Alexander Bocken
705a10bb3a
- Nutrition mappings and global overwrites are now local-only until the recipe is saved, preventing premature DB writes on generate/edit - Generate endpoint supports ?preview=true for non-persisting previews - Show existing nutrition data immediately instead of requiring generate - Replace raw checkboxes with Toggle component for global overwrites, initialized from existing NutritionOverwrite records - Fix search dropdown readability (solid backgrounds, proper theming) - Use fuzzy search (fzf-style) for manual nutrition ingredient lookup - Swap ingredient display: German primary, English in brackets - Allow editing g/u on manually mapped ingredients - Make translation optional: separate save (FAB) and translate buttons - "Vollständig neu übersetzen" now triggers actual full retranslation - Show existing translation inline instead of behind a button - Replace nord0 dark backgrounds with semantic theme variables
49 lines
1.5 KiB
TypeScript
49 lines
1.5 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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import { fuzzyScore } from '$lib/js/fuzzy';
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/** GET: Search BLS + USDA nutrition databases by fuzzy name match */
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export const GET: RequestHandler = async ({ url }) => {
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const q = (url.searchParams.get('q') || '').toLowerCase().trim();
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if (q.length < 2) return json([]);
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const scored: { source: 'bls' | 'usda'; id: string; name: string; category: string; calories: number; score: number }[] = [];
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// Search BLS (primary)
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for (const entry of BLS_DB) {
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const scoreDe = fuzzyScore(q, entry.nameDe.toLowerCase());
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const scoreEn = entry.nameEn ? fuzzyScore(q, entry.nameEn.toLowerCase()) : 0;
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const best = Math.max(scoreDe, scoreEn);
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if (best > 0) {
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scored.push({
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source: 'bls',
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id: entry.blsCode,
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name: `${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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score: best,
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});
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}
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}
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// Search USDA
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for (const entry of NUTRITION_DB) {
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const s = fuzzyScore(q, entry.name.toLowerCase());
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if (s > 0) {
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scored.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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score: s,
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});
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}
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}
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// Sort by score descending, return top 30 (without score field)
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scored.sort((a, b) => b.score - a.score);
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return json(scored.slice(0, 30).map(({ score, ...rest }) => rest));
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};
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