{ "cells": [ { "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": "code", "execution_count": null, "id": "b412ca21-e494-42ba-ac08-0e61cd755d3e", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.12" } }, "nbformat": 4, "nbformat_minor": 5 }