Arnaud
d9d58fd01a
Provider factory (OpenAI/Anthropic/OpenRouter/Ollama). generateObject for all outputs. Features: recipe generation, photo-to-recipe vision, variations, drink/meal pairings, ingredient substitution, recipe adaptation, nutrition analysis, URL import, meal plan gen. User BYOK keys (AES-256-GCM). Per-use-case model preferences (text/vision/mealPlan). Site-level key override via admin settings.
41 lines
1.5 KiB
TypeScript
41 lines
1.5 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(),
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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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