{ "cells": [ { "cell_type": "markdown", "id": "0deffb8b-6ff0-4a87-b733-08dde1494994", "metadata": {}, "source": [ "## 杨庙人员信息导入" ] }, { "cell_type": "code", "execution_count": null, "id": "c4bd7851-d612-4387-a8b2-5173eac8f866", "metadata": {}, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "\n", "wb = openpyxl.load_workbook('data/杨庙社区居民信息表20230801（系统导入版）.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, 1).value)\n", " person.setdefault(code, {})\n", " dict1 = {}\n", " dict1['name'] = sheet.cell(n, 2).value\n", " dict1['sex'] = sheet.cell(n, 3).value\n", " birth = str(sheet.cell(n, 4).value).split()[0]\n", " dict1['birth'] = birth \n", " person[code] = dict1\n", "\n", "filename = 'data/杨庙社区人员信息2307.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "fc2c5182-e10c-45eb-841d-d6083ddfde53", "metadata": {}, "source": [ "## 检测问卷编号重复" ] }, { "cell_type": "code", "execution_count": null, "id": "b8eff79b-3c8c-45e3-8127-6e863008ad4a", "metadata": {}, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "filename = 'data/杨庙社区人员信息2307.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", "wb = openpyxl.load_workbook('data/杨庙问卷统计表（老年组）.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "dict1 = {}\n", "dict3 = {}\n", "sheet = wb.active\n", "data1 =list(sheet.values)\n", "list_bh = data1[0][1:]\n", "list1 = []\n", "for item in list_bh:\n", " if item not in list1:\n", " list1.append(item)\n", " else:\n", " print(item)\n", " " ] }, { "cell_type": "markdown", "id": "26d77f4b-6ba1-45b3-8955-9ae481b9ae9c", "metadata": {}, "source": [ "## 导入手工体测数据" ] }, { "cell_type": "code", "execution_count": null, "id": "ccfac27a-b255-4263-9ce0-c606d82f6473", "metadata": {}, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "filename = 'data/杨庙社区人员信息2307.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", "wb = openpyxl.load_workbook('data/杨庙手工数据（数据库）.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "dict1 = {}\n", "dict3 = {1:10,2:11,3:7,4:2,5:6,6:3,7:1}\n", "sheet = wb.active\n", "data1 =list(sheet.values)\n", "del data1[0]\n", "list1 = []\n", "for item in data1:\n", " code = item[0]\n", " if str(code) in dict2.keys():\n", " for i in range(1,8):\n", " if item[i] is not None:\n", " list1.append((141,code,dict3[i],item[i],'2023-08-03','2023-08-03 12:00:00'))\n", "print(list1)\n", " " ] }, { "cell_type": "markdown", "id": "e4bbd0db-090b-4252-ae27-d9e589f97992", "metadata": {}, "source": [ "## 导出体测信息" ] }, { "cell_type": "code", "execution_count": null, "id": "e77ef529-0522-4f8d-a4d3-9f62a69f6cc6", "metadata": {}, "outputs": [], "source": [ "import json\n", "import datetime\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", "item['1']['en'] = 'lung'\n", "item['2']['en'] = 'grip'\n", "item['3']['en'] = 'flexion'\n", "item['6']['en'] = 'balance'\n", "item['7']['en'] = 'reaction'\n", "item['10']['en'] = 'height'\n", "item['11']['en'] = 'weight'\n", "#print(item)\n", "re_ta = {}\n", "dict1 = {}\n", "list1 = []\n", "filename = 'data/杨庙社区人员信息2307.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/places_result_20230803.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]['birth'] = dict1[user]['birth']\n", " item_name = item[str(m_item)]['en']\n", " re_ta[user].setdefault(item_name,{}) \n", " performance = int(result[4])/item[m_item]['divisor']\n", " score = result[5]\n", " re_ta[user][item_name]['成绩'] = performance\n", " re_ta[user][item_name]['得分'] = score\n", "list2 = ['grip','lung','balance','reaction','flexion']\n", "list3 = []\n", "for k, v in re_ta.items():\n", " dict2 = {}\n", " dict2['id'] = int(k)\n", " dict2['title'] = '杨庙社区'\n", " dict2['subtitle'] = ''\n", " dict2['name'] = v['name']\n", " if v['sex'] == '男':\n", " dict2['gender'] = 'male'\n", " else:\n", " dict2['gender'] = 'female'\n", " birth = v['birth'].split()[0].split('-') \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", " days = (datetime.date(2023, 7, 31)-datetime.date(nian,yue,ri)).days\n", " dict2['month'] = int(days/30)\n", " dict3 = {} \n", " for xm in list2:\n", " if xm in v.keys():\n", " dict3[xm] = {'mark':str(v[xm]['成绩']),'score':int(v[xm]['得分'])}\n", " if 'height' in v.keys():\n", " dict3['bmi'] = {'mark':str(v['height']['成绩'])+','+str(v['weight']['成绩']),'score':int(v['weight']['得分'])}\n", " dict2['fit'] = dict3\n", " list3.append(dict2)\n", "print(list3) \n", " \n", " " ] }, { "cell_type": "code", "execution_count": null, "id": "e81e3731-1376-4f9d-87fb-83ba1e498047", "metadata": {}, "outputs": [], "source": [ "import json\n", "import datetime\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", "item['1']['en'] = 'lung'\n", "item['2']['en'] = 'grip'\n", "item['3']['en'] = 'flexion'\n", "item['6']['en'] = 'balance'\n", "item['7']['en'] = 'reaction'\n", "item['10']['en'] = 'height'\n", "item['11']['en'] = 'weight'\n", "#print(item)\n", "re_ta = {}\n", "dict1 = {}\n", "list1 = []\n", "filename = 'data/杨庙社区人员信息2307.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/places_result_20230803.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]['birth'] = dict1[user]['birth']\n", " item_name = item[str(m_item)]['en']\n", " re_ta[user].setdefault(item_name,{}) \n", " performance = int(result[4])/item[m_item]['divisor']\n", " score = result[5]\n", " re_ta[user][item_name]['成绩'] = performance\n", " re_ta[user][item_name]['得分'] = score\n", "list2 = ['grip','lung','balance','reaction','flexion']\n", "list3 = []\n", "result = {}\n", "for k, v in re_ta.items():\n", " dict2 = {}\n", " dict2['id'] = int(k)\n", " dict2['title'] = '杨庙社区'\n", " dict2['subtitle'] = ''\n", " dict2['name'] = v['name']\n", " if v['sex'] == '男':\n", " dict2['gender'] = 'male'\n", " else:\n", " dict2['gender'] = 'female'\n", " birth = v['birth'].split()[0].split('-') \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", " days = (datetime.date(2023, 7, 31)-datetime.date(nian,yue,ri)).days\n", " dict2['month'] = int(days/30)\n", " dict3 = {} \n", " for xm in list2:\n", " if xm in v.keys():\n", " mark = v[xm]['成绩']\n", " if xm == 'lung':\n", " mark = int(mark)\n", " \n", " dict3[xm] = {'mark':str(mark),'score':int(v[xm]['得分'])}\n", " if 'height' in v.keys():\n", " dict3['bmi'] = {'mark':str(v['height']['成绩'])+','+str(v['weight']['成绩']),'score':int(v['weight']['得分'])}\n", " dict2['fit'] = dict3\n", " result[k] = dict2\n", "\n", "filename = 'data/result_杨庙230801.json'\n", "with open(filename,'w') as fl:\n", " json.dump(result, fl) \n", "print('ok') " ] }, { "cell_type": "markdown", "id": "0c6da346-3406-40ad-a44a-0a47c0d6112a", "metadata": {}, "source": [ "## 规范身高体重" ] }, { "cell_type": "code", "execution_count": null, "id": "a814c55f-30af-4260-8885-3a6295a48fd7", "metadata": {}, "outputs": [], "source": [ "import json\n", "filename = 'data/result_杨庙2308.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for k, v in dict1.items():\n", " if 'bmi' in v['fit'].keys():\n", " old = v['fit']['bmi']['mark']\n", " height = old.split(',')[0]\n", " weight = old.split(',')[1]\n", " w = round(float(weight),1)\n", " v['fit']['bmi']['mark'] = height+','+str(w)\n", "filename = 'data/result_杨庙230801.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl, ensure_ascii=False) \n", "print('ok') " ] }, { "cell_type": "markdown", "id": "1ddd3641-94bf-4994-84da-8d97286cbfeb", "metadata": {}, "source": [ "## 问卷信息导入" ] }, { "cell_type": "code", "execution_count": null, "id": "1c56c463-2f13-4f74-bb3a-760b284360bf", "metadata": {}, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "filename = 'data/杨庙社区人员信息2307.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", "wb = openpyxl.load_workbook('data/杨庙问卷统计表（老年组）.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "dict1 = {}\n", "dict3 = {}\n", "sheet = wb.active\n", "data1 =list(sheet.values)\n", "list_bh = data1[0][1:]\n", "#print(list_bh)\n", "del data1[0]\n", "for i in range(1,len(list_bh)+1):\n", " list2 = []\n", " \n", " for item in data1:\n", " list2.append(item[i])\n", " dict1[list_bh[i-1]] = list2\n", "filename = 'data/result_杨庙2308.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", "for k,v in dict1.items():\n", " if str(k) in dict2.keys():\n", " if v[0] is not None:\n", " psy_yangmiao_old = v[:30]\n", " #dict2[str(k)]['psy_yangmiao_old'] = psy_yangmiao_old\n", " if v[30] is not None:\n", " tcm = v[30:90]\n", " #print(tcm,len(tcm))\n", " if v[90] is not None:\n", " spine = v[90:]\n", " xx22 = spine[21]\n", " xx23 = spine[22]\n", " spine[21] = xx23\n", " spine[22] = xx22\n", " \n", " dict2[str(k)]['psy_yangmiao_old'] = psy_yangmiao_old\n", " dict2[str(k)]['tcm'] = tcm\n", " dict2[str(k)]['spine'] = spine\n", "filename = 'data/result_杨庙2308.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict2, fl, ensure_ascii=False) \n", "print('ok') " ] }, { "cell_type": "markdown", "id": "77995e6a-86e4-49bb-a937-de38e13f1bd4", "metadata": {}, "source": [ "## 单份报告生成" ] }, { "cell_type": "code", "execution_count": 1, "id": "edcd9c2d-7254-493d-82e0-55556700330b", "metadata": { "execution": { "iopub.execute_input": "2023-08-16T08:53:29.466349Z", "iopub.status.busy": "2023-08-16T08:53:29.465563Z", "iopub.status.idle": "2023-08-16T08:53:30.567398Z", "shell.execute_reply": "2023-08-16T08:53:30.566465Z", "shell.execute_reply.started": "2023-08-16T08:53:29.466307Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "{\"errmsg\":\"ok\"}\n" ] } ], "source": [ "import requests\n", "import json\n", "\n", "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", "\n", "mydata ={\"path\":\"./于先生体测报告.pdf\",\n", " \"id\":\"00001\",\n", " \"title\":\"社区测试报告\",\n", " \"name\":\"于先生\",\n", " \"gender\":\"male\",\n", " \"month\":725,\n", " \"fit\":{\"grip\":{\"mark\":\"40.9\",\"score\":2},\n", " \"bmi\":{\"mark\":\"181.2,81.3\",\"score\":5},\n", " \"lung\":{\"mark\":\"4590\",\"score\":5},\n", " \"balance\":{\"mark\":\"57.2\",\"score\":4},\n", " \"reaction\":{\"mark\":\"0.466\",\"score\":4},\n", " \"flexion\":{\"mark\":\"-11.6\",\"score\":0},\n", " \"jump\":{\"mark\":\"26.3\",\"score\":2},\n", " \"pushup\":{\"mark\":\"3\",\"score\":1},\n", " \"step\":{\"mark\":\"43\",\"score\":1}\n", " },\n", " \"surveys\":{\"tcm\":[3,3,3,2,2,3,1,3,3,1,1,2,3,4,1,1,2,3,4,1,2,4,2,2,4,5,5,3,1,3,3,2,3,4,3,3,2,3,3,3,3,2,4,3,5,2,3,3,2,1,3,4,3,3,3,3,1,1,2,3],\"psy_yangmiao_old\":[3,3,2,3,3,3,4,4,4,1,4,4,4,4,5,5,5,3,4,3,3,4,4,3,4,4,3,4,3,3],\"spine\":[1,2,1,2,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,2,2,2,1,2]}}\n", "print(type(json.dumps(mydata)))\n", "x = requests.post('http://192.168.31.163:3003', data = json.dumps(mydata), headers=headers)\n", "print(x.text)" ] }, { "cell_type": "code", "execution_count": 1, "id": "0b528b37-18f5-4b05-bfad-73be35b120cc", "metadata": { "execution": { "iopub.execute_input": "2023-08-26T01:22:01.984551Z", "iopub.status.busy": "2023-08-26T01:22:01.983645Z", "iopub.status.idle": "2023-08-26T01:22:02.822718Z", "shell.execute_reply": "2023-08-26T01:22:02.821896Z", "shell.execute_reply.started": "2023-08-26T01:22:01.984511Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "{\"errmsg\":\"ok\"}\n" ] } ], "source": [ "import requests\n", "import json\n", "\n", "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", "\n", "mydata ={\"path\":\"./00343-殷焕章.pdf\",\n", " \"id\":\"00343\",\n", " \"title\":\"东营羊庙社区\",\n", " \"name\":\"殷焕章\",\n", " \"gender\":\"male\",\n", " \"month\":992,\n", " \"fit\":{\"grip\":{\"mark\":\"20.6\",\"score\":0},\n", " \"bmi\":{\"mark\":\"160.4,60.0\",\"score\":5},\n", " \"lung\":{\"mark\":\"1703\",\"score\":1},\n", " \"balance\":{\"mark\":\"3.9\",\"score\":2},\n", " \"reaction\":{\"mark\":\"1.519\",\"score\":0},\n", " \"flexion\":{\"mark\":\"8.9\",\"score\":4}\n", " }\n", " }\n", "print(type(json.dumps(mydata)))\n", "x = requests.post('http://192.168.31.163:3003', data = json.dumps(mydata), headers=headers)\n", "print(x.text)" ] }, { "cell_type": "markdown", "id": "27068dd5-8312-45c3-bbff-9f21646e895b", "metadata": {}, "source": [ "## 报告生成" ] }, { "cell_type": "code", "execution_count": null, "id": "7ad7eb19-d49d-4f28-b7f7-4776bf443946", "metadata": {}, "outputs": [], "source": [ "import requests\n", "import json\n", "\n", "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", "filename = 'data/result_杨庙230801.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "fiie_path ='./141/'\n", "dict2 = {}\n", "list1 = []\n", "for k, v in dict1.items():\n", " mydata = {}\n", " \n", " id = str(k).rjust(5,\"0\")\n", " mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n", " mydata['title'] = '东营杨庙社区'\n", " mydata['id'] = id\n", " mydata['name'] = v['name']\n", " mydata['gender'] = v['gender'] \n", " mydata['month'] = v['month']\n", " if 'fit' in v.keys():\n", " dict2 = {}\n", " for k1, v1 in v['fit'].items():\n", " dict2[k1] = v1\n", " mydata['fit'] = dict2\n", " #data['surveys'] = {}\n", " for item in ('tcm','psy_yangmiao_old','spine'):\n", " if item in v.keys():\n", " mydata.setdefault('surveys',{})\n", " dict2 = {} \n", " mydata['surveys'][item] = v[item]\n", " list1.append(mydata) \n", " #x = requests.post('http://192.168.31.163:3003', data = json.dumps(mydata), headers=headers)\n", " #print(id,v['name'],x.text)\n", " #x.close()\n", " #if k =='218':\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(\"data1.json\", \"w\",encoding = 'utf-8') as file:\n", " file.write(json_data) \n", " \n", " " ] }, { "cell_type": "code", "execution_count": null, "id": "6a01e1b1-778b-4dc8-99e5-f597f10f30a1", "metadata": {}, "outputs": [], "source": [ "import requests\n", "import json\n", "import time\n", "from pathlib import Path\n", "\n", "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", "filename = 'data/result_杨庙230801.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "file_path ='/home/songyi/pdf-typescript-master/141/'\n", "dict2 = {}\n", "list1 = []\n", "for k, v in dict1.items():\n", " id = str(k).rjust(5,\"0\")\n", " fn = file_path+id+'-'+ v['name']+'.pdf'\n", " \n", " mydata = {}\n", " \n", " id = str(k).rjust(5,\"0\")\n", " mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n", " mydata['title'] = '东营杨庙社区'\n", " mydata['id'] = id\n", " mydata['name'] = v['name']\n", " mydata['gender'] = v['gender'] \n", " mydata['month'] = v['month']\n", " if 'fit' in v.keys():\n", " dict2 = {}\n", " for k1, v1 in v['fit'].items():\n", " dict2[k1] = v1\n", " mydata['fit'] = dict2\n", " #data['surveys'] = {}\n", " for item in ('tcm','psy_yangmiao_old','spine'):\n", " if item in v.keys():\n", " mydata.setdefault('surveys',{})\n", " dict2 = {} \n", " mydata['surveys'][item] = v[item]\n", " \n", " x = requests.post('http://10.11.12.4:3003', data = json.dumps(mydata), headers=headers)\n", " print(id,v['name'],x.text)\n", " x.close()\n", " time.sleep(0.05)\n", " #if k =='218':\n", " # print(mydata)" ] }, { "cell_type": "markdown", "id": "4e80d173-8cba-46d0-86fd-4c031a649a00", "metadata": {}, "source": [ "## 生成报告人员信息" ] }, { "cell_type": "code", "execution_count": null, "id": "6f69631c-e2d7-431b-8114-c4bb45e394e7", "metadata": {}, "outputs": [], "source": [ "import json\n", "import openpyxl\n", "\n", "filename = 'data/result_杨庙230801.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "\n", "list1 = []\n", "for k, v in dict1.items():\n", " id = str(k).rjust(5,\"0\")\n", " \n", " name = v['name']\n", " list1.append([id,name])\n", "filename = 'data/杨庙测试2023年8月报告明细表.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": "aa34d7f2-9b6c-42c8-b777-60cc0c48a3a3", "metadata": {}, "source": [ "## 统计报告页数" ] }, { "cell_type": "code", "execution_count": null, "id": "ed2f8014-57c7-40d1-979f-f2d4818c748b", "metadata": {}, "outputs": [], "source": [ "import pdfplumber\n", "import glob\n", "\n", "file_path ='/home/songyi/pdf-typescript-master/141/'\n", "fls=glob.glob('/home/songyi/pdf-typescript-master/141/*.pdf')\n", "n = 0\n", "for fl in fls:\n", " pdf = pdfplumber.open(fl)\n", " n= n+len(pdf.pages)\n", " print(fl,len(pdf.pages))\n", "print(n)" ] }, { "cell_type": "markdown", "id": "6a867a50-3a97-47c3-8805-0b39b1137173", "metadata": {}, "source": [ "## 导入202303月体测信息" ] }, { "cell_type": "code", "execution_count": null, "id": "2bafc0b8-e849-4be7-8438-ba9fd2b87870", "metadata": {}, "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/杨庙体测明确人员信息（20230328）.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/places_result_20230812.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", " \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]['部门'] = 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", " re_ta[user][item_name]['得分'] = result[5]\n", "print(len(re_ta))\n", "filename = 'data/result_杨庙社区2303.json'\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl) \n", "print('ok')" ] }, { "cell_type": "markdown", "id": "761bd7a5-ef80-4fb9-b64e-983c8e788e2c", "metadata": {}, "source": [ "## 对应两次测试信息" ] }, { "cell_type": "code", "execution_count": null, "id": "c4da3291-ebec-4fc9-aaa0-6ecf836c5ff2", "metadata": {}, "outputs": [], "source": [ "import json\n", "import openpyxl\n", "\n", "dict4 = {\n", " 'lung':'肺活量',\n", " 'grip':'握力',\n", " 'flexion' : '坐位体前屈',\n", " 'balance' : '单脚站立',\n", " 'reaction' : '选择反应时'\n", "}\n", "\n", "wb = openpyxl.load_workbook('data/副本杨庙测试2023年8月报告明细表.xlsx')\n", "sheet = wb.active\n", "items = ['bmi','lung','grip','flexion','balance','reaction']\n", "dict1 = {}\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", " dict1[code] = str(sheet.cell(n, 3).value) \n", "filename = 'data/result_杨庙230801.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl) \n", "filename = 'data/result_杨庙社区2303.json'\n", "with open(filename,'r') as fl:\n", " dict3 = json.load(fl) \n", "list1 = []\n", "for k, v in dict1.items():\n", " list2 = []\n", " list2.append(k)\n", " list2.append(dict2[k]['name'])\n", " list2.append(dict2[k]['gender'])\n", " list2.append(dict3[dict1[k]]['部门'])\n", " for item in items:\n", " if item == 'bmi' and item in dict2[k]['fit'].keys():\n", " list2.append(dict2[k]['fit'][item]['mark'].split(',')[0])\n", " if '身高' in dict3[dict1[k]].keys():\n", " list2.append(dict3[dict1[k]]['身高']['成绩'])\n", " else:\n", " list2.append('') \n", " list2.append(dict2[k]['fit'][item]['mark'].split(',')[1])\n", " if '体重' in dict3[dict1[k]].keys():\n", " list2.append(dict3[dict1[k]]['体重']['成绩'])\n", " else:\n", " list2.append('')\n", " if item != 'bmi' and item in dict2[k]['fit'].keys():\n", " list2.append(dict2[k]['fit'][item]['mark'])\n", " if dict4[item] in dict3[dict1[k]].keys():\n", " list2.append(dict3[dict1[k]][dict4[item]]['成绩'])\n", " else:\n", " list2.append('') \n", " list1.append(list2)\n", "print(list1)\n", "filename = 'data/杨庙测试人员测试对比信息表.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "\n", "for row in list1:\n", " sheet.append(row)\n", "wb.save(filename) " ] } ], "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 }