| """ |
| 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 |
| currency: str = "EUR" |
| start_date: Optional[date] = None |
| end_date: Optional[date] = None |
| payment_terms_days: int = 30 |
| 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_value: Optional[float] = None |
| comparison_operator: str = "greater_than" |
| notification_channels: List[str] = field(default_factory=list) |
| 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}") |
|
|
| |
| 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}") |
|
|
| |
| 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}") |
|
|
| |
| 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") |
|
|
| |
| return [] |
|
|
