Arnaud
c31ab8771a
Widens the tier enum from free/pro to free/pro/team and every "free" | "pro" cast that assumed exactly two tiers (~30 call sites: every AI route's withAiQuota/checkAndIncrementTierLimit call, admin user/invite management, upload quota checks, OpenAPI schemas). Team sits above Pro with genuinely unlimited recipes/public-recipes (the -1 sentinel, which Pro doesn't actually use — Pro uses large finite numbers instead) and a higher AI-call/storage cap. Seeded via db:seed, editable afterward from Admin > Tiers. role (user/moderator/admin — permissions) and tier (free/pro/team — billing limits) stay separate concepts, as they already were; this does not touch role-based permissions. Requires migration 0043 to run against a live DB — not applied in this sandbox (no Docker here); run `pnpm db:migrate` then `pnpm db:seed`. v0.44.0
46 lines
1.7 KiB
TypeScript
46 lines
1.7 KiB
TypeScript
import { NextRequest, NextResponse } from "next/server";
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import { z } from "zod";
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import { requireSessionOrApiKey } 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 { scanPantryPhoto } from "@/lib/ai/features/scan-pantry-photo";
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const Schema = z.object({
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imageBase64: z.string().max(14_000_000),
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mimeType: z.enum(["image/jpeg", "image/png", "image/webp"]),
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});
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export async function POST(req: NextRequest) {
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const { session, response } = await requireSessionOrApiKey(req);
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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 = Schema.safeParse(body);
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if (!parsed.success) {
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return NextResponse.json({ error: "Validation error", issues: parsed.error.issues }, { status: 400 });
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}
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const userId = session!.user.id;
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const limited = await applyRateLimit(`rl:ai:${userId}`, 10, 60);
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if (limited) return limited;
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const configResult = await resolveAiConfigOrError(() => getModelConfigForUseCase(userId, "vision"));
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if (!configResult.ok) return configResult.response;
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const aiConfig = configResult.data;
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// Fall back to vision-capable defaults if no explicit model configured
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if (!aiConfig.model) {
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if (aiConfig.provider === "openai") aiConfig.model = "gpt-4o";
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else if (aiConfig.provider === "anthropic") aiConfig.model = "claude-sonnet-4-6";
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}
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const result = await withAiQuota(userId, session!.user.tier as "free" | "pro" | "team", () =>
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scanPantryPhoto(parsed.data.imageBase64, parsed.data.mimeType, aiConfig)
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);
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if (!result.ok) return result.response;
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return NextResponse.json(result.data);
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}
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