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benchmark
code-generation
transaction-code-generation
execution-grounded-evaluation
blockchain
evm
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edbc049 | 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 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 | """
Query BNB Balance Validator
Validate correctness of BNB balance query operation
"""
from typing import Dict, Any, List
class QueryBNBBalanceValidator:
"""Query BNB Balance Validator"""
def __init__(self, query_address: str, expected_balance: float = None, **kwargs):
"""
Initialize validator
Args:
query_address: Address to query balance for
expected_balance: Expected balance (not used in validation, set via Anvil)
"""
self.query_address = query_address.lower()
self.max_score = 100
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 query result
Args:
tx: Transaction object (for queries, this contains the query result)
receipt: Transaction receipt (not used for queries)
state_before: State before query
state_after: State after query
Returns:
Validation result dictionary
"""
checks = []
score = 0
# For query operations, the result is stored in the tx object
# with a special structure: { "query_result": { ... } }
query_result = tx.get('query_result', {})
# Check 1: Query executed successfully (30 points)
query_success = query_result.get('success', False)
error_msg = query_result.get('error', '')
checks.append({
'name': 'Query Execution Success',
'passed': query_success,
'message': 'Query executed successfully' if query_success else f'Query failed: {error_msg}',
'score': 30 if query_success else 0
})
if query_success:
score += 30
else:
# If query failed, return early
return {
'passed': False,
'score': score,
'max_score': self.max_score,
'checks': checks,
'feedback': self._generate_feedback(checks, score, False),
'details': {
'query_address': self.query_address,
'error': error_msg
}
}
# Check 2: Return format correct (30 points)
# Expected format: { balance_wei: string, balance_bnb: string }
returned_data = query_result.get('data', {})
has_balance_wei = 'balance_wei' in returned_data
has_balance_bnb = 'balance_bnb' in returned_data
format_correct = has_balance_wei
format_score = 30 if format_correct else 0
checks.append({
'name': 'Return Format Correct',
'passed': format_correct,
'message': f"Expected 'balance_wei' field in result. Got: {list(returned_data.keys())}",
'score': format_score
})
if format_correct:
score += format_score
else:
# If format is incorrect, can't validate correctness
return {
'passed': False,
'score': score,
'max_score': self.max_score,
'checks': checks,
'feedback': self._generate_feedback(checks, score, False),
'details': {
'query_address': self.query_address,
'returned_keys': list(returned_data.keys())
}
}
# Check 3: Balance value correctness (40 points)
# Compare returned balance with actual chain state
returned_balance_wei = returned_data.get('balance_wei', '')
# Get actual balance from state_before (captured before query)
actual_balance_wei = state_before.get('balance', 0)
try:
# Convert returned balance to int
if isinstance(returned_balance_wei, str):
if returned_balance_wei.startswith('0x'):
returned_balance = int(returned_balance_wei, 16)
else:
returned_balance = int(returned_balance_wei)
else:
returned_balance = int(returned_balance_wei)
# Balance should match exactly
balance_correct = returned_balance == actual_balance_wei
checks.append({
'name': 'Balance Correctness',
'passed': balance_correct,
'message': f"Expected: {actual_balance_wei} wei ({actual_balance_wei / 10**18:.6f} BNB), "
f"Got: {returned_balance} wei ({returned_balance / 10**18:.6f} BNB)",
'score': 40 if balance_correct else 0
})
if balance_correct:
score += 40
balance_value_for_details = returned_balance
except (ValueError, TypeError) as e:
checks.append({
'name': 'Balance Correctness',
'passed': False,
'message': f"Failed to parse balance value: {e}",
'score': 0
})
balance_value_for_details = None
# Determine if passed
passed = all(check['passed'] for check in checks)
# Generate feedback
feedback = self._generate_feedback(checks, score, passed)
return {
'passed': passed,
'score': score,
'max_score': self.max_score,
'checks': checks,
'feedback': feedback,
'details': {
'query_address': self.query_address,
'expected_balance_wei': actual_balance_wei,
'expected_balance_bnb': actual_balance_wei / 10**18,
'returned_balance_wei': balance_value_for_details,
'returned_balance_bnb': balance_value_for_details / 10**18 if balance_value_for_details else None
}
}
def _generate_feedback(
self,
checks: List[Dict[str, Any]],
score: int,
passed: bool
) -> str:
"""
Generate feedback message
Args:
checks: List of check items
score: Total score
passed: Whether validation passed
Returns:
Feedback string
"""
lines = []
if passed:
lines.append("🎉 Congratulations! Balance query executed correctly!")
lines.append(f"Final Score: {score}/{self.max_score}")
else:
lines.append("❌ Query validation failed, please check the following issues:")
failed_checks = [c for c in checks if not c['passed']]
for check in failed_checks:
lines.append(f" - {check['name']}: {check['message']}")
lines.append(f"\nCurrent Score: {score}/{self.max_score}")
return '\n'.join(lines)
|