mirror of
https://github.com/snapotter-hq/SnapOtter.git
synced 2026-08-03 07:46:42 +02:00
refactor: remove content-aware-crop tool
Remove the content-aware-crop tool entirely -- API route, frontend settings component, e2e and integration tests, and all registry entries.
This commit is contained in:
SnapOtter
@@ -1,349 +0,0 @@
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import { randomUUID } from "node:crypto";
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import { writeFile } from "node:fs/promises";
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import { join } from "node:path";
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import { outpaint } from "@snapotter/ai";
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import { getBundleForTool, TOOL_BUNDLE_MAP } from "@snapotter/shared";
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import type { FastifyInstance, FastifyReply, FastifyRequest } from "fastify";
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import sharp from "sharp";
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import { z } from "zod";
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import { autoOrient } from "../../lib/auto-orient.js";
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import { formatZodErrors } from "../../lib/errors.js";
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import { isToolInstalled } from "../../lib/feature-status.js";
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import { validateImageBuffer } from "../../lib/file-validation.js";
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import { sanitizeFilename } from "../../lib/filename.js";
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import { decodeToSharpCompat, needsCliDecode } from "../../lib/format-decoders.js";
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import { encodeJxl } from "../../lib/format-encoders.js";
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import { decodeHeic, encodeHeic } from "../../lib/heic-converter.js";
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import { resolveOutputFormat } from "../../lib/output-format.js";
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import { createWorkspace } from "../../lib/workspace.js";
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import { updateSingleFileProgress } from "../progress.js";
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import { registerToolProcessFn } from "../tool-factory.js";
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const EXT_MAP: Record<string, string> = {
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jpeg: "jpg",
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jpg: "jpg",
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png: "png",
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webp: "webp",
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tiff: "tiff",
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gif: "gif",
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avif: "avif",
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heic: "heic",
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heif: "heif",
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jxl: "jxl",
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};
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const BROWSER_PREVIEWABLE = new Set(["png", "jpg", "jpeg", "webp", "gif", "avif", "bmp"]);
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const settingsSchema = z.object({
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extendTop: z.number().int().min(0).default(0),
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extendRight: z.number().int().min(0).default(0),
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extendBottom: z.number().int().min(0).default(0),
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extendLeft: z.number().int().min(0).default(0),
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format: z
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.enum(["auto", "png", "jpg", "jpeg", "webp", "tiff", "gif", "avif", "heic", "heif", "jxl"])
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.default("auto"),
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quality: z.number().int().min(1).max(100).default(95),
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});
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type Settings = z.infer<typeof settingsSchema>;
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/**
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* Content-aware crop (outpainting) route.
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* Extends image borders using AI-powered outpainting via LaMa.
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*/
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export function registerContentAwareCrop(app: FastifyInstance) {
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app.post(
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"/api/v1/tools/content-aware-crop",
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async (request: FastifyRequest, reply: FastifyReply) => {
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const toolId = "content-aware-crop";
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if (!isToolInstalled(toolId)) {
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const bundle = getBundleForTool(toolId);
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return reply.status(501).send({
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error: "Feature not installed",
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code: "FEATURE_NOT_INSTALLED",
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feature: TOOL_BUNDLE_MAP[toolId],
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featureName: bundle?.name ?? toolId,
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estimatedSize: bundle?.estimatedSize ?? "unknown",
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});
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}
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let fileBuffer: Buffer | null = null;
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let filename = "image";
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let settingsRaw: string | null = null;
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let clientJobId: string | null = null;
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try {
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const parts = request.parts();
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for await (const part of parts) {
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if (part.type === "file") {
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const chunks: Buffer[] = [];
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for await (const chunk of part.file) {
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chunks.push(chunk);
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}
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fileBuffer = Buffer.concat(chunks);
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filename = sanitizeFilename(part.filename ?? "image");
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} else if (part.fieldname === "settings") {
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settingsRaw = part.value as string;
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} else if (part.fieldname === "clientJobId") {
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const raw = part.value as string;
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if (/^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$/i.test(raw)) {
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clientJobId = raw;
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}
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}
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}
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} catch (err) {
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return reply.status(400).send({
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error: "Failed to parse multipart request",
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details: err instanceof Error ? err.message : String(err),
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});
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}
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if (!fileBuffer || fileBuffer.length === 0) {
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return reply.status(400).send({ error: "No image file provided" });
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}
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const validation = await validateImageBuffer(fileBuffer, filename);
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if (!validation.valid) {
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return reply.status(400).send({ error: `Invalid image: ${validation.reason}` });
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}
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// Validate settings
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let settings: Settings;
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try {
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const raw = settingsRaw ? JSON.parse(settingsRaw) : {};
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const result = settingsSchema.safeParse(raw);
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if (!result.success) {
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return reply
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.status(400)
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.send({ error: "Invalid settings", details: formatZodErrors(result.error.issues) });
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}
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settings = result.data;
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} catch {
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return reply.status(400).send({ error: "Settings must be valid JSON" });
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}
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// At least one extend direction must be > 0
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if (
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settings.extendTop === 0 &&
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settings.extendRight === 0 &&
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settings.extendBottom === 0 &&
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settings.extendLeft === 0
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) {
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return reply.status(400).send({
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error: "At least one extend direction must be greater than 0",
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});
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}
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let format: string = settings.format;
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let quality = settings.quality;
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if (format === "auto") {
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const detected = await resolveOutputFormat(fileBuffer, filename);
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format = detected.format === "jpeg" ? "jpg" : detected.format;
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quality = detected.quality;
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}
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try {
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// Decode HEIC/HEIF input
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if (validation.format === "heif") {
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fileBuffer = await decodeHeic(fileBuffer);
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}
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// Decode CLI-decoded formats (RAW, TGA, PSD, EXR, HDR)
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if (needsCliDecode(validation.format)) {
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fileBuffer = await decodeToSharpCompat(fileBuffer, validation.format);
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}
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// Auto-orient to fix EXIF rotation
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fileBuffer = await autoOrient(fileBuffer);
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} catch (err) {
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request.log.error({ err, toolId: "content-aware-crop" }, "Input decoding failed");
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return reply.status(422).send({
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error: "Content-aware crop failed",
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details: err instanceof Error ? err.message : "Unknown error",
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});
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}
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const originalSize = fileBuffer.length;
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const jobId = randomUUID();
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const progressJobId = clientJobId || jobId;
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let workspacePath: string;
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try {
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workspacePath = await createWorkspace(jobId);
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const inputPath = join(workspacePath, "input", filename);
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await writeFile(inputPath, fileBuffer);
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} catch (err) {
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request.log.error({ err, toolId: "content-aware-crop" }, "Workspace creation failed");
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return reply.status(422).send({
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error: "Content-aware crop failed",
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details: err instanceof Error ? err.message : "Unknown error",
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});
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}
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const log = request.log;
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log.info(
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{
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toolId: "content-aware-crop",
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imageSize: originalSize,
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extendTop: settings.extendTop,
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extendRight: settings.extendRight,
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extendBottom: settings.extendBottom,
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extendLeft: settings.extendLeft,
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format,
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},
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"Starting content-aware crop",
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);
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// Reply immediately so the HTTP connection closes within proxy timeout limits.
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// The result will be delivered via the SSE progress channel.
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reply.status(202).send({ jobId: progressJobId, async: true });
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const onProgress = (percent: number, stage: string) => {
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updateSingleFileProgress({
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jobId: progressJobId,
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phase: "processing",
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stage,
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percent,
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});
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};
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// Fire-and-forget: processing happens after the response is sent
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(async () => {
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const resultBuffer = await outpaint(
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fileBuffer,
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{
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extendTop: settings.extendTop,
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extendRight: settings.extendRight,
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extendBottom: settings.extendBottom,
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extendLeft: settings.extendLeft,
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},
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join(workspacePath, "output"),
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onProgress,
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);
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// Convert to the requested output format using Sharp
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const needsNodeConversion = ["heic", "heif", "avif", "jxl"].includes(format);
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let outputBuffer: Buffer;
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let finalFormat = format;
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if (needsNodeConversion) {
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if (format === "heic" || format === "heif") {
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outputBuffer = await encodeHeic(resultBuffer, quality);
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finalFormat = format;
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} else if (format === "jxl") {
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outputBuffer = await encodeJxl(resultBuffer, quality);
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finalFormat = "jxl";
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} else {
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outputBuffer = await sharp(resultBuffer).avif({ quality }).toBuffer();
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finalFormat = "avif";
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}
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} else if (format === "jpg" || format === "jpeg") {
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outputBuffer = await sharp(resultBuffer).jpeg({ quality }).toBuffer();
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finalFormat = "jpg";
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} else if (format === "webp") {
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outputBuffer = await sharp(resultBuffer).webp({ quality }).toBuffer();
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finalFormat = "webp";
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} else if (format === "tiff") {
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outputBuffer = await sharp(resultBuffer).tiff({ quality }).toBuffer();
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finalFormat = "tiff";
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} else if (format === "gif") {
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outputBuffer = await sharp(resultBuffer).gif().toBuffer();
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finalFormat = "gif";
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} else {
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outputBuffer = resultBuffer;
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finalFormat = "png";
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}
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// Save output
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const ext = EXT_MAP[finalFormat] || "png";
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const outputFilename = `${filename.replace(/\.[^.]+$/, "")}_extended.${ext}`;
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const outputPath = join(workspacePath, "output", outputFilename);
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await writeFile(outputPath, outputBuffer);
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// Generate browser-compatible preview for non-previewable formats
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let previewUrl: string | undefined;
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if (!BROWSER_PREVIEWABLE.has(finalFormat)) {
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try {
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const previewInput =
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finalFormat === "heic" || finalFormat === "heif"
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? await decodeHeic(outputBuffer)
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: outputBuffer;
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const previewBuffer = await sharp(previewInput).webp({ quality: 80 }).toBuffer();
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const previewPath = join(workspacePath, "output", "preview.webp");
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await writeFile(previewPath, previewBuffer);
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previewUrl = `/api/v1/download/${jobId}/preview.webp`;
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} catch {
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// Non-fatal - frontend will show fallback
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}
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}
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const downloadUrl = `/api/v1/download/${jobId}/${encodeURIComponent(outputFilename)}`;
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updateSingleFileProgress({
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jobId: progressJobId,
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phase: "complete",
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percent: 100,
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result: {
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jobId,
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downloadUrl,
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previewUrl,
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originalSize,
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processedSize: outputBuffer.length,
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},
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});
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log.info(
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{ toolId: "content-aware-crop", jobId, downloadUrl },
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"Content-aware crop complete",
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);
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})().catch((err) => {
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log.error({ err, toolId: "content-aware-crop" }, "Content-aware crop failed");
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updateSingleFileProgress({
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jobId: progressJobId,
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phase: "failed",
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percent: 0,
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error: err instanceof Error ? err.message : "Content-aware crop failed",
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});
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});
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},
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);
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// Register in the pipeline/batch registry so this tool can be used
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// as a step in automation pipelines (without progress callbacks).
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registerToolProcessFn({
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toolId: "content-aware-crop",
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settingsSchema,
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process: async (inputBuffer, settings, filename) => {
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const s = settings as Settings;
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// Decode HEIC/HEIF for pipeline/batch mode
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const ext = filename.split(".").pop()?.toLowerCase() ?? "";
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let buf = inputBuffer;
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if (["heic", "heif", "hif"].includes(ext)) {
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buf = await decodeHeic(buf);
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}
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// Decode CLI-decoded formats for pipeline/batch mode
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const cliCheck = await validateImageBuffer(inputBuffer, filename);
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if (cliCheck.valid && needsCliDecode(cliCheck.format)) {
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buf = await decodeToSharpCompat(inputBuffer, cliCheck.format);
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}
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const orientedBuffer = await autoOrient(buf);
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const jobId = randomUUID();
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const workspacePath = await createWorkspace(jobId);
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const resultBuffer = await outpaint(
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orientedBuffer,
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{
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extendTop: s.extendTop,
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extendRight: s.extendRight,
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extendBottom: s.extendBottom,
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extendLeft: s.extendLeft,
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},
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join(workspacePath, "output"),
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);
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const outputFilename = `${filename.replace(/\.[^.]+$/, "")}_extended.png`;
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return { buffer: resultBuffer, filename: outputFilename, contentType: "image/png" };
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},
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});
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}
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@@ -2,6 +2,7 @@ import { TOOLS } from "@snapotter/shared";
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import { eq } from "drizzle-orm";
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import type { FastifyInstance } from "fastify";
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import { db, schema } from "../../db/index.js";
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import { registerAiCanvasExpand } from "./ai-canvas-expand.js";
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import { registerBarcodeRead } from "./barcode-read.js";
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import { registerBeautify } from "./beautify.js";
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import { registerBlurFaces } from "./blur-faces.js";
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@@ -15,7 +16,6 @@ import { registerColorize } from "./colorize.js";
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import { registerCompare } from "./compare.js";
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import { registerCompose } from "./compose.js";
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import { registerCompress } from "./compress.js";
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import { registerContentAwareCrop } from "./content-aware-crop.js";
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import { registerContentAwareResize } from "./content-aware-resize.js";
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import { registerConvert } from "./convert.js";
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import { registerCrop } from "./crop.js";
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@@ -148,7 +148,7 @@ export async function registerToolRoutes(app: FastifyInstance): Promise<void> {
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{ id: "smart-crop", register: registerSmartCrop },
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{ id: "image-enhancement", register: registerImageEnhancement },
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{ id: "content-aware-resize", register: registerContentAwareResize },
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{ id: "content-aware-crop", register: registerContentAwareCrop },
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{ id: "ai-canvas-expand", register: registerAiCanvasExpand },
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{ id: "colorize", register: registerColorize },
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{ id: "enhance-faces", register: registerEnhanceFaces },
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{ id: "noise-removal", register: registerNoiseRemoval },
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@@ -12,11 +12,10 @@ export function ImageEditIcon(props: SVGProps<SVGSVGElement>) {
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strokeLinejoin="round"
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{...props}
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>
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<path d="M12 20H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2v7" />
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<circle cx="9" cy="9" r="2" />
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<path d="m3 16 4-4 3 3 4-4" />
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<path d="M17 22l-2.5-2.5L20 14l2.5 2.5z" />
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<path d="m22 16.5-2.5-2.5" />
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<rect x="3" y="3" width="18" height="18" rx="2" />
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<path d="M7 17C7 12 12 7 17 7" />
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<circle cx="7" cy="17" r="1.5" />
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<circle cx="17" cy="7" r="1.5" />
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</svg>
|
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);
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}
|
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@@ -1,209 +0,0 @@
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import { Download } from "lucide-react";
|
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import { useCallback, useEffect, useState } from "react";
|
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import { ProgressCard } from "@/components/common/progress-card";
|
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import { useToolProcessor } from "@/hooks/use-tool-processor";
|
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import { useFileStore } from "@/stores/file-store";
|
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|
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const EXTEND_PRESETS = [
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{ label: "16:9", aspect: 16 / 9 },
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{ label: "1:1", aspect: 1 },
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{ label: "4:3", aspect: 4 / 3 },
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{ label: "3:2", aspect: 3 / 2 },
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{ label: "9:16", aspect: 9 / 16 },
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{ label: "4:5", aspect: 4 / 5 },
|
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];
|
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export function ContentAwareCropSettings() {
|
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const { files } = useFileStore();
|
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const { processFiles, processAllFiles, processing, error, downloadUrl, progress } =
|
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useToolProcessor("content-aware-crop");
|
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|
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const [extendTop, setExtendTop] = useState(0);
|
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const [extendRight, setExtendRight] = useState(0);
|
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const [extendBottom, setExtendBottom] = useState(0);
|
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const [extendLeft, setExtendLeft] = useState(0);
|
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const [imgDimensions, setImgDimensions] = useState<{ width: number; height: number } | null>(
|
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null,
|
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);
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|
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const firstFile = files[0];
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useEffect(() => {
|
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if (!firstFile) {
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setImgDimensions(null);
|
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return;
|
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}
|
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const url = URL.createObjectURL(firstFile);
|
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const img = new Image();
|
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img.onload = () => setImgDimensions({ width: img.naturalWidth, height: img.naturalHeight });
|
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img.src = url;
|
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return () => URL.revokeObjectURL(url);
|
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}, [firstFile]);
|
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|
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const handleExtendPreset = useCallback(
|
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(targetAspect: number) => {
|
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if (!imgDimensions) return;
|
||||
const { width: w, height: h } = imgDimensions;
|
||||
const currentAspect = w / h;
|
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let top = 0;
|
||||
let right = 0;
|
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let bottom = 0;
|
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let left = 0;
|
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if (targetAspect > currentAspect) {
|
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const newWidth = Math.round(h * targetAspect);
|
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const extra = newWidth - w;
|
||||
left = Math.round(extra / 2);
|
||||
right = extra - left;
|
||||
} else {
|
||||
const newHeight = Math.round(w / targetAspect);
|
||||
const extra = newHeight - h;
|
||||
top = Math.round(extra / 2);
|
||||
bottom = extra - top;
|
||||
}
|
||||
setExtendTop(top);
|
||||
setExtendRight(right);
|
||||
setExtendBottom(bottom);
|
||||
setExtendLeft(left);
|
||||
},
|
||||
[imgDimensions],
|
||||
);
|
||||
|
||||
const hasFile = files.length > 0;
|
||||
const hasExtension = extendTop > 0 || extendRight > 0 || extendBottom > 0 || extendLeft > 0;
|
||||
|
||||
const handleProcess = () => {
|
||||
const settings = { extendTop, extendRight, extendBottom, extendLeft };
|
||||
if (files.length > 1) {
|
||||
processAllFiles(files, settings);
|
||||
} else {
|
||||
processFiles(files, settings);
|
||||
}
|
||||
};
|
||||
|
||||
const handleSubmit = (e: React.FormEvent) => {
|
||||
e.preventDefault();
|
||||
if (hasFile && hasExtension && !processing) handleProcess();
|
||||
};
|
||||
|
||||
return (
|
||||
<form onSubmit={handleSubmit} className="space-y-4">
|
||||
{/* Aspect ratio presets */}
|
||||
<div>
|
||||
<p className="text-xs text-muted-foreground mb-1">Extend to aspect ratio</p>
|
||||
<div className="flex flex-wrap gap-1">
|
||||
{EXTEND_PRESETS.map(({ label, aspect }) => (
|
||||
<button
|
||||
key={label}
|
||||
type="button"
|
||||
onClick={() => handleExtendPreset(aspect)}
|
||||
className="px-2 py-1.5 rounded text-xs bg-muted text-muted-foreground hover:bg-primary/20 hover:text-foreground transition-colors"
|
||||
>
|
||||
{label}
|
||||
</button>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Per-side extension */}
|
||||
<div>
|
||||
<p className="text-xs text-muted-foreground mb-1">Extend by (pixels)</p>
|
||||
<div className="grid grid-cols-2 gap-2">
|
||||
<div>
|
||||
<label htmlFor="cac-top" className="text-[10px] text-muted-foreground">
|
||||
Top
|
||||
</label>
|
||||
<input
|
||||
id="cac-top"
|
||||
type="number"
|
||||
value={extendTop}
|
||||
onChange={(e) => setExtendTop(Math.max(0, Number(e.target.value)))}
|
||||
min={0}
|
||||
className="w-full mt-0.5 px-2 py-1.5 rounded border border-border bg-background text-sm text-foreground tabular-nums"
|
||||
/>
|
||||
</div>
|
||||
<div>
|
||||
<label htmlFor="cac-right" className="text-[10px] text-muted-foreground">
|
||||
Right
|
||||
</label>
|
||||
<input
|
||||
id="cac-right"
|
||||
type="number"
|
||||
value={extendRight}
|
||||
onChange={(e) => setExtendRight(Math.max(0, Number(e.target.value)))}
|
||||
min={0}
|
||||
className="w-full mt-0.5 px-2 py-1.5 rounded border border-border bg-background text-sm text-foreground tabular-nums"
|
||||
/>
|
||||
</div>
|
||||
<div>
|
||||
<label htmlFor="cac-bottom" className="text-[10px] text-muted-foreground">
|
||||
Bottom
|
||||
</label>
|
||||
<input
|
||||
id="cac-bottom"
|
||||
type="number"
|
||||
value={extendBottom}
|
||||
onChange={(e) => setExtendBottom(Math.max(0, Number(e.target.value)))}
|
||||
min={0}
|
||||
className="w-full mt-0.5 px-2 py-1.5 rounded border border-border bg-background text-sm text-foreground tabular-nums"
|
||||
/>
|
||||
</div>
|
||||
<div>
|
||||
<label htmlFor="cac-left" className="text-[10px] text-muted-foreground">
|
||||
Left
|
||||
</label>
|
||||
<input
|
||||
id="cac-left"
|
||||
type="number"
|
||||
value={extendLeft}
|
||||
onChange={(e) => setExtendLeft(Math.max(0, Number(e.target.value)))}
|
||||
min={0}
|
||||
className="w-full mt-0.5 px-2 py-1.5 rounded border border-border bg-background text-sm text-foreground tabular-nums"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Output size display */}
|
||||
{imgDimensions &&
|
||||
(extendTop > 0 || extendRight > 0 || extendBottom > 0 || extendLeft > 0) && (
|
||||
<p className="text-xs text-muted-foreground">
|
||||
New size: {imgDimensions.width + extendLeft + extendRight} x{" "}
|
||||
{imgDimensions.height + extendTop + extendBottom}
|
||||
</p>
|
||||
)}
|
||||
|
||||
{error && <p className="text-xs text-red-500">{error}</p>}
|
||||
|
||||
{processing ? (
|
||||
<ProgressCard
|
||||
active={processing}
|
||||
phase={progress.phase === "idle" ? "uploading" : progress.phase}
|
||||
label="Extending canvas"
|
||||
stage={progress.stage}
|
||||
percent={progress.percent}
|
||||
elapsed={progress.elapsed}
|
||||
/>
|
||||
) : (
|
||||
<button
|
||||
type="submit"
|
||||
data-testid="content-aware-crop-submit"
|
||||
disabled={!hasFile || !hasExtension || processing}
|
||||
className="w-full py-2.5 rounded-lg bg-primary text-primary-foreground font-medium disabled:opacity-50 disabled:cursor-not-allowed flex items-center justify-center gap-2"
|
||||
>
|
||||
{files.length > 1 ? `Extend (${files.length} files)` : "Extend Canvas"}
|
||||
</button>
|
||||
)}
|
||||
|
||||
{downloadUrl && (
|
||||
<a
|
||||
href={downloadUrl}
|
||||
download
|
||||
data-testid="content-aware-crop-download"
|
||||
className="w-full py-2.5 rounded-lg border border-primary text-primary font-medium flex items-center justify-center gap-2 hover:bg-primary/5"
|
||||
>
|
||||
<Download className="h-4 w-4" />
|
||||
Download
|
||||
</a>
|
||||
)}
|
||||
</form>
|
||||
);
|
||||
}
|
||||
@@ -81,9 +81,9 @@ const ContentAwareResizeSettings = lazy(() =>
|
||||
default: m.ContentAwareResizeSettings,
|
||||
})),
|
||||
);
|
||||
const ContentAwareCropSettings = lazy(() =>
|
||||
import("@/components/tools/content-aware-crop-settings").then((m) => ({
|
||||
default: m.ContentAwareCropSettings,
|
||||
const AiCanvasExpandSettings = lazy(() =>
|
||||
import("@/components/tools/ai-canvas-expand-settings").then((m) => ({
|
||||
default: m.AiCanvasExpandSettings,
|
||||
})),
|
||||
);
|
||||
const CropSettings = lazy(() =>
|
||||
@@ -506,7 +506,7 @@ export const toolRegistry = new Map<string, ToolRegistryEntry>([
|
||||
["restore-photo", { displayMode: "before-after", Settings: RestorePhotoSettings }],
|
||||
["transparency-fixer", { displayMode: "before-after", Settings: TransparencyFixerSettings }],
|
||||
["content-aware-resize", { displayMode: "side-by-side", Settings: ContentAwareResizeSettings }],
|
||||
["content-aware-crop", { displayMode: "before-after", Settings: ContentAwareCropSettings }],
|
||||
["ai-canvas-expand", { displayMode: "before-after", Settings: AiCanvasExpandSettings }],
|
||||
]);
|
||||
|
||||
export function getToolRegistryEntry(toolId: string): ToolRegistryEntry | undefined {
|
||||
|
||||
Reference in New Issue
Block a user