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server.js
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executable file
·240 lines (202 loc) · 6.79 KB
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'use strict'
const fs = require('fs')
const http = require('http')
const https = require('https')
const privateKey = fs.readFileSync('assets/key.pem', 'utf8')
const certificate = fs.readFileSync('assets/certificate.pem', 'utf8')
const bodyParser = require('body-parser')
const AWS = require('aws-sdk')
AWS.config.update({region:'us-east-2'});
AWS.config.loadFromPath('assets/aws-config.json')
const rekognition = new AWS.Rekognition()
const credentials = {
key: privateKey,
cert: certificate
}
const express = require('express')
const app = express()
app.use(express.static('.'))
app.use(bodyParser.json({
limit: '500mb'
}))
app.use(bodyParser.urlencoded({
extended: true
}))
app.use(bodyParser.raw({
type: 'text/plain',
limit: '500mb'
}))
app.use((req, res, next) => {
console.log(`req.headers.origin ${req.headers.origin}`)
res.header("Access-Control-Allow-Credentials", "true")
res.header("Access-Control-Allow-Origin", `${req.headers.origin}`);
res.header("Access-Control-Allow-Headers", "Origin, X-Requested-With, Content-Type, Accept, contentType");
res.header("Access-Control-Allow-Methods", "POST, GET, OPTIONS, PUT, DELETE");
next();
})
// Health check endpoint
app.get('/health', (req, res) => {
res.status(200).json({
status: 'healthy',
service: 'AWS Rekognition API',
timestamp: new Date().toISOString(),
uptime: process.uptime(),
aws: {
region: 'us-east-2',
service: 'rekognition'
}
})
})
app.post('/doFaceAnalysis', async (req, res, next) => {
try {
// Validate request body
if (!req.body || req.body.length === 0) {
return res.status(400).json({
success: false,
error: 'Request body is required'
})
}
const postText = req.body.toString('utf-8')
// Validate base64 image data
if (!postText.includes('base64,')) {
return res.status(400).json({
success: false,
error: 'Invalid image format. Expected base64-encoded image data.'
})
}
const base64Text = postText.split('base64,')[1]
if (!base64Text) {
return res.status(400).json({
success: false,
error: 'No image data found after base64 marker'
})
}
const picData = Buffer.from(base64Text, 'base64')
// Validate buffer size
if (picData.length === 0) {
return res.status(400).json({
success: false,
error: 'Empty image buffer'
})
}
const result = await detectFaceAWSPromise(picData)
res.status(200).json({
success: true,
data: result
})
} catch(err) {
console.error('Face analysis error:', err)
res.status(500).json({
success: false,
error: err.message || 'Face analysis failed',
code: err.code
})
}
})
app.post('/doCompare', async (req, res, next) => {
try {
// Validate request body
if (!req.body || !req.body.leftImage || !req.body.rightImage) {
return res.status(400).json({
success: false,
error: 'Both leftImage and rightImage are required'
})
}
const leftPicText = req.body.leftImage.toString('utf-8')
const leftBase64Text = leftPicText.split('base64,')[1]
if (!leftBase64Text) {
return res.status(400).json({
success: false,
error: 'Invalid leftImage format'
})
}
const leftBase64Data = Buffer.from(leftBase64Text, 'base64')
const rightPicText = req.body.rightImage.toString('utf-8')
const rightBase64Text = rightPicText.split('base64,')[1]
if (!rightBase64Text) {
return res.status(400).json({
success: false,
error: 'Invalid rightImage format'
})
}
const rightBase64Data = Buffer.from(rightBase64Text, 'base64')
const compareResult = await compareFacesPromiseRaw(leftBase64Data, rightBase64Data)
res.status(200).json({
success: true,
data: compareResult
})
} catch (err) {
console.error('Face comparison error:', err)
res.status(500).json({
success: false,
error: err.message || 'Face comparison failed',
code: err.code
})
}
})
app.post('/savePics', async (req, res, next) => {
const leftPicText = req.body.leftImage.toString('utf-8')
const leftBase64Text = leftPicText.split('base64,')[1]
const leftBase64Data = Buffer.from(leftBase64Text, 'base64')
const rightPicText = req.body.rightImage.toString('utf-8')
const rightBase64Text = rightPicText.split('base64,')[1]
const rightBase64Data = Buffer.from(rightBase64Text, 'base64')
fs.writeFileSync('leftImage.png', leftBase64Data)
fs.writeFileSync('rightImage.png', rightBase64Data)
res.status(201).send('OK')
})
const httpServer = http.createServer(app)
const httpsServer = https.createServer(credentials, app)
const PORT = process.env.PORT || 80
httpServer.listen(PORT, () => {
console.log(`HTTP listening on ${PORT}`)
})
const PORT2 = process.env.PORT || 5555
httpsServer.listen(PORT2, () => {
console.log(`HTTPS listening on ${PORT2}`)
})
function compareFacesPromiseRaw(sourceImageBuffer, targetImageBuffer) {
return new Promise((resolve, reject) => {
const params = {
SimilarityThreshold: 0,
SourceImage: {
Bytes: sourceImageBuffer
},
TargetImage: {
Bytes: targetImageBuffer
}
}
rekognition.compareFaces(params, (err, data) => {
if (err) {
console.log('error in compare faces', err, err.stack)
reject(err)
} else {
resolve(data)
}
})
})
}
function detectFaceAWSPromise(picBuffer) {
return new Promise((resolve, reject) => {
let params = {
Image: {
Bytes: picBuffer
},
Attributes: ['ALL']
}
rekognition.detectFaces(params, (err, data) => {
if (err) {
console.log(err, err.stack)
reject(err)
} else {
console.log(JSON.stringify(data, null, 2))
resolve(data)
}
})
})
}
function compareFacesPromise(sourceFilename, targetFilename) {
const sourceBuffer = fs.readFileSync(sourceFilename)
const targetBuffer = fs.readFileSync(targetFilename)
return compareFacesPromiseRaw(sourceBuffer, targetBuffer)
}