import json

import datasets

_DESCRIPTION = "Recipes scraped from ICA.se"

_TRAIN_DOWNLOAD_URL = "./ica.json"


difficulty_translations = {
    "Enkel": "easy",
    "Medel": "medium",
    "Avancerad": "hard",
}


difficulties = ["easy", "medium", "hard"]


class Recept(datasets.GeneratorBasedBuilder):
    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "id": datasets.Value("int32"),
                    "title": datasets.Value("string"),
                    "preamble": datasets.Value("string"),
                    "url": datasets.Value("string"),
                    "cooking_time": datasets.Value("string"),
                    "difficulty": datasets.ClassLabel(names=difficulties),
                    "categories": datasets.Sequence(datasets.Value("string")),
                    "rating": datasets.Value("float32"),
                    "reviews": datasets.Value("int32"),
                    "instructions": datasets.Sequence(datasets.Value("string")),
                    "ingredients": datasets.Sequence(
                        {
                            "heading": datasets.Value("string"),
                            "list": datasets.Sequence(
                                {
                                    "name": datasets.Value("string"),
                                    "amount": datasets.Value("string"),
                                }
                            ),
                        }
                    ),
                    "nutrition": {
                        "energy": datasets.Value("string"),
                        "fat": datasets.Value("string"),
                        "salt": datasets.Value("string"),
                        "carbohydrates": datasets.Value("string"),
                        "protein": datasets.Value("string"),
                    },
                }
            ),
        )

    def _split_generators(self, dl_manager):
        train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL)
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}
            ),
        ]

    def _generate_examples(self, filepath):
        with open(filepath, encoding="utf8") as file:
            for row in file:
                recipe = json.loads(row)
                difficulty = recipe.get("difficulty")
                if difficulty is not None:
                    difficulty = difficulties.index(difficulty_translations[difficulty])

                ingredient_sections = []

                for section in recipe["ingredients"]:
                    ingredients = []
                    for ingredient in section["list"]:
                        ingredients.append(
                            {
                                "name": ingredient["ingr"],
                                "amount": ingredient["qty"],
                            }
                        )
                    ingredient_sections.append(
                        {
                            "heading": section["heading"],
                            "list": ingredients,
                        }
                    )
                
                nutrition = recipe["nutrition"]

                yield recipe["id"], {
                    "id": recipe["id"],
                    "title": recipe["title"],
                    "preamble": recipe["preamble"],
                    "url": recipe["absoluteUrl"],
                    "cooking_time": recipe.get("cookingTime"),
                    "difficulty": difficulty,
                    "categories": recipe["categories"],
                    "rating": recipe["rating"]["averageRating"],
                    "reviews": recipe["rating"]["numberOfVotes"],
                    "instructions": recipe["instructions"],
                    "ingredients": ingredient_sections,
                    "nutrition": {
                        "energy": nutrition.get("energy"),
                        "fat": nutrition.get("fat"),
                        "salt": nutrition.get("salt"),
                        "carbohydrates": nutrition.get("carbohydrates"),
                        "protein": nutrition.get("protein"),
                    },
                }