362f65656b
Full audit (bugs/UI-UX/backend/feature-gap) turned up a money-leak AI quota bypass, webhook SSRF, and a long tail of missing pagination/auth/a11y work. Fixes land together since HANDOFF.md tracked them as one backlog. - AI routes charge tier quota before generating; nutrition POST is author-only - Webhook dispatch re-validates URL per delivery (SSRF/DNS-rebinding), treats redirects as failures; recipe.published now actually dispatches - New indexes/unique constraints on recipes, meal-planning, comments FK cascade - Recipe PUT/restore snapshot only inside the transaction, after validation - Recipe DELETE cleans up S3 objects (recipe + review photos) - Optimistic UI (favorite/star/follow/shopping-list) rolls back on failure - Upload presign enforces file size cap + per-tier storage quota - Route-level loading/error/not-found states across (app), admin, and root - middleware.ts guards (app)/admin; requireAdmin checks DB role, not cached session; rate limiting applied to both session and API-key branches, bucketed per key; Stripe webhook dedupes by event id - Pagination added to recipes, feed, profile, comments, pantry, admin tables - Nav shows real avatar + profile link + dark-mode toggle; destructive actions standardized on AlertDialog - Unsaved-changes guard + real ingredient/step validation on recipe form; canonical /recipes/[id] used in-app; next/image migration; aria-labels and alt text across icon buttons, avatars, recipe photos - packages/api-types removed (zero callers, too drifted to safely rewire); openapi.ts and ai-keys error shape drift fixed; BYOK decrypt failures now surface instead of silently falling back to the platform key Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
71 lines
2.5 KiB
TypeScript
71 lines
2.5 KiB
TypeScript
import { NextRequest, NextResponse } from "next/server";
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import { z } from "zod";
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import { generateObject } from "ai";
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import { requireSession } from "@/lib/api-auth";
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import { applyRateLimit } from "@/lib/rate-limit";
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import { withAiQuota, resolveAiConfigOrError } from "@/lib/ai/ai-error";
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import { getModelConfigForUseCase } from "@/lib/ai/resolve-user-key";
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import { resolveModel } from "@/lib/ai/factory";
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import { getUserPrivateBio, buildUserBioContext } from "@/lib/ai/user-bio";
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const InputSchema = z.object({
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prompt: z.string().max(300).optional(),
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});
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const LANG: Record<string, string> = { en: "English", fr: "French" };
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const IdeasSchema = z.object({
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ideas: z.array(z.object({
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title: z.string(),
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description: z.string(),
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tags: z.array(z.string()).max(4),
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difficulty: z.enum(["easy", "medium", "hard"]),
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totalMins: z.number().int().optional(),
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})).length(6),
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});
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export async function POST(req: NextRequest) {
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const { session, response } = await requireSession();
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if (response) return response;
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const body = await req.json() as unknown;
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const parsed = InputSchema.safeParse(body);
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if (!parsed.success) {
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return NextResponse.json({ error: "Validation error" }, { status: 400 });
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}
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const limited = await applyRateLimit(`rl:ai:${session!.user.id}`, 10, 60);
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if (limited) return limited;
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const [configResult, privateBio] = await Promise.all([
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resolveAiConfigOrError(() => getModelConfigForUseCase(session!.user.id, "text")),
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getUserPrivateBio(session!.user.id),
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]);
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if (!configResult.ok) return configResult.response;
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const model = resolveModel(configResult.data);
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const bioContext = buildUserBioContext(privateBio);
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const userContext = bioContext
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? `Consider the following user preferences when suggesting ideas:${bioContext}\n\n`
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: "";
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const locale = (session!.user as { locale?: string }).locale ?? "en";
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const lang = LANG[locale] ?? "English";
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const prompt = parsed.data.prompt?.trim()
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? `${userContext}Generate 6 diverse recipe ideas based on: "${parsed.data.prompt}". Include a mix of difficulty levels.`
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: `${userContext}Generate 6 diverse, creative recipe ideas. Include different cuisines, difficulty levels, and meal types.`;
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const result = await withAiQuota(session!.user.id, session!.user.tier as "free" | "pro", () =>
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generateObject({
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model,
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schema: IdeasSchema,
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system: `Respond in ${lang}.`,
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prompt,
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})
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);
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if (!result.ok) return result.response;
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return NextResponse.json(result.data.object.ideas);
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}
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