amazon-acsa-dashboard / scripts /08_explain.py
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"""Script 08: Generate XAI report (cross-attention + IG + drilldown plots)."""
import argparse
import sys
from pathlib import Path
import pandas as pd
sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
from src.utils import setup_logging
from src import config as cfg
from src.explainer import explain_examples
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--n_examples", type=int, default=10)
parser.add_argument("--method", choices=["ig", "attention"], default="ig",
help="ig = Integrated Gradients (needs captum); "
"attention = BERT [CLS]-attention (no extra deps).")
args = parser.parse_args()
setup_logging()
test_df = pd.read_parquet(cfg.TEST_PATH)
print(f"Generating {args.method} explanations for {args.n_examples} examples...")
out = cfg.REPORT_DIR / f"explanation_{args.method}.html"
explain_examples(test_df, n_examples=args.n_examples, method=args.method,
output_path=out)
# also produce the cheap attention-only version as a fallback view
if args.method == "ig":
out2 = cfg.REPORT_DIR / "explanation_attention.html"
explain_examples(test_df, n_examples=args.n_examples, method="attention",
output_path=out2)
print(f"\nDone. Open reports/explanation_*.html in your browser.")
if __name__ == "__main__":
main()