removed frontend's aws request

@@ -15,8 +15,8 @@ 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: true }));
+app.use(express.json({limit : "50mb"}));
+app.use(express.urlencoded({  limit:"50mb",extended: true }));
 app.use(cookieParser());
 app.use(express.static(path.join(__dirname, "public")));
 

@@ -23,6 +23,11 @@
       "resolved": "https://registry.npmjs.org/array-flatten/-/array-flatten-1.1.1.tgz",
       "integrity": "sha1-ml9pkFGx5wczKPKgCJaLZOopVdI="
     },
+    "atob": {
+      "version": "2.1.2",
+      "resolved": "https://registry.npmjs.org/atob/-/atob-2.1.2.tgz",
+      "integrity": "sha512-Wm6ukoaOGJi/73p/cl2GvLjTI5JM1k/O14isD73YML8StrH/7/lRFgmg8nICZgD3bZZvjwCGxtMOD3wWNAu8cg=="
+    },
     "aws-sdk": {
       "version": "2.791.0",
       "resolved": "https://registry.npmjs.org/aws-sdk/-/aws-sdk-2.791.0.tgz",

@@ -7,6 +7,7 @@
   },
   "dependencies": {
     "@tensorflow-models/blazeface": "0.0.5",
+    "atob": "^2.1.2",
     "aws-sdk": "^2.791.0",
     "cookie-parser": "~1.4.4",
     "debug": "~2.6.9",

-// AWS.config.credentials = new AWS.Credentials("AKIATDD4YZYTAHUYQO7J","xUnIHtJOd/KrEw4HWLXs7JBtg2H2J1+MQfBIe6hj")
-// AWS.config.update({region: 'ap-northeast-2'});
\ No newline at end of file

@@ -65,33 +65,45 @@ async function AWS_req(img_byte){
     }, 
     MaxFaces: 5
    };
-   rekognition.searchFacesByImage(params, function(err, data){
-    if (err) {
-      console.log(err, err.stack); // an error occurred
-      alert("AWS Not configured. Check /pubilc/javascripts/aws_setup.js");
-      window.location.href = '/';
-    }
-      
-    else     console.log(data);           // successful response
-    if (data.FaceMatches.length>0){
-      post_data = {
-        "result": true,
-        "type" : element.value,
-        "landing": "false"
-      }
-    }
-    else{
    post_data = {
     "result": false,
     "type" : element.value,
-        "landing": "false"
+    "landing": "false",
+    "image":img_byte
   }
+  console.log(img_byte)
   redirectPost("/use",post_data)
-    }
-
-    
-    }
-   )
+  //  rekognition.searchFacesByImage(params, function(err, data){
+  //   if (err) {
+  //     console.log(err, err.stack); // an error occurred
+  //     alert("AWS Not configured. Check /pubilc/javascripts/aws_setup.js");
+  //     // window.location.href = '/';
+  //   }
+      
+  //   else     console.log(data);           // successful response
+  //   if (data.FaceMatches.length>0){
+  //     post_data = {
+  //       "result": true,
+  //       "type" : element.value,
+  //       "landing": "false",
+  //       "image":img_byte
+  //     }
+  //     // redirectPost("/use",post_data)
+  //   }
+  //   else{
+  //     post_data = {
+  //       "result": false,
+  //       "type" : element.value,
+  //       "landing": "false",
+  //       "image":img_byte
+  //     }
+  //     console.log('me!')
+  //     // redirectPost("/use",post_data)
+  //   }
+
+    
+  //   }
+  //  )
    
 } 
 
@@ -157,7 +169,7 @@ function onClick(){
     ua[i] = enc_data.charCodeAt(i);
   }
   // console.log(ua)
-  AWS_req(ua)
+  AWS_req(dataURL)
 
 }
 const setupPage = async () => {

 var express = require("express");
 var router = express.Router();
+var AWS = require("aws-sdk");
+var fs = require("fs");
+var atob = require('atob');
+AWS.config.loadFromPath("./config.json");
+var rekognition = new AWS.Rekognition();
 
 const { exec } = require("child_process");
 
 router.post("/", function (req, res, next) {
   console.log(req.body)
-  if(req.body.landing == "true"){
+  if (req.body.landing == "true") {
     res.render('use', { method: req.body.type })
   }
-  else{
-    exec(
-      "python action.py " +
-        req.body.type,
-      (error, stdout, stderr) => {
-        if (error) {
-          res.render("error",{message : "Error", title:"No action.py", content:"make sure you have cloned github repository" });
-          return;
+  else {
+    image = req.body.image
+    // console.log(image)
+    //   var img_arr = req.body.image.split(',').map(function(item) {
+    //     return parseInt(item, 10);
+    // });
+    // console.log(img_arr)
+    // enc_data = Buffer.from(image.split("data:image/png;base64,")[1], 'base64').toString('ascii')
+    if(image[11]=='p')
+      enc_data = atob(image.split("data:image/png;base64,")[1])
+    else if(image[11]=='j')
+      enc_data = atob(image.split("data:image/jpeg;base64,")[1])
+    var length = enc_data.length;
+    imageBytes = new ArrayBuffer(length);
+    var ua = new Uint8Array(imageBytes);
+    for (var i = 0; i < length; i++) {
+      ua[i] = enc_data.charCodeAt(i);
+    }
+    // console.log(imageBytes)
+    var params = {
+      CollectionId: "6jj2",
+      FaceMatchThreshold: 95,
+      Image: {
+        Bytes: imageBytes
+      },
+      MaxFaces: 5
+    };
+    rekognition.searchFacesByImage(params, function (err, data) {
+      if (err) {
+        console.log(err, err.stack);
       }
-        if (stderr) {
-          res.render("error",{message : "Error", title:"No action.py", content:"make sure you have cloned github repository" });
-          return;
+      else {
+        if (data.FaceMatches.length>0){
+          res.redirect("/");
+        }
+        else{
+          // todo 잠금 페이지로 이동.
         }
-        console.log(`stdout: ${stdout}`);
-        res.render("action");
       }
-    );
+    });
   }
 });
 

 <h1><%= message %></h1>
-<h2><%= title %></h2>
-<pre><%= content %></pre>
+
+<h2><%= error.status %></h2>
+<pre><%= error.stack %></pre>
 <a href="/"> go back to home </a>