yoosangwook 8d645d08dc refactor: API Router 코드 일부 리팩토링
- 패턴에 어긋나는 응답 포맷 수정
- 주석 작성
2025-03-25 13:33:36 +09:00

134 lines
3.4 KiB
JavaScript

import { NextResponse } from 'next/server'
import { S3Client, PutObjectCommand, DeleteObjectCommand, GetObjectCommand } from '@aws-sdk/client-s3'
import sharp from 'sharp'
import { v4 as uuidv4 } from 'uuid'
const Bucket = process.env.AMPLIFY_BUCKET
const s3 = new S3Client({
region: process.env.AWS_REGION,
credentials: {
accessKeyId: process.env.AWS_ACCESS_KEY_ID,
secretAccessKey: process.env.AWS_SECRET_ACCESS_KEY,
},
})
const checkArea = (obj) => {
const { width, height, left, top } = obj
if (left < 0 || top < 0 || width > 1600 || height > 1000) {
return false
}
return true
}
const cropImage = async (Key, width, height, left, top) => {
try {
const checkResult = checkArea({ width, height, left, top })
// Get the image from S3
const { Body } = await s3.send(
new GetObjectCommand({
Bucket,
Key,
}),
)
// Convert stream to buffer
const chunks = []
for await (const chunk of Body) {
chunks.push(chunk)
}
const imageBuffer = Buffer.concat(chunks)
let processedImage
if (!checkResult) {
processedImage = await sharp(imageBuffer).toBuffer()
} else {
processedImage = await sharp(imageBuffer)
.extract({
width: parseInt(width),
height: parseInt(height),
left: parseInt(left),
top: parseInt(top),
})
.png()
.toBuffer()
}
return processedImage
} catch (error) {
console.error('Error processing image:', error)
throw error
}
}
export async function POST(req) {
try {
const formData = await req.formData()
const file = formData.get('file')
const objectNo = formData.get('objectNo')
const planNo = formData.get('planNo')
const type = formData.get('type')
const width = formData.get('width')
const height = formData.get('height')
const left = formData.get('left')
const top = formData.get('top')
const OriginalKey = `Drawing/${uuidv4()}`
/**
* 원본 이미지를 우선 저장한다.
* 이미지 이름이 겹지는 현상을 방지하기 위해 uuid 를 사용한다.
*/
await s3.send(
new PutObjectCommand({
Bucket,
Key: OriginalKey,
Body: Buffer.from(await file.arrayBuffer()),
ContentType: 'image/png',
}),
)
/**
* 저장된 원본 이미지를 기준으로 크롭여부를 결정하여 크롭 이미지를 저장한다.
*/
const bufferImage = await cropImage(OriginalKey, width, height, left, top)
/**
* 크롭 이미지 이름을 결정한다.
*/
const Key = `Drawing/${objectNo}_${planNo}_${type}`
/**
* 크롭이 완료된 이미지를 업로드한다.
*/
await s3.send(
new PutObjectCommand({
Bucket,
Key,
Body: bufferImage,
ContentType: 'image/png',
}),
)
/**
* 크롭이미지 저장이 완료되면 원본 이미지를 삭제한다.
*/
await s3.send(
new DeleteObjectCommand({
Bucket,
Key: OriginalKey,
}),
)
const result = {
filePath: `https://${process.env.AMPLIFY_BUCKET}.s3.${process.env.AWS_REGION}.amazonaws.com/${Key}`,
fileName: Key,
}
return NextResponse.json(result)
} catch (error) {
console.error('Error in POST:', error)
return NextResponse.json({ error: 'Failed to process and upload image' }, { status: 500 })
}
}