""" Payment Tracker for License Compliance Monitoring Tracks royalty payments, fees, and financial obligations for license agreements. SECURITY CONSIDERATIONS: ------------------------ This module handles sensitive financial data. Ensure: 1. All payment data is encrypted at rest (AES-256 recommended) 2. Access is logged for audit compliance 3. PCI-DSS guidelines are followed if processing card data 4. Data retention policies are implemented GDPR COMPLIANCE: --------------- - Payment records may contain personal data of signatories - Implement data minimization - only store necessary fields - Support data portability and right-to-erasure requests - Maintain records of processing activities Author: SPARKNET Team Project: VISTA/Horizon EU Status: Placeholder - In Development """ from typing import Optional, Dict, Any, List from dataclasses import dataclass, field from datetime import datetime, date, timedelta from enum import Enum from loguru import logger class PaymentFrequency(str, Enum): """Payment schedule frequency.""" ONE_TIME = "one_time" MONTHLY = "monthly" QUARTERLY = "quarterly" SEMI_ANNUAL = "semi_annual" ANNUAL = "annual" MILESTONE_BASED = "milestone_based" class RevenueType(str, Enum): """Type of revenue/payment.""" UPFRONT_FEE = "upfront_fee" ROYALTY = "royalty" MILESTONE_PAYMENT = "milestone_payment" MAINTENANCE_FEE = "maintenance_fee" SUBLICENSE_FEE = "sublicense_fee" MINIMUM_PAYMENT = "minimum_payment" @dataclass class PaymentSchedule: """ Payment schedule configuration for a license agreement. GDPR Note: May reference personal data (contact info). Implement appropriate access controls. """ schedule_id: str license_id: str frequency: PaymentFrequency revenue_type: RevenueType base_amount: Optional[float] = None percentage_rate: Optional[float] = None # For royalties currency: str = "EUR" start_date: Optional[date] = None end_date: Optional[date] = None payment_terms_days: int = 30 # Days until payment is due late_fee_percentage: float = 0.0 minimum_payment: Optional[float] = None metadata: Dict[str, Any] = field(default_factory=dict) @dataclass class RevenueAlert: """ Revenue monitoring alert configuration. Used to notify TTO staff of payment anomalies. """ alert_id: str license_id: str alert_type: str # threshold_exceeded, payment_overdue, anomaly_detected threshold_value: Optional[float] = None comparison_operator: str = "greater_than" # greater_than, less_than, equals notification_channels: List[str] = field(default_factory=list) # email, slack, sms enabled: bool = True class PaymentTracker: """ Tracks payments and revenue for license agreements. This component: - Records incoming payments - Tracks overdue payments - Generates revenue alerts - Produces financial reports PRIVATE DEPLOYMENT NOTES: ------------------------- For on-premise deployment: 1. Use local PostgreSQL with SSL/TLS 2. Implement database connection pooling 3. Configure backup and disaster recovery 4. Set up monitoring for payment processing For enhanced security: 1. Use hardware security modules (HSM) for encryption keys 2. Implement IP allowlisting for database access 3. Enable query auditing 4. Configure intrusion detection """ def __init__( self, database_url: Optional[str] = None, notification_service: Optional[Any] = None, ): """ Initialize Payment Tracker. Args: database_url: Secure database connection URL notification_service: Service for sending alerts """ self.database_url = database_url self.notification_service = notification_service self.name = "PaymentTracker" logger.info(f"Initialized {self.name} (placeholder)") async def record_payment( self, license_id: str, amount: float, currency: str, payment_date: date, revenue_type: RevenueType, reference: Optional[str] = None, ) -> Dict[str, Any]: """ Record a payment received for a license agreement. Args: license_id: License agreement identifier amount: Payment amount currency: Currency code (EUR, USD, etc.) payment_date: Date payment was received revenue_type: Type of revenue reference: Payment reference/invoice number Returns: Payment record confirmation TODO: Implement actual payment recording logic """ logger.info(f"Recording payment of {amount} {currency} for license: {license_id}") # Placeholder response return { "payment_id": f"pmt_{datetime.now().strftime('%Y%m%d_%H%M%S')}", "license_id": license_id, "amount": amount, "currency": currency, "payment_date": payment_date.isoformat(), "revenue_type": revenue_type.value, "reference": reference, "status": "recorded", "message": "Payment recording not yet fully implemented", } async def get_overdue_payments( self, as_of_date: Optional[date] = None, days_overdue: int = 0, ) -> List[Dict[str, Any]]: """ Get list of overdue payments. Args: as_of_date: Reference date (defaults to today) days_overdue: Minimum days overdue to include Returns: List of overdue payment records TODO: Implement actual overdue payment tracking """ as_of_date = as_of_date or date.today() logger.info(f"Checking overdue payments as of {as_of_date}") # Placeholder response return [] async def calculate_revenue_summary( self, start_date: date, end_date: date, group_by: str = "month", ) -> Dict[str, Any]: """ Calculate revenue summary for a date range. Args: start_date: Start of reporting period end_date: End of reporting period group_by: Grouping period (day, week, month, quarter, year) Returns: Revenue summary with breakdowns TODO: Implement actual revenue calculation """ logger.info(f"Calculating revenue from {start_date} to {end_date}") # Placeholder response return { "period": { "start": start_date.isoformat(), "end": end_date.isoformat(), }, "total_revenue": 0.0, "currency": "EUR", "by_period": [], "by_revenue_type": {}, "by_license": {}, "status": "placeholder", "message": "Revenue calculation not yet implemented", } async def create_revenue_alert( self, license_id: str, alert_type: str, threshold: float, notification_channels: List[str], ) -> RevenueAlert: """ Create a revenue monitoring alert. Args: license_id: License to monitor alert_type: Type of alert threshold: Threshold value notification_channels: Where to send alerts Returns: Created alert configuration TODO: Implement actual alert creation logic """ logger.info(f"Creating revenue alert for license: {license_id}") return RevenueAlert( alert_id=f"ralert_{datetime.now().strftime('%Y%m%d_%H%M%S')}", license_id=license_id, alert_type=alert_type, threshold_value=threshold, notification_channels=notification_channels, ) async def check_revenue_thresholds(self) -> List[Dict[str, Any]]: """ Check all revenue alerts and generate notifications. Returns: List of triggered alerts TODO: Implement actual threshold checking """ logger.info("Checking revenue thresholds") # Placeholder response return []