core/monetization.py

import asyncio
from datetime import datetime
from typing import Dict, List
from core.models import Task
import logging

logger = logging.getLogger(__name__)


class MonetizationEngine:
    """
    Monetization Engine for AutoSEO - handles all revenue generation logic
    """
    
    def __init__(self):
        self.subscription_tiers = {
            "starter": {
                "price": 299,
                "features": ["basic_seo", "10_content_pieces", "monthly_report"],
                "cost_per_month": 50  # Estimated cost for resources
            },
            "professional": {
                "price": 799,
                "features": ["full_seo", "30_content_pieces", "link_building", "weekly_report"],
                "cost_per_month": 120
            },
            "enterprise": {
                "price": 1499,
                "features": ["advanced_seo", "100_content_pieces", "white_label", "priority_support"],
                "cost_per_month": 250
            }
        }
        
        self.customers = []
        self.revenue_data = {
            "monthly_recurring_revenue": 0,
            "performance_bonus_revenue": 0,
            "one_time_revenue": 0,
            "total_revenue": 0
        }
        
        self.pricing_strategies = []
        self.customer_ltv = {}
        
    async def calculate_mrr(self) -> float:
        """Calculate Monthly Recurring Revenue"""
        mrr = 0
        for customer in self.customers:
            tier = customer.get('tier', 'starter')
            mrr += self.subscription_tiers[tier]['price']
        self.revenue_data['monthly_recurring_revenue'] = mrr
        return mrr
    
    async def calculate_customer_acquisition_cost(self) -> float:
        """Calculate average customer acquisition cost"""
        if not self.customers:
            return 0
        
        # Simulated CAC calculation
        total_acquisition_cost = len(self.customers) * 150  # $150 per customer acquisition
        cac = total_acquisition_cost / len(self.customers)
        return cac
    
    async def calculate_customer_ltv(self, customer_id: str) -> float:
        """Calculate lifetime value for a specific customer"""
        # Simulate LTV calculation based on tier and tenure
        customer = next((c for c in self.customers if c['id'] == customer_id), None)
        if not customer:
            return 0
            
        tier = customer.get('tier', 'starter')
        monthly_value = self.subscription_tiers[tier]['price']
        
        # Estimate tenure in months (could be based on actual data)
        estimated_tenure_months = 12  # Average tenure assumption
        
        ltv = monthly_value * estimated_tenure_months
        self.customer_ltv[customer_id] = ltv
        return ltv
    
    async def calculate_roi_for_customer(self, customer_id: str) -> Dict[str, float]:
        """Calculate ROI for a specific customer's SEO investment"""
        # Simulate ROI calculation based on traffic and conversion improvements
        roi_data = {
            "investment": self.subscription_tiers.get("professional", {}).get("price", 799) * 12,  # Annual subscription cost
            "traffic_increase_value": 25000,  # Estimated value of traffic increase
            "conversion_increase_value": 15000,  # Estimated value of conversion improvement
            "total_return": 40000,
            "roi_percentage": 333  # (40000-799*12)/(799*12)*100
        }
        return roi_data
    
    async def generate_performance_bonus(self, customer_id: str, performance_metrics: Dict) -> float:
        """Generate performance bonus based on results achieved"""
        # Calculate bonus based on traffic, ranking, or revenue improvements
        bonus = 0
        
        # Example: 10% of revenue increase as bonus
        revenue_increase = performance_metrics.get("revenue_increase", 0)
        bonus = revenue_increase * 0.10
        
        self.revenue_data['performance_bonus_revenue'] += bonus
        return bonus
    
    async def calculate_white_label_licensing_revenue(self, licenses_sold: int) -> float:
        """Calculate revenue from white-label licensing"""
        price_per_license = 4999  # Annual license fee
        revenue = licenses_sold * price_per_license
        self.revenue_data['one_time_revenue'] += revenue
        return revenue
    
    async def calculate_niche_site_revenue(self, sites_sold: int) -> float:
        """Calculate revenue from selling niche authority sites"""
        avg_site_value = 25000  # Average value of a niche site
        revenue = sites_sold * avg_site_value
        self.revenue_data['one_time_revenue'] += revenue
        return revenue
    
    async def calculate_affiliate_revenue(self, referrals: int) -> float:
        """Calculate affiliate revenue from tool/service referrals"""
        commission_per_referral = 50  # Average commission per referral
        revenue = referrals * commission_per_referral
        self.revenue_data['one_time_revenue'] += revenue
        return revenue
    
    async def get_revenue_projection(self, months: int = 12) -> Dict[str, List[float]]:
        """Project revenue for the next N months"""
        current_mrr = await self.calculate_mrr()
        
        # Simulate growth projections
        projected_revenue = {
            "mrr": [],
            "cumulative_revenue": []
        }
        
        cumulative = 0
        for month in range(1, months + 1):
            # Simulate 10% monthly growth
            projected_mrr = current_mrr * (1.10 ** (month - 1))
            projected_revenue["mrr"].append(projected_mrr)
            
            cumulative += projected_mrr
            projected_revenue["cumulative_revenue"].append(cumulative)
        
        return projected_revenue
    
    async def add_customer(self, customer_data: Dict):
        """Add a new customer to the system"""
        customer = {
            "id": f"cust_{len(self.customers) + 1}",
            "name": customer_data.get("name", "Unknown"),
            "tier": customer_data.get("tier", "starter"),
            "signup_date": datetime.now(),
            "status": "active"
        }
        self.customers.append(customer)
        logger.info(f"Added new customer: {customer['name']} ({customer['tier']} tier)")
    
    async def process_billing_cycle(self):
        """Process monthly billing cycle"""
        logger.info("Processing monthly billing cycle...")
        
        # Calculate MRR
        mrr = await self.calculate_mrr()
        
        # Calculate costs
        total_costs = 0
        for customer in self.customers:
            tier = customer.get('tier', 'starter')
            total_costs += self.subscription_tiers[tier]['cost_per_month']
        
        # Update total revenue
        self.revenue_data['total_revenue'] = mrr + self.revenue_data['performance_bonus_revenue'] + self.revenue_data['one_time_revenue']
        
        logger.info(f"Billing cycle complete - MRR: ${mrr}, Costs: ${total_costs}, Net Revenue: ${mrr - total_costs}")
    
    async def get_monetization_dashboard(self) -> Dict:
        """Get comprehensive monetization dashboard data"""
        mrr = await self.calculate_mrr()
        cac = await self.calculate_customer_acquisition_cost()
        
        dashboard_data = {
            "revenue_summary": self.revenue_data,
            "customer_metrics": {
                "total_customers": len(self.customers),
                "mrr": mrr,
                "arpu": mrr / len(self.customers) if self.customers else 0,
                "cac": cac,
                "ltv_cac_ratio": (await self.calculate_customer_ltv(self.customers[0]['id']) / cac) if self.customers and cac > 0 else 0
            },
            "projection_12_months": await self.get_revenue_projection(12),
            "subscription_breakdown": {
                tier: len([c for c in self.customers if c.get('tier') == tier]) 
                for tier in self.subscription_tiers.keys()
            }
        }
        
        return dashboard_data


# Example usage and testing
async def test_monetization_engine():
    """Test the monetization engine"""
    engine = MonetizationEngine()
    
    # Add sample customers
    await engine.add_customer({"name": "Acme Corp", "tier": "professional"})
    await engine.add_customer({"name": "Globex Inc", "tier": "enterprise"})
    await engine.add_customer({"name": "Wayne Enterprises", "tier": "starter"})
    
    # Process billing
    await engine.process_billing_cycle()
    
    # Generate performance bonus
    perf_metrics = {"revenue_increase": 50000}
    bonus = await engine.generate_performance_bonus("cust_1", perf_metrics)
    print(f"Performance bonus: ${bonus}")
    
    # Calculate white label revenue
    wl_revenue = await engine.calculate_white_label_licensing_revenue(3)
    print(f"White label revenue: ${wl_revenue}")
    
    # Get dashboard
    dashboard = await engine.get_monetization_dashboard()
    print("\nMonetization Dashboard:")
    print(f"MRR: ${dashboard['customer_metrics']['mrr']}")
    print(f"Total Customers: {dashboard['customer_metrics']['total_customers']}")
    print(f"Subscription Breakdown: {dashboard['subscription_breakdown']}")
    
    return engine


if __name__ == "__main__":
    # Run test
    asyncio.run(test_monetization_engine())