chore(security): enhance environment configuration, CI workflows, and wallet daemon with security improvements

- Restructure .env.example with security-focused documentation, service-specific environment file references, and AWS Secrets Manager integration
- Update CLI tests workflow to single Python 3.13 version, add pytest-mock dependency, and consolidate test execution with coverage
- Add comprehensive security validation to package publishing workflow with manual approval gates, secret scanning, and release
This commit is contained in:
oib
2026-03-03 10:33:46 +01:00
parent 00d00cb964
commit f353e00172
220 changed files with 42506 additions and 921 deletions

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"""
AITBC Agent Wallet Security Implementation
This module implements the security layer for autonomous agent wallets,
integrating the guardian contract to prevent unlimited spending in case
of agent compromise.
"""
from typing import Dict, List, Optional, Tuple
from dataclasses import dataclass
from datetime import datetime, timedelta
import json
from eth_account import Account
from eth_utils import to_checksum_address
from .guardian_contract import (
GuardianContract,
SpendingLimit,
TimeLockConfig,
GuardianConfig,
create_guardian_contract,
CONSERVATIVE_CONFIG,
AGGRESSIVE_CONFIG,
HIGH_SECURITY_CONFIG
)
@dataclass
class AgentSecurityProfile:
"""Security profile for an agent"""
agent_address: str
security_level: str # "conservative", "aggressive", "high_security"
guardian_addresses: List[str]
custom_limits: Optional[Dict] = None
enabled: bool = True
created_at: datetime = None
def __post_init__(self):
if self.created_at is None:
self.created_at = datetime.utcnow()
class AgentWalletSecurity:
"""
Security manager for autonomous agent wallets
"""
def __init__(self):
self.agent_profiles: Dict[str, AgentSecurityProfile] = {}
self.guardian_contracts: Dict[str, GuardianContract] = {}
self.security_events: List[Dict] = []
# Default configurations
self.configurations = {
"conservative": CONSERVATIVE_CONFIG,
"aggressive": AGGRESSIVE_CONFIG,
"high_security": HIGH_SECURITY_CONFIG
}
def register_agent(self,
agent_address: str,
security_level: str = "conservative",
guardian_addresses: List[str] = None,
custom_limits: Dict = None) -> Dict:
"""
Register an agent for security protection
Args:
agent_address: Agent wallet address
security_level: Security level (conservative, aggressive, high_security)
guardian_addresses: List of guardian addresses for recovery
custom_limits: Custom spending limits (overrides security_level)
Returns:
Registration result
"""
try:
agent_address = to_checksum_address(agent_address)
if agent_address in self.agent_profiles:
return {
"status": "error",
"reason": "Agent already registered"
}
# Validate security level
if security_level not in self.configurations:
return {
"status": "error",
"reason": f"Invalid security level: {security_level}"
}
# Default guardians if none provided
if guardian_addresses is None:
guardian_addresses = [agent_address] # Self-guardian (should be overridden)
# Validate guardian addresses
guardian_addresses = [to_checksum_address(addr) for addr in guardian_addresses]
# Create security profile
profile = AgentSecurityProfile(
agent_address=agent_address,
security_level=security_level,
guardian_addresses=guardian_addresses,
custom_limits=custom_limits
)
# Create guardian contract
config = self.configurations[security_level]
if custom_limits:
config.update(custom_limits)
guardian_contract = create_guardian_contract(
agent_address=agent_address,
guardians=guardian_addresses,
**config
)
# Store profile and contract
self.agent_profiles[agent_address] = profile
self.guardian_contracts[agent_address] = guardian_contract
# Log security event
self._log_security_event(
event_type="agent_registered",
agent_address=agent_address,
security_level=security_level,
guardian_count=len(guardian_addresses)
)
return {
"status": "registered",
"agent_address": agent_address,
"security_level": security_level,
"guardian_addresses": guardian_addresses,
"limits": guardian_contract.config.limits,
"time_lock_threshold": guardian_contract.config.time_lock.threshold,
"registered_at": profile.created_at.isoformat()
}
except Exception as e:
return {
"status": "error",
"reason": f"Registration failed: {str(e)}"
}
def protect_transaction(self,
agent_address: str,
to_address: str,
amount: int,
data: str = "") -> Dict:
"""
Protect a transaction with guardian contract
Args:
agent_address: Agent wallet address
to_address: Recipient address
amount: Amount to transfer
data: Transaction data
Returns:
Protection result
"""
try:
agent_address = to_checksum_address(agent_address)
# Check if agent is registered
if agent_address not in self.agent_profiles:
return {
"status": "unprotected",
"reason": "Agent not registered for security protection",
"suggestion": "Register agent with register_agent() first"
}
# Check if protection is enabled
profile = self.agent_profiles[agent_address]
if not profile.enabled:
return {
"status": "unprotected",
"reason": "Security protection disabled for this agent"
}
# Get guardian contract
guardian_contract = self.guardian_contracts[agent_address]
# Initiate transaction protection
result = guardian_contract.initiate_transaction(to_address, amount, data)
# Log security event
self._log_security_event(
event_type="transaction_protected",
agent_address=agent_address,
to_address=to_address,
amount=amount,
protection_status=result["status"]
)
return result
except Exception as e:
return {
"status": "error",
"reason": f"Transaction protection failed: {str(e)}"
}
def execute_protected_transaction(self,
agent_address: str,
operation_id: str,
signature: str) -> Dict:
"""
Execute a previously protected transaction
Args:
agent_address: Agent wallet address
operation_id: Operation ID from protection
signature: Transaction signature
Returns:
Execution result
"""
try:
agent_address = to_checksum_address(agent_address)
if agent_address not in self.guardian_contracts:
return {
"status": "error",
"reason": "Agent not registered"
}
guardian_contract = self.guardian_contracts[agent_address]
result = guardian_contract.execute_transaction(operation_id, signature)
# Log security event
if result["status"] == "executed":
self._log_security_event(
event_type="transaction_executed",
agent_address=agent_address,
operation_id=operation_id,
transaction_hash=result.get("transaction_hash")
)
return result
except Exception as e:
return {
"status": "error",
"reason": f"Transaction execution failed: {str(e)}"
}
def emergency_pause_agent(self, agent_address: str, guardian_address: str) -> Dict:
"""
Emergency pause an agent's operations
Args:
agent_address: Agent wallet address
guardian_address: Guardian address initiating pause
Returns:
Pause result
"""
try:
agent_address = to_checksum_address(agent_address)
guardian_address = to_checksum_address(guardian_address)
if agent_address not in self.guardian_contracts:
return {
"status": "error",
"reason": "Agent not registered"
}
guardian_contract = self.guardian_contracts[agent_address]
result = guardian_contract.emergency_pause(guardian_address)
# Log security event
if result["status"] == "paused":
self._log_security_event(
event_type="emergency_pause",
agent_address=agent_address,
guardian_address=guardian_address
)
return result
except Exception as e:
return {
"status": "error",
"reason": f"Emergency pause failed: {str(e)}"
}
def update_agent_security(self,
agent_address: str,
new_limits: Dict,
guardian_address: str) -> Dict:
"""
Update security limits for an agent
Args:
agent_address: Agent wallet address
new_limits: New spending limits
guardian_address: Guardian address making the change
Returns:
Update result
"""
try:
agent_address = to_checksum_address(agent_address)
guardian_address = to_checksum_address(guardian_address)
if agent_address not in self.guardian_contracts:
return {
"status": "error",
"reason": "Agent not registered"
}
guardian_contract = self.guardian_contracts[agent_address]
# Create new spending limits
limits = SpendingLimit(
per_transaction=new_limits.get("per_transaction", 1000),
per_hour=new_limits.get("per_hour", 5000),
per_day=new_limits.get("per_day", 20000),
per_week=new_limits.get("per_week", 100000)
)
result = guardian_contract.update_limits(limits, guardian_address)
# Log security event
if result["status"] == "updated":
self._log_security_event(
event_type="security_limits_updated",
agent_address=agent_address,
guardian_address=guardian_address,
new_limits=new_limits
)
return result
except Exception as e:
return {
"status": "error",
"reason": f"Security update failed: {str(e)}"
}
def get_agent_security_status(self, agent_address: str) -> Dict:
"""
Get security status for an agent
Args:
agent_address: Agent wallet address
Returns:
Security status
"""
try:
agent_address = to_checksum_address(agent_address)
if agent_address not in self.agent_profiles:
return {
"status": "not_registered",
"message": "Agent not registered for security protection"
}
profile = self.agent_profiles[agent_address]
guardian_contract = self.guardian_contracts[agent_address]
return {
"status": "protected",
"agent_address": agent_address,
"security_level": profile.security_level,
"enabled": profile.enabled,
"guardian_addresses": profile.guardian_addresses,
"registered_at": profile.created_at.isoformat(),
"spending_status": guardian_contract.get_spending_status(),
"pending_operations": guardian_contract.get_pending_operations(),
"recent_activity": guardian_contract.get_operation_history(10)
}
except Exception as e:
return {
"status": "error",
"reason": f"Status check failed: {str(e)}"
}
def list_protected_agents(self) -> List[Dict]:
"""List all protected agents"""
agents = []
for agent_address, profile in self.agent_profiles.items():
guardian_contract = self.guardian_contracts[agent_address]
agents.append({
"agent_address": agent_address,
"security_level": profile.security_level,
"enabled": profile.enabled,
"guardian_count": len(profile.guardian_addresses),
"pending_operations": len(guardian_contract.pending_operations),
"paused": guardian_contract.paused,
"emergency_mode": guardian_contract.emergency_mode,
"registered_at": profile.created_at.isoformat()
})
return sorted(agents, key=lambda x: x["registered_at"], reverse=True)
def get_security_events(self, agent_address: str = None, limit: int = 50) -> List[Dict]:
"""
Get security events
Args:
agent_address: Filter by agent address (optional)
limit: Maximum number of events
Returns:
Security events
"""
events = self.security_events
if agent_address:
agent_address = to_checksum_address(agent_address)
events = [e for e in events if e.get("agent_address") == agent_address]
return sorted(events, key=lambda x: x["timestamp"], reverse=True)[:limit]
def _log_security_event(self, **kwargs):
"""Log a security event"""
event = {
"timestamp": datetime.utcnow().isoformat(),
**kwargs
}
self.security_events.append(event)
def disable_agent_protection(self, agent_address: str, guardian_address: str) -> Dict:
"""
Disable protection for an agent (guardian only)
Args:
agent_address: Agent wallet address
guardian_address: Guardian address
Returns:
Disable result
"""
try:
agent_address = to_checksum_address(agent_address)
guardian_address = to_checksum_address(guardian_address)
if agent_address not in self.agent_profiles:
return {
"status": "error",
"reason": "Agent not registered"
}
profile = self.agent_profiles[agent_address]
if guardian_address not in profile.guardian_addresses:
return {
"status": "error",
"reason": "Not authorized: not a guardian"
}
profile.enabled = False
# Log security event
self._log_security_event(
event_type="protection_disabled",
agent_address=agent_address,
guardian_address=guardian_address
)
return {
"status": "disabled",
"agent_address": agent_address,
"disabled_at": datetime.utcnow().isoformat(),
"guardian": guardian_address
}
except Exception as e:
return {
"status": "error",
"reason": f"Disable protection failed: {str(e)}"
}
# Global security manager instance
agent_wallet_security = AgentWalletSecurity()
# Convenience functions for common operations
def register_agent_for_protection(agent_address: str,
security_level: str = "conservative",
guardians: List[str] = None) -> Dict:
"""Register an agent for security protection"""
return agent_wallet_security.register_agent(
agent_address=agent_address,
security_level=security_level,
guardian_addresses=guardians
)
def protect_agent_transaction(agent_address: str,
to_address: str,
amount: int,
data: str = "") -> Dict:
"""Protect a transaction for an agent"""
return agent_wallet_security.protect_transaction(
agent_address=agent_address,
to_address=to_address,
amount=amount,
data=data
)
def get_agent_security_summary(agent_address: str) -> Dict:
"""Get security summary for an agent"""
return agent_wallet_security.get_agent_security_status(agent_address)
# Security audit and monitoring functions
def generate_security_report() -> Dict:
"""Generate comprehensive security report"""
protected_agents = agent_wallet_security.list_protected_agents()
total_agents = len(protected_agents)
active_agents = len([a for a in protected_agents if a["enabled"]])
paused_agents = len([a for a in protected_agents if a["paused"]])
emergency_agents = len([a for a in protected_agents if a["emergency_mode"]])
recent_events = agent_wallet_security.get_security_events(limit=20)
return {
"generated_at": datetime.utcnow().isoformat(),
"summary": {
"total_protected_agents": total_agents,
"active_agents": active_agents,
"paused_agents": paused_agents,
"emergency_mode_agents": emergency_agents,
"protection_coverage": f"{(active_agents / total_agents * 100):.1f}%" if total_agents > 0 else "0%"
},
"agents": protected_agents,
"recent_security_events": recent_events,
"security_levels": {
level: len([a for a in protected_agents if a["security_level"] == level])
for level in ["conservative", "aggressive", "high_security"]
}
}
def detect_suspicious_activity(agent_address: str, hours: int = 24) -> Dict:
"""Detect suspicious activity for an agent"""
status = agent_wallet_security.get_agent_security_status(agent_address)
if status["status"] != "protected":
return {
"status": "not_protected",
"suspicious_activity": False
}
spending_status = status["spending_status"]
recent_events = agent_wallet_security.get_security_events(agent_address, limit=50)
# Suspicious patterns
suspicious_patterns = []
# Check for rapid spending
if spending_status["spent"]["current_hour"] > spending_status["current_limits"]["per_hour"] * 0.8:
suspicious_patterns.append("High hourly spending rate")
# Check for many small transactions (potential dust attack)
recent_tx_count = len([e for e in recent_events if e["event_type"] == "transaction_executed"])
if recent_tx_count > 20:
suspicious_patterns.append("High transaction frequency")
# Check for emergency pauses
recent_pauses = len([e for e in recent_events if e["event_type"] == "emergency_pause"])
if recent_pauses > 0:
suspicious_patterns.append("Recent emergency pauses detected")
return {
"status": "analyzed",
"agent_address": agent_address,
"suspicious_activity": len(suspicious_patterns) > 0,
"suspicious_patterns": suspicious_patterns,
"analysis_period_hours": hours,
"analyzed_at": datetime.utcnow().isoformat()
}

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"""
Fixed Guardian Configuration with Proper Guardian Setup
Addresses the critical vulnerability where guardian lists were empty
"""
from typing import Dict, List, Optional, Tuple
from dataclasses import dataclass
from datetime import datetime, timedelta
import json
from eth_account import Account
from eth_utils import to_checksum_address, keccak
from .guardian_contract import (
SpendingLimit,
TimeLockConfig,
GuardianConfig,
GuardianContract
)
@dataclass
class GuardianSetup:
"""Guardian setup configuration"""
primary_guardian: str # Main guardian address
backup_guardians: List[str] # Backup guardian addresses
multisig_threshold: int # Number of signatures required
emergency_contacts: List[str] # Additional emergency contacts
class SecureGuardianManager:
"""
Secure guardian management with proper initialization
"""
def __init__(self):
self.guardian_registrations: Dict[str, GuardianSetup] = {}
self.guardian_contracts: Dict[str, GuardianContract] = {}
def create_guardian_setup(
self,
agent_address: str,
owner_address: str,
security_level: str = "conservative",
custom_guardians: Optional[List[str]] = None
) -> GuardianSetup:
"""
Create a proper guardian setup for an agent
Args:
agent_address: Agent wallet address
owner_address: Owner of the agent
security_level: Security level (conservative, aggressive, high_security)
custom_guardians: Optional custom guardian addresses
Returns:
Guardian setup configuration
"""
agent_address = to_checksum_address(agent_address)
owner_address = to_checksum_address(owner_address)
# Determine guardian requirements based on security level
if security_level == "conservative":
required_guardians = 3
multisig_threshold = 2
elif security_level == "aggressive":
required_guardians = 2
multisig_threshold = 2
elif security_level == "high_security":
required_guardians = 5
multisig_threshold = 3
else:
raise ValueError(f"Invalid security level: {security_level}")
# Build guardian list
guardians = []
# Always include the owner as primary guardian
guardians.append(owner_address)
# Add custom guardians if provided
if custom_guardians:
for guardian in custom_guardians:
guardian = to_checksum_address(guardian)
if guardian not in guardians:
guardians.append(guardian)
# Generate backup guardians if needed
while len(guardians) < required_guardians:
# Generate a deterministic backup guardian based on agent address
# In production, these would be trusted service addresses
backup_index = len(guardians) - 1 # -1 because owner is already included
backup_guardian = self._generate_backup_guardian(agent_address, backup_index)
if backup_guardian not in guardians:
guardians.append(backup_guardian)
# Create setup
setup = GuardianSetup(
primary_guardian=owner_address,
backup_guardians=[g for g in guardians if g != owner_address],
multisig_threshold=multisig_threshold,
emergency_contacts=guardians.copy()
)
self.guardian_registrations[agent_address] = setup
return setup
def _generate_backup_guardian(self, agent_address: str, index: int) -> str:
"""
Generate deterministic backup guardian address
In production, these would be pre-registered trusted guardian addresses
"""
# Create a deterministic address based on agent address and index
seed = f"{agent_address}_{index}_backup_guardian"
hash_result = keccak(seed.encode())
# Use the hash to generate a valid address
address_bytes = hash_result[-20:] # Take last 20 bytes
address = "0x" + address_bytes.hex()
return to_checksum_address(address)
def create_secure_guardian_contract(
self,
agent_address: str,
security_level: str = "conservative",
custom_guardians: Optional[List[str]] = None
) -> GuardianContract:
"""
Create a guardian contract with proper guardian configuration
Args:
agent_address: Agent wallet address
security_level: Security level
custom_guardians: Optional custom guardian addresses
Returns:
Configured guardian contract
"""
# Create guardian setup
setup = self.create_guardian_setup(
agent_address=agent_address,
owner_address=agent_address, # Agent is its own owner initially
security_level=security_level,
custom_guardians=custom_guardians
)
# Get security configuration
config = self._get_security_config(security_level, setup)
# Create contract
contract = GuardianContract(agent_address, config)
# Store contract
self.guardian_contracts[agent_address] = contract
return contract
def _get_security_config(self, security_level: str, setup: GuardianSetup) -> GuardianConfig:
"""Get security configuration with proper guardian list"""
# Build guardian list
all_guardians = [setup.primary_guardian] + setup.backup_guardians
if security_level == "conservative":
return GuardianConfig(
limits=SpendingLimit(
per_transaction=1000,
per_hour=5000,
per_day=20000,
per_week=100000
),
time_lock=TimeLockConfig(
threshold=5000,
delay_hours=24,
max_delay_hours=168
),
guardians=all_guardians,
pause_enabled=True,
emergency_mode=False,
multisig_threshold=setup.multisig_threshold
)
elif security_level == "aggressive":
return GuardianConfig(
limits=SpendingLimit(
per_transaction=5000,
per_hour=25000,
per_day=100000,
per_week=500000
),
time_lock=TimeLockConfig(
threshold=20000,
delay_hours=12,
max_delay_hours=72
),
guardians=all_guardians,
pause_enabled=True,
emergency_mode=False,
multisig_threshold=setup.multisig_threshold
)
elif security_level == "high_security":
return GuardianConfig(
limits=SpendingLimit(
per_transaction=500,
per_hour=2000,
per_day=8000,
per_week=40000
),
time_lock=TimeLockConfig(
threshold=2000,
delay_hours=48,
max_delay_hours=168
),
guardians=all_guardians,
pause_enabled=True,
emergency_mode=False,
multisig_threshold=setup.multisig_threshold
)
else:
raise ValueError(f"Invalid security level: {security_level}")
def test_emergency_pause(self, agent_address: str, guardian_address: str) -> Dict:
"""
Test emergency pause functionality
Args:
agent_address: Agent address
guardian_address: Guardian attempting pause
Returns:
Test result
"""
if agent_address not in self.guardian_contracts:
return {
"status": "error",
"reason": "Agent not registered"
}
contract = self.guardian_contracts[agent_address]
return contract.emergency_pause(guardian_address)
def verify_guardian_authorization(self, agent_address: str, guardian_address: str) -> bool:
"""
Verify if a guardian is authorized for an agent
Args:
agent_address: Agent address
guardian_address: Guardian address to verify
Returns:
True if guardian is authorized
"""
if agent_address not in self.guardian_registrations:
return False
setup = self.guardian_registrations[agent_address]
all_guardians = [setup.primary_guardian] + setup.backup_guardians
return to_checksum_address(guardian_address) in [
to_checksum_address(g) for g in all_guardians
]
def get_guardian_summary(self, agent_address: str) -> Dict:
"""
Get guardian setup summary for an agent
Args:
agent_address: Agent address
Returns:
Guardian summary
"""
if agent_address not in self.guardian_registrations:
return {"error": "Agent not registered"}
setup = self.guardian_registrations[agent_address]
contract = self.guardian_contracts.get(agent_address)
return {
"agent_address": agent_address,
"primary_guardian": setup.primary_guardian,
"backup_guardians": setup.backup_guardians,
"total_guardians": len(setup.backup_guardians) + 1,
"multisig_threshold": setup.multisig_threshold,
"emergency_contacts": setup.emergency_contacts,
"contract_status": contract.get_spending_status() if contract else None,
"pause_functional": contract is not None and len(setup.backup_guardians) > 0
}
# Fixed security configurations with proper guardians
def get_fixed_conservative_config(agent_address: str, owner_address: str) -> GuardianConfig:
"""Get fixed conservative configuration with proper guardians"""
return GuardianConfig(
limits=SpendingLimit(
per_transaction=1000,
per_hour=5000,
per_day=20000,
per_week=100000
),
time_lock=TimeLockConfig(
threshold=5000,
delay_hours=24,
max_delay_hours=168
),
guardians=[owner_address], # At least the owner
pause_enabled=True,
emergency_mode=False
)
def get_fixed_aggressive_config(agent_address: str, owner_address: str) -> GuardianConfig:
"""Get fixed aggressive configuration with proper guardians"""
return GuardianConfig(
limits=SpendingLimit(
per_transaction=5000,
per_hour=25000,
per_day=100000,
per_week=500000
),
time_lock=TimeLockConfig(
threshold=20000,
delay_hours=12,
max_delay_hours=72
),
guardians=[owner_address], # At least the owner
pause_enabled=True,
emergency_mode=False
)
def get_fixed_high_security_config(agent_address: str, owner_address: str) -> GuardianConfig:
"""Get fixed high security configuration with proper guardians"""
return GuardianConfig(
limits=SpendingLimit(
per_transaction=500,
per_hour=2000,
per_day=8000,
per_week=40000
),
time_lock=TimeLockConfig(
threshold=2000,
delay_hours=48,
max_delay_hours=168
),
guardians=[owner_address], # At least the owner
pause_enabled=True,
emergency_mode=False
)
# Global secure guardian manager
secure_guardian_manager = SecureGuardianManager()
# Convenience function for secure agent registration
def register_agent_with_guardians(
agent_address: str,
owner_address: str,
security_level: str = "conservative",
custom_guardians: Optional[List[str]] = None
) -> Dict:
"""
Register an agent with proper guardian configuration
Args:
agent_address: Agent wallet address
owner_address: Owner address
security_level: Security level
custom_guardians: Optional custom guardians
Returns:
Registration result
"""
try:
# Create secure guardian contract
contract = secure_guardian_manager.create_secure_guardian_contract(
agent_address=agent_address,
security_level=security_level,
custom_guardians=custom_guardians
)
# Get guardian summary
summary = secure_guardian_manager.get_guardian_summary(agent_address)
return {
"status": "registered",
"agent_address": agent_address,
"security_level": security_level,
"guardian_count": summary["total_guardians"],
"multisig_threshold": summary["multisig_threshold"],
"pause_functional": summary["pause_functional"],
"registered_at": datetime.utcnow().isoformat()
}
except Exception as e:
return {
"status": "error",
"reason": f"Registration failed: {str(e)}"
}

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"""
AITBC Guardian Contract - Spending Limit Protection for Agent Wallets
This contract implements a spending limit guardian that protects autonomous agent
wallets from unlimited spending in case of compromise. It provides:
- Per-transaction spending limits
- Per-period (daily/hourly) spending caps
- Time-lock for large withdrawals
- Emergency pause functionality
- Multi-signature recovery for critical operations
"""
from typing import Dict, List, Optional, Tuple
from dataclasses import dataclass
from datetime import datetime, timedelta
import json
from eth_account import Account
from eth_utils import to_checksum_address, keccak
@dataclass
class SpendingLimit:
"""Spending limit configuration"""
per_transaction: int # Maximum per transaction
per_hour: int # Maximum per hour
per_day: int # Maximum per day
per_week: int # Maximum per week
@dataclass
class TimeLockConfig:
"""Time lock configuration for large withdrawals"""
threshold: int # Amount that triggers time lock
delay_hours: int # Delay period in hours
max_delay_hours: int # Maximum delay period
@dataclass
class GuardianConfig:
"""Complete guardian configuration"""
limits: SpendingLimit
time_lock: TimeLockConfig
guardians: List[str] # Guardian addresses for recovery
pause_enabled: bool = True
emergency_mode: bool = False
class GuardianContract:
"""
Guardian contract implementation for agent wallet protection
"""
def __init__(self, agent_address: str, config: GuardianConfig):
self.agent_address = to_checksum_address(agent_address)
self.config = config
self.spending_history: List[Dict] = []
self.pending_operations: Dict[str, Dict] = {}
self.paused = False
self.emergency_mode = False
# Contract state
self.nonce = 0
self.guardian_approvals: Dict[str, bool] = {}
def _get_period_key(self, timestamp: datetime, period: str) -> str:
"""Generate period key for spending tracking"""
if period == "hour":
return timestamp.strftime("%Y-%m-%d-%H")
elif period == "day":
return timestamp.strftime("%Y-%m-%d")
elif period == "week":
# Get week number (Monday as first day)
week_num = timestamp.isocalendar()[1]
return f"{timestamp.year}-W{week_num:02d}"
else:
raise ValueError(f"Invalid period: {period}")
def _get_spent_in_period(self, period: str, timestamp: datetime = None) -> int:
"""Calculate total spent in given period"""
if timestamp is None:
timestamp = datetime.utcnow()
period_key = self._get_period_key(timestamp, period)
total = 0
for record in self.spending_history:
record_time = datetime.fromisoformat(record["timestamp"])
record_period = self._get_period_key(record_time, period)
if record_period == period_key and record["status"] == "completed":
total += record["amount"]
return total
def _check_spending_limits(self, amount: int, timestamp: datetime = None) -> Tuple[bool, str]:
"""Check if amount exceeds spending limits"""
if timestamp is None:
timestamp = datetime.utcnow()
# Check per-transaction limit
if amount > self.config.limits.per_transaction:
return False, f"Amount {amount} exceeds per-transaction limit {self.config.limits.per_transaction}"
# Check per-hour limit
spent_hour = self._get_spent_in_period("hour", timestamp)
if spent_hour + amount > self.config.limits.per_hour:
return False, f"Hourly spending {spent_hour + amount} would exceed limit {self.config.limits.per_hour}"
# Check per-day limit
spent_day = self._get_spent_in_period("day", timestamp)
if spent_day + amount > self.config.limits.per_day:
return False, f"Daily spending {spent_day + amount} would exceed limit {self.config.limits.per_day}"
# Check per-week limit
spent_week = self._get_spent_in_period("week", timestamp)
if spent_week + amount > self.config.limits.per_week:
return False, f"Weekly spending {spent_week + amount} would exceed limit {self.config.limits.per_week}"
return True, "Spending limits check passed"
def _requires_time_lock(self, amount: int) -> bool:
"""Check if amount requires time lock"""
return amount >= self.config.time_lock.threshold
def _create_operation_hash(self, operation: Dict) -> str:
"""Create hash for operation identification"""
operation_str = json.dumps(operation, sort_keys=True)
return keccak(operation_str.encode()).hex()
def initiate_transaction(self, to_address: str, amount: int, data: str = "") -> Dict:
"""
Initiate a transaction with guardian protection
Args:
to_address: Recipient address
amount: Amount to transfer
data: Transaction data (optional)
Returns:
Operation result with status and details
"""
# Check if paused
if self.paused:
return {
"status": "rejected",
"reason": "Guardian contract is paused",
"operation_id": None
}
# Check emergency mode
if self.emergency_mode:
return {
"status": "rejected",
"reason": "Emergency mode activated",
"operation_id": None
}
# Validate address
try:
to_address = to_checksum_address(to_address)
except:
return {
"status": "rejected",
"reason": "Invalid recipient address",
"operation_id": None
}
# Check spending limits
limits_ok, limits_reason = self._check_spending_limits(amount)
if not limits_ok:
return {
"status": "rejected",
"reason": limits_reason,
"operation_id": None
}
# Create operation
operation = {
"type": "transaction",
"to": to_address,
"amount": amount,
"data": data,
"timestamp": datetime.utcnow().isoformat(),
"nonce": self.nonce,
"status": "pending"
}
operation_id = self._create_operation_hash(operation)
operation["operation_id"] = operation_id
# Check if time lock is required
if self._requires_time_lock(amount):
unlock_time = datetime.utcnow() + timedelta(hours=self.config.time_lock.delay_hours)
operation["unlock_time"] = unlock_time.isoformat()
operation["status"] = "time_locked"
# Store for later execution
self.pending_operations[operation_id] = operation
return {
"status": "time_locked",
"operation_id": operation_id,
"unlock_time": unlock_time.isoformat(),
"delay_hours": self.config.time_lock.delay_hours,
"message": f"Transaction requires {self.config.time_lock.delay_hours}h time lock"
}
# Immediate execution for smaller amounts
self.pending_operations[operation_id] = operation
return {
"status": "approved",
"operation_id": operation_id,
"message": "Transaction approved for execution"
}
def execute_transaction(self, operation_id: str, signature: str) -> Dict:
"""
Execute a previously approved transaction
Args:
operation_id: Operation ID from initiate_transaction
signature: Transaction signature from agent
Returns:
Execution result
"""
if operation_id not in self.pending_operations:
return {
"status": "error",
"reason": "Operation not found"
}
operation = self.pending_operations[operation_id]
# Check if operation is time locked
if operation["status"] == "time_locked":
unlock_time = datetime.fromisoformat(operation["unlock_time"])
if datetime.utcnow() < unlock_time:
return {
"status": "error",
"reason": f"Operation locked until {unlock_time.isoformat()}"
}
operation["status"] = "ready"
# Verify signature (simplified - in production, use proper verification)
try:
# In production, verify the signature matches the agent address
# For now, we'll assume signature is valid
pass
except Exception as e:
return {
"status": "error",
"reason": f"Invalid signature: {str(e)}"
}
# Record the transaction
record = {
"operation_id": operation_id,
"to": operation["to"],
"amount": operation["amount"],
"data": operation.get("data", ""),
"timestamp": operation["timestamp"],
"executed_at": datetime.utcnow().isoformat(),
"status": "completed",
"nonce": operation["nonce"]
}
self.spending_history.append(record)
self.nonce += 1
# Remove from pending
del self.pending_operations[operation_id]
return {
"status": "executed",
"operation_id": operation_id,
"transaction_hash": f"0x{keccak(f'{operation_id}{signature}'.encode()).hex()}",
"executed_at": record["executed_at"]
}
def emergency_pause(self, guardian_address: str) -> Dict:
"""
Emergency pause function (guardian only)
Args:
guardian_address: Address of guardian initiating pause
Returns:
Pause result
"""
if guardian_address not in self.config.guardians:
return {
"status": "rejected",
"reason": "Not authorized: guardian address not recognized"
}
self.paused = True
self.emergency_mode = True
return {
"status": "paused",
"paused_at": datetime.utcnow().isoformat(),
"guardian": guardian_address,
"message": "Emergency pause activated - all operations halted"
}
def emergency_unpause(self, guardian_signatures: List[str]) -> Dict:
"""
Emergency unpause function (requires multiple guardian signatures)
Args:
guardian_signatures: Signatures from required guardians
Returns:
Unpause result
"""
# In production, verify all guardian signatures
required_signatures = len(self.config.guardians)
if len(guardian_signatures) < required_signatures:
return {
"status": "rejected",
"reason": f"Requires {required_signatures} guardian signatures, got {len(guardian_signatures)}"
}
# Verify signatures (simplified)
# In production, verify each signature matches a guardian address
self.paused = False
self.emergency_mode = False
return {
"status": "unpaused",
"unpaused_at": datetime.utcnow().isoformat(),
"message": "Emergency pause lifted - operations resumed"
}
def update_limits(self, new_limits: SpendingLimit, guardian_address: str) -> Dict:
"""
Update spending limits (guardian only)
Args:
new_limits: New spending limits
guardian_address: Address of guardian making the change
Returns:
Update result
"""
if guardian_address not in self.config.guardians:
return {
"status": "rejected",
"reason": "Not authorized: guardian address not recognized"
}
old_limits = self.config.limits
self.config.limits = new_limits
return {
"status": "updated",
"old_limits": old_limits,
"new_limits": new_limits,
"updated_at": datetime.utcnow().isoformat(),
"guardian": guardian_address
}
def get_spending_status(self) -> Dict:
"""Get current spending status and limits"""
now = datetime.utcnow()
return {
"agent_address": self.agent_address,
"current_limits": self.config.limits,
"spent": {
"current_hour": self._get_spent_in_period("hour", now),
"current_day": self._get_spent_in_period("day", now),
"current_week": self._get_spent_in_period("week", now)
},
"remaining": {
"current_hour": self.config.limits.per_hour - self._get_spent_in_period("hour", now),
"current_day": self.config.limits.per_day - self._get_spent_in_period("day", now),
"current_week": self.config.limits.per_week - self._get_spent_in_period("week", now)
},
"pending_operations": len(self.pending_operations),
"paused": self.paused,
"emergency_mode": self.emergency_mode,
"nonce": self.nonce
}
def get_operation_history(self, limit: int = 50) -> List[Dict]:
"""Get operation history"""
return sorted(self.spending_history, key=lambda x: x["timestamp"], reverse=True)[:limit]
def get_pending_operations(self) -> List[Dict]:
"""Get all pending operations"""
return list(self.pending_operations.values())
# Factory function for creating guardian contracts
def create_guardian_contract(
agent_address: str,
per_transaction: int = 1000,
per_hour: int = 5000,
per_day: int = 20000,
per_week: int = 100000,
time_lock_threshold: int = 10000,
time_lock_delay: int = 24,
guardians: List[str] = None
) -> GuardianContract:
"""
Create a guardian contract with default security parameters
Args:
agent_address: The agent wallet address to protect
per_transaction: Maximum amount per transaction
per_hour: Maximum amount per hour
per_day: Maximum amount per day
per_week: Maximum amount per week
time_lock_threshold: Amount that triggers time lock
time_lock_delay: Time lock delay in hours
guardians: List of guardian addresses
Returns:
Configured GuardianContract instance
"""
if guardians is None:
# Default to using the agent address as guardian (should be overridden)
guardians = [agent_address]
limits = SpendingLimit(
per_transaction=per_transaction,
per_hour=per_hour,
per_day=per_day,
per_week=per_week
)
time_lock = TimeLockConfig(
threshold=time_lock_threshold,
delay_hours=time_lock_delay,
max_delay_hours=168 # 1 week max
)
config = GuardianConfig(
limits=limits,
time_lock=time_lock,
guardians=[to_checksum_address(g) for g in guardians]
)
return GuardianContract(agent_address, config)
# Example usage and security configurations
CONSERVATIVE_CONFIG = {
"per_transaction": 100, # $100 per transaction
"per_hour": 500, # $500 per hour
"per_day": 2000, # $2,000 per day
"per_week": 10000, # $10,000 per week
"time_lock_threshold": 1000, # Time lock over $1,000
"time_lock_delay": 24 # 24 hour delay
}
AGGRESSIVE_CONFIG = {
"per_transaction": 1000, # $1,000 per transaction
"per_hour": 5000, # $5,000 per hour
"per_day": 20000, # $20,000 per day
"per_week": 100000, # $100,000 per week
"time_lock_threshold": 10000, # Time lock over $10,000
"time_lock_delay": 12 # 12 hour delay
}
HIGH_SECURITY_CONFIG = {
"per_transaction": 50, # $50 per transaction
"per_hour": 200, # $200 per hour
"per_day": 1000, # $1,000 per day
"per_week": 5000, # $5,000 per week
"time_lock_threshold": 500, # Time lock over $500
"time_lock_delay": 48 # 48 hour delay
}

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"""
Persistent Spending Tracker - Database-Backed Security
Fixes the critical vulnerability where spending limits were lost on restart
"""
from typing import Dict, List, Optional, Tuple
from dataclasses import dataclass
from datetime import datetime, timedelta
from sqlalchemy import create_engine, Column, String, Integer, Float, DateTime, Index
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, Session
from eth_utils import to_checksum_address
import json
Base = declarative_base()
class SpendingRecord(Base):
"""Database model for spending tracking"""
__tablename__ = "spending_records"
id = Column(String, primary_key=True)
agent_address = Column(String, index=True)
period_type = Column(String, index=True) # hour, day, week
period_key = Column(String, index=True)
amount = Column(Float)
transaction_hash = Column(String)
timestamp = Column(DateTime, default=datetime.utcnow)
# Composite indexes for performance
__table_args__ = (
Index('idx_agent_period', 'agent_address', 'period_type', 'period_key'),
Index('idx_timestamp', 'timestamp'),
)
class SpendingLimit(Base):
"""Database model for spending limits"""
__tablename__ = "spending_limits"
agent_address = Column(String, primary_key=True)
per_transaction = Column(Float)
per_hour = Column(Float)
per_day = Column(Float)
per_week = Column(Float)
time_lock_threshold = Column(Float)
time_lock_delay_hours = Column(Integer)
updated_at = Column(DateTime, default=datetime.utcnow)
updated_by = Column(String) # Guardian who updated
class GuardianAuthorization(Base):
"""Database model for guardian authorizations"""
__tablename__ = "guardian_authorizations"
id = Column(String, primary_key=True)
agent_address = Column(String, index=True)
guardian_address = Column(String, index=True)
is_active = Column(Boolean, default=True)
added_at = Column(DateTime, default=datetime.utcnow)
added_by = Column(String)
@dataclass
class SpendingCheckResult:
"""Result of spending limit check"""
allowed: bool
reason: str
current_spent: Dict[str, float]
remaining: Dict[str, float]
requires_time_lock: bool
time_lock_until: Optional[datetime] = None
class PersistentSpendingTracker:
"""
Database-backed spending tracker that survives restarts
"""
def __init__(self, database_url: str = "sqlite:///spending_tracker.db"):
self.engine = create_engine(database_url)
Base.metadata.create_all(self.engine)
self.SessionLocal = sessionmaker(bind=self.engine)
def get_session(self) -> Session:
"""Get database session"""
return self.SessionLocal()
def _get_period_key(self, timestamp: datetime, period: str) -> str:
"""Generate period key for spending tracking"""
if period == "hour":
return timestamp.strftime("%Y-%m-%d-%H")
elif period == "day":
return timestamp.strftime("%Y-%m-%d")
elif period == "week":
# Get week number (Monday as first day)
week_num = timestamp.isocalendar()[1]
return f"{timestamp.year}-W{week_num:02d}"
else:
raise ValueError(f"Invalid period: {period}")
def get_spent_in_period(self, agent_address: str, period: str, timestamp: datetime = None) -> float:
"""
Get total spent in given period from database
Args:
agent_address: Agent wallet address
period: Period type (hour, day, week)
timestamp: Timestamp to check (default: now)
Returns:
Total amount spent in period
"""
if timestamp is None:
timestamp = datetime.utcnow()
period_key = self._get_period_key(timestamp, period)
agent_address = to_checksum_address(agent_address)
with self.get_session() as session:
total = session.query(SpendingRecord).filter(
SpendingRecord.agent_address == agent_address,
SpendingRecord.period_type == period,
SpendingRecord.period_key == period_key
).with_entities(SpendingRecord.amount).all()
return sum(record.amount for record in total)
def record_spending(self, agent_address: str, amount: float, transaction_hash: str, timestamp: datetime = None) -> bool:
"""
Record a spending transaction in the database
Args:
agent_address: Agent wallet address
amount: Amount spent
transaction_hash: Transaction hash
timestamp: Transaction timestamp (default: now)
Returns:
True if recorded successfully
"""
if timestamp is None:
timestamp = datetime.utcnow()
agent_address = to_checksum_address(agent_address)
try:
with self.get_session() as session:
# Record for all periods
periods = ["hour", "day", "week"]
for period in periods:
period_key = self._get_period_key(timestamp, period)
record = SpendingRecord(
id=f"{transaction_hash}_{period}",
agent_address=agent_address,
period_type=period,
period_key=period_key,
amount=amount,
transaction_hash=transaction_hash,
timestamp=timestamp
)
session.add(record)
session.commit()
return True
except Exception as e:
print(f"Failed to record spending: {e}")
return False
def check_spending_limits(self, agent_address: str, amount: float, timestamp: datetime = None) -> SpendingCheckResult:
"""
Check if amount exceeds spending limits using persistent data
Args:
agent_address: Agent wallet address
amount: Amount to check
timestamp: Timestamp for check (default: now)
Returns:
Spending check result
"""
if timestamp is None:
timestamp = datetime.utcnow()
agent_address = to_checksum_address(agent_address)
# Get spending limits from database
with self.get_session() as session:
limits = session.query(SpendingLimit).filter(
SpendingLimit.agent_address == agent_address
).first()
if not limits:
# Default limits if not set
limits = SpendingLimit(
agent_address=agent_address,
per_transaction=1000.0,
per_hour=5000.0,
per_day=20000.0,
per_week=100000.0,
time_lock_threshold=5000.0,
time_lock_delay_hours=24
)
session.add(limits)
session.commit()
# Check each limit
current_spent = {}
remaining = {}
# Per-transaction limit
if amount > limits.per_transaction:
return SpendingCheckResult(
allowed=False,
reason=f"Amount {amount} exceeds per-transaction limit {limits.per_transaction}",
current_spent=current_spent,
remaining=remaining,
requires_time_lock=False
)
# Per-hour limit
spent_hour = self.get_spent_in_period(agent_address, "hour", timestamp)
current_spent["hour"] = spent_hour
remaining["hour"] = limits.per_hour - spent_hour
if spent_hour + amount > limits.per_hour:
return SpendingCheckResult(
allowed=False,
reason=f"Hourly spending {spent_hour + amount} would exceed limit {limits.per_hour}",
current_spent=current_spent,
remaining=remaining,
requires_time_lock=False
)
# Per-day limit
spent_day = self.get_spent_in_period(agent_address, "day", timestamp)
current_spent["day"] = spent_day
remaining["day"] = limits.per_day - spent_day
if spent_day + amount > limits.per_day:
return SpendingCheckResult(
allowed=False,
reason=f"Daily spending {spent_day + amount} would exceed limit {limits.per_day}",
current_spent=current_spent,
remaining=remaining,
requires_time_lock=False
)
# Per-week limit
spent_week = self.get_spent_in_period(agent_address, "week", timestamp)
current_spent["week"] = spent_week
remaining["week"] = limits.per_week - spent_week
if spent_week + amount > limits.per_week:
return SpendingCheckResult(
allowed=False,
reason=f"Weekly spending {spent_week + amount} would exceed limit {limits.per_week}",
current_spent=current_spent,
remaining=remaining,
requires_time_lock=False
)
# Check time lock requirement
requires_time_lock = amount >= limits.time_lock_threshold
time_lock_until = None
if requires_time_lock:
time_lock_until = timestamp + timedelta(hours=limits.time_lock_delay_hours)
return SpendingCheckResult(
allowed=True,
reason="Spending limits check passed",
current_spent=current_spent,
remaining=remaining,
requires_time_lock=requires_time_lock,
time_lock_until=time_lock_until
)
def update_spending_limits(self, agent_address: str, new_limits: Dict, guardian_address: str) -> bool:
"""
Update spending limits for an agent
Args:
agent_address: Agent wallet address
new_limits: New spending limits
guardian_address: Guardian making the change
Returns:
True if updated successfully
"""
agent_address = to_checksum_address(agent_address)
guardian_address = to_checksum_address(guardian_address)
# Verify guardian authorization
if not self.is_guardian_authorized(agent_address, guardian_address):
return False
try:
with self.get_session() as session:
limits = session.query(SpendingLimit).filter(
SpendingLimit.agent_address == agent_address
).first()
if limits:
limits.per_transaction = new_limits.get("per_transaction", limits.per_transaction)
limits.per_hour = new_limits.get("per_hour", limits.per_hour)
limits.per_day = new_limits.get("per_day", limits.per_day)
limits.per_week = new_limits.get("per_week", limits.per_week)
limits.time_lock_threshold = new_limits.get("time_lock_threshold", limits.time_lock_threshold)
limits.time_lock_delay_hours = new_limits.get("time_lock_delay_hours", limits.time_lock_delay_hours)
limits.updated_at = datetime.utcnow()
limits.updated_by = guardian_address
else:
limits = SpendingLimit(
agent_address=agent_address,
per_transaction=new_limits.get("per_transaction", 1000.0),
per_hour=new_limits.get("per_hour", 5000.0),
per_day=new_limits.get("per_day", 20000.0),
per_week=new_limits.get("per_week", 100000.0),
time_lock_threshold=new_limits.get("time_lock_threshold", 5000.0),
time_lock_delay_hours=new_limits.get("time_lock_delay_hours", 24),
updated_at=datetime.utcnow(),
updated_by=guardian_address
)
session.add(limits)
session.commit()
return True
except Exception as e:
print(f"Failed to update spending limits: {e}")
return False
def add_guardian(self, agent_address: str, guardian_address: str, added_by: str) -> bool:
"""
Add a guardian for an agent
Args:
agent_address: Agent wallet address
guardian_address: Guardian address
added_by: Who added this guardian
Returns:
True if added successfully
"""
agent_address = to_checksum_address(agent_address)
guardian_address = to_checksum_address(guardian_address)
added_by = to_checksum_address(added_by)
try:
with self.get_session() as session:
# Check if already exists
existing = session.query(GuardianAuthorization).filter(
GuardianAuthorization.agent_address == agent_address,
GuardianAuthorization.guardian_address == guardian_address
).first()
if existing:
existing.is_active = True
existing.added_at = datetime.utcnow()
existing.added_by = added_by
else:
auth = GuardianAuthorization(
id=f"{agent_address}_{guardian_address}",
agent_address=agent_address,
guardian_address=guardian_address,
is_active=True,
added_at=datetime.utcnow(),
added_by=added_by
)
session.add(auth)
session.commit()
return True
except Exception as e:
print(f"Failed to add guardian: {e}")
return False
def is_guardian_authorized(self, agent_address: str, guardian_address: str) -> bool:
"""
Check if a guardian is authorized for an agent
Args:
agent_address: Agent wallet address
guardian_address: Guardian address
Returns:
True if authorized
"""
agent_address = to_checksum_address(agent_address)
guardian_address = to_checksum_address(guardian_address)
with self.get_session() as session:
auth = session.query(GuardianAuthorization).filter(
GuardianAuthorization.agent_address == agent_address,
GuardianAuthorization.guardian_address == guardian_address,
GuardianAuthorization.is_active == True
).first()
return auth is not None
def get_spending_summary(self, agent_address: str) -> Dict:
"""
Get comprehensive spending summary for an agent
Args:
agent_address: Agent wallet address
Returns:
Spending summary
"""
agent_address = to_checksum_address(agent_address)
now = datetime.utcnow()
# Get current spending
current_spent = {
"hour": self.get_spent_in_period(agent_address, "hour", now),
"day": self.get_spent_in_period(agent_address, "day", now),
"week": self.get_spent_in_period(agent_address, "week", now)
}
# Get limits
with self.get_session() as session:
limits = session.query(SpendingLimit).filter(
SpendingLimit.agent_address == agent_address
).first()
if not limits:
return {"error": "No spending limits set"}
# Calculate remaining
remaining = {
"hour": limits.per_hour - current_spent["hour"],
"day": limits.per_day - current_spent["day"],
"week": limits.per_week - current_spent["week"]
}
# Get authorized guardians
with self.get_session() as session:
guardians = session.query(GuardianAuthorization).filter(
GuardianAuthorization.agent_address == agent_address,
GuardianAuthorization.is_active == True
).all()
return {
"agent_address": agent_address,
"current_spending": current_spent,
"remaining_spending": remaining,
"limits": {
"per_transaction": limits.per_transaction,
"per_hour": limits.per_hour,
"per_day": limits.per_day,
"per_week": limits.per_week
},
"time_lock": {
"threshold": limits.time_lock_threshold,
"delay_hours": limits.time_lock_delay_hours
},
"authorized_guardians": [g.guardian_address for g in guardians],
"last_updated": limits.updated_at.isoformat() if limits.updated_at else None
}
# Global persistent tracker instance
persistent_tracker = PersistentSpendingTracker()

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"""
Multi-Modal WebSocket Fusion Service
Advanced WebSocket stream architecture for multi-modal fusion with
per-stream backpressure handling and GPU provider flow control.
"""
import asyncio
import json
import time
import numpy as np
import torch
from typing import Dict, List, Optional, Any, Tuple, Union
from dataclasses import dataclass, field
from enum import Enum
from uuid import uuid4
from aitbc.logging import get_logger
from .websocket_stream_manager import (
WebSocketStreamManager, StreamConfig, MessageType,
stream_manager, WebSocketStream
)
from .gpu_multimodal import GPUMultimodalProcessor
from .multi_modal_fusion import MultiModalFusionService
logger = get_logger(__name__)
class FusionStreamType(Enum):
"""Types of fusion streams"""
VISUAL = "visual"
TEXT = "text"
AUDIO = "audio"
SENSOR = "sensor"
CONTROL = "control"
METRICS = "metrics"
class GPUProviderStatus(Enum):
"""GPU provider status"""
AVAILABLE = "available"
BUSY = "busy"
SLOW = "slow"
OVERLOADED = "overloaded"
OFFLINE = "offline"
@dataclass
class FusionStreamConfig:
"""Configuration for fusion streams"""
stream_type: FusionStreamType
max_queue_size: int = 500
gpu_timeout: float = 2.0
fusion_timeout: float = 5.0
batch_size: int = 8
enable_gpu_acceleration: bool = True
priority: int = 1 # Higher number = higher priority
def to_stream_config(self) -> StreamConfig:
"""Convert to WebSocket stream config"""
return StreamConfig(
max_queue_size=self.max_queue_size,
send_timeout=self.fusion_timeout,
heartbeat_interval=30.0,
slow_consumer_threshold=0.5,
backpressure_threshold=0.7,
drop_bulk_threshold=0.85,
enable_compression=True,
priority_send=True
)
@dataclass
class FusionData:
"""Multi-modal fusion data"""
stream_id: str
stream_type: FusionStreamType
data: Any
timestamp: float
metadata: Dict[str, Any] = field(default_factory=dict)
requires_gpu: bool = False
processing_priority: int = 1
@dataclass
class GPUProviderMetrics:
"""GPU provider performance metrics"""
provider_id: str
status: GPUProviderStatus
avg_processing_time: float
queue_size: int
gpu_utilization: float
memory_usage: float
error_rate: float
last_update: float
class GPUProviderFlowControl:
"""Flow control for GPU providers"""
def __init__(self, provider_id: str):
self.provider_id = provider_id
self.metrics = GPUProviderMetrics(
provider_id=provider_id,
status=GPUProviderStatus.AVAILABLE,
avg_processing_time=0.0,
queue_size=0,
gpu_utilization=0.0,
memory_usage=0.0,
error_rate=0.0,
last_update=time.time()
)
# Flow control queues
self.input_queue = asyncio.Queue(maxsize=100)
self.output_queue = asyncio.Queue(maxsize=100)
self.control_queue = asyncio.Queue(maxsize=50)
# Flow control parameters
self.max_concurrent_requests = 4
self.current_requests = 0
self.slow_threshold = 2.0 # seconds
self.overload_threshold = 0.8 # queue fill ratio
# Performance tracking
self.request_times = []
self.error_count = 0
self.total_requests = 0
# Flow control task
self._flow_control_task = None
self._running = False
async def start(self):
"""Start flow control"""
if self._running:
return
self._running = True
self._flow_control_task = asyncio.create_task(self._flow_control_loop())
logger.info(f"GPU provider flow control started: {self.provider_id}")
async def stop(self):
"""Stop flow control"""
if not self._running:
return
self._running = False
if self._flow_control_task:
self._flow_control_task.cancel()
try:
await self._flow_control_task
except asyncio.CancelledError:
pass
logger.info(f"GPU provider flow control stopped: {self.provider_id}")
async def submit_request(self, data: FusionData) -> Optional[str]:
"""Submit request with flow control"""
if not self._running:
return None
# Check provider status
if self.metrics.status == GPUProviderStatus.OFFLINE:
logger.warning(f"GPU provider {self.provider_id} is offline")
return None
# Check backpressure
if self.input_queue.qsize() / self.input_queue.maxsize > self.overload_threshold:
self.metrics.status = GPUProviderStatus.OVERLOADED
logger.warning(f"GPU provider {self.provider_id} is overloaded")
return None
# Submit request
request_id = str(uuid4())
request_data = {
"request_id": request_id,
"data": data,
"timestamp": time.time()
}
try:
await asyncio.wait_for(
self.input_queue.put(request_data),
timeout=1.0
)
return request_id
except asyncio.TimeoutError:
logger.warning(f"Request timeout for GPU provider {self.provider_id}")
return None
async def get_result(self, request_id: str, timeout: float = 5.0) -> Optional[Any]:
"""Get processing result"""
start_time = time.time()
while time.time() - start_time < timeout:
try:
# Check output queue
result = await asyncio.wait_for(
self.output_queue.get(),
timeout=0.1
)
if result.get("request_id") == request_id:
return result.get("data")
# Put back if not our result
await self.output_queue.put(result)
except asyncio.TimeoutError:
continue
return None
async def _flow_control_loop(self):
"""Main flow control loop"""
while self._running:
try:
# Get next request
request_data = await asyncio.wait_for(
self.input_queue.get(),
timeout=1.0
)
# Check concurrent request limit
if self.current_requests >= self.max_concurrent_requests:
# Re-queue request
await self.input_queue.put(request_data)
await asyncio.sleep(0.1)
continue
# Process request
self.current_requests += 1
self.total_requests += 1
asyncio.create_task(self._process_request(request_data))
except asyncio.TimeoutError:
continue
except Exception as e:
logger.error(f"Flow control error for {self.provider_id}: {e}")
await asyncio.sleep(0.1)
async def _process_request(self, request_data: Dict[str, Any]):
"""Process individual request"""
request_id = request_data["request_id"]
data: FusionData = request_data["data"]
start_time = time.time()
try:
# Simulate GPU processing
if data.requires_gpu:
# Simulate GPU processing time
processing_time = np.random.uniform(0.5, 3.0)
await asyncio.sleep(processing_time)
# Simulate GPU result
result = {
"processed_data": f"gpu_processed_{data.stream_type}",
"processing_time": processing_time,
"gpu_utilization": np.random.uniform(0.3, 0.9),
"memory_usage": np.random.uniform(0.4, 0.8)
}
else:
# CPU processing
processing_time = np.random.uniform(0.1, 0.5)
await asyncio.sleep(processing_time)
result = {
"processed_data": f"cpu_processed_{data.stream_type}",
"processing_time": processing_time
}
# Update metrics
actual_time = time.time() - start_time
self._update_metrics(actual_time, success=True)
# Send result
await self.output_queue.put({
"request_id": request_id,
"data": result,
"timestamp": time.time()
})
except Exception as e:
logger.error(f"Request processing error for {self.provider_id}: {e}")
self._update_metrics(time.time() - start_time, success=False)
# Send error result
await self.output_queue.put({
"request_id": request_id,
"error": str(e),
"timestamp": time.time()
})
finally:
self.current_requests -= 1
def _update_metrics(self, processing_time: float, success: bool):
"""Update provider metrics"""
# Update processing time
self.request_times.append(processing_time)
if len(self.request_times) > 100:
self.request_times.pop(0)
self.metrics.avg_processing_time = np.mean(self.request_times)
# Update error rate
if not success:
self.error_count += 1
self.metrics.error_rate = self.error_count / max(self.total_requests, 1)
# Update queue sizes
self.metrics.queue_size = self.input_queue.qsize()
# Update status
if self.metrics.error_rate > 0.1:
self.metrics.status = GPUProviderStatus.OFFLINE
elif self.metrics.avg_processing_time > self.slow_threshold:
self.metrics.status = GPUProviderStatus.SLOW
elif self.metrics.queue_size > self.input_queue.maxsize * 0.8:
self.metrics.status = GPUProviderStatus.OVERLOADED
elif self.current_requests >= self.max_concurrent_requests:
self.metrics.status = GPUProviderStatus.BUSY
else:
self.metrics.status = GPUProviderStatus.AVAILABLE
self.metrics.last_update = time.time()
def get_metrics(self) -> Dict[str, Any]:
"""Get provider metrics"""
return {
"provider_id": self.provider_id,
"status": self.metrics.status.value,
"avg_processing_time": self.metrics.avg_processing_time,
"queue_size": self.metrics.queue_size,
"current_requests": self.current_requests,
"max_concurrent_requests": self.max_concurrent_requests,
"error_rate": self.metrics.error_rate,
"total_requests": self.total_requests,
"last_update": self.metrics.last_update
}
class MultiModalWebSocketFusion:
"""Multi-modal fusion service with WebSocket streaming and backpressure control"""
def __init__(self):
self.stream_manager = stream_manager
self.fusion_service = None # Will be injected
self.gpu_providers: Dict[str, GPUProviderFlowControl] = {}
# Fusion streams
self.fusion_streams: Dict[str, FusionStreamConfig] = {}
self.active_fusions: Dict[str, Dict[str, Any]] = {}
# Performance metrics
self.fusion_metrics = {
"total_fusions": 0,
"successful_fusions": 0,
"failed_fusions": 0,
"avg_fusion_time": 0.0,
"gpu_utilization": 0.0,
"memory_usage": 0.0
}
# Backpressure control
self.backpressure_enabled = True
self.global_queue_size = 0
self.max_global_queue_size = 10000
# Running state
self._running = False
self._monitor_task = None
async def start(self):
"""Start the fusion service"""
if self._running:
return
self._running = True
# Start stream manager
await self.stream_manager.start()
# Initialize GPU providers
await self._initialize_gpu_providers()
# Start monitoring
self._monitor_task = asyncio.create_task(self._monitor_loop())
logger.info("Multi-Modal WebSocket Fusion started")
async def stop(self):
"""Stop the fusion service"""
if not self._running:
return
self._running = False
# Stop GPU providers
for provider in self.gpu_providers.values():
await provider.stop()
# Stop stream manager
await self.stream_manager.stop()
# Stop monitoring
if self._monitor_task:
self._monitor_task.cancel()
try:
await self._monitor_task
except asyncio.CancelledError:
pass
logger.info("Multi-Modal WebSocket Fusion stopped")
async def register_fusion_stream(self, stream_id: str, config: FusionStreamConfig):
"""Register a fusion stream"""
self.fusion_streams[stream_id] = config
logger.info(f"Registered fusion stream: {stream_id} ({config.stream_type.value})")
async def handle_websocket_connection(self, websocket, stream_id: str,
stream_type: FusionStreamType):
"""Handle WebSocket connection for fusion stream"""
config = FusionStreamConfig(
stream_type=stream_type,
max_queue_size=500,
gpu_timeout=2.0,
fusion_timeout=5.0
)
async with self.stream_manager.manage_stream(websocket, config.to_stream_config()) as stream:
logger.info(f"Fusion stream connected: {stream_id} ({stream_type.value})")
try:
# Handle incoming messages
async for message in websocket:
await self._handle_stream_message(stream_id, stream_type, message)
except Exception as e:
logger.error(f"Error in fusion stream {stream_id}: {e}")
async def _handle_stream_message(self, stream_id: str, stream_type: FusionStreamType,
message: str):
"""Handle incoming stream message"""
try:
data = json.loads(message)
# Create fusion data
fusion_data = FusionData(
stream_id=stream_id,
stream_type=stream_type,
data=data.get("data"),
timestamp=time.time(),
metadata=data.get("metadata", {}),
requires_gpu=data.get("requires_gpu", False),
processing_priority=data.get("priority", 1)
)
# Submit to GPU provider if needed
if fusion_data.requires_gpu:
await self._submit_to_gpu_provider(fusion_data)
else:
await self._process_cpu_fusion(fusion_data)
except Exception as e:
logger.error(f"Error handling stream message: {e}")
async def _submit_to_gpu_provider(self, fusion_data: FusionData):
"""Submit fusion data to GPU provider"""
# Select best GPU provider
provider_id = await self._select_gpu_provider(fusion_data)
if not provider_id:
logger.warning("No available GPU providers")
await self._handle_fusion_error(fusion_data, "No GPU providers available")
return
provider = self.gpu_providers[provider_id]
# Submit request
request_id = await provider.submit_request(fusion_data)
if not request_id:
await self._handle_fusion_error(fusion_data, "GPU provider overloaded")
return
# Wait for result
result = await provider.get_result(request_id, timeout=5.0)
if result and "error" not in result:
await self._handle_fusion_result(fusion_data, result)
else:
error = result.get("error", "Unknown error") if result else "Timeout"
await self._handle_fusion_error(fusion_data, error)
async def _process_cpu_fusion(self, fusion_data: FusionData):
"""Process fusion data on CPU"""
try:
# Simulate CPU fusion processing
processing_time = np.random.uniform(0.1, 0.5)
await asyncio.sleep(processing_time)
result = {
"processed_data": f"cpu_fused_{fusion_data.stream_type}",
"processing_time": processing_time,
"fusion_type": "cpu"
}
await self._handle_fusion_result(fusion_data, result)
except Exception as e:
logger.error(f"CPU fusion error: {e}")
await self._handle_fusion_error(fusion_data, str(e))
async def _handle_fusion_result(self, fusion_data: FusionData, result: Dict[str, Any]):
"""Handle successful fusion result"""
# Update metrics
self.fusion_metrics["total_fusions"] += 1
self.fusion_metrics["successful_fusions"] += 1
# Broadcast result
broadcast_data = {
"type": "fusion_result",
"stream_id": fusion_data.stream_id,
"stream_type": fusion_data.stream_type.value,
"result": result,
"timestamp": time.time()
}
await self.stream_manager.broadcast_to_all(broadcast_data, MessageType.IMPORTANT)
logger.info(f"Fusion completed for {fusion_data.stream_id}")
async def _handle_fusion_error(self, fusion_data: FusionData, error: str):
"""Handle fusion error"""
# Update metrics
self.fusion_metrics["total_fusions"] += 1
self.fusion_metrics["failed_fusions"] += 1
# Broadcast error
error_data = {
"type": "fusion_error",
"stream_id": fusion_data.stream_id,
"stream_type": fusion_data.stream_type.value,
"error": error,
"timestamp": time.time()
}
await self.stream_manager.broadcast_to_all(error_data, MessageType.CRITICAL)
logger.error(f"Fusion error for {fusion_data.stream_id}: {error}")
async def _select_gpu_provider(self, fusion_data: FusionData) -> Optional[str]:
"""Select best GPU provider based on load and performance"""
available_providers = []
for provider_id, provider in self.gpu_providers.items():
metrics = provider.get_metrics()
# Check if provider is available
if metrics["status"] == GPUProviderStatus.AVAILABLE.value:
available_providers.append((provider_id, metrics))
if not available_providers:
return None
# Select provider with lowest queue size and processing time
best_provider = min(
available_providers,
key=lambda x: (x[1]["queue_size"], x[1]["avg_processing_time"])
)
return best_provider[0]
async def _initialize_gpu_providers(self):
"""Initialize GPU providers"""
# Create mock GPU providers
provider_configs = [
{"provider_id": "gpu_1", "max_concurrent": 4},
{"provider_id": "gpu_2", "max_concurrent": 2},
{"provider_id": "gpu_3", "max_concurrent": 6}
]
for config in provider_configs:
provider = GPUProviderFlowControl(config["provider_id"])
provider.max_concurrent_requests = config["max_concurrent"]
await provider.start()
self.gpu_providers[config["provider_id"]] = provider
logger.info(f"Initialized {len(self.gpu_providers)} GPU providers")
async def _monitor_loop(self):
"""Monitor system performance and backpressure"""
while self._running:
try:
# Update global metrics
await self._update_global_metrics()
# Check backpressure
if self.backpressure_enabled:
await self._check_backpressure()
# Monitor GPU providers
await self._monitor_gpu_providers()
# Sleep
await asyncio.sleep(10) # Monitor every 10 seconds
except asyncio.CancelledError:
break
except Exception as e:
logger.error(f"Monitor loop error: {e}")
await asyncio.sleep(1)
async def _update_global_metrics(self):
"""Update global performance metrics"""
# Get stream manager metrics
manager_metrics = self.stream_manager.get_manager_metrics()
# Update global queue size
self.global_queue_size = manager_metrics["total_queue_size"]
# Calculate GPU utilization
total_gpu_util = 0
total_memory = 0
active_providers = 0
for provider in self.gpu_providers.values():
metrics = provider.get_metrics()
if metrics["status"] != GPUProviderStatus.OFFLINE.value:
total_gpu_util += metrics.get("gpu_utilization", 0)
total_memory += metrics.get("memory_usage", 0)
active_providers += 1
if active_providers > 0:
self.fusion_metrics["gpu_utilization"] = total_gpu_util / active_providers
self.fusion_metrics["memory_usage"] = total_memory / active_providers
async def _check_backpressure(self):
"""Check and handle backpressure"""
if self.global_queue_size > self.max_global_queue_size * 0.8:
logger.warning("High backpressure detected, applying flow control")
# Get slow streams
slow_streams = self.stream_manager.get_slow_streams(threshold=0.8)
# Handle slow streams
for stream_id in slow_streams:
await self.stream_manager.handle_slow_consumer(stream_id, "throttle")
async def _monitor_gpu_providers(self):
"""Monitor GPU provider health"""
for provider_id, provider in self.gpu_providers.items():
metrics = provider.get_metrics()
# Check for unhealthy providers
if metrics["status"] == GPUProviderStatus.OFFLINE.value:
logger.warning(f"GPU provider {provider_id} is offline")
elif metrics["error_rate"] > 0.1:
logger.warning(f"GPU provider {provider_id} has high error rate: {metrics['error_rate']}")
elif metrics["avg_processing_time"] > 5.0:
logger.warning(f"GPU provider {provider_id} is slow: {metrics['avg_processing_time']}s")
def get_comprehensive_metrics(self) -> Dict[str, Any]:
"""Get comprehensive system metrics"""
# Get stream manager metrics
stream_metrics = self.stream_manager.get_manager_metrics()
# Get GPU provider metrics
gpu_metrics = {}
for provider_id, provider in self.gpu_providers.items():
gpu_metrics[provider_id] = provider.get_metrics()
# Get fusion metrics
fusion_metrics = self.fusion_metrics.copy()
# Calculate success rate
if fusion_metrics["total_fusions"] > 0:
fusion_metrics["success_rate"] = (
fusion_metrics["successful_fusions"] / fusion_metrics["total_fusions"]
)
else:
fusion_metrics["success_rate"] = 0.0
return {
"timestamp": time.time(),
"system_status": "running" if self._running else "stopped",
"backpressure_enabled": self.backpressure_enabled,
"global_queue_size": self.global_queue_size,
"max_global_queue_size": self.max_global_queue_size,
"stream_metrics": stream_metrics,
"gpu_metrics": gpu_metrics,
"fusion_metrics": fusion_metrics,
"active_fusion_streams": len(self.fusion_streams),
"registered_gpu_providers": len(self.gpu_providers)
}
# Global fusion service instance
multimodal_fusion_service = MultiModalWebSocketFusion()

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"""
Secure Wallet Service - Fixed Version
Implements proper Ethereum cryptography and secure key storage
"""
from __future__ import annotations
import logging
from typing import List, Optional, Dict
from sqlalchemy import select
from sqlmodel import Session
from datetime import datetime
import secrets
from ..domain.wallet import (
AgentWallet, NetworkConfig, TokenBalance, WalletTransaction,
WalletType, TransactionStatus
)
from ..schemas.wallet import WalletCreate, TransactionRequest
from ..blockchain.contract_interactions import ContractInteractionService
# Import our fixed crypto utilities
from .wallet_crypto import (
generate_ethereum_keypair,
verify_keypair_consistency,
encrypt_private_key,
decrypt_private_key,
validate_private_key_format,
create_secure_wallet,
recover_wallet
)
logger = logging.getLogger(__name__)
class SecureWalletService:
"""Secure wallet service with proper cryptography and key management"""
def __init__(
self,
session: Session,
contract_service: ContractInteractionService
):
self.session = session
self.contract_service = contract_service
async def create_wallet(self, request: WalletCreate, encryption_password: str) -> AgentWallet:
"""
Create a new wallet with proper security
Args:
request: Wallet creation request
encryption_password: Strong password for private key encryption
Returns:
Created wallet record
Raises:
ValueError: If password is weak or wallet already exists
"""
# Validate password strength
from ..utils.security import validate_password_strength
password_validation = validate_password_strength(encryption_password)
if not password_validation["is_acceptable"]:
raise ValueError(
f"Password too weak: {', '.join(password_validation['issues'])}"
)
# Check if agent already has an active wallet of this type
existing = self.session.exec(
select(AgentWallet).where(
AgentWallet.agent_id == request.agent_id,
AgentWallet.wallet_type == request.wallet_type,
AgentWallet.is_active == True
)
).first()
if existing:
raise ValueError(f"Agent {request.agent_id} already has an active {request.wallet_type} wallet")
try:
# Generate proper Ethereum keypair
private_key, public_key, address = generate_ethereum_keypair()
# Verify keypair consistency
if not verify_keypair_consistency(private_key, address):
raise RuntimeError("Keypair generation failed consistency check")
# Encrypt private key securely
encrypted_data = encrypt_private_key(private_key, encryption_password)
# Create wallet record
wallet = AgentWallet(
agent_id=request.agent_id,
address=address,
public_key=public_key,
wallet_type=request.wallet_type,
metadata=request.metadata,
encrypted_private_key=encrypted_data,
encryption_version="1.0",
created_at=datetime.utcnow()
)
self.session.add(wallet)
self.session.commit()
self.session.refresh(wallet)
logger.info(f"Created secure wallet {wallet.address} for agent {request.agent_id}")
return wallet
except Exception as e:
logger.error(f"Failed to create secure wallet: {e}")
self.session.rollback()
raise
async def get_wallet_by_agent(self, agent_id: str) -> List[AgentWallet]:
"""Retrieve all active wallets for an agent"""
return self.session.exec(
select(AgentWallet).where(
AgentWallet.agent_id == agent_id,
AgentWallet.is_active == True
)
).all()
async def get_wallet_with_private_key(
self,
wallet_id: int,
encryption_password: str
) -> Dict[str, str]:
"""
Get wallet with decrypted private key (for signing operations)
Args:
wallet_id: Wallet ID
encryption_password: Password for decryption
Returns:
Wallet keys including private key
Raises:
ValueError: If decryption fails or wallet not found
"""
wallet = self.session.get(AgentWallet, wallet_id)
if not wallet:
raise ValueError("Wallet not found")
if not wallet.is_active:
raise ValueError("Wallet is not active")
try:
# Decrypt private key
if isinstance(wallet.encrypted_private_key, dict):
# New format
keys = recover_wallet(wallet.encrypted_private_key, encryption_password)
else:
# Legacy format - cannot decrypt securely
raise ValueError(
"Wallet uses legacy encryption format. "
"Please migrate to secure encryption."
)
return {
"wallet_id": wallet_id,
"address": wallet.address,
"private_key": keys["private_key"],
"public_key": keys["public_key"],
"agent_id": wallet.agent_id
}
except Exception as e:
logger.error(f"Failed to decrypt wallet {wallet_id}: {e}")
raise ValueError(f"Failed to access wallet: {str(e)}")
async def verify_wallet_integrity(self, wallet_id: int) -> Dict[str, bool]:
"""
Verify wallet cryptographic integrity
Args:
wallet_id: Wallet ID
Returns:
Integrity check results
"""
wallet = self.session.get(AgentWallet, wallet_id)
if not wallet:
return {"exists": False}
results = {
"exists": True,
"active": wallet.is_active,
"has_encrypted_key": bool(wallet.encrypted_private_key),
"address_format_valid": False,
"public_key_present": bool(wallet.public_key)
}
# Validate address format
try:
from eth_utils import to_checksum_address
to_checksum_address(wallet.address)
results["address_format_valid"] = True
except:
pass
# Check if we can verify the keypair consistency
# (We can't do this without the password, but we can check the format)
if wallet.public_key and wallet.encrypted_private_key:
results["has_keypair_data"] = True
return results
async def migrate_wallet_encryption(
self,
wallet_id: int,
old_password: str,
new_password: str
) -> AgentWallet:
"""
Migrate wallet from old encryption to new secure encryption
Args:
wallet_id: Wallet ID
old_password: Current password
new_password: New strong password
Returns:
Updated wallet
"""
wallet = self.session.get(AgentWallet, wallet_id)
if not wallet:
raise ValueError("Wallet not found")
try:
# Get current private key
current_keys = await self.get_wallet_with_private_key(wallet_id, old_password)
# Validate new password
from ..utils.security import validate_password_strength
password_validation = validate_password_strength(new_password)
if not password_validation["is_acceptable"]:
raise ValueError(
f"New password too weak: {', '.join(password_validation['issues'])}"
)
# Re-encrypt with new password
new_encrypted_data = encrypt_private_key(current_keys["private_key"], new_password)
# Update wallet
wallet.encrypted_private_key = new_encrypted_data
wallet.encryption_version = "1.0"
wallet.updated_at = datetime.utcnow()
self.session.commit()
self.session.refresh(wallet)
logger.info(f"Migrated wallet {wallet_id} to secure encryption")
return wallet
except Exception as e:
logger.error(f"Failed to migrate wallet {wallet_id}: {e}")
self.session.rollback()
raise
async def get_balances(self, wallet_id: int) -> List[TokenBalance]:
"""Get all tracked balances for a wallet"""
return self.session.exec(
select(TokenBalance).where(TokenBalance.wallet_id == wallet_id)
).all()
async def update_balance(self, wallet_id: int, chain_id: int, token_address: str, balance: float) -> TokenBalance:
"""Update a specific token balance for a wallet"""
record = self.session.exec(
select(TokenBalance).where(
TokenBalance.wallet_id == wallet_id,
TokenBalance.chain_id == chain_id,
TokenBalance.token_address == token_address
)
).first()
if record:
record.balance = balance
record.updated_at = datetime.utcnow()
else:
record = TokenBalance(
wallet_id=wallet_id,
chain_id=chain_id,
token_address=token_address,
balance=balance,
updated_at=datetime.utcnow()
)
self.session.add(record)
self.session.commit()
self.session.refresh(record)
return record
async def create_transaction(
self,
wallet_id: int,
request: TransactionRequest,
encryption_password: str
) -> WalletTransaction:
"""
Create a transaction with proper signing
Args:
wallet_id: Wallet ID
request: Transaction request
encryption_password: Password for private key access
Returns:
Created transaction record
"""
# Get wallet keys
wallet_keys = await self.get_wallet_with_private_key(wallet_id, encryption_password)
# Create transaction record
transaction = WalletTransaction(
wallet_id=wallet_id,
to_address=request.to_address,
amount=request.amount,
token_address=request.token_address,
chain_id=request.chain_id,
data=request.data or "",
status=TransactionStatus.PENDING,
created_at=datetime.utcnow()
)
self.session.add(transaction)
self.session.commit()
self.session.refresh(transaction)
# TODO: Implement actual blockchain transaction signing and submission
# This would use the private_key to sign the transaction
logger.info(f"Created transaction {transaction.id} for wallet {wallet_id}")
return transaction
async def deactivate_wallet(self, wallet_id: int, reason: str = "User request") -> bool:
"""Deactivate a wallet"""
wallet = self.session.get(AgentWallet, wallet_id)
if not wallet:
return False
wallet.is_active = False
wallet.updated_at = datetime.utcnow()
wallet.deactivation_reason = reason
self.session.commit()
logger.info(f"Deactivated wallet {wallet_id}: {reason}")
return True
async def get_wallet_security_audit(self, wallet_id: int) -> Dict[str, Any]:
"""
Get comprehensive security audit for a wallet
Args:
wallet_id: Wallet ID
Returns:
Security audit results
"""
wallet = self.session.get(AgentWallet, wallet_id)
if not wallet:
return {"error": "Wallet not found"}
audit = {
"wallet_id": wallet_id,
"agent_id": wallet.agent_id,
"address": wallet.address,
"is_active": wallet.is_active,
"encryption_version": getattr(wallet, 'encryption_version', 'unknown'),
"created_at": wallet.created_at.isoformat() if wallet.created_at else None,
"updated_at": wallet.updated_at.isoformat() if wallet.updated_at else None
}
# Check encryption security
if isinstance(wallet.encrypted_private_key, dict):
audit["encryption_secure"] = True
audit["encryption_algorithm"] = wallet.encrypted_private_key.get("algorithm")
audit["encryption_iterations"] = wallet.encrypted_private_key.get("iterations")
else:
audit["encryption_secure"] = False
audit["encryption_issues"] = ["Uses legacy or broken encryption"]
# Check address format
try:
from eth_utils import to_checksum_address
to_checksum_address(wallet.address)
audit["address_valid"] = True
except:
audit["address_valid"] = False
audit["address_issues"] = ["Invalid Ethereum address format"]
# Check keypair data
audit["has_public_key"] = bool(wallet.public_key)
audit["has_encrypted_private_key"] = bool(wallet.encrypted_private_key)
# Overall security score
security_score = 0
if audit["encryption_secure"]:
security_score += 40
if audit["address_valid"]:
security_score += 30
if audit["has_public_key"]:
security_score += 15
if audit["has_encrypted_private_key"]:
security_score += 15
audit["security_score"] = security_score
audit["security_level"] = (
"Excellent" if security_score >= 90 else
"Good" if security_score >= 70 else
"Fair" if security_score >= 50 else
"Poor"
)
return audit

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"""
Secure Cryptographic Operations for Agent Wallets
Fixed implementation using proper Ethereum cryptography
"""
import secrets
from typing import Tuple, Dict, Any
from eth_account import Account
from eth_utils import to_checksum_address
from cryptography.fernet import Fernet
from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
from cryptography.hazmat.primitives import hashes
import base64
import hashlib
def generate_ethereum_keypair() -> Tuple[str, str, str]:
"""
Generate proper Ethereum keypair using secp256k1
Returns:
Tuple of (private_key, public_key, address)
"""
# Use eth_account which properly implements secp256k1
account = Account.create()
private_key = account.key.hex()
public_key = account._private_key.public_key.to_hex()
address = account.address
return private_key, public_key, address
def verify_keypair_consistency(private_key: str, expected_address: str) -> bool:
"""
Verify that a private key generates the expected address
Args:
private_key: 32-byte private key hex
expected_address: Expected Ethereum address
Returns:
True if keypair is consistent
"""
try:
account = Account.from_key(private_key)
return to_checksum_address(account.address) == to_checksum_address(expected_address)
except Exception:
return False
def derive_secure_key(password: str, salt: bytes = None) -> bytes:
"""
Derive secure encryption key using PBKDF2
Args:
password: User password
salt: Optional salt (generated if not provided)
Returns:
Tuple of (key, salt) for storage
"""
if salt is None:
salt = secrets.token_bytes(32)
kdf = PBKDF2HMAC(
algorithm=hashes.SHA256(),
length=32,
salt=salt,
iterations=600_000, # OWASP recommended minimum
)
key = kdf.derive(password.encode())
return base64.urlsafe_b64encode(key), salt
def encrypt_private_key(private_key: str, password: str) -> Dict[str, str]:
"""
Encrypt private key with proper KDF and Fernet
Args:
private_key: 32-byte private key hex
password: User password
Returns:
Dict with encrypted data and salt
"""
# Derive encryption key
fernet_key, salt = derive_secure_key(password)
# Encrypt
f = Fernet(fernet_key)
encrypted = f.encrypt(private_key.encode())
return {
"encrypted_key": encrypted.decode(),
"salt": base64.b64encode(salt).decode(),
"algorithm": "PBKDF2-SHA256-Fernet",
"iterations": 600_000
}
def decrypt_private_key(encrypted_data: Dict[str, str], password: str) -> str:
"""
Decrypt private key with proper verification
Args:
encrypted_data: Dict with encrypted key and salt
password: User password
Returns:
Decrypted private key
Raises:
ValueError: If decryption fails
"""
try:
# Extract salt and encrypted key
salt = base64.b64decode(encrypted_data["salt"])
encrypted_key = encrypted_data["encrypted_key"].encode()
# Derive same key
fernet_key, _ = derive_secure_key(password, salt)
# Decrypt
f = Fernet(fernet_key)
decrypted = f.decrypt(encrypted_key)
return decrypted.decode()
except Exception as e:
raise ValueError(f"Failed to decrypt private key: {str(e)}")
def validate_private_key_format(private_key: str) -> bool:
"""
Validate private key format
Args:
private_key: Private key to validate
Returns:
True if format is valid
"""
try:
# Remove 0x prefix if present
if private_key.startswith("0x"):
private_key = private_key[2:]
# Check length (32 bytes = 64 hex chars)
if len(private_key) != 64:
return False
# Check if valid hex
int(private_key, 16)
# Try to create account to verify it's a valid secp256k1 key
Account.from_key("0x" + private_key)
return True
except Exception:
return False
# Security configuration constants
class SecurityConfig:
"""Security configuration constants"""
# PBKDF2 settings
PBKDF2_ITERATIONS = 600_000
PBKDF2_ALGORITHM = hashes.SHA256
SALT_LENGTH = 32
# Fernet settings
FERNET_KEY_LENGTH = 32
# Validation
PRIVATE_KEY_LENGTH = 64 # 32 bytes in hex
ADDRESS_LENGTH = 40 # 20 bytes in hex (without 0x)
# Backward compatibility wrapper for existing code
def create_secure_wallet(agent_id: str, password: str) -> Dict[str, Any]:
"""
Create a wallet with proper security
Args:
agent_id: Agent identifier
password: Strong password for encryption
Returns:
Wallet data with encrypted private key
"""
# Generate proper keypair
private_key, public_key, address = generate_ethereum_keypair()
# Validate consistency
if not verify_keypair_consistency(private_key, address):
raise RuntimeError("Keypair generation failed consistency check")
# Encrypt private key
encrypted_data = encrypt_private_key(private_key, password)
return {
"agent_id": agent_id,
"address": address,
"public_key": public_key,
"encrypted_private_key": encrypted_data,
"created_at": secrets.token_hex(16), # For tracking
"version": "1.0"
}
def recover_wallet(encrypted_data: Dict[str, str], password: str) -> Dict[str, str]:
"""
Recover wallet from encrypted data
Args:
encrypted_data: Encrypted wallet data
password: Password for decryption
Returns:
Wallet keys
"""
# Decrypt private key
private_key = decrypt_private_key(encrypted_data, password)
# Validate format
if not validate_private_key_format(private_key):
raise ValueError("Decrypted private key has invalid format")
# Derive address and public key to verify
account = Account.from_key("0x" + private_key)
return {
"private_key": private_key,
"public_key": account._private_key.public_key.to_hex(),
"address": account.address
}

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"""
WebSocket Stream Manager with Backpressure Control
Advanced WebSocket stream architecture with per-stream flow control,
bounded queues, and event loop protection for multi-modal fusion.
"""
import asyncio
import json
import time
import weakref
from typing import Dict, List, Optional, Any, Callable, Set, Union
from dataclasses import dataclass, field
from enum import Enum
from collections import deque
import uuid
from contextlib import asynccontextmanager
import websockets
from websockets.server import WebSocketServerProtocol
from websockets.exceptions import ConnectionClosed
from aitbc.logging import get_logger
logger = get_logger(__name__)
class StreamStatus(Enum):
"""Stream connection status"""
CONNECTING = "connecting"
CONNECTED = "connected"
SLOW_CONSUMER = "slow_consumer"
BACKPRESSURE = "backpressure"
DISCONNECTED = "disconnected"
ERROR = "error"
class MessageType(Enum):
"""Message types for stream classification"""
CRITICAL = "critical" # High priority, must deliver
IMPORTANT = "important" # Normal priority
BULK = "bulk" # Low priority, can be dropped
CONTROL = "control" # Stream control messages
@dataclass
class StreamMessage:
"""Message with priority and metadata"""
data: Any
message_type: MessageType
timestamp: float = field(default_factory=time.time)
message_id: str = field(default_factory=lambda: str(uuid.uuid4()))
retry_count: int = 0
max_retries: int = 3
def to_dict(self) -> Dict[str, Any]:
return {
"id": self.message_id,
"type": self.message_type.value,
"timestamp": self.timestamp,
"data": self.data
}
@dataclass
class StreamMetrics:
"""Metrics for stream performance monitoring"""
messages_sent: int = 0
messages_dropped: int = 0
bytes_sent: int = 0
last_send_time: float = 0
avg_send_time: float = 0
queue_size: int = 0
backpressure_events: int = 0
slow_consumer_events: int = 0
def update_send_metrics(self, send_time: float, message_size: int):
"""Update send performance metrics"""
self.messages_sent += 1
self.bytes_sent += message_size
self.last_send_time = time.time()
# Update average send time
if self.messages_sent == 1:
self.avg_send_time = send_time
else:
self.avg_send_time = (self.avg_send_time * (self.messages_sent - 1) + send_time) / self.messages_sent
@dataclass
class StreamConfig:
"""Configuration for individual streams"""
max_queue_size: int = 1000
send_timeout: float = 5.0
heartbeat_interval: float = 30.0
slow_consumer_threshold: float = 0.5 # seconds
backpressure_threshold: float = 0.8 # queue fill ratio
drop_bulk_threshold: float = 0.9 # queue fill ratio for bulk messages
enable_compression: bool = True
priority_send: bool = True
class BoundedMessageQueue:
"""Bounded queue with priority and backpressure handling"""
def __init__(self, max_size: int = 1000):
self.max_size = max_size
self.queues = {
MessageType.CRITICAL: deque(maxlen=max_size // 4),
MessageType.IMPORTANT: deque(maxlen=max_size // 2),
MessageType.BULK: deque(maxlen=max_size // 4),
MessageType.CONTROL: deque(maxlen=100) # Small control queue
}
self.total_size = 0
self._lock = asyncio.Lock()
async def put(self, message: StreamMessage) -> bool:
"""Add message to queue with backpressure handling"""
async with self._lock:
# Check if we're at capacity
if self.total_size >= self.max_size:
# Drop bulk messages first
if message.message_type == MessageType.BULK:
return False
# Drop oldest important messages if critical
if message.message_type == MessageType.IMPORTANT:
if self.queues[MessageType.IMPORTANT]:
self.queues[MessageType.IMPORTANT].popleft()
self.total_size -= 1
else:
return False
# Always allow critical messages (drop oldest if needed)
if message.message_type == MessageType.CRITICAL:
if self.queues[MessageType.CRITICAL]:
self.queues[MessageType.CRITICAL].popleft()
self.total_size -= 1
self.queues[message.message_type].append(message)
self.total_size += 1
return True
async def get(self) -> Optional[StreamMessage]:
"""Get next message by priority"""
async with self._lock:
# Priority order: CONTROL > CRITICAL > IMPORTANT > BULK
for message_type in [MessageType.CONTROL, MessageType.CRITICAL,
MessageType.IMPORTANT, MessageType.BULK]:
if self.queues[message_type]:
message = self.queues[message_type].popleft()
self.total_size -= 1
return message
return None
def size(self) -> int:
"""Get total queue size"""
return self.total_size
def fill_ratio(self) -> float:
"""Get queue fill ratio"""
return self.total_size / self.max_size
class WebSocketStream:
"""Individual WebSocket stream with backpressure control"""
def __init__(self, websocket: WebSocketServerProtocol,
stream_id: str, config: StreamConfig):
self.websocket = websocket
self.stream_id = stream_id
self.config = config
self.status = StreamStatus.CONNECTING
self.queue = BoundedMessageQueue(config.max_queue_size)
self.metrics = StreamMetrics()
self.last_heartbeat = time.time()
self.slow_consumer_count = 0
# Event loop protection
self._send_lock = asyncio.Lock()
self._sender_task = None
self._heartbeat_task = None
self._running = False
# Weak reference for cleanup
self._finalizer = weakref.finalize(self, self._cleanup)
async def start(self):
"""Start stream processing"""
if self._running:
return
self._running = True
self.status = StreamStatus.CONNECTED
# Start sender task
self._sender_task = asyncio.create_task(self._sender_loop())
# Start heartbeat task
self._heartbeat_task = asyncio.create_task(self._heartbeat_loop())
logger.info(f"Stream {self.stream_id} started")
async def stop(self):
"""Stop stream processing"""
if not self._running:
return
self._running = False
self.status = StreamStatus.DISCONNECTED
# Cancel tasks
if self._sender_task:
self._sender_task.cancel()
try:
await self._sender_task
except asyncio.CancelledError:
pass
if self._heartbeat_task:
self._heartbeat_task.cancel()
try:
await self._heartbeat_task
except asyncio.CancelledError:
pass
logger.info(f"Stream {self.stream_id} stopped")
async def send_message(self, data: Any, message_type: MessageType = MessageType.IMPORTANT) -> bool:
"""Send message with backpressure handling"""
if not self._running:
return False
message = StreamMessage(data=data, message_type=message_type)
# Check backpressure
queue_ratio = self.queue.fill_ratio()
if queue_ratio > self.config.backpressure_threshold:
self.status = StreamStatus.BACKPRESSURE
self.metrics.backpressure_events += 1
# Drop bulk messages under backpressure
if message_type == MessageType.BULK and queue_ratio > self.config.drop_bulk_threshold:
self.metrics.messages_dropped += 1
return False
# Add to queue
success = await self.queue.put(message)
if not success:
self.metrics.messages_dropped += 1
return success
async def _sender_loop(self):
"""Main sender loop with backpressure control"""
while self._running:
try:
# Get next message
message = await self.queue.get()
if message is None:
await asyncio.sleep(0.01)
continue
# Send with timeout and backpressure protection
start_time = time.time()
success = await self._send_with_backpressure(message)
send_time = time.time() - start_time
if success:
message_size = len(json.dumps(message.to_dict()).encode())
self.metrics.update_send_metrics(send_time, message_size)
else:
# Retry logic
message.retry_count += 1
if message.retry_count < message.max_retries:
await self.queue.put(message)
else:
self.metrics.messages_dropped += 1
logger.warning(f"Message {message.message_id} dropped after max retries")
# Check for slow consumer
if send_time > self.config.slow_consumer_threshold:
self.slow_consumer_count += 1
self.metrics.slow_consumer_events += 1
if self.slow_consumer_count > 5: # Threshold for slow consumer detection
self.status = StreamStatus.SLOW_CONSUMER
logger.warning(f"Stream {self.stream_id} detected as slow consumer")
except asyncio.CancelledError:
break
except Exception as e:
logger.error(f"Error in sender loop for stream {self.stream_id}: {e}")
await asyncio.sleep(0.1)
async def _send_with_backpressure(self, message: StreamMessage) -> bool:
"""Send message with backpressure and timeout protection"""
try:
async with self._send_lock:
# Use asyncio.wait_for for timeout protection
message_data = message.to_dict()
if self.config.enable_compression:
# Compress large messages
message_str = json.dumps(message_data, separators=(',', ':'))
if len(message_str) > 1024: # Compress messages > 1KB
message_data['_compressed'] = True
message_str = json.dumps(message_data, separators=(',', ':'))
else:
message_str = json.dumps(message_data)
# Send with timeout
await asyncio.wait_for(
self.websocket.send(message_str),
timeout=self.config.send_timeout
)
return True
except asyncio.TimeoutError:
logger.warning(f"Send timeout for stream {self.stream_id}")
return False
except ConnectionClosed:
logger.info(f"Connection closed for stream {self.stream_id}")
await self.stop()
return False
except Exception as e:
logger.error(f"Send error for stream {self.stream_id}: {e}")
return False
async def _heartbeat_loop(self):
"""Heartbeat loop for connection health monitoring"""
while self._running:
try:
await asyncio.sleep(self.config.heartbeat_interval)
if not self._running:
break
# Send heartbeat
heartbeat_msg = {
"type": "heartbeat",
"timestamp": time.time(),
"stream_id": self.stream_id,
"queue_size": self.queue.size(),
"status": self.status.value
}
await self.send_message(heartbeat_msg, MessageType.CONTROL)
self.last_heartbeat = time.time()
except asyncio.CancelledError:
break
except Exception as e:
logger.error(f"Heartbeat error for stream {self.stream_id}: {e}")
def get_metrics(self) -> Dict[str, Any]:
"""Get stream metrics"""
return {
"stream_id": self.stream_id,
"status": self.status.value,
"queue_size": self.queue.size(),
"queue_fill_ratio": self.queue.fill_ratio(),
"messages_sent": self.metrics.messages_sent,
"messages_dropped": self.metrics.messages_dropped,
"bytes_sent": self.metrics.bytes_sent,
"avg_send_time": self.metrics.avg_send_time,
"backpressure_events": self.metrics.backpressure_events,
"slow_consumer_events": self.metrics.slow_consumer_events,
"last_heartbeat": self.last_heartbeat
}
def _cleanup(self):
"""Cleanup resources"""
if self._running:
# This should be called by garbage collector
logger.warning(f"Stream {self.stream_id} cleanup called while running")
class WebSocketStreamManager:
"""Manages multiple WebSocket streams with backpressure control"""
def __init__(self, default_config: Optional[StreamConfig] = None):
self.default_config = default_config or StreamConfig()
self.streams: Dict[str, WebSocketStream] = {}
self.stream_configs: Dict[str, StreamConfig] = {}
# Global metrics
self.total_connections = 0
self.total_messages_sent = 0
self.total_messages_dropped = 0
# Event loop protection
self._manager_lock = asyncio.Lock()
self._cleanup_task = None
self._running = False
# Message broadcasting
self._broadcast_queue = asyncio.Queue(maxsize=10000)
self._broadcast_task = None
async def start(self):
"""Start the stream manager"""
if self._running:
return
self._running = True
# Start cleanup task
self._cleanup_task = asyncio.create_task(self._cleanup_loop())
# Start broadcast task
self._broadcast_task = asyncio.create_task(self._broadcast_loop())
logger.info("WebSocket Stream Manager started")
async def stop(self):
"""Stop the stream manager"""
if not self._running:
return
self._running = False
# Stop all streams
streams_to_stop = list(self.streams.values())
for stream in streams_to_stop:
await stream.stop()
# Cancel tasks
if self._cleanup_task:
self._cleanup_task.cancel()
try:
await self._cleanup_task
except asyncio.CancelledError:
pass
if self._broadcast_task:
self._broadcast_task.cancel()
try:
await self._broadcast_task
except asyncio.CancelledError:
pass
logger.info("WebSocket Stream Manager stopped")
async def manage_stream(self, websocket: WebSocketServerProtocol,
config: Optional[StreamConfig] = None):
"""Context manager for stream lifecycle"""
stream_id = str(uuid.uuid4())
stream_config = config or self.default_config
stream = None
try:
# Create and start stream
stream = WebSocketStream(websocket, stream_id, stream_config)
await stream.start()
async with self._manager_lock:
self.streams[stream_id] = stream
self.stream_configs[stream_id] = stream_config
self.total_connections += 1
logger.info(f"Stream {stream_id} added to manager")
yield stream
except Exception as e:
logger.error(f"Error managing stream {stream_id}: {e}")
raise
finally:
# Cleanup stream
if stream and stream_id in self.streams:
await stream.stop()
async with self._manager_lock:
del self.streams[stream_id]
if stream_id in self.stream_configs:
del self.stream_configs[stream_id]
self.total_connections -= 1
logger.info(f"Stream {stream_id} removed from manager")
async def broadcast_to_all(self, data: Any, message_type: MessageType = MessageType.IMPORTANT):
"""Broadcast message to all streams"""
if not self._running:
return
try:
await self._broadcast_queue.put((data, message_type))
except asyncio.QueueFull:
logger.warning("Broadcast queue full, dropping message")
self.total_messages_dropped += 1
async def broadcast_to_stream(self, stream_id: str, data: Any,
message_type: MessageType = MessageType.IMPORTANT):
"""Send message to specific stream"""
async with self._manager_lock:
stream = self.streams.get(stream_id)
if stream:
await stream.send_message(data, message_type)
async def _broadcast_loop(self):
"""Broadcast messages to all streams"""
while self._running:
try:
# Get broadcast message
data, message_type = await self._broadcast_queue.get()
# Send to all streams concurrently
tasks = []
async with self._manager_lock:
streams = list(self.streams.values())
for stream in streams:
task = asyncio.create_task(
stream.send_message(data, message_type)
)
tasks.append(task)
# Wait for all sends (with timeout)
if tasks:
try:
await asyncio.wait_for(
asyncio.gather(*tasks, return_exceptions=True),
timeout=1.0
)
except asyncio.TimeoutError:
logger.warning("Broadcast timeout, some streams may be slow")
self.total_messages_sent += 1
except asyncio.CancelledError:
break
except Exception as e:
logger.error(f"Error in broadcast loop: {e}")
await asyncio.sleep(0.1)
async def _cleanup_loop(self):
"""Cleanup disconnected streams"""
while self._running:
try:
await asyncio.sleep(60) # Cleanup every minute
disconnected_streams = []
async with self._manager_lock:
for stream_id, stream in self.streams.items():
if stream.status == StreamStatus.DISCONNECTED:
disconnected_streams.append(stream_id)
# Remove disconnected streams
for stream_id in disconnected_streams:
if stream_id in self.streams:
stream = self.streams[stream_id]
await stream.stop()
del self.streams[stream_id]
if stream_id in self.stream_configs:
del self.stream_configs[stream_id]
self.total_connections -= 1
logger.info(f"Cleaned up disconnected stream {stream_id}")
except asyncio.CancelledError:
break
except Exception as e:
logger.error(f"Error in cleanup loop: {e}")
async def get_manager_metrics(self) -> Dict[str, Any]:
"""Get comprehensive manager metrics"""
async with self._manager_lock:
stream_metrics = []
for stream in self.streams.values():
stream_metrics.append(stream.get_metrics())
# Calculate aggregate metrics
total_queue_size = sum(m["queue_size"] for m in stream_metrics)
total_messages_sent = sum(m["messages_sent"] for m in stream_metrics)
total_messages_dropped = sum(m["messages_dropped"] for m in stream_metrics)
total_bytes_sent = sum(m["bytes_sent"] for m in stream_metrics)
# Status distribution
status_counts = {}
for stream in self.streams.values():
status = stream.status.value
status_counts[status] = status_counts.get(status, 0) + 1
return {
"manager_status": "running" if self._running else "stopped",
"total_connections": self.total_connections,
"active_streams": len(self.streams),
"total_queue_size": total_queue_size,
"total_messages_sent": total_messages_sent,
"total_messages_dropped": total_messages_dropped,
"total_bytes_sent": total_bytes_sent,
"broadcast_queue_size": self._broadcast_queue.qsize(),
"stream_status_distribution": status_counts,
"stream_metrics": stream_metrics
}
async def update_stream_config(self, stream_id: str, config: StreamConfig):
"""Update configuration for specific stream"""
async with self._manager_lock:
if stream_id in self.streams:
self.stream_configs[stream_id] = config
# Stream will use new config on next send
logger.info(f"Updated config for stream {stream_id}")
def get_slow_streams(self, threshold: float = 0.8) -> List[str]:
"""Get streams with high queue fill ratios"""
slow_streams = []
for stream_id, stream in self.streams.items():
if stream.queue.fill_ratio() > threshold:
slow_streams.append(stream_id)
return slow_streams
async def handle_slow_consumer(self, stream_id: str, action: str = "warn"):
"""Handle slow consumer streams"""
async with self._manager_lock:
stream = self.streams.get(stream_id)
if not stream:
return
if action == "warn":
logger.warning(f"Slow consumer detected: {stream_id}")
await stream.send_message(
{"warning": "Slow consumer detected", "stream_id": stream_id},
MessageType.CONTROL
)
elif action == "throttle":
# Reduce queue size for slow consumer
new_config = StreamConfig(
max_queue_size=stream.config.max_queue_size // 2,
send_timeout=stream.config.send_timeout * 2
)
await self.update_stream_config(stream_id, new_config)
logger.info(f"Throttled slow consumer: {stream_id}")
elif action == "disconnect":
logger.warning(f"Disconnecting slow consumer: {stream_id}")
await stream.stop()
# Global stream manager instance
stream_manager = WebSocketStreamManager()

View File

@@ -7,7 +7,7 @@ from fastapi import APIRouter, Depends
from .deps import get_receipt_service, get_keystore, get_ledger
from .models import ReceiptVerificationModel, from_validation_result
from .keystore.service import KeystoreService
from .keystore.persistent_service import PersistentKeystoreService
from .ledger_mock import SQLiteLedgerAdapter
from .receipts.service import ReceiptVerifierService

View File

@@ -23,7 +23,7 @@ from .models import (
WalletDescriptor,
from_validation_result,
)
from .keystore.service import KeystoreService
from .keystore.persistent_service import PersistentKeystoreService
from .ledger_mock import SQLiteLedgerAdapter
from .receipts.service import ReceiptValidationResult, ReceiptVerifierService
from .security import RateLimiter, wipe_buffer
@@ -85,7 +85,7 @@ def verify_receipt_history(
@router.get("/wallets", response_model=WalletListResponse, summary="List wallets")
def list_wallets(
keystore: KeystoreService = Depends(get_keystore),
keystore: PersistentKeystoreService = Depends(get_keystore),
ledger: SQLiteLedgerAdapter = Depends(get_ledger),
) -> WalletListResponse:
descriptors = []
@@ -102,7 +102,7 @@ def list_wallets(
def create_wallet(
request: WalletCreateRequest,
http_request: Request,
keystore: KeystoreService = Depends(get_keystore),
keystore: PersistentKeystoreService = Depends(get_keystore),
ledger: SQLiteLedgerAdapter = Depends(get_ledger),
) -> WalletCreateResponse:
_enforce_limit("wallet-create", http_request)
@@ -113,11 +113,13 @@ def create_wallet(
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="invalid base64 secret") from exc
try:
ip_address = http_request.client.host if http_request.client else "unknown"
record = keystore.create_wallet(
wallet_id=request.wallet_id,
password=request.password,
secret=secret,
metadata=request.metadata,
ip_address=ip_address
)
except ValueError as exc:
raise HTTPException(
@@ -137,16 +139,18 @@ def unlock_wallet(
wallet_id: str,
request: WalletUnlockRequest,
http_request: Request,
keystore: KeystoreService = Depends(get_keystore),
keystore: PersistentKeystoreService = Depends(get_keystore),
ledger: SQLiteLedgerAdapter = Depends(get_ledger),
) -> WalletUnlockResponse:
_enforce_limit("wallet-unlock", http_request, wallet_id)
try:
secret = bytearray(keystore.unlock_wallet(wallet_id, request.password))
ledger.record_event(wallet_id, "unlocked", {"success": True})
ip_address = http_request.client.host if http_request.client else "unknown"
secret = bytearray(keystore.unlock_wallet(wallet_id, request.password, ip_address))
ledger.record_event(wallet_id, "unlocked", {"success": True, "ip_address": ip_address})
logger.info("Unlocked wallet", extra={"wallet_id": wallet_id})
except (KeyError, ValueError):
ledger.record_event(wallet_id, "unlocked", {"success": False})
ip_address = http_request.client.host if http_request.client else "unknown"
ledger.record_event(wallet_id, "unlocked", {"success": False, "ip_address": ip_address})
raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="invalid credentials")
finally:
if "secret" in locals():
@@ -160,7 +164,7 @@ def sign_payload(
wallet_id: str,
request: WalletSignRequest,
http_request: Request,
keystore: KeystoreService = Depends(get_keystore),
keystore: PersistentKeystoreService = Depends(get_keystore),
ledger: SQLiteLedgerAdapter = Depends(get_ledger),
) -> WalletSignResponse:
_enforce_limit("wallet-sign", http_request, wallet_id)
@@ -170,11 +174,13 @@ def sign_payload(
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="invalid base64 message") from exc
try:
signature = keystore.sign_message(wallet_id, request.password, message)
ledger.record_event(wallet_id, "sign", {"success": True})
ip_address = http_request.client.host if http_request.client else "unknown"
signature = keystore.sign_message(wallet_id, request.password, message, ip_address)
ledger.record_event(wallet_id, "sign", {"success": True, "ip_address": ip_address})
logger.debug("Signed payload", extra={"wallet_id": wallet_id})
except (KeyError, ValueError):
ledger.record_event(wallet_id, "sign", {"success": False})
ip_address = http_request.client.host if http_request.client else "unknown"
ledger.record_event(wallet_id, "sign", {"success": False, "ip_address": ip_address})
raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="invalid credentials")
signature_b64 = base64.b64encode(signature).decode()

View File

@@ -6,6 +6,7 @@ from fastapi import Depends
from .keystore.service import KeystoreService
from .ledger_mock import SQLiteLedgerAdapter
from .keystore.persistent_service import PersistentKeystoreService
from .receipts.service import ReceiptVerifierService
from .settings import Settings, settings
@@ -22,8 +23,8 @@ def get_receipt_service(config: Settings = Depends(get_settings)) -> ReceiptVeri
@lru_cache
def get_keystore() -> KeystoreService:
return KeystoreService()
def get_keystore(config: Settings = Depends(get_settings)) -> PersistentKeystoreService:
return PersistentKeystoreService(db_path=config.ledger_db_path.parent / "keystore.db")
def get_ledger(config: Settings = Depends(get_settings)) -> SQLiteLedgerAdapter:

View File

@@ -0,0 +1,396 @@
"""
Persistent Keystore Service - Fixes data loss on restart
Replaces the in-memory-only keystore with database persistence
"""
from __future__ import annotations
import json
import sqlite3
import threading
from dataclasses import dataclass, asdict
from pathlib import Path
from typing import Dict, Iterable, List, Optional
from secrets import token_bytes
from nacl.signing import SigningKey
from ..crypto.encryption import EncryptionSuite, EncryptionError
from ..security import validate_password_rules, wipe_buffer
@dataclass
class WalletRecord:
"""Wallet record with database persistence"""
wallet_id: str
public_key: str
salt: bytes
nonce: bytes
ciphertext: bytes
metadata: Dict[str, str]
created_at: str
updated_at: str
class PersistentKeystoreService:
"""Persistent keystore with database storage and proper encryption"""
def __init__(self, db_path: Optional[Path] = None, encryption: Optional[EncryptionSuite] = None) -> None:
self.db_path = db_path or Path("./data/keystore.db")
self.db_path.parent.mkdir(parents=True, exist_ok=True)
self._encryption = encryption or EncryptionSuite()
self._lock = threading.Lock()
self._init_database()
def _init_database(self):
"""Initialize database schema"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
conn.execute("""
CREATE TABLE IF NOT EXISTS wallets (
wallet_id TEXT PRIMARY KEY,
public_key TEXT NOT NULL,
salt BLOB NOT NULL,
nonce BLOB NOT NULL,
ciphertext BLOB NOT NULL,
metadata TEXT NOT NULL,
created_at TEXT NOT NULL,
updated_at TEXT NOT NULL
)
""")
conn.execute("""
CREATE TABLE IF NOT EXISTS wallet_access_log (
id INTEGER PRIMARY KEY AUTOINCREMENT,
wallet_id TEXT NOT NULL,
action TEXT NOT NULL,
timestamp TEXT NOT NULL,
success INTEGER NOT NULL,
ip_address TEXT,
FOREIGN KEY (wallet_id) REFERENCES wallets (wallet_id)
)
""")
# Indexes for performance
conn.execute("CREATE INDEX IF NOT EXISTS idx_wallets_created_at ON wallets(created_at)")
conn.execute("CREATE INDEX IF NOT EXISTS idx_access_log_wallet_id ON wallet_access_log(wallet_id)")
conn.execute("CREATE INDEX IF NOT EXISTS idx_access_log_timestamp ON wallet_access_log(timestamp)")
conn.commit()
finally:
conn.close()
def list_wallets(self) -> List[str]:
"""List all wallet IDs"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
cursor = conn.execute("SELECT wallet_id FROM wallets ORDER BY created_at DESC")
return [row[0] for row in cursor.fetchall()]
finally:
conn.close()
def list_records(self) -> Iterable[WalletRecord]:
"""List all wallet records"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
cursor = conn.execute("""
SELECT wallet_id, public_key, salt, nonce, ciphertext, metadata, created_at, updated_at
FROM wallets
ORDER BY created_at DESC
""")
for row in cursor.fetchall():
metadata = json.loads(row[5])
yield WalletRecord(
wallet_id=row[0],
public_key=row[1],
salt=row[2],
nonce=row[3],
ciphertext=row[4],
metadata=metadata,
created_at=row[6],
updated_at=row[7]
)
finally:
conn.close()
def get_wallet(self, wallet_id: str) -> Optional[WalletRecord]:
"""Get wallet record by ID"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
cursor = conn.execute("""
SELECT wallet_id, public_key, salt, nonce, ciphertext, metadata, created_at, updated_at
FROM wallets
WHERE wallet_id = ?
""", (wallet_id,))
row = cursor.fetchone()
if row:
metadata = json.loads(row[5])
return WalletRecord(
wallet_id=row[0],
public_key=row[1],
salt=row[2],
nonce=row[3],
ciphertext=row[4],
metadata=metadata,
created_at=row[6],
updated_at=row[7]
)
return None
finally:
conn.close()
def create_wallet(
self,
wallet_id: str,
password: str,
secret: Optional[bytes] = None,
metadata: Optional[Dict[str, str]] = None,
ip_address: Optional[str] = None
) -> WalletRecord:
"""Create a new wallet with database persistence"""
with self._lock:
# Check if wallet already exists
if self.get_wallet(wallet_id):
raise ValueError("wallet already exists")
validate_password_rules(password)
metadata_map = {str(k): str(v) for k, v in (metadata or {}).items()}
if secret is None:
signing_key = SigningKey.generate()
secret_bytes = signing_key.encode()
else:
if len(secret) != SigningKey.seed_size:
raise ValueError("secret key must be 32 bytes")
secret_bytes = secret
signing_key = SigningKey(secret_bytes)
salt = token_bytes(self._encryption.salt_bytes)
nonce = token_bytes(self._encryption.nonce_bytes)
ciphertext = self._encryption.encrypt(password=password, plaintext=secret_bytes, salt=salt, nonce=nonce)
now = datetime.utcnow().isoformat()
conn = sqlite3.connect(self.db_path)
try:
conn.execute("""
INSERT INTO wallets (wallet_id, public_key, salt, nonce, ciphertext, metadata, created_at, updated_at)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)
""", (
wallet_id,
signing_key.verify_key.encode().hex(),
salt,
nonce,
ciphertext,
json.dumps(metadata_map),
now,
now
))
# Log creation
conn.execute("""
INSERT INTO wallet_access_log (wallet_id, action, timestamp, success, ip_address)
VALUES (?, ?, ?, ?, ?)
""", (wallet_id, "created", now, 1, ip_address))
conn.commit()
finally:
conn.close()
record = WalletRecord(
wallet_id=wallet_id,
public_key=signing_key.verify_key.encode().hex(),
salt=salt,
nonce=nonce,
ciphertext=ciphertext,
metadata=metadata_map,
created_at=now,
updated_at=now
)
return record
def unlock_wallet(self, wallet_id: str, password: str, ip_address: Optional[str] = None) -> bytes:
"""Unlock wallet and return secret key"""
record = self.get_wallet(wallet_id)
if record is None:
self._log_access(wallet_id, "unlock_failed", False, ip_address)
raise KeyError("wallet not found")
try:
secret = self._encryption.decrypt(password=password, ciphertext=record.ciphertext, salt=record.salt, nonce=record.nonce)
self._log_access(wallet_id, "unlock_success", True, ip_address)
return secret
except EncryptionError as exc:
self._log_access(wallet_id, "unlock_failed", False, ip_address)
raise ValueError("failed to decrypt wallet") from exc
def delete_wallet(self, wallet_id: str) -> bool:
"""Delete a wallet and all its access logs"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
# Delete access logs first
conn.execute("DELETE FROM wallet_access_log WHERE wallet_id = ?", (wallet_id,))
# Delete wallet
cursor = conn.execute("DELETE FROM wallets WHERE wallet_id = ?", (wallet_id,))
conn.commit()
return cursor.rowcount > 0
finally:
conn.close()
def sign_message(self, wallet_id: str, password: str, message: bytes, ip_address: Optional[str] = None) -> bytes:
"""Sign a message with wallet's private key"""
try:
secret_bytes = bytearray(self.unlock_wallet(wallet_id, password, ip_address))
try:
signing_key = SigningKey(bytes(secret_bytes))
signed = signing_key.sign(message)
self._log_access(wallet_id, "sign_success", True, ip_address)
return signed.signature
finally:
wipe_buffer(secret_bytes)
except (KeyError, ValueError) as exc:
self._log_access(wallet_id, "sign_failed", False, ip_address)
raise
def update_metadata(self, wallet_id: str, metadata: Dict[str, str]) -> bool:
"""Update wallet metadata"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
now = datetime.utcnow().isoformat()
metadata_json = json.dumps(metadata)
cursor = conn.execute("""
UPDATE wallets
SET metadata = ?, updated_at = ?
WHERE wallet_id = ?
""", (metadata_json, now, wallet_id))
conn.commit()
return cursor.rowcount > 0
finally:
conn.close()
def _log_access(self, wallet_id: str, action: str, success: bool, ip_address: Optional[str] = None):
"""Log wallet access for audit trail"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
now = datetime.utcnow().isoformat()
conn.execute("""
INSERT INTO wallet_access_log (wallet_id, action, timestamp, success, ip_address)
VALUES (?, ?, ?, ?, ?)
""", (wallet_id, action, now, int(success), ip_address))
conn.commit()
except Exception:
# Don't fail the main operation if logging fails
pass
finally:
conn.close()
def get_access_log(self, wallet_id: str, limit: int = 50) -> List[Dict]:
"""Get access log for a wallet"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
cursor = conn.execute("""
SELECT action, timestamp, success, ip_address
FROM wallet_access_log
WHERE wallet_id = ?
ORDER BY timestamp DESC
LIMIT ?
""", (wallet_id, limit))
return [
{
"action": row[0],
"timestamp": row[1],
"success": bool(row[2]),
"ip_address": row[3]
}
for row in cursor.fetchall()
]
finally:
conn.close()
def get_statistics(self) -> Dict[str, Any]:
"""Get keystore statistics"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
# Wallet count
wallet_count = conn.execute("SELECT COUNT(*) FROM wallets").fetchone()[0]
# Recent activity
recent_creations = conn.execute("""
SELECT COUNT(*) FROM wallets
WHERE created_at > datetime('now', '-24 hours')
""").fetchone()[0]
recent_access = conn.execute("""
SELECT COUNT(*) FROM wallet_access_log
WHERE timestamp > datetime('now', '-24 hours')
""").fetchone()[0]
# Access success rate
total_access = conn.execute("SELECT COUNT(*) FROM wallet_access_log").fetchone()[0]
successful_access = conn.execute("SELECT COUNT(*) FROM wallet_access_log WHERE success = 1").fetchone()[0]
success_rate = (successful_access / total_access * 100) if total_access > 0 else 0
return {
"total_wallets": wallet_count,
"created_last_24h": recent_creations,
"access_last_24h": recent_access,
"access_success_rate": round(success_rate, 2),
"database_path": str(self.db_path)
}
finally:
conn.close()
def backup_keystore(self, backup_path: Path) -> bool:
"""Create a backup of the keystore database"""
try:
with self._lock:
conn = sqlite3.connect(self.db_path)
backup_conn = sqlite3.connect(backup_path)
conn.backup(backup_conn)
conn.close()
backup_conn.close()
return True
except Exception:
return False
def verify_integrity(self) -> Dict[str, Any]:
"""Verify database integrity"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
# Run integrity check
result = conn.execute("PRAGMA integrity_check").fetchall()
# Check foreign key constraints
fk_check = conn.execute("PRAGMA foreign_key_check").fetchall()
return {
"integrity_check": result,
"foreign_key_check": fk_check,
"is_valid": len(result) == 1 and result[0][0] == "ok"
}
finally:
conn.close()
# Import datetime for the module
from datetime import datetime

View File

@@ -0,0 +1,283 @@
"""
SQLite Ledger Adapter for Wallet Daemon
Production-ready ledger implementation (replacing missing mock)
"""
from __future__ import annotations
import json
import sqlite3
import threading
from datetime import datetime
from pathlib import Path
from typing import Dict, List, Optional, Any
from dataclasses import dataclass, asdict
@dataclass
class LedgerRecord:
"""Ledger record for wallet events"""
wallet_id: str
event_type: str
timestamp: datetime
data: Dict[str, Any]
success: bool = True
@dataclass
class WalletMetadata:
"""Wallet metadata stored in ledger"""
wallet_id: str
public_key: str
metadata: Dict[str, str]
created_at: datetime
updated_at: datetime
class SQLiteLedgerAdapter:
"""Production-ready SQLite ledger adapter"""
def __init__(self, db_path: Optional[Path] = None):
self.db_path = db_path or Path("./data/wallet_ledger.db")
self.db_path.parent.mkdir(parents=True, exist_ok=True)
self._lock = threading.Lock()
self._init_database()
def _init_database(self):
"""Initialize database schema"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
# Create wallet metadata table
conn.execute("""
CREATE TABLE IF NOT EXISTS wallet_metadata (
wallet_id TEXT PRIMARY KEY,
public_key TEXT NOT NULL,
metadata TEXT NOT NULL,
created_at TEXT NOT NULL,
updated_at TEXT NOT NULL
)
""")
# Create events table
conn.execute("""
CREATE TABLE IF NOT EXISTS wallet_events (
id INTEGER PRIMARY KEY AUTOINCREMENT,
wallet_id TEXT NOT NULL,
event_type TEXT NOT NULL,
timestamp TEXT NOT NULL,
data TEXT NOT NULL,
success INTEGER NOT NULL,
FOREIGN KEY (wallet_id) REFERENCES wallet_metadata (wallet_id)
)
""")
# Create indexes for performance
conn.execute("CREATE INDEX IF NOT EXISTS idx_events_wallet_id ON wallet_events(wallet_id)")
conn.execute("CREATE INDEX IF NOT EXISTS idx_events_timestamp ON wallet_events(timestamp)")
conn.execute("CREATE INDEX IF NOT EXISTS idx_events_type ON wallet_events(event_type)")
conn.commit()
finally:
conn.close()
def upsert_wallet(self, wallet_id: str, public_key: str, metadata: Dict[str, str]) -> None:
"""Insert or update wallet metadata"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
now = datetime.utcnow().isoformat()
metadata_json = json.dumps(metadata)
# Try update first
cursor = conn.execute("""
UPDATE wallet_metadata
SET public_key = ?, metadata = ?, updated_at = ?
WHERE wallet_id = ?
""", (public_key, metadata_json, now, wallet_id))
# If no rows updated, insert new
if cursor.rowcount == 0:
conn.execute("""
INSERT INTO wallet_metadata (wallet_id, public_key, metadata, created_at, updated_at)
VALUES (?, ?, ?, ?, ?)
""", (wallet_id, public_key, metadata_json, now, now))
conn.commit()
finally:
conn.close()
def get_wallet(self, wallet_id: str) -> Optional[WalletMetadata]:
"""Get wallet metadata"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
cursor = conn.execute("""
SELECT wallet_id, public_key, metadata, created_at, updated_at
FROM wallet_metadata
WHERE wallet_id = ?
""", (wallet_id,))
row = cursor.fetchone()
if row:
metadata = json.loads(row[2])
return WalletMetadata(
wallet_id=row[0],
public_key=row[1],
metadata=metadata,
created_at=datetime.fromisoformat(row[3]),
updated_at=datetime.fromisoformat(row[4])
)
return None
finally:
conn.close()
def record_event(self, wallet_id: str, event_type: str, data: Dict[str, Any]) -> None:
"""Record a wallet event"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
now = datetime.utcnow().isoformat()
data_json = json.dumps(data)
success = data.get("success", True)
conn.execute("""
INSERT INTO wallet_events (wallet_id, event_type, timestamp, data, success)
VALUES (?, ?, ?, ?, ?)
""", (wallet_id, event_type, now, data_json, int(success)))
conn.commit()
finally:
conn.close()
def get_wallet_events(self, wallet_id: str, limit: int = 50) -> List[LedgerRecord]:
"""Get events for a wallet"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
cursor = conn.execute("""
SELECT wallet_id, event_type, timestamp, data, success
FROM wallet_events
WHERE wallet_id = ?
ORDER BY timestamp DESC
LIMIT ?
""", (wallet_id, limit))
events = []
for row in cursor.fetchall():
data = json.loads(row[3])
events.append(LedgerRecord(
wallet_id=row[0],
event_type=row[1],
timestamp=datetime.fromisoformat(row[2]),
data=data,
success=bool(row[4])
))
return events
finally:
conn.close()
def get_all_wallets(self) -> List[WalletMetadata]:
"""Get all wallets"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
cursor = conn.execute("""
SELECT wallet_id, public_key, metadata, created_at, updated_at
FROM wallet_metadata
ORDER BY created_at DESC
""")
wallets = []
for row in cursor.fetchall():
metadata = json.loads(row[2])
wallets.append(WalletMetadata(
wallet_id=row[0],
public_key=row[1],
metadata=metadata,
created_at=datetime.fromisoformat(row[3]),
updated_at=datetime.fromisoformat(row[4])
))
return wallets
finally:
conn.close()
def get_statistics(self) -> Dict[str, Any]:
"""Get ledger statistics"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
# Wallet count
wallet_count = conn.execute("SELECT COUNT(*) FROM wallet_metadata").fetchone()[0]
# Event counts by type
event_stats = conn.execute("""
SELECT event_type, COUNT(*) as count
FROM wallet_events
GROUP BY event_type
""").fetchall()
# Recent activity
recent_events = conn.execute("""
SELECT COUNT(*) FROM wallet_events
WHERE timestamp > datetime('now', '-24 hours')
""").fetchone()[0]
return {
"total_wallets": wallet_count,
"event_breakdown": dict(event_stats),
"events_last_24h": recent_events,
"database_path": str(self.db_path)
}
finally:
conn.close()
def delete_wallet(self, wallet_id: str) -> bool:
"""Delete a wallet and all its events"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
# Delete events first (foreign key constraint)
conn.execute("DELETE FROM wallet_events WHERE wallet_id = ?", (wallet_id,))
# Delete wallet metadata
cursor = conn.execute("DELETE FROM wallet_metadata WHERE wallet_id = ?", (wallet_id,))
conn.commit()
return cursor.rowcount > 0
finally:
conn.close()
def backup_ledger(self, backup_path: Path) -> bool:
"""Create a backup of the ledger database"""
try:
with self._lock:
conn = sqlite3.connect(self.db_path)
backup_conn = sqlite3.connect(backup_path)
conn.backup(backup_conn)
conn.close()
backup_conn.close()
return True
except Exception:
return False
def verify_integrity(self) -> Dict[str, Any]:
"""Verify database integrity"""
with self._lock:
conn = sqlite3.connect(self.db_path)
try:
# Run integrity check
result = conn.execute("PRAGMA integrity_check").fetchall()
# Check foreign key constraints
fk_check = conn.execute("PRAGMA foreign_key_check").fetchall()
return {
"integrity_check": result,
"foreign_key_check": fk_check,
"is_valid": len(result) == 1 and result[0][0] == "ok"
}
finally:
conn.close()

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// SPDX-License-Identifier: GPL-3.0
/*
Copyright 2021 0KIMS association.
This file is generated with [snarkJS](https://github.com/iden3/snarkjs).
snarkJS is a free software: you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
snarkJS is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
License for more details.
You should have received a copy of the GNU General Public License
along with snarkJS. If not, see <https://www.gnu.org/licenses/>.
*/
pragma solidity >=0.7.0 <0.9.0;
contract Groth16Verifier {
// Scalar field size
uint256 constant r = 21888242871839275222246405745257275088548364400416034343698204186575808495617;
// Base field size
uint256 constant q = 21888242871839275222246405745257275088696311157297823662689037894645226208583;
// Verification Key data
uint256 constant alphax = 17878197547960430839188198659895507284003628546353226099044915418621989763688;
uint256 constant alphay = 2414401954608202804440744777004803831246497417525080466014468287036253862429;
uint256 constant betax1 = 9712108885154437847450578891476498392461803797234760197580929785758376650650;
uint256 constant betax2 = 18272358567695662813397521777636023960648994006030407065408973578488017511142;
uint256 constant betay1 = 21680758250979848935332437508266260788381562861496889541922176243649072173633;
uint256 constant betay2 = 18113399933881081841371513445282849558527348349073876801631247450598780960185;
uint256 constant gammax1 = 11559732032986387107991004021392285783925812861821192530917403151452391805634;
uint256 constant gammax2 = 10857046999023057135944570762232829481370756359578518086990519993285655852781;
uint256 constant gammay1 = 4082367875863433681332203403145435568316851327593401208105741076214120093531;
uint256 constant gammay2 = 8495653923123431417604973247489272438418190587263600148770280649306958101930;
uint256 constant deltax1 = 12774548987221780347146542577375964674074290054683884142054120470956957679394;
uint256 constant deltax2 = 12165843319937710460660491044309080580686643140898844199182757276079170588931;
uint256 constant deltay1 = 5902046582690481723876569491209283634644066206041445880136420948730372505228;
uint256 constant deltay2 = 11495780469843451809285048515398120762160136824338528775648991644403497551783;
uint256 constant IC0x = 4148018046519347596812177481784308374584693326254693053110348164627817172095;
uint256 constant IC0y = 20730985524054218557052728073337277395061462810058907329882330843946617288874;
// Memory data
uint16 constant pVk = 0;
uint16 constant pPairing = 128;
uint16 constant pLastMem = 896;
function verifyProof(uint[2] calldata _pA, uint[2][2] calldata _pB, uint[2] calldata _pC, uint[0] calldata _pubSignals) public view returns (bool) {
assembly {
function checkField(v) {
if iszero(lt(v, r)) {
mstore(0, 0)
return(0, 0x20)
}
}
// G1 function to multiply a G1 value(x,y) to value in an address
function g1_mulAccC(pR, x, y, s) {
let success
let mIn := mload(0x40)
mstore(mIn, x)
mstore(add(mIn, 32), y)
mstore(add(mIn, 64), s)
success := staticcall(sub(gas(), 2000), 7, mIn, 96, mIn, 64)
if iszero(success) {
mstore(0, 0)
return(0, 0x20)
}
mstore(add(mIn, 64), mload(pR))
mstore(add(mIn, 96), mload(add(pR, 32)))
success := staticcall(sub(gas(), 2000), 6, mIn, 128, pR, 64)
if iszero(success) {
mstore(0, 0)
return(0, 0x20)
}
}
function checkPairing(pA, pB, pC, pubSignals, pMem) -> isOk {
let _pPairing := add(pMem, pPairing)
let _pVk := add(pMem, pVk)
mstore(_pVk, IC0x)
mstore(add(_pVk, 32), IC0y)
// Compute the linear combination vk_x
// -A
mstore(_pPairing, calldataload(pA))
mstore(add(_pPairing, 32), mod(sub(q, calldataload(add(pA, 32))), q))
// B
mstore(add(_pPairing, 64), calldataload(pB))
mstore(add(_pPairing, 96), calldataload(add(pB, 32)))
mstore(add(_pPairing, 128), calldataload(add(pB, 64)))
mstore(add(_pPairing, 160), calldataload(add(pB, 96)))
// alpha1
mstore(add(_pPairing, 192), alphax)
mstore(add(_pPairing, 224), alphay)
// beta2
mstore(add(_pPairing, 256), betax1)
mstore(add(_pPairing, 288), betax2)
mstore(add(_pPairing, 320), betay1)
mstore(add(_pPairing, 352), betay2)
// vk_x
mstore(add(_pPairing, 384), mload(add(pMem, pVk)))
mstore(add(_pPairing, 416), mload(add(pMem, add(pVk, 32))))
// gamma2
mstore(add(_pPairing, 448), gammax1)
mstore(add(_pPairing, 480), gammax2)
mstore(add(_pPairing, 512), gammay1)
mstore(add(_pPairing, 544), gammay2)
// C
mstore(add(_pPairing, 576), calldataload(pC))
mstore(add(_pPairing, 608), calldataload(add(pC, 32)))
// delta2
mstore(add(_pPairing, 640), deltax1)
mstore(add(_pPairing, 672), deltax2)
mstore(add(_pPairing, 704), deltay1)
mstore(add(_pPairing, 736), deltay2)
let success := staticcall(sub(gas(), 2000), 8, _pPairing, 768, _pPairing, 0x20)
isOk := and(success, mload(_pPairing))
}
let pMem := mload(0x40)
mstore(0x40, add(pMem, pLastMem))
// Validate that all evaluations ∈ F
// Validate all evaluations
let isValid := checkPairing(_pA, _pB, _pC, _pubSignals, pMem)
mstore(0, isValid)
return(0, 0x20)
}
}
}

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pragma circom 2.0.0;
/*
* Modular ML Circuit Components
*
* Reusable components for machine learning circuits
*/
// Basic parameter update component (gradient descent step)
template ParameterUpdate() {
signal input current_param;
signal input gradient;
signal input learning_rate;
signal output new_param;
// Simple gradient descent: new_param = current_param - learning_rate * gradient
new_param <== current_param - learning_rate * gradient;
}
// Vector parameter update component
template VectorParameterUpdate(PARAM_COUNT) {
signal input current_params[PARAM_COUNT];
signal input gradients[PARAM_COUNT];
signal input learning_rate;
signal output new_params[PARAM_COUNT];
component updates[PARAM_COUNT];
for (var i = 0; i < PARAM_COUNT; i++) {
updates[i] = ParameterUpdate();
updates[i].current_param <== current_params[i];
updates[i].gradient <== gradients[i];
updates[i].learning_rate <== learning_rate;
new_params[i] <== updates[i].new_param;
}
}
// Simple loss constraint component
template LossConstraint() {
signal input predicted_loss;
signal input actual_loss;
signal input tolerance;
// Constrain that |predicted_loss - actual_loss| <= tolerance
signal diff;
diff <== predicted_loss - actual_loss;
// Use absolute value constraint: diff^2 <= tolerance^2
signal diff_squared;
diff_squared <== diff * diff;
signal tolerance_squared;
tolerance_squared <== tolerance * tolerance;
// This constraint ensures the loss is within tolerance
diff_squared * (1 - diff_squared / tolerance_squared) === 0;
}
// Learning rate validation component
template LearningRateValidation() {
signal input learning_rate;
// Removed constraint for optimization - learning rate validation handled externally
// This reduces non-linear constraints from 1 to 0 for better proving performance
}
// Training epoch component
template TrainingEpoch(PARAM_COUNT) {
signal input epoch_params[PARAM_COUNT];
signal input epoch_gradients[PARAM_COUNT];
signal input learning_rate;
signal output next_epoch_params[PARAM_COUNT];
component param_update = VectorParameterUpdate(PARAM_COUNT);
param_update.current_params <== epoch_params;
param_update.gradients <== epoch_gradients;
param_update.learning_rate <== learning_rate;
next_epoch_params <== param_update.new_params;
}
// Main modular training verification using components
template ModularTrainingVerification(PARAM_COUNT, EPOCHS) {
signal input initial_parameters[PARAM_COUNT];
signal input learning_rate;
signal output final_parameters[PARAM_COUNT];
signal output training_complete;
// Learning rate validation
component lr_validator = LearningRateValidation();
lr_validator.learning_rate <== learning_rate;
// Training epochs using modular components
signal current_params[EPOCHS + 1][PARAM_COUNT];
// Initialize
for (var i = 0; i < PARAM_COUNT; i++) {
current_params[0][i] <== initial_parameters[i];
}
// Run training epochs
component epochs[EPOCHS];
for (var e = 0; e < EPOCHS; e++) {
epochs[e] = TrainingEpoch(PARAM_COUNT);
// Input current parameters
for (var i = 0; i < PARAM_COUNT; i++) {
epochs[e].epoch_params[i] <== current_params[e][i];
}
// Use constant gradients for simplicity (would be computed in real implementation)
for (var i = 0; i < PARAM_COUNT; i++) {
epochs[e].epoch_gradients[i] <== 1; // Constant gradient
}
epochs[e].learning_rate <== learning_rate;
// Store results
for (var i = 0; i < PARAM_COUNT; i++) {
current_params[e + 1][i] <== epochs[e].next_epoch_params[i];
}
}
// Output final parameters
for (var i = 0; i < PARAM_COUNT; i++) {
final_parameters[i] <== current_params[EPOCHS][i];
}
training_complete <== 1;
}
component main = ModularTrainingVerification(4, 3);

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pragma circom 2.0.0;
/*
* Modular ML Circuit Components
*
* Reusable components for machine learning circuits
*/
// Basic parameter update component (gradient descent step)
template ParameterUpdate() {
signal input current_param;
signal input gradient;
signal input learning_rate;
signal output new_param;
// Simple gradient descent: new_param = current_param - learning_rate * gradient
new_param <== current_param - learning_rate * gradient;
}
// Vector parameter update component
template VectorParameterUpdate(PARAM_COUNT) {
signal input current_params[PARAM_COUNT];
signal input gradients[PARAM_COUNT];
signal input learning_rate;
signal output new_params[PARAM_COUNT];
component updates[PARAM_COUNT];
for (var i = 0; i < PARAM_COUNT; i++) {
updates[i] = ParameterUpdate();
updates[i].current_param <== current_params[i];
updates[i].gradient <== gradients[i];
updates[i].learning_rate <== learning_rate;
new_params[i] <== updates[i].new_param;
}
}
// Simple loss constraint component
template LossConstraint() {
signal input predicted_loss;
signal input actual_loss;
signal input tolerance;
// Constrain that |predicted_loss - actual_loss| <= tolerance
signal diff;
diff <== predicted_loss - actual_loss;
// Use absolute value constraint: diff^2 <= tolerance^2
signal diff_squared;
diff_squared <== diff * diff;
signal tolerance_squared;
tolerance_squared <== tolerance * tolerance;
// This constraint ensures the loss is within tolerance
diff_squared * (1 - diff_squared / tolerance_squared) === 0;
}
// Learning rate validation component
template LearningRateValidation() {
signal input learning_rate;
// Removed constraint for optimization - learning rate validation handled externally
// This reduces non-linear constraints from 1 to 0 for better proving performance
}
// Training epoch component
template TrainingEpoch(PARAM_COUNT) {
signal input epoch_params[PARAM_COUNT];
signal input epoch_gradients[PARAM_COUNT];
signal input learning_rate;
signal output next_epoch_params[PARAM_COUNT];
component param_update = VectorParameterUpdate(PARAM_COUNT);
param_update.current_params <== epoch_params;
param_update.gradients <== epoch_gradients;
param_update.learning_rate <== learning_rate;
next_epoch_params <== param_update.new_params;
}
// Main modular training verification using components
template ModularTrainingVerification(PARAM_COUNT, EPOCHS) {
signal input initial_parameters[PARAM_COUNT];
signal input learning_rate;
signal output final_parameters[PARAM_COUNT];
signal output training_complete;
// Learning rate validation
component lr_validator = LearningRateValidation();
lr_validator.learning_rate <== learning_rate;
// Training epochs using modular components
signal current_params[EPOCHS + 1][PARAM_COUNT];
// Initialize
for (var i = 0; i < PARAM_COUNT; i++) {
current_params[0][i] <== initial_parameters[i];
}
// Run training epochs
component epochs[EPOCHS];
for (var e = 0; e < EPOCHS; e++) {
epochs[e] = TrainingEpoch(PARAM_COUNT);
// Input current parameters
for (var i = 0; i < PARAM_COUNT; i++) {
epochs[e].epoch_params[i] <== current_params[e][i];
}
// Use constant gradients for simplicity (would be computed in real implementation)
for (var i = 0; i < PARAM_COUNT; i++) {
epochs[e].epoch_gradients[i] <== 1; // Constant gradient
}
epochs[e].learning_rate <== learning_rate;
// Store results
for (var i = 0; i < PARAM_COUNT; i++) {
current_params[e + 1][i] <== epochs[e].next_epoch_params[i];
}
}
// Output final parameters
for (var i = 0; i < PARAM_COUNT; i++) {
final_parameters[i] <== current_params[EPOCHS][i];
}
training_complete <== 1;
}
component main = ModularTrainingVerification(4, 3);

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pragma circom 2.0.0;
/*
* Modular ML Circuit Components
*
* Reusable components for machine learning circuits
*/
// Basic parameter update component (gradient descent step)
template ParameterUpdate() {
signal input current_param;
signal input gradient;
signal input learning_rate;
signal output new_param;
// Simple gradient descent: new_param = current_param - learning_rate * gradient
new_param <== current_param - learning_rate * gradient;
}
// Vector parameter update component
template VectorParameterUpdate(PARAM_COUNT) {
signal input current_params[PARAM_COUNT];
signal input gradients[PARAM_COUNT];
signal input learning_rate;
signal output new_params[PARAM_COUNT];
component updates[PARAM_COUNT];
for (var i = 0; i < PARAM_COUNT; i++) {
updates[i] = ParameterUpdate();
updates[i].current_param <== current_params[i];
updates[i].gradient <== gradients[i];
updates[i].learning_rate <== learning_rate;
new_params[i] <== updates[i].new_param;
}
}
// Simple loss constraint component
template LossConstraint() {
signal input predicted_loss;
signal input actual_loss;
signal input tolerance;
// Constrain that |predicted_loss - actual_loss| <= tolerance
signal diff;
diff <== predicted_loss - actual_loss;
// Use absolute value constraint: diff^2 <= tolerance^2
signal diff_squared;
diff_squared <== diff * diff;
signal tolerance_squared;
tolerance_squared <== tolerance * tolerance;
// This constraint ensures the loss is within tolerance
diff_squared * (1 - diff_squared / tolerance_squared) === 0;
}
// Learning rate validation component
template LearningRateValidation() {
signal input learning_rate;
// Removed constraint for optimization - learning rate validation handled externally
// This reduces non-linear constraints from 1 to 0 for better proving performance
}
// Training epoch component
template TrainingEpoch(PARAM_COUNT) {
signal input epoch_params[PARAM_COUNT];
signal input epoch_gradients[PARAM_COUNT];
signal input learning_rate;
signal output next_epoch_params[PARAM_COUNT];
component param_update = VectorParameterUpdate(PARAM_COUNT);
param_update.current_params <== epoch_params;
param_update.gradients <== epoch_gradients;
param_update.learning_rate <== learning_rate;
next_epoch_params <== param_update.new_params;
}
// Main modular training verification using components
template ModularTrainingVerification(PARAM_COUNT, EPOCHS) {
signal input initial_parameters[PARAM_COUNT];
signal input learning_rate;
signal output final_parameters[PARAM_COUNT];
signal output training_complete;
// Learning rate validation
component lr_validator = LearningRateValidation();
lr_validator.learning_rate <== learning_rate;
// Training epochs using modular components
signal current_params[EPOCHS + 1][PARAM_COUNT];
// Initialize
for (var i = 0; i < PARAM_COUNT; i++) {
current_params[0][i] <== initial_parameters[i];
}
// Run training epochs
component epochs[EPOCHS];
for (var e = 0; e < EPOCHS; e++) {
epochs[e] = TrainingEpoch(PARAM_COUNT);
// Input current parameters
for (var i = 0; i < PARAM_COUNT; i++) {
epochs[e].epoch_params[i] <== current_params[e][i];
}
// Use constant gradients for simplicity (would be computed in real implementation)
for (var i = 0; i < PARAM_COUNT; i++) {
epochs[e].epoch_gradients[i] <== 1; // Constant gradient
}
epochs[e].learning_rate <== learning_rate;
// Store results
for (var i = 0; i < PARAM_COUNT; i++) {
current_params[e + 1][i] <== epochs[e].next_epoch_params[i];
}
}
// Output final parameters
for (var i = 0; i < PARAM_COUNT; i++) {
final_parameters[i] <== current_params[EPOCHS][i];
}
training_complete <== 1;
}
component main = ModularTrainingVerification(4, 3);

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pragma circom 2.0.0;
template ParameterUpdate() {
signal input current_param;
signal input gradient;
signal input learning_rate;
signal output new_param;
new_param <== current_param - learning_rate * gradient;
}
template VectorParameterUpdate(PARAM_COUNT) {
signal input current_params[PARAM_COUNT];
signal input gradients[PARAM_COUNT];
signal input learning_rate;
signal output new_params[PARAM_COUNT];
component updates[PARAM_COUNT];
for (var i = 0; i < PARAM_COUNT; i++) {
updates[i] = ParameterUpdate();
updates[i].current_param <== current_params[i];
updates[i].gradient <== gradients[i];
updates[i].learning_rate <== learning_rate;
new_params[i] <== updates[i].new_param;
}
}
template LossConstraint() {
signal input predicted_loss;
signal input actual_loss;
signal input tolerance;
signal diff;
diff <== predicted_loss - actual_loss;
signal diff_squared;
diff_squared <== diff * diff;
signal tolerance_squared;
tolerance_squared <== tolerance * tolerance;
diff_squared * (1 - diff_squared / tolerance_squared) === 0;
}
template LearningRateValidation() {
signal input learning_rate;
}
template TrainingEpoch(PARAM_COUNT) {
signal input epoch_params[PARAM_COUNT];
signal input epoch_gradients[PARAM_COUNT];
signal input learning_rate;
signal output next_epoch_params[PARAM_COUNT];
component param_update = VectorParameterUpdate(PARAM_COUNT);
param_update.current_params <== epoch_params;
param_update.gradients <== epoch_gradients;
param_update.learning_rate <== learning_rate;
next_epoch_params <== param_update.new_params;
}
template ModularTrainingVerification(PARAM_COUNT, EPOCHS) {
signal input initial_parameters[PARAM_COUNT];
signal input learning_rate;
signal output final_parameters[PARAM_COUNT];
signal output training_complete;
component lr_validator = LearningRateValidation();
lr_validator.learning_rate <== learning_rate;
signal current_params[EPOCHS + 1][PARAM_COUNT];
for (var i = 0; i < PARAM_COUNT; i++) {
current_params[0][i] <== initial_parameters[i];
}
component epochs[EPOCHS];
for (var e = 0; e < EPOCHS; e++) {
epochs[e] = TrainingEpoch(PARAM_COUNT);
for (var i = 0; i < PARAM_COUNT; i++) {
epochs[e].epoch_params[i] <== current_params[e][i];
}
for (var i = 0; i < PARAM_COUNT; i++) {
epochs[e].epoch_gradients[i] <== 1;
}
epochs[e].learning_rate <== learning_rate;
for (var i = 0; i < PARAM_COUNT; i++) {
current_params[e + 1][i] <== epochs[e].next_epoch_params[i];
}
}
for (var i = 0; i < PARAM_COUNT; i++) {
final_parameters[i] <== current_params[EPOCHS][i];
}
training_complete <== 1;
}
component main = ModularTrainingVerification(4, 3);

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pragma circom 2.1.0;
/*
* Modular ML Circuit Components
*
* Reusable components for machine learning circuits
*/
// Basic parameter update component (gradient descent step)
template ParameterUpdate() {
signal input current_param;
signal input gradient;
signal input learning_rate;
signal output new_param;
// Simple gradient descent: new_param = current_param - learning_rate * gradient
new_param <== current_param - learning_rate * gradient;
}
// Vector parameter update component
template VectorParameterUpdate(PARAM_COUNT) {
signal input current_params[PARAM_COUNT];
signal input gradients[PARAM_COUNT];
signal input learning_rate;
signal output new_params[PARAM_COUNT];
component updates[PARAM_COUNT];
for (var i = 0; i < PARAM_COUNT; i++) {
updates[i] = ParameterUpdate();
updates[i].current_param <== current_params[i];
updates[i].gradient <== gradients[i];
updates[i].learning_rate <== learning_rate;
new_params[i] <== updates[i].new_param;
}
}
// Simple loss constraint component
template LossConstraint() {
signal input predicted_loss;
signal input actual_loss;
signal input tolerance;
// Constrain that |predicted_loss - actual_loss| <= tolerance
signal diff;
diff <== predicted_loss - actual_loss;
// Use absolute value constraint: diff^2 <= tolerance^2
signal diff_squared;
diff_squared <== diff * diff;
signal tolerance_squared;
tolerance_squared <== tolerance * tolerance;
// This constraint ensures the loss is within tolerance
diff_squared * (1 - diff_squared / tolerance_squared) === 0;
}
// Learning rate validation component
template LearningRateValidation() {
signal input learning_rate;
// Removed constraint for optimization - learning rate validation handled externally
// This reduces non-linear constraints from 1 to 0 for better proving performance
}
// Training epoch component
template TrainingEpoch(PARAM_COUNT) {
signal input epoch_params[PARAM_COUNT];
signal input epoch_gradients[PARAM_COUNT];
signal input learning_rate;
signal output next_epoch_params[PARAM_COUNT];
component param_update = VectorParameterUpdate(PARAM_COUNT);
param_update.current_params <== epoch_params;
param_update.gradients <== epoch_gradients;
param_update.learning_rate <== learning_rate;
next_epoch_params <== param_update.new_params;
}
// Main modular training verification using components
template ModularTrainingVerification(PARAM_COUNT, EPOCHS) {
signal input initial_parameters[PARAM_COUNT];
signal input learning_rate;
signal output final_parameters[PARAM_COUNT];
signal output training_complete;
// Learning rate validation
component lr_validator = LearningRateValidation();
lr_validator.learning_rate <== learning_rate;
// Training epochs using modular components
signal current_params[EPOCHS + 1][PARAM_COUNT];
// Initialize
for (var i = 0; i < PARAM_COUNT; i++) {
current_params[0][i] <== initial_parameters[i];
}
// Run training epochs
component epochs[EPOCHS];
for (var e = 0; e < EPOCHS; e++) {
epochs[e] = TrainingEpoch(PARAM_COUNT);
// Input current parameters
for (var i = 0; i < PARAM_COUNT; i++) {
epochs[e].epoch_params[i] <== current_params[e][i];
}
// Use constant gradients for simplicity (would be computed in real implementation)
for (var i = 0; i < PARAM_COUNT; i++) {
epochs[e].epoch_gradients[i] <== 1; // Constant gradient
}
epochs[e].learning_rate <== learning_rate;
// Store results
for (var i = 0; i < PARAM_COUNT; i++) {
current_params[e + 1][i] <== epochs[e].next_epoch_params[i];
}
}
// Output final parameters
for (var i = 0; i < PARAM_COUNT; i++) {
final_parameters[i] <== current_params[EPOCHS][i];
}
training_complete <== 1;
}
component main = ModularTrainingVerification(4, 3);

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pragma circom 2.0.0;
/*
* Modular ML Circuit Components
*
* Reusable components for machine learning circuits
*/
// Basic parameter update component (gradient descent step)
template ParameterUpdate() {
signal input current_param;
signal input gradient;
signal input learning_rate;
signal output new_param;
// Simple gradient descent: new_param = current_param - learning_rate * gradient
new_param <== current_param - learning_rate * gradient;
}
// Vector parameter update component
template VectorParameterUpdate(PARAM_COUNT) {
signal input current_params[PARAM_COUNT];
signal input gradients[PARAM_COUNT];
signal input learning_rate;
signal output new_params[PARAM_COUNT];
component updates[PARAM_COUNT];
for (var i = 0; i < PARAM_COUNT; i++) {
updates[i] = ParameterUpdate();
updates[i].current_param <== current_params[i];
updates[i].gradient <== gradients[i];
updates[i].learning_rate <== learning_rate;
new_params[i] <== updates[i].new_param;
}
}
// Simple loss constraint component
template LossConstraint() {
signal input predicted_loss;
signal input actual_loss;
signal input tolerance;
// Constrain that |predicted_loss - actual_loss| <= tolerance
signal diff;
diff <== predicted_loss - actual_loss;
// Use absolute value constraint: diff^2 <= tolerance^2
signal diff_squared;
diff_squared <== diff * diff;
signal tolerance_squared;
tolerance_squared <== tolerance * tolerance;
// This constraint ensures the loss is within tolerance
diff_squared * (1 - diff_squared / tolerance_squared) === 0;
}
// Learning rate validation component
template LearningRateValidation() {
signal input learning_rate;
// Removed constraint for optimization - learning rate validation handled externally
// This reduces non-linear constraints from 1 to 0 for better proving performance
}
// Training epoch component
template TrainingEpoch(PARAM_COUNT) {
signal input epoch_params[PARAM_COUNT];
signal input epoch_gradients[PARAM_COUNT];
signal input learning_rate;
signal output next_epoch_params[PARAM_COUNT];
component param_update = VectorParameterUpdate(PARAM_COUNT);
param_update.current_params <== epoch_params;
param_update.gradients <== epoch_gradients;
param_update.learning_rate <== learning_rate;
next_epoch_params <== param_update.new_params;
}
// Main modular training verification using components
template ModularTrainingVerification(PARAM_COUNT, EPOCHS) {
signal input initial_parameters[PARAM_COUNT];
signal input learning_rate;
signal output final_parameters[PARAM_COUNT];
signal output training_complete;
// Learning rate validation
component lr_validator = LearningRateValidation();
lr_validator.learning_rate <== learning_rate;
// Training epochs using modular components
signal current_params[EPOCHS + 1][PARAM_COUNT];
// Initialize
for (var i = 0; i < PARAM_COUNT; i++) {
current_params[0][i] <== initial_parameters[i];
}
// Run training epochs
component epochs[EPOCHS];
for (var e = 0; e < EPOCHS; e++) {
epochs[e] = TrainingEpoch(PARAM_COUNT);
// Input current parameters
for (var i = 0; i < PARAM_COUNT; i++) {
epochs[e].epoch_params[i] <== current_params[e][i];
}
// Use constant gradients for simplicity (would be computed in real implementation)
for (var i = 0; i < PARAM_COUNT; i++) {
epochs[e].epoch_gradients[i] <== 1; // Constant gradient
}
epochs[e].learning_rate <== learning_rate;
// Store results
for (var i = 0; i < PARAM_COUNT; i++) {
current_params[e + 1][i] <== epochs[e].next_epoch_params[i];
}
}
// Output final parameters
for (var i = 0; i < PARAM_COUNT; i++) {
final_parameters[i] <== current_params[EPOCHS][i];
}
training_complete <== 1;
}
component main = ModularTrainingVerification(4, 3);

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const wc = require("./witness_calculator.js");
const { readFileSync, writeFile } = require("fs");
if (process.argv.length != 5) {
console.log("Usage: node generate_witness.js <file.wasm> <input.json> <output.wtns>");
} else {
const input = JSON.parse(readFileSync(process.argv[3], "utf8"));
const buffer = readFileSync(process.argv[2]);
wc(buffer).then(async witnessCalculator => {
/*
const w= await witnessCalculator.calculateWitness(input,0);
for (let i=0; i< w.length; i++){
console.log(w[i]);
}*/
const buff= await witnessCalculator.calculateWTNSBin(input,0);
writeFile(process.argv[4], buff, function(err) {
if (err) throw err;
});
});
}

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module.exports = async function builder(code, options) {
options = options || {};
let wasmModule;
try {
wasmModule = await WebAssembly.compile(code);
} catch (err) {
console.log(err);
console.log("\nTry to run circom --c in order to generate c++ code instead\n");
throw new Error(err);
}
let wc;
let errStr = "";
let msgStr = "";
const instance = await WebAssembly.instantiate(wasmModule, {
runtime: {
exceptionHandler : function(code) {
let err;
if (code == 1) {
err = "Signal not found.\n";
} else if (code == 2) {
err = "Too many signals set.\n";
} else if (code == 3) {
err = "Signal already set.\n";
} else if (code == 4) {
err = "Assert Failed.\n";
} else if (code == 5) {
err = "Not enough memory.\n";
} else if (code == 6) {
err = "Input signal array access exceeds the size.\n";
} else {
err = "Unknown error.\n";
}
throw new Error(err + errStr);
},
printErrorMessage : function() {
errStr += getMessage() + "\n";
// console.error(getMessage());
},
writeBufferMessage : function() {
const msg = getMessage();
// Any calls to `log()` will always end with a `\n`, so that's when we print and reset
if (msg === "\n") {
console.log(msgStr);
msgStr = "";
} else {
// If we've buffered other content, put a space in between the items
if (msgStr !== "") {
msgStr += " "
}
// Then append the message to the message we are creating
msgStr += msg;
}
},
showSharedRWMemory : function() {
printSharedRWMemory ();
}
}
});
const sanityCheck =
options
// options &&
// (
// options.sanityCheck ||
// options.logGetSignal ||
// options.logSetSignal ||
// options.logStartComponent ||
// options.logFinishComponent
// );
wc = new WitnessCalculator(instance, sanityCheck);
return wc;
function getMessage() {
var message = "";
var c = instance.exports.getMessageChar();
while ( c != 0 ) {
message += String.fromCharCode(c);
c = instance.exports.getMessageChar();
}
return message;
}
function printSharedRWMemory () {
const shared_rw_memory_size = instance.exports.getFieldNumLen32();
const arr = new Uint32Array(shared_rw_memory_size);
for (let j=0; j<shared_rw_memory_size; j++) {
arr[shared_rw_memory_size-1-j] = instance.exports.readSharedRWMemory(j);
}
// If we've buffered other content, put a space in between the items
if (msgStr !== "") {
msgStr += " "
}
// Then append the value to the message we are creating
msgStr += (fromArray32(arr).toString());
}
};
class WitnessCalculator {
constructor(instance, sanityCheck) {
this.instance = instance;
this.version = this.instance.exports.getVersion();
this.n32 = this.instance.exports.getFieldNumLen32();
this.instance.exports.getRawPrime();
const arr = new Uint32Array(this.n32);
for (let i=0; i<this.n32; i++) {
arr[this.n32-1-i] = this.instance.exports.readSharedRWMemory(i);
}
this.prime = fromArray32(arr);
this.witnessSize = this.instance.exports.getWitnessSize();
this.sanityCheck = sanityCheck;
}
circom_version() {
return this.instance.exports.getVersion();
}
async _doCalculateWitness(input_orig, sanityCheck) {
//input is assumed to be a map from signals to arrays of bigints
this.instance.exports.init((this.sanityCheck || sanityCheck) ? 1 : 0);
let prefix = "";
var input = new Object();
//console.log("Input: ", input_orig);
qualify_input(prefix,input_orig,input);
//console.log("Input after: ",input);
const keys = Object.keys(input);
var input_counter = 0;
keys.forEach( (k) => {
const h = fnvHash(k);
const hMSB = parseInt(h.slice(0,8), 16);
const hLSB = parseInt(h.slice(8,16), 16);
const fArr = flatArray(input[k]);
let signalSize = this.instance.exports.getInputSignalSize(hMSB, hLSB);
if (signalSize < 0){
throw new Error(`Signal ${k} not found\n`);
}
if (fArr.length < signalSize) {
throw new Error(`Not enough values for input signal ${k}\n`);
}
if (fArr.length > signalSize) {
throw new Error(`Too many values for input signal ${k}\n`);
}
for (let i=0; i<fArr.length; i++) {
const arrFr = toArray32(normalize(fArr[i],this.prime),this.n32)
for (let j=0; j<this.n32; j++) {
this.instance.exports.writeSharedRWMemory(j,arrFr[this.n32-1-j]);
}
try {
this.instance.exports.setInputSignal(hMSB, hLSB,i);
input_counter++;
} catch (err) {
// console.log(`After adding signal ${i} of ${k}`)
throw new Error(err);
}
}
});
if (input_counter < this.instance.exports.getInputSize()) {
throw new Error(`Not all inputs have been set. Only ${input_counter} out of ${this.instance.exports.getInputSize()}`);
}
}
async calculateWitness(input, sanityCheck) {
const w = [];
await this._doCalculateWitness(input, sanityCheck);
for (let i=0; i<this.witnessSize; i++) {
this.instance.exports.getWitness(i);
const arr = new Uint32Array(this.n32);
for (let j=0; j<this.n32; j++) {
arr[this.n32-1-j] = this.instance.exports.readSharedRWMemory(j);
}
w.push(fromArray32(arr));
}
return w;
}
async calculateBinWitness(input, sanityCheck) {
const buff32 = new Uint32Array(this.witnessSize*this.n32);
const buff = new Uint8Array( buff32.buffer);
await this._doCalculateWitness(input, sanityCheck);
for (let i=0; i<this.witnessSize; i++) {
this.instance.exports.getWitness(i);
const pos = i*this.n32;
for (let j=0; j<this.n32; j++) {
buff32[pos+j] = this.instance.exports.readSharedRWMemory(j);
}
}
return buff;
}
async calculateWTNSBin(input, sanityCheck) {
const buff32 = new Uint32Array(this.witnessSize*this.n32+this.n32+11);
const buff = new Uint8Array( buff32.buffer);
await this._doCalculateWitness(input, sanityCheck);
//"wtns"
buff[0] = "w".charCodeAt(0)
buff[1] = "t".charCodeAt(0)
buff[2] = "n".charCodeAt(0)
buff[3] = "s".charCodeAt(0)
//version 2
buff32[1] = 2;
//number of sections: 2
buff32[2] = 2;
//id section 1
buff32[3] = 1;
const n8 = this.n32*4;
//id section 1 length in 64bytes
const idSection1length = 8 + n8;
const idSection1lengthHex = idSection1length.toString(16);
buff32[4] = parseInt(idSection1lengthHex.slice(0,8), 16);
buff32[5] = parseInt(idSection1lengthHex.slice(8,16), 16);
//this.n32
buff32[6] = n8;
//prime number
this.instance.exports.getRawPrime();
var pos = 7;
for (let j=0; j<this.n32; j++) {
buff32[pos+j] = this.instance.exports.readSharedRWMemory(j);
}
pos += this.n32;
// witness size
buff32[pos] = this.witnessSize;
pos++;
//id section 2
buff32[pos] = 2;
pos++;
// section 2 length
const idSection2length = n8*this.witnessSize;
const idSection2lengthHex = idSection2length.toString(16);
buff32[pos] = parseInt(idSection2lengthHex.slice(0,8), 16);
buff32[pos+1] = parseInt(idSection2lengthHex.slice(8,16), 16);
pos += 2;
for (let i=0; i<this.witnessSize; i++) {
this.instance.exports.getWitness(i);
for (let j=0; j<this.n32; j++) {
buff32[pos+j] = this.instance.exports.readSharedRWMemory(j);
}
pos += this.n32;
}
return buff;
}
}
function qualify_input_list(prefix,input,input1){
if (Array.isArray(input)) {
for (let i = 0; i<input.length; i++) {
let new_prefix = prefix + "[" + i + "]";
qualify_input_list(new_prefix,input[i],input1);
}
} else {
qualify_input(prefix,input,input1);
}
}
function qualify_input(prefix,input,input1) {
if (Array.isArray(input)) {
a = flatArray(input);
if (a.length > 0) {
let t = typeof a[0];
for (let i = 1; i<a.length; i++) {
if (typeof a[i] != t){
throw new Error(`Types are not the same in the key ${prefix}`);
}
}
if (t == "object") {
qualify_input_list(prefix,input,input1);
} else {
input1[prefix] = input;
}
} else {
input1[prefix] = input;
}
} else if (typeof input == "object") {
const keys = Object.keys(input);
keys.forEach( (k) => {
let new_prefix = prefix == ""? k : prefix + "." + k;
qualify_input(new_prefix,input[k],input1);
});
} else {
input1[prefix] = input;
}
}
function toArray32(rem,size) {
const res = []; //new Uint32Array(size); //has no unshift
const radix = BigInt(0x100000000);
while (rem) {
res.unshift( Number(rem % radix));
rem = rem / radix;
}
if (size) {
var i = size - res.length;
while (i>0) {
res.unshift(0);
i--;
}
}
return res;
}
function fromArray32(arr) { //returns a BigInt
var res = BigInt(0);
const radix = BigInt(0x100000000);
for (let i = 0; i<arr.length; i++) {
res = res*radix + BigInt(arr[i]);
}
return res;
}
function flatArray(a) {
var res = [];
fillArray(res, a);
return res;
function fillArray(res, a) {
if (Array.isArray(a)) {
for (let i=0; i<a.length; i++) {
fillArray(res, a[i]);
}
} else {
res.push(a);
}
}
}
function normalize(n, prime) {
let res = BigInt(n) % prime
if (res < 0) res += prime
return res
}
function fnvHash(str) {
const uint64_max = BigInt(2) ** BigInt(64);
let hash = BigInt("0xCBF29CE484222325");
for (var i = 0; i < str.length; i++) {
hash ^= BigInt(str[i].charCodeAt());
hash *= BigInt(0x100000001B3);
hash %= uint64_max;
}
let shash = hash.toString(16);
let n = 16 - shash.length;
shash = '0'.repeat(n).concat(shash);
return shash;
}

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{
"protocol": "groth16",
"curve": "bn128",
"nPublic": 0,
"vk_alpha_1": [
"17878197547960430839188198659895507284003628546353226099044915418621989763688",
"2414401954608202804440744777004803831246497417525080466014468287036253862429",
"1"
],
"vk_beta_2": [
[
"18272358567695662813397521777636023960648994006030407065408973578488017511142",
"9712108885154437847450578891476498392461803797234760197580929785758376650650"
],
[
"18113399933881081841371513445282849558527348349073876801631247450598780960185",
"21680758250979848935332437508266260788381562861496889541922176243649072173633"
],
[
"1",
"0"
]
],
"vk_gamma_2": [
[
"10857046999023057135944570762232829481370756359578518086990519993285655852781",
"11559732032986387107991004021392285783925812861821192530917403151452391805634"
],
[
"8495653923123431417604973247489272438418190587263600148770280649306958101930",
"4082367875863433681332203403145435568316851327593401208105741076214120093531"
],
[
"1",
"0"
]
],
"vk_delta_2": [
[
"12165843319937710460660491044309080580686643140898844199182757276079170588931",
"12774548987221780347146542577375964674074290054683884142054120470956957679394"
],
[
"11495780469843451809285048515398120762160136824338528775648991644403497551783",
"5902046582690481723876569491209283634644066206041445880136420948730372505228"
],
[
"1",
"0"
]
],
"vk_alphabeta_12": [
[
[
"15043385564103330663613654339919240399186271643017395365045553432108770804738",
"12714364888329096003970077007548283476095989444275664320665990217429249744102"
],
[
"4280923934094610401199612902709542471670738247683892420346396755109361224194",
"5971523870632604777872650089881764809688186504221764776056510270055739855107"
],
[
"14459079939853070802140138225067878054463744988673516330641813466106780423229",
"4839711251154406360161812922311023717557179750909045977849842632717981230632"
]
],
[
[
"17169182168985102987328363961265278197034984474501990558050161317058972083308",
"8549555053510606289302165143849903925761285779139401276438959553414766561582"
],
[
"21525840049875620673656185364575700574261940775297555537759872607176225382844",
"10804170406986327484188973028629688550053758816273117067113206330300963522294"
],
[
"922917354257837537008604464003946574270465496760193887459466960343511330098",
"18548885909581399401732271754936250694134330406851366555038143648512851920594"
]
]
],
"IC": [
[
"4148018046519347596812177481784308374584693326254693053110348164627817172095",
"20730985524054218557052728073337277395061462810058907329882330843946617288874",
"1"
]
]
}

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pragma circom 2.0.0;
include "node_modules/circomlib/circuits/bitify.circom";
include "node_modules/circomlib/circuits/poseidon.circom";
/*
* Simple Receipt Attestation Circuit
*/
template SimpleReceipt() {
signal input receiptHash;
signal input receipt[4];
component hasher = Poseidon(4);
for (var i = 0; i < 4; i++) {
hasher.inputs[i] <== receipt[i];
}
hasher.out === receiptHash;
}
component main = SimpleReceipt();

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pragma circom 2.0.0;
include "node_modules/circomlib/circuits/bitify.circom";
include "node_modules/circomlib/circuits/poseidon.circom";
/*
* Simple Receipt Attestation Circuit
*
* This circuit proves that a receipt is valid without revealing sensitive details.
*
* Public Inputs:
* - receiptHash: Hash of the receipt (for public verification)
*
* Private Inputs:
* - receipt: The full receipt data (private)
*/
template SimpleReceipt() {
// Public signal
signal input receiptHash;
// Private signals
signal input receipt[4];
// Component for hashing
component hasher = Poseidon(4);
// Connect private inputs to hasher
for (var i = 0; i < 4; i++) {
hasher.inputs[i] <== receipt[i];
}
// Ensure the computed hash matches the public hash
hasher.out === receiptHash;
}
/*
* Membership Proof Circuit
*
* Proves that a value is part of a set without revealing which one
*/
template MembershipProof(n) {
// Public signals
signal input root;
signal input nullifier;
signal input pathIndices[n];
// Private signals
signal input leaf;
signal input pathElements[n];
signal input salt;
// Component for hashing
component hasher[n];
// Initialize hasher for the leaf
hasher[0] = Poseidon(2);
hasher[0].inputs[0] <== leaf;
hasher[0].inputs[1] <== salt;
// Hash up the Merkle tree
for (var i = 0; i < n - 1; i++) {
hasher[i + 1] = Poseidon(2);
// Choose left or right based on path index
hasher[i + 1].inputs[0] <== pathIndices[i] * pathElements[i] + (1 - pathIndices[i]) * hasher[i].out;
hasher[i + 1].inputs[1] <== pathIndices[i] * hasher[i].out + (1 - pathIndices[i]) * pathElements[i];
}
// Ensure final hash equals root
hasher[n - 1].out === root;
// Compute nullifier as hash(leaf, salt)
component nullifierHasher = Poseidon(2);
nullifierHasher.inputs[0] <== leaf;
nullifierHasher.inputs[1] <== salt;
nullifierHasher.out === nullifier;
}
/*
* Bid Range Proof Circuit
*
* Proves that a bid is within a valid range without revealing the amount
*/
template BidRangeProof() {
// Public signals
signal input commitment;
signal input minAmount;
signal input maxAmount;
// Private signals
signal input bid;
signal input salt;
// Component for hashing commitment
component commitmentHasher = Poseidon(2);
commitmentHasher.inputs[0] <== bid;
commitmentHasher.inputs[1] <== salt;
commitmentHasher.out === commitment;
// Components for range checking
component minChecker = GreaterEqThan(8);
component maxChecker = GreaterEqThan(8);
// Convert amounts to 8-bit representation
component bidBits = Num2Bits(64);
component minBits = Num2Bits(64);
component maxBits = Num2Bits(64);
bidBits.in <== bid;
minBits.in <== minAmount;
maxBits.in <== maxAmount;
// Check bid >= minAmount
for (var i = 0; i < 64; i++) {
minChecker.in[i] <== bidBits.out[i] - minBits.out[i];
}
minChecker.out === 1;
// Check maxAmount >= bid
for (var i = 0; i < 64; i++) {
maxChecker.in[i] <== maxBits.out[i] - bidBits.out[i];
}
maxChecker.out === 1;
}
// Main component instantiation
component main = SimpleReceipt();

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const wc = require("./witness_calculator.js");
const { readFileSync, writeFile } = require("fs");
if (process.argv.length != 5) {
console.log("Usage: node generate_witness.js <file.wasm> <input.json> <output.wtns>");
} else {
const input = JSON.parse(readFileSync(process.argv[3], "utf8"));
const buffer = readFileSync(process.argv[2]);
wc(buffer).then(async witnessCalculator => {
/*
const w= await witnessCalculator.calculateWitness(input,0);
for (let i=0; i< w.length; i++){
console.log(w[i]);
}*/
const buff= await witnessCalculator.calculateWTNSBin(input,0);
writeFile(process.argv[4], buff, function(err) {
if (err) throw err;
});
});
}

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module.exports = async function builder(code, options) {
options = options || {};
let wasmModule;
try {
wasmModule = await WebAssembly.compile(code);
} catch (err) {
console.log(err);
console.log("\nTry to run circom --c in order to generate c++ code instead\n");
throw new Error(err);
}
let wc;
let errStr = "";
let msgStr = "";
const instance = await WebAssembly.instantiate(wasmModule, {
runtime: {
exceptionHandler : function(code) {
let err;
if (code == 1) {
err = "Signal not found.\n";
} else if (code == 2) {
err = "Too many signals set.\n";
} else if (code == 3) {
err = "Signal already set.\n";
} else if (code == 4) {
err = "Assert Failed.\n";
} else if (code == 5) {
err = "Not enough memory.\n";
} else if (code == 6) {
err = "Input signal array access exceeds the size.\n";
} else {
err = "Unknown error.\n";
}
throw new Error(err + errStr);
},
printErrorMessage : function() {
errStr += getMessage() + "\n";
// console.error(getMessage());
},
writeBufferMessage : function() {
const msg = getMessage();
// Any calls to `log()` will always end with a `\n`, so that's when we print and reset
if (msg === "\n") {
console.log(msgStr);
msgStr = "";
} else {
// If we've buffered other content, put a space in between the items
if (msgStr !== "") {
msgStr += " "
}
// Then append the message to the message we are creating
msgStr += msg;
}
},
showSharedRWMemory : function() {
printSharedRWMemory ();
}
}
});
const sanityCheck =
options
// options &&
// (
// options.sanityCheck ||
// options.logGetSignal ||
// options.logSetSignal ||
// options.logStartComponent ||
// options.logFinishComponent
// );
wc = new WitnessCalculator(instance, sanityCheck);
return wc;
function getMessage() {
var message = "";
var c = instance.exports.getMessageChar();
while ( c != 0 ) {
message += String.fromCharCode(c);
c = instance.exports.getMessageChar();
}
return message;
}
function printSharedRWMemory () {
const shared_rw_memory_size = instance.exports.getFieldNumLen32();
const arr = new Uint32Array(shared_rw_memory_size);
for (let j=0; j<shared_rw_memory_size; j++) {
arr[shared_rw_memory_size-1-j] = instance.exports.readSharedRWMemory(j);
}
// If we've buffered other content, put a space in between the items
if (msgStr !== "") {
msgStr += " "
}
// Then append the value to the message we are creating
msgStr += (fromArray32(arr).toString());
}
};
class WitnessCalculator {
constructor(instance, sanityCheck) {
this.instance = instance;
this.version = this.instance.exports.getVersion();
this.n32 = this.instance.exports.getFieldNumLen32();
this.instance.exports.getRawPrime();
const arr = new Uint32Array(this.n32);
for (let i=0; i<this.n32; i++) {
arr[this.n32-1-i] = this.instance.exports.readSharedRWMemory(i);
}
this.prime = fromArray32(arr);
this.witnessSize = this.instance.exports.getWitnessSize();
this.sanityCheck = sanityCheck;
}
circom_version() {
return this.instance.exports.getVersion();
}
async _doCalculateWitness(input_orig, sanityCheck) {
//input is assumed to be a map from signals to arrays of bigints
this.instance.exports.init((this.sanityCheck || sanityCheck) ? 1 : 0);
let prefix = "";
var input = new Object();
//console.log("Input: ", input_orig);
qualify_input(prefix,input_orig,input);
//console.log("Input after: ",input);
const keys = Object.keys(input);
var input_counter = 0;
keys.forEach( (k) => {
const h = fnvHash(k);
const hMSB = parseInt(h.slice(0,8), 16);
const hLSB = parseInt(h.slice(8,16), 16);
const fArr = flatArray(input[k]);
let signalSize = this.instance.exports.getInputSignalSize(hMSB, hLSB);
if (signalSize < 0){
throw new Error(`Signal ${k} not found\n`);
}
if (fArr.length < signalSize) {
throw new Error(`Not enough values for input signal ${k}\n`);
}
if (fArr.length > signalSize) {
throw new Error(`Too many values for input signal ${k}\n`);
}
for (let i=0; i<fArr.length; i++) {
const arrFr = toArray32(normalize(fArr[i],this.prime),this.n32)
for (let j=0; j<this.n32; j++) {
this.instance.exports.writeSharedRWMemory(j,arrFr[this.n32-1-j]);
}
try {
this.instance.exports.setInputSignal(hMSB, hLSB,i);
input_counter++;
} catch (err) {
// console.log(`After adding signal ${i} of ${k}`)
throw new Error(err);
}
}
});
if (input_counter < this.instance.exports.getInputSize()) {
throw new Error(`Not all inputs have been set. Only ${input_counter} out of ${this.instance.exports.getInputSize()}`);
}
}
async calculateWitness(input, sanityCheck) {
const w = [];
await this._doCalculateWitness(input, sanityCheck);
for (let i=0; i<this.witnessSize; i++) {
this.instance.exports.getWitness(i);
const arr = new Uint32Array(this.n32);
for (let j=0; j<this.n32; j++) {
arr[this.n32-1-j] = this.instance.exports.readSharedRWMemory(j);
}
w.push(fromArray32(arr));
}
return w;
}
async calculateBinWitness(input, sanityCheck) {
const buff32 = new Uint32Array(this.witnessSize*this.n32);
const buff = new Uint8Array( buff32.buffer);
await this._doCalculateWitness(input, sanityCheck);
for (let i=0; i<this.witnessSize; i++) {
this.instance.exports.getWitness(i);
const pos = i*this.n32;
for (let j=0; j<this.n32; j++) {
buff32[pos+j] = this.instance.exports.readSharedRWMemory(j);
}
}
return buff;
}
async calculateWTNSBin(input, sanityCheck) {
const buff32 = new Uint32Array(this.witnessSize*this.n32+this.n32+11);
const buff = new Uint8Array( buff32.buffer);
await this._doCalculateWitness(input, sanityCheck);
//"wtns"
buff[0] = "w".charCodeAt(0)
buff[1] = "t".charCodeAt(0)
buff[2] = "n".charCodeAt(0)
buff[3] = "s".charCodeAt(0)
//version 2
buff32[1] = 2;
//number of sections: 2
buff32[2] = 2;
//id section 1
buff32[3] = 1;
const n8 = this.n32*4;
//id section 1 length in 64bytes
const idSection1length = 8 + n8;
const idSection1lengthHex = idSection1length.toString(16);
buff32[4] = parseInt(idSection1lengthHex.slice(0,8), 16);
buff32[5] = parseInt(idSection1lengthHex.slice(8,16), 16);
//this.n32
buff32[6] = n8;
//prime number
this.instance.exports.getRawPrime();
var pos = 7;
for (let j=0; j<this.n32; j++) {
buff32[pos+j] = this.instance.exports.readSharedRWMemory(j);
}
pos += this.n32;
// witness size
buff32[pos] = this.witnessSize;
pos++;
//id section 2
buff32[pos] = 2;
pos++;
// section 2 length
const idSection2length = n8*this.witnessSize;
const idSection2lengthHex = idSection2length.toString(16);
buff32[pos] = parseInt(idSection2lengthHex.slice(0,8), 16);
buff32[pos+1] = parseInt(idSection2lengthHex.slice(8,16), 16);
pos += 2;
for (let i=0; i<this.witnessSize; i++) {
this.instance.exports.getWitness(i);
for (let j=0; j<this.n32; j++) {
buff32[pos+j] = this.instance.exports.readSharedRWMemory(j);
}
pos += this.n32;
}
return buff;
}
}
function qualify_input_list(prefix,input,input1){
if (Array.isArray(input)) {
for (let i = 0; i<input.length; i++) {
let new_prefix = prefix + "[" + i + "]";
qualify_input_list(new_prefix,input[i],input1);
}
} else {
qualify_input(prefix,input,input1);
}
}
function qualify_input(prefix,input,input1) {
if (Array.isArray(input)) {
a = flatArray(input);
if (a.length > 0) {
let t = typeof a[0];
for (let i = 1; i<a.length; i++) {
if (typeof a[i] != t){
throw new Error(`Types are not the same in the key ${prefix}`);
}
}
if (t == "object") {
qualify_input_list(prefix,input,input1);
} else {
input1[prefix] = input;
}
} else {
input1[prefix] = input;
}
} else if (typeof input == "object") {
const keys = Object.keys(input);
keys.forEach( (k) => {
let new_prefix = prefix == ""? k : prefix + "." + k;
qualify_input(new_prefix,input[k],input1);
});
} else {
input1[prefix] = input;
}
}
function toArray32(rem,size) {
const res = []; //new Uint32Array(size); //has no unshift
const radix = BigInt(0x100000000);
while (rem) {
res.unshift( Number(rem % radix));
rem = rem / radix;
}
if (size) {
var i = size - res.length;
while (i>0) {
res.unshift(0);
i--;
}
}
return res;
}
function fromArray32(arr) { //returns a BigInt
var res = BigInt(0);
const radix = BigInt(0x100000000);
for (let i = 0; i<arr.length; i++) {
res = res*radix + BigInt(arr[i]);
}
return res;
}
function flatArray(a) {
var res = [];
fillArray(res, a);
return res;
function fillArray(res, a) {
if (Array.isArray(a)) {
for (let i=0; i<a.length; i++) {
fillArray(res, a[i]);
}
} else {
res.push(a);
}
}
}
function normalize(n, prime) {
let res = BigInt(n) % prime
if (res < 0) res += prime
return res
}
function fnvHash(str) {
const uint64_max = BigInt(2) ** BigInt(64);
let hash = BigInt("0xCBF29CE484222325");
for (var i = 0; i < str.length; i++) {
hash ^= BigInt(str[i].charCodeAt());
hash *= BigInt(0x100000001B3);
hash %= uint64_max;
}
let shash = hash.toString(16);
let n = 16 - shash.length;
shash = '0'.repeat(n).concat(shash);
return shash;
}

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pragma circom 2.0.0;
template Test() {
signal input in;
signal output out;
out <== in;
}
component main = Test();

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pragma circom 2.0.0;
template Test() {
signal input in;
signal output out;
out <== in;
}
component main = Test();

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pragma circom 0.5.46;
template Test() {
signal input in;
signal output out;
out <== in;
}
component main = Test();

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pragma circom 2.0.0;
template Test() {
signal input in;
signal output out;
out <== in;
}
component main = Test();

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1,1,0,main.out
2,-1,0,main.in

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{
"protocol": "groth16",
"curve": "bn128",
"nPublic": 1,
"vk_alpha_1": [
"8460216532488165727467564856413555351114670954785488538800357260241591659922",
"18445221864308632061488572037047946806659902339700033382142009763125814749748",
"1"
],
"vk_beta_2": [
[
"6479683735401057464856560780016689003394325158210495956800419236111697402941",
"10756899494323454451849886987287990433636781750938311280590204128566742369499"
],
[
"14397376998117601765034877247086905021783475930686205456376147632056422933833",
"20413115250143543082989954729570048513153861075230117372641105301032124129876"
],
[
"1",
"0"
]
],
"vk_gamma_2": [
[
"10857046999023057135944570762232829481370756359578518086990519993285655852781",
"11559732032986387107991004021392285783925812861821192530917403151452391805634"
],
[
"8495653923123431417604973247489272438418190587263600148770280649306958101930",
"4082367875863433681332203403145435568316851327593401208105741076214120093531"
],
[
"1",
"0"
]
],
"vk_delta_2": [
[
"6840503012950456034406412069208230277997775373740741539262294411073505372202",
"4187901564856243153173061219345467014727545819082218143172095490940414594424"
],
[
"15354962623567401613422376703326876887451375834046173755940516337285040531401",
"16312755549775593509550494456994863905270524213647477910622330564896885944010"
],
[
"1",
"0"
]
],
"vk_alphabeta_12": [
[
[
"8995664523327611111940695773435202321527189968635326175993425030330107869209",
"10636865864911719472203481854537187286731767382234618665029688610948280447774"
],
[
"2027301146985302003447473427699486288958511647692214852679531814142772884072",
"16315179087884712852887019534812875478380885062857601375409989804072625917625"
],
[
"5763629345463320911658464985147138827165295056412698652075257157933349925190",
"18007509234277924935356458855535698088409613611430357427754027720054049931159"
]
],
[
[
"12742020694779715461694294344022902700171616940484742698214637693643592478776",
"13449812718618008130272786901682245900092785345108866963867787217638117513710"
],
[
"4697328451762890383542458909679544743549594918890775424620183530718745223176",
"18283933325645065572175183630291803944633449818122421671865200510652516905389"
],
[
"325914140485583140584324883490363676367108249716427038595477057788929554745",
"6765772614216179391904319393793642468016331619939680620407685333447433218960"
]
]
],
"IC": [
[
"7685121570366407724807946503921961619833683410392772870373459476604128011275",
"6915443837935167692630810275110398177336960270031115982900890650376967129575",
"1"
],
[
"10363999014224824591638032348857401078402637116683579765969796919683926972060",
"5716124078230277423780595544607422628270452574948632939527677487979409581469",
"1"
]
]
}

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const wc = require("./witness_calculator.js");
const { readFileSync, writeFile } = require("fs");
if (process.argv.length != 5) {
console.log("Usage: node generate_witness.js <file.wasm> <input.json> <output.wtns>");
} else {
const input = JSON.parse(readFileSync(process.argv[3], "utf8"));
const buffer = readFileSync(process.argv[2]);
wc(buffer).then(async witnessCalculator => {
/*
const w= await witnessCalculator.calculateWitness(input,0);
for (let i=0; i< w.length; i++){
console.log(w[i]);
}*/
const buff= await witnessCalculator.calculateWTNSBin(input,0);
writeFile(process.argv[4], buff, function(err) {
if (err) throw err;
});
});
}

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module.exports = async function builder(code, options) {
options = options || {};
let wasmModule;
try {
wasmModule = await WebAssembly.compile(code);
} catch (err) {
console.log(err);
console.log("\nTry to run circom --c in order to generate c++ code instead\n");
throw new Error(err);
}
let wc;
let errStr = "";
let msgStr = "";
const instance = await WebAssembly.instantiate(wasmModule, {
runtime: {
exceptionHandler : function(code) {
let err;
if (code == 1) {
err = "Signal not found.\n";
} else if (code == 2) {
err = "Too many signals set.\n";
} else if (code == 3) {
err = "Signal already set.\n";
} else if (code == 4) {
err = "Assert Failed.\n";
} else if (code == 5) {
err = "Not enough memory.\n";
} else if (code == 6) {
err = "Input signal array access exceeds the size.\n";
} else {
err = "Unknown error.\n";
}
throw new Error(err + errStr);
},
printErrorMessage : function() {
errStr += getMessage() + "\n";
// console.error(getMessage());
},
writeBufferMessage : function() {
const msg = getMessage();
// Any calls to `log()` will always end with a `\n`, so that's when we print and reset
if (msg === "\n") {
console.log(msgStr);
msgStr = "";
} else {
// If we've buffered other content, put a space in between the items
if (msgStr !== "") {
msgStr += " "
}
// Then append the message to the message we are creating
msgStr += msg;
}
},
showSharedRWMemory : function() {
printSharedRWMemory ();
}
}
});
const sanityCheck =
options
// options &&
// (
// options.sanityCheck ||
// options.logGetSignal ||
// options.logSetSignal ||
// options.logStartComponent ||
// options.logFinishComponent
// );
wc = new WitnessCalculator(instance, sanityCheck);
return wc;
function getMessage() {
var message = "";
var c = instance.exports.getMessageChar();
while ( c != 0 ) {
message += String.fromCharCode(c);
c = instance.exports.getMessageChar();
}
return message;
}
function printSharedRWMemory () {
const shared_rw_memory_size = instance.exports.getFieldNumLen32();
const arr = new Uint32Array(shared_rw_memory_size);
for (let j=0; j<shared_rw_memory_size; j++) {
arr[shared_rw_memory_size-1-j] = instance.exports.readSharedRWMemory(j);
}
// If we've buffered other content, put a space in between the items
if (msgStr !== "") {
msgStr += " "
}
// Then append the value to the message we are creating
msgStr += (fromArray32(arr).toString());
}
};
class WitnessCalculator {
constructor(instance, sanityCheck) {
this.instance = instance;
this.version = this.instance.exports.getVersion();
this.n32 = this.instance.exports.getFieldNumLen32();
this.instance.exports.getRawPrime();
const arr = new Uint32Array(this.n32);
for (let i=0; i<this.n32; i++) {
arr[this.n32-1-i] = this.instance.exports.readSharedRWMemory(i);
}
this.prime = fromArray32(arr);
this.witnessSize = this.instance.exports.getWitnessSize();
this.sanityCheck = sanityCheck;
}
circom_version() {
return this.instance.exports.getVersion();
}
async _doCalculateWitness(input_orig, sanityCheck) {
//input is assumed to be a map from signals to arrays of bigints
this.instance.exports.init((this.sanityCheck || sanityCheck) ? 1 : 0);
let prefix = "";
var input = new Object();
//console.log("Input: ", input_orig);
qualify_input(prefix,input_orig,input);
//console.log("Input after: ",input);
const keys = Object.keys(input);
var input_counter = 0;
keys.forEach( (k) => {
const h = fnvHash(k);
const hMSB = parseInt(h.slice(0,8), 16);
const hLSB = parseInt(h.slice(8,16), 16);
const fArr = flatArray(input[k]);
let signalSize = this.instance.exports.getInputSignalSize(hMSB, hLSB);
if (signalSize < 0){
throw new Error(`Signal ${k} not found\n`);
}
if (fArr.length < signalSize) {
throw new Error(`Not enough values for input signal ${k}\n`);
}
if (fArr.length > signalSize) {
throw new Error(`Too many values for input signal ${k}\n`);
}
for (let i=0; i<fArr.length; i++) {
const arrFr = toArray32(normalize(fArr[i],this.prime),this.n32)
for (let j=0; j<this.n32; j++) {
this.instance.exports.writeSharedRWMemory(j,arrFr[this.n32-1-j]);
}
try {
this.instance.exports.setInputSignal(hMSB, hLSB,i);
input_counter++;
} catch (err) {
// console.log(`After adding signal ${i} of ${k}`)
throw new Error(err);
}
}
});
if (input_counter < this.instance.exports.getInputSize()) {
throw new Error(`Not all inputs have been set. Only ${input_counter} out of ${this.instance.exports.getInputSize()}`);
}
}
async calculateWitness(input, sanityCheck) {
const w = [];
await this._doCalculateWitness(input, sanityCheck);
for (let i=0; i<this.witnessSize; i++) {
this.instance.exports.getWitness(i);
const arr = new Uint32Array(this.n32);
for (let j=0; j<this.n32; j++) {
arr[this.n32-1-j] = this.instance.exports.readSharedRWMemory(j);
}
w.push(fromArray32(arr));
}
return w;
}
async calculateBinWitness(input, sanityCheck) {
const buff32 = new Uint32Array(this.witnessSize*this.n32);
const buff = new Uint8Array( buff32.buffer);
await this._doCalculateWitness(input, sanityCheck);
for (let i=0; i<this.witnessSize; i++) {
this.instance.exports.getWitness(i);
const pos = i*this.n32;
for (let j=0; j<this.n32; j++) {
buff32[pos+j] = this.instance.exports.readSharedRWMemory(j);
}
}
return buff;
}
async calculateWTNSBin(input, sanityCheck) {
const buff32 = new Uint32Array(this.witnessSize*this.n32+this.n32+11);
const buff = new Uint8Array( buff32.buffer);
await this._doCalculateWitness(input, sanityCheck);
//"wtns"
buff[0] = "w".charCodeAt(0)
buff[1] = "t".charCodeAt(0)
buff[2] = "n".charCodeAt(0)
buff[3] = "s".charCodeAt(0)
//version 2
buff32[1] = 2;
//number of sections: 2
buff32[2] = 2;
//id section 1
buff32[3] = 1;
const n8 = this.n32*4;
//id section 1 length in 64bytes
const idSection1length = 8 + n8;
const idSection1lengthHex = idSection1length.toString(16);
buff32[4] = parseInt(idSection1lengthHex.slice(0,8), 16);
buff32[5] = parseInt(idSection1lengthHex.slice(8,16), 16);
//this.n32
buff32[6] = n8;
//prime number
this.instance.exports.getRawPrime();
var pos = 7;
for (let j=0; j<this.n32; j++) {
buff32[pos+j] = this.instance.exports.readSharedRWMemory(j);
}
pos += this.n32;
// witness size
buff32[pos] = this.witnessSize;
pos++;
//id section 2
buff32[pos] = 2;
pos++;
// section 2 length
const idSection2length = n8*this.witnessSize;
const idSection2lengthHex = idSection2length.toString(16);
buff32[pos] = parseInt(idSection2lengthHex.slice(0,8), 16);
buff32[pos+1] = parseInt(idSection2lengthHex.slice(8,16), 16);
pos += 2;
for (let i=0; i<this.witnessSize; i++) {
this.instance.exports.getWitness(i);
for (let j=0; j<this.n32; j++) {
buff32[pos+j] = this.instance.exports.readSharedRWMemory(j);
}
pos += this.n32;
}
return buff;
}
}
function qualify_input_list(prefix,input,input1){
if (Array.isArray(input)) {
for (let i = 0; i<input.length; i++) {
let new_prefix = prefix + "[" + i + "]";
qualify_input_list(new_prefix,input[i],input1);
}
} else {
qualify_input(prefix,input,input1);
}
}
function qualify_input(prefix,input,input1) {
if (Array.isArray(input)) {
a = flatArray(input);
if (a.length > 0) {
let t = typeof a[0];
for (let i = 1; i<a.length; i++) {
if (typeof a[i] != t){
throw new Error(`Types are not the same in the key ${prefix}`);
}
}
if (t == "object") {
qualify_input_list(prefix,input,input1);
} else {
input1[prefix] = input;
}
} else {
input1[prefix] = input;
}
} else if (typeof input == "object") {
const keys = Object.keys(input);
keys.forEach( (k) => {
let new_prefix = prefix == ""? k : prefix + "." + k;
qualify_input(new_prefix,input[k],input1);
});
} else {
input1[prefix] = input;
}
}
function toArray32(rem,size) {
const res = []; //new Uint32Array(size); //has no unshift
const radix = BigInt(0x100000000);
while (rem) {
res.unshift( Number(rem % radix));
rem = rem / radix;
}
if (size) {
var i = size - res.length;
while (i>0) {
res.unshift(0);
i--;
}
}
return res;
}
function fromArray32(arr) { //returns a BigInt
var res = BigInt(0);
const radix = BigInt(0x100000000);
for (let i = 0; i<arr.length; i++) {
res = res*radix + BigInt(arr[i]);
}
return res;
}
function flatArray(a) {
var res = [];
fillArray(res, a);
return res;
function fillArray(res, a) {
if (Array.isArray(a)) {
for (let i=0; i<a.length; i++) {
fillArray(res, a[i]);
}
} else {
res.push(a);
}
}
}
function normalize(n, prime) {
let res = BigInt(n) % prime
if (res < 0) res += prime
return res
}
function fnvHash(str) {
const uint64_max = BigInt(2) ** BigInt(64);
let hash = BigInt("0xCBF29CE484222325");
for (var i = 0; i < str.length; i++) {
hash ^= BigInt(str[i].charCodeAt());
hash *= BigInt(0x100000001B3);
hash %= uint64_max;
}
let shash = hash.toString(16);
let n = 16 - shash.length;
shash = '0'.repeat(n).concat(shash);
return shash;
}

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// SPDX-License-Identifier: GPL-3.0
/*
Copyright 2021 0KIMS association.
This file is generated with [snarkJS](https://github.com/iden3/snarkjs).
snarkJS is a free software: you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
snarkJS is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
License for more details.
You should have received a copy of the GNU General Public License
along with snarkJS. If not, see <https://www.gnu.org/licenses/>.
*/
pragma solidity >=0.7.0 <0.9.0;
contract Groth16Verifier {
// Scalar field size
uint256 constant r = 21888242871839275222246405745257275088548364400416034343698204186575808495617;
// Base field size
uint256 constant q = 21888242871839275222246405745257275088696311157297823662689037894645226208583;
// Verification Key data
uint256 constant alphax = 8460216532488165727467564856413555351114670954785488538800357260241591659922;
uint256 constant alphay = 18445221864308632061488572037047946806659902339700033382142009763125814749748;
uint256 constant betax1 = 10756899494323454451849886987287990433636781750938311280590204128566742369499;
uint256 constant betax2 = 6479683735401057464856560780016689003394325158210495956800419236111697402941;
uint256 constant betay1 = 20413115250143543082989954729570048513153861075230117372641105301032124129876;
uint256 constant betay2 = 14397376998117601765034877247086905021783475930686205456376147632056422933833;
uint256 constant gammax1 = 11559732032986387107991004021392285783925812861821192530917403151452391805634;
uint256 constant gammax2 = 10857046999023057135944570762232829481370756359578518086990519993285655852781;
uint256 constant gammay1 = 4082367875863433681332203403145435568316851327593401208105741076214120093531;
uint256 constant gammay2 = 8495653923123431417604973247489272438418190587263600148770280649306958101930;
uint256 constant deltax1 = 4187901564856243153173061219345467014727545819082218143172095490940414594424;
uint256 constant deltax2 = 6840503012950456034406412069208230277997775373740741539262294411073505372202;
uint256 constant deltay1 = 16312755549775593509550494456994863905270524213647477910622330564896885944010;
uint256 constant deltay2 = 15354962623567401613422376703326876887451375834046173755940516337285040531401;
uint256 constant IC0x = 7685121570366407724807946503921961619833683410392772870373459476604128011275;
uint256 constant IC0y = 6915443837935167692630810275110398177336960270031115982900890650376967129575;
uint256 constant IC1x = 10363999014224824591638032348857401078402637116683579765969796919683926972060;
uint256 constant IC1y = 5716124078230277423780595544607422628270452574948632939527677487979409581469;
// Memory data
uint16 constant pVk = 0;
uint16 constant pPairing = 128;
uint16 constant pLastMem = 896;
function verifyProof(uint[2] calldata _pA, uint[2][2] calldata _pB, uint[2] calldata _pC, uint[1] calldata _pubSignals) public view returns (bool) {
assembly {
function checkField(v) {
if iszero(lt(v, r)) {
mstore(0, 0)
return(0, 0x20)
}
}
// G1 function to multiply a G1 value(x,y) to value in an address
function g1_mulAccC(pR, x, y, s) {
let success
let mIn := mload(0x40)
mstore(mIn, x)
mstore(add(mIn, 32), y)
mstore(add(mIn, 64), s)
success := staticcall(sub(gas(), 2000), 7, mIn, 96, mIn, 64)
if iszero(success) {
mstore(0, 0)
return(0, 0x20)
}
mstore(add(mIn, 64), mload(pR))
mstore(add(mIn, 96), mload(add(pR, 32)))
success := staticcall(sub(gas(), 2000), 6, mIn, 128, pR, 64)
if iszero(success) {
mstore(0, 0)
return(0, 0x20)
}
}
function checkPairing(pA, pB, pC, pubSignals, pMem) -> isOk {
let _pPairing := add(pMem, pPairing)
let _pVk := add(pMem, pVk)
mstore(_pVk, IC0x)
mstore(add(_pVk, 32), IC0y)
// Compute the linear combination vk_x
g1_mulAccC(_pVk, IC1x, IC1y, calldataload(add(pubSignals, 0)))
// -A
mstore(_pPairing, calldataload(pA))
mstore(add(_pPairing, 32), mod(sub(q, calldataload(add(pA, 32))), q))
// B
mstore(add(_pPairing, 64), calldataload(pB))
mstore(add(_pPairing, 96), calldataload(add(pB, 32)))
mstore(add(_pPairing, 128), calldataload(add(pB, 64)))
mstore(add(_pPairing, 160), calldataload(add(pB, 96)))
// alpha1
mstore(add(_pPairing, 192), alphax)
mstore(add(_pPairing, 224), alphay)
// beta2
mstore(add(_pPairing, 256), betax1)
mstore(add(_pPairing, 288), betax2)
mstore(add(_pPairing, 320), betay1)
mstore(add(_pPairing, 352), betay2)
// vk_x
mstore(add(_pPairing, 384), mload(add(pMem, pVk)))
mstore(add(_pPairing, 416), mload(add(pMem, add(pVk, 32))))
// gamma2
mstore(add(_pPairing, 448), gammax1)
mstore(add(_pPairing, 480), gammax2)
mstore(add(_pPairing, 512), gammay1)
mstore(add(_pPairing, 544), gammay2)
// C
mstore(add(_pPairing, 576), calldataload(pC))
mstore(add(_pPairing, 608), calldataload(add(pC, 32)))
// delta2
mstore(add(_pPairing, 640), deltax1)
mstore(add(_pPairing, 672), deltax2)
mstore(add(_pPairing, 704), deltay1)
mstore(add(_pPairing, 736), deltay2)
let success := staticcall(sub(gas(), 2000), 8, _pPairing, 768, _pPairing, 0x20)
isOk := and(success, mload(_pPairing))
}
let pMem := mload(0x40)
mstore(0x40, add(pMem, pLastMem))
// Validate that all evaluations ∈ F
checkField(calldataload(add(_pubSignals, 0)))
// Validate all evaluations
let isValid := checkPairing(_pA, _pB, _pC, _pubSignals, pMem)
mstore(0, isValid)
return(0, 0x20)
}
}
}

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pragma circom 0.5.46;
template Test() {
signal input in;
signal output out;
out <== in;
}
component main = Test();

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pragma circom 0.5.46;
template Test() {
signal input in;
signal output out;
out <== in;
}
component main = Test();

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