Files
Epicure/apps/web/app/api/v1/ai/generate-from-idea/route.ts
T
Arnaud af92b8cc71 feat: auto-classify AI recipes as dish/drink (v0.33.0)
generate, generate-from-idea, URL import, and photo import all now
have the AI set recipeType directly (defaulting to "dish" whenever
ambiguous, per instruction), with cookMins force-cleared for drinks
as a backstop in case the model doesn't follow the prompt guidance.
1-serving-by-default for unspecified drink quantities is left to the
model's own judgment of the request text, since there's no reliable
way to detect "was a serving count stated" without re-parsing intent.

Drink recipes get a distinct default icon (no cover photo case), and
Explore gains the same dish/drink Type filter My Recipes already had.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-14 15:17:33 +02:00

99 lines
3.2 KiB
TypeScript

import { NextRequest, NextResponse } from "next/server";
import { z } from "zod";
import { requireSessionOrApiKey } from "@/lib/api-auth";
import { applyRateLimit } from "@/lib/rate-limit";
import { withAiQuota, resolveAiConfigOrError } from "@/lib/ai/ai-error";
import { generateRecipe } from "@/lib/ai/features/generate-recipe";
import { getUserPrivateBio } from "@/lib/ai/user-bio";
import { withUserKey } from "@/lib/ai/resolve-user-key";
import { db, recipes, recipeIngredients, recipeSteps } from "@epicure/db";
import { parseQuantity } from "@/lib/parse-quantity";
const Schema = z.object({
title: z.string().min(1).max(200),
provider: z.enum(["openai", "anthropic", "openrouter", "ollama"]).optional(),
model: z.string().optional(),
});
const LANG: Record<string, string> = { en: "English", fr: "French" };
export async function POST(req: NextRequest) {
const { session, response } = await requireSessionOrApiKey(req);
if (response) return response;
const body = await req.json() as unknown;
const parsed = Schema.safeParse(body);
if (!parsed.success) {
return NextResponse.json({ error: "Validation error" }, { status: 400 });
}
const limited = await applyRateLimit(`rl:ai:${session!.user.id}`, 10, 60);
if (limited) return limited;
const privateBio = await getUserPrivateBio(session!.user.id);
const locale = (session!.user as { locale?: string }).locale ?? "en";
const configResult = await resolveAiConfigOrError(() =>
withUserKey(session!.user.id, { provider: parsed.data.provider, model: parsed.data.model })
);
if (!configResult.ok) return configResult.response;
const aiConfig = configResult.data;
const result = await withAiQuota(session!.user.id, session!.user.tier as "free" | "pro", () =>
generateRecipe(parsed.data.title, {
...aiConfig,
userContext: privateBio ?? undefined,
language: LANG[locale] ?? "English",
}), { skipQuota: aiConfig.isByok }
);
if (!result.ok) return result.response;
const recipe = result.data;
const recipeId = crypto.randomUUID();
await db.insert(recipes).values({
id: recipeId,
authorId: session!.user.id,
title: recipe.title,
description: recipe.description ?? null,
baseServings: recipe.baseServings,
recipeType: recipe.recipeType,
prepMins: recipe.prepMins ?? null,
cookMins: recipe.cookMins ?? null,
difficulty: recipe.difficulty ?? null,
visibility: "private",
aiGenerated: true,
language: locale,
dietaryTags: recipe.dietaryTags ?? {},
tags: [],
});
if (recipe.ingredients?.length) {
await db.insert(recipeIngredients).values(
recipe.ingredients.map((ing, i) => ({
id: crypto.randomUUID(),
recipeId,
rawName: ing.rawName,
quantity: parseQuantity(ing.quantity) ?? null,
unit: ing.unit ?? null,
note: ing.note ?? null,
order: i,
}))
);
}
if (recipe.steps?.length) {
await db.insert(recipeSteps).values(
recipe.steps.map((step, i) => ({
id: crypto.randomUUID(),
recipeId,
instruction: step.instruction,
timerSeconds: step.timerSeconds ?? null,
order: i,
}))
);
}
return NextResponse.json({ id: recipeId });
}