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.
64 lines
2.2 KiB
TypeScript
64 lines
2.2 KiB
TypeScript
import { generateObject } from "ai";
|
|
import { z } from "zod";
|
|
import { resolveModel, type AiConfig } from "../factory";
|
|
|
|
const ImportedRecipeSchema = z.object({
|
|
title: z.string(),
|
|
description: z.string().optional(),
|
|
baseServings: z.number().int().min(1).optional(),
|
|
prepMins: z.number().int().min(0).optional(),
|
|
cookMins: z.number().int().min(0).optional(),
|
|
difficulty: z.enum(["easy", "medium", "hard"]).optional(),
|
|
dietaryTags: z.object({
|
|
vegan: z.boolean().optional(),
|
|
vegetarian: z.boolean().optional(),
|
|
glutenFree: z.boolean().optional(),
|
|
dairyFree: z.boolean().optional(),
|
|
nutFree: z.boolean().optional(),
|
|
halal: z.boolean().optional(),
|
|
kosher: z.boolean().optional(),
|
|
}).optional(),
|
|
ingredients: z.array(z.object({
|
|
rawName: z.string(),
|
|
quantity: z.string().optional(),
|
|
unit: z.string().optional(),
|
|
note: z.string().optional(),
|
|
})),
|
|
steps: z.array(z.object({
|
|
instruction: z.string(),
|
|
timerSeconds: z.number().int().optional(),
|
|
})),
|
|
});
|
|
|
|
export type ImportedRecipe = z.infer<typeof ImportedRecipeSchema>;
|
|
|
|
export async function importFromUrl(url: string, config?: AiConfig): Promise<ImportedRecipe> {
|
|
const res = await fetch(url, {
|
|
headers: { "User-Agent": "Mozilla/5.0 (compatible; Epicure/1.0; recipe importer)" },
|
|
signal: AbortSignal.timeout(10000),
|
|
});
|
|
|
|
if (!res.ok) throw new Error(`Failed to fetch URL: ${res.status}`);
|
|
|
|
const html = await res.text();
|
|
// strip scripts/styles, take first 30k chars to stay within context
|
|
const cleaned = html
|
|
.replace(/<script[\s\S]*?<\/script>/gi, "")
|
|
.replace(/<style[\s\S]*?<\/style>/gi, "")
|
|
.replace(/<[^>]+>/g, " ")
|
|
.replace(/\s+/g, " ")
|
|
.slice(0, 30000);
|
|
|
|
const model = resolveModel(config);
|
|
|
|
const { object } = await generateObject({
|
|
model,
|
|
schema: ImportedRecipeSchema,
|
|
system:
|
|
"You are an expert at extracting structured recipe data from web page text. Extract all recipe information accurately. For ingredients, separate quantity, unit, and name. For steps, extract timer durations in seconds when mentioned.",
|
|
prompt: `Extract the recipe from this web page:\n\nURL: ${url}\n\nContent:\n${cleaned}`,
|
|
});
|
|
|
|
return object;
|
|
}
|