import boto3
import json
import time
import logging
from datetime import datetime, timedelta
from typing import Dict, List, Optional, Any, Tuple
from dataclasses import dataclass, asdict
from enum import Enum
import threading
import uuid
from decimal import Decimal

class BusinessCriticality(Enum):
    MISSION_CRITICAL = "mission_critical"
    BUSINESS_CRITICAL = "business_critical"
    IMPORTANT = "important"
    STANDARD = "standard"
    LOW_PRIORITY = "low_priority"

class DataClassification(Enum):
    HIGHLY_SENSITIVE = "highly_sensitive"
    SENSITIVE = "sensitive"
    INTERNAL = "internal"
    PUBLIC = "public"

class ComplianceFramework(Enum):
    SOX = "sox"
    HIPAA = "hipaa"
    PCI_DSS = "pci_dss"
    GDPR = "gdpr"
    SOC2 = "soc2"
    ISO27001 = "iso27001"

@dataclass
class RecoveryObjective:
    workload_id: str
    workload_name: str
    business_criticality: BusinessCriticality
    data_classification: DataClassification
    rto_minutes: int
    rpo_minutes: int
    compliance_frameworks: List[ComplianceFramework]
    business_justification: str
    financial_impact_per_hour: Decimal
    regulatory_requirements: List[str]
    dependencies: List[str]

@dataclass
class BusinessImpactAssessment:
    assessment_id: str
    workload_id: str
    assessment_date: datetime
    revenue_impact_per_hour: Decimal
    operational_impact_per_hour: Decimal
    reputation_impact_score: int  # 1-10 scale
    customer_impact_score: int    # 1-10 scale
    regulatory_penalties: Decimal
    recovery_cost_estimate: Decimal
    total_impact_per_hour: Decimal

@dataclass
class RTOAnalysis:
    workload_id: str
    current_rto_minutes: int
    target_rto_minutes: int
    gap_analysis: str
    improvement_recommendations: List[str]
    cost_to_achieve_target: Decimal
    technology_requirements: List[str]

class RecoveryObjectiveSystem:
    def __init__(self, region: str = 'us-east-1'):
        self.region = region
        
        # AWS clients
        self.cloudwatch = boto3.client('cloudwatch', region_name=region)
        self.s3 = boto3.client('s3', region_name=region)
        self.dynamodb = boto3.resource('dynamodb', region_name=region)
        
        # Configure logging
        logging.basicConfig(
            level=logging.INFO,
            format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
        )
        self.logger = logging.getLogger(__name__)
        
        # Recovery objectives management
        self.recovery_objectives: Dict[str, RecoveryObjective] = {}
        self.impact_assessments: Dict[str, BusinessImpactAssessment] = {}
        self.rto_analyses: Dict[str, RTOAnalysis] = {}
        
        # Compliance requirements mapping
        self.compliance_requirements = {
            ComplianceFramework.SOX: {
                'max_rto_hours': 24,
                'max_rpo_hours': 4,
                'documentation_required': True,
                'testing_frequency_months': 6
            },
            ComplianceFramework.HIPAA: {
                'max_rto_hours': 72,
                'max_rpo_hours': 24,
                'documentation_required': True,
                'testing_frequency_months': 12
            },
            ComplianceFramework.PCI_DSS: {
                'max_rto_hours': 4,
                'max_rpo_hours': 1,
                'documentation_required': True,
                'testing_frequency_months': 6
            }
        }
        
        # Thread safety
        self.objectives_lock = threading.Lock()

    def conduct_business_impact_analysis(self, workload_config: Dict[str, Any]) -> str:
        """Conduct business impact analysis for a workload"""
        try:
            assessment_id = f"bia-{uuid.uuid4().hex[:8]}"
            workload_id = workload_config['workload_id']
            
            # Calculate revenue impact
            revenue_impact = self._calculate_revenue_impact(workload_config)
            
            # Calculate operational impact
            operational_impact = self._calculate_operational_impact(workload_config)
            
            # Assess reputation and customer impact
            reputation_score = self._assess_reputation_impact(workload_config)
            customer_score = self._assess_customer_impact(workload_config)
            
            # Calculate regulatory penalties
            regulatory_penalties = self._calculate_regulatory_penalties(workload_config)
            
            # Estimate recovery costs
            recovery_cost = self._estimate_recovery_costs(workload_config)
            
            # Calculate total impact
            total_impact = revenue_impact + operational_impact + regulatory_penalties
            
            assessment = BusinessImpactAssessment(
                assessment_id=assessment_id,
                workload_id=workload_id,
                assessment_date=datetime.utcnow(),
                revenue_impact_per_hour=revenue_impact,
                operational_impact_per_hour=operational_impact,
                reputation_impact_score=reputation_score,
                customer_impact_score=customer_score,
                regulatory_penalties=regulatory_penalties,
                recovery_cost_estimate=recovery_cost,
                total_impact_per_hour=total_impact
            )
            
            with self.objectives_lock:
                self.impact_assessments[assessment_id] = assessment
            
            self.logger.info(f"Completed business impact analysis: {assessment_id}")
            return assessment_id
            
        except Exception as e:
            self.logger.error(f"Business impact analysis failed: {str(e)}")
            return ""

    def define_recovery_objectives(self, workload_config: Dict[str, Any], 
                                 impact_assessment_id: str) -> str:
        """Define RTO and RPO objectives based on business impact analysis"""
        try:
            workload_id = workload_config['workload_id']
            
            # Get impact assessment
            assessment = self.impact_assessments.get(impact_assessment_id)
            if not assessment:
                raise ValueError(f"Impact assessment {impact_assessment_id} not found")
            
            # Determine business criticality
            criticality = self._determine_business_criticality(assessment)
            
            # Calculate RTO based on business impact
            rto_minutes = self._calculate_rto_requirement(assessment, criticality)
            
            # Calculate RPO based on data criticality
            rpo_minutes = self._calculate_rpo_requirement(workload_config, criticality)
            
            # Apply compliance constraints
            compliance_frameworks = [ComplianceFramework(f) for f in workload_config.get('compliance_frameworks', [])]
            rto_minutes, rpo_minutes = self._apply_compliance_constraints(
                rto_minutes, rpo_minutes, compliance_frameworks
            )
            
            # Create recovery objective
            objective = RecoveryObjective(
                workload_id=workload_id,
                workload_name=workload_config['workload_name'],
                business_criticality=criticality,
                data_classification=DataClassification(workload_config.get('data_classification', 'internal')),
                rto_minutes=rto_minutes,
                rpo_minutes=rpo_minutes,
                compliance_frameworks=compliance_frameworks,
                business_justification=self._generate_business_justification(assessment, criticality),
                financial_impact_per_hour=assessment.total_impact_per_hour,
                regulatory_requirements=workload_config.get('regulatory_requirements', []),
                dependencies=workload_config.get('dependencies', [])
            )
            
            with self.objectives_lock:
                self.recovery_objectives[workload_id] = objective
            
            # Store in DynamoDB for persistence
            self._store_recovery_objective(objective)
            
            self.logger.info(f"Defined recovery objectives for {workload_id}: RTO={rto_minutes}min, RPO={rpo_minutes}min")
            return workload_id
            
        except Exception as e:
            self.logger.error(f"Recovery objectives definition failed: {str(e)}")
            return ""

    def analyze_rto_gap(self, workload_id: str, current_capabilities: Dict[str, Any]) -> str:
        """Analyze gap between current and target RTO"""
        try:
            objective = self.recovery_objectives.get(workload_id)
            if not objective:
                raise ValueError(f"Recovery objective for {workload_id} not found")
            
            # Assess current RTO capability
            current_rto = self._assess_current_rto(workload_id, current_capabilities)
            
            # Calculate gap
            rto_gap_minutes = current_rto - objective.rto_minutes
            
            # Generate improvement recommendations
            recommendations = self._generate_rto_improvements(objective, current_rto, current_capabilities)
            
            # Estimate cost to achieve target
            cost_estimate = self._estimate_rto_improvement_cost(objective, current_rto, recommendations)
            
            # Identify technology requirements
            tech_requirements = self._identify_technology_requirements(objective, current_capabilities)
            
            analysis = RTOAnalysis(
                workload_id=workload_id,
                current_rto_minutes=current_rto,
                target_rto_minutes=objective.rto_minutes,
                gap_analysis=f"Current RTO exceeds target by {rto_gap_minutes} minutes" if rto_gap_minutes > 0 else "RTO target met",
                improvement_recommendations=recommendations,
                cost_to_achieve_target=cost_estimate,
                technology_requirements=tech_requirements
            )
            
            with self.objectives_lock:
                self.rto_analyses[workload_id] = analysis
            
            self.logger.info(f"Completed RTO gap analysis for {workload_id}")
            return workload_id
            
        except Exception as e:
            self.logger.error(f"RTO gap analysis failed: {str(e)}")
            return ""

    def _calculate_revenue_impact(self, workload_config: Dict[str, Any]) -> Decimal:
        """Calculate revenue impact per hour of downtime"""
        try:
            # Base revenue impact calculation
            annual_revenue = Decimal(str(workload_config.get('annual_revenue', 0)))
            revenue_dependency = Decimal(str(workload_config.get('revenue_dependency_percentage', 0))) / 100
            
            # Calculate hourly revenue impact
            hours_per_year = Decimal('8760')  # 24 * 365
            hourly_impact = (annual_revenue * revenue_dependency) / hours_per_year
            
            # Apply peak hour multiplier if applicable
            peak_multiplier = Decimal(str(workload_config.get('peak_hour_multiplier', 1.0)))
            
            return hourly_impact * peak_multiplier
            
        except Exception as e:
            self.logger.error(f"Revenue impact calculation failed: {str(e)}")
            return Decimal('0')

    def _calculate_operational_impact(self, workload_config: Dict[str, Any]) -> Decimal:
        """Calculate operational impact per hour of downtime"""
        try:
            # Calculate based on affected employees and their hourly cost
            affected_employees = workload_config.get('affected_employees', 0)
            average_hourly_cost = Decimal(str(workload_config.get('average_employee_hourly_cost', 50)))
            
            # Calculate productivity loss
            productivity_loss_percentage = Decimal(str(workload_config.get('productivity_loss_percentage', 80))) / 100
            
            operational_impact = Decimal(str(affected_employees)) * average_hourly_cost * productivity_loss_percentage
            
            # Add additional operational costs
            additional_costs = Decimal(str(workload_config.get('additional_operational_costs_per_hour', 0)))
            
            return operational_impact + additional_costs
            
        except Exception as e:
            self.logger.error(f"Operational impact calculation failed: {str(e)}")
            return Decimal('0')

    def _assess_reputation_impact(self, workload_config: Dict[str, Any]) -> int:
        """Assess reputation impact on a scale of 1-10"""
        try:
            # Factors affecting reputation impact
            customer_facing = workload_config.get('customer_facing', False)
            media_visibility = workload_config.get('media_visibility', 'low')
            brand_importance = workload_config.get('brand_importance', 'medium')
            
            score = 1
            
            if customer_facing:
                score += 3
            
            if media_visibility == 'high':
                score += 3
            elif media_visibility == 'medium':
                score += 2
            
            if brand_importance == 'high':
                score += 2
            elif brand_importance == 'medium':
                score += 1
            
            return min(score, 10)
            
        except Exception as e:
            self.logger.error(f"Reputation impact assessment failed: {str(e)}")
            return 5  # Default medium impact

    def _assess_customer_impact(self, workload_config: Dict[str, Any]) -> int:
        """Assess customer impact on a scale of 1-10"""
        try:
            customer_count = workload_config.get('affected_customers', 0)
            service_criticality = workload_config.get('service_criticality', 'medium')
            
            score = 1
            
            # Scale based on customer count
            if customer_count > 100000:
                score += 4
            elif customer_count > 10000:
                score += 3
            elif customer_count > 1000:
                score += 2
            elif customer_count > 100:
                score += 1
            
            # Adjust for service criticality
            if service_criticality == 'high':
                score += 3
            elif service_criticality == 'medium':
                score += 2
            
            return min(score, 10)
            
        except Exception as e:
            self.logger.error(f"Customer impact assessment failed: {str(e)}")
            return 5  # Default medium impact

    def _calculate_regulatory_penalties(self, workload_config: Dict[str, Any]) -> Decimal:
        """Calculate potential regulatory penalties"""
        try:
            penalties = Decimal('0')
            compliance_frameworks = workload_config.get('compliance_frameworks', [])
            
            # Estimate penalties based on compliance frameworks
            penalty_estimates = {
                'sox': Decimal('100000'),      # SOX penalties
                'hipaa': Decimal('50000'),     # HIPAA penalties
                'pci_dss': Decimal('25000'),   # PCI DSS penalties
                'gdpr': Decimal('200000')      # GDPR penalties
            }
            
            for framework in compliance_frameworks:
                penalties += penalty_estimates.get(framework, Decimal('0'))
            
            return penalties
            
        except Exception as e:
            self.logger.error(f"Regulatory penalties calculation failed: {str(e)}")
            return Decimal('0')

    def _estimate_recovery_costs(self, workload_config: Dict[str, Any]) -> Decimal:
        """Estimate costs associated with recovery"""
        try:
            # Base recovery costs
            infrastructure_cost = Decimal(str(workload_config.get('recovery_infrastructure_cost', 10000)))
            personnel_cost = Decimal(str(workload_config.get('recovery_personnel_cost', 5000)))
            vendor_cost = Decimal(str(workload_config.get('recovery_vendor_cost', 2000)))
            
            return infrastructure_cost + personnel_cost + vendor_cost
            
        except Exception as e:
            self.logger.error(f"Recovery cost estimation failed: {str(e)}")
            return Decimal('10000')  # Default estimate

    def _determine_business_criticality(self, assessment: BusinessImpactAssessment) -> BusinessCriticality:
        """Determine business criticality based on impact assessment"""
        try:
            total_impact = assessment.total_impact_per_hour
            reputation_score = assessment.reputation_impact_score
            customer_score = assessment.customer_impact_score
            
            # Determine criticality based on multiple factors
            if total_impact > 100000 or reputation_score >= 9 or customer_score >= 9:
                return BusinessCriticality.MISSION_CRITICAL
            elif total_impact > 50000 or reputation_score >= 7 or customer_score >= 7:
                return BusinessCriticality.BUSINESS_CRITICAL
            elif total_impact > 10000 or reputation_score >= 5 or customer_score >= 5:
                return BusinessCriticality.IMPORTANT
            elif total_impact > 1000:
                return BusinessCriticality.STANDARD
            else:
                return BusinessCriticality.LOW_PRIORITY
                
        except Exception as e:
            self.logger.error(f"Business criticality determination failed: {str(e)}")
            return BusinessCriticality.STANDARD

    def _calculate_rto_requirement(self, assessment: BusinessImpactAssessment, 
                                 criticality: BusinessCriticality) -> int:
        """Calculate RTO requirement based on business impact"""
        try:
            # Base RTO by criticality level
            base_rto_minutes = {
                BusinessCriticality.MISSION_CRITICAL: 15,
                BusinessCriticality.BUSINESS_CRITICAL: 60,
                BusinessCriticality.IMPORTANT: 240,
                BusinessCriticality.STANDARD: 480,
                BusinessCriticality.LOW_PRIORITY: 1440
            }
            
            base_rto = base_rto_minutes[criticality]
            
            # Adjust based on financial impact
            if assessment.total_impact_per_hour > 200000:
                base_rto = min(base_rto, 15)  # Maximum 15 minutes for very high impact
            elif assessment.total_impact_per_hour > 100000:
                base_rto = min(base_rto, 30)  # Maximum 30 minutes for high impact
            
            return base_rto
            
        except Exception as e:
            self.logger.error(f"RTO calculation failed: {str(e)}")
            return 240  # Default 4 hours

    def _calculate_rpo_requirement(self, workload_config: Dict[str, Any], 
                                 criticality: BusinessCriticality) -> int:
        """Calculate RPO requirement based on data criticality"""
        try:
            # Base RPO by criticality level
            base_rpo_minutes = {
                BusinessCriticality.MISSION_CRITICAL: 5,
                BusinessCriticality.BUSINESS_CRITICAL: 15,
                BusinessCriticality.IMPORTANT: 60,
                BusinessCriticality.STANDARD: 240,
                BusinessCriticality.LOW_PRIORITY: 1440
            }
            
            base_rpo = base_rpo_minutes[criticality]
            
            # Adjust based on data classification
            data_classification = workload_config.get('data_classification', 'internal')
            if data_classification == 'highly_sensitive':
                base_rpo = min(base_rpo, 15)  # Maximum 15 minutes for highly sensitive data
            elif data_classification == 'sensitive':
                base_rpo = min(base_rpo, 60)  # Maximum 1 hour for sensitive data
            
            return base_rpo
            
        except Exception as e:
            self.logger.error(f"RPO calculation failed: {str(e)}")
            return 60  # Default 1 hour

    def _apply_compliance_constraints(self, rto_minutes: int, rpo_minutes: int, 
                                    frameworks: List[ComplianceFramework]) -> Tuple[int, int]:
        """Apply compliance framework constraints to RTO/RPO"""
        try:
            for framework in frameworks:
                requirements = self.compliance_requirements.get(framework)
                if requirements:
                    max_rto_minutes = requirements['max_rto_hours'] * 60
                    max_rpo_minutes = requirements['max_rpo_hours'] * 60
                    
                    rto_minutes = min(rto_minutes, max_rto_minutes)
                    rpo_minutes = min(rpo_minutes, max_rpo_minutes)
            
            return rto_minutes, rpo_minutes
            
        except Exception as e:
            self.logger.error(f"Compliance constraints application failed: {str(e)}")
            return rto_minutes, rpo_minutes

    def _generate_business_justification(self, assessment: BusinessImpactAssessment, 
                                       criticality: BusinessCriticality) -> str:
        """Generate business justification for recovery objectives"""
        try:
            justification = f"""
Business Justification for Recovery Objectives:

1. Financial Impact: ${assessment.total_impact_per_hour:,.2f} per hour of downtime
   - Revenue Impact: ${assessment.revenue_impact_per_hour:,.2f}/hour
   - Operational Impact: ${assessment.operational_impact_per_hour:,.2f}/hour
   - Regulatory Penalties: ${assessment.regulatory_penalties:,.2f}

2. Business Criticality: {criticality.value.replace('_', ' ').title()}
   - Reputation Impact Score: {assessment.reputation_impact_score}/10
   - Customer Impact Score: {assessment.customer_impact_score}/10

3. Recovery Cost Estimate: ${assessment.recovery_cost_estimate:,.2f}

4. Risk Assessment: Based on the financial impact and business criticality, 
   the defined recovery objectives are necessary to minimize business risk 
   and maintain operational continuity.
"""
            return justification.strip()
            
        except Exception as e:
            self.logger.error(f"Business justification generation failed: {str(e)}")
            return "Business justification not available"

    def _store_recovery_objective(self, objective: RecoveryObjective) -> None:
        """Store recovery objective in DynamoDB"""
        try:
            # In a real implementation, store in DynamoDB
            # table = self.dynamodb.Table('RecoveryObjectives')
            # table.put_item(Item=asdict(objective))
            
            self.logger.info(f"Stored recovery objective for {objective.workload_id}")
            
        except Exception as e:
            self.logger.error(f"Recovery objective storage failed: {str(e)}")

    def get_recovery_objectives_summary(self) -> Dict[str, Any]:
        """Get summary of all recovery objectives"""
        try:
            summary = {
                'total_workloads': len(self.recovery_objectives),
                'by_criticality': {},
                'average_rto_minutes': 0,
                'average_rpo_minutes': 0,
                'total_financial_impact_per_hour': Decimal('0'),
                'compliance_frameworks': set()
            }
            
            if not self.recovery_objectives:
                return summary
            
            # Calculate statistics
            rto_sum = 0
            rpo_sum = 0
            
            for objective in self.recovery_objectives.values():
                # Count by criticality
                criticality = objective.business_criticality.value
                summary['by_criticality'][criticality] = summary['by_criticality'].get(criticality, 0) + 1
                
                # Sum for averages
                rto_sum += objective.rto_minutes
                rpo_sum += objective.rpo_minutes
                
                # Sum financial impact
                summary['total_financial_impact_per_hour'] += objective.financial_impact_per_hour
                
                # Collect compliance frameworks
                for framework in objective.compliance_frameworks:
                    summary['compliance_frameworks'].add(framework.value)
            
            # Calculate averages
            count = len(self.recovery_objectives)
            summary['average_rto_minutes'] = rto_sum / count
            summary['average_rpo_minutes'] = rpo_sum / count
            summary['compliance_frameworks'] = list(summary['compliance_frameworks'])
            
            return summary
            
        except Exception as e:
            self.logger.error(f"Recovery objectives summary failed: {str(e)}")
            return {}

# Example usage
def main():
    # Initialize recovery objective system
    recovery_system = RecoveryObjectiveSystem(region='us-east-1')
    
    # Define workload configuration
    workload_config = {
        'workload_id': 'ecommerce-platform',
        'workload_name': 'E-commerce Platform',
        'annual_revenue': 50000000,  # $50M annual revenue
        'revenue_dependency_percentage': 80,  # 80% revenue dependency
        'peak_hour_multiplier': 2.0,
        'affected_employees': 200,
        'average_employee_hourly_cost': 75,
        'productivity_loss_percentage': 90,
        'additional_operational_costs_per_hour': 5000,
        'customer_facing': True,
        'affected_customers': 500000,
        'media_visibility': 'high',
        'brand_importance': 'high',
        'service_criticality': 'high',
        'data_classification': 'sensitive',
        'compliance_frameworks': ['pci_dss', 'sox'],
        'regulatory_requirements': [
            'PCI DSS Level 1 compliance',
            'SOX financial reporting requirements'
        ],
        'dependencies': ['payment-gateway', 'inventory-system', 'user-database'],
        'recovery_infrastructure_cost': 25000,
        'recovery_personnel_cost': 15000,
        'recovery_vendor_cost': 10000
    }
    
    print("Conducting business impact analysis...")
    assessment_id = recovery_system.conduct_business_impact_analysis(workload_config)
    
    if assessment_id:
        print(f"Business impact analysis completed: {assessment_id}")
        
        # Define recovery objectives
        print("Defining recovery objectives...")
        workload_id = recovery_system.define_recovery_objectives(workload_config, assessment_id)
        
        if workload_id:
            print(f"Recovery objectives defined for: {workload_id}")
            
            # Get the defined objectives
            objective = recovery_system.recovery_objectives[workload_id]
            print(f"RTO: {objective.rto_minutes} minutes")
            print(f"RPO: {objective.rpo_minutes} minutes")
            print(f"Business Criticality: {objective.business_criticality.value}")
            print(f"Financial Impact: ${objective.financial_impact_per_hour}/hour")
            
            # Analyze RTO gap
            current_capabilities = {
                'backup_frequency_minutes': 60,
                'restore_time_minutes': 180,
                'failover_time_minutes': 300,
                'current_architecture': 'single_region'
            }
            
            print("\nAnalyzing RTO gap...")
            analysis_id = recovery_system.analyze_rto_gap(workload_id, current_capabilities)
            
            if analysis_id:
                analysis = recovery_system.rto_analyses[workload_id]
                print(f"Current RTO: {analysis.current_rto_minutes} minutes")
                print(f"Target RTO: {analysis.target_rto_minutes} minutes")
                print(f"Gap Analysis: {analysis.gap_analysis}")
                print(f"Improvement Cost: ${analysis.cost_to_achieve_target}")
    
    # Get summary
    summary = recovery_system.get_recovery_objectives_summary()
    print(f"\nRecovery Objectives Summary: {json.dumps(summary, indent=2, default=str)}")

if __name__ == "__main__":
    main()