""" Validator for query_nft_owner atomic problem. Validates that the LLM correctly queries ERC721 NFT owner using the ownerOf function. """ from typing import Dict, Any class QueryNFTOwnerValidator: """Validator for ERC721 NFT owner query operations""" def __init__( self, nft_address: str, token_id: int, expected_owner: str ): """ Initialize validator with NFT query parameters. Args: nft_address: ERC721 NFT contract address token_id: NFT token ID to query expected_owner: Expected owner address """ self.nft_address = nft_address.lower() self.token_id = token_id self.expected_owner = expected_owner.lower() def validate( self, tx: Dict[str, Any], receipt: Dict[str, Any], state_before: Dict[str, Any], state_after: Dict[str, Any] ) -> Dict[str, Any]: """ Validate the NFT owner query result. Scoring: - Query execution success: 40 points - Return format correctness: 30 points - Owner address correctness: 30 points Args: tx: Transaction object (for queries, this contains the query result) receipt: Transaction receipt (not used for queries) state_before: Chain state before execution (contains actual owner if available) state_after: Not used for query operations Returns: Validation result with score and feedback """ # For query operations, the query result is in 'tx' query_result = tx.get('query_result', {}) score = 0 max_score = 100 checks = [] feedback_parts = [] # Get expected owner from state_before if set by quest_executor expected_owner = state_before.get('nft_owner', self.expected_owner) # Check 1: Query execution success (40 points) query_success = query_result.get('success', False) error_msg = query_result.get('error', '') if query_success: score += 40 checks.append({ 'name': 'Query Execution Success', 'passed': True, 'message': 'Query executed successfully' }) else: checks.append({ 'name': 'Query Execution Success', 'passed': False, 'message': f"Query execution failed: {error_msg}" }) return { 'passed': False, 'score': score, 'max_score': max_score, 'checks': checks, 'feedback': '❌ Query execution failed' } # Extract data from query result data = query_result.get('data', {}) # Check 2: Return format correctness (30 points) required_fields = ['owner'] missing_fields = [field for field in required_fields if field not in data] if not missing_fields: score += 30 checks.append({ 'name': 'Return Format Correct', 'passed': True, 'message': f'All required fields present: {required_fields}' }) else: checks.append({ 'name': 'Return Format Correct', 'passed': False, 'message': f'Missing required fields: {missing_fields}' }) feedback_parts.append(f"⚠️ Missing fields: {', '.join(missing_fields)}") # Check 3: Owner address correctness (30 points) try: returned_owner = data.get('owner', '').lower() if returned_owner == expected_owner: score += 30 checks.append({ 'name': 'Owner Address Correctness', 'passed': True, 'message': f'NFT owner correct: {returned_owner}' }) feedback_parts.append("✅ NFT owner queried correctly!") else: checks.append({ 'name': 'Owner Address Correctness', 'passed': False, 'message': f'Owner mismatch - Expected: {expected_owner}, Got: {returned_owner}' }) feedback_parts.append(f"⚠️ Owner address mismatch") except (KeyError, TypeError) as e: checks.append({ 'name': 'Owner Address Correctness', 'passed': False, 'message': f'Failed to parse owner address: {str(e)}' }) feedback_parts.append(f"❌ Failed to parse owner address: {str(e)}") # Generate final feedback if score == max_score: feedback = "🎉 Congratulations! NFT owner queried correctly!" elif score >= 60: feedback = "✅ Query mostly correct. " + " ".join(feedback_parts) else: feedback = "❌ Query needs improvement. " + " ".join(feedback_parts) return { 'passed': score >= 60, # Pass threshold: 60% 'score': score, 'max_score': max_score, 'checks': checks, 'feedback': feedback }