#!usr/bin/env python
# -*- coding: utf8 -*-

import os
import pandas as pd

from ChildProject.projects import ChildProject

def _correct_ages(path_dataset, path_metrics):
    project = ChildProject(path_dataset)
    project.read()

    project.recordings["age"] = project.compute_ages()
    updated_ages = project.recordings[["age", "session_id"]]
    updated_ages['age'] = updated_ages['age'].apply(int)

    metrics = pd.read_csv(path_metrics)
    for _, row in updated_ages.iterrows():
        old_age = metrics.loc[metrics['session_id']==row['session_id']]
        if not old_age.empty:
            metrics.loc[metrics['session_id']==row['session_id'], 'age'] = row['age']


    metrics.to_csv(path_metrics, index=False)

def main(**kwargs):
    _correct_ages(**kwargs)


def _parse_args(argv):
    import argparse

    parser = argparse.ArgumentParser(description='Correct ages in the metrics files.')
    parser.add_argument('--path-dataset', help='Path to the dataset.')
    parser.add_argument('--path-metrics', help='Path to the CSV metrics file.')
    args = parser.parse_args(argv)

    return vars(args)


if __name__ == '__main__':
    import sys
    import logging

    pgrm_name, argv = sys.argv[0], sys.argv[1:]
    args = _parse_args(argv)

    try:
        main(**args)
        sys.exit(0)
    except Exception as e:
        logging.exception(e)
        sys.exit(1)