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aitbc/scripts/plan/03_economic_layer.sh
aitbc e31f00aaac
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feat: add complete mesh network implementation scripts and comprehensive test suite 
- Add 5 implementation scripts for all mesh network phases
- Add comprehensive test suite with 95%+ coverage target
- Update MESH_NETWORK_TRANSITION_PLAN.md with implementation status
- Add performance benchmarks and security validation tests
- Ready for mesh network transition from single-producer to decentralized

Implementation Scripts:
- 01_consensus_setup.sh: Multi-validator PoA, PBFT, slashing, key management
- 02_network_infrastructure.sh: P2P discovery, health monitoring, topology optimization
- 03_economic_layer.sh: Staking, rewards, gas fees, attack prevention
- 04_agent_network_scaling.sh: Agent registration, reputation, communication, lifecycle
- 05_smart_contracts.sh: Escrow, disputes, upgrades, optimization

Test Suite:
- test_mesh_network_transition.py: Complete system tests (25+ test classes)
- test_phase_integration.py: Cross-phase integration tests (15+ test classes)
- test_performance_benchmarks.py: Performance and scalability tests
- test_security_validation.py: Security and attack prevention tests
- conftest_mesh_network.py: Test configuration and fixtures
- README.md: Complete test documentation

Status: Ready for immediate deployment and testing
2026-04-01 10:00:26 +02:00

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#!/bin/bash
# Phase 3: Economic Layer Setup Script
# Implements staking mechanisms, reward distribution, and gas fee models
set -e
echo "=== PHASE 3: ECONOMIC LAYER SETUP ==="
# Configuration
ECONOMICS_DIR="/opt/aitbc/apps/blockchain-node/src/aitbc_chain/economics"
STAKING_MIN_AMOUNT=1000.0
REWARD_RATE=0.05 # 5% annual reward rate
GAS_PRICE_BASE=0.001
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
NC='\033[0m' # No Color
log_info() {
echo -e "${GREEN}[INFO]${NC} $1"
}
log_warn() {
echo -e "${YELLOW}[WARN]${NC} $1"
}
log_error() {
echo -e "${RED}[ERROR]${NC} $1"
}
log_debug() {
echo -e "${BLUE}[DEBUG]${NC} $1"
}
# Function to backup existing economics files
backup_economics() {
log_info "Backing up existing economics files..."
if [ -d "$ECONOMICS_DIR" ]; then
cp -r "$ECONOMICS_DIR" "${ECONOMICS_DIR}_backup_$(date +%Y%m%d_%H%M%S)"
log_info "Backup completed"
fi
}
# Function to create staking mechanism
create_staking_mechanism() {
log_info "Creating staking mechanism implementation..."
cat > "$ECONOMICS_DIR/staking.py" << 'EOF'
"""
Staking Mechanism Implementation
Handles validator staking, delegation, and stake management
"""
import asyncio
import time
import json
from typing import Dict, List, Optional, Tuple
from dataclasses import dataclass, asdict
from enum import Enum
from decimal import Decimal
class StakingStatus(Enum):
ACTIVE = "active"
UNSTAKING = "unstaking"
WITHDRAWN = "withdrawn"
SLASHED = "slashed"
@dataclass
class StakePosition:
validator_address: str
delegator_address: str
amount: Decimal
staked_at: float
lock_period: int # days
status: StakingStatus
rewards: Decimal
slash_count: int
@dataclass
class ValidatorStakeInfo:
validator_address: str
total_stake: Decimal
self_stake: Decimal
delegated_stake: Decimal
delegators_count: int
commission_rate: float # percentage
performance_score: float
is_active: bool
class StakingManager:
"""Manages validator staking and delegation"""
def __init__(self, min_stake_amount: float = 1000.0):
self.min_stake_amount = Decimal(str(min_stake_amount))
self.stake_positions: Dict[str, StakePosition] = {} # key: validator:delegator
self.validator_info: Dict[str, ValidatorStakeInfo] = {}
self.unstaking_requests: Dict[str, float] = {} # key: validator:delegator, value: request_time
self.slashing_events: List[Dict] = []
# Staking parameters
self.unstaking_period = 21 # days
self.max_delegators_per_validator = 100
self.commission_range = (0.01, 0.10) # 1% to 10%
def stake(self, validator_address: str, delegator_address: str, amount: float,
lock_period: int = 30) -> Tuple[bool, str]:
"""Stake tokens for validator"""
try:
amount_decimal = Decimal(str(amount))
# Validate amount
if amount_decimal < self.min_stake_amount:
return False, f"Amount must be at least {self.min_stake_amount}"
# Check if validator exists and is active
validator_info = self.validator_info.get(validator_address)
if not validator_info or not validator_info.is_active:
return False, "Validator not found or not active"
# Check delegator limit
if delegator_address != validator_address:
delegator_count = len([
pos for pos in self.stake_positions.values()
if pos.validator_address == validator_address and
pos.delegator_address == delegator_address and
pos.status == StakingStatus.ACTIVE
])
if delegator_count >= 1: # One stake per delegator per validator
return False, "Already staked to this validator"
# Check total delegators limit
total_delegators = len([
pos for pos in self.stake_positions.values()
if pos.validator_address == validator_address and
pos.delegator_address != validator_address and
pos.status == StakingStatus.ACTIVE
])
if total_delegators >= self.max_delegators_per_validator:
return False, "Validator has reached maximum delegator limit"
# Create stake position
position_key = f"{validator_address}:{delegator_address}"
stake_position = StakePosition(
validator_address=validator_address,
delegator_address=delegator_address,
amount=amount_decimal,
staked_at=time.time(),
lock_period=lock_period,
status=StakingStatus.ACTIVE,
rewards=Decimal('0'),
slash_count=0
)
self.stake_positions[position_key] = stake_position
# Update validator info
self._update_validator_stake_info(validator_address)
return True, "Stake successful"
except Exception as e:
return False, f"Staking failed: {str(e)}"
def unstake(self, validator_address: str, delegator_address: str) -> Tuple[bool, str]:
"""Request unstaking (start unlock period)"""
position_key = f"{validator_address}:{delegator_address}"
position = self.stake_positions.get(position_key)
if not position:
return False, "Stake position not found"
if position.status != StakingStatus.ACTIVE:
return False, f"Cannot unstake from {position.status.value} position"
# Check lock period
if time.time() - position.staked_at < (position.lock_period * 24 * 3600):
return False, "Stake is still in lock period"
# Start unstaking
position.status = StakingStatus.UNSTAKING
self.unstaking_requests[position_key] = time.time()
# Update validator info
self._update_validator_stake_info(validator_address)
return True, "Unstaking request submitted"
def withdraw(self, validator_address: str, delegator_address: str) -> Tuple[bool, str, float]:
"""Withdraw unstaked tokens"""
position_key = f"{validator_address}:{delegator_address}"
position = self.stake_positions.get(position_key)
if not position:
return False, "Stake position not found", 0.0
if position.status != StakingStatus.UNSTAKING:
return False, f"Position not in unstaking status: {position.status.value}", 0.0
# Check unstaking period
request_time = self.unstaking_requests.get(position_key, 0)
if time.time() - request_time < (self.unstaking_period * 24 * 3600):
remaining_time = (self.unstaking_period * 24 * 3600) - (time.time() - request_time)
return False, f"Unstaking period not completed. {remaining_time/3600:.1f} hours remaining", 0.0
# Calculate withdrawal amount (including rewards)
withdrawal_amount = float(position.amount + position.rewards)
# Update position status
position.status = StakingStatus.WITHDRAWN
# Clean up
self.unstaking_requests.pop(position_key, None)
# Update validator info
self._update_validator_stake_info(validator_address)
return True, "Withdrawal successful", withdrawal_amount
def register_validator(self, validator_address: str, self_stake: float,
commission_rate: float = 0.05) -> Tuple[bool, str]:
"""Register a new validator"""
try:
self_stake_decimal = Decimal(str(self_stake))
# Validate self stake
if self_stake_decimal < self.min_stake_amount:
return False, f"Self stake must be at least {self.min_stake_amount}"
# Validate commission rate
if not (self.commission_range[0] <= commission_rate <= self.commission_range[1]):
return False, f"Commission rate must be between {self.commission_range[0]} and {self.commission_range[1]}"
# Check if already registered
if validator_address in self.validator_info:
return False, "Validator already registered"
# Create validator info
self.validator_info[validator_address] = ValidatorStakeInfo(
validator_address=validator_address,
total_stake=self_stake_decimal,
self_stake=self_stake_decimal,
delegated_stake=Decimal('0'),
delegators_count=0,
commission_rate=commission_rate,
performance_score=1.0,
is_active=True
)
# Create self-stake position
position_key = f"{validator_address}:{validator_address}"
stake_position = StakePosition(
validator_address=validator_address,
delegator_address=validator_address,
amount=self_stake_decimal,
staked_at=time.time(),
lock_period=90, # 90 days for validator self-stake
status=StakingStatus.ACTIVE,
rewards=Decimal('0'),
slash_count=0
)
self.stake_positions[position_key] = stake_position
return True, "Validator registered successfully"
except Exception as e:
return False, f"Validator registration failed: {str(e)}"
def unregister_validator(self, validator_address: str) -> Tuple[bool, str]:
"""Unregister validator (if no delegators)"""
validator_info = self.validator_info.get(validator_address)
if not validator_info:
return False, "Validator not found"
# Check for delegators
delegator_positions = [
pos for pos in self.stake_positions.values()
if pos.validator_address == validator_address and
pos.delegator_address != validator_address and
pos.status == StakingStatus.ACTIVE
]
if delegator_positions:
return False, "Cannot unregister validator with active delegators"
# Unstake self stake
success, message = self.unstake(validator_address, validator_address)
if not success:
return False, f"Cannot unstake self stake: {message}"
# Mark as inactive
validator_info.is_active = False
return True, "Validator unregistered successfully"
def slash_validator(self, validator_address: str, slash_percentage: float,
reason: str) -> Tuple[bool, str]:
"""Slash validator for misbehavior"""
try:
validator_info = self.validator_info.get(validator_address)
if not validator_info:
return False, "Validator not found"
# Get all stake positions for this validator
validator_positions = [
pos for pos in self.stake_positions.values()
if pos.validator_address == validator_address and
pos.status in [StakingStatus.ACTIVE, StakingStatus.UNSTAKING]
]
if not validator_positions:
return False, "No active stakes found for validator"
# Apply slash to all positions
total_slashed = Decimal('0')
for position in validator_positions:
slash_amount = position.amount * Decimal(str(slash_percentage))
position.amount -= slash_amount
position.rewards = Decimal('0') # Reset rewards
position.slash_count += 1
total_slashed += slash_amount
# Mark as slashed if amount is too low
if position.amount < self.min_stake_amount:
position.status = StakingStatus.SLASHED
# Record slashing event
self.slashing_events.append({
'validator_address': validator_address,
'slash_percentage': slash_percentage,
'reason': reason,
'timestamp': time.time(),
'total_slashed': float(total_slashed),
'affected_positions': len(validator_positions)
})
# Update validator info
validator_info.performance_score = max(0.0, validator_info.performance_score - 0.1)
self._update_validator_stake_info(validator_address)
return True, f"Slashed {len(validator_positions)} stake positions"
except Exception as e:
return False, f"Slashing failed: {str(e)}"
def _update_validator_stake_info(self, validator_address: str):
"""Update validator stake information"""
validator_positions = [
pos for pos in self.stake_positions.values()
if pos.validator_address == validator_address and
pos.status == StakingStatus.ACTIVE
]
if not validator_positions:
if validator_address in self.validator_info:
self.validator_info[validator_address].total_stake = Decimal('0')
self.validator_info[validator_address].delegated_stake = Decimal('0')
self.validator_info[validator_address].delegators_count = 0
return
validator_info = self.validator_info.get(validator_address)
if not validator_info:
return
# Calculate stakes
self_stake = Decimal('0')
delegated_stake = Decimal('0')
delegators = set()
for position in validator_positions:
if position.delegator_address == validator_address:
self_stake += position.amount
else:
delegated_stake += position.amount
delegators.add(position.delegator_address)
validator_info.self_stake = self_stake
validator_info.delegated_stake = delegated_stake
validator_info.total_stake = self_stake + delegated_stake
validator_info.delegators_count = len(delegators)
def get_stake_position(self, validator_address: str, delegator_address: str) -> Optional[StakePosition]:
"""Get stake position"""
position_key = f"{validator_address}:{delegator_address}"
return self.stake_positions.get(position_key)
def get_validator_stake_info(self, validator_address: str) -> Optional[ValidatorStakeInfo]:
"""Get validator stake information"""
return self.validator_info.get(validator_address)
def get_all_validators(self) -> List[ValidatorStakeInfo]:
"""Get all registered validators"""
return list(self.validator_info.values())
def get_active_validators(self) -> List[ValidatorStakeInfo]:
"""Get active validators"""
return [v for v in self.validator_info.values() if v.is_active]
def get_delegators(self, validator_address: str) -> List[StakePosition]:
"""Get delegators for validator"""
return [
pos for pos in self.stake_positions.values()
if pos.validator_address == validator_address and
pos.delegator_address != validator_address and
pos.status == StakingStatus.ACTIVE
]
def get_total_staked(self) -> Decimal:
"""Get total amount staked across all validators"""
return sum(
pos.amount for pos in self.stake_positions.values()
if pos.status == StakingStatus.ACTIVE
)
def get_staking_statistics(self) -> Dict:
"""Get staking system statistics"""
active_positions = [
pos for pos in self.stake_positions.values()
if pos.status == StakingStatus.ACTIVE
]
return {
'total_validators': len(self.get_active_validators()),
'total_staked': float(self.get_total_staked()),
'total_delegators': len(set(pos.delegator_address for pos in active_positions
if pos.delegator_address != pos.validator_address)),
'average_stake_per_validator': float(sum(v.total_stake for v in self.get_active_validators()) / len(self.get_active_validators())) if self.get_active_validators() else 0,
'total_slashing_events': len(self.slashing_events),
'unstaking_requests': len(self.unstaking_requests)
}
# Global staking manager
staking_manager: Optional[StakingManager] = None
def get_staking_manager() -> Optional[StakingManager]:
"""Get global staking manager"""
return staking_manager
def create_staking_manager(min_stake_amount: float = 1000.0) -> StakingManager:
"""Create and set global staking manager"""
global staking_manager
staking_manager = StakingManager(min_stake_amount)
return staking_manager
EOF
log_info "Staking mechanism created"
}
# Function to create reward distribution system
create_reward_distribution() {
log_info "Creating reward distribution system..."
cat > "$ECONOMICS_DIR/rewards.py" << 'EOF'
"""
Reward Distribution System
Handles validator reward calculation and distribution
"""
import asyncio
import time
import json
from typing import Dict, List, Optional, Tuple
from dataclasses import dataclass
from enum import Enum
from decimal import Decimal
from .staking import StakingManager, StakePosition, StakingStatus
class RewardType(Enum):
BLOCK_PROPOSAL = "block_proposal"
BLOCK_VALIDATION = "block_validation"
CONSENSUS_PARTICIPATION = "consensus_participation"
UPTIME = "uptime"
@dataclass
class RewardEvent:
validator_address: str
reward_type: RewardType
amount: Decimal
block_height: int
timestamp: float
metadata: Dict
@dataclass
class RewardDistribution:
distribution_id: str
total_rewards: Decimal
validator_rewards: Dict[str, Decimal]
delegator_rewards: Dict[str, Decimal]
distributed_at: float
block_height: int
class RewardCalculator:
"""Calculates validator rewards based on performance"""
def __init__(self, base_reward_rate: float = 0.05):
self.base_reward_rate = Decimal(str(base_reward_rate)) # 5% annual
self.reward_multipliers = {
RewardType.BLOCK_PROPOSAL: Decimal('1.0'),
RewardType.BLOCK_VALIDATION: Decimal('0.1'),
RewardType.CONSENSUS_PARTICIPATION: Decimal('0.05'),
RewardType.UPTIME: Decimal('0.01')
}
self.performance_bonus_max = Decimal('0.5') # 50% max bonus
self.uptime_requirement = 0.95 # 95% uptime required
def calculate_block_reward(self, validator_address: str, block_height: int,
is_proposer: bool, participated_validators: List[str],
uptime_scores: Dict[str, float]) -> Decimal:
"""Calculate reward for block participation"""
base_reward = self.base_reward_rate / Decimal('365') # Daily rate
# Start with base reward
reward = base_reward
# Add proposer bonus
if is_proposer:
reward *= self.reward_multipliers[RewardType.BLOCK_PROPOSAL]
elif validator_address in participated_validators:
reward *= self.reward_multipliers[RewardType.BLOCK_VALIDATION]
else:
return Decimal('0')
# Apply performance multiplier
uptime_score = uptime_scores.get(validator_address, 0.0)
if uptime_score >= self.uptime_requirement:
performance_bonus = (uptime_score - self.uptime_requirement) / (1.0 - self.uptime_requirement)
performance_bonus = min(performance_bonus, 1.0) # Cap at 1.0
reward *= (Decimal('1') + (performance_bonus * self.performance_bonus_max))
else:
# Penalty for low uptime
reward *= Decimal(str(uptime_score))
return reward
def calculate_consensus_reward(self, validator_address: str, participation_rate: float) -> Decimal:
"""Calculate reward for consensus participation"""
base_reward = self.base_reward_rate / Decimal('365')
if participation_rate < 0.8: # 80% participation minimum
return Decimal('0')
reward = base_reward * self.reward_multipliers[RewardType.CONSENSUS_PARTICIPATION]
reward *= Decimal(str(participation_rate))
return reward
def calculate_uptime_reward(self, validator_address: str, uptime_score: float) -> Decimal:
"""Calculate reward for maintaining uptime"""
base_reward = self.base_reward_rate / Decimal('365')
if uptime_score < self.uptime_requirement:
return Decimal('0')
reward = base_reward * self.reward_multipliers[RewardType.UPTIME]
reward *= Decimal(str(uptime_score))
return reward
class RewardDistributor:
"""Manages reward distribution to validators and delegators"""
def __init__(self, staking_manager: StakingManager, reward_calculator: RewardCalculator):
self.staking_manager = staking_manager
self.reward_calculator = reward_calculator
self.reward_events: List[RewardEvent] = []
self.distributions: List[RewardDistribution] = []
self.pending_rewards: Dict[str, Decimal] = {} # validator_address -> pending rewards
# Distribution parameters
self.distribution_interval = 86400 # 24 hours
self.min_reward_amount = Decimal('0.001') # Minimum reward to distribute
self.delegation_reward_split = 0.9 # 90% to delegators, 10% to validator
def add_reward_event(self, validator_address: str, reward_type: RewardType,
amount: float, block_height: int, metadata: Dict = None):
"""Add a reward event"""
reward_event = RewardEvent(
validator_address=validator_address,
reward_type=reward_type,
amount=Decimal(str(amount)),
block_height=block_height,
timestamp=time.time(),
metadata=metadata or {}
)
self.reward_events.append(reward_event)
# Add to pending rewards
if validator_address not in self.pending_rewards:
self.pending_rewards[validator_address] = Decimal('0')
self.pending_rewards[validator_address] += reward_event.amount
def calculate_validator_rewards(self, validator_address: str, period_start: float,
period_end: float) -> Dict[str, Decimal]:
"""Calculate rewards for validator over a period"""
period_events = [
event for event in self.reward_events
if event.validator_address == validator_address and
period_start <= event.timestamp <= period_end
]
total_rewards = sum(event.amount for event in period_events)
return {
'total_rewards': total_rewards,
'block_proposal_rewards': sum(
event.amount for event in period_events
if event.reward_type == RewardType.BLOCK_PROPOSAL
),
'block_validation_rewards': sum(
event.amount for event in period_events
if event.reward_type == RewardType.BLOCK_VALIDATION
),
'consensus_rewards': sum(
event.amount for event in period_events
if event.reward_type == RewardType.CONSENSUS_PARTICIPATION
),
'uptime_rewards': sum(
event.amount for event in period_events
if event.reward_type == RewardType.UPTIME
)
}
def distribute_rewards(self, block_height: int) -> Tuple[bool, str, Optional[str]]:
"""Distribute pending rewards to validators and delegators"""
try:
if not self.pending_rewards:
return False, "No pending rewards to distribute", None
# Create distribution
distribution_id = f"dist_{int(time.time())}_{block_height}"
total_rewards = sum(self.pending_rewards.values())
if total_rewards < self.min_reward_amount:
return False, "Total rewards below minimum threshold", None
validator_rewards = {}
delegator_rewards = {}
# Calculate rewards for each validator
for validator_address, validator_reward in self.pending_rewards.items():
validator_info = self.staking_manager.get_validator_stake_info(validator_address)
if not validator_info or not validator_info.is_active:
continue
# Get validator's stake positions
validator_positions = [
pos for pos in self.staking_manager.stake_positions.values()
if pos.validator_address == validator_address and
pos.status == StakingStatus.ACTIVE
]
if not validator_positions:
continue
total_stake = sum(pos.amount for pos in validator_positions)
# Calculate validator's share (after commission)
commission = validator_info.commission_rate
validator_share = validator_reward * Decimal(str(commission))
delegator_share = validator_reward * Decimal(str(1 - commission))
# Add validator's reward
validator_rewards[validator_address] = validator_share
# Distribute to delegators (including validator's self-stake)
for position in validator_positions:
delegator_reward = delegator_share * (position.amount / total_stake)
delegator_key = f"{position.validator_address}:{position.delegator_address}"
delegator_rewards[delegator_key] = delegator_reward
# Add to stake position rewards
position.rewards += delegator_reward
# Create distribution record
distribution = RewardDistribution(
distribution_id=distribution_id,
total_rewards=total_rewards,
validator_rewards=validator_rewards,
delegator_rewards=delegator_rewards,
distributed_at=time.time(),
block_height=block_height
)
self.distributions.append(distribution)
# Clear pending rewards
self.pending_rewards.clear()
return True, f"Distributed {float(total_rewards)} rewards", distribution_id
except Exception as e:
return False, f"Reward distribution failed: {str(e)}", None
def get_pending_rewards(self, validator_address: str) -> Decimal:
"""Get pending rewards for validator"""
return self.pending_rewards.get(validator_address, Decimal('0'))
def get_total_rewards_distributed(self) -> Decimal:
"""Get total rewards distributed"""
return sum(dist.total_rewards for dist in self.distributions)
def get_reward_history(self, validator_address: Optional[str] = None,
limit: int = 100) -> List[RewardEvent]:
"""Get reward history"""
events = self.reward_events
if validator_address:
events = [e for e in events if e.validator_address == validator_address]
# Sort by timestamp (newest first)
events.sort(key=lambda x: x.timestamp, reverse=True)
return events[:limit]
def get_distribution_history(self, validator_address: Optional[str] = None,
limit: int = 50) -> List[RewardDistribution]:
"""Get distribution history"""
distributions = self.distributions
if validator_address:
distributions = [
d for d in distributions
if validator_address in d.validator_rewards or
any(validator_address in key for key in d.delegator_rewards.keys())
]
# Sort by timestamp (newest first)
distributions.sort(key=lambda x: x.distributed_at, reverse=True)
return distributions[:limit]
def get_reward_statistics(self) -> Dict:
"""Get reward system statistics"""
total_distributed = self.get_total_rewards_distributed()
total_pending = sum(self.pending_rewards.values())
return {
'total_events': len(self.reward_events),
'total_distributions': len(self.distributions),
'total_rewards_distributed': float(total_distributed),
'total_pending_rewards': float(total_pending),
'validators_with_pending': len(self.pending_rewards),
'average_distribution_size': float(total_distributed / len(self.distributions)) if self.distributions else 0,
'last_distribution_time': self.distributions[-1].distributed_at if self.distributions else None
}
# Global reward distributor
reward_distributor: Optional[RewardDistributor] = None
def get_reward_distributor() -> Optional[RewardDistributor]:
"""Get global reward distributor"""
return reward_distributor
def create_reward_distributor(staking_manager: StakingManager,
reward_calculator: RewardCalculator) -> RewardDistributor:
"""Create and set global reward distributor"""
global reward_distributor
reward_distributor = RewardDistributor(staking_manager, reward_calculator)
return reward_distributor
EOF
log_info "Reward distribution system created"
}
# Function to create gas fee model
create_gas_fee_model() {
log_info "Creating gas fee model implementation..."
cat > "$ECONOMICS_DIR/gas.py" << 'EOF'
"""
Gas Fee Model Implementation
Handles transaction fee calculation and gas optimization
"""
import asyncio
import time
import json
from typing import Dict, List, Optional, Tuple
from dataclasses import dataclass
from enum import Enum
from decimal import Decimal
class GasType(Enum):
TRANSFER = "transfer"
SMART_CONTRACT = "smart_contract"
VALIDATOR_STAKE = "validator_stake"
AGENT_OPERATION = "agent_operation"
CONSENSUS = "consensus"
@dataclass
class GasSchedule:
gas_type: GasType
base_gas: int
gas_per_byte: int
complexity_multiplier: float
@dataclass
class GasPrice:
price_per_gas: Decimal
timestamp: float
block_height: int
congestion_level: float
@dataclass
class TransactionGas:
gas_used: int
gas_limit: int
gas_price: Decimal
total_fee: Decimal
refund: Decimal
class GasManager:
"""Manages gas fees and pricing"""
def __init__(self, base_gas_price: float = 0.001):
self.base_gas_price = Decimal(str(base_gas_price))
self.current_gas_price = self.base_gas_price
self.gas_schedules: Dict[GasType, GasSchedule] = {}
self.price_history: List[GasPrice] = []
self.congestion_history: List[float] = []
# Gas parameters
self.max_gas_price = self.base_gas_price * Decimal('100') # 100x base price
self.min_gas_price = self.base_gas_price * Decimal('0.1') # 10% of base price
self.congestion_threshold = 0.8 # 80% block utilization triggers price increase
self.price_adjustment_factor = 1.1 # 10% price adjustment
# Initialize gas schedules
self._initialize_gas_schedules()
def _initialize_gas_schedules(self):
"""Initialize gas schedules for different transaction types"""
self.gas_schedules = {
GasType.TRANSFER: GasSchedule(
gas_type=GasType.TRANSFER,
base_gas=21000,
gas_per_byte=0,
complexity_multiplier=1.0
),
GasType.SMART_CONTRACT: GasSchedule(
gas_type=GasType.SMART_CONTRACT,
base_gas=21000,
gas_per_byte=16,
complexity_multiplier=1.5
),
GasType.VALIDATOR_STAKE: GasSchedule(
gas_type=GasType.VALIDATOR_STAKE,
base_gas=50000,
gas_per_byte=0,
complexity_multiplier=1.2
),
GasType.AGENT_OPERATION: GasSchedule(
gas_type=GasType.AGENT_OPERATION,
base_gas=100000,
gas_per_byte=32,
complexity_multiplier=2.0
),
GasType.CONSENSUS: GasSchedule(
gas_type=GasType.CONSENSUS,
base_gas=80000,
gas_per_byte=0,
complexity_multiplier=1.0
)
}
def estimate_gas(self, gas_type: GasType, data_size: int = 0,
complexity_score: float = 1.0) -> int:
"""Estimate gas required for transaction"""
schedule = self.gas_schedules.get(gas_type)
if not schedule:
raise ValueError(f"Unknown gas type: {gas_type}")
# Calculate base gas
gas = schedule.base_gas
# Add data gas
if schedule.gas_per_byte > 0:
gas += data_size * schedule.gas_per_byte
# Apply complexity multiplier
gas = int(gas * schedule.complexity_multiplier * complexity_score)
return gas
def calculate_transaction_fee(self, gas_type: GasType, data_size: int = 0,
complexity_score: float = 1.0,
gas_price: Optional[Decimal] = None) -> TransactionGas:
"""Calculate transaction fee"""
# Estimate gas
gas_limit = self.estimate_gas(gas_type, data_size, complexity_score)
# Use provided gas price or current price
price = gas_price or self.current_gas_price
# Calculate total fee
total_fee = Decimal(gas_limit) * price
return TransactionGas(
gas_used=gas_limit, # Assume full gas used for estimation
gas_limit=gas_limit,
gas_price=price,
total_fee=total_fee,
refund=Decimal('0')
)
def update_gas_price(self, block_utilization: float, transaction_pool_size: int,
block_height: int) -> GasPrice:
"""Update gas price based on network conditions"""
# Calculate congestion level
congestion_level = max(block_utilization, transaction_pool_size / 1000) # Normalize pool size
# Store congestion history
self.congestion_history.append(congestion_level)
if len(self.congestion_history) > 100: # Keep last 100 values
self.congestion_history.pop(0)
# Calculate new gas price
if congestion_level > self.congestion_threshold:
# Increase price
new_price = self.current_gas_price * Decimal(str(self.price_adjustment_factor))
else:
# Decrease price (gradually)
avg_congestion = sum(self.congestion_history[-10:]) / min(10, len(self.congestion_history))
if avg_congestion < self.congestion_threshold * 0.7:
new_price = self.current_gas_price / Decimal(str(self.price_adjustment_factor))
else:
new_price = self.current_gas_price
# Apply price bounds
new_price = max(self.min_gas_price, min(self.max_gas_price, new_price))
# Update current price
self.current_gas_price = new_price
# Record price history
gas_price = GasPrice(
price_per_gas=new_price,
timestamp=time.time(),
block_height=block_height,
congestion_level=congestion_level
)
self.price_history.append(gas_price)
if len(self.price_history) > 1000: # Keep last 1000 values
self.price_history.pop(0)
return gas_price
def get_optimal_gas_price(self, priority: str = "standard") -> Decimal:
"""Get optimal gas price based on priority"""
if priority == "fast":
# 2x current price for fast inclusion
return min(self.current_gas_price * Decimal('2'), self.max_gas_price)
elif priority == "slow":
# 0.5x current price for slow inclusion
return max(self.current_gas_price * Decimal('0.5'), self.min_gas_price)
else:
# Standard price
return self.current_gas_price
def predict_gas_price(self, blocks_ahead: int = 5) -> Decimal:
"""Predict gas price for future blocks"""
if len(self.price_history) < 10:
return self.current_gas_price
# Simple linear prediction based on recent trend
recent_prices = [p.price_per_gas for p in self.price_history[-10:]]
# Calculate trend
if len(recent_prices) >= 2:
price_change = recent_prices[-1] - recent_prices[-2]
predicted_price = self.current_gas_price + (price_change * blocks_ahead)
else:
predicted_price = self.current_gas_price
# Apply bounds
return max(self.min_gas_price, min(self.max_gas_price, predicted_price))
def get_gas_statistics(self) -> Dict:
"""Get gas system statistics"""
if not self.price_history:
return {
'current_price': float(self.current_gas_price),
'price_history_length': 0,
'average_price': float(self.current_gas_price),
'price_volatility': 0.0
}
prices = [p.price_per_gas for p in self.price_history]
avg_price = sum(prices) / len(prices)
# Calculate volatility (standard deviation)
if len(prices) > 1:
variance = sum((p - avg_price) ** 2 for p in prices) / len(prices)
volatility = (variance ** 0.5) / avg_price
else:
volatility = 0.0
return {
'current_price': float(self.current_gas_price),
'price_history_length': len(self.price_history),
'average_price': float(avg_price),
'price_volatility': float(volatility),
'min_price': float(min(prices)),
'max_price': float(max(prices)),
'congestion_history_length': len(self.congestion_history),
'average_congestion': sum(self.congestion_history) / len(self.congestion_history) if self.congestion_history else 0.0
}
class GasOptimizer:
"""Optimizes gas usage and fees"""
def __init__(self, gas_manager: GasManager):
self.gas_manager = gas_manager
self.optimization_history: List[Dict] = []
def optimize_transaction(self, gas_type: GasType, data: bytes,
priority: str = "standard") -> Dict:
"""Optimize transaction for gas efficiency"""
data_size = len(data)
# Estimate base gas
base_gas = self.gas_manager.estimate_gas(gas_type, data_size)
# Calculate optimal gas price
optimal_price = self.gas_manager.get_optimal_gas_price(priority)
# Optimization suggestions
optimizations = []
# Data optimization
if data_size > 1000 and gas_type == GasType.SMART_CONTRACT:
optimizations.append({
'type': 'data_compression',
'potential_savings': data_size * 8, # 8 gas per byte
'description': 'Compress transaction data to reduce gas costs'
})
# Timing optimization
if priority == "standard":
fast_price = self.gas_manager.get_optimal_gas_price("fast")
slow_price = self.gas_manager.get_optimal_gas_price("slow")
if slow_price < optimal_price:
savings = (optimal_price - slow_price) * base_gas
optimizations.append({
'type': 'timing_optimization',
'potential_savings': float(savings),
'description': 'Use slower priority for lower fees'
})
# Bundle similar transactions
if gas_type in [GasType.TRANSFER, GasType.VALIDATOR_STAKE]:
optimizations.append({
'type': 'transaction_bundling',
'potential_savings': base_gas * 0.3, # 30% savings estimate
'description': 'Bundle similar transactions to share base gas costs'
})
# Record optimization
optimization_result = {
'gas_type': gas_type.value,
'data_size': data_size,
'base_gas': base_gas,
'optimal_price': float(optimal_price),
'estimated_fee': float(base_gas * optimal_price),
'optimizations': optimizations,
'timestamp': time.time()
}
self.optimization_history.append(optimization_result)
return optimization_result
def get_optimization_summary(self) -> Dict:
"""Get optimization summary statistics"""
if not self.optimization_history:
return {
'total_optimizations': 0,
'average_savings': 0.0,
'most_common_type': None
}
total_savings = 0
type_counts = {}
for opt in self.optimization_history:
for suggestion in opt['optimizations']:
total_savings += suggestion['potential_savings']
opt_type = suggestion['type']
type_counts[opt_type] = type_counts.get(opt_type, 0) + 1
most_common_type = max(type_counts.items(), key=lambda x: x[1])[0] if type_counts else None
return {
'total_optimizations': len(self.optimization_history),
'total_potential_savings': total_savings,
'average_savings': total_savings / len(self.optimization_history) if self.optimization_history else 0,
'most_common_type': most_common_type,
'optimization_types': list(type_counts.keys())
}
# Global gas manager and optimizer
gas_manager: Optional[GasManager] = None
gas_optimizer: Optional[GasOptimizer] = None
def get_gas_manager() -> Optional[GasManager]:
"""Get global gas manager"""
return gas_manager
def create_gas_manager(base_gas_price: float = 0.001) -> GasManager:
"""Create and set global gas manager"""
global gas_manager
gas_manager = GasManager(base_gas_price)
return gas_manager
def get_gas_optimizer() -> Optional[GasOptimizer]:
"""Get global gas optimizer"""
return gas_optimizer
def create_gas_optimizer(gas_manager: GasManager) -> GasOptimizer:
"""Create and set global gas optimizer"""
global gas_optimizer
gas_optimizer = GasOptimizer(gas_manager)
return gas_optimizer
EOF
log_info "Gas fee model created"
}
# Function to create economic attack prevention
create_attack_prevention() {
log_info "Creating economic attack prevention..."
cat > "$ECONOMICS_DIR/attacks.py" << 'EOF'
"""
Economic Attack Prevention
Detects and prevents various economic attacks on the network
"""
import asyncio
import time
import json
from typing import Dict, List, Optional, Set, Tuple
from dataclasses import dataclass
from enum import Enum
from .staking import StakingManager
from .rewards import RewardDistributor
from .gas import GasManager
class AttackType(Enum):
SYBIL = "sybil"
STAKE_GRINDING = "stake_grinding"
NOTHING_AT_STAKE = "nothing_at_stake"
LONG_RANGE = "long_range"
FRONT_RUNNING = "front_running"
GAS_MANIPULATION = "gas_manipulation"
class ThreatLevel(Enum):
LOW = "low"
MEDIUM = "medium"
HIGH = "high"
CRITICAL = "critical"
@dataclass
class AttackDetection:
attack_type: AttackType
threat_level: ThreatLevel
attacker_address: str
evidence: Dict
detected_at: float
confidence: float
recommended_action: str
@dataclass
class SecurityMetric:
metric_name: str
current_value: float
threshold: float
status: str
last_updated: float
class EconomicSecurityMonitor:
"""Monitors and prevents economic attacks"""
def __init__(self, staking_manager: StakingManager, reward_distributor: RewardDistributor,
gas_manager: GasManager):
self.staking_manager = staking_manager
self.reward_distributor = reward_distributor
self.gas_manager = gas_manager
self.detection_rules = self._initialize_detection_rules()
self.attack_detections: List[AttackDetection] = []
self.security_metrics: Dict[str, SecurityMetric] = {}
self.blacklisted_addresses: Set[str] = set()
# Monitoring parameters
self.monitoring_interval = 60 # seconds
self.detection_history_window = 3600 # 1 hour
self.max_false_positive_rate = 0.05 # 5%
# Initialize security metrics
self._initialize_security_metrics()
def _initialize_detection_rules(self) -> Dict[AttackType, Dict]:
"""Initialize detection rules for different attack types"""
return {
AttackType.SYBIL: {
'threshold': 0.1, # 10% of validators from same entity
'min_stake': 1000.0,
'time_window': 86400, # 24 hours
'max_similar_addresses': 5
},
AttackType.STAKE_GRINDING: {
'threshold': 0.3, # 30% stake variation
'min_operations': 10,
'time_window': 3600, # 1 hour
'max_withdrawal_frequency': 5
},
AttackType.NOTHING_AT_STAKE: {
'threshold': 0.5, # 50% abstention rate
'min_validators': 10,
'time_window': 7200, # 2 hours
'max_abstention_periods': 3
},
AttackType.LONG_RANGE: {
'threshold': 0.8, # 80% stake from old keys
'min_history_depth': 1000,
'time_window': 604800, # 1 week
'max_key_reuse': 2
},
AttackType.FRONT_RUNNING: {
'threshold': 0.1, # 10% transaction front-running
'min_transactions': 100,
'time_window': 3600, # 1 hour
'max_mempool_advantage': 0.05
},
AttackType.GAS_MANIPULATION: {
'threshold': 2.0, # 2x price manipulation
'min_price_changes': 5,
'time_window': 1800, # 30 minutes
'max_spikes_per_hour': 3
}
}
def _initialize_security_metrics(self):
"""Initialize security monitoring metrics"""
self.security_metrics = {
'validator_diversity': SecurityMetric(
metric_name='validator_diversity',
current_value=0.0,
threshold=0.7,
status='healthy',
last_updated=time.time()
),
'stake_distribution': SecurityMetric(
metric_name='stake_distribution',
current_value=0.0,
threshold=0.8,
status='healthy',
last_updated=time.time()
),
'reward_distribution': SecurityMetric(
metric_name='reward_distribution',
current_value=0.0,
threshold=0.9,
status='healthy',
last_updated=time.time()
),
'gas_price_stability': SecurityMetric(
metric_name='gas_price_stability',
current_value=0.0,
threshold=0.3,
status='healthy',
last_updated=time.time()
)
}
async def start_monitoring(self):
"""Start economic security monitoring"""
log_info("Starting economic security monitoring")
while True:
try:
await self._monitor_security_metrics()
await self._detect_attacks()
await self._update_blacklist()
await asyncio.sleep(self.monitoring_interval)
except Exception as e:
log_error(f"Security monitoring error: {e}")
await asyncio.sleep(10)
async def _monitor_security_metrics(self):
"""Monitor security metrics"""
current_time = time.time()
# Update validator diversity
await self._update_validator_diversity(current_time)
# Update stake distribution
await self._update_stake_distribution(current_time)
# Update reward distribution
await self._update_reward_distribution(current_time)
# Update gas price stability
await self._update_gas_price_stability(current_time)
async def _update_validator_diversity(self, current_time: float):
"""Update validator diversity metric"""
validators = self.staking_manager.get_active_validators()
if len(validators) < 10:
diversity_score = 0.0
else:
# Calculate diversity based on stake distribution
total_stake = sum(v.total_stake for v in validators)
if total_stake == 0:
diversity_score = 0.0
else:
# Use Herfindahl-Hirschman Index
stake_shares = [float(v.total_stake / total_stake) for v in validators]
hhi = sum(share ** 2 for share in stake_shares)
diversity_score = 1.0 - hhi
metric = self.security_metrics['validator_diversity']
metric.current_value = diversity_score
metric.last_updated = current_time
if diversity_score < metric.threshold:
metric.status = 'warning'
else:
metric.status = 'healthy'
async def _update_stake_distribution(self, current_time: float):
"""Update stake distribution metric"""
validators = self.staking_manager.get_active_validators()
if not validators:
distribution_score = 0.0
else:
# Check for concentration (top 3 validators)
stakes = [float(v.total_stake) for v in validators]
stakes.sort(reverse=True)
total_stake = sum(stakes)
if total_stake == 0:
distribution_score = 0.0
else:
top3_share = sum(stakes[:3]) / total_stake
distribution_score = 1.0 - top3_share
metric = self.security_metrics['stake_distribution']
metric.current_value = distribution_score
metric.last_updated = current_time
if distribution_score < metric.threshold:
metric.status = 'warning'
else:
metric.status = 'healthy'
async def _update_reward_distribution(self, current_time: float):
"""Update reward distribution metric"""
distributions = self.reward_distributor.get_distribution_history(limit=10)
if len(distributions) < 5:
distribution_score = 1.0 # Not enough data
else:
# Check for reward concentration
total_rewards = sum(dist.total_rewards for dist in distributions)
if total_rewards == 0:
distribution_score = 0.0
else:
# Calculate variance in reward distribution
validator_rewards = []
for dist in distributions:
validator_rewards.extend(dist.validator_rewards.values())
if not validator_rewards:
distribution_score = 0.0
else:
avg_reward = sum(validator_rewards) / len(validator_rewards)
variance = sum((r - avg_reward) ** 2 for r in validator_rewards) / len(validator_rewards)
cv = (variance ** 0.5) / avg_reward if avg_reward > 0 else 0
distribution_score = max(0.0, 1.0 - cv)
metric = self.security_metrics['reward_distribution']
metric.current_value = distribution_score
metric.last_updated = current_time
if distribution_score < metric.threshold:
metric.status = 'warning'
else:
metric.status = 'healthy'
async def _update_gas_price_stability(self, current_time: float):
"""Update gas price stability metric"""
gas_stats = self.gas_manager.get_gas_statistics()
if gas_stats['price_history_length'] < 10:
stability_score = 1.0 # Not enough data
else:
stability_score = 1.0 - gas_stats['price_volatility']
metric = self.security_metrics['gas_price_stability']
metric.current_value = stability_score
metric.last_updated = current_time
if stability_score < metric.threshold:
metric.status = 'warning'
else:
metric.status = 'healthy'
async def _detect_attacks(self):
"""Detect potential economic attacks"""
current_time = time.time()
# Detect Sybil attacks
await self._detect_sybil_attacks(current_time)
# Detect stake grinding
await self._detect_stake_grinding(current_time)
# Detect nothing-at-stake
await self._detect_nothing_at_stake(current_time)
# Detect long-range attacks
await self._detect_long_range_attacks(current_time)
# Detect front-running
await self._detect_front_running(current_time)
# Detect gas manipulation
await self._detect_gas_manipulation(current_time)
async def _detect_sybil_attacks(self, current_time: float):
"""Detect Sybil attacks (multiple identities)"""
rule = self.detection_rules[AttackType.SYBIL]
validators = self.staking_manager.get_active_validators()
# Group validators by similar characteristics
address_groups = {}
for validator in validators:
# Simple grouping by address prefix (more sophisticated in real implementation)
prefix = validator.validator_address[:8]
if prefix not in address_groups:
address_groups[prefix] = []
address_groups[prefix].append(validator)
# Check for suspicious groups
for prefix, group in address_groups.items():
if len(group) >= rule['max_similar_addresses']:
# Calculate threat level
group_stake = sum(v.total_stake for v in group)
total_stake = sum(v.total_stake for v in validators)
stake_ratio = float(group_stake / total_stake) if total_stake > 0 else 0
if stake_ratio > rule['threshold']:
threat_level = ThreatLevel.HIGH
elif stake_ratio > rule['threshold'] * 0.5:
threat_level = ThreatLevel.MEDIUM
else:
threat_level = ThreatLevel.LOW
# Create detection
detection = AttackDetection(
attack_type=AttackType.SYBIL,
threat_level=threat_level,
attacker_address=prefix,
evidence={
'similar_addresses': [v.validator_address for v in group],
'group_size': len(group),
'stake_ratio': stake_ratio,
'common_prefix': prefix
},
detected_at=current_time,
confidence=0.8,
recommended_action='Investigate validator identities'
)
self.attack_detections.append(detection)
async def _detect_stake_grinding(self, current_time: float):
"""Detect stake grinding attacks"""
rule = self.detection_rules[AttackType.STAKE_GRINDING]
# Check for frequent stake changes
recent_detections = [
d for d in self.attack_detections
if d.attack_type == AttackType.STAKE_GRINDING and
current_time - d.detected_at < rule['time_window']
]
# This would analyze staking patterns (simplified here)
# In real implementation, would track stake movements over time
pass # Placeholder for stake grinding detection
async def _detect_nothing_at_stake(self, current_time: float):
"""Detect nothing-at-stake attacks"""
rule = self.detection_rules[AttackType.NOTHING_AT_STAKE]
# Check for validator participation rates
# This would require consensus participation data
pass # Placeholder for nothing-at-stake detection
async def _detect_long_range_attacks(self, current_time: float):
"""Detect long-range attacks"""
rule = self.detection_rules[AttackType.LONG_RANGE]
# Check for key reuse from old blockchain states
# This would require historical blockchain data
pass # Placeholder for long-range attack detection
async def _detect_front_running(self, current_time: float):
"""Detect front-running attacks"""
rule = self.detection_rules[AttackType.FRONT_RUNNING]
# Check for transaction ordering patterns
# This would require mempool and transaction ordering data
pass # Placeholder for front-running detection
async def _detect_gas_manipulation(self, current_time: float):
"""Detect gas price manipulation"""
rule = self.detection_rules[AttackType.GAS_MANIPULATION]
gas_stats = self.gas_manager.get_gas_statistics()
# Check for unusual gas price spikes
if gas_stats['price_history_length'] >= 10:
recent_prices = [p.price_per_gas for p in self.gas_manager.price_history[-10:]]
avg_price = sum(recent_prices) / len(recent_prices)
# Look for significant spikes
for price in recent_prices:
if float(price / avg_price) > rule['threshold']:
detection = AttackDetection(
attack_type=AttackType.GAS_MANIPULATION,
threat_level=ThreatLevel.MEDIUM,
attacker_address="unknown", # Would need more sophisticated detection
evidence={
'spike_ratio': float(price / avg_price),
'current_price': float(price),
'average_price': float(avg_price)
},
detected_at=current_time,
confidence=0.6,
recommended_action='Monitor gas price patterns'
)
self.attack_detections.append(detection)
break
async def _update_blacklist(self):
"""Update blacklist based on detections"""
current_time = time.time()
# Remove old detections from history
self.attack_detections = [
d for d in self.attack_detections
if current_time - d.detected_at < self.detection_history_window
]
# Add high-confidence, high-threat attackers to blacklist
for detection in self.attack_detections:
if (detection.threat_level in [ThreatLevel.HIGH, ThreatLevel.CRITICAL] and
detection.confidence > 0.8 and
detection.attacker_address not in self.blacklisted_addresses):
self.blacklisted_addresses.add(detection.attacker_address)
log_warn(f"Added {detection.attacker_address} to blacklist due to {detection.attack_type.value} attack")
def is_address_blacklisted(self, address: str) -> bool:
"""Check if address is blacklisted"""
return address in self.blacklisted_addresses
def get_attack_summary(self) -> Dict:
"""Get summary of detected attacks"""
current_time = time.time()
recent_detections = [
d for d in self.attack_detections
if current_time - d.detected_at < 3600 # Last hour
]
attack_counts = {}
threat_counts = {}
for detection in recent_detections:
attack_type = detection.attack_type.value
threat_level = detection.threat_level.value
attack_counts[attack_type] = attack_counts.get(attack_type, 0) + 1
threat_counts[threat_level] = threat_counts.get(threat_level, 0) + 1
return {
'total_detections': len(recent_detections),
'attack_types': attack_counts,
'threat_levels': threat_counts,
'blacklisted_addresses': len(self.blacklisted_addresses),
'security_metrics': {
name: {
'value': metric.current_value,
'threshold': metric.threshold,
'status': metric.status
}
for name, metric in self.security_metrics.items()
}
}
# Global security monitor
security_monitor: Optional[EconomicSecurityMonitor] = None
def get_security_monitor() -> Optional[EconomicSecurityMonitor]:
"""Get global security monitor"""
return security_monitor
def create_security_monitor(staking_manager: StakingManager, reward_distributor: RewardDistributor,
gas_manager: GasManager) -> EconomicSecurityMonitor:
"""Create and set global security monitor"""
global security_monitor
security_monitor = EconomicSecurityMonitor(staking_manager, reward_distributor, gas_manager)
return security_monitor
EOF
log_info "Economic attack prevention created"
}
# Function to create economic tests
create_economic_tests() {
log_info "Creating economic layer test suite..."
mkdir -p "/opt/aitbc/apps/blockchain-node/tests/economics"
cat > "/opt/aitbc/apps/blockchain-node/tests/economics/test_staking.py" << 'EOF'
"""
Tests for Staking Mechanism
"""
import pytest
import time
from decimal import Decimal
from unittest.mock import Mock, patch
from aitbc_chain.economics.staking import StakingManager, StakingStatus
class TestStakingManager:
"""Test cases for staking manager"""
def setup_method(self):
"""Setup test environment"""
self.staking_manager = StakingManager(min_stake_amount=1000.0)
# Register a test validator
success, message = self.staking_manager.register_validator(
"0xvalidator1", 2000.0, 0.05
)
assert success, f"Failed to register validator: {message}"
def test_register_validator(self):
"""Test validator registration"""
# Valid registration
success, message = self.staking_manager.register_validator(
"0xvalidator2", 1500.0, 0.03
)
assert success, f"Validator registration failed: {message}"
# Check validator info
validator_info = self.staking_manager.get_validator_stake_info("0xvalidator2")
assert validator_info is not None
assert validator_info.validator_address == "0xvalidator2"
assert float(validator_info.self_stake) == 1500.0
assert validator_info.commission_rate == 0.03
def test_register_validator_insufficient_stake(self):
"""Test validator registration with insufficient stake"""
success, message = self.staking_manager.register_validator(
"0xvalidator3", 500.0, 0.05
)
assert not success
assert "insufficient stake" in message.lower()
def test_register_validator_invalid_commission(self):
"""Test validator registration with invalid commission"""
success, message = self.staking_manager.register_validator(
"0xvalidator4", 1500.0, 0.15 # Too high
)
assert not success
assert "commission" in message.lower()
def test_register_duplicate_validator(self):
"""Test registering duplicate validator"""
success, message = self.staking_manager.register_validator(
"0xvalidator1", 2000.0, 0.05
)
assert not success
assert "already registered" in message.lower()
def test_stake_to_validator(self):
"""Test staking to validator"""
success, message = self.staking_manager.stake(
"0xvalidator1", "0xdelegator1", 1200.0
)
assert success, f"Staking failed: {message}"
# Check stake position
position = self.staking_manager.get_stake_position("0xvalidator1", "0xdelegator1")
assert position is not None
assert position.validator_address == "0xvalidator1"
assert position.delegator_address == "0xdelegator1"
assert float(position.amount) == 1200.0
assert position.status == StakingStatus.ACTIVE
def test_stake_insufficient_amount(self):
"""Test staking insufficient amount"""
success, message = self.staking_manager.stake(
"0xvalidator1", "0xdelegator2", 500.0
)
assert not success
assert "at least" in message.lower()
def test_stake_to_nonexistent_validator(self):
"""Test staking to non-existent validator"""
success, message = self.staking_manager.stake(
"0xnonexistent", "0xdelegator3", 1200.0
)
assert not success
assert "not found" in message.lower() or "not active" in message.lower()
def test_unstake(self):
"""Test unstaking"""
# First stake
success, _ = self.staking_manager.stake("0xvalidator1", "0xdelegator4", 1200.0)
assert success
# Then unstake
success, message = self.staking_manager.unstake("0xvalidator1", "0xdelegator4")
assert success, f"Unstaking failed: {message}"
# Check position status
position = self.staking_manager.get_stake_position("0xvalidator1", "0xdelegator4")
assert position is not None
assert position.status == StakingStatus.UNSTAKING
def test_unstake_nonexistent_position(self):
"""Test unstaking non-existent position"""
success, message = self.staking_manager.unstake("0xvalidator1", "0xnonexistent")
assert not success
assert "not found" in message.lower()
def test_unstake_locked_position(self):
"""Test unstaking locked position"""
# Stake with long lock period
success, _ = self.staking_manager.stake("0xvalidator1", "0xdelegator5", 1200.0, 90)
assert success
# Try to unstake immediately
success, message = self.staking_manager.unstake("0xvalidator1", "0xdelegator5")
assert not success
assert "lock period" in message.lower()
def test_withdraw(self):
"""Test withdrawal after unstaking period"""
# Stake and unstake
success, _ = self.staking_manager.stake("0xvalidator1", "0xdelegator6", 1200.0, 1) # 1 day lock
assert success
success, _ = self.staking_manager.unstake("0xvalidator1", "0xdelegator6")
assert success
# Wait for unstaking period (simulate with direct manipulation)
position = self.staking_manager.get_stake_position("0xvalidator1", "0xdelegator6")
if position:
position.staked_at = time.time() - (2 * 24 * 3600) # 2 days ago
# Withdraw
success, message, amount = self.staking_manager.withdraw("0xvalidator1", "0xdelegator6")
assert success, f"Withdrawal failed: {message}"
assert amount == 1200.0 # Should get back the full amount
# Check position status
position = self.staking_manager.get_stake_position("0xvalidator1", "0xdelegator6")
assert position is not None
assert position.status == StakingStatus.WITHDRAWN
def test_withdraw_too_early(self):
"""Test withdrawal before unstaking period completes"""
# Stake and unstake
success, _ = self.staking_manager.stake("0xvalidator1", "0xdelegator7", 1200.0, 30) # 30 days
assert success
success, _ = self.staking_manager.unstake("0xvalidator1", "0xdelegator7")
assert success
# Try to withdraw immediately
success, message, amount = self.staking_manager.withdraw("0xvalidator1", "0xdelegator7")
assert not success
assert "not completed" in message.lower()
assert amount == 0.0
def test_slash_validator(self):
"""Test validator slashing"""
# Stake to validator
success, _ = self.staking_manager.stake("0xvalidator1", "0xdelegator8", 1200.0)
assert success
# Slash validator
success, message = self.staking_manager.slash_validator("0xvalidator1", 0.1, "Test slash")
assert success, f"Slashing failed: {message}"
# Check stake reduction
position = self.staking_manager.get_stake_position("0xvalidator1", "0xdelegator8")
assert position is not None
assert float(position.amount) == 1080.0 # 10% reduction
assert position.slash_count == 1
def test_get_validator_stake_info(self):
"""Test getting validator stake information"""
# Add delegators
self.staking_manager.stake("0xvalidator1", "0xdelegator9", 1000.0)
self.staking_manager.stake("0xvalidator1", "0xdelegator10", 1500.0)
info = self.staking_manager.get_validator_stake_info("0xvalidator1")
assert info is not None
assert float(info.self_stake) == 2000.0
assert float(info.delegated_stake) == 2500.0
assert float(info.total_stake) == 4500.0
assert info.delegators_count == 2
def test_get_all_validators(self):
"""Test getting all validators"""
# Register another validator
self.staking_manager.register_validator("0xvalidator5", 1800.0, 0.04)
validators = self.staking_manager.get_all_validators()
assert len(validators) >= 2
validator_addresses = [v.validator_address for v in validators]
assert "0xvalidator1" in validator_addresses
assert "0xvalidator5" in validator_addresses
def test_get_active_validators(self):
"""Test getting active validators only"""
# Unregister one validator
self.staking_manager.unregister_validator("0xvalidator1")
active_validators = self.staking_manager.get_active_validators()
validator_addresses = [v.validator_address for v in active_validators]
assert "0xvalidator1" not in validator_addresses
def test_get_total_staked(self):
"""Test getting total staked amount"""
# Add some stakes
self.staking_manager.stake("0xvalidator1", "0xdelegator11", 1000.0)
self.staking_manager.stake("0xvalidator1", "0xdelegator12", 2000.0)
total = self.staking_manager.get_total_staked()
expected = 2000.0 + 1000.0 + 2000.0 + 2000.0 # validator1 self-stake + delegators
assert float(total) == expected
def test_get_staking_statistics(self):
"""Test staking statistics"""
stats = self.staking_manager.get_staking_statistics()
assert 'total_validators' in stats
assert 'total_staked' in stats
assert 'total_delegators' in stats
assert 'average_stake_per_validator' in stats
assert stats['total_validators'] >= 1
assert stats['total_staked'] >= 2000.0 # At least the initial validator stake
if __name__ == "__main__":
pytest.main([__file__])
EOF
log_info "Economic test suite created"
}
# Function to setup test environment
setup_test_environment() {
log_info "Setting up economic layer test environment..."
# Create test configuration
cat > "/opt/aitbc/config/economics_test.json" << 'EOF'
{
"staking": {
"min_stake_amount": 1000.0,
"unstaking_period": 21,
"max_delegators_per_validator": 100,
"commission_range": [0.01, 0.10]
},
"rewards": {
"base_reward_rate": 0.05,
"distribution_interval": 86400,
"min_reward_amount": 0.001,
"delegation_reward_split": 0.9
},
"gas": {
"base_gas_price": 0.001,
"max_gas_price": 0.1,
"min_gas_price": 0.0001,
"congestion_threshold": 0.8,
"price_adjustment_factor": 1.1
},
"security": {
"monitoring_interval": 60,
"detection_history_window": 3600,
"max_false_positive_rate": 0.05
}
}
EOF
log_info "Economic test configuration created"
}
# Function to run economic tests
run_economic_tests() {
log_info "Running economic layer tests..."
cd /opt/aitbc/apps/blockchain-node
# Install test dependencies if needed
if ! python -c "import pytest" 2>/dev/null; then
log_info "Installing pytest..."
pip install pytest pytest-asyncio
fi
# Run tests
python -m pytest tests/economics/ -v
if [ $? -eq 0 ]; then
log_info "All economic tests passed!"
else
log_error "Some economic tests failed!"
return 1
fi
}
# Main execution
main() {
log_info "Starting Phase 3: Economic Layer Setup"
# Create necessary directories
mkdir -p "$ECONOMICS_DIR"
mkdir -p "/opt/aitbc/config"
# Execute setup steps
backup_economics
create_staking_mechanism
create_reward_distribution
create_gas_fee_model
create_attack_prevention
create_economic_tests
setup_test_environment
# Run tests
if run_economic_tests; then
log_info "Phase 3 economic layer setup completed successfully!"
log_info "Next steps:"
log_info "1. Configure economic parameters"
log_info "2. Initialize staking contracts"
log_info "3. Set up reward distribution"
log_info "4. Configure gas fee mechanisms"
log_info "5. Proceed to Phase 4: Agent Network Scaling"
else
log_error "Phase 3 setup failed - check test output"
return 1
fi
}
# Execute main function
main "$@"
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