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https://github.com/snapotter-hq/SnapOtter.git
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Add 6 tools for format conversion and optimization extras: - svg-to-raster: SVG to PNG/JPG/WebP at custom resolution - vectorize: raster to SVG via potrace (B&W and color modes) - gif-tools: animated GIF resize, frame extraction, optimization - bulk-rename: pattern-based file renaming with ZIP output - favicon: generate all favicon/app icon sizes with manifest.json - image-to-pdf: combine images into PDF using pdfkit
133 lines
4.2 KiB
TypeScript
133 lines
4.2 KiB
TypeScript
import { z } from "zod";
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import sharp from "sharp";
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import potrace from "potrace";
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import type { FastifyInstance } from "fastify";
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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, basename } from "node:path";
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import { createWorkspace } from "../../lib/workspace.js";
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const settingsSchema = z.object({
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colorMode: z.enum(["bw", "color"]).default("bw"),
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threshold: z.number().min(0).max(255).default(128),
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detail: z.enum(["low", "medium", "high"]).default("medium"),
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});
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function traceImage(
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buffer: Buffer,
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options: { threshold: number; turdSize: number; color?: string },
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): Promise<string> {
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return new Promise((resolve, reject) => {
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potrace.trace(buffer, options, (err: Error | null, svg: string) => {
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if (err) reject(err);
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else resolve(svg);
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});
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});
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}
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function posterize(
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buffer: Buffer,
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options: { steps: number; threshold: number },
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): Promise<string> {
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return new Promise((resolve, reject) => {
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potrace.posterize(buffer, options, (err: Error | null, svg: string) => {
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if (err) reject(err);
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else resolve(svg);
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});
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});
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}
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export function registerVectorize(app: FastifyInstance) {
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app.post(
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"/api/v1/tools/vectorize",
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async (request, reply) => {
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let fileBuffer: Buffer | null = null;
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let filename = "output";
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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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fileBuffer = Buffer.concat(chunks);
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filename = basename(part.filename ?? "output").replace(/\.[^.]+$/, "");
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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 (!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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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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// Convert to BMP-compatible format for potrace (PNG)
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const pngBuffer = await sharp(fileBuffer)
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.grayscale()
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.png()
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.toBuffer();
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const turdSize = settings.detail === "low" ? 10 : settings.detail === "high" ? 1 : 4;
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let svg: string;
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if (settings.colorMode === "color") {
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// Color mode: posterize
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svg = await posterize(pngBuffer, {
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steps: settings.detail === "low" ? 3 : settings.detail === "high" ? 8 : 5,
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threshold: settings.threshold,
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});
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} else {
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// B&W mode: simple trace
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svg = await traceImage(pngBuffer, {
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threshold: settings.threshold,
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turdSize,
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});
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}
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const svgBuffer = Buffer.from(svg, "utf-8");
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const outFilename = `${filename}.svg`;
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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", outFilename);
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await writeFile(outputPath, svgBuffer);
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return reply.send({
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jobId,
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downloadUrl: `/api/v1/download/${jobId}/${encodeURIComponent(outFilename)}`,
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originalSize: fileBuffer.length,
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processedSize: svgBuffer.length,
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svgPreview: svg.length < 50000 ? svg : undefined,
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});
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} catch (err) {
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return reply.status(422).send({
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error: "Vectorization 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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},
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);
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}
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