From b1332cc60f667b63e7c44809efe1ec17de8349da Mon Sep 17 00:00:00 2001 From: 512song <512song@sina.com> Date: Fri, 15 Sep 2023 09:53:32 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=A0=E9=99=A4=20=E4=BD=93=E6=B5=8B?= =?UTF-8?q?=E5=8D=95=E4=BD=8D/.ipynb=5Fcheckpoints/=E9=95=BF=E7=82=BC?= =?UTF-8?q?=E5=8C=BB=E9=99=A2-checkpoint.ipynb?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../.ipynb_checkpoints/长炼医院-checkpoint.ipynb | 1068 ----------------- 1 file changed, 1068 deletions(-) delete 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 deleted file mode 100644 index 8d2d222..0000000 --- a/体测单位/.ipynb_checkpoints/长炼医院-checkpoint.ipynb +++ /dev/null @@ -1,1068 +0,0 @@ -{ - "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 -}