Alexander Bocken
7e1181461e
Dual-source nutrition system using BLS (German, primary) and USDA (English, fallback) with ML embedding matching (multilingual-e5-small / all-MiniLM-L6-v2), hybrid substring-first search, and position-aware scoring heuristics. Includes per-recipe and global manual ingredient overwrites, ingredient skip/exclude, referenced recipe nutrition (base refs + anchor tags), section-name dedup, amino acid tracking, and reactive client-side calculator with NutritionSummary component.
42 lines
1.2 KiB
TypeScript
42 lines
1.2 KiB
TypeScript
import { json, type RequestHandler } from '@sveltejs/kit';
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import { NUTRITION_DB } from '$lib/data/nutritionDb';
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import { BLS_DB } from '$lib/data/blsDb';
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/** GET: Search BLS + USDA nutrition databases by name substring */
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export const GET: RequestHandler = async ({ url }) => {
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const q = (url.searchParams.get('q') || '').toLowerCase().trim();
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if (q.length < 2) return json([]);
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const results: { source: 'bls' | 'usda'; id: string; name: string; category: string; calories: number }[] = [];
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// Search BLS first (primary)
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for (const entry of BLS_DB) {
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if (results.length >= 30) break;
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if (entry.nameDe.toLowerCase().includes(q) || entry.nameEn.toLowerCase().includes(q)) {
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results.push({
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source: 'bls',
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id: entry.blsCode,
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name: `${entry.nameDe}${entry.nameEn ? ` (${entry.nameEn})` : ''}`,
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category: entry.category,
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calories: entry.per100g.calories,
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});
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}
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}
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// Then USDA
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for (const entry of NUTRITION_DB) {
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if (results.length >= 40) break;
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if (entry.name.toLowerCase().includes(q)) {
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results.push({
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source: 'usda',
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id: String(entry.fdcId),
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name: entry.name,
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category: entry.category,
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calories: entry.per100g.calories,
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});
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}
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}
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return json(results.slice(0, 30));
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};
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