804 lines
26 KiB
Plaintext
804 lines
26 KiB
Plaintext
{
|
||
"cells": [
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "04524c85-988e-4dbf-86eb-939a9db7aa28",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 体测人员导入"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 29,
|
||
"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-10-23T04:40:11.186792Z",
|
||
"iopub.status.busy": "2025-10-23T04:40:11.186527Z",
|
||
"iopub.status.idle": "2025-10-23T04:40:11.243321Z",
|
||
"shell.execute_reply": "2025-10-23T04:40:11.242693Z",
|
||
"shell.execute_reply.started": "2025-10-23T04:40:11.186767Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"412 ok\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import json\n",
|
||
"\n",
|
||
"\n",
|
||
"wb = openpyxl.load_workbook('data/胜利采油厂人员名单.xlsx',data_only=True)\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, 2).value)\n",
|
||
" person.setdefault(code, {})\n",
|
||
" dict1 = {}\n",
|
||
" dict1['name'] = sheet.cell(n, 4).value\n",
|
||
" dict1['sex'] = sheet.cell(n, 5).value\n",
|
||
" dict1['unit'] = sheet.cell(n, 3).value \n",
|
||
" dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0]\n",
|
||
" #dict1['phone'] = sheet.cell(n, 12).value \n",
|
||
" person[code] = dict1\n",
|
||
"filename = 'data/胜利采油厂人员.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": "048a95aa-1691-45f6-b933-6eaf95ae1d30",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成读卡系统文件"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 2,
|
||
"id": "ce406710-6b7d-4c51-98ec-78883bd3ce5f",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-10-22T05:36:04.807935Z",
|
||
"iopub.status.busy": "2025-10-22T05:36:04.807038Z",
|
||
"iopub.status.idle": "2025-10-22T05:36:04.823769Z",
|
||
"shell.execute_reply": "2025-10-22T05:36:04.822605Z",
|
||
"shell.execute_reply.started": "2025-10-22T05:36:04.807861Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"ok\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"\n",
|
||
"filename = 'data/胜利采油厂人员.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_胜利采油厂人员.json\", \"w\",encoding = 'utf-8') as file:\n",
|
||
" file.write(json_data) \n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "a627e5b1-15c7-405b-9c81-2022e1173ed3",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 合并读卡系统文件"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 30,
|
||
"id": "82526579-8902-458d-a097-c2446983fa3f",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-10-23T04:40:17.340605Z",
|
||
"iopub.status.busy": "2025-10-23T04:40:17.339457Z",
|
||
"iopub.status.idle": "2025-10-23T04:40:17.357806Z",
|
||
"shell.execute_reply": "2025-10-23T04:40:17.356944Z",
|
||
"shell.execute_reply.started": "2025-10-23T04:40:17.340544Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"496834 李继升 QHSE监督中心\n",
|
||
"3532664 谭嘉辰 人力资源（组织）部\n",
|
||
"496657 张秀成 企业管理部（三基工作办公室）\n",
|
||
"495136 闫福霞 公共事业服务中心\n",
|
||
"494062 赵霞 公共事业服务中心\n",
|
||
"495293 赵振华 \n",
|
||
"689404 马科 胜利采油厂\n",
|
||
"498782 封莹 胜利采油厂\n",
|
||
"999999 孙振峰 \n",
|
||
"445607 王大明 \n",
|
||
"490000 陆岩玮 信息化服务中心\n",
|
||
"000000 焦瀛 胜利采油厂\n",
|
||
"424 ok\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"\n",
|
||
"filename = 'data/胜利采油厂人员.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/data_胜利采油厂人员(1).json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" list1 = json.load(fl)\n",
|
||
"for item in list1:\n",
|
||
" code = item['id']\n",
|
||
" if code not in dict1.keys():\n",
|
||
" print(code,item['name'],item['unit'])\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/胜利采油厂人员.json'\n",
|
||
"with open(filename, 'w') as fl:\n",
|
||
" json.dump(dict1, fl, ensure_ascii=False)\n",
|
||
"print(len(dict1),'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": 31,
|
||
"id": "970e171e-1360-448f-a28c-520ccb8f314a",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-10-23T04:40:34.626526Z",
|
||
"iopub.status.busy": "2025-10-23T04:40:34.625771Z",
|
||
"iopub.status.idle": "2025-10-23T04:40:34.653754Z",
|
||
"shell.execute_reply": "2025-10-23T04:40:34.653195Z",
|
||
"shell.execute_reply.started": "2025-10-23T04:40:34.626453Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"216\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import datetime\n",
|
||
"import csv\n",
|
||
"from datetime import date\n",
|
||
"import my_module as My\n",
|
||
"\n",
|
||
"filename = 'data/胜利采油厂人员.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"filename = 'data/marks_20251023.csv'\n",
|
||
"re_ta = My.get_result(filename,dict1)\n",
|
||
"\n",
|
||
"\n",
|
||
"filename = 'data/result_胜利采油厂.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": "6d381859-6d21-45d2-8313-55ebbabf8bd4",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成测试得分"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "0905ad6a-f7e4-43ed-ae29-c4850deb946b",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-10-27T01:50:10.738997Z",
|
||
"iopub.status.busy": "2025-10-27T01:50:10.738633Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"ok!\n"
|
||
]
|
||
}
|
||
],
|
||
"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_胜利采油厂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_胜利采油厂1.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
||
"print('ok!') "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "3f7a810e-2a5f-4856-8119-bfe299b71f92",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 补充人员信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 43,
|
||
"id": "9c3b7195-b7f3-4355-90bc-9f1ae322641d",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-10-27T01:22:18.116597Z",
|
||
"iopub.status.busy": "2025-10-27T01:22:18.116000Z",
|
||
"iopub.status.idle": "2025-10-27T01:22:18.187150Z",
|
||
"shell.execute_reply": "2025-10-27T01:22:18.186557Z",
|
||
"shell.execute_reply.started": "2025-10-27T01:22:18.116559Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"ok!\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import json\n",
|
||
"\n",
|
||
"\n",
|
||
"wb = openpyxl.load_workbook('data/胜利采油厂测试情况明细表(补充人员信息).xlsx',data_only=True)\n",
|
||
"sheet = wb.active\n",
|
||
"# sheets = wb.sheetnames\n",
|
||
"dict1 = {}\n",
|
||
"\n",
|
||
"filename = 'data/result_胜利采油厂.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl) \n",
|
||
"list1 = []\n",
|
||
"for n in range(2, sheet.max_row+1):\n",
|
||
" code = int(sheet.cell(n, 1).value)\n",
|
||
" unit = sheet.cell(n, 4).value\n",
|
||
" dict1[code] = unit\n",
|
||
"for k, v in dict2.items():\n",
|
||
" if int(k) not in dict1.keys():\n",
|
||
" list1.append(k)\n",
|
||
" else:\n",
|
||
" dict2[k]['unit'] = dict1[int(k)]\n",
|
||
"for item in list1:\n",
|
||
" del dict2[item]\n",
|
||
"filename = f'data/result_胜利采油厂1.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
||
"print('ok!') \n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "d034a61d-1fbd-417b-99bd-277e43ebb678",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 导出测试人员信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 32,
|
||
"id": "867ad6b0-9e9d-48bc-a10a-3b9cb6125890",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-10-23T04:41:25.970953Z",
|
||
"iopub.status.busy": "2025-10-23T04:41:25.969895Z",
|
||
"iopub.status.idle": "2025-10-23T04:41:26.058240Z",
|
||
"shell.execute_reply": "2025-10-23T04:41:26.057610Z",
|
||
"shell.execute_reply.started": "2025-10-23T04:41:25.970875Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"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_胜利采油厂.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/胜利采油厂人员.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(8,'0'))\n",
|
||
" list2.append(v['name']) \n",
|
||
" list2.append(dict2[k]['sex'])\n",
|
||
" list2.append(dict2[k]['unit'])\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/胜利采油厂测试情况明细表.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)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "8d5f4103-0d1e-4711-b324-ece360f8dcd3",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 生成报告"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "23ffd115-72a3-4f90-9e64-ffa6420df8a4",
|
||
"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_南京化工-2.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"list1 = []\n",
|
||
"file_path ='./南京化工第二批问卷/'\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'] = '南化公司'\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','psy57','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": "007a67c3-3590-47d9-a6d3-9080574a7940",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 生成报告(单问卷)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 20,
|
||
"id": "fc2bfab2-7f56-4abf-b2c4-0fb49a0da563",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2025-09-01T07:20:49.606201Z",
|
||
"iopub.status.busy": "2025-09-01T07:20:49.605939Z",
|
||
"iopub.status.idle": "2025-09-01T07:21:08.746449Z",
|
||
"shell.execute_reply": "2025-09-01T07:21:08.745281Z",
|
||
"shell.execute_reply.started": "2025-09-01T07:20:49.606179Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"83\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_南京化工-2.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"list1 = []\n",
|
||
"file_path ='./南京化工第二批问卷/'\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)\n",
|
||
" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
|
||
" mydata['title'] = '南化公司'\n",
|
||
" mydata['subtitle'] = v['unit']\n",
|
||
" mydata['id'] = id\n",
|
||
" mydata['name'] = v['name']\n",
|
||
" if v['sex'] == 'm':\n",
|
||
" mydata['gender'] = 'male'\n",
|
||
" else:\n",
|
||
" mydata['gender'] = 'female'\n",
|
||
" \n",
|
||
" #mydata['month'] = v['month']\n",
|
||
" #mydata['fits'] = {}\n",
|
||
" survey_list = ['tcm','psy57','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",
|
||
" if 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": "42f1a67c-756a-4cf0-bd53-d71fb9c95aa6",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 导入体检报告数据"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "c2fb2c7c-6541-4c41-ba38-0e1fee29aa97",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from pathlib import Path\n",
|
||
"import json\n",
|
||
"import shutil\n",
|
||
"\n",
|
||
"\n",
|
||
"target_directory = Path('./data/json')\n",
|
||
"filename = 'data/南京化工人员.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"# 遍历目标目录及其子目录获取所有文件\n",
|
||
"dict2 = {}\n",
|
||
"list2 = ['总胆固醇','甘油三酯','尿微量白蛋白']\n",
|
||
"for fl in target_directory.glob('*.json'):\n",
|
||
" if fl.is_file():\n",
|
||
" code = fl.stem\n",
|
||
" dict2.setdefault(code,{})\n",
|
||
" dict2[code] = dict1[code]\n",
|
||
" with open(fl,'r') as fl1:\n",
|
||
" dict3 = json.load(fl1)\n",
|
||
" for k, v in dict3.items():\n",
|
||
" if k =='血压情况' and len(v)>0:\n",
|
||
" dict2[code].setdefault('血压',{})\n",
|
||
" list1 = [] \n",
|
||
" for item in v:\n",
|
||
" \n",
|
||
" dict2[code]['血压'][item['项目']] = item['结果']\n",
|
||
" if '状态' in item.keys():\n",
|
||
" list1.append(item['项目']+item['状态'])\n",
|
||
" if len(list1)>0:\n",
|
||
" dict2[code]['血压']['状态'] = ','.join(list1)\n",
|
||
" \n",
|
||
" if k in list2:\n",
|
||
" dict2[code].setdefault(k,{})\n",
|
||
" dict2[code][k]['结果'] = v['结果']\n",
|
||
" dict2[code][k]['参考值'] = v['参考值']\n",
|
||
" if '状态' in v.keys():\n",
|
||
" dict2[code][k]['状态'] = v['状态']\n",
|
||
" if k in ['空腹血糖','糖化血红蛋白']:\n",
|
||
" dict2[code].setdefault(k,{})\n",
|
||
" if '结果' in v.keys():\n",
|
||
" dict2[code][k]['结果'] = v['结果']\n",
|
||
" dict2[code][k]['参考值'] = v['参考值']\n",
|
||
" if '状态' in v.keys():\n",
|
||
" dict2[code][k]['状态'] = v['状态']\n",
|
||
" if k in ['ALT、AST、GGT','TSH、FT3、FT4']:\n",
|
||
" for item in v:\n",
|
||
" xm = item['项目']\n",
|
||
" dict2[code].setdefault(xm,{})\n",
|
||
" if '结果' in item.keys():\n",
|
||
" dict2[code][xm]['结果'] = item['结果']\n",
|
||
" if '参考值' in item.keys():\n",
|
||
" dict2[code][xm]['参考值'] = item['参考值']\n",
|
||
" if '状态' in item.keys():\n",
|
||
" dict2[code][xm]['状态'] = item['状态']\n",
|
||
" if k =='肾功能与尿微量白蛋白':\n",
|
||
" for item in v['肾功能']:\n",
|
||
" xm = item['项目']\n",
|
||
" dict2[code].setdefault(xm,{})\n",
|
||
" if '结果' in item.keys():\n",
|
||
" dict2[code][xm]['结果'] = item['结果']\n",
|
||
" if '参考值' in item.keys():\n",
|
||
" dict2[code][xm]['参考值'] = item['参考值']\n",
|
||
" if '状态' in item.keys():\n",
|
||
" dict2[code][xm]['状态'] = item['状态'] \n",
|
||
" dict2[code].setdefault('尿微量白蛋白',{})\n",
|
||
" xm = v['尿微量白蛋白']\n",
|
||
" if '结果' in xm.keys() and len(xm['结果'])>0:\n",
|
||
" dict2[code]['尿微量白蛋白']['结果'] = xm['结果']\n",
|
||
" if '参考值' in xm.keys() and len(xm['参考值'])>0:\n",
|
||
" dict2[code]['尿微量白蛋白']['参考值'] = xm['参考值']\n",
|
||
" if '状态' in xm.keys():\n",
|
||
" dict2[code]['尿微量白蛋白']['状态'] = xm['状态'] \n",
|
||
" \n",
|
||
" \n",
|
||
"\n",
|
||
"filename = 'data/南京化工体检情况.json'\n",
|
||
"\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict2, fl, ensure_ascii=False) "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "da43ceef-4215-4187-a76d-4e1434e50043",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 导出体检报告数据"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "daa1b36e-1b62-49ee-9539-84c2d286fefe",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import csv\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"filename = 'data/南京化工体检情况.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"list1 = [\"总胆固醇\",\"甘油三酯\",\"空腹血糖\",\"糖化血红蛋白\",\"谷丙转氨酶 (ALT)\",\"谷草转氨酶 (AST)\",\"γ- 谷氨酰转肽酶 (GGT)\",\"促甲状腺激素 (TSH)\",\"游离三碘甲状腺原氨酸 (FT3)\",\"游离甲状腺素 (FT4)\",\"肌酐\",\"尿素氮\",\"尿酸\",\"尿微量白蛋白\"]\n",
|
||
"title = ['编号','姓名','性别','血压','状态']\n",
|
||
"for item in list1:\n",
|
||
" title.append(item)\n",
|
||
" title.append('状态')\n",
|
||
"list3 = []\n",
|
||
"for k, v in dict1.items():\n",
|
||
" list2 = []\n",
|
||
" list2.append(k)\n",
|
||
" list2.append(v['name'])\n",
|
||
" list2.append(v['sex'])\n",
|
||
" if '血压' in v.keys():\n",
|
||
" xueya = v['血压']['舒张压']+'/'+v['血压']['收缩压']\n",
|
||
" if '状态' in v['血压'].keys():\n",
|
||
" zt = v['血压']['状态']\n",
|
||
" else:\n",
|
||
" zt = ''\n",
|
||
" else:\n",
|
||
" xueya = ''\n",
|
||
" zt = ''\n",
|
||
" \n",
|
||
" list2.append(xueya)\n",
|
||
" list2.append(zt)\n",
|
||
" for item in list1:\n",
|
||
" if item in v.keys() and '结果' in v[item]:\n",
|
||
" list2.append(v[item]['结果'])\n",
|
||
" if '状态' in v[item]:\n",
|
||
" list2.append(v[item]['状态'])\n",
|
||
" else:\n",
|
||
" list2.append('')\n",
|
||
" else:\n",
|
||
" list2.append('')\n",
|
||
" list2.append('') \n",
|
||
" list3.append(list2)\n",
|
||
"\n",
|
||
"filename = 'data/南京化工体检相关数据明细.xlsx'\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"sheet.append(title)\n",
|
||
"for row in list3:\n",
|
||
" sheet.append(row)\n",
|
||
" \n",
|
||
"wb.save(filename)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "221b35dc-3a17-4950-993c-b634ee9a53cf",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from spire.pdf.common import *\n",
|
||
"from spire.pdf import *\n",
|
||
"\n",
|
||
"# 创建PdfDocument类的实例\n",
|
||
"pdf = PdfDocument()\n",
|
||
"\n",
|
||
"# 加载PDF文档\n",
|
||
"pdf.LoadFromFile(\"file/北海体检报告/2405280074.pdf\")\n",
|
||
"\n",
|
||
"# 将PDF转换为Markdown文件\n",
|
||
"pdf.SaveToFile(\"PDF转Markdown.md\", FileFormat.Markdown)\n",
|
||
"pdf.Close()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "1b9d4042-5e73-44e3-8079-eee2c5be1858",
|
||
"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
|
||
}
|