Arnaud
b0849c3989
Six M-sized items from HANDOFF.md's new-features backlog: - Profile tabs: cooking-history stats (total cooked, last-cooked, streak) and a "cooked it" photo gallery, both owner-only - Display-time unit conversion (metric<->imperial) for recipe ingredients, respecting each user's unitPref; original value always shown alongside the conversion - Nutrition daily diary: per-day macro totals computed from cooking history x recipe nutritionData, compared against user goals - Pantry scan: real barcode lookup (zxing + Open Food Facts, no API key) with an AI-vision fallback for unbarcoded items, always confirm-before- insert, both paths tier/rate-limited like other AI features - Weekly digest email: new followers/comments/ratings + trending recipes, sent via a new `cron` Docker stage (alpine+crond+curl) and `digest-cron` compose service hitting a bearer-token-protected internal route - Meal-plan generation can now target a user's nutrition goals as a prompt-level nudge (recipes are AI-invented, not DB-sourced, so this can't be a hard macro constraint) Caught a real deploy-breaking issue while adding the cron stage: appending it after `runner` silently changed the Dockerfile's default build target, and `web`'s compose config didn't pin one — fixed by pinning `target: runner` explicitly. Verified with typecheck, lint, and three separate `docker build --target` runs (runner/cron/migrator) plus `docker compose config` validation. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
82 lines
2.5 KiB
TypeScript
82 lines
2.5 KiB
TypeScript
import { NextRequest, NextResponse } from "next/server";
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import { z } from "zod";
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import { requireSession } from "@/lib/api-auth";
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import { applyRateLimit } from "@/lib/rate-limit";
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const Schema = z.object({
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barcode: z.string().trim().min(4).max(32).regex(/^[0-9]+$/, "Barcode must be numeric"),
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});
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type OffProduct = {
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product_name?: string;
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product_name_en?: string;
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generic_name?: string;
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quantity?: string;
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product_quantity?: string;
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product_quantity_unit?: string;
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brands?: string;
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};
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type OffResponse = {
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status: number;
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product?: OffProduct;
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};
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/** Very rough unit guess from Open Food Facts' free-text `quantity` field (e.g. "500 g", "1 L"). */
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function extractUnit(quantity: string | undefined): string | undefined {
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if (!quantity) return undefined;
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const match = /([a-zA-Z]+)\s*$/.exec(quantity.trim());
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return match?.[1]?.toLowerCase();
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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) return NextResponse.json({ error: "Validation error" }, { status: 400 });
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const limited = await applyRateLimit(`rl:pantry-scan-barcode:${session!.user.id}`, 20, 60);
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if (limited) return limited;
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const { barcode } = parsed.data;
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let offResponse: Response;
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try {
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offResponse = await fetch(
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`https://world.openfoodfacts.org/api/v2/product/${encodeURIComponent(barcode)}.json`,
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{
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headers: { "User-Agent": "Epicure/1.0 (pantry-scan)" },
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signal: AbortSignal.timeout(8000),
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}
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);
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} catch {
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return NextResponse.json({ error: "Barcode lookup service unavailable" }, { status: 502 });
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}
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if (!offResponse.ok) {
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return NextResponse.json({ error: "Barcode lookup service unavailable" }, { status: 502 });
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}
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const data = await offResponse.json() as OffResponse;
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if (data.status !== 1 || !data.product) {
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return NextResponse.json({ found: false });
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}
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const product = data.product;
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const rawName = product.product_name_en?.trim() || product.product_name?.trim() || product.generic_name?.trim();
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if (!rawName) {
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return NextResponse.json({ found: false });
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}
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return NextResponse.json({
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found: true,
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rawName: product.brands ? `${rawName} (${product.brands.split(",")[0]?.trim()})` : rawName,
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quantity: product.product_quantity,
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unit: extractUnit(product.product_quantity_unit) ?? extractUnit(product.quantity),
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});
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}
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