recipes: overhaul nutrition editor UI and defer saves to form submission

- 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
This commit is contained in:
2026-04-02 19:46:01 +02:00
parent d2a0411937
commit 8f3a3035f0
6 changed files with 458 additions and 317 deletions
@@ -4,7 +4,7 @@ import { dbConnect } from '$utils/db';
import { isEnglish } from '$lib/server/recipeHelpers';
import { generateNutritionMappings } from '$lib/server/nutritionMatcher';
export const POST: RequestHandler = async ({ params, locals }) => {
export const POST: RequestHandler = async ({ params, locals, url }) => {
await locals.auth();
await dbConnect();
@@ -19,6 +19,14 @@ export const POST: RequestHandler = async ({ params, locals }) => {
const ingredients = recipe.ingredients || [];
const translatedIngredients = recipe.translations?.en?.ingredients;
const newMappings = await generateNutritionMappings(ingredients, translatedIngredients);
const preview = url.searchParams.get('preview') === 'true';
// In preview mode, return pure auto-matches without saving (client merges manual edits)
if (preview) {
return json({ mappings: newMappings, count: newMappings.length });
}
// Preserve manually edited mappings
const existingMappings = recipe.nutritionMappings || [];
const manualMappings = new Map(
@@ -27,8 +35,6 @@ export const POST: RequestHandler = async ({ params, locals }) => {
.map((m: any) => [`${m.sectionIndex}-${m.ingredientIndex}`, m])
);
const newMappings = await generateNutritionMappings(ingredients, translatedIngredients);
// Merge: keep manual edits, use new auto-matches for the rest
const finalMappings = newMappings.map(m => {
const key = `${m.sectionIndex}-${m.ingredientIndex}`;
+18 -11
View File
@@ -1,41 +1,48 @@
import { json, type RequestHandler } from '@sveltejs/kit';
import { NUTRITION_DB } from '$lib/data/nutritionDb';
import { BLS_DB } from '$lib/data/blsDb';
import { fuzzyScore } from '$lib/js/fuzzy';
/** GET: Search BLS + USDA nutrition databases by name substring */
/** GET: Search BLS + USDA nutrition databases by fuzzy name match */
export const GET: RequestHandler = async ({ url }) => {
const q = (url.searchParams.get('q') || '').toLowerCase().trim();
if (q.length < 2) return json([]);
const results: { source: 'bls' | 'usda'; id: string; name: string; category: string; calories: number }[] = [];
const scored: { source: 'bls' | 'usda'; id: string; name: string; category: string; calories: number; score: number }[] = [];
// Search BLS first (primary)
// Search BLS (primary)
for (const entry of BLS_DB) {
if (results.length >= 30) break;
if (entry.nameDe.toLowerCase().includes(q) || entry.nameEn.toLowerCase().includes(q)) {
results.push({
const scoreDe = fuzzyScore(q, entry.nameDe.toLowerCase());
const scoreEn = entry.nameEn ? fuzzyScore(q, entry.nameEn.toLowerCase()) : 0;
const best = Math.max(scoreDe, scoreEn);
if (best > 0) {
scored.push({
source: 'bls',
id: entry.blsCode,
name: `${entry.nameDe}${entry.nameEn ? ` (${entry.nameEn})` : ''}`,
category: entry.category,
calories: entry.per100g.calories,
score: best,
});
}
}
// Then USDA
// Search USDA
for (const entry of NUTRITION_DB) {
if (results.length >= 40) break;
if (entry.name.toLowerCase().includes(q)) {
results.push({
const s = fuzzyScore(q, entry.name.toLowerCase());
if (s > 0) {
scored.push({
source: 'usda',
id: String(entry.fdcId),
name: entry.name,
category: entry.category,
calories: entry.per100g.calories,
score: s,
});
}
}
return json(results.slice(0, 30));
// Sort by score descending, return top 30 (without score field)
scored.sort((a, b) => b.score - a.score);
return json(scored.slice(0, 30).map(({ score, ...rest }) => rest));
};