modified

-var express = require('express');
-const request = require('request');
-const TARGET_URL = 'https://api.line.me/v2/bot/message/reply'
+const express = require('express');
+const multer = require('multer');
+const bodyParser = require('body-parser');
+const session = require('express-session');
+const util = require('util');
+const vision = require('@google-cloud/vision'); //google cloud vision api module
+const translate = require('@google-cloud/translate').v3beta1; //google cloud translate api module
+const credentials = require('/home/ubuntu/termproject/focused-clock-277615-3a427d503822.json');
+const client = new vision.ImageAnnotatorClient( {credentials} );
+const {Storage} = require('@google-cloud/storage'); //google cloud translate api storage api moudle
+const projectId = 'focused-clock-277615';
+const keyFilename = '/home/ubuntu/termproject/focused-clock-277615-3a427d503822.json';
+const storage = new Storage({projectId, keyFilename});
+var upload = multer({ storage: _storage});
+var fs = require('fs');
+var app = express();
+
 const TOKEN = 'h8xN39Zg0nRmPhRcwCfUt35UhGQvinzOSzl1VSHWPdaKaW4VDDs2bTvhvxnOH1FVzzJ4t1L0ih/uJ1idIKz8SvPin3PM4nLgt6roTaEVw105aIsZqDwlsKPS2ewb2WVbL2TK/BqVEBQ2MmHO2xFRzAdB04t89/1O/w1cDnyilFU='
 const TOKEN = 'h8xN39Zg0nRmPhRcwCfUt35UhGQvinzOSzl1VSHWPdaKaW4VDDs2bTvhvxnOH1FVzzJ4t1L0ih/uJ1idIKz8SvPin3PM4nLgt6roTaEVw105aIsZqDwlsKPS2ewb2WVbL2TK/BqVEBQ2MmHO2xFRzAdB04t89/1O/w1cDnyilFU='
 const PAPAGO_URL = 'https://openapi.naver.com/v1/papago/n2mt'
 const PAPAGO_URL = 'https://openapi.naver.com/v1/papago/n2mt'
 const PAPAGO_ID = 'W5BknW1dTHXMah9QZ_KK'
 const PAPAGO_ID = 'W5BknW1dTHXMah9QZ_KK'
 const PAPAGO_SECRET = 'doQdf3ZMU3'
 const PAPAGO_SECRET = 'doQdf3ZMU3'
-const fs = require('fs');
-const path = require('path');
-const HTTPS = require('https');
-const domain = "www.oss0522test.tk"
-const sslport = 23023;
-const bodyParser = require('body-parser');
-
-const vision = require('@google-cloud/vision'); //구글 클라우드 비전 api
-const line = require('@line/bot-sdk');
-
-
-//1. 이미지 텍스트 추출 - google cloud vision api 사용
-//   전송받은 이미지 불러오기 -> 추출
-//2.  추출 후 바로 번역? / 텍스트만 출력?
-//3. richmenu 활용하기 
-
-
-
-/*
-var query = "언어를 감지할 문장을 입력하세요.";
-app.get('/detectLangs', function (req, res) {
-   var api_url = 'https://openapi.naver.com/v1/papago/detectLangs';
-   var request = require('request');
-   var options = {
-       url: api_url,
-       form: {'query': query},
-       headers: {'X-Naver-Client-Id':PAPAGO_ID, 'X-Naver-Client-Secret': PAPAGO_SECRET}
-    };
-   request.post(options, function (error, response, body) {
-     if (!error && response.statusCode == 200) {
-       res.writeHead(200, {'Content-Type': 'text/json;charset=utf-8'});
-       res.end(body);
-     } else {
-       res.status(response.statusCode).end();
-       console.log('error = ' + response.statusCode);
-     }
-   });
- });
- app.listen(3000, function () {
-   console.log('http://127.0.0.1:3000/detectLangs app listening on port 3000!');
- });
- */
-
-const client_vision = new vision.ImageAnnotatorClient();
-
- //이미지에서 텍스트 추출
-function vision_image(bucketName, fileName){
-  const [result] = await client_vision.textDetection(`gs://${bucketName}/${fileName}`);
-  const detections = result.textAnnotations;
-  console.log('Text:');
-  detections.forEach(text => console.log(text));
-}
-
+var request = require('request');
 
 
-
-
-
-
-
-const client_line = new line.Client({
-  channelAccessToken: TOKEN
-});
-
-client_line.setRichMenuImage('<rich_menu_id>', fs.createReadStream('./example.png')) //richmenu 이미지 설정
-
-client_line.createRichMenu(richmenu) //richmenu 만들기
-  .then((richMenuId) =>
-  console.log(richMenuId))
-
-const richmenu = {
-    "size": {
-        "width": 2500,
-        "height": 1686
+var _storage = multer.diskStorage({
+    destination: function (req, file, cb) {  //path - 파일의 형식에 따라 나눔 if문
+      cb(null, 'uploads/')
     },
     },
-      "selected": false,
-      "name": "Choose language",
-      "chatBarText": "ko/ja/en/fr",
-      "areas": [
-        {
-          "bounds": {
-            "x": 0,
-            "y": 0,
-            "width": 2500,
-            "height": 1686
-          },
-          "action": {
-            "type": "postback",
-            "data": "action=buy&itemid=123"
-          }
+    filename: function (req, file, cb) { //filename 중복된 파일이 존재하는지
+      cb(null, file.originalname)
     }
     }
-      ]
-};
-
-
-
+  })
 
 
+app.use(bodyParser.urlencoded({ extended: false }));
+app.locals.pretty = true;
+app.set('views', './views_file');
+app.set('view engine', 'jade');
 
 
+app.use('/user', express.static('uploads'));
 
 
 
 
+//파일 업로드
+app.get('/upload', function(req, res){
+    res.render('upload');
+})
 
 
+//업로드된 파일 받기
+app.post('/upload', upload.single('userfile'), function(req, res){
+    console.log(req.file);
 
 
-var app = express();
-app.use(bodyParser.json());
-var trans_lang;
-app.post('/hook', function (req, res) {
-
-    var eventObj = req.body.events[0];
-    var source = eventObj.source;
-    var message = eventObj.message;
-
+    ImageRecognition(req.file.originalname); //사진에서 문자 인식
+    //PAPAGOtranslation();
 
 
-    // request log
-    console.log('======================', new Date() ,'======================');
-    console.log('[request]', req.body);
-    console.log('[request source] ', eventObj.source);
-    console.log('[request message]', eventObj.message);
+    res.send('Uploaded' + req.file.originalname );
+})
 
 
 
 
-    if (eventObj.message.type == "text"){ //입력이 텍스트일 경우 
+//문자 인식 함수
+async function ImageRecognition(uploadedfilename) { 
+  const fileName = `/home/ubuntu/termproject/uploads/${uploadedfilename}`;
+  const [result] = await client.textDetection(fileName);
+  console.log('Text: '+ result.fullTextAnnotation.text);
+  PAPAGOtranslation (result.fullTextAnnotation.text); //번역
+  //const detections = result.textAnnotations;
+  //detections.forEach(text => console.log(text));
+}
 
 
-        if (eventObj.message.text == '영어'){
-            trans_lang = 'en';
-        }else if (eventObj.message.text == '일본어'){
-            trans_lang = 'ja';
-        }else if (eventObj.message.text == '프랑스어'){
-            trans_lang = 'fr';
-        }else {
-            trans(eventObj.replyToken, eventObj.message.text, trans_lang);
-        }
+//google cloud storage bucket list 함수
+async function googlevisiontest(){
     
     
-    } else if (eventObj.message.type == "image"){ //입력이 이미지일 경우 
-      //이미지 저장? -> google cloud storage이나 웹
-        vision_iamge(bucketName, fileName);
-        //추출된 텍스트, 번역된 텍스트
+  try {
+  const [buckets] = await storage.getBuckets();
 
 
+  console.log('Buckets:');
+  buckets.forEach((bucket) => {
+      console.log(bucket.name);
+  });
+  } catch (err) {
+  console.error('ERROR:', err);
   }
   }
+}
+//googlevisiontest();
 
 
-
-    res.sendStatus(200);
-});
-
-
-function trans(replyToken, message, language) {
+//papago trans
+function PAPAGOtranslation (query) {
 
 
   request.post(
   request.post(
     {
     {
       url: PAPAGO_URL,
       url: PAPAGO_URL,
-            headers: {
-                'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',
-                'X-Naver-Client-Id': `${PAPAGO_ID}`,
-                'X-Naver-Client-Secret': `${PAPAGO_SECRET}`
-            },
-            body: `source=ko&target=${language}&text=` + message,
+      form: {'source':'ko', 'target':'en', 'text':query},
+      headers: {'X-Naver-Client-Id':PAPAGO_ID, 'X-Naver-Client-Secret': PAPAGO_SECRET},
+      body: `source=ko&target=en&text=` + query,
       json:true
       json:true
-        },(error, response, body) => {
+    }, (error, response, body) => {
       if(!error && response.statusCode == 200) {
       if(!error && response.statusCode == 200) {
-                console.log(body.message);
         var transMessage = body.message.result.translatedText;
         var transMessage = body.message.result.translatedText;
+        console.log(transMessage);
+        /* //라인에 전송
         request.post(
         request.post(
             {
             {
                 url: TARGET_URL,
                 url: TARGET_URL,
@@ -180,23 +112,9 @@ function trans(replyToken, message, language) {
                 }
                 }
             },(error, response, body) => {
             },(error, response, body) => {
                 console.log(body)
                 console.log(body)
-                    });
+            }); */
     }
     }
-        });
-
+});
 }
 }
 
 
-try {
-    const option = {
-      ca: fs.readFileSync('/etc/letsencrypt/live/' + domain +'/fullchain.pem'),
-      key: fs.readFileSync(path.resolve(process.cwd(), '/etc/letsencrypt/live/' + domain +'/privkey.pem'), 'utf8').toString(),
-      cert: fs.readFileSync(path.resolve(process.cwd(), '/etc/letsencrypt/live/' + domain +'/cert.pem'), 'utf8').toString(),
-    };
-  
-    HTTPS.createServer(option, app).listen(sslport, () => {
-      console.log(`[HTTPS] Server is started on port ${sslport}`);
-    });
-  } catch (error) {
-    console.log('[HTTPS] HTTPS 오류가 발생하였습니다. HTTPS 서버는 실행되지 않습니다.');
-    console.log(error);
-  }
\ No newline at end of file
+ var server = app.listen(23023);
\ No newline at end of file

@@ -4,9 +4,9 @@
     "description": "photo",
     "description": "photo",
     "main": "app.js",
     "main": "app.js",
     "dependencies": {
     "dependencies": {
-        "@google-cloud/storage": "^5.1.0",
+        "@google-cloud/storage": "^5.1.1",
         "@google-cloud/translate": "^6.0.0",
         "@google-cloud/translate": "^6.0.0",
-        "@google-cloud/vision": "^2.0.0",
+        "@google-cloud/vision": "^2.1.0",
         "axios": "^0.19.2",
         "axios": "^0.19.2",
         "body-parser": "^1.19.0",
         "body-parser": "^1.19.0",
         "core-js": "^3.6.5",
         "core-js": "^3.6.5",
@@ -17,7 +17,8 @@
         "jade": "^1.11.0",
         "jade": "^1.11.0",
         "multer": "^1.4.2",
         "multer": "^1.4.2",
         "pug": "^3.0.0",
         "pug": "^3.0.0",
-        "request": "^2.88.2"
+        "request": "^2.88.2",
+        "util": "^0.12.3"
     },
     },
     "repository field": {
     "repository field": {
         "type": "http",
         "type": "http",