Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
json
Languages:
English
Size:
< 1K
ArXiv:
Tags:
benchmark
code-generation
transaction-code-generation
execution-grounded-evaluation
blockchain
evm
License:
File size: 5,606 Bytes
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 | """
Validator for query_nft_balance atomic problem.
Validates that the LLM correctly queries ERC721 NFT balance.
"""
from typing import Dict, Any
class QueryNFTBalanceValidator:
"""Validator for ERC721 NFT balance query operations"""
def __init__(
self,
nft_address: str,
query_address: str,
expected_balance: int
):
"""
Initialize validator with NFT balance query parameters.
Args:
nft_address: ERC721 NFT contract address
query_address: Address to query balance for
expected_balance: Expected NFT balance count
"""
self.nft_address = nft_address.lower()
self.query_address = query_address.lower()
self.expected_balance = expected_balance
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 balance query result.
Scoring:
- Query execution success: 40 points
- Return format correctness: 30 points
- Balance 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 balance 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 balance from state_before if set by quest_executor
expected_balance = state_before.get('nft_balance', self.expected_balance)
# 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 = ['balance']
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: Balance correctness (30 points)
try:
returned_balance = data.get('balance', 0)
if isinstance(returned_balance, str):
returned_balance = int(returned_balance)
else:
returned_balance = int(returned_balance)
if returned_balance == expected_balance:
score += 30
checks.append({
'name': 'Balance Correctness',
'passed': True,
'message': f'NFT balance correct: {returned_balance} NFTs'
})
feedback_parts.append("✅ NFT balance queried correctly!")
else:
checks.append({
'name': 'Balance Correctness',
'passed': False,
'message': f'Balance mismatch - Expected: {expected_balance}, Got: {returned_balance}'
})
feedback_parts.append(f"⚠️ Balance mismatch")
except (ValueError, KeyError, TypeError) as e:
checks.append({
'name': 'Balance Correctness',
'passed': False,
'message': f'Failed to parse balance: {str(e)}'
})
feedback_parts.append(f"❌ Failed to parse balance: {str(e)}")
# Generate final feedback
if score == max_score:
feedback = "🎉 Congratulations! NFT balance 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
}
|