File size: 2,652 Bytes
75ea5f2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | """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()
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