Files
SnapOtter/apps/api/src/routes/tools/rotate.ts
T
SnapOtter dee9452c48 fix: format preservation, dispatcher stability, and health reporting
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
2026-04-26 03:22:26 +08:00

42 lines
1.3 KiB
TypeScript

import { flip, rotate } from "@snapotter/image-engine";
import type { FastifyInstance } from "fastify";
import sharp from "sharp";
import { z } from "zod";
import { resolveOutputFormat } from "../../lib/output-format.js";
import { createToolRoute } from "../tool-factory.js";
const settingsSchema = z.object({
angle: z.number().default(0),
horizontal: z.boolean().default(false),
vertical: z.boolean().default(false),
});
export function registerRotate(app: FastifyInstance) {
createToolRoute(app, {
toolId: "rotate",
settingsSchema,
process: async (inputBuffer, settings, filename) => {
const outputFormat = await resolveOutputFormat(inputBuffer, filename);
let image = sharp(inputBuffer);
// Apply rotation first
if (settings.angle !== 0) {
image = await rotate(image, { angle: settings.angle });
}
// Then apply flip/flop
if (settings.horizontal || settings.vertical) {
image = await flip(image, {
horizontal: settings.horizontal,
vertical: settings.vertical,
});
}
const buffer = await image
.toFormat(outputFormat.format, { quality: outputFormat.quality })
.toBuffer();
return { buffer, filename, contentType: outputFormat.contentType };
},
});
}