feat(api): POST /api/recipes/extract-from-photo
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155
src/routes/api/recipes/extract-from-photo/+server.ts
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155
src/routes/api/recipes/extract-from-photo/+server.ts
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import type { RequestHandler } from './$types';
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import { json } from '@sveltejs/kit';
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import { extractRecipeFromImage, GeminiError } from '$lib/server/ai/gemini-client';
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import { preprocessImage } from '$lib/server/ai/image-preprocess';
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import { pickRandomPhrase } from '$lib/server/ai/description-phrases';
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import { createRateLimiter } from '$lib/server/ai/rate-limit';
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import type { Ingredient, Step } from '$lib/types';
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const MAX_BYTES = 8 * 1024 * 1024;
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const ALLOWED_MIME = new Set([
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'image/jpeg',
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'image/png',
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'image/webp',
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'image/heic',
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'image/heif'
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]);
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// Singleton-Limiter: 10 Requests/Minute pro IP. Verhindert Kosten-Runaways
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// bei versehentlichem Dauer-Tappen.
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const limiter = createRateLimiter({ windowMs: 60_000, max: 10 });
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function errJson(status: number, code: string, message: string) {
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return json({ code, message }, { status });
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}
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function buildRawText(q: number | null, u: string | null, name: string): string {
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const parts: string[] = [];
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if (q !== null) parts.push(String(q).replace('.', ','));
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if (u) parts.push(u);
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parts.push(name);
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return parts.join(' ');
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}
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export const POST: RequestHandler = async ({ request, getClientAddress }) => {
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const ip = getClientAddress();
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if (!limiter.check(ip)) {
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return errJson(
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429,
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'RATE_LIMITED',
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'Zu viele Anfragen — bitte einen Moment warten.'
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);
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}
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let form: FormData;
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try {
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form = await request.formData();
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} catch {
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return errJson(400, 'BAD_REQUEST', 'Multipart body erwartet.');
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}
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const photo = form.get('photo');
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if (!(photo instanceof Blob)) {
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return errJson(400, 'BAD_REQUEST', 'Feld "photo" fehlt.');
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}
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if (photo.size > MAX_BYTES) {
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return errJson(
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413,
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'PAYLOAD_TOO_LARGE',
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`Foto zu groß (max ${MAX_BYTES / 1024 / 1024} MB).`
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);
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}
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if (!ALLOWED_MIME.has(photo.type)) {
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return errJson(
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415,
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'UNSUPPORTED_MEDIA_TYPE',
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`MIME "${photo.type}" nicht unterstützt.`
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);
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}
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const rawBuffer = Buffer.from(await photo.arrayBuffer());
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let preprocessed: { buffer: Buffer; mimeType: 'image/jpeg' };
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try {
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preprocessed = await preprocessImage(rawBuffer);
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} catch (e) {
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return errJson(
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415,
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'UNSUPPORTED_MEDIA_TYPE',
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`Bild konnte nicht gelesen werden: ${(e as Error).message}`
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);
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}
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const startedAt = Date.now();
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let extracted;
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try {
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extracted = await extractRecipeFromImage(
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preprocessed.buffer,
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preprocessed.mimeType
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);
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} catch (e) {
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if (e instanceof GeminiError) {
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const status =
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e.code === 'AI_RATE_LIMITED'
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? 429
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: e.code === 'AI_TIMEOUT'
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? 503
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: e.code === 'AI_NOT_CONFIGURED'
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? 503
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: 503;
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// Nur Code + Meta loggen, niemals Prompt/Response-Inhalt.
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console.warn(
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`[extract-from-photo] ${e.code} after ${Date.now() - startedAt}ms, ${preprocessed.buffer.byteLength} bytes`
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);
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return errJson(status, e.code, 'Die Bild-Analyse ist fehlgeschlagen.');
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}
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console.warn(`[extract-from-photo] UNEXPECTED ${(e as Error).message}`);
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return errJson(503, 'AI_FAILED', 'Die Bild-Analyse ist fehlgeschlagen.');
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}
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// Minimum-Gültigkeit: Titel + (mind. 1 Zutat ODER mind. 1 Schritt).
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if (
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!extracted.title.trim() ||
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(extracted.ingredients.length === 0 && extracted.steps.length === 0)
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) {
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return errJson(
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422,
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'NO_RECIPE_IN_IMAGE',
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'Ich konnte kein Rezept im Bild erkennen.'
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);
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}
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const ingredients: Ingredient[] = extracted.ingredients.map((i, idx) => ({
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position: idx + 1,
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quantity: i.quantity,
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unit: i.unit,
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name: i.name,
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note: i.note,
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raw_text: buildRawText(i.quantity, i.unit, i.name),
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section_heading: null
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}));
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const steps: Step[] = extracted.steps.map((s, idx) => ({
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position: idx + 1,
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text: s.text
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}));
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return json({
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recipe: {
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id: null,
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title: extracted.title,
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description: pickRandomPhrase(),
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source_url: null,
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source_domain: null,
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image_path: null,
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servings_default: extracted.servings_default,
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servings_unit: extracted.servings_unit,
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prep_time_min: extracted.prep_time_min,
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cook_time_min: extracted.cook_time_min,
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total_time_min: extracted.total_time_min,
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cuisine: null,
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category: null,
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ingredients,
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steps,
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tags: []
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}
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});
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};
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