From f819a5599f1c97c42d8775d8a280b2c7be6b75a6 Mon Sep 17 00:00:00 2001 From: 512song Date: Fri, 15 Sep 2023 01:31:36 +0000 Subject: [PATCH] 20230915 --- .../.ipynb_checkpoints/长炼医院-checkpoint.ipynb | 1068 +++++++++++++++++ 1 file changed, 1068 insertions(+) create mode 100644 体测单位/.ipynb_checkpoints/长炼医院-checkpoint.ipynb diff --git a/体测单位/.ipynb_checkpoints/长炼医院-checkpoint.ipynb b/体测单位/.ipynb_checkpoints/长炼医院-checkpoint.ipynb new file mode 100644 index 0000000..8d2d222 --- /dev/null +++ b/体测单位/.ipynb_checkpoints/长炼医院-checkpoint.ipynb @@ -0,0 +1,1068 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "55644860-57e6-466b-b6e9-e6fdd807498d", + "metadata": {}, + "source": [ + "# 员工体测" + ] + }, + { + "cell_type": "markdown", + "id": "d4d999fe-4890-4a14-b1e8-52dbd6d42e73", + "metadata": {}, + "source": [ + "## 导入人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3154fc8c-0e91-4cda-ba75-666dc7bbb34d", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "\n", + "wb = openpyxl.load_workbook('data/student_20140922长炼医院监测花名册.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "person = {}\n", + "\n", + "for n in range(2, sheet.max_row+1):\n", + " if sheet.cell(n,1).value is not None:\n", + " code = int(sheet.cell(n, 4).value)\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 6).value\n", + " if int(sheet.cell(n, 7).value) ==1:\n", + " sex = '男'\n", + " else:\n", + " sex = '女'\n", + " dict1['sex'] = sex\n", + " birth = str(sheet.cell(n, 8).value).split()[0]\n", + " dict1['birth'] = birth\n", + " dict1['unit'] = sheet.cell(n, 3).value\n", + " person[code] = dict1\n", + "filename = 'data/长炼医院人员名单.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "31d36f3c-f046-40a9-bf90-ba139fdcce3a", + "metadata": {}, + "source": [ + "## 新增人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5cea2f5e-37fc-4857-8455-090a634a1c0a", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "\n", + "wb = openpyxl.load_workbook('data/长炼医院新增监测花名册（水务部）.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "filename = 'data/长炼医院人员名单.json'\n", + "with open(filename,'r') as fl:\n", + " person = json.load(fl) \n", + "print(len(person))\n", + "for n in range(2, sheet.max_row+1):\n", + " if sheet.cell(n,1).value is not None:\n", + " code = int(sheet.cell(n, 4).value)\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 6).value\n", + " if int(sheet.cell(n, 7).value) ==1:\n", + " sex = '男'\n", + " else:\n", + " sex = '女'\n", + " dict1['sex'] = sex\n", + " birth = str(sheet.cell(n, 8).value).split()[0]\n", + " dict1['birth'] = birth\n", + " dict1['unit'] = sheet.cell(n, 3).value\n", + " person[code] = dict1\n", + "filename = 'data/长炼医院人员名单.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')\n", + "print(len(person))" + ] + }, + { + "cell_type": "markdown", + "id": "56e4caa4-cf9d-4fdc-99c4-86f5e92afdfa", + "metadata": {}, + "source": [ + "## 补充员工编号" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0bdfe5e6-40e1-432d-85b4-ddb9e8d3dd90", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "\n", + "wb = openpyxl.load_workbook('data/长炼医院体测人员编号情况表.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "filename = 'data/长炼医院人员名单.json'\n", + "with open(filename,'r') as fl:\n", + " person = json.load(fl) \n", + "print(len(person))\n", + "for n in range(2, sheet.max_row+1):\n", + " if sheet.cell(n,1).value is not None:\n", + " code = str(sheet.cell(n, 1).value)\n", + " ygbh = str(sheet.cell(n, 6).value)\n", + " if code in person.keys():\n", + " person[code]['code'] = ygbh\n", + " #print(code,person[code]['name'],ygbh)\n", + "filename = 'data/长炼医院人员名单.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "1597f17a-1d9c-4d2c-9273-3afa8147c72e", + "metadata": {}, + "source": [ + "## 单独新增人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d6fde6c4-d696-4eb9-a73e-a7cc7018b62c", + "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", + " person = json.load(fl) \n", + "code = '3297'\n", + "name = '何治国'\n", + "sex = '男'\n", + "birth = '1982/02/15'\n", + "unit = '长炼医院外二科'\n", + "person[code] = {'name':name,'sex':sex,'birth':birth,'unit':unit}\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')\n", + "print(len(person))" + ] + }, + { + "cell_type": "markdown", + "id": "96d5b4bd-4198-4725-9005-070ac4e4f324", + "metadata": {}, + "source": [ + "## 每日成绩导入" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4b52477e-926a-44b5-b8a0-20bff98d101d", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import time\n", + "import csv\n", + "\n", + "filename = '../item.json'\n", + "item = {}\n", + "unit = {}\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "for k,v in dict1.items():\n", + " item[k] = v\n", + "re_ta = {}\n", + "dict1 = {}\n", + "list1 = []\n", + "filename = 'data/长炼医院人员名单.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "rq = '20230830'\n", + "filename = f'data/places_result_{rq}.csv'\n", + "with open(filename,'r',newline='') as csv_file:\n", + " fl = csv.reader(csv_file,delimiter=',')\n", + " header = next(fl) \n", + " for line in fl:\n", + " #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n", + " list1.append(line)\n", + "#print(list1)\n", + "for result in list1:\n", + " user = str(result[2])\n", + " if user in dict1.keys(): \n", + " m_item = str(result[3]) \n", + " re_ta.setdefault(user,{}) \n", + " re_ta[user]['name'] = dict1[user]['name']\n", + " re_ta[user]['sex'] = dict1[user]['sex'] \n", + " re_ta[user]['unit'] = dict1[user]['unit']\n", + " item_name = item[m_item]['name']\n", + " re_ta[user].setdefault(item_name,{}) \n", + " score = int(result[4])/item[m_item]['divisor'] \n", + " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", + "print(len(re_ta))\n", + "\n", + "filename = 'data/result_长炼医院.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(re_ta, fl, ensure_ascii=False) \n", + "print(len(re_ta))\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "033cc564-4aa9-4e88-b38b-ec62a02b1661", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import datetime\n", + "import csv\n", + "from datetime import date\n", + "\n", + "filename = '../item.json'\n", + "item = {}\n", + "unit = {}\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "for k,v in dict1.items():\n", + " item[k] = v\n", + "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", + "\n", + "re_ta = {}\n", + "dict1 = {}\n", + "list1 = []\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", + "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", + "#f_item = ['lung','grip','flexion','jump','balance','reaction','step','situp']\n", + "#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']\n", + "for result in list1:\n", + " user = str(result[2])\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 dict1[user]['sex'] == '男':\n", + " l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']\n", + " else:\n", + " l_xm = ['weight','height','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", + " #nian = int(birth[0].strip())\n", + " #yue = int(birth[1].strip())\n", + " #ri = int(birth[2].strip())\n", + " #print(k,nian,yue,ri)\n", + " item_name = item[m_item]['en'] \n", + " if item_name in l_xm: \n", + " days = (datetime.date(2023, 8, 29)-birth).days \n", + " re_ta[user]['age'] = int(days/365)\n", + " re_ta[user]['month'] = int(days/365*12)\n", + "\n", + "\n", + " re_ta[user].setdefault(item_name,{}) \n", + " score = int(result[4])/item[m_item]['divisor'] \n", + " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", + "print(len(re_ta))\n", + "filename = 'data/result_长炼医院.json'\n", + "\n", + "with open(filename,'w') as fl:\n", + " json.dump(re_ta, fl, ensure_ascii=False) \n", + "print(len(re_ta))" + ] + }, + { + "cell_type": "markdown", + "id": "f220ffba-d172-4b6f-8238-c3a2d6c87ed4", + "metadata": {}, + "source": [ + "## 每日成绩导出" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2ffa583b-be51-40a8-bb55-de6a89d1a54a", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "#rq = '20230510'\n", + "items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n", + "title = ['编号','姓名','性别','单位','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", + "filename = f'data/result_长炼医院（{rq}).json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = 'data/长炼医院人员名单.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl)\n", + " \n", + "list1 = []\n", + "for k, v in dict1.items():\n", + " list2 = []\n", + " list2.append(str(k).rjust(5,'0'))\n", + " list2.append(v['name']) \n", + " list2.append(dict2[k]['sex'])\n", + " list2.append(dict2[k]['unit']) \n", + " for item in items:\n", + " if item in v.keys():\n", + " list2.append(v[item]['成绩']) \n", + " elif item =='name':\n", + " list2.append(v[item])\n", + " else:\n", + " list2.append('') \n", + " list1.append(list2)\n", + "filename = f'data/长炼医院体测情况表({rq}).xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "sheet.append(title)\n", + "for row in list1:\n", + " sheet.append(row)\n", + "wb.save(filename)" + ] + }, + { + "cell_type": "markdown", + "id": "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", + " 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", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "\n", + "for row in list1:\n", + " sheet.append(row)\n", + "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": "markdown", + "id": "b07923fd-94da-4b86-8902-523d3ebc3d1b", + "metadata": { + "tags": [] + }, + "source": [ + "# 学生体测" + ] + }, + { + "cell_type": "markdown", + "id": "6ba73ead-6715-46a6-b4a9-3a00b733b151", + "metadata": {}, + "source": [ + "## 导入学生信息" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "c828b665-d178-42e4-a885-505045169102", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "\n", + "wb = openpyxl.load_workbook('data/小学生监测花名册.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "person = {}\n", + "\n", + "for n in range(2, sheet.max_row+1):\n", + " if sheet.cell(n,1).value is not None:\n", + " code = int(sheet.cell(n, 4).value)\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 6).value\n", + " if int(sheet.cell(n, 7).value) ==1:\n", + " sex = '男'\n", + " else:\n", + " sex = '女'\n", + " dict1['sex'] = sex\n", + " birth = str(sheet.cell(n, 8).value).split()[0]\n", + " dict1['birth'] = birth\n", + " dict1['unit'] = sheet.cell(n, 3).value\n", + " person[code] = dict1\n", + "filename = 'data/长岭学生名单.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "9d64629c-f5ee-4c2b-a9a8-964259d06d36", + "metadata": {}, + "source": [ + "## 每日成绩导入" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "3f1b2284-c39e-4dc2-bc0c-983fb8e3417f", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "508\n", + "508\n" + ] + } + ], + "source": [ + "import json\n", + "import time\n", + "import csv\n", + "\n", + "filename = '../item.json'\n", + "item = {}\n", + "unit = {}\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "for k,v in dict1.items():\n", + " item[k] = v\n", + "re_ta = {}\n", + "dict1 = {}\n", + "list1 = []\n", + "filename = 'data/长岭学生名单.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "rq = '20230914'\n", + "filename = f'data/places_result_{rq}.csv'\n", + "with open(filename,'r',newline='') as csv_file:\n", + " fl = csv.reader(csv_file,delimiter=',')\n", + " header = next(fl) \n", + " for line in fl:\n", + " #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n", + " list1.append(line)\n", + "#print(list1)\n", + "for result in list1:\n", + " user = str(result[2])\n", + " if user in dict1.keys(): \n", + " m_item = str(result[3]) \n", + " re_ta.setdefault(user,{}) \n", + " re_ta[user]['name'] = dict1[user]['name']\n", + " re_ta[user]['sex'] = dict1[user]['sex'] \n", + " re_ta[user]['unit'] = dict1[user]['unit']\n", + " item_name = item[m_item]['name']\n", + " re_ta[user].setdefault(item_name,{}) \n", + " score = int(result[4])/item[m_item]['divisor'] \n", + " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", + "print(len(re_ta))\n", + "\n", + "filename = 'data/result_长岭学生.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(re_ta, fl, ensure_ascii=False) \n", + "print(len(re_ta))\n" + ] + }, + { + "cell_type": "markdown", + "id": "33c3ecc6-4dee-4eb9-954e-00f3fbbc179d", + "metadata": {}, + "source": [ + "## 每日成绩导入" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "9d5d379c-5b53-4716-b4ab-fa794c912853", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "#rq = '20230510'\n", + "items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n", + "title = ['编号','姓名','性别','单位','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", + "filename = f'data/result_长岭学生.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = 'data/长岭学生名单.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl)\n", + " \n", + "list1 = []\n", + "for k, v in dict1.items():\n", + " list2 = []\n", + " list2.append(str(k).rjust(5,'0'))\n", + " list2.append(v['name']) \n", + " list2.append(dict2[k]['sex'])\n", + " list2.append(dict2[k]['unit']) \n", + " for item in items:\n", + " if item in v.keys():\n", + " list2.append(v[item]['成绩']) \n", + " elif item =='name':\n", + " list2.append(v[item])\n", + " else:\n", + " list2.append('') \n", + " list1.append(list2)\n", + "filename = f'data/长岭学生体测情况表.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "sheet.append(title)\n", + "for row in list1:\n", + " sheet.append(row)\n", + "wb.save(filename)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1b35c133-928f-40d9-8523-8a16677a55d8", + "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 +}