"""Smoke test py-feat AU + emotion detection on bundled sample faces.

Verifies py-feat installs cleanly on macOS, downloads its model
weights, and returns AU intensities that look sane for the labelled
sample faces (e.g. Happy.png should fire AU 6 / AU 12).

Run from repo root: `uv run python scratch/smoke_pyfeat.py`
"""

from __future__ import annotations

import sys
from pathlib import Path

ROOT = Path(__file__).parent.parent


def main() -> None:
    from feat import Detector

    detector = Detector(
        face_model="retinaface",
        landmark_model="mobilefacenet",
        au_model="xgb",
        emotion_model="resmasknet",
        facepose_model="img2pose",
        device="cpu",
    )

    images_dir = ROOT / "images"
    samples = sorted(
        p for p in images_dir.glob("*.png")
        if p.stem not in {"LMLLOGO", "LMLOBS"}
    )

    for sample in samples:
        print(f"\n=== {sample.name} ===")
        try:
            result = detector.detect_image(str(sample))
        except Exception as exc:
            print(f"  FAILED: {exc}")
            continue

        aus = result.aus()
        emotions = result.emotions()

        if aus.empty:
            print("  no face detected")
            continue

        au_row = aus.iloc[0].sort_values(ascending=False)
        top_aus = au_row[au_row > 0.5].head(6)
        print("  top AUs (>0.5):")
        for au, score in top_aus.items():
            print(f"    {au:>6}  {score:.2f}")

        emo_row = emotions.iloc[0]
        ranked = emo_row.sort_values(ascending=False)
        print("  emotions:")
        for emo, p in ranked.items():
            print(f"    {emo:<10} {p:.3f}")


if __name__ == "__main__":
    main()