from datasets import load_dataset, DatasetDict, Features, Value, Image, Video

# Define feature schemas
thumbnails_features = Features(
    {
        "user": Value("string"),
        "duration": Value("float32"),
        "extension": Value("string"),
        "num_frames": Value("int32"),
        "thumbnails": Image(),  # Loads image thumbnails
    }
)

videos_features = Features(
    {
        "user": Value("string"),
        "duration": Value("float32"),
        "extension": Value("string"),
        "num_frames": Value("int32"),
        "videos": Video(),  # Store video path as a string
    }
)

timelapses_features = Features(
    {
        "user": Value("string"),
        "duration": Value("float32"),
        "extension": Value("string"),
        "num_frames": Value("int32"),
        "timelapses": Video(),  # Store video path as a string
    }
)

# Load datasets
datasets = DatasetDict(
    {
        "thumbnails": load_dataset(
            "csv",
            data_files="metadata/thumbnails_metadata.csv",
            features=thumbnails_features,
        ),
        "videos": load_dataset(
            "csv", data_files="metadata/video_metadata.csv", features=videos_features
        ),
        "timelapses": load_dataset(
            "csv",
            data_files="metadata/timelapses_metadata.csv",
            features=timelapses_features,
        ),
    }
)