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"""
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 []
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