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Add reward image optimization pipeline

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- reward-products/ 이미지를 리사이즈(메인 1080px, 상세 너비 1440px) + WebP(품질 82)로 변환하는 공용 서비스 추가 (sharp)
- Storage 트리거 onRewardImageUploaded(us-central1)로 이후 업로드에도 자동 적용 — 다운로드 토큰을 보존해 기존 URL이 그대로 유효
- 기존 자산 일괄 최적화 스크립트(npm run optimize:reward-images) 추가, 실행 결과 38개 파일 135MB → 5.7MB
- 재처리 무한루프는 rewardImageOptimized 메타데이터 플래그로 방지
This commit is contained in:
윤정민 2026-07-20 13:04:29 +09:00
parent 6343a817af
commit 1c60607683
6 changed files with 811 additions and 7 deletions
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package-lock.json generated
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@ -10,7 +10,8 @@
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"integrity": "sha512-Btj2BOOO83o3WyH59e8MgXsxEQVcarkUOpEYrubB0urwnN10yQ364rsiByU11nZlqWYZm05i/of7io4mzihBtQ==",
"dev": true,
"license": "Apache-2.0",
"engines": {
"node": ">=8"
@ -9980,9 +10538,9 @@
"license": "MIT"
},
"node_modules/semver": {
"version": "7.7.4",
"resolved": "https://registry.npmjs.org/semver/-/semver-7.7.4.tgz",
"integrity": "sha512-vFKC2IEtQnVhpT78h1Yp8wzwrf8CM+MzKMHGJZfBtzhZNycRFnXsHk6E5TxIkkMsgNS7mdX3AGB7x2QM2di4lA==",
"version": "7.8.5",
"resolved": "https://registry.npmjs.org/semver/-/semver-7.8.5.tgz",
"integrity": "sha512-Y7/KDsb8LjooZpwaqGyulO6DQlksgCncchHGk+sZIY4SBvUocMBEFH5Ur1fI4dV+Jvl0w6cjvucaIi40puRioA==",
"license": "ISC",
"bin": {
"semver": "bin/semver.js"
@ -10103,6 +10661,55 @@
"integrity": "sha512-E5LDX7Wrp85Kil5bhZv46j8jOeboKq5JMmYM3gVGdGH8xFpPWXUMsNrlODCrkoxMEeNi/XZIwuRvY4XNwYMJpw==",
"license": "ISC"
},
"node_modules/sharp": {
"version": "0.35.3",
"resolved": "https://registry.npmjs.org/sharp/-/sharp-0.35.3.tgz",
"integrity": "sha512-ej0zVHuZGHCiABXcNxeYhpRnPNPAcvbG8RMdBAhDAxLKkCRVSpK3Iyu7qbqw3JMzoj0REeM6f3tJLtVwl0023Q==",
"license": "Apache-2.0",
"dependencies": {
"@img/colour": "^1.1.0",
"detect-libc": "^2.1.2",
"semver": "^7.8.5"
},
"engines": {
"node": ">=20.9.0"
},
"funding": {
"url": "https://opencollective.com/libvips"
},
"optionalDependencies": {
"@img/sharp-darwin-arm64": "0.35.3",
"@img/sharp-darwin-x64": "0.35.3",
"@img/sharp-freebsd-wasm32": "0.35.3",
"@img/sharp-libvips-darwin-arm64": "1.3.2",
"@img/sharp-libvips-darwin-x64": "1.3.2",
"@img/sharp-libvips-linux-arm": "1.3.2",
"@img/sharp-libvips-linux-arm64": "1.3.2",
"@img/sharp-libvips-linux-ppc64": "1.3.2",
"@img/sharp-libvips-linux-riscv64": "1.3.2",
"@img/sharp-libvips-linux-s390x": "1.3.2",
"@img/sharp-libvips-linux-x64": "1.3.2",
"@img/sharp-libvips-linuxmusl-arm64": "1.3.2",
"@img/sharp-libvips-linuxmusl-x64": "1.3.2",
"@img/sharp-linux-arm": "0.35.3",
"@img/sharp-linux-arm64": "0.35.3",
"@img/sharp-linux-ppc64": "0.35.3",
"@img/sharp-linux-riscv64": "0.35.3",
"@img/sharp-linux-s390x": "0.35.3",
"@img/sharp-linux-x64": "0.35.3",
"@img/sharp-linuxmusl-arm64": "0.35.3",
"@img/sharp-linuxmusl-x64": "0.35.3",
"@img/sharp-webcontainers-wasm32": "0.35.3",
"@img/sharp-win32-arm64": "0.35.3",
"@img/sharp-win32-ia32": "0.35.3",
"@img/sharp-win32-x64": "0.35.3"
},
"peerDependenciesMeta": {
"@types/node": {
"optional": true
}
}
},
"node_modules/shebang-command": {
"version": "2.0.0",
"resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz",

6
package.json
View File

@ -13,7 +13,8 @@
"test:watch": "vitest",
"tools:sheet": "npx tsx scripts/chat-tools-sheet.ts",
"seed:rewards": "npx tsx scripts/seed-reward-products.ts",
"upload:reward-assets": "npx tsx scripts/upload-reward-product-assets.ts"
"upload:reward-assets": "npx tsx scripts/upload-reward-product-assets.ts",
"optimize:reward-images": "npx tsx scripts/optimize-reward-product-images.ts"
},
"engines": {
"node": "24"
@ -23,7 +24,8 @@
"@anthropic-ai/sdk": "^0.104.1",
"@google/genai": "^2.8.0",
"firebase-admin": "^13.6.0",
"firebase-functions": "^7.0.0"
"firebase-functions": "^7.0.0",
"sharp": "^0.35.3"
},
"devDependencies": {
"@typescript-eslint/eslint-plugin": "^5.12.0",

115
scripts/optimize-reward-product-images.ts Normal file
View File

@ -0,0 +1,115 @@
/**
* Storage의 reward-products/ 이미지 전체를 리사이즈 + WebP로 일괄 최적화한다.
* 같은 오브젝트 경로에 덮어쓰고 다운로드 토큰을 보존하므로 Firestore에 저장된 URL은 그대로 유효하다.
* 실행: npm run optimize:reward-images
*/
import { execFileSync, execSync } from "node:child_process";
import { OPTIMIZED_FLAG, optimizeRewardImage, targetForPath } from "../src/services/imageOptimizeService";
const storageBucket = "mmday-panit.firebasestorage.app";
const accessToken = (process.platform === "win32" ?
execSync("gcloud auth print-access-token", { encoding: "utf8", windowsHide: true }) :
execFileSync("gcloud", ["auth", "print-access-token"], { encoding: "utf8", windowsHide: true })).trim();
const apiBase = `https://storage.googleapis.com/storage/v1/b/${storageBucket}/o`;
const uploadBase = `https://storage.googleapis.com/upload/storage/v1/b/${storageBucket}/o`;
const authHeader = { Authorization: `Bearer ${accessToken}` };
interface StorageObject {
name: string;
size: string;
contentType?: string;
metadata?: Record<string, string>;
}
async function listObjects(): Promise<StorageObject[]> {
const items: StorageObject[] = [];
let pageToken: string | undefined;
do {
const params = new URLSearchParams({
prefix: "reward-products/",
fields: "items(name,size,contentType,metadata),nextPageToken",
});
if (pageToken) params.set("pageToken", pageToken);
const res = await fetch(`${apiBase}?${params}`, { headers: authHeader });
if (!res.ok) throw new Error(`list failed: ${res.status} ${await res.text()}`);
const body = await res.json() as { items?: StorageObject[]; nextPageToken?: string };
items.push(...(body.items ?? []));
pageToken = body.nextPageToken;
} while (pageToken);
return items;
}
async function download(name: string): Promise<Buffer> {
const res = await fetch(`${apiBase}/${encodeURIComponent(name)}?alt=media`, { headers: authHeader });
if (!res.ok) throw new Error(`download failed for ${name}: ${res.status}`);
return Buffer.from(await res.arrayBuffer());
}
async function markOptimized(name: string): Promise<void> {
const res = await fetch(`${apiBase}/${encodeURIComponent(name)}`, {
method: "PATCH",
headers: { ...authHeader, "Content-Type": "application/json" },
body: JSON.stringify({ metadata: { [OPTIMIZED_FLAG]: "true" } }),
});
if (!res.ok) throw new Error(`metadata patch failed for ${name}: ${res.status} ${await res.text()}`);
}
/** multipart 업로드로 본문과 메타데이터(토큰 보존 + 최적화 플래그)를 한 번에 교체한다. */
async function overwrite(obj: StorageObject, data: Buffer): Promise<void> {
const boundary = "reward-image-optimize-boundary";
const metadata = {
name: obj.name,
contentType: "image/webp",
metadata: { ...(obj.metadata ?? {}), [OPTIMIZED_FLAG]: "true" },
};
const body = Buffer.concat([
Buffer.from(
`--${boundary}\r\nContent-Type: application/json; charset=UTF-8\r\n\r\n` +
`${JSON.stringify(metadata)}\r\n` +
`--${boundary}\r\nContent-Type: image/webp\r\n\r\n`),
data,
Buffer.from(`\r\n--${boundary}--`),
]);
const res = await fetch(`${uploadBase}?uploadType=multipart`, {
method: "POST",
headers: { ...authHeader, "Content-Type": `multipart/related; boundary=${boundary}` },
body,
});
if (!res.ok) throw new Error(`upload failed for ${obj.name}: ${res.status} ${await res.text()}`);
}
async function main() {
const objects = await listObjects();
let before = 0;
let after = 0;
for (const obj of objects) {
const size = Number(obj.size);
const target = targetForPath(obj.name);
if (!target) { console.log(`skip (path) ${obj.name}`); continue; }
if (obj.metadata?.[OPTIMIZED_FLAG] === "true") {
console.log(`skip (done) ${obj.name}`);
before += size; after += size;
continue;
}
const input = await download(obj.name);
const output = await optimizeRewardImage(input, target);
before += size;
if (output.data.length >= input.length) {
await markOptimized(obj.name);
after += size;
console.log(`skip (small) ${obj.name} ${(size / 1024).toFixed(0)}KB`);
continue;
}
await overwrite(obj, output.data);
after += output.data.length;
console.log(
`optimized ${obj.name} ` +
`${(size / 1048576).toFixed(1)}MB -> ${(output.data.length / 1024).toFixed(0)}KB ` +
`(${output.width}x${output.height})`);
}
console.log(`\nTOTAL ${objects.length} files: ${(before / 1048576).toFixed(1)}MB -> ${(after / 1048576).toFixed(1)}MB`);
}
main().catch((err) => { console.error(err); process.exit(1); });

1
src/index.ts
View File

@ -16,3 +16,4 @@ export { kboDailyRefresh } from "./scheduled/kboRefresh";
export { dailyArchive } from "./scheduled/dailyArchive";
export { accountPurge } from "./scheduled/accountPurge";
export { onGameCompleted } from "./triggers/onGameCompleted";
export { onRewardImageUploaded } from "./triggers/onRewardImageUploaded";

33
src/services/imageOptimizeService.ts Normal file
View File

@ -0,0 +1,33 @@
import sharp from "sharp";
/** 이 플래그가 커스텀 메타데이터에 있으면 이미 최적화된 파일이므로 다시 처리하지 않는다. */
export const OPTIMIZED_FLAG = "rewardImageOptimized";
export const WEBP_QUALITY = 82;
export interface ImageTarget { maxWidth: number; maxHeight: number; }
/** 메인은 1:1 카드/갤러리용, 상세는 세로 스크롤 전체 너비용 한도. */
export function targetForPath(objectPath: string): ImageTarget | null {
const match = objectPath.match(/^reward-products\/[^/]+\/(main|detail)\//);
if (!match) return null;
return match[1] === "main" ?
{ maxWidth: 1080, maxHeight: 1080 } :
{ maxWidth: 1440, maxHeight: 16000 };
}
export interface OptimizedImage { data: Buffer; width: number; height: number; }
export async function optimizeRewardImage(input: Buffer, target: ImageTarget): Promise<OptimizedImage> {
const { data, info } = await sharp(input)
.rotate()
.resize({
width: target.maxWidth,
height: target.maxHeight,
fit: "inside",
withoutEnlargement: true,
})
.webp({ quality: WEBP_QUALITY })
.toBuffer({ resolveWithObject: true });
return { data, width: info.width, height: info.height };
}

46
src/triggers/onRewardImageUploaded.ts Normal file
View File

@ -0,0 +1,46 @@
import { onObjectFinalized } from "firebase-functions/storage";
import { logger } from "firebase-functions";
import { getStorage } from "firebase-admin/storage";
import "../firebase";
import { OPTIMIZED_FLAG, optimizeRewardImage, targetForPath } from "../services/imageOptimizeService";
/**
* reward-products/ 아래에 업로드된 이미지를 리사이즈 + WebP로 변환해 같은 경로에 덮어쓴다.
* 커스텀 메타데이터(다운로드 토큰 포함)를 보존하므로 기존 URL은 그대로 유효하다.
* 버킷(US-CENTRAL1)과 같은 리전이어야 Eventarc 트리거가 생성된다.
*/
export const onRewardImageUploaded = onObjectFinalized(
{
bucket: "mmday-panit.firebasestorage.app",
region: "us-central1",
memory: "1GiB",
timeoutSeconds: 300,
},
async (event) => {
const object = event.data;
const target = targetForPath(object.name);
if (!target) return;
if (!object.contentType?.startsWith("image/")) return;
if (object.metadata?.[OPTIMIZED_FLAG] === "true") return;
const file = getStorage().bucket(object.bucket).file(object.name);
const [input] = await file.download();
const output = await optimizeRewardImage(input, target);
if (output.data.length >= input.length) {
// 이미 충분히 작은 파일은 재업로드 없이 플래그만 남긴다(메타데이터 변경은 finalize를 다시 발생시키지 않음).
await file.setMetadata({ metadata: { [OPTIMIZED_FLAG]: "true" } });
logger.info(`[rewardImage] skip (already small) ${object.name} ${input.length}B`);
return;
}
await file.save(output.data, {
contentType: "image/webp",
metadata: { metadata: { ...object.metadata, [OPTIMIZED_FLAG]: "true" } },
});
logger.info(
`[rewardImage] optimized ${object.name} ` +
`${input.length}B -> ${output.data.length}B (${output.width}x${output.height})`,
);
},
);