2f3ba14093
Admins can now disable specific AI features per tier from Admin > Tier Limits — new feature_flags table (feature x tier -> enabled, defaulting to true so adding a new gated feature never needs a backfill). Covers recipe variations, drink pairing, and meal pairing to start. When disabled for a user's tier, the button stays visible (with a small lock badge) but opens an upgrade dialog instead of running; the API route rejects the call server-side either way (requireFeatureEnabled, re-reads tier from the DB rather than trusting the session's cache, same rationale as checkAndIncrementTierLimit). The upgrade dialog is informational only — no Stripe checkout exists yet (STRIPE_PLAN.md is still just a plan) — its CTA links to /support prefilled as an upgrade-interest suggestion. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
78 lines
2.8 KiB
TypeScript
78 lines
2.8 KiB
TypeScript
import { NextRequest, NextResponse } from "next/server";
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import { z } from "zod";
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import { and, eq } from "@epicure/db";
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import { db, recipes } from "@epicure/db";
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import { requireSessionOrApiKey } from "@/lib/api-auth";
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import { withAiQuota, resolveAiConfigOrError } from "@/lib/ai/ai-error";
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import { suggestPairings } from "@/lib/ai/features/suggest-pairings";
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import { withUserKey } from "@/lib/ai/resolve-user-key";
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import { getUserPrivateBio } from "@/lib/ai/user-bio";
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import { requireFeatureEnabled, FeatureDisabledError } from "@/lib/feature-flags";
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const Schema = z.object({
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count: z.number().int().min(1).max(6).default(4),
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provider: z.enum(["openai", "anthropic", "openrouter", "ollama"]).optional(),
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model: z.string().optional(),
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});
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type Params = { params: Promise<{ id: string }> };
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export async function POST(req: NextRequest, { params }: Params) {
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const { session, response } = await requireSessionOrApiKey(req);
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if (response) return response;
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try {
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await requireFeatureEnabled(session!.user.id, "meal_pairing");
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} catch (err) {
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if (err instanceof FeatureDisabledError) {
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return NextResponse.json(
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{ error: "This feature isn't available on your plan", code: "FEATURE_DISABLED", featureKey: err.featureKey },
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{ status: 403 }
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);
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}
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throw err;
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}
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const { id } = await params;
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// Allow pairings for own recipes or public recipes
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const recipe = await db.query.recipes.findFirst({
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where: and(eq(recipes.id, id)),
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with: { ingredients: true },
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});
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if (!recipe || (recipe.visibility === "private" && recipe.authorId !== session!.user.id)) {
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return NextResponse.json({ error: "Not found" }, { status: 404 });
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}
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const body = await req.json() as unknown;
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const parsed = Schema.safeParse(body ?? {});
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if (!parsed.success) return NextResponse.json({ error: "Validation error" }, { status: 400 });
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const [configResult, privateBio] = await Promise.all([
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resolveAiConfigOrError(() =>
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withUserKey(session!.user.id, { provider: parsed.data.provider, model: parsed.data.model })
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),
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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 aiConfig = configResult.data;
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const result = await withAiQuota(session!.user.id, session!.user.tier as "free" | "pro" | "family", () =>
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suggestPairings(
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{
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title: recipe.title,
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description: recipe.description,
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difficulty: recipe.difficulty,
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dietaryTags: recipe.dietaryTags as Record<string, boolean> | null,
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ingredients: recipe.ingredients,
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},
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parsed.data.count,
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{ ...aiConfig, userContext: privateBio ?? undefined },
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(session!.user as { locale?: string }).locale ?? "en"
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), { skipQuota: aiConfig.isByok }
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);
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if (!result.ok) return result.response;
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return NextResponse.json({ pairings: result.data });
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}
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