import os

import matplotlib.pyplot as plt

import dsbuild

stats_path: list[str] = ['../stats/full/test/', '../stats/full/train']


def __plot_mean_word_counts(path: list[str], show: bool = False, save: bool = False):
    for p in path:
        p: str = os.path.normpath(p)
        split_name: str = p.split(os.sep)[-1]
        config_name: str = p.split(os.sep)[-2]

        stats: dict = dsbuild.load_stats(p)
        conversations: list[float] = [conversation['wordsMean'] for _, conversation in stats['conversations'].items()]
        dsbuild.build_mean_word_plot(conversations, f'Mean Words ({config_name}-{split_name})',
                                     text=f'{len(conversations)} total')
        if save:
            plt.savefig(f'../assets/{config_name}-{split_name}.png')
        if show:
            plt.show()


def main():
    __plot_mean_word_counts(stats_path, show=True, save=True)


if __name__ == '__main__':
    main()