statistics.py

import Levenshtein
import numpy as np
import pandas as pd
import plotly.figure_factory as ff


def get_statistics(start_msg, end_msg, annotated_msg):
    edit_ops = Levenshtein.editops(start_msg, end_msg)
    n_deletes = sum([1 if op == 'delete' else 0 for op, _, _ in edit_ops])
    n_inserts = sum([1 if op == 'insert' else 0 for op, _, _ in edit_ops])
    n_replaces = sum([1 if op == 'replace' else 0 for op, _, _ in edit_ops])

    n_changes = n_deletes + n_inserts + n_replaces
    n_deletes += n_replaces
    n_inserts += n_replaces

    return {
        "deletions": n_deletes,
        "insertions": n_inserts,
        "changes": n_changes,

        "deletions_norm": n_deletes / len(start_msg),
        "insertions_norm": n_inserts / len(end_msg),
        "changes_norm": n_changes / len(end_msg),
    }


def get_statistics_for_df(df: pd.DataFrame):
    stats = [get_statistics(row["commit_msg_start"], row["commit_msg_end"], row["annotated_diff"]) for _, row in
             df.iterrows()]

    assert len(stats) > 0

    return {stat_name: np.asarray([e[stat_name] for e in stats]) for stat_name in stats[0]}


def build_plotly_chart(stat_golden, stat_e2s, stat_s2e, stat_e2s_s2e, stat_name):
    hist_data = [stat_golden, stat_e2s, stat_s2e, stat_e2s_s2e,
                 np.concatenate((stat_e2s, stat_s2e, stat_e2s_s2e), axis=0)]

    group_labels = ['Golden', 'e2s', 's2e', 'e2s+s 2e', 'Synthetic']

    fig = ff.create_distplot(hist_data, group_labels,
                             bin_size=.1, show_rug=False, show_hist=True)

    fig.update_layout(title_text=stat_name)

    return fig