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512song committed 2023-09-05 16:29:12 +08:00
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体测单位/东营杨庙202307.ipynb
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{
"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": [
"<class 'str'>\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": [
"<class 'str'>\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
}
体测单位/体测数据管理.ipynb
+193
View File
@@ -0,0 +1,193 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "dcfbd41f-ca70-4f15-9153-60e6aaac27e8",
"metadata": {},
"source": [
"## 生成手机验证码"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b68302b4-8fc1-4060-a10d-7f059f006f3c",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import openpyxl\n",
"import os,sys,shutil\n",
"import json\n",
"import math\n",
"import glob\n",
"import random\n",
"from pathlib import Path\n",
"import pymongo\n",
"\n",
"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
"mydb = myclient[\"baogao\"]\n",
"\n",
"\n",
"wb = openpyxl.load_workbook('data/北京石油分公司报告明细.xlsx')\n",
"place_id = 419309\n",
"place_code = '01'\n",
"dw_name = '北京石油分公司'\n",
"fi_path = 'file/2023-06-15'\n",
"fls = glob.glob(f'{fi_path}/*.pdf')\n",
"\n",
"code_list = []\n",
"for i in range(10): # 0~9\n",
" code_list.append(str(i))\n",
" \n",
"list1 = []\n",
"i = 0\n",
"while i < len(fls):\n",
" code = random.sample(code_list,6) #随机取6位数\n",
" code_num = ''.join(code) \n",
" if code_num not in list1:\n",
" list1.append(place_code+code_num)\n",
" i +=1\n",
"print(len(list1))\n",
"sheet = wb.active\n",
"# sheets = wb.sheetnames\n",
"list2 = []\n",
"i = 0\n",
"dict2 = {}\n",
"for n in range(2, sheet.max_row+1):\n",
" if sheet.cell(n,1).value is not None:\n",
" dict1 = {}\n",
" phone = str(sheet.cell(n, 3).value)\n",
" code = int(sheet.cell(n, 1).value)\n",
" yzm = list1[i]\n",
" i+=1\n",
" dict1 = {'place_id':place_id,'code':yzm,'fn':str(code)+'.pdf'}\n",
" list2.append(dict1)\n",
" dict2[code]={'phone':phone,'code':yzm}\n",
"mycol = mydb[\"pdf\"]\n",
"x = mycol.insert_many(list2)\n",
"filename = 'data/01.json'\n",
"with open(filename, 'w') as fl:\n",
" json.dump(dict2, fl, ensure_ascii=False)\n",
"print('ok')\n"
]
},
{
"cell_type": "markdown",
"id": "b9a157f4-4772-413e-82f4-ecb7d2af8529",
"metadata": {},
"source": [
"## 批量发送短信"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4b2b5d76-665f-4dfe-bbd3-5c80abd8c3e3",
"metadata": {},
"outputs": [],
"source": [
"from tencentcloud.common import credential\n",
"from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n",
"from tencentcloud.sms.v20210111 import sms_client, models\n",
"from tencentcloud.common.profile.client_profile import ClientProfile\n",
"from tencentcloud.common.profile.http_profile import HttpProfile\n",
"import json\n",
"\n",
"filename = 'data/01.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"for k, v in dict1.items():\n",
" phone = '+86'+v['phone']\n",
" yzm = v['code']\n",
" try: \n",
" secretId = \"AKID22rVyvSqbikXFFvav31ykc9YmqjN6KYc\"\n",
" secretKey = \"51XVL1YxDKI6mJh8au6DDuTskS1RhwJX\"\n",
" cred = credential.Credential(secretId, secretKey) \n",
" httpProfile = HttpProfile()\n",
" httpProfile.reqMethod = \"POST\" # post请求(默认为post请求)\n",
" httpProfile.reqTimeout = 30 # 请求超时时间，单位为秒(默认60秒)\n",
" httpProfile.endpoint = \"sms.tencentcloudapi.com\" # 指定接入地域域名(默认就近接入)\n",
" clientProfile = ClientProfile()\n",
" clientProfile.signMethod = \"TC3-HMAC-SHA256\" # 指定签名算法\n",
" clientProfile.language = \"en-US\"\n",
" clientProfile.httpProfile = httpProfile\n",
" client = sms_client.SmsClient(cred, \"ap-guangzhou\", clientProfile)\n",
" req = models.SendSmsRequest()\n",
" req.SmsSdkAppId = \"1400140089\"\n",
" req.SignName = \"坤铭教育\"\n",
" req.TemplateId = \"1875765\" \n",
" req.TemplateParamSet = [\"北京石油分公司体测者\",yzm]\n",
" req.PhoneNumberSet = [phone]\n",
" req.SessionContext = \"\"\n",
" req.ExtendCode = \"\"\n",
" req.SenderId = \"\"\n",
" #resp = client.SendSms(req)\n",
" dict2 = json.loads(resp.to_json_string(indent=2))\n",
"\n",
" print(v['phone'],dict2['SendStatusSet'][0][\"Message\"])\n",
" except TencentCloudSDKException as err:\n",
" print(v['phone'],err)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "eefec974-c4b7-43c8-82c2-6ad6e5045aa0",
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"\n",
"filename = 'data/01.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"for k, v in dict1.items():\n",
" phone = '+86'+v['phone']\n",
" yzm = v['code']\n",
" print(k,phone,yzm)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "df637ce6-7c35-404a-af43-2a5a66b49ba0",
"metadata": {},
"outputs": [],
"source": [
"dict1 = json.loads(resp.to_json_string(indent=2))\n",
"print(dict1['SendStatusSet'][0][\"Message\"])"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ba05bd1a-9f33-4df7-b15e-d110c19a5dea",
"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
}
体测单位/悟空仪器.ipynb
+503
View File
@@ -0,0 +1,503 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "cba4b789-a7f2-496f-ad57-a5656fe31bd1",
"metadata": {},
"source": [
"## 导入人员信息"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "feb31e69-387f-4856-a881-3044080e6d9a",
"metadata": {},
"outputs": [],
"source": [
"import openpyxl\n",
"import json\n",
"import datetime\n",
"\n",
"wb = openpyxl.load_workbook('data/悟空仪器人员信息表.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",
" dict1['unit'] = sheet.cell(n, 5).value\n",
" dict1['birth'] = str(sheet.cell(n, 4).value).split()[0]\n",
" birth = dict1['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, 8, 22)-datetime.date(nian,yue,ri)).days\n",
" dict1['month'] = int(days/365*12)\n",
" dict1['age'] = int(days/365)\n",
" person[code] = dict1\n",
"filename = 'data/悟空仪器.json'\n",
"with open(filename, 'w') as fl:\n",
" json.dump(person, fl, ensure_ascii=False,default=str)\n",
"print('ok')"
]
},
{
"cell_type": "markdown",
"id": "6b3f33d7-d4fa-438c-8620-e232ba37bdeb",
"metadata": {},
"source": [
"## 导入测试信息"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a1e5f045-2c26-414c-9ce0-eb73678ef0ce",
"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",
"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/悟空仪器.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"\n",
"filename = 'data/places_result_20230829.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",
" re_ta[user]['age'] = dict1[user]['age']\n",
" re_ta[user]['month'] = dict1[user]['month']\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'] = f'{score} {item[m_item][\"unit\"]}'\n",
"print(len(re_ta))\n",
"filename = 'data/result_悟空仪器.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": "bdee5e18-c4b0-4943-bed0-b9137b970661",
"metadata": {},
"source": [
"## 计算测试得分"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fd29332f-371e-410d-a709-58b9046cded1",
"metadata": {},
"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_悟空仪器.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 = 'data/result_悟空仪器1.json'\n",
"with open(filename,'w') as fl:\n",
" json.dump(dict2,fl , ensure_ascii=False) \n",
"print('ok!') \n",
" \n",
" "
]
},
{
"cell_type": "markdown",
"id": "507d5fec-a28b-498e-a7b3-10f1ed653e60",
"metadata": {},
"source": [
"## 生成报告"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8af556eb-3397-4ec7-8c88-52c8420a73c6",
"metadata": {},
"outputs": [],
"source": [
"import requests\n",
"import json\n",
"\n",
"headers = {\n",
" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
" }\n",
"filename = 'data/result_悟空仪器1.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"list1 = []\n",
"fiie_path ='./2201/'\n",
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\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'] = '悟空仪器'\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['fit'] = {}\n",
" for item in list_item:\n",
" if item in v.keys():\n",
" mydata['fit'][item] = {'mark':v[item]['成绩'].split()[0],'score':v[item]['score']}\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(\"data/悟空data1.json\", \"w\",encoding = 'utf-8') as file:\n",
" file.write(json_data) \n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e089a71e-dbcf-4327-a192-c7be5410662b",
"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_悟空仪器1.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"list1 = []\n",
"fiie_path ='./2201_1/'\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'] = '悟空仪器'\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",
" 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": "a7c6234f-64da-4db9-b626-309ec5e605bb",
"metadata": {},
"source": [
"## 计算项目平均分"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2fc0a9b0-6acf-460f-a827-ea9119ee4edc",
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"\n",
"filename = 'data/悟空data1.json'\n",
"with open(filename,'r') as fl:\n",
" list1 = json.load(fl)\n",
"dict2 = {}\n",
"#print(list1)\n",
"for item in list1:\n",
" for k, v in item['fit'].items():\n",
" dict2.setdefault(k,{'count':0,'score':0})\n",
" dict2[k]['count'] = dict2[k]['count']+1\n",
" dict2[k]['score'] = dict2[k]['score'] + v['score']\n",
"for k, v in dict2.items():\n",
" print(k,v['count'],v['score'],)\n",
" \n",
" "
]
},
{
"cell_type": "markdown",
"id": "677371c7-f5aa-457f-9baa-3fa4bda2dcf8",
"metadata": {},
"source": [
"## 核对成绩"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "51d613bb-c2d1-4e43-a156-f7ebad9948b8",
"metadata": {},
"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_20230826.csv'\n",
"with open(filename,'r',newline='') as csv_file:\n",
" fl = csv.reader(csv_file,delimiter=',')\n",
" header = next(fl) \n",
" for line in fl:\n",
" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
" list1.append(line)\n",
"#print(list1)\n",
"for result in list1:\n",
" user = str(result[2])\n",
" \n",
" m_item = str(result[3]) \n",
" re_ta.setdefault(user,{}) \n",
" item_name = item[m_item]['en']\n",
" re_ta[user].setdefault(item_name,{}) \n",
" score = int(result[4])/item[m_item]['divisor'] \n",
" re_ta[user][item_name]['成绩'] = result[5]\n",
"\n",
"filename = 'data/悟空data1.json'\n",
"with open(filename,'r') as fl:\n",
" list1 = json.load(fl)\n",
"for data in list1:\n",
" code = str(int(data['id']))\n",
" for k, v in data['fit'].items():\n",
" if code in re_ta.keys():\n",
" if k in item_list:\n",
" print(code,k,v['score'],re_ta[code][k]['成绩'])\n",
" if k == 'bmi':\n",
" print(code,k,v['score'],re_ta[code]['weight']['成绩'])\n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "951a7663-e152-4b82-9685-74912b9258d8",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}