863Z",
|
||
"iopub.status.busy": "2024-09-17T01:49:44.352020Z",
|
||
"iopub.status.idle": "2024-09-17T01:49:44.374799Z",
|
||
"shell.execute_reply": "2024-09-17T01:49:44.374342Z",
|
||
"shell.execute_reply.started": "2024-09-17T01:49:44.352780Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"ok\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"\n",
|
||
"filename = 'data/镇海.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_镇海.json\", \"w\",encoding = 'utf-8') as file:\n",
|
||
" file.write(json_data) \n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "b6dd08b0-f58c-4dc1-86a9-e7b2b84478c3",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 获取人员测试成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 27,
|
||
"id": "5d864909-d10f-461d-8e6e-dc5c43613576",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2024-09-20T08:48:09.078723Z",
|
||
"iopub.status.busy": "2024-09-20T08:48:09.077996Z",
|
||
"iopub.status.idle": "2024-09-20T08:48:09.151435Z",
|
||
"shell.execute_reply": "2024-09-20T08:48:09.150864Z",
|
||
"shell.execute_reply.started": "2024-09-20T08:48:09.078657Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"934\n",
|
||
"934\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/镇海.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"\n",
|
||
"filename = 'data/places_result_20240920.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",
|
||
" #re_ta[user]['sub_unit'] = dict1[user]['sub_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_镇海.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": "a08c6b65-a390-451b-b1a5-fc474db40035",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 导出测试人员信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 28,
|
||
"id": "bc79f0d2-62a2-40c8-bd74-9c7ff17bec8e",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2024-09-20T08:48:32.839532Z",
|
||
"iopub.status.busy": "2024-09-20T08:48:32.838772Z",
|
||
"iopub.status.idle": "2024-09-20T08:48:33.052265Z",
|
||
"shell.execute_reply": "2024-09-20T08:48:33.051700Z",
|
||
"shell.execute_reply.started": "2024-09-20T08:48:32.839461Z"
|
||
}
|
||
},
|
||
"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_镇海.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/镇海.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/镇海体测情况（截至20240920）.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": "0c2dfa71-8680-4ec6-938d-d37eeba4d4f9",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 统计未体测人员明细表"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 30,
|
||
"id": "cf22739a-5cf3-47fd-b87a-158a2e2d5a95",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2024-09-20T08:49:06.241970Z",
|
||
"iopub.status.busy": "2024-09-20T08:49:06.241223Z",
|
||
"iopub.status.idle": "2024-09-20T08:49:06.291731Z",
|
||
"shell.execute_reply": "2024-09-20T08:49:06.291195Z",
|
||
"shell.execute_reply.started": "2024-09-20T08:49:06.241901Z"
|
||
}
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"filename = 'data/result_镇海.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/镇海1.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.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": "286a65eb-995f-4183-a4e5-6d907ba21151",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 清理重复人员"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 29,
|
||
"id": "f4dade65-f760-4220-8a65-39843688a60a",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2024-09-20T08:48:41.723955Z",
|
||
"iopub.status.busy": "2024-09-20T08:48:41.723229Z",
|
||
"iopub.status.idle": "2024-09-20T08:48:41.926161Z",
|
||
"shell.execute_reply": "2024-09-20T08:48:41.925529Z",
|
||
"shell.execute_reply.started": "2024-09-20T08:48:41.723892Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"1354\n",
|
||
"1298\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"\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",
|
||
" if 'phone' in v.keys():\n",
|
||
" dict2.setdefault(k,{})\n",
|
||
" dict2[k]['name'] = v['name']\n",
|
||
" dict2[k]['phone'] = v['phone']\n",
|
||
"\n",
|
||
"list1 = []\n",
|
||
"for k, v in dict2.items():\n",
|
||
" i = 0\n",
|
||
" for k1, v1 in dict1.items():\n",
|
||
" if v['name']== v1['name'] and v['phone'] == v1['phone'] and k1 != k:\n",
|
||
" list1.append(max(int(k),int(k1)))\n",
|
||
"for item in set(list1):\n",
|
||
" del dict1[str(item)]\n",
|
||
"print(len(dict1))\n",
|
||
"filename = 'data/镇海1.json'\n",
|
||
"\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict1, fl, ensure_ascii=False) \n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "ef930e32-9413-4fb0-b9e4-ba548d89ec60",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3 (ipykernel)",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.12.3"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|