src/agents/scenario3/payment_tracker.py

"""
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 []