"""Evaluate saved GUI action predictions against dataset references.

Prediction records contain a zero-based `_idx` and the model response in
`prediction`. The response uses <action> and <parameters> tags, with an optional
<ui_reasoning> block. An `error` field records an inference failure.
"""
import argparse
from pathlib import Path

if __package__:
    from .metrics import ScoringError, score_predictions, write_json, write_jsonl
else:
    from metrics import ScoringError, score_predictions, write_json, write_jsonl


def main():
    parser = argparse.ArgumentParser(description='Evaluate CAD GUI action predictions.')
    parser.add_argument(
        '--dataset', type=Path,
        default=Path(__file__).resolve().parent.parent / 'GUI/annotations/test_final.jsonl.gz',
        help='Reference dataset in JSONL or JSONL.GZ format.',
    )
    parser.add_argument('--predictions', type=Path, required=True,
                        help='JSONL or JSONL.GZ records with _idx and prediction fields.')
    parser.add_argument('--output-dir', type=Path, required=True,
                        help='Directory for metrics.json and details.jsonl.')
    parser.add_argument('--start-index', type=int, default=0)
    parser.add_argument('--limit', type=int, default=0, help='Maximum reference rows. Zero selects all remaining rows.')
    parser.add_argument('--num-shards', type=int, default=1)
    parser.add_argument('--shard-index', type=int, default=0)
    args = parser.parse_args()

    try:
        summary, details = score_predictions(
            args.dataset, args.predictions, start_index=args.start_index,
            limit=args.limit, num_shards=args.num_shards, shard_index=args.shard_index,
        )
        write_json(args.output_dir / 'metrics.json', summary)
        write_jsonl(args.output_dir / 'details.jsonl', details)
    except (ScoringError, OSError) as error:
        parser.exit(1, f'Evaluation failed: {error}\n')

    by_action = summary['by_gt_action']
    main_metrics = [
        ('Action Acc.', summary['metrics']['action_accuracy']),
        ('Click Param. Acc.', by_action.get('click', {}).get('parameter_accuracy')),
        ('Double-click Param. Acc.', by_action.get('double_click', {}).get('parameter_accuracy')),
        ('Input Param. Acc.', by_action.get('type', {}).get('parameter_accuracy')),
        ('Step Acc.', summary['metrics']['step_accuracy']),
    ]
    for label, value in main_metrics:
        displayed = 'N/A' if value is None else f'{value * 100:.2f}%'
        print(f'{label:<25} {displayed}')
    print(f'Results saved to {args.output_dir.resolve()}')


if __name__ == '__main__':
    main()