Arnaud
5afc7cd182
- Fixed a real i18n bug: the checked-count line called the wrong translation namespace and rendered the literal key on screen - Shopping lists can now be renamed and deleted from both the list index and detail pages (API already supported delete; rename was net new) - Root-caused "long list UI is off": meal-plan-generated lists never set an aisle, so every item fell into one undifferentiated "Other" bucket despite the grouping UI existing. Added a keyword-based aisle guesser wired into list generation (fallback only, never overrides an explicit aisle) plus a one-click "auto-categorize" for existing lists - Items can now be reordered by drag-and-drop within a category (dnd-kit), recategorized via a dropdown, deleted, searched, and sorted (category / alphabetical / unchecked-first); searching flattens the grouped view - Fixed a separate bug: AI-generated ingredients sometimes embedded the quantity/unit in the name itself (e.g. "2 cups flour" as one string). Added extractIngredientQuantity() as a Zod transform at both recipe create/update routes (the choke point every creation path funnels through) to split it back out, plus schema descriptions on the AI ingredient schemas as a prevention layer New migration 0028 (shopping_list_items.sort_order), left unapplied like the others. Verified with typecheck, lint, and a clean --no-cache docker build. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
41 lines
1.7 KiB
TypeScript
41 lines
1.7 KiB
TypeScript
import { generateObject } from "ai";
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import { z } from "zod";
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import { resolveModel, type AiConfig } from "../factory";
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const TranslationOutputSchema = z.object({
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title: z.string(),
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description: z.string(),
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ingredients: z.array(z.object({
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rawName: z.string().describe("Translated ingredient name only — never add the quantity or unit, those are handled separately and unaffected by translation."),
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note: z.string().optional(),
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})),
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steps: z.array(z.object({
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instruction: z.string(),
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})),
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});
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export type TranslatedRecipe = z.infer<typeof TranslationOutputSchema>;
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export async function translateRecipe(
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recipe: {
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title: string;
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description?: string | null;
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ingredients: Array<{ rawName: string; note?: string | null }>;
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steps: Array<{ instruction: string }>;
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},
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targetLanguage: string,
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config?: AiConfig
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): Promise<TranslatedRecipe> {
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const model = resolveModel(config);
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const { object } = await generateObject({
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model,
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schema: TranslationOutputSchema,
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system:
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"You are a professional culinary translator. Translate recipes accurately, preserving culinary meaning, cooking terms, and cultural context. Keep ingredient quantities and units as-is (numbers and unit abbreviations are universal). Only translate text content.",
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prompt: `Translate the following recipe into ${targetLanguage}. Return the same structure with translated text.\n\nTitle: ${recipe.title}\nDescription: ${recipe.description ?? ""}\nIngredients: ${recipe.ingredients.map((i) => `- ${i.rawName}${i.note ? ` (${i.note})` : ""}`).join("\n")}\nSteps: ${recipe.steps.map((s, i) => `${i + 1}. ${s.instruction}`).join("\n")}`,
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});
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return object;
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}
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