from datasets import load_dataset

import config


def load_raw_rewriting_dataset_as_pandas():
    return load_dataset(config.HF_RAW_DATASET_NAME,
                        split=config.HF_RAW_DATASET_SPLIT,
                        token=config.HF_TOKEN,
                        cache_dir=config.CACHE_DIR).to_pandas()


def load_full_commit_dataset_as_pandas():
    return load_dataset(path=config.HF_FULL_COMMITS_DATASET_NAME,
                        name=config.HF_FULL_COMMITS_DATASET_SUBNAME,
                        split=config.HF_FULL_COMMITS_DATASET_SPLIT,
                        cache_dir=config.CACHE_DIR).to_pandas().rename(
        columns={'message': 'reference'})


def load_processed_rewriting_dataset_as_pandas():
    manual_rewriting = load_raw_rewriting_dataset_as_pandas()[
        ["hash", "repo", "commit_msg_start", "commit_msg_end", "session"]]
    manual_rewriting.set_index(["hash", "repo"], inplace=True)

    mods_dataset = load_full_commit_dataset_as_pandas()[["hash", "repo", "mods"]]
    mods_dataset.set_index(["hash", "repo"], inplace=True)

    return manual_rewriting.join(other=mods_dataset, how='left').reset_index()


def load_synthetic_dataset_as_pandas():
    return load_dataset(config.HF_SYNTHETIC_DATASET_NAME,
                        split=config.HF_SYNTHETIC_DATASET_SPLIT,
                        token=config.HF_TOKEN,
                        cache_dir=config.CACHE_DIR).to_pandas()