"""Inspect task statements, evaluation entry points and pinned environments.""" from pathlib import Path import argparse import json import re import subprocess from common import load_task from statement_text import read_problem_statement ROOT = Path(__file__).resolve().parents[1] def entries(): return {entry['instance_id']: entry for entry in json.loads( (ROOT / 'data/evaluation-entrypoints.json').read_text())['instances']} def support(entry): if entry['candidate_support'] == 'explicit_static_API_available': return 'candidate_api_detected' return 'instance_specific' def task_row(instance_id): with (ROOT / 'data/crossswe-bench.jsonl').open() as stream: for line in stream: row = json.loads(line) if row['instance_id'] == instance_id: return row raise ValueError('Task is absent from the dataset table') def main(): parser = argparse.ArgumentParser(description=__doc__) parser.add_argument('command', choices=['list', 'show', 'statement', 'image', 'pull', 'shell', 'evaluator']) parser.add_argument('--instance-id') parser.add_argument('--candidate-support', choices=['all', 'detected', 'manual'], default='all', help='Filter list by statically detected API or instance-specific instructions') parser.add_argument('--format', choices=['json', 'text'], default='json', help='Output format for evaluator inspection; never executes an evaluator') args = parser.parse_args() records = [json.loads(line) for line in (ROOT / 'data/images.jsonl').read_text().splitlines()] table = {row['instance_id']: row for row in records} if args.command == 'list': index = entries() if args.candidate_support != 'all' else None for row in records: if index is not None: detected = support(index[row['instance_id']]) == 'candidate_api_detected' if detected != (args.candidate_support == 'detected'): continue print(row['instance_id']) return if args.instance_id not in table: parser.error('Provide a canonical --instance-id from the list command') row = table[args.instance_id] image = row['image_ref'] if not re.fullmatch(r'silinchen0617/crossrepo-bench@sha256:[0-9a-f]{64}', image): raise ValueError('The image must use its pinned registry digest') if args.command == 'image': print(image) elif args.command == 'statement': print(read_problem_statement(load_task(args.instance_id)), end='') elif args.command == 'evaluator': entry = entries()[args.instance_id] if args.format == 'json': print(json.dumps(entry, indent=2)) else: print('Instance: ' + args.instance_id) print('Evaluation support: ' + support(entry)) if entry.get('candidate_entry'): print('Candidate entry: ' + entry['candidate_entry']) print('Interface detected by static inspection; runtime requirements still apply.') else: print('Use the instance contract and instructions; no verified candidate API is indexed.') print('Contract: instances/' + args.instance_id + '/evaluation/contract.json') for path in entry.get('documentation', []): print('Documentation: ' + path) if not entry.get('documentation'): print('Environment metadata: ' + entry['image_json']) if entry.get('candidate_required_runtime_inputs'): print('Additional runtime inputs: ' + ', '.join(entry['candidate_required_runtime_inputs'])) print('Directory: docs/evaluators.md') elif args.command == 'show': task = load_task(args.instance_id) record = task_row(args.instance_id) print(json.dumps({**row, 'repositories': task['repositories'], 'statement_file': 'statements/' + args.instance_id + '.md', 'PASS_TO_PASS_count': record['PASS_TO_PASS_count'], 'FAIL_TO_PASS_count': record['FAIL_TO_PASS_count'], 'evaluation_support': record['evaluation_support'], 'evaluation_contract': 'instances/' + args.instance_id + '/' + task['evaluation']['path']}, indent=2)) elif args.command == 'pull': subprocess.run(['docker', 'pull', '--platform', 'linux/amd64', image], check=True) else: subprocess.run(['docker', 'run', '--rm', '-it', '--platform', 'linux/amd64', '--network=none', '--entrypoint=/bin/bash', image], check=True) if __name__ == '__main__': main()