import os
import json
import fasttext
from typing import Union, List


def model_fn(model_dir):
    loaded_model = fasttext.load_model(
        os.path.join(model_dir, "fasttext_model_300.bin")
    )
    return loaded_model


def input_fn(input_data, content_type):
    data = json.loads(input_data)
    return data['inputs']


def predict_fn(data: Union[List[str], str], model):
    if isinstance(data, str):
        return model.get_sentence_vector(data).tolist()
    elif isinstance(data, list):
        return [model.get_sentence_vector(sentence).tolist() for sentence in data]
    else:
        raise ValueError(f"Unsupported data type: {type(data)}")


def output_fn(prediction, accept):
    return json.dumps(
        obj={
            "outputs": prediction
        },
        ensure_ascii=False,
        default=str
    )