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SnapOtter
dee9452c48
Closes #17, #18, #19, #31, #32, #33, #34 Format preservation (#17, #18, #19): - Add resolveOutputFormat to rotate, resize, text-overlay, watermark-text, border, replace-color, blur-faces, upscale, erase-object, restore-photo - Alpha-aware fallback: border with corner radius/shadow and replace-color with makeTransparent fall back to PNG for non-alpha formats (JPEG) - Python sidecar tools (blur-faces, upscale, erase-object) now convert PNG output back to input format, matching restore-photo/colorize pattern - Upscale and erase-object default to "auto" format detection instead of PNG Dispatcher stability (#31, #32): - Add gc.collect() and torch.cuda.empty_cache() after each dispatcher request - Add configurable max_requests (default 50) for periodic dispatcher restart - Add exponential backoff to dispatcher crash recovery in bridge.ts - Circuit breaker: 5 crashes within 60s permanently disables dispatcher - Reset crash counter on successful dispatcher startup Health & security (#33, #34): - Export getDispatcherStatus() from @snapotter/ai with running/ready/failed/ gpu/pid/consecutiveCrashes fields - Admin health endpoint now includes full dispatcher status - Add pip-audit job to CI workflow for Python dependency scanning
31 lines
1.1 KiB
TypeScript
31 lines
1.1 KiB
TypeScript
import { resize } from "@snapotter/image-engine";
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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 { resolveOutputFormat } from "../../lib/output-format.js";
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import { createToolRoute } from "../tool-factory.js";
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const settingsSchema = z.object({
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width: z.number().positive().optional(),
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height: z.number().positive().optional(),
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fit: z.enum(["contain", "cover", "fill", "inside", "outside"]).default("contain"),
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withoutEnlargement: z.boolean().default(false),
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percentage: z.number().positive().optional(),
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});
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export function registerResize(app: FastifyInstance) {
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createToolRoute(app, {
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toolId: "resize",
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settingsSchema,
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process: async (inputBuffer, settings, filename) => {
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const outputFormat = await resolveOutputFormat(inputBuffer, filename);
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const image = sharp(inputBuffer);
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const result = await resize(image, settings);
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const buffer = await result
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.toFormat(outputFormat.format, { quality: outputFormat.quality })
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.toBuffer();
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return { buffer, filename, contentType: outputFormat.contentType };
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},
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});
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}
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