002f14ced0
Shopping list add already worked generically for batch-cook recipes — no code needed there. New: mark a specific batch-cook dish as "cooked today", track its fridge expiry (cookingHistory.batchDishId), surface a "Leftovers expiring soon" widget on the pantry page, and send a daily push+email reminder via a new /api/internal/cron/leftover-reminders endpoint (mirrors the weekly-digest cron pattern; doesn't use the social notifications table, which requires a non-null actor and isn't built for self-reminders). Also fixes, from user-reported bugs: - Recipe cards showed no batch-cook badge/dish-count/prep-time in some views — added dishCount + prepMins/cookMins (now generated by the AI and persisted) to the card component and /recipes query. - Batch-cook descriptions occasionally contained raw markdown (**bold**) — added explicit "plain prose only" prompt instructions and a stripMarkdown() defensive fallback at render time. - Truncated/cut-off descriptions — the generateObject call had no maxOutputTokens set, so long structured responses could get cut off mid-field; now capped explicitly at 8000. - Generate dialogs (batch-cook + the main AI dialog) could show buttons unreachable once the progress bar appeared mid-generation — restructured so the action row is pinned outside the scrollable content area, not affected by content height changes. - /api/internal/* routes were being redirected to /login by middleware before their own CRON_SECRET check ever ran (pre-existing bug, affected the weekly-digest cron too) — added to PUBLIC_PATHS. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
122 lines
3.9 KiB
TypeScript
122 lines
3.9 KiB
TypeScript
import { NextRequest, NextResponse } from "next/server";
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import { z } from "zod";
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import { db, recipes, recipeIngredients, recipeSteps, recipeBatchDishes } from "@epicure/db";
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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 { getDefaultProviderWithKey } from "@/lib/ai/resolve-user-key";
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import { withAiQuota, resolveAiConfigOrError } from "@/lib/ai/ai-error";
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import { generateBatchCook } from "@/lib/ai/features/generate-batch-cook";
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import { getUserPrivateBio } from "@/lib/ai/user-bio";
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import { parseQuantity } from "@/lib/parse-quantity";
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const Schema = z.object({
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dinners: z.number().int().min(0).max(6).default(4),
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lunches: z.number().int().min(0).max(6).default(0),
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servings: z.number().int().min(1).max(12).default(4),
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dietaryPrefs: z.string().max(200).optional(),
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difficulty: z.enum(["easy", "medium", "hard"]).optional(),
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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", issues: parsed.error.issues }, { status: 400 });
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}
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if (parsed.data.dinners + parsed.data.lunches < 1) {
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return NextResponse.json({ error: "Choose at least one dinner or lunch" }, { status: 400 });
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}
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const limited = await applyRateLimit(`rl:ai:${session!.user.id}`, 3, 60);
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if (limited) return limited;
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const userId = session!.user.id;
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const locale = (session!.user as { locale?: string }).locale ?? "en";
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const [configResult, privateBio] = await Promise.all([
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resolveAiConfigOrError(() => getDefaultProviderWithKey(userId)),
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getUserPrivateBio(userId),
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]);
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if (!configResult.ok) return configResult.response;
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const config = configResult.data;
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const result = await withAiQuota(userId, session!.user.tier as "free" | "pro", () =>
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generateBatchCook(
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{
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dinners: parsed.data.dinners,
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lunches: parsed.data.lunches,
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servings: parsed.data.servings,
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dietaryPrefs: parsed.data.dietaryPrefs,
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difficulty: parsed.data.difficulty,
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},
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{ ...config, userContext: privateBio ?? undefined },
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locale
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)
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);
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if (!result.ok) return result.response;
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const plan = result.data;
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const recipeId = crypto.randomUUID();
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await db.transaction(async (tx) => {
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await tx.insert(recipes).values({
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id: recipeId,
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authorId: userId,
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title: plan.title,
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description: plan.description,
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baseServings: parsed.data.servings,
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visibility: "private",
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aiGenerated: true,
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isBatchCook: true,
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language: locale,
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prepMins: plan.prepMins,
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cookMins: plan.cookMins,
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});
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if (plan.ingredients.length > 0) {
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await tx.insert(recipeIngredients).values(
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plan.ingredients.map((ing, i) => ({
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id: crypto.randomUUID(),
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recipeId,
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rawName: ing.rawName,
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quantity: parseQuantity(ing.quantity) ?? null,
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unit: ing.unit ?? null,
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order: i,
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}))
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);
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}
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if (plan.steps.length > 0) {
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await tx.insert(recipeSteps).values(
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plan.steps.map((step, i) => ({
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id: crypto.randomUUID(),
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recipeId,
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instruction: step.instruction,
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order: i,
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appliesTo: step.appliesTo,
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}))
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);
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}
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if (plan.dishes.length > 0) {
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await tx.insert(recipeBatchDishes).values(
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plan.dishes.map((dish, i) => ({
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id: crypto.randomUUID(),
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recipeId,
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name: dish.name,
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description: dish.description,
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order: i,
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fridgeDays: dish.fridgeDays,
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freezerFriendly: dish.freezerFriendly,
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freezerNote: dish.freezerNote ?? null,
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dayOfInstructions: dish.dayOfInstructions,
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}))
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);
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}
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});
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return NextResponse.json({ id: recipeId });
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}
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