import { generateObject } from "ai";
import { z } from "zod";
import { resolveModel, type AiConfig } from "../factory";

const PhotoRecognitionSchema = z.object({
  found: z.boolean().describe("false if the image does not show a dish, drink, or recipe (random photo, no visible food)"),
  recipeType: z.enum(["dish", "drink"]).describe("\"drink\" only for a beverage/cocktail — \"dish\" for anything else, including if unsure."),
  title: z.string().describe("Best guess at the dish or drink's name"),
  visibleIngredients: z.array(z.string()).describe("Ingredients visibly identifiable in the photo"),
  description: z.string().describe("What's visible — presentation, garnish, cooking state, texture, any visible labels/text — detailed enough that someone who never saw the photo could write the full recipe from this alone"),
});

export type PhotoRecognition = z.infer<typeof PhotoRecognitionSchema>;

/** Step 1 of the photo-import flow: a vision model looks at the photo and
 * describes what it sees. Deliberately recognition-only — the actual recipe
 * (quantities, steps, timing) is reconstructed afterwards by a text model in
 * `generateRecipeFromRecognition`, the same split pantry photo-scan uses
 * between "what's in this photo" and downstream structuring. */
export async function recognizePhoto(
  imageBase64: string,
  mimeType: "image/jpeg" | "image/png" | "image/webp",
  config?: AiConfig,
): Promise<PhotoRecognition> {
  const model = resolveModel(config);

  const { object } = await generateObject({
    model,
    schema: PhotoRecognitionSchema,
    system:
      "You are a food-recognition specialist. Look at the image and describe the dish or drink it shows in enough visual detail — ingredients, presentation, cooking state — that someone who never saw the photo could write a full recipe from your description alone. If the image doesn't show food, a drink, or a recipe, set found to false and leave the other fields minimal.",
    messages: [
      {
        role: "user",
        content: [
          { type: "image", image: imageBase64, mediaType: mimeType },
          { type: "text", text: "What dish or drink is shown in this photo?" },
        ],
      },
    ],
  });

  return object;
}