430 lines
13 KiB
Plaintext
430 lines
13 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "eaf32c48-d935-4780-9272-8f5ddddf80e5",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 体测人员导入"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 29,
|
|
"id": "3d5ddc7a-a331-438d-aa8d-1ad74c7250d0",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2024-12-24T04:10:44.463102Z",
|
|
"iopub.status.busy": "2024-12-24T04:10:44.462345Z",
|
|
"iopub.status.idle": "2024-12-24T04:10:44.481670Z",
|
|
"shell.execute_reply": "2024-12-24T04:10:44.480911Z",
|
|
"shell.execute_reply.started": "2024-12-24T04:10:44.463032Z"
|
|
}
|
|
},
|
|
"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/新疆体测人员.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['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0] \n",
|
|
" \n",
|
|
" person[code] = dict1\n",
|
|
"filename = 'data/新疆人员.json'\n",
|
|
"with open(filename, 'w') as fl:\n",
|
|
" json.dump(person, fl, ensure_ascii=False)\n",
|
|
"print('ok')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 37,
|
|
"id": "7b218973-965d-4324-9553-d8e7ddfda4cd",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2024-12-24T14:48:29.843853Z",
|
|
"iopub.status.busy": "2024-12-24T14:48:29.843106Z",
|
|
"iopub.status.idle": "2024-12-24T14:48:29.865282Z",
|
|
"shell.execute_reply": "2024-12-24T14:48:29.864798Z",
|
|
"shell.execute_reply.started": "2024-12-24T14:48:29.843783Z"
|
|
}
|
|
},
|
|
"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/城东中心党委.xlsx')\n",
|
|
"sheet = wb.active\n",
|
|
"# sheets = wb.sheetnames\n",
|
|
"person = {}\n",
|
|
"\n",
|
|
"for n in range(3, 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['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0] \n",
|
|
" dict1['unit'] = sheet.cell(n, 5).value\n",
|
|
" person[code] = dict1\n",
|
|
"filename = 'data/新疆人员.json'\n",
|
|
"with open(filename, 'w') as fl:\n",
|
|
" json.dump(person, fl, ensure_ascii=False)\n",
|
|
"print('ok')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "e505049e-9bd9-4230-8074-93e37b82419c",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 生成读卡系统文件"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 38,
|
|
"id": "3849dc10-8fd1-4acf-b9a7-872327456f6a",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2024-12-24T14:48:31.958016Z",
|
|
"iopub.status.busy": "2024-12-24T14:48:31.957269Z",
|
|
"iopub.status.idle": "2024-12-24T14:48:31.967735Z",
|
|
"shell.execute_reply": "2024-12-24T14:48:31.966636Z",
|
|
"shell.execute_reply.started": "2024-12-24T14:48:31.957950Z"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"ok\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"import json\n",
|
|
"\n",
|
|
"filename = 'data/新疆人员.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/card_新疆.json\", \"w\",encoding = 'utf-8') as file:\n",
|
|
" file.write(json_data) \n",
|
|
"print('ok')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "faf346a5-3b0e-414e-ab64-dbde3b8c3dbd",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 获取人员测试成绩"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 30,
|
|
"id": "72ec680f-ec0d-44f9-919c-17c8e614b885",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2024-12-24T04:10:51.916961Z",
|
|
"iopub.status.busy": "2024-12-24T04:10:51.916210Z",
|
|
"iopub.status.idle": "2024-12-24T04:10:51.929768Z",
|
|
"shell.execute_reply": "2024-12-24T04:10:51.928679Z",
|
|
"shell.execute_reply.started": "2024-12-24T04:10:51.916890Z"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"1\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"import json\n",
|
|
"import datetime\n",
|
|
"import csv\n",
|
|
"from datetime import date\n",
|
|
"\n",
|
|
"\n",
|
|
"re_ta = {}\n",
|
|
"list1 = []\n",
|
|
"filename = 'data/新疆人员.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl) \n",
|
|
"\n",
|
|
"filename = 'data/marks_20241224.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",
|
|
"\n",
|
|
"for result in list1:\n",
|
|
" user = str(result[2])\n",
|
|
" rq = date.fromisoformat(result[5].replace('/','-'))\n",
|
|
" if user in dict1.keys():\n",
|
|
" l_xm = []\n",
|
|
" m_item = str(result[3]) \n",
|
|
" re_ta.setdefault(user,{}) \n",
|
|
" re_ta[user]['name'] = dict1[user]['name']\n",
|
|
" re_ta[user]['sex'] = dict1[user]['sex']\n",
|
|
" if 'phone' in dict1[user].keys():\n",
|
|
" re_ta[user]['phone'] = dict1[user]['phone']\n",
|
|
" if dict1[user]['sex'] == '男':\n",
|
|
" l_xm = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
|
|
" else:\n",
|
|
" l_xm = ['bmi','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
|
|
" #re_ta[user]['unit'] = dict1[user]['unit']\n",
|
|
" birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
|
|
" item_name = result[3] \n",
|
|
" if item_name in l_xm: \n",
|
|
" days = (rq-birth).days \n",
|
|
" re_ta[user]['age'] = int(days/365)\n",
|
|
" re_ta[user]['month'] = int(days/365*12)\n",
|
|
" re_ta[user]['rq'] = result[5]\n",
|
|
" re_ta[user].setdefault(item_name,{}) \n",
|
|
" score = result[4] \n",
|
|
" re_ta[user][item_name]['成绩'] = score\n",
|
|
"\n",
|
|
"filename = 'data/result_新疆人员.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": "a68d4f7f-d23a-4649-99eb-ce13b6027414",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 生成测试得分"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 31,
|
|
"id": "8f459ed3-fc14-404f-998b-5ed2a15958c3",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2024-12-24T04:10:56.430593Z",
|
|
"iopub.status.busy": "2024-12-24T04:10:56.429864Z",
|
|
"iopub.status.idle": "2024-12-24T04:10:56.441856Z",
|
|
"shell.execute_reply": "2024-12-24T04:10:56.440815Z",
|
|
"shell.execute_reply.started": "2024-12-24T04:10:56.430526Z"
|
|
}
|
|
},
|
|
"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_新疆人员.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_新疆人员.json'\n",
|
|
"with open(filename,'w') as fl:\n",
|
|
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
|
"print('ok!') "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "f86b0f59-c1f6-4523-aefd-854f04305ec9",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 生成报告"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 32,
|
|
"id": "9e843585-fef3-4f5c-baae-76e711f2a42f",
|
|
"metadata": {
|
|
"execution": {
|
|
"iopub.execute_input": "2024-12-24T04:10:59.919975Z",
|
|
"iopub.status.busy": "2024-12-24T04:10:59.919307Z",
|
|
"iopub.status.idle": "2024-12-24T04:11:00.529956Z",
|
|
"shell.execute_reply": "2024-12-24T04:11:00.528814Z",
|
|
"shell.execute_reply.started": "2024-12-24T04:10:59.919919Z"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"1\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_新疆人员.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"list1 = []\n",
|
|
"file_path ='./新疆/'\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(5,\"0\")\n",
|
|
" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
|
|
" mydata['title'] = '新疆'\n",
|
|
" mydata['subtitle'] = ''#v['unit']\n",
|
|
" mydata['id'] = id\n",
|
|
" mydata['name'] = v['name']\n",
|
|
" if v['sex'] == '男':\n",
|
|
" mydata['gender'] = 'male'\n",
|
|
" else:\n",
|
|
" mydata['gender'] = 'female'\n",
|
|
" \n",
|
|
" mydata['month'] = v['month']\n",
|
|
" mydata['fits'] = {}\n",
|
|
" survey_list = ['tcm','psy','spine']\n",
|
|
" for item in survey_list:\n",
|
|
" if item in v.keys():\n",
|
|
" mydata.setdefault('surveys',{})\n",
|
|
" mydata['surveys'][item] = v[item]\n",
|
|
" \n",
|
|
" \n",
|
|
" #mydata['fits'] = {}\n",
|
|
" for item in list_item:\n",
|
|
" if item in v.keys():\n",
|
|
" mydata.setdefault('fits',{})\n",
|
|
" if item in ['lung','pushup','step','situp']:\n",
|
|
" mark = v[item]['成绩'].split()[0].split('.')[0]\n",
|
|
" else:\n",
|
|
" mark = v[item]['成绩'].split()[0]\n",
|
|
" mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
|
|
" #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n",
|
|
" if len(mydata['fits']) >2 : \n",
|
|
" list1.append(mydata)\n",
|
|
" list2.append([k,v['name']])\n",
|
|
" i+=1\n",
|
|
" x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n",
|
|
" #print(id,v['name'],x.text)\n",
|
|
" #print(mydata)\n",
|
|
" #x.close()\n",
|
|
"print(i)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "13722e88-9f6a-421e-8fb3-2fccd0741452",
|
|
"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
|
|
}
|