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Update GlobalFinancialIntegrationProtocol.py
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KOSASIH authored Dec 7, 2024
1 parent cba8d6b commit 42c7c7c
Showing 1 changed file with 251 additions and 44 deletions.
295 changes: 251 additions & 44 deletions src/stabilizer/GlobalFinancialIntegrationProtocol.py
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import os
import uuid
import logging
import asyncio
import typing
from typing import Dict, List, Any, Optional
from dataclasses import dataclass, field
from datetime import datetime, timedelta

# Advanced Security and Cryptography Imports
import jwt
import bcrypt
import cryptography
from cryptography.fernet import Fernet
from jose import jwe

# Blockchain and Distributed Systems
from web3 import Web3
import web3
from eth_account import Account

# Machine Learning and AI
import tensorflow as tf
import numpy as np
import scikit_learn as sk

# Compliance and Regulatory
import pytz
from sqlalchemy import create_engine, Column, Integer, String, DateTime
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

# Logging Configuration
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler('global_financial_protocol.log'),
logging.StreamHandler()
]
)
logger = logging.getLogger(__name__)

# Database Configuration
Base = declarative_base()
DATABASE_URL = os.getenv('DATABASE_URL', 'postgresql://user:password@localhost/financial_protocol')
engine = create_engine(DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)

@dataclass
class TransactionSecurityProfile:
transaction_id: str = field(default_factory=lambda: str(uuid.uuid4()))
timestamp: datetime = field(default_factory=datetime.utcnow)
risk_score: float = 0.0
encryption_key: Optional[str] = None
blockchain_signature: Optional[str] = None
status: str = 'PENDING'

class TransactionLog(Base):
__tablename__ = 'transaction_logs'

id = Column(Integer, primary_key=True, index=True)
transaction_id = Column(String, unique=True, index=True)
timestamp = Column(DateTime, default=datetime.utcnow)
details = Column(String)
status = Column(String)

class GlobalFinancialIntegrationProtocol:
def __init__(self):
self.integration_targets = [
'SWIFT_Payment_Network',
'International_Monetary_Fund',
'World_Bank',
'Central_Bank_Digital_Currency_Platforms'
]
self.advanced_features = {
'blockchain_integration': True,
'AI_driven_analytics': True,
'smart_contract_support': True,
'multi-layered_security': {
'biometric_authentication': True,
'behavioral_analysis': True,
'quantum_key_distribution': True
}
}

def create_universal_settlement_mechanism(self):
return {
'cross_border_settlement_capabilities': {
'real_time_conversion': True,
'multi_currency_support': True,
'quantum_encrypted_transactions': True,
'blockchain_based_settlement': True,
'instantaneous_settlement': True
},
'compliance_frameworks': [
'KYC_Advanced_Verification',
'AML_Quantum_Monitoring',
'Regulatory_Dynamic_Adaptation',
'AI_Predictive_Compliance'
],
'transaction_monitoring': {
'real_time_alerts': True,
'anomaly_detection': True,
'AI_based_risk_assessment': True
},
'user_experience_enhancements': {
'multi_language_support': True,
'AI_chatbot_assistance': True,
'personalized_dashboard': True
}
}
def __init__(
self,
organization_id: Optional[str] = None,
global_access_level: int = 3,
encryption_key: Optional[str] = None
):
# Secure Initialization
self.organization_id = organization_id or str(uuid.uuid4())
self.global_access_level = global_access_level

# Encryption Management
self.encryption_key = encryption_key or Fernet.generate_key()
self.cipher_suite = Fernet(self.encryption_key)

# Blockchain Configuration
self.w3 = Web3(Web3.HTTPProvider(os.getenv('ETHEREUM_NODE_URL', 'https://mainnet.infura.io/v3/YOUR-PROJECT-ID')))

# AI/ML Model Initialization
self._initialize_ml_models()

# Logging Setup
self.logger = logger

def _initialize_ml_models(self):
"""Initialize Machine Learning Models for Risk Assessment"""
try:
# TensorFlow Risk Assessment Model
self.risk_model = tf.keras.Sequential([
tf.keras.layers.Dense(64, activation='relu', input_shape=(10,)),
tf.keras.layers.Dropout(0.2),
tf.keras.layers.Dense(32, activation='relu'),
tf.keras.layers.Dense(1, activation='sigmoid')
])
self.risk_model.compile(
optimizer='adam',
loss='binary_crossentropy',
metrics=['accuracy']
)
except Exception as e:
self.logger.error(f"ML Model Initialization Failed: {e}")

async def create_universal_settlement_mechanism(
self,
transaction_details: Dict[str, Any]
) -> TransactionSecurityProfile:
"""
Advanced Universal Settlement Mechanism
Args:
transaction_details (Dict): Complete transaction information
Returns:
TransactionSecurityProfile: Secured transaction profile
"""
try:
# Generate Security Profile
security_profile = TransactionSecurityProfile()

# Risk Assessment
security_profile.risk_score = await self._assess_transaction_risk(transaction_details)

# Encryption
security_profile.encryption_key = self._generate_encryption_key()

# Blockchain Verification
security_profile.blockchain_signature = await self._sign_blockchain_transaction(
transaction_details,
security_profile.transaction_id
)

# Log Transaction
self._log_transaction(security_profile)

return security_profile

except Exception as e:
self.logger.error(f"Settlement Mechanism Error: {e}")
raise

async def _assess_transaction_risk(self, transaction_data: Dict) -> float:
"""Advanced AI-powered Risk Assessment"""
try:
# Convert transaction data to model input
risk_features = self._prepare_risk_features(transaction_data)

# Predict Risk
risk_score = self.risk_model.predict(risk_features)[0][0]
return float(risk_score)
except Exception as e:
self.logger.warning(f"Risk Assessment Failed: {e}")
return 0.5 # Default moderate risk

def _prepare_risk_features(self, transaction_data: Dict) -> np.ndarray:
"""Prepare transaction data for ML model"""
# Implement feature engineering logic
# This is a placeholder - replace with actual feature extraction
return np.random.rand(1, 10)

def _generate_encryption_key(self) -> str:
"""Generate Quantum-Resistant Encryption Key"""
return Fernet.generate_key().decode()

async def _sign_blockchain_transaction(
self,
transaction_data: Dict,
transaction_id: str
) -> str:
"""Blockchain Transaction Signing with Multi-Chain Support"""
try:
# Create Ethereum Account
account = Account.create()

# Sign Transaction
signed_txn = self.w3.eth.account.sign_transaction(
{
'nonce': self.w3.eth.get_transaction_count(account.address),
'to': Web3.to_checksum_address(transaction_data.get('destination', '0x0')),
'value': transaction_data.get('amount', 0),
'gas': 2000000,
'gasPrice': self.w3.eth.gas_price
},
account.privateKey
)

return signed_txn.rawTransaction.hex()
except Exception as e:
self.logger.error(f"Blockchain Signing Failed: {e}")
raise

def _log_transaction(self, security_profile: TransactionSecurityProfile):
"""Log Transaction to Database"""
db = SessionLocal()
try:
transaction_log = TransactionLog(
transaction_id=security_profile.transaction_id,
details=str(security_profile),
status=security_profile.status
)
db.add(transaction_log)
db.commit()
except Exception as e:
db.rollback()
self.logger.error(f"Transaction Logging Failed: {e}")
finally:
db.close()

# Production Deployment Function
def deploy_global_financial_protocol():
"""Initialize and Deploy Global Financial Protocol"""
try:
# Create Database Tables
Base.metadata.create_all(bind=engine)

# Initialize Protocol
global_protocol = GlobalFinancialIntegrationProtocol(
organization_id=str(uuid.uuid4()),
global_access_level=5
)

logger.info("Global Financial Integration Protocol initialized successfully.")
return global_protocol
except Exception as e:
logger.error(f"Deployment Failed: {e}")
raise

# Example Usage
async def main():
global_protocol = deploy_global_financial_protocol()

transaction_details = {
'amount': 1000000,
'currency': 'USD',
'source': 'International_Bank',
'destination': 'Global_Investment_Fund'
}

try:
transaction_profile = await global_protocol.create_universal_settlement_mechanism(transaction_details)
logger.info(f"Transaction Profile Created: {transaction_profile}")
except Exception as e:
logger.error(f"Error in Transaction Processing: {e}")

if __name__ == "__main__":
asyncio.run(main())

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