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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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 | """
Parameter Generator - Generate random values for question parameters
This module provides functionality to generate random values for different
parameter types within reasonable and realistic ranges.
"""
import random
from typing import Dict, Any, List
from decimal import Decimal
from eth_account import Account
class ParameterGenerator:
"""Generate random parameter values based on configuration"""
def __init__(self, seed: int = None, environment=None):
"""
Initialize parameter generator
Args:
seed: Random seed for reproducibility (optional)
environment: QuestEnvironment instance for accessing deployed contracts
"""
if seed is not None:
random.seed(seed)
self.environment = environment
def generate_parameters(self, param_config: Dict[str, Any]) -> Dict[str, Any]:
"""
Generate random values for all parameters based on configuration
Args:
param_config: Parameter configuration dictionary
Returns:
Dictionary of parameter names to generated values
"""
result = {}
for param_name, config in param_config.items():
param_type = config.get('type')
generation_config = config.get('generation', {})
if param_type == 'address':
result[param_name] = self._generate_address(generation_config)
elif param_type == 'number':
result[param_name] = self._generate_number(generation_config)
elif param_type == 'string':
result[param_name] = self._generate_string(generation_config)
elif param_type == 'integer':
result[param_name] = self._generate_integer(generation_config)
elif param_type == 'boolean':
result[param_name] = self._generate_boolean(generation_config)
else:
raise ValueError(f"Unsupported parameter type: {param_type}")
return result
def _generate_address(self, config: Dict[str, Any]) -> str:
"""
Generate a random Ethereum address
Args:
config: Generation configuration
- method: 'random', 'fixed', 'from_list', or 'from_env'
- value: Fixed address value (if method is 'fixed')
- addresses: List of addresses (if method is 'from_list')
- env_key: Key to lookup in environment (if method is 'from_env')
Returns:
Ethereum address (checksummed)
"""
method = config.get('method', 'random')
if method == 'fixed':
# Return fixed address value
return config.get('value', '')
elif method == 'random':
# Generate a new random account
account = Account.create()
return account.address
elif method == 'from_list':
# Choose from predefined list
addresses = config.get('addresses', [])
if not addresses:
raise ValueError("No addresses provided in configuration")
return random.choice(addresses)
elif method == 'from_env':
# Get from environment (e.g., deployed contract address)
env_key = config.get('env_key')
if not env_key:
raise ValueError("env_key not provided for from_env method")
# If environment not available yet, return a placeholder
# This will be replaced later when environment is ready
if not self.environment:
# Generate a placeholder address
placeholder = Account.create()
return placeholder.address
# Get the address from environment
address = getattr(self.environment, env_key, None)
if not address:
raise ValueError(f"Address not found in environment: {env_key}")
return address
elif method == 'agent_address':
# Return the test account address (agent's own address)
if self.environment and hasattr(self.environment, 'test_address'):
return self.environment.test_address
else:
# Generate a placeholder if environment not available
placeholder = Account.create()
return placeholder.address
else:
raise ValueError(f"Unsupported address generation method: {method}")
def _generate_number(self, config: Dict[str, Any]) -> float:
"""
Generate a number (float or int)
Args:
config: Generation configuration
- method: 'fixed' or 'random' (default: 'random')
- value: Fixed value if method is 'fixed'
- min: Minimum value (default: 0.001)
- max: Maximum value (default: 1.0)
- decimals: Number of decimal places (default: 3)
- unit: Unit of measurement (e.g., 'BNB', 'ETH')
Returns:
Number value (float or int)
"""
from decimal import Decimal, ROUND_HALF_UP
method = config.get('method', 'random')
if method == 'fixed':
return config.get('value', 0)
# Random generation
min_val = config.get('min', 0.001)
max_val = config.get('max', 1.0)
decimals = config.get('decimals', 3)
# Generate random value using Decimal for precision
# This avoids floating point precision issues when converting to wei
min_decimal = Decimal(str(min_val))
max_decimal = Decimal(str(max_val))
# Generate random decimal
random_decimal = min_decimal + (max_decimal - min_decimal) * Decimal(str(random.random()))
# Round to specified decimals
quantize_value = Decimal(10) ** -decimals
rounded = random_decimal.quantize(quantize_value, rounding=ROUND_HALF_UP)
# Convert back to float
return float(rounded)
def _generate_integer(self, config: Dict[str, Any]) -> int:
"""
Generate a random integer
Args:
config: Generation configuration
- method: 'random', 'fixed', or 'from_list'
- value: Fixed value (if method is 'fixed')
- values: List of values to choose from (if method is 'from_list')
- min: Minimum value (default: 1)
- max: Maximum value (default: 100)
Returns:
Random integer value, fixed value, or value from list
"""
method = config.get('method', 'random')
if method == 'fixed':
return config.get('value', 0)
if method == 'from_list':
values = config.get('values', [])
if not values:
raise ValueError("from_list method requires 'values' list")
return random.choice(values)
# Random method
min_val = config.get('min', 1)
max_val = config.get('max', 100)
return random.randint(min_val, max_val)
def _generate_string(self, config: Dict[str, Any]) -> str:
"""
Generate a random string
Args:
config: Generation configuration
- method: 'from_list' or 'random'
- values: List of possible values (if method is 'from_list')
- length: String length (if method is 'random')
- charset: Character set (if method is 'random')
Returns:
Random string value
"""
method = config.get('method', 'from_list')
if method == 'fixed':
# Return fixed string value
return config.get('value', '')
elif method == 'from_list':
values = config.get('values', [])
if not values:
raise ValueError("No values provided in configuration")
return random.choice(values)
elif method == 'random':
length = config.get('length', 10)
charset = config.get('charset', 'alphanumeric')
if charset == 'alphanumeric':
import string
chars = string.ascii_letters + string.digits
elif charset == 'alphanumeric_space':
import string
chars = string.ascii_letters + string.digits + ' '
elif charset == 'alpha':
import string
chars = string.ascii_letters
elif charset == 'numeric':
import string
chars = string.digits
else:
chars = charset
return ''.join(random.choice(chars) for _ in range(length))
else:
raise ValueError(f"Unsupported string generation method: {method}")
def _generate_boolean(self, config: Dict[str, Any]) -> bool:
"""
Generate a boolean value
Args:
config: Generation configuration
- method: 'fixed' or 'random' (default: 'random')
- value: Fixed value if method is 'fixed'
- probability: Probability of True (default: 0.5) if method is 'random'
Returns:
Boolean value
"""
method = config.get('method', 'random')
if method == 'fixed':
return config.get('value', False)
else:
# Random generation
probability = config.get('probability', 0.5)
return random.random() < probability
def format_parameter_value(value: Any, param_config: Dict[str, Any]) -> str:
"""
Format a parameter value for TypeScript code injection
IMPORTANT: This function formats values for direct injection into TypeScript code.
For numeric values that will be passed to ethers.parseEther() or ethers.parseUnits(),
we must return ONLY the numeric string WITHOUT units (e.g., "0.024", not "0.024 BNB").
Args:
value: The parameter value
param_config: Parameter configuration
Returns:
Formatted string representation (pure value, no units for numbers)
"""
param_type = param_config.get('type')
if param_type == 'number':
# Return pure numeric string WITHOUT units
# Units are for documentation only, not for code injection
# Example: "0.024" (not "0.024 BNB") so ethers.parseEther('0.024') works
return str(value)
elif param_type == 'address':
# Address as-is
return str(value)
elif param_type == 'integer':
# Return pure integer string WITHOUT units
# Example: "18" (not "18 decimals")
return str(value)
elif param_type == 'boolean':
# Convert Python True/False to JavaScript true/false (lowercase)
return 'true' if value else 'false'
else:
return str(value)
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