mirror of
https://github.com/snapotter-hq/SnapOtter.git
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Update erase-object pipeline, eraser canvas, and inpainting Python script. Add LaMa model download script and update Dockerfile for model support. Update multi-file tool routes for consistency.
144 lines
4.5 KiB
TypeScript
144 lines
4.5 KiB
TypeScript
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 type { FastifyInstance } 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 { sanitizeFilename } from "../../lib/filename.js";
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import { ensureSharpCompat } from "../../lib/heic-converter.js";
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import { createWorkspace } from "../../lib/workspace.js";
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const settingsSchema = z.object({
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x: z.number().min(0).default(0),
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y: z.number().min(0).default(0),
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opacity: z.number().min(0).max(100).default(100),
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blendMode: z
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.enum([
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"over",
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"multiply",
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"screen",
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"overlay",
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"darken",
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"lighten",
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"hard-light",
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"soft-light",
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"difference",
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"exclusion",
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])
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.default("over"),
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});
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export function registerCompose(app: FastifyInstance) {
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app.post("/api/v1/tools/compose", async (request, reply) => {
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let baseBuffer: Buffer | null = null;
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let overlayBuffer: Buffer | null = null;
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let filename = "image";
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let settingsRaw: 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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const buf = Buffer.concat(chunks);
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if (part.fieldname === "overlay") {
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overlayBuffer = buf;
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} else {
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baseBuffer = buf;
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filename = sanitizeFilename(part.filename ?? "image");
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}
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} else if (part.fieldname === "settings") {
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settingsRaw = part.value as string;
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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 (!baseBuffer || baseBuffer.length === 0) {
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return reply.status(400).send({ error: "No base image provided" });
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}
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if (!overlayBuffer || overlayBuffer.length === 0) {
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return reply.status(400).send({ error: "No overlay image provided" });
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}
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let settings: z.infer<typeof settingsSchema>;
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try {
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const parsed = settingsRaw ? JSON.parse(settingsRaw) : {};
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const result = settingsSchema.safeParse(parsed);
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if (!result.success) {
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return reply.status(400).send({ error: "Invalid settings", details: 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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try {
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// Decode HEIC/HEIF if needed, then normalize EXIF orientation
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baseBuffer = await autoOrient(await ensureSharpCompat(baseBuffer));
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overlayBuffer = await autoOrient(await ensureSharpCompat(overlayBuffer));
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// Apply opacity to overlay if needed
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let processedOverlay = overlayBuffer;
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if (settings.opacity < 100) {
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const overlayImg = sharp(overlayBuffer).ensureAlpha();
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const overlayBuf = await overlayImg.toBuffer();
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const overlayMeta = await sharp(overlayBuf).metadata();
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const oW = overlayMeta.width ?? 100;
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const oH = overlayMeta.height ?? 100;
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const opacityMask = await sharp({
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create: {
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width: oW,
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height: oH,
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channels: 4,
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background: { r: 0, g: 0, b: 0, alpha: settings.opacity / 100 },
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},
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})
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.png()
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.toBuffer();
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processedOverlay = await sharp(overlayBuf)
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.composite([{ input: opacityMask, blend: "dest-in" }])
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.toBuffer();
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}
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const result = await sharp(baseBuffer)
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.composite([
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{
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input: processedOverlay,
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top: settings.y,
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left: settings.x,
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blend: settings.blendMode as import("sharp").Blend,
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},
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])
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.toBuffer();
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const jobId = randomUUID();
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const workspacePath = await createWorkspace(jobId);
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const outputPath = join(workspacePath, "output", filename);
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await writeFile(outputPath, result);
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return reply.send({
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jobId,
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downloadUrl: `/api/v1/download/${jobId}/${encodeURIComponent(filename)}`,
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originalSize: baseBuffer.length,
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processedSize: result.length,
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});
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} catch (err) {
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return reply.status(422).send({
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error: "Processing failed",
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details: err instanceof Error ? err.message : "Image processing failed",
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});
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}
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});
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}
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