869 lines
27 KiB
Plaintext
869 lines
27 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "d4d999fe-4890-4a14-b1e8-52dbd6d42e73",
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"metadata": {},
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"source": [
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"## 导入人员信息"
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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": "3154fc8c-0e91-4cda-ba75-666dc7bbb34d",
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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/student_20140922长炼医院监测花名册.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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" if sheet.cell(n,1).value is not None:\n",
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" code = int(sheet.cell(n, 4).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, 6).value\n",
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" if int(sheet.cell(n, 7).value) ==1:\n",
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" sex = '男'\n",
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" else:\n",
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" sex = '女'\n",
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" dict1['sex'] = sex\n",
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" birth = str(sheet.cell(n, 8).value).split()[0]\n",
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" dict1['birth'] = birth\n",
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" dict1['unit'] = sheet.cell(n, 3).value\n",
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" person[code] = dict1\n",
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"filename = 'data/长炼医院人员名单.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": "31d36f3c-f046-40a9-bf90-ba139fdcce3a",
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"metadata": {},
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"source": [
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"## 新增人员信息"
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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": "5cea2f5e-37fc-4857-8455-090a634a1c0a",
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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/长炼医院新增监测花名册（水务部）.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"filename = 'data/长炼医院人员名单.json'\n",
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"with open(filename,'r') as fl:\n",
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" person = json.load(fl) \n",
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"print(len(person))\n",
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"for n in range(2, sheet.max_row+1):\n",
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" if sheet.cell(n,1).value is not None:\n",
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" code = int(sheet.cell(n, 4).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, 6).value\n",
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" if int(sheet.cell(n, 7).value) ==1:\n",
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" sex = '男'\n",
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" else:\n",
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" sex = '女'\n",
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" dict1['sex'] = sex\n",
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" birth = str(sheet.cell(n, 8).value).split()[0]\n",
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" dict1['birth'] = birth\n",
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" dict1['unit'] = sheet.cell(n, 3).value\n",
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" person[code] = dict1\n",
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"filename = 'data/长炼医院人员名单.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')\n",
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"print(len(person))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "56e4caa4-cf9d-4fdc-99c4-86f5e92afdfa",
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"metadata": {},
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"source": [
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"## 补充员工编号"
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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": "0bdfe5e6-40e1-432d-85b4-ddb9e8d3dd90",
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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/长炼医院体测人员编号情况表.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"filename = 'data/长炼医院人员名单.json'\n",
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"with open(filename,'r') as fl:\n",
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" person = json.load(fl) \n",
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"print(len(person))\n",
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"for n in range(2, sheet.max_row+1):\n",
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" if sheet.cell(n,1).value is not None:\n",
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" code = str(sheet.cell(n, 1).value)\n",
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" ygbh = str(sheet.cell(n, 6).value)\n",
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" if code in person.keys():\n",
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" person[code]['code'] = ygbh\n",
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" #print(code,person[code]['name'],ygbh)\n",
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"filename = 'data/长炼医院人员名单.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": "1597f17a-1d9c-4d2c-9273-3afa8147c72e",
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"metadata": {},
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"source": [
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"## 单独新增人员信息"
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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": "d6fde6c4-d696-4eb9-a73e-a7cc7018b62c",
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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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"filename = 'data/长炼医院人员名单.json'\n",
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"with open(filename,'r') as fl:\n",
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" person = json.load(fl) \n",
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"code = '3297'\n",
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"name = '何治国'\n",
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"sex = '男'\n",
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"birth = '1982/02/15'\n",
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"unit = '长炼医院外二科'\n",
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"person[code] = {'name':name,'sex':sex,'birth':birth,'unit':unit}\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')\n",
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"print(len(person))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "96d5b4bd-4198-4725-9005-070ac4e4f324",
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"metadata": {},
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"source": [
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"## 每日成绩导入"
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]
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},
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{
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"cell_type": "code",
|
|
"execution_count": null,
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|
"id": "4b52477e-926a-44b5-b8a0-20bff98d101d",
|
|
"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 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",
|
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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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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/长炼医院人员名单.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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"rq = '20230830'\n",
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"filename = f'data/places_result_{rq}.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",
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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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"#print(list1)\n",
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"for result in list1:\n",
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" user = str(result[2])\n",
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" if user in dict1.keys(): \n",
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" m_item = str(result[3]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex'] \n",
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" re_ta[user]['unit'] = dict1[user]['unit']\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[4])/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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"print(len(re_ta))\n",
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"\n",
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"filename = 'data/result_长炼医院.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl, ensure_ascii=False) \n",
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"print(len(re_ta))\n"
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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": "033cc564-4aa9-4e88-b38b-ec62a02b1661",
|
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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 datetime\n",
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"import csv\n",
|
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"from datetime import date\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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"item['1']['en'] = 'lung'\n",
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"item['2']['en'] = 'grip'\n",
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"item['3']['en'] = 'flexion'\n",
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"item['4']['en'] = 'jump'\n",
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"item['5']['en'] = 'pushup'\n",
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"item['6']['en'] = 'balance'\n",
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"item['7']['en'] = 'reaction'\n",
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"item['8']['en'] = 'step'\n",
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"item['9']['en'] = 'situp'\n",
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"item['10']['en'] = 'height'\n",
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"item['11']['en'] = 'weight'\n",
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"\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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"filename = 'data/长炼医院人员名单.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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"filename = 'data/places_result_20230830.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",
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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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"#f_item = ['lung','grip','flexion','jump','balance','reaction','step','situp']\n",
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"#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
|
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"for result in list1:\n",
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" user = str(result[2])\n",
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" if user in dict1.keys():\n",
|
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" l_xm = []\n",
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" m_item = str(result[3]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex']\n",
|
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" if dict1[user]['sex'] == '男':\n",
|
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" l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
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" else:\n",
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" l_xm = ['weight','height','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
|
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" re_ta[user]['unit'] = dict1[user]['unit']\n",
|
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" birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
|
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" #nian = int(birth[0].strip())\n",
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" #yue = int(birth[1].strip())\n",
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" #ri = int(birth[2].strip())\n",
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" #print(k,nian,yue,ri)\n",
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" item_name = item[m_item]['en'] \n",
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" if item_name in l_xm: \n",
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" days = (datetime.date(2023, 8, 29)-birth).days \n",
|
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" re_ta[user]['age'] = int(days/365)\n",
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" re_ta[user]['month'] = int(days/365*12)\n",
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"\n",
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"\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = int(result[4])/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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"print(len(re_ta))\n",
|
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"filename = 'data/result_长炼医院.json'\n",
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"\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl, ensure_ascii=False) \n",
|
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"print(len(re_ta))"
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]
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},
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{
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|
"cell_type": "markdown",
|
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"id": "f220ffba-d172-4b6f-8238-c3a2d6c87ed4",
|
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"metadata": {},
|
|
"source": [
|
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"## 每日成绩导出"
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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": "2ffa583b-be51-40a8-bb55-de6a89d1a54a",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
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"import json\n",
|
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"import openpyxl\n",
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"\n",
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"#rq = '20230510'\n",
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"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",
|
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"title = ['编号','姓名','性别','单位','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",
|
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"filename = f'data/result_长炼医院（{rq}).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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"filename = 'data/长炼医院人员名单.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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"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(str(k).rjust(5,'0'))\n",
|
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" list2.append(v['name']) \n",
|
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" list2.append(dict2[k]['sex'])\n",
|
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" list2.append(dict2[k]['unit']) \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",
|
|
"filename = f'data/长炼医院体测情况表({rq}).xlsx'\n",
|
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"wb = openpyxl.Workbook()\n",
|
|
"sheet = wb.active\n",
|
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"sheet.append(title)\n",
|
|
"for row in list1:\n",
|
|
" sheet.append(row)\n",
|
|
"wb.save(filename)"
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]
|
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},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "be9ba440-3978-4a26-96a8-a0ec4a4f307f",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 人员信息表导出"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "52e4d9cf-2ecd-4d96-9ab0-a71c507a32e0",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import openpyxl\n",
|
|
"import json\n",
|
|
"\n",
|
|
"\n",
|
|
"filename = 'data/长炼医院人员名单.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"list1 = []\n",
|
|
"for k, v in dict1.items():\n",
|
|
" list2 = []\n",
|
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" list2 = [k,v['name'],v['sex'],v['birth'],v['unit']]\n",
|
|
" list1.append(list2)\n",
|
|
"filename = f'data/长炼医院体测情况表(20230829).xlsx'\n",
|
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"wb = openpyxl.Workbook()\n",
|
|
"sheet = wb.active\n",
|
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"\n",
|
|
"for row in list1:\n",
|
|
" sheet.append(row)\n",
|
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"wb.save(filename)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "f58f1da0-a558-4c92-ac09-341bc8a6055d",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 计算测试得分"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "3b10ab5b-a9e6-4b3b-b2ec-97a2de4af6cd",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import time\n",
|
|
"\n",
|
|
"filename = '../item.json'\n",
|
|
"item = {}\n",
|
|
"unit = {}\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict3 = json.load(fl) \n",
|
|
"for k,v in dict3.items():\n",
|
|
" item[k] = v\n",
|
|
"item['1']['en'] = 'lung'\n",
|
|
"item['2']['en'] = 'grip'\n",
|
|
"item['3']['en'] = 'flexion'\n",
|
|
"item['4']['en'] = 'jump'\n",
|
|
"item['5']['en'] = 'pushup'\n",
|
|
"item['6']['en'] = 'balance'\n",
|
|
"item['7']['en'] = 'reaction'\n",
|
|
"item['8']['en'] = 'step'\n",
|
|
"item['9']['en'] = 'situp'\n",
|
|
"item['10']['en'] = 'height'\n",
|
|
"item['11']['en'] = 'weight'\n",
|
|
"\n",
|
|
"filename = 'data/体质检测标准 (1).json' \n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"\n",
|
|
"\n",
|
|
"\n",
|
|
"def cal_score(data1):\n",
|
|
" #data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46} \n",
|
|
" person = dict1['person']\n",
|
|
" criteria = dict1['criteria'] \n",
|
|
" info = data1['sex']+str(data1['age'])\n",
|
|
" bz = person[info]\n",
|
|
" mx = criteria[bz][data1['item']]\n",
|
|
" result = data1['result'] \n",
|
|
" if data1['item'] == 'reaction':\n",
|
|
" for bz1 in mx:\n",
|
|
" if result > bz1:\n",
|
|
" #print(bz1)\n",
|
|
" score = mx.index(bz1,0)\n",
|
|
" break\n",
|
|
" else:\n",
|
|
" score = 5\n",
|
|
" else:\n",
|
|
" for bz1 in mx:\n",
|
|
" if result < bz1:\n",
|
|
" #print(bz1)\n",
|
|
" score = mx.index(bz1,0)\n",
|
|
" break\n",
|
|
" else:\n",
|
|
" score = 5\n",
|
|
" return(score)\n",
|
|
"filename = 'data/体质检测标准_BMI.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict4 = json.load(fl) \n",
|
|
" \n",
|
|
"def cal_bmi(data1):\n",
|
|
" # data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}\n",
|
|
" person = dict4['person']\n",
|
|
" criteria = dict4['criteria']\n",
|
|
" \n",
|
|
" info = data1['sex']+str(data1['age'])\n",
|
|
" bz = person[info]\n",
|
|
" #print(bz)\n",
|
|
" result = data1['result']\n",
|
|
" print(result)\n",
|
|
" height = int(float(result.split(',')[0]))\n",
|
|
" weight = float(result.split(',')[1])\n",
|
|
" mx = criteria[bz][str(height)]\n",
|
|
" if weight < mx[0]:\n",
|
|
" score = 1\n",
|
|
" elif weight < mx[1]:\n",
|
|
" score = 3\n",
|
|
" elif weight < mx[2]:\n",
|
|
" score = 5 \n",
|
|
" elif weight <= mx[3]:\n",
|
|
" score = 3 \n",
|
|
" elif weight > mx[3]:\n",
|
|
" score = 1\n",
|
|
" return score\n",
|
|
" \n",
|
|
" \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_长炼医院.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict2 = json.load(fl) \n",
|
|
"for k, v in dict2.items():\n",
|
|
" if v['sex'] == '男':\n",
|
|
" sex = 'M'\n",
|
|
" else:\n",
|
|
" sex = 'F' \n",
|
|
" if 'height' in v.keys() and 'weight' in v.keys():\n",
|
|
" bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n",
|
|
" data1 = {'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'] = cal_bmi(data1)\n",
|
|
" for item_en in list_item:\n",
|
|
" if item_en in v.keys(): \n",
|
|
" data1 = {'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n",
|
|
" dict2[k][item_en]['score'] = cal_score(data1)\n",
|
|
" #print(k,v[item_en]['成绩'],cal_score(data1))\n",
|
|
"\n",
|
|
"filename = f'data/result_长炼医院.json'\n",
|
|
"with open(filename,'w') as fl:\n",
|
|
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
|
"print('ok!') "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "647c016d-640e-44ab-888d-09b80d5bb8b9",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 生成报告"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "bea5228f-0d65-4969-b00f-ea102ed12122",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import requests\n",
|
|
"import json\n",
|
|
"\n",
|
|
"headers = {\n",
|
|
" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
|
|
" }\n",
|
|
"filename = 'data/result_长炼医院.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"list1 = []\n",
|
|
"fiie_path ='./469849/'\n",
|
|
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
|
|
"for k, v in dict1.items():\n",
|
|
" list1 = []\n",
|
|
" mydata = {}\n",
|
|
" \n",
|
|
" id = str(k).rjust(5,\"0\")\n",
|
|
" mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n",
|
|
" mydata['title'] = '中石化长岭分公司'\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",
|
|
" for item in list_item:\n",
|
|
" if item in v.keys():\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:\n",
|
|
" \n",
|
|
" list1.append(mydata) \n",
|
|
" x = requests.post('http://192.168.31.163:3003', data = json.dumps(list1), headers=headers)\n",
|
|
" print(id,v['name'],x.text)\n",
|
|
" x.close()\n",
|
|
" #print(mydata)\n",
|
|
" "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "effa061b-51f9-4074-b747-d7873217973a",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 生成报告数据"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "d403f2f4-ae6b-422f-9679-e7636bfec03e",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import requests\n",
|
|
"import json\n",
|
|
"\n",
|
|
"headers = {\n",
|
|
" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
|
|
" }\n",
|
|
"filename = 'data/result_长炼医院.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
"list1 = []\n",
|
|
"\n",
|
|
"fiie_path ='./469849/'\n",
|
|
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
|
|
"for k, v in dict1.items(): \n",
|
|
" mydata = {}\n",
|
|
" id = str(k).rjust(5,\"0\")\n",
|
|
" mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n",
|
|
" mydata['title'] = '中石化长岭分公司'\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",
|
|
" for item in list_item:\n",
|
|
" if item in v.keys():\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: \n",
|
|
" list1.append(mydata) \n",
|
|
" #x = requests.post('http://192.168.31.163:3003', data = json.dumps(list1), headers=headers)\n",
|
|
" #print(id,v['name'],x.text)\n",
|
|
" #x.close()\n",
|
|
" #print(mydata)\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/长炼医院data.json\", \"w\",encoding = 'utf-8') as file:\n",
|
|
" file.write(json_data) "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "1f74d57b-ef60-4a1e-8cb5-2dc4c96bdcca",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 核对成绩"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "c1c3330d-cce6-4603-99ea-8401cfa11e05",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"import csv\n",
|
|
"\n",
|
|
"filename = '../item.json'\n",
|
|
"item = {}\n",
|
|
"unit = {}\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict3 = json.load(fl) \n",
|
|
"for k,v in dict3.items():\n",
|
|
" item[k] = v\n",
|
|
"item['1']['en'] = 'lung'\n",
|
|
"item['2']['en'] = 'grip'\n",
|
|
"item['3']['en'] = 'flexion'\n",
|
|
"item['4']['en'] = 'jump'\n",
|
|
"item['5']['en'] = 'pushup'\n",
|
|
"item['6']['en'] = 'balance'\n",
|
|
"item['7']['en'] = 'reaction'\n",
|
|
"item['8']['en'] = 'step'\n",
|
|
"item['9']['en'] = 'situp'\n",
|
|
"item['10']['en'] = 'height'\n",
|
|
"item['11']['en'] = 'weight'\n",
|
|
"\n",
|
|
"re_ta = {}\n",
|
|
"list1 = []\n",
|
|
"item_list = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
|
|
"filename = 'data/places_result_20230830.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",
|
|
" \n",
|
|
" m_item = str(result[3]) \n",
|
|
" re_ta.setdefault(user,{}) \n",
|
|
" item_name = item[m_item]['en']\n",
|
|
" re_ta[user].setdefault(item_name,{}) \n",
|
|
" score = int(result[4])/item[m_item]['divisor'] \n",
|
|
" re_ta[user][item_name]['成绩'] = result[5]\n",
|
|
"\n",
|
|
"filename = 'data/长炼医院data.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" list1 = json.load(fl)\n",
|
|
"for data in list1:\n",
|
|
" code = str(int(data['id']))\n",
|
|
" for k, v in data['fits'].items():\n",
|
|
" if code in re_ta.keys():\n",
|
|
" if k in item_list:\n",
|
|
" print(code,k,v['score'],re_ta[code][k]['成绩'])\n",
|
|
" if k == 'bmi':\n",
|
|
" print(code,k,v['score'],re_ta[code]['weight']['成绩'])\n",
|
|
" \n",
|
|
" "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "83fa2c1f-5269-4dec-a6b5-43f809db808c",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 获取报告信息"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "f4aaab88-4a92-434c-98e5-2ef2f4c23707",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import os,sys,shutil\n",
|
|
"import json\n",
|
|
"import glob\n",
|
|
"from pathlib import Path\n",
|
|
"\n",
|
|
"\n",
|
|
"fi_path = 'file/469849'\n",
|
|
"old = []\n",
|
|
"dict2 = {}\n",
|
|
"list1 = []\n",
|
|
"\n",
|
|
"filename = 'data/长炼医院人员名单.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
" \n",
|
|
"fl = glob.glob(f'{fi_path}/*.pdf')\n",
|
|
"for fn in fl:\n",
|
|
" fi_name =Path(fn).stem.split('-')[0]\n",
|
|
" code = int(fi_name)\n",
|
|
" \n",
|
|
" print(fi_name,dict1[str(code)]['name'],dict1[str(code)]['code'])\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "da49e006-b6ce-4834-8085-98fd80dd83b0",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 报告信息导入数据库"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "48b25b03-7203-4575-8a1e-2cf546f012a9",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import os,sys,shutil\n",
|
|
"import json\n",
|
|
"import glob\n",
|
|
"from pathlib import Path\n",
|
|
"import pymongo\n",
|
|
"\n",
|
|
"\n",
|
|
"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
|
|
"mydb = myclient[\"baogao\"]\n",
|
|
"\n",
|
|
"place_id = 469849\n",
|
|
"fi_path = 'file/469849'\n",
|
|
"filename = 'data/长炼医院人员名单.json'\n",
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl)\n",
|
|
" \n",
|
|
"fl = glob.glob(f'{fi_path}/*.pdf')\n",
|
|
"list1 = []\n",
|
|
"for fn in fl:\n",
|
|
" dict2 = {}\n",
|
|
" fi_name =Path(fn).stem.split('-')[0]\n",
|
|
" code = int(fi_name)\n",
|
|
" ygbh = dict1[str(code)]['code']\n",
|
|
" dict2 = {'place_id':place_id,'code':ygbh,'fn':Path(fn).name}\n",
|
|
" list1.append(dict2)\n",
|
|
"mycol = mydb[\"pdf\"]\n",
|
|
"x = mycol.insert_many(list1)\n",
|
|
"print('ok') "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "b412ca21-e494-42ba-ac08-0e61cd755d3e",
|
|
"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",
|
|
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