Add reward image optimization pipeline
- 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
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|
"optional": true,
|
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|
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|
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|
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|
"node_modules/@img/sharp-win32-x64": {
|
||||||
|
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|
||||||
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"resolved": "https://registry.npmjs.org/@img/sharp-win32-x64/-/sharp-win32-x64-0.35.3.tgz",
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"x64"
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"license": "Apache-2.0 AND LGPL-3.0-or-later",
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"optional": true,
|
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"os": [
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"win32"
|
||||||
|
],
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"engines": {
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|
"funding": {
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@ -4527,7 +5086,6 @@
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@ -9980,9 +10538,9 @@
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||||||
|
"@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": {
|
"node_modules/shebang-command": {
|
||||||
"version": "2.0.0",
|
"version": "2.0.0",
|
||||||
"resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz",
|
"resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz",
|
||||||
|
|||||||
@ -13,7 +13,8 @@
|
|||||||
"test:watch": "vitest",
|
"test:watch": "vitest",
|
||||||
"tools:sheet": "npx tsx scripts/chat-tools-sheet.ts",
|
"tools:sheet": "npx tsx scripts/chat-tools-sheet.ts",
|
||||||
"seed:rewards": "npx tsx scripts/seed-reward-products.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": {
|
"engines": {
|
||||||
"node": "24"
|
"node": "24"
|
||||||
@ -23,7 +24,8 @@
|
|||||||
"@anthropic-ai/sdk": "^0.104.1",
|
"@anthropic-ai/sdk": "^0.104.1",
|
||||||
"@google/genai": "^2.8.0",
|
"@google/genai": "^2.8.0",
|
||||||
"firebase-admin": "^13.6.0",
|
"firebase-admin": "^13.6.0",
|
||||||
"firebase-functions": "^7.0.0"
|
"firebase-functions": "^7.0.0",
|
||||||
|
"sharp": "^0.35.3"
|
||||||
},
|
},
|
||||||
"devDependencies": {
|
"devDependencies": {
|
||||||
"@typescript-eslint/eslint-plugin": "^5.12.0",
|
"@typescript-eslint/eslint-plugin": "^5.12.0",
|
||||||
|
|||||||
115
scripts/optimize-reward-product-images.ts
Normal file
115
scripts/optimize-reward-product-images.ts
Normal 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); });
|
||||||
@ -16,3 +16,4 @@ export { kboDailyRefresh } from "./scheduled/kboRefresh";
|
|||||||
export { dailyArchive } from "./scheduled/dailyArchive";
|
export { dailyArchive } from "./scheduled/dailyArchive";
|
||||||
export { accountPurge } from "./scheduled/accountPurge";
|
export { accountPurge } from "./scheduled/accountPurge";
|
||||||
export { onGameCompleted } from "./triggers/onGameCompleted";
|
export { onGameCompleted } from "./triggers/onGameCompleted";
|
||||||
|
export { onRewardImageUploaded } from "./triggers/onRewardImageUploaded";
|
||||||
|
|||||||
33
src/services/imageOptimizeService.ts
Normal file
33
src/services/imageOptimizeService.ts
Normal 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
46
src/triggers/onRewardImageUploaded.ts
Normal 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})`,
|
||||||
|
);
|
||||||
|
},
|
||||||
|
);
|
||||||
Loading…
x
Reference in New Issue
Block a user