""" Validator for query_staked_amount atomic problem. Validates that the LLM correctly queries the staked amount using the staking contract's userInfo function. """ from typing import Dict, Any, Optional class QueryStakedAmountValidator: """Validator for staking contract staked amount query operations""" def __init__( self, pool_address: str, query_address: str, expected_staked_amount: float, token_decimals: int = 18 ): """ Initialize validator with staking query parameters. Args: pool_address: SimpleStaking contract address query_address: User address to query staked amount for expected_staked_amount: Expected staked amount (in token units) token_decimals: Token decimals (default: 18 for CAKE) """ self.pool_address = pool_address.lower() self.query_address = query_address.lower() self.expected_staked_amount = expected_staked_amount self.token_decimals = token_decimals 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 staked amount query result. Scoring: - Query execution success: 30 points - Return format correctness: 30 points - Staked amount correctness: 40 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 staked amount 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 staked amount from state_before if set by quest_executor expected_staked_amount_wei = state_before.get('staked_amount') if expected_staked_amount_wei is None: # Calculate from expected_staked_amount parameter from decimal import Decimal expected_staked_amount_wei = int(Decimal(str(self.expected_staked_amount)) * Decimal(10**self.token_decimals)) # Check 1: Query execution success (30 points) query_success = query_result.get('success', False) error_msg = query_result.get('error', '') if query_success: score += 30 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 = ['staked_amount', 'deposit_time'] 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: Staked amount correctness (40 points) try: # Parse staked amount from query result returned_staked_amount = data.get('staked_amount', '0') if isinstance(returned_staked_amount, str): returned_staked_amount_wei = int(returned_staked_amount) else: returned_staked_amount_wei = int(returned_staked_amount) # Check if amounts match (with 1% tolerance for rounding) if expected_staked_amount_wei > 0: amount_diff_percent = abs(returned_staked_amount_wei - expected_staked_amount_wei) / expected_staked_amount_wei * 100 else: # If expected is 0, check if returned is also 0 amount_diff_percent = 0 if returned_staked_amount_wei == 0 else 100 if amount_diff_percent <= 1: score += 40 checks.append({ 'name': 'Staked Amount Correctness', 'passed': True, 'message': f'Staked amount: {returned_staked_amount_wei} wei ({returned_staked_amount_wei / 10**self.token_decimals:.6f} tokens)' }) feedback_parts.append("✅ Staked amount queried correctly!") else: partial_score = max(0, int(40 * (1 - amount_diff_percent / 10))) score += partial_score checks.append({ 'name': 'Staked Amount Correctness', 'passed': False, 'message': f'Amount mismatch - Expected: {expected_staked_amount_wei} wei, Got: {returned_staked_amount_wei} wei (diff: {amount_diff_percent:.2f}%)' }) feedback_parts.append(f"⚠️ Staked amount difference: {amount_diff_percent:.2f}%") except (ValueError, KeyError, TypeError) as e: checks.append({ 'name': 'Staked Amount Correctness', 'passed': False, 'message': f'Failed to parse staked amount: {str(e)}' }) feedback_parts.append(f"❌ Failed to parse staked amount: {str(e)}") # Generate final feedback if score == max_score: feedback = "🎉 Congratulations! Staked amount 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 }