504 lines
16 KiB
Plaintext
504 lines
16 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "cba4b789-a7f2-496f-ad57-a5656fe31bd1",
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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": "feb31e69-387f-4856-a881-3044080e6d9a",
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"metadata": {},
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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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"import datetime\n",
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"\n",
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"wb = openpyxl.load_workbook('data/悟空仪器人员信息表.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, 1).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, 2).value \n",
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" dict1['sex'] = sheet.cell(n, 3).value\n",
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" dict1['unit'] = sheet.cell(n, 5).value\n",
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" dict1['birth'] = str(sheet.cell(n, 4).value).split()[0]\n",
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" birth = dict1['birth'].split()[0].split('-')\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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" days = (datetime.date(2023, 8, 22)-datetime.date(nian,yue,ri)).days\n",
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" dict1['month'] = int(days/365*12)\n",
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" dict1['age'] = int(days/365)\n",
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" person[code] = dict1\n",
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"filename = 'data/悟空仪器.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False,default=str)\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": "6b3f33d7-d4fa-438c-8620-e232ba37bdeb",
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"metadata": {},
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"source": [
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"## 导入测试信息"
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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": "a1e5f045-2c26-414c-9ce0-eb73678ef0ce",
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"metadata": {},
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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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"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/悟空仪器.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_20230829.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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" re_ta[user]['age'] = dict1[user]['age']\n",
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" re_ta[user]['month'] = dict1[user]['month']\n",
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" item_name = item[m_item]['en']\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_悟空仪器.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": "bdee5e18-c4b0-4943-bed0-b9137b970661",
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"metadata": {},
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"source": [
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"## 计算测试得分"
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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": "fd29332f-371e-410d-a709-58b9046cded1",
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"metadata": {},
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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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"\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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" dict3 = json.load(fl) \n",
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"for k,v in dict3.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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"filename = 'data/体质检测标准 (1).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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"\n",
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"\n",
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"def cal_score(data1):\n",
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" #data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46} \n",
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" person = dict1['person']\n",
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" criteria = dict1['criteria'] \n",
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" info = data1['sex']+str(data1['age'])\n",
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" bz = person[info]\n",
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" mx = criteria[bz][data1['item']]\n",
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" result = data1['result'] \n",
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" if data1['item'] == 'reaction':\n",
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" for bz1 in mx:\n",
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" if result > bz1:\n",
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" #print(bz1)\n",
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" score = mx.index(bz1,0)\n",
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" break\n",
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" else:\n",
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" score = 5\n",
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" else:\n",
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" for bz1 in mx:\n",
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" if result < bz1:\n",
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" #print(bz1)\n",
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" score = mx.index(bz1,0)\n",
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" break\n",
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" else:\n",
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" score = 5\n",
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" return(score)\n",
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"filename = 'data/体质检测标准_BMI.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict4 = json.load(fl) \n",
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" \n",
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"def cal_bmi(data1):\n",
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" # data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}\n",
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" person = dict4['person']\n",
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" criteria = dict4['criteria']\n",
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" \n",
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" info = data1['sex']+str(data1['age'])\n",
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" bz = person[info]\n",
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" #print(bz)\n",
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" result = data1['result']\n",
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" print(result)\n",
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" height = int(float(result.split(',')[0]))\n",
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" weight = float(result.split(',')[1])\n",
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" mx = criteria[bz][str(height)]\n",
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" if weight < mx[0]:\n",
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" score = 1\n",
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" elif weight < mx[1]:\n",
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" score = 3\n",
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" elif weight < mx[2]:\n",
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" score = 5 \n",
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" elif weight <= mx[3]:\n",
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" score = 3 \n",
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" elif weight > mx[3]:\n",
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" score = 1\n",
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" return score\n",
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" \n",
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" \n",
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"\n",
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"#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
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"filename = 'data/result_悟空仪器.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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"for k, v in dict2.items():\n",
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" if v['sex'] == '男':\n",
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" sex = 'M'\n",
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" else:\n",
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" sex = 'F' \n",
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" if 'height' in v.keys() and 'weight' in v.keys():\n",
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" bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n",
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" data1 = {'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n",
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" dict2[k]['bmi'] = {}\n",
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" dict2[k]['bmi']['成绩'] = bmi_data\n",
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" dict2[k]['bmi']['score'] = cal_bmi(data1)\n",
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" for item_en in list_item:\n",
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" if item_en in v.keys(): \n",
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" data1 = {'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n",
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" dict2[k][item_en]['score'] = cal_score(data1)\n",
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" #print(k,v[item_en]['成绩'],cal_score(data1))\n",
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"\n",
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"filename = 'data/result_悟空仪器1.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict2,fl , ensure_ascii=False) \n",
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"print('ok!') \n",
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" \n",
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" "
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]
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},
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{
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"cell_type": "markdown",
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"id": "507d5fec-a28b-498e-a7b3-10f1ed653e60",
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"metadata": {},
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"source": [
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"## 生成报告"
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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": "8af556eb-3397-4ec7-8c88-52c8420a73c6",
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"metadata": {},
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"outputs": [],
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"source": [
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"import requests\n",
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"import json\n",
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"\n",
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"headers = {\n",
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" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
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" }\n",
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"filename = 'data/result_悟空仪器1.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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"list1 = []\n",
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"fiie_path ='./2201/'\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
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"for k, v in dict1.items():\n",
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" mydata = {}\n",
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" \n",
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" id = str(k).rjust(5,\"0\")\n",
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" mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n",
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" mydata['title'] = '悟空仪器'\n",
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" mydata['id'] = id\n",
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" mydata['name'] = v['name']\n",
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" if v['sex'] == '男':\n",
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" mydata['gender'] = 'male'\n",
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" else:\n",
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" mydata['gender'] = 'female'\n",
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" \n",
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" mydata['month'] = v['month']\n",
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" mydata['fit'] = {}\n",
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" for item in list_item:\n",
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" if item in v.keys():\n",
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" mydata['fit'][item] = {'mark':v[item]['成绩'].split()[0],'score':v[item]['score']}\n",
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" list1.append(mydata) \n",
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" #x = requests.post('http://192.168.31.163:3003', data = json.dumps(mydata), headers=headers)\n",
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" #print(id,v['name'],x.text)\n",
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" #x.close()\n",
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" #if k =='218':\n",
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" # print(mydata)\n",
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"json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n",
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"\n",
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"# 将 json 数据写入文件\n",
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"with open(\"data/悟空data1.json\", \"w\",encoding = 'utf-8') as file:\n",
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" file.write(json_data) \n",
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" "
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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": "e089a71e-dbcf-4327-a192-c7be5410662b",
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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 requests\n",
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"import json\n",
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"\n",
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"headers = {\n",
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" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
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" }\n",
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"filename = 'data/result_悟空仪器1.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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"list1 = []\n",
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"fiie_path ='./2201_1/'\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
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"for k, v in dict1.items():\n",
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" list1 = []\n",
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" mydata = {}\n",
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" \n",
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" id = str(k).rjust(5,\"0\")\n",
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" mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n",
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" mydata['title'] = '悟空仪器'\n",
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" mydata['id'] = id\n",
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" mydata['name'] = v['name']\n",
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" if v['sex'] == '男':\n",
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" mydata['gender'] = 'male'\n",
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" else:\n",
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" mydata['gender'] = 'female'\n",
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" \n",
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" mydata['month'] = v['month']\n",
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" mydata['fits'] = {}\n",
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" for item in list_item:\n",
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" if item in v.keys():\n",
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" if item in ['lung','pushup','step','situp']:\n",
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" mark = v[item]['成绩'].split()[0].split('.')[0]\n",
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" else:\n",
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" mark = v[item]['成绩'].split()[0]\n",
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" mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
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" list1.append(mydata) \n",
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" x = requests.post('http://192.168.31.163:3003', data = json.dumps(list1), headers=headers)\n",
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" print(id,v['name'],x.text)\n",
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" x.close()\n",
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" #print(mydata)\n",
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" "
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]
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},
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{
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"cell_type": "markdown",
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"id": "a7c6234f-64da-4db9-b626-309ec5e605bb",
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"metadata": {},
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"source": [
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"## 计算项目平均分"
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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": "2fc0a9b0-6acf-460f-a827-ea9119ee4edc",
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"\n",
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"filename = 'data/悟空data1.json'\n",
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"with open(filename,'r') as fl:\n",
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" list1 = json.load(fl)\n",
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"dict2 = {}\n",
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"#print(list1)\n",
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"for item in list1:\n",
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" for k, v in item['fit'].items():\n",
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" dict2.setdefault(k,{'count':0,'score':0})\n",
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" dict2[k]['count'] = dict2[k]['count']+1\n",
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" dict2[k]['score'] = dict2[k]['score'] + v['score']\n",
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"for k, v in dict2.items():\n",
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" print(k,v['count'],v['score'],)\n",
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" \n",
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" "
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]
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},
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{
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"cell_type": "markdown",
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"id": "677371c7-f5aa-457f-9baa-3fa4bda2dcf8",
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"metadata": {},
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"source": [
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"## 核对成绩"
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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": "51d613bb-c2d1-4e43-a156-f7ebad9948b8",
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\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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" dict3 = json.load(fl) \n",
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"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_20230826.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/悟空data1.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['fit'].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": "code",
|
|
"execution_count": null,
|
|
"id": "951a7663-e152-4b82-9685-74912b9258d8",
|
|
"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
|
|
}
|