#!/usr/bin/env python3
"""
🚀 VPC Remediation Planning Engine - Phase 3 Implementation
Enterprise-grade PDCA remediation planning with comprehensive proposal generation

Author: CloudOps-Runbooks Engineering Team
Epic: AWS-25 VPC Infrastructure Cleanup
Framework: PDCA remediation methodology with enterprise safety controls
"""

import json
from dataclasses import dataclass, asdict
from datetime import datetime, timedelta
from typing import Dict, List, Optional, Tuple
from enum import Enum
from decimal import Decimal

from rich.table import Table
from rich.panel import Panel
from rich.tree import Tree
from rich.progress import Progress, SpinnerColumn, TextColumn
import yaml
from runbooks.common.rich_utils import console


class RiskLevel(Enum):
    LOW = "LOW"
    MEDIUM = "MEDIUM"
    MEDIUM_HIGH = "MEDIUM-HIGH"
    HIGH = "HIGH"
    CRITICAL = "CRITICAL"


class DecisionType(Enum):
    DELETE = "DELETE"
    OPTIMIZE = "OPTIMIZE"
    REPLACE = "REPLACE"
    KEEP = "KEEP"
    ANALYZE = "ANALYZE"


@dataclass
class VPCRemediationProposal:
    """Comprehensive VPC remediation proposal with safety assessment"""

    vpc_id: str
    name: str
    region: str
    account: str
    decision: DecisionType
    risk_level: RiskLevel

    # Financial Impact
    current_annual_cost: Decimal
    projected_savings: Decimal
    roi_percentage: float

    # Technical Analysis
    enis_count: int
    cloudtrail_events: int
    last_activity: datetime
    dependency_blocking_factors: List[str]

    # Implementation Details
    implementation_phase: int
    estimated_duration: str
    rollback_complexity: str
    stakeholder_approvals: List[str]

    # Safety Controls
    eni_gate_validation: bool
    dependency_analysis_complete: bool
    compliance_impact: str
    business_continuity_risk: str


@dataclass
class RemediationRoadmap:
    """Four-phase implementation roadmap"""

    total_vpcs: int
    total_savings: Decimal
    total_duration: str

    phase_1_immediate: List[VPCRemediationProposal]
    phase_2_infrastructure: List[VPCRemediationProposal]
    phase_3_advanced: List[VPCRemediationProposal]
    phase_4_control_plane: List[VPCRemediationProposal]

    safety_assessment: Dict[str, any]
    compliance_validation: Dict[str, str]
    raci_matrix: Dict[str, List[str]]


class VPCRemediationPlanner:
    """
    Enterprise VPC remediation planning engine with comprehensive proposal generation
    Implements three-bucket methodology with four-phase implementation approach
    """

    def __init__(self, test_data_path: str = None):
        """Initialize remediation planner with production test data"""
        self.console = console
        self.test_data_path = test_data_path or ".claude/config/environment-data/vpc-test-data-production.yaml"
        self.vpc_data = self._load_production_data()

        # Safety thresholds
        self.eni_safety_threshold = 10
        self.cloudtrail_activity_threshold = 30  # days
        self.cost_significance_threshold = Decimal("1000")  # annual

    def _load_production_data(self) -> Dict:
        """Load and validate production VPC test data"""
        try:
            with open(self.test_data_path, "r") as f:
                data = yaml.safe_load(f)

            console.print(f"✅ Loaded production data: {data['business_metrics']['total_vpcs']} VPCs")
            return data
        except Exception as e:
            console.print(f"❌ Error loading test data: {e}")
            return self._generate_fallback_data()

    def _generate_fallback_data(self) -> Dict:
        """Generate minimal fallback data if production data unavailable"""
        return {"vpc_test_data": {"active_vpcs": []}, "business_metrics": {"total_vpcs": 0, "annual_savings": 0}}

    def analyze_vpc_for_remediation(self, vpc_data: Dict) -> VPCRemediationProposal:
        """
        Comprehensive VPC analysis for remediation planning
        Implements enterprise safety assessment with dependency validation
        """

        # Parse VPC data
        vpc_id = vpc_data.get("vpc_id", "unknown")
        name = vpc_data.get("name", "unnamed")
        region = vpc_data.get("region", "unknown")
        account = vpc_data.get("account", "unknown")
        enis = vpc_data.get("enis", 0)
        monthly_cost = Decimal(str(vpc_data.get("cost_monthly", 0)))
        annual_cost = monthly_cost * 12

        # Activity analysis
        last_activity_str = vpc_data.get("last_activity", "2024-01-01")
        last_activity = datetime.strptime(last_activity_str, "%Y-%m-%d")
        days_since_activity = (datetime.now() - last_activity).days
        cloudtrail_events = vpc_data.get("cloudtrail_events", 0)

        # Decision logic based on comprehensive analysis
        decision, risk_level = self._determine_remediation_decision(
            enis, days_since_activity, cloudtrail_events, annual_cost, name
        )

        # Calculate projected savings
        projected_savings = self._calculate_projected_savings(decision, annual_cost)
        roi_percentage = float(projected_savings / annual_cost * 100) if annual_cost > 0 else 0

        # Dependency analysis
        blocking_factors = self._analyze_blocking_factors(enis, cloudtrail_events, name)

        # Implementation planning
        phase, duration, rollback_complexity = self._plan_implementation(decision, risk_level, enis)

        # Stakeholder analysis
        approvals = self._determine_required_approvals(risk_level, annual_cost)

        # Safety validations
        eni_gate_valid = enis <= self.eni_safety_threshold
        dependency_complete = len(blocking_factors) == 0 or decision == DecisionType.KEEP

        # Compliance assessment
        compliance_impact = self._assess_compliance_impact(name, decision)
        business_risk = self._assess_business_continuity_risk(enis, cloudtrail_events)

        return VPCRemediationProposal(
            vpc_id=vpc_id,
            name=name,
            region=region,
            account=account,
            decision=decision,
            risk_level=risk_level,
            current_annual_cost=annual_cost,
            projected_savings=projected_savings,
            roi_percentage=roi_percentage,
            enis_count=enis,
            cloudtrail_events=cloudtrail_events,
            last_activity=last_activity,
            dependency_blocking_factors=blocking_factors,
            implementation_phase=phase,
            estimated_duration=duration,
            rollback_complexity=rollback_complexity,
            stakeholder_approvals=approvals,
            eni_gate_validation=eni_gate_valid,
            dependency_analysis_complete=dependency_complete,
            compliance_impact=compliance_impact,
            business_continuity_risk=business_risk,
        )

    def _determine_remediation_decision(
        self, enis: int, days_inactive: int, cloudtrail_events: int, annual_cost: Decimal, name: str
    ) -> Tuple[DecisionType, RiskLevel]:
        """
        Comprehensive decision logic for VPC remediation
        Implements enterprise safety decision matrix
        """

        # Default VPC CIS compliance check
        if "default" in name.lower():
            if enis == 0:
                return DecisionType.DELETE, RiskLevel.CRITICAL
            else:
                return DecisionType.REPLACE, RiskLevel.CRITICAL

        # Zero ENI immediate cleanup candidates
        if enis == 0:
            if days_inactive > 60:
                return DecisionType.DELETE, RiskLevel.LOW
            else:
                return DecisionType.ANALYZE, RiskLevel.MEDIUM

        # High ENI count requires careful analysis
        if enis > 15:
            return DecisionType.OPTIMIZE, RiskLevel.HIGH

        # Activity-based decisions
        if days_inactive > 90 and cloudtrail_events < 100:
            if enis <= 3:
                return DecisionType.DELETE, RiskLevel.MEDIUM
            else:
                return DecisionType.OPTIMIZE, RiskLevel.MEDIUM_HIGH

        # Cost-based decisions
        if annual_cost > Decimal("2000"):
            if enis <= 5:
                return DecisionType.OPTIMIZE, RiskLevel.MEDIUM
            else:
                return DecisionType.KEEP, RiskLevel.LOW

        # Default to analysis for uncertain cases
        return DecisionType.ANALYZE, RiskLevel.MEDIUM

    def _calculate_projected_savings(self, decision: DecisionType, annual_cost: Decimal) -> Decimal:
        """Calculate projected annual savings based on remediation decision"""

        savings_multipliers = {
            DecisionType.DELETE: Decimal("1.0"),  # 100% savings
            DecisionType.REPLACE: Decimal("0.8"),  # 80% savings (new VPC costs)
            DecisionType.OPTIMIZE: Decimal("0.4"),  # 40% savings (optimization)
            DecisionType.ANALYZE: Decimal("0.2"),  # 20% potential savings
            DecisionType.KEEP: Decimal("0.0"),  # No savings
        }

        return annual_cost * savings_multipliers.get(decision, Decimal("0.0"))

    def _analyze_blocking_factors(self, enis: int, cloudtrail_events: int, name: str) -> List[str]:
        """Identify potential blocking factors for remediation"""

        blocking_factors = []

        if enis > 10:
            blocking_factors.append(f"High ENI count ({enis}) requires detailed dependency analysis")

        if cloudtrail_events > 1000:
            blocking_factors.append(f"High activity ({cloudtrail_events} events) indicates active usage")

        if any(keyword in name.lower() for keyword in ["prod", "production", "critical"]):
            blocking_factors.append("Production environment requires careful impact assessment")

        if any(keyword in name.lower() for keyword in ["shared", "common", "hub"]):
            blocking_factors.append("Shared infrastructure requires cross-team coordination")

        return blocking_factors

    def _plan_implementation(self, decision: DecisionType, risk_level: RiskLevel, enis: int) -> Tuple[int, str, str]:
        """Plan implementation phase, duration, and rollback complexity"""

        # Phase assignment based on risk and complexity
        if risk_level == RiskLevel.LOW and enis == 0:
            phase = 1
            duration = "1-2 days"
            rollback = "Simple"
        elif risk_level in [RiskLevel.MEDIUM, RiskLevel.MEDIUM_HIGH]:
            phase = 2 if enis <= 5 else 3
            duration = "1-2 weeks" if enis <= 5 else "2-4 weeks"
            rollback = "Moderate" if enis <= 5 else "Complex"
        elif risk_level in [RiskLevel.HIGH, RiskLevel.CRITICAL]:
            phase = 4
            duration = "4-8 weeks"
            rollback = "Complex"
        else:
            phase = 2
            duration = "1-2 weeks"
            rollback = "Moderate"

        return phase, duration, rollback

    def _determine_required_approvals(self, risk_level: RiskLevel, annual_cost: Decimal) -> List[str]:
        """Determine required stakeholder approvals based on risk and cost"""

        approvals = ["CloudOps Team"]

        if risk_level in [RiskLevel.HIGH, RiskLevel.CRITICAL]:
            approvals.extend(["Infrastructure Manager", "Security Team"])

        if annual_cost > Decimal("2000"):
            approvals.append("FinOps Manager")

        if risk_level == RiskLevel.CRITICAL:
            approvals.extend(["CISO", "VP Engineering"])

        return approvals

    def _assess_compliance_impact(self, name: str, decision: DecisionType) -> str:
        """Assess compliance framework impact"""

        if "default" in name.lower():
            return "CIS 2.1 compliance improvement (removes violation)"
        elif decision == DecisionType.DELETE:
            return "Reduces attack surface, improves security posture"
        elif decision == DecisionType.OPTIMIZE:
            return "Maintains compliance, improves cost efficiency"
        else:
            return "No compliance impact"

    def _assess_business_continuity_risk(self, enis: int, cloudtrail_events: int) -> str:
        """Assess business continuity risk level"""

        if enis == 0 and cloudtrail_events < 50:
            return "Minimal - no active workloads detected"
        elif enis <= 5 and cloudtrail_events < 500:
            return "Low - limited workload impact"
        elif enis <= 15 and cloudtrail_events < 1500:
            return "Medium - moderate workload coordination required"
        else:
            return "High - extensive workload analysis and coordination required"

    def generate_comprehensive_roadmap(self) -> RemediationRoadmap:
        """
        Generate comprehensive four-phase implementation roadmap
        Based on 27-VPC production dataset with enterprise safety controls
        """

        console.print("[bold blue]🚀 Generating Comprehensive Remediation Roadmap...[/bold blue]")

        with Progress(
            SpinnerColumn(), TextColumn("[progress.description]{task.description}"), console=console
        ) as progress:
            task = progress.add_task("Analyzing VPC remediation opportunities...", total=None)

            # Analyze all active VPCs
            proposals = []
            for vpc_data in self.vpc_data.get("vpc_test_data", {}).get("active_vpcs", []):
                proposal = self.analyze_vpc_for_remediation(vpc_data)
                proposals.append(proposal)

            progress.update(task, description="Organizing implementation phases...")

            # Organize by implementation phases
            phase_1 = [p for p in proposals if p.implementation_phase == 1]
            phase_2 = [p for p in proposals if p.implementation_phase == 2]
            phase_3 = [p for p in proposals if p.implementation_phase == 3]
            phase_4 = [p for p in proposals if p.implementation_phase == 4]

            # Calculate totals
            total_savings = sum(p.projected_savings for p in proposals)
            total_vpcs = len(proposals)

            progress.update(task, description="Generating safety assessment...")

            # Safety assessment
            safety_assessment = self._generate_safety_assessment(proposals)

            # Compliance validation
            compliance_validation = self._generate_compliance_validation(proposals)

            # RACI matrix
            raci_matrix = self._generate_raci_matrix()

            progress.update(task, description="Finalizing roadmap...")

        console.print("✅ Roadmap generation complete")

        return RemediationRoadmap(
            total_vpcs=total_vpcs,
            total_savings=total_savings,
            total_duration="3-6 months",
            phase_1_immediate=phase_1,
            phase_2_infrastructure=phase_2,
            phase_3_advanced=phase_3,
            phase_4_control_plane=phase_4,
            safety_assessment=safety_assessment,
            compliance_validation=compliance_validation,
            raci_matrix=raci_matrix,
        )

    def _generate_safety_assessment(self, proposals: List[VPCRemediationProposal]) -> Dict[str, any]:
        """Generate comprehensive safety assessment"""

        total_enis = sum(p.enis_count for p in proposals)
        high_risk_count = len([p for p in proposals if p.risk_level in [RiskLevel.HIGH, RiskLevel.CRITICAL]])
        delete_candidates = len([p for p in proposals if p.decision == DecisionType.DELETE])

        return {
            "total_enis_affected": total_enis,
            "high_risk_vpcs": high_risk_count,
            "immediate_delete_candidates": delete_candidates,
            "eni_gate_pass_rate": len([p for p in proposals if p.eni_gate_validation]) / len(proposals) * 100,
            "dependency_analysis_coverage": len([p for p in proposals if p.dependency_analysis_complete])
            / len(proposals)
            * 100,
            "overall_risk_assessment": "CONTROLLED" if high_risk_count <= 3 else "ELEVATED",
            "recommended_pilot_vpcs": min(3, delete_candidates),
            "coordination_complexity": "MEDIUM" if total_enis < 100 else "HIGH",
        }

    def _generate_compliance_validation(self, proposals: List[VPCRemediationProposal]) -> Dict[str, str]:
        """Generate compliance framework validation"""

        cis_violations = len([p for p in proposals if "default" in p.name.lower()])
        security_improvements = len([p for p in proposals if p.decision in [DecisionType.DELETE, DecisionType.REPLACE]])

        return {
            "cis_2_1_compliance": f"Resolves {cis_violations} default VPC violations",
            "aws_well_architected": "Improves cost optimization and security pillars",
            "enterprise_security": f"Reduces attack surface by {security_improvements} VPCs",
            "sox_compliance": "Improves financial controls through cost optimization",
            "gdpr_impact": "Minimal - no data processing impact identified",
            "overall_compliance_impact": "POSITIVE",
        }

    def _generate_raci_matrix(self) -> Dict[str, List[str]]:
        """Generate RACI matrix for stakeholder coordination"""

        return {
            "Responsible": ["CloudOps Team", "Network Engineering"],
            "Accountable": ["Infrastructure Manager", "VP Engineering"],
            "Consulted": ["Security Team", "Application Teams", "FinOps Team"],
            "Informed": ["Executive Leadership", "Compliance Team", "Audit Team"],
        }

    def export_proposals_to_json(self, roadmap: RemediationRoadmap, output_path: str):
        """Export comprehensive remediation proposals to JSON for integration"""

        def decimal_serializer(obj):
            if isinstance(obj, Decimal):
                return float(obj)
            elif isinstance(obj, datetime):
                return obj.isoformat()
            elif isinstance(obj, (DecisionType, RiskLevel)):
                return obj.value
            raise TypeError(f"Object of type {type(obj)} is not JSON serializable")

        roadmap_dict = asdict(roadmap)

        with open(output_path, "w") as f:
            json.dump(roadmap_dict, f, indent=2, default=decimal_serializer)

        console.print(f"✅ Remediation roadmap exported to {output_path}")

    def generate_executive_summary(self, roadmap: RemediationRoadmap) -> str:
        """Generate executive summary for stakeholder communication"""

        summary = f"""
# VPC Infrastructure Cleanup - Executive Summary

## Business Impact
- **Total VPCs Analyzed**: {roadmap.total_vpcs}
- **Projected Annual Savings**: ${roadmap.total_savings:,.2f}
- **Implementation Timeline**: {roadmap.total_duration}
- **ROI**: {(roadmap.total_savings / 10000) * 100:.1f}% (estimated)

## Risk Assessment
- **Overall Risk Level**: {roadmap.safety_assessment["overall_risk_assessment"]}
- **High-Risk VPCs**: {roadmap.safety_assessment["high_risk_vpcs"]}
- **Safety Gate Pass Rate**: {roadmap.safety_assessment["eni_gate_pass_rate"]:.1f}%

## Implementation Phases
- **Phase 1 - Immediate Wins**: {len(roadmap.phase_1_immediate)} VPCs (LOW risk)
- **Phase 2 - Infrastructure**: {len(roadmap.phase_2_infrastructure)} VPCs (MEDIUM risk)
- **Phase 3 - Advanced**: {len(roadmap.phase_3_advanced)} VPCs (MEDIUM-HIGH risk)
- **Phase 4 - Control Plane**: {len(roadmap.phase_4_control_plane)} VPCs (HIGH risk)

## Compliance Benefits
{roadmap.compliance_validation["cis_2_1_compliance"]}
{roadmap.compliance_validation["enterprise_security"]}

## Recommendation
Proceed with phased implementation starting with Phase 1 immediate wins.
Management approval required for Phase 4 high-risk operations.
        """

        return summary.strip()


def main():
    """Main execution for VPC remediation planning"""

    console.print(
        Panel.fit(
            "[bold blue]🚀 VPC Remediation Planning Engine[/bold blue]\n"
            "[cyan]Phase 3: Comprehensive Deployment Recommendations[/cyan]",
            title="CloudOps-Runbooks AWS-25",
        )
    )

    # Initialize planner
    planner = VPCRemediationPlanner()

    # Generate comprehensive roadmap
    roadmap = planner.generate_comprehensive_roadmap()

    # Display executive summary
    summary = planner.generate_executive_summary(roadmap)
    console.print(Panel(summary, title="Executive Summary", border_style="green"))

    # Export for integration
    output_path = "artifacts/vpc/remediation-roadmap.json"
    planner.export_proposals_to_json(roadmap, output_path)

    console.print(f"\n✅ [bold green]Phase 3 Remediation Planning Complete[/bold green]")
    console.print(f"📊 Roadmap exported to {output_path}")
    console.print(f"📋 Ready for executive review and Phase 4 implementation planning")


if __name__ == "__main__":
    main()
