#!/usr/bin/env python3
"""Summarize exported reply features. Luke Steuber, 2026. MIT."""
from pathlib import Path
import argparse
import pandas as pd


def main():
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument(
        "--data-dir",
        type=Path,
        default=Path(__file__).resolve().parents[1] / "data",
    )
    args = parser.parse_args()
    replies = pd.read_parquet(args.data_dir / "reply_features.parquet")
    by_post = replies.groupby("post_id").agg(
        captured_replies=("post_id", "size"),
        median_delay_hours=("delay_hours", "median"),
        replies_with_text=("has_captured_text", "sum"),
    )
    topic_columns = [c for c in replies.columns if c.startswith("topic_")]
    rates = replies[topic_columns].mean().mul(1000).sort_values(ascending=False)
    print(by_post.to_string())
    print("\nLiteral topic matches per 1,000 captured replies (overlapping patterns)")
    print(rates.to_string())


if __name__ == "__main__":
    main()