Arnaud
79 lines
2.6 KiB
TypeScript
79 lines
2.6 KiB
TypeScript
import { NextRequest, NextResponse } from "next/server";
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import { z } from "zod";
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import { generateText } 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 { getModelConfigForUseCase } from "@/lib/ai/resolve-user-key";
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import { resolveModel } from "@/lib/ai/factory";
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import { db, recipes, eq, and } from "@epicure/db";
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import { getUserPrivateBio, buildUserBioContext } from "@/lib/ai/user-bio";
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const Schema = z.object({
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recipeId: z.string().uuid(),
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question: z.string().min(1).max(500),
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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 = Schema.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:${session!.user.id}`, 30, 60);
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if (limited) return limited;
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const recipe = await db.query.recipes.findFirst({
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where: and(eq(recipes.id, parsed.data.recipeId), eq(recipes.authorId, session!.user.id)),
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with: {
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ingredients: { orderBy: (t, { asc }) => asc(t.order) },
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steps: { orderBy: (t, { asc }) => asc(t.order) },
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},
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});
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if (!recipe) {
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return NextResponse.json({ error: "Recipe not found" }, { status: 404 });
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}
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const ingredientList = recipe.ingredients
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.map((ing) => [ing.quantity, ing.unit, ing.rawName, ing.note ? `(${ing.note})` : ""].filter(Boolean).join(" "))
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.join("\n");
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const stepList = recipe.steps
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.map((s, i) => `${i + 1}. ${s.instruction}`)
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.join("\n");
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const recipeContext = `
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Recipe: ${recipe.title}
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${recipe.description ? `Description: ${recipe.description}` : ""}
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Difficulty: ${recipe.difficulty ?? "unknown"}
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Prep: ${recipe.prepMins ?? 0}min | Cook: ${recipe.cookMins ?? 0}min | Servings: ${recipe.baseServings}
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INGREDIENTS:
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${ingredientList || "None listed"}
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STEPS:
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${stepList || "None listed"}
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`.trim();
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const [config, privateBio] = await Promise.all([
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getModelConfigForUseCase(session!.user.id, "text"),
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getUserPrivateBio(session!.user.id),
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]);
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const model = resolveModel(config);
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const bioContext = buildUserBioContext(privateBio);
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const { text } = await generateText({
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model,
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system: `You are a helpful culinary assistant. Answer questions about the following recipe concisely and accurately. If a question is not related to the recipe or cooking, politely redirect. Keep answers under 200 words.
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${recipeContext}${bioContext}`,
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prompt: parsed.data.question,
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});
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return NextResponse.json({ answer: text });
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}
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