app.js
3.17 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
var createError = require('http-errors');
var express = require('express');
var formidable = require('formidable');
var path = require('path');
var cookieParser = require('cookie-parser');
var logger = require('morgan');
var fs = require('fs')
var AWS = require('aws-sdk'); // AWS 의 서비스를 이용하기 위해 사용
const { Rekognition } = require('aws-sdk');
// 이미지를 저장할 버킷 이름
var bucketName = "kindofyourdogimage";
// s3 버킷의 엔드 포인트
var bucketRegion = 'ap-northeast-2';
// access key
var accessId= 'your_accessId';
// access secret key
var secretKey = 'yout_secretKey';
// AWS Cognito 인증
AWS.config.update({
region:bucketRegion,
accessKeyId:accessId,
secretAccessKey:secretKey
});
// image업로드 시 해당 route기능 사용
var app = express();
// view engine setup
app.set('views', path.join(__dirname, 'views'));
app.set('view engine', 'ejs');
app.use(logger('dev'));
app.use(express.json());
app.use(express.urlencoded({ extended: false }));
app.use(cookieParser());
app.use(express.static(path.join(__dirname, 'public')));
// image 올리는 화면
app.get('/', function(req, res){
res.render('index');
});
// image를 받았을 때
app.post('/upload_receiver', function(req,res){
//rekognition 객체
var dogKind = "";
//req 받아옴
var form = new formidable.IncomingForm();
//form을 종류별로 파싱함
form.parse(req, function(err, fields, files){
//s3객체를 만듦
var s3 = new AWS.S3();
//s3에 저장할 형식을 만듦
var params = {
Bucket:bucketName,
ACL:'public-read',
Key:files.userfile.name,
Body: require('fs').createReadStream(files.userfile.path)
}
console.log(files.userfile.name);
//s3에 저장함
s3.upload(params, function(err, data){
var result='';
if(err)
result = 'Fail';
else{
params = {
"Image": {
"S3Object": {
"Bucket": bucketName,
"Name": files.userfile.name
}
},
"MaxLabels": 10,
"MinConfidence": 75
};
// rekogition으로 데이터 분석
var client = new Rekognition();
client.detectLabels(params, function(err, response) {
console.log(params);
response.Labels.some(label => {
if(label.Parents.length > 4 && label.Name != 'Puppy') {
console.log(label.Name);
dogKind = label.Name;
console.log(dogKind);
res.render('kind',{dogKind:dogKind});
return true;
}
});
});
result = `<img src="${data.Location}>`;
console.log(result);
}
});
});
//console.log(err, fields,files)
});
// catch 404 and forward to error handler
app.use(function(req, res, next) {
next(createError(404));
});
// error handler
app.use(function(err, req, res, next) {
// set locals, only providing error in development
res.locals.message = err.message;
res.locals.error = req.app.get('env') === 'development' ? err : {};
// render the error page
res.status(err.status || 500);
res.render('error');
});
module.exports = app;