package ha

import (
    "context"
    "sync"
    "time"
    "fmt"
    "net"
    "log"
)

type RedundancyLevel int

const (
    NoRedundancy RedundancyLevel = iota
    ActivePassive
    ActiveActive
    NPlus1
    TwoNPlus1
    FullMesh
)

type FailoverStrategy int

const (
    HotStandby FailoverStrategy = iota
    WarmStandby
    ColdStandby
    LoadBalanced
    GeographicRedundancy
)

type NetworkComponent struct {
    ID              string            `json:"id"`
    Name            string            `json:"name"`
    Type            string            `json:"type"`
    IPAddress       net.IP            `json:"ip_address"`
    Status          ComponentStatus   `json:"status"`
    Role            ComponentRole     `json:"role"`
    Priority        int               `json:"priority"`
    HealthScore     float64           `json:"health_score"`
    LastHealthCheck time.Time         `json:"last_health_check"`
    Capabilities    []string          `json:"capabilities"`
    Dependencies    []string          `json:"dependencies"`
    Metrics         ComponentMetrics  `json:"metrics"`
    RedundancyGroup string            `json:"redundancy_group"`
    FailoverPartner *NetworkComponent `json:"failover_partner,omitempty"`
}

type ComponentStatus int

const (
    StatusUnknown ComponentStatus = iota
    StatusHealthy
    StatusDegraded
    StatusFailed
    StatusMaintenance
    StatusStandby
)

type ComponentRole int

const (
    RolePrimary ComponentRole = iota
    RoleSecondary
    RoleStandby
    RoleBackup
    RoleLoadBalancer
)

type ComponentMetrics struct {
    CPU             float64   `json:"cpu_usage"`
    Memory          float64   `json:"memory_usage"`
    Bandwidth       float64   `json:"bandwidth_usage"`
    Latency         float64   `json:"latency_ms"`
    PacketLoss      float64   `json:"packet_loss_percent"`
    Availability    float64   `json:"availability_percent"`
    Throughput      float64   `json:"throughput_mbps"`
    ErrorRate       float64   `json:"error_rate"`
    ResponseTime    float64   `json:"response_time_ms"`
    LastUpdated     time.Time `json:"last_updated"`
}

type HAManager struct {
    Components        map[string]*NetworkComponent
    RedundancyGroups  map[string]*RedundancyGroup
    FailoverEngine    *FailoverEngine
    HealthMonitor     *HealthMonitor
    TopologyManager   *TopologyManager
    ConfigManager     *ConfigurationManager
    AlertManager      *AlertManager
    mutex             sync.RWMutex
}

type RedundancyGroup struct {
    ID              string                     `json:"id"`
    Name            string                     `json:"name"`
    Level           RedundancyLevel            `json:"level"`
    Strategy        FailoverStrategy           `json:"strategy"`
    Components      []*NetworkComponent        `json:"components"`
    PrimaryComponent *NetworkComponent         `json:"primary_component"`
    ActiveComponents []*NetworkComponent       `json:"active_components"`
    StandbyComponents []*NetworkComponent      `json:"standby_components"`
    HealthThreshold float64                    `json:"health_threshold"`
    FailoverTimeout time.Duration              `json:"failover_timeout"`
    PreemptionEnabled bool                     `json:"preemption_enabled"`
    LoadBalancing   LoadBalancingConfig        `json:"load_balancing"`
    SplitBrainProtection SplitBrainConfig      `json:"split_brain_protection"`
}

type LoadBalancingConfig struct {
    Algorithm       string            `json:"algorithm"`
    HealthCheckPath string            `json:"health_check_path"`
    Weights         map[string]int    `json:"weights"`
    SessionAffinity bool              `json:"session_affinity"`
    TrafficRatio    map[string]float64 `json:"traffic_ratio"`
}

type SplitBrainConfig struct {
    Enabled         bool              `json:"enabled"`
    QuorumNodes     []string          `json:"quorum_nodes"`
    WitnessNode     string            `json:"witness_node"`
    FencingEnabled  bool              `json:"fencing_enabled"`
    IsolationMethod string            `json:"isolation_method"`
}

func NewHAManager() *HAManager {
    return &HAManager{
        Components:       make(map[string]*NetworkComponent),
        RedundancyGroups: make(map[string]*RedundancyGroup),
        FailoverEngine:   NewFailoverEngine(),
        HealthMonitor:    NewHealthMonitor(),
        TopologyManager:  NewTopologyManager(),
        ConfigManager:    NewConfigurationManager(),
        AlertManager:     NewAlertManager(),
    }
}

func (ha *HAManager) RegisterComponent(component *NetworkComponent) error {
    ha.mutex.Lock()
    defer ha.mutex.Unlock()
    
    if _, exists := ha.Components[component.ID]; exists {
        return fmt.Errorf("component %s already registered", component.ID)
    }
    
    // Initialize component
    component.LastHealthCheck = time.Now()
    component.HealthScore = 100.0
    component.Status = StatusUnknown
    
    ha.Components[component.ID] = component
    
    // Start health monitoring
    go ha.HealthMonitor.MonitorComponent(component)
    
    log.Printf("Registered component: %s (%s)", component.Name, component.ID)
    return nil
}

func (ha *HAManager) CreateRedundancyGroup(config RedundancyGroupConfig) (*RedundancyGroup, error) {
    ha.mutex.Lock()
    defer ha.mutex.Unlock()
    
    group := &RedundancyGroup{
        ID:                config.ID,
        Name:              config.Name,
        Level:             config.Level,
        Strategy:          config.Strategy,
        Components:        []*NetworkComponent{},
        HealthThreshold:   config.HealthThreshold,
        FailoverTimeout:   config.FailoverTimeout,
        PreemptionEnabled: config.PreemptionEnabled,
        LoadBalancing:     config.LoadBalancing,
        SplitBrainProtection: config.SplitBrainProtection,
    }
    
    // Add components to group
    for _, componentID := range config.ComponentIDs {
        if component, exists := ha.Components[componentID]; exists {
            component.RedundancyGroup = group.ID
            group.Components = append(group.Components, component)
        } else {
            return nil, fmt.Errorf("component %s not found", componentID)
        }
    }
    
    // Initialize group roles based on redundancy level
    err := ha.initializeGroupRoles(group)
    if err != nil {
        return nil, fmt.Errorf("failed to initialize group roles: %v", err)
    }
    
    ha.RedundancyGroups[group.ID] = group
    
    log.Printf("Created redundancy group: %s with %d components", group.Name, len(group.Components))
    return group, nil
}

func (ha *HAManager) initializeGroupRoles(group *RedundancyGroup) error {
    switch group.Level {
    case ActivePassive:
        return ha.setupActivePassive(group)
    case ActiveActive:
        return ha.setupActiveActive(group)
    case NPlus1:
        return ha.setupNPlus1(group)
    case TwoNPlus1:
        return ha.setupTwoNPlus1(group)
    case FullMesh:
        return ha.setupFullMesh(group)
    default:
        return fmt.Errorf("unsupported redundancy level: %v", group.Level)
    }
}

func (ha *HAManager) setupActivePassive(group *RedundancyGroup) error {
    if len(group.Components) < 2 {
        return fmt.Errorf("active-passive requires at least 2 components")
    }
    
    // Sort components by priority (highest first)
    components := ha.sortComponentsByPriority(group.Components)
    
    // Assign primary role to highest priority component
    components[0].Role = RolePrimary
    group.PrimaryComponent = components[0]
    group.ActiveComponents = []*NetworkComponent{components[0]}
    
    // Assign standby roles to remaining components
    for i := 1; i < len(components); i++ {
        components[i].Role = RoleStandby
        components[i].Status = StatusStandby
        group.StandbyComponents = append(group.StandbyComponents, components[i])
    }
    
    return nil
}

func (ha *HAManager) setupActiveActive(group *RedundancyGroup) error {
    if len(group.Components) < 2 {
        return fmt.Errorf("active-active requires at least 2 components")
    }
    
    // All components are active in active-active configuration
    for _, component := range group.Components {
        component.Role = RolePrimary
        group.ActiveComponents = append(group.ActiveComponents, component)
    }
    
    // Configure load balancing
    ha.configureLoadBalancing(group)
    
    return nil
}

func (ha *HAManager) MonitorRedundancyGroups(ctx context.Context) {
    ticker := time.NewTicker(5 * time.Second)
    defer ticker.Stop()
    
    for {
        select {
        case <-ctx.Done():
            return
        case <-ticker.C:
            ha.checkRedundancyGroupHealth()
        }
    }
}

func (ha *HAManager) checkRedundancyGroupHealth() {
    ha.mutex.RLock()
    defer ha.mutex.RUnlock()
    
    for _, group := range ha.RedundancyGroups {
        groupHealth := ha.calculateGroupHealth(group)
        
        if groupHealth < group.HealthThreshold {
            ha.triggerFailoverIfNeeded(group)
        }
        
        // Check for split-brain scenarios
        if group.SplitBrainProtection.Enabled {
            ha.checkSplitBrain(group)
        }
    }
}

func (ha *HAManager) calculateGroupHealth(group *RedundancyGroup) float64 {
    if len(group.Components) == 0 {
        return 0.0
    }
    
    var totalHealth float64
    var activeComponents int
    
    for _, component := range group.Components {
        if component.Status == StatusHealthy || component.Status == StatusDegraded {
            totalHealth += component.HealthScore
            activeComponents++
        }
    }
    
    if activeComponents == 0 {
        return 0.0
    }
    
    return totalHealth / float64(activeComponents)
}

func (ha *HAManager) triggerFailoverIfNeeded(group *RedundancyGroup) {
    switch group.Level {
    case ActivePassive:
        ha.handleActivePassiveFailover(group)
    case ActiveActive:
        ha.handleActiveActiveFailover(group)
    case NPlus1:
        ha.handleNPlus1Failover(group)
    }
}

func (ha *HAManager) handleActivePassiveFailover(group *RedundancyGroup) {
    primary := group.PrimaryComponent
    
    if primary.Status == StatusFailed || primary.HealthScore < group.HealthThreshold {
        // Find best standby component
        bestStandby := ha.findBestStandbyComponent(group.StandbyComponents)
        
        if bestStandby != nil {
            ha.performFailover(primary, bestStandby, group)
        }
    }
}

func (ha *HAManager) performFailover(from, to *NetworkComponent, group *RedundancyGroup) {
    log.Printf("Performing failover from %s to %s in group %s", from.Name, to.Name, group.Name)
    
    // Update roles
    from.Role = RoleStandby
    from.Status = StatusStandby
    to.Role = RolePrimary
    to.Status = StatusHealthy
    
    // Update group configuration
    group.PrimaryComponent = to
    
    // Remove from standby list and add to active list
    group.StandbyComponents = ha.removeComponentFromSlice(group.StandbyComponents, to)
    group.ActiveComponents = []*NetworkComponent{to}
    group.StandbyComponents = append(group.StandbyComponents, from)
    
    // Execute failover configuration
    err := ha.FailoverEngine.ExecuteFailover(FailoverContext{
        SourceComponent: from,
        TargetComponent: to,
        Group:          group,
        Timestamp:      time.Now(),
    })
    
    if err != nil {
        log.Printf("Failover execution failed: %v", err)
        ha.AlertManager.SendAlert(Alert{
            Severity:    "Critical",
            Source:      "HA Manager",
            Message:     fmt.Sprintf("Failover failed: %v", err),
            Timestamp:   time.Now(),
        })
    } else {
        ha.AlertManager.SendAlert(Alert{
            Severity:    "Warning",
            Source:      "HA Manager",
            Message:     fmt.Sprintf("Failover completed from %s to %s", from.Name, to.Name),
            Timestamp:   time.Now(),
        })
    }
}

type FailoverEngine struct {
    ConfigurationTemplates map[string]FailoverTemplate
    ExecutionHistory      []FailoverExecution
    mutex                 sync.RWMutex
}

type FailoverTemplate struct {
    Name              string                 `json:"name"`
    ComponentType     string                 `json:"component_type"`
    PreFailoverSteps  []FailoverStep         `json:"pre_failover_steps"`
    FailoverSteps     []FailoverStep         `json:"failover_steps"`
    PostFailoverSteps []FailoverStep         `json:"post_failover_steps"`
    RollbackSteps     []FailoverStep         `json:"rollback_steps"`
    Timeout           time.Duration          `json:"timeout"`
    ValidationSteps   []ValidationStep       `json:"validation_steps"`
}

type FailoverStep struct {
    Name        string        `json:"name"`
    Type        string        `json:"type"`
    Target      string        `json:"target"`
    Command     string        `json:"command"`
    Parameters  interface{}   `json:"parameters"`
    Timeout     time.Duration `json:"timeout"`
    RetryCount  int           `json:"retry_count"`
    OnFailure   string        `json:"on_failure"` // continue, abort, rollback
}

type ValidationStep struct {
    Name        string        `json:"name"`
    Type        string        `json:"type"`
    Check       string        `json:"check"`
    Expected    interface{}   `json:"expected"`
    Timeout     time.Duration `json:"timeout"`
    Critical    bool          `json:"critical"`
}

type FailoverContext struct {
    SourceComponent *NetworkComponent
    TargetComponent *NetworkComponent
    Group          *RedundancyGroup
    Timestamp      time.Time
    RequestID      string
}

type FailoverExecution struct {
    ID              string        `json:"id"`
    Context         FailoverContext `json:"context"`
    Template        FailoverTemplate `json:"template"`
    StartTime       time.Time     `json:"start_time"`
    EndTime         time.Time     `json:"end_time"`
    Status          string        `json:"status"`
    StepsExecuted   []StepResult  `json:"steps_executed"`
    ErrorMessage    string        `json:"error_message,omitempty"`
}

type StepResult struct {
    Step        FailoverStep  `json:"step"`
    StartTime   time.Time     `json:"start_time"`
    EndTime     time.Time     `json:"end_time"`
    Status      string        `json:"status"`
    Output      string        `json:"output"`
    Error       string        `json:"error,omitempty"`
}

func NewFailoverEngine() *FailoverEngine {
    return &FailoverEngine{
        ConfigurationTemplates: make(map[string]FailoverTemplate),
        ExecutionHistory:      []FailoverExecution{},
    }
}

func (fe *FailoverEngine) ExecuteFailover(context FailoverContext) error {
    fe.mutex.Lock()
    defer fe.mutex.Unlock()
    
    // Find appropriate template
    template, err := fe.findFailoverTemplate(context.SourceComponent.Type)
    if err != nil {
        return fmt.Errorf("failover template not found: %v", err)
    }
    
    execution := FailoverExecution{
        ID:        generateExecutionID(),
        Context:   context,
        Template:  template,
        StartTime: time.Now(),
        Status:    "running",
    }
    
    // Execute pre-failover steps
    for _, step := range template.PreFailoverSteps {
        result := fe.executeStep(step, context)
        execution.StepsExecuted = append(execution.StepsExecuted, result)
        
        if result.Status == "failed" && step.OnFailure == "abort" {
            execution.Status = "failed"
            execution.ErrorMessage = result.Error
            execution.EndTime = time.Now()
            fe.ExecutionHistory = append(fe.ExecutionHistory, execution)
            return fmt.Errorf("pre-failover step failed: %s", result.Error)
        }
    }
    
    // Execute main failover steps
    for _, step := range template.FailoverSteps {
        result := fe.executeStep(step, context)
        execution.StepsExecuted = append(execution.StepsExecuted, result)
        
        if result.Status == "failed" {
            if step.OnFailure == "rollback" {
                fe.executeRollback(template.RollbackSteps, context)
            }
            execution.Status = "failed"
            execution.ErrorMessage = result.Error
            execution.EndTime = time.Now()
            fe.ExecutionHistory = append(fe.ExecutionHistory, execution)
            return fmt.Errorf("failover step failed: %s", result.Error)
        }
    }
    
    // Execute post-failover steps
    for _, step := range template.PostFailoverSteps {
        result := fe.executeStep(step, context)
        execution.StepsExecuted = append(execution.StepsExecuted, result)
    }
    
    // Validate failover success
    validationResults := fe.validateFailover(template.ValidationSteps, context)
    for _, validationResult := range validationResults {
        if !validationResult.Success && validationResult.Critical {
            execution.Status = "failed"
            execution.ErrorMessage = validationResult.Error
            execution.EndTime = time.Now()
            fe.ExecutionHistory = append(fe.ExecutionHistory, execution)
            return fmt.Errorf("failover validation failed: %s", validationResult.Error)
        }
    }
    
    execution.Status = "completed"
    execution.EndTime = time.Now()
    fe.ExecutionHistory = append(fe.ExecutionHistory, execution)
    
    return nil
}

func (fe *FailoverEngine) executeStep(step FailoverStep, context FailoverContext) StepResult {
    result := StepResult{
        Step:      step,
        StartTime: time.Now(),
        Status:    "running",
    }
    
    switch step.Type {
    case "configuration_update":
        result = fe.executeConfigurationUpdate(step, context)
    case "service_control":
        result = fe.executeServiceControl(step, context)
    case "network_command":
        result = fe.executeNetworkCommand(step, context)
    case "health_check":
        result = fe.executeHealthCheck(step, context)
    case "traffic_redirect":
        result = fe.executeTrafficRedirect(step, context)
    default:
        result.Status = "failed"
        result.Error = fmt.Sprintf("unknown step type: %s", step.Type)
    }
    
    result.EndTime = time.Now()
    return result
}

func (fe *FailoverEngine) executeConfigurationUpdate(step FailoverStep, context FailoverContext) StepResult {
    result := StepResult{
        Step:      step,
        StartTime: time.Now(),
        Status:    "running",
    }
    
    // Implementation for configuration updates
    // This would integrate with network device APIs
    
    result.Status = "completed"
    result.Output = "Configuration updated successfully"
    
    return result
}

func (fe *FailoverEngine) executeTrafficRedirect(step FailoverStep, context FailoverContext) StepResult {
    result := StepResult{
        Step:      step,
        StartTime: time.Now(),
        Status:    "running",
    }
    
    // Implementation for traffic redirection
    // This would update routing tables, load balancer configuration, etc.
    
    result.Status = "completed"
    result.Output = "Traffic redirected successfully"
    
    return result
}

import asyncio
from typing import Dict, List, Any, Optional, Set
from dataclasses import dataclass, field
from enum import Enum
import time
import logging
from datetime import datetime, timedelta

class FailureType(Enum):
    COMPONENT_FAILURE = "component_failure"
    LINK_FAILURE = "link_failure"
    POWER_FAILURE = "power_failure"
    SOFTWARE_FAILURE = "software_failure"
    NETWORK_PARTITION = "network_partition"
    PERFORMANCE_DEGRADATION = "performance_degradation"
    SECURITY_BREACH = "security_breach"

class FailoverTrigger(Enum):
    HEALTH_CHECK_FAILURE = "health_check_failure"
    PERFORMANCE_THRESHOLD = "performance_threshold"
    MANUAL_TRIGGER = "manual_trigger"
    SCHEDULED_MAINTENANCE = "scheduled_maintenance"
    CASCADE_FAILURE = "cascade_failure"

@dataclass
class FailureEvent:
    event_id: str
    timestamp: datetime
    failure_type: FailureType
    affected_components: List[str]
    severity: str
    description: str
    root_cause: Optional[str] = None
    impact_assessment: Dict[str, Any] = field(default_factory=dict)
    detection_method: str = "automated"
    correlation_id: Optional[str] = None

@dataclass
class FailoverPlan:
    plan_id: str
    trigger: FailoverTrigger
    source_components: List[str]
    target_components: List[str]
    estimated_downtime: float
    risk_level: str
    approval_required: bool
    rollback_plan: 'FailoverPlan'
    dependencies: List[str] = field(default_factory=list)
    validation_checks: List[str] = field(default_factory=list)
    communication_plan: Dict[str, Any] = field(default_factory=dict)

class IntelligentFailoverOrchestrator:
    def __init__(self):
        self.failure_detector = FailureDetector()
        self.impact_analyzer = ImpactAnalyzer()
        self.plan_generator = FailoverPlanGenerator()
        self.execution_engine = FailoverExecutionEngine()
        self.rollback_manager = RollbackManager()
        self.communication_manager = CommunicationManager()
        self.audit_logger = AuditLogger()
        
        self.active_failovers = {}
        self.failover_history = []
        self.performance_metrics = PerformanceMetrics()
        
    async def orchestrate_failover(self, failure_event: FailureEvent) -> Dict[str, Any]:
        """Orchestrate intelligent failover response"""
        orchestration_result = {
            'event_id': failure_event.event_id,
            'start_time': time.time(),
            'phases': [],
            'overall_result': 'pending'
        }
        
        try:
            # Phase 1: Impact Assessment
            impact_phase = await self._assess_impact(failure_event)
            orchestration_result['phases'].append(impact_phase)
            
            # Phase 2: Plan Generation
            planning_phase = await self._generate_failover_plan(failure_event, impact_phase)
            orchestration_result['phases'].append(planning_phase)
            
            # Phase 3: Approval Process (if required)
            if planning_phase['plan'].approval_required:
                approval_phase = await self._handle_approval_process(planning_phase['plan'])
                orchestration_result['phases'].append(approval_phase)
                
                if not approval_phase['approved']:
                    orchestration_result['overall_result'] = 'cancelled'
                    return orchestration_result
            
            # Phase 4: Pre-Execution Validation
            validation_phase = await self._validate_pre_execution(planning_phase['plan'])
            orchestration_result['phases'].append(validation_phase)
            
            if not validation_phase['valid']:
                orchestration_result['overall_result'] = 'validation_failed'
                return orchestration_result
            
            # Phase 5: Failover Execution
            execution_phase = await self._execute_failover(planning_phase['plan'])
            orchestration_result['phases'].append(execution_phase)
            
            # Phase 6: Post-Execution Validation
            post_validation_phase = await self._validate_post_execution(planning_phase['plan'])
            orchestration_result['phases'].append(post_validation_phase)
            
            if post_validation_phase['valid']:
                orchestration_result['overall_result'] = 'completed'
            else:
                # Trigger rollback
                rollback_phase = await self._execute_rollback(planning_phase['plan'])
                orchestration_result['phases'].append(rollback_phase)
                orchestration_result['overall_result'] = 'rolled_back'
            
        except Exception as e:
            orchestration_result['overall_result'] = 'failed'
            orchestration_result['error'] = str(e)
            
            # Emergency rollback
            try:
                await self._emergency_rollback(orchestration_result)
            except Exception as rollback_error:
                orchestration_result['rollback_error'] = str(rollback_error)
        
        orchestration_result['end_time'] = time.time()
        orchestration_result['duration'] = orchestration_result['end_time'] - orchestration_result['start_time']
        
        # Log to audit trail
        self.audit_logger.log_failover_orchestration(orchestration_result)
        
        return orchestration_result
    
    async def _assess_impact(self, failure_event: FailureEvent) -> Dict[str, Any]:
        """Assess the impact of the failure event"""
        impact_assessment = {
            'phase': 'impact_assessment',
            'start_time': time.time(),
            'affected_services': [],
            'business_impact': {},
            'technical_impact': {},
            'cascading_risks': []
        }
        
        # Analyze affected services
        for component_id in failure_event.affected_components:
            services = await self.impact_analyzer.get_dependent_services(component_id)
            impact_assessment['affected_services'].extend(services)
        
        # Assess business impact
        impact_assessment['business_impact'] = await self.impact_analyzer.assess_business_impact(
            failure_event, impact_assessment['affected_services']
        )
        
        # Assess technical impact
        impact_assessment['technical_impact'] = await self.impact_analyzer.assess_technical_impact(
            failure_event
        )
        
        # Identify cascading failure risks
        impact_assessment['cascading_risks'] = await self.impact_analyzer.identify_cascading_risks(
            failure_event
        )
        
        impact_assessment['end_time'] = time.time()
        impact_assessment['duration'] = impact_assessment['end_time'] - impact_assessment['start_time']
        
        return impact_assessment
    
    async def _generate_failover_plan(self, failure_event: FailureEvent, 
                                    impact_assessment: Dict[str, Any]) -> Dict[str, Any]:
        """Generate optimal failover plan"""
        planning_phase = {
            'phase': 'plan_generation',
            'start_time': time.time(),
            'plan_options': [],
            'selected_plan': None,
            'selection_criteria': {}
        }
        
        # Generate multiple plan options
        plan_options = await self.plan_generator.generate_plan_options(
            failure_event, impact_assessment
        )
        planning_phase['plan_options'] = plan_options
        
        # Select optimal plan
        selected_plan = await self.plan_generator.select_optimal_plan(
            plan_options, impact_assessment
        )
        planning_phase['selected_plan'] = selected_plan
        planning_phase['plan'] = selected_plan
        
        # Document selection criteria
        planning_phase['selection_criteria'] = {
            'primary_criteria': 'minimize_downtime',
            'secondary_criteria': 'minimize_risk',
            'business_priority': impact_assessment['business_impact'].get('priority', 'medium'),
            'available_resources': await self._get_available_resources()
        }
        
        planning_phase['end_time'] = time.time()
        planning_phase['duration'] = planning_phase['end_time'] - planning_phase['start_time']
        
        return planning_phase

class FailureDetector:
    """Advanced failure detection with machine learning"""
    
    def __init__(self):
        self.detection_rules = FailureDetectionRules()
        self.anomaly_detector = AnomalyDetector()
        self.correlation_engine = FailureCorrelationEngine()
        self.symptom_analyzer = SymptomAnalyzer()
        
    async def detect_failures(self, monitoring_data: Dict[str, Any]) -> List[FailureEvent]:
        """Detect failures using multiple detection methods"""
        detected_failures = []
        
        # Rule-based detection
        rule_based_failures = await self._rule_based_detection(monitoring_data)
        detected_failures.extend(rule_based_failures)
        
        # Anomaly-based detection
        anomaly_based_failures = await self._anomaly_based_detection(monitoring_data)
        detected_failures.extend(anomaly_based_failures)
        
        # Correlation-based detection
        correlation_based_failures = await self._correlation_based_detection(monitoring_data)
        detected_failures.extend(correlation_based_failures)
        
        # Symptom-based detection
        symptom_based_failures = await self._symptom_based_detection(monitoring_data)
        detected_failures.extend(symptom_based_failures)
        
        # Deduplicate and correlate failures
        correlated_failures = self.correlation_engine.correlate_failures(detected_failures)
        
        return correlated_failures
    
    async def _rule_based_detection(self, monitoring_data: Dict[str, Any]) -> List[FailureEvent]:
        """Detect failures using predefined rules"""
        failures = []
        
        for rule in self.detection_rules.get_all_rules():
            if self._evaluate_rule(rule, monitoring_data):
                failure = FailureEvent(
                    event_id=self._generate_event_id(),
                    timestamp=datetime.now(),
                    failure_type=FailureType(rule.failure_type),
                    affected_components=rule.affected_components,
                    severity=rule.severity,
                    description=rule.description,
                    detection_method='rule_based'
                )
                failures.append(failure)
        
        return failures
    
    async def _anomaly_based_detection(self, monitoring_data: Dict[str, Any]) -> List[FailureEvent]:
        """Detect failures using anomaly detection"""
        failures = []
        
        for component_id, metrics in monitoring_data.items():
            anomalies = await self.anomaly_detector.detect_anomalies(component_id, metrics)
            
            for anomaly in anomalies:
                if anomaly.severity >= 0.8:  # High severity threshold
                    failure = FailureEvent(
                        event_id=self._generate_event_id(),
                        timestamp=datetime.now(),
                        failure_type=self._infer_failure_type(anomaly),
                        affected_components=[component_id],
                        severity='high' if anomaly.severity >= 0.9 else 'medium',
                        description=f"Anomaly detected: {anomaly.description}",
                        detection_method='anomaly_based'
                    )
                    failures.append(failure)
        
        return failures

class FailoverPlanGenerator:
    """Generate optimal failover plans"""
    
    def __init__(self):
        self.topology_analyzer = TopologyAnalyzer()
        self.resource_manager = ResourceManager()
        self.constraint_solver = ConstraintSolver()
        self.cost_calculator = CostCalculator()
        
    async def generate_plan_options(self, failure_event: FailureEvent,
                                  impact_assessment: Dict[str, Any]) -> List[FailoverPlan]:
        """Generate multiple failover plan options"""
        plan_options = []
        
        # Get available resources
        available_resources = await self.resource_manager.get_available_resources()
        
        # Generate plans for each affected component
        for component_id in failure_event.affected_components:
            # Option 1: Hot standby failover
            hot_standby_plan = await self._generate_hot_standby_plan(
                component_id, available_resources
            )
            if hot_standby_plan:
                plan_options.append(hot_standby_plan)
            
            # Option 2: Warm standby failover
            warm_standby_plan = await self._generate_warm_standby_plan(
                component_id, available_resources
            )
            if warm_standby_plan:
                plan_options.append(warm_standby_plan)
            
            # Option 3: Cold standby failover
            cold_standby_plan = await self._generate_cold_standby_plan(
                component_id, available_resources
            )
            if cold_standby_plan:
                plan_options.append(cold_standby_plan)
            
            # Option 4: Load redistribution
            load_redistribution_plan = await self._generate_load_redistribution_plan(
                component_id, available_resources
            )
            if load_redistribution_plan:
                plan_options.append(load_redistribution_plan)
        
        # Validate and score each plan
        validated_plans = []
        for plan in plan_options:
            validation_result = await self._validate_plan(plan)
            if validation_result.valid:
                plan.score = await self._score_plan(plan, impact_assessment)
                validated_plans.append(plan)
        
        return validated_plans
    
    async def _generate_hot_standby_plan(self, component_id: str,
                                       available_resources: Dict[str, Any]) -> Optional[FailoverPlan]:
        """Generate hot standby failover plan"""
        # Find hot standby resources
        hot_standby_resources = available_resources.get('hot_standby', {})
        
        if component_id in hot_standby_resources:
            standby_component = hot_standby_resources[component_id]
            
            plan = FailoverPlan(
                plan_id=self._generate_plan_id(),
                trigger=FailoverTrigger.HEALTH_CHECK_FAILURE,
                source_components=[component_id],
                target_components=[standby_component.id],
                estimated_downtime=0.1,  # 100ms for hot standby
                risk_level='low',
                approval_required=False,
                rollback_plan=self._generate_rollback_plan(standby_component.id, component_id)
            )
            
            return plan
        
        return None
    
    async def select_optimal_plan(self, plan_options: List[FailoverPlan],
                                impact_assessment: Dict[str, Any]) -> FailoverPlan:
        """Select the optimal failover plan"""
        if not plan_options:
            raise ValueError("No valid failover plans available")
        
        # Score plans based on multiple criteria
        scored_plans = []
        for plan in plan_options:
            score = await self._calculate_comprehensive_score(plan, impact_assessment)
            scored_plans.append((plan, score))
        
        # Sort by score (highest first)
        scored_plans.sort(key=lambda x: x[1], reverse=True)
        
        return scored_plans[0][0]
    
    async def _calculate_comprehensive_score(self, plan: FailoverPlan,
                                          impact_assessment: Dict[str, Any]) -> float:
        """Calculate comprehensive score for failover plan"""
        scores = {}
        
        # Downtime score (higher is better)
        max_acceptable_downtime = impact_assessment.get('max_acceptable_downtime', 300)
        scores['downtime'] = max(0, 1 - (plan.estimated_downtime / max_acceptable_downtime))
        
        # Risk score (lower risk is better)
        risk_weights = {'low': 1.0, 'medium': 0.7, 'high': 0.4, 'critical': 0.1}
        scores['risk'] = risk_weights.get(plan.risk_level, 0.5)
        
        # Resource availability score
        scores['resources'] = await self._calculate_resource_score(plan)
        
        # Business impact score
        scores['business'] = await self._calculate_business_score(plan, impact_assessment)
        
        # Calculate weighted average
        weights = {
            'downtime': 0.35,
            'risk': 0.25,
            'resources': 0.20,
            'business': 0.20
        }
        
        total_score = sum(scores[key] * weights[key] for key in scores)
        
        return total_score

class FailoverExecutionEngine:
    """Execute failover plans with coordination and monitoring"""
    
    def __init__(self):
        self.step_executor = StepExecutor()
        self.coordination_manager = CoordinationManager()
        self.progress_monitor = ProgressMonitor()
        self.state_manager = StateManager()
        
    async def execute_failover_plan(self, plan: FailoverPlan) -> Dict[str, Any]:
        """Execute failover plan with full coordination"""
        execution_result = {
            'plan_id': plan.plan_id,
            'start_time': time.time(),
            'steps_executed': [],
            'coordination_events': [],
            'state_changes': [],
            'success': False
        }
        
        try:
            # Initialize execution state
            await self.state_manager.initialize_execution_state(plan)
            
            # Execute pre-failover coordination
            coordination_result = await self.coordination_manager.coordinate_pre_failover(plan)
            execution_result['coordination_events'].append(coordination_result)
            
            # Execute failover steps
            for step in plan.execution_steps:
                step_result = await self.step_executor.execute_step(step, plan)
                execution_result['steps_executed'].append(step_result)
                
                # Track state changes
                state_change = await self.state_manager.track_state_change(step, step_result)
                execution_result['state_changes'].append(state_change)
                
                # Monitor progress
                progress = await self.progress_monitor.update_progress(step, step_result)
                
                if not step_result.success and step.critical:
                    raise Exception(f"Critical step failed: {step.name}")
            
            # Execute post-failover coordination
            post_coordination = await self.coordination_manager.coordinate_post_failover(plan)
            execution_result['coordination_events'].append(post_coordination)
            
            execution_result['success'] = True
            
        except Exception as e:
            execution_result['error'] = str(e)
            execution_result['success'] = False
            
            # Attempt recovery
            recovery_result = await self._attempt_recovery(plan, execution_result)
            execution_result['recovery_attempt'] = recovery_result
        
        execution_result['end_time'] = time.time()
        execution_result['duration'] = execution_result['end_time'] - execution_result['start_time']
        
        return execution_result

class GeographicRedundancyManager:
    """Manage geographic redundancy and disaster recovery"""
    
    def __init__(self):
        self.site_manager = SiteManager()
        self.replication_manager = ReplicationManager()
        self.disaster_recovery = DisasterRecoveryOrchestrator()
        self.bandwidth_manager = BandwidthManager()
        
    async def implement_geographic_redundancy(self, geo_config: Dict[str, Any]) -> Dict[str, Any]:
        """Implement geographic redundancy strategy"""
        implementation_result = {
            'config_id': geo_config.get('id', 'default'),
            'primary_site': geo_config['primary_site'],
            'secondary_sites': geo_config['secondary_sites'],
            'replication_setup': {},
            'failover_procedures': {},
            'success': False
        }
        
        try:
            # Setup inter-site connectivity
            connectivity_result = await self._setup_inter_site_connectivity(geo_config)
            implementation_result['connectivity'] = connectivity_result
            
            # Configure data replication
            replication_result = await self._configure_data_replication(geo_config)
            implementation_result['replication_setup'] = replication_result
            
            # Setup failover procedures
            failover_procedures = await self._setup_geographic_failover(geo_config)
            implementation_result['failover_procedures'] = failover_procedures
            
            # Configure monitoring and alerting
            monitoring_result = await self._setup_geographic_monitoring(geo_config)
            implementation_result['monitoring'] = monitoring_result
            
            implementation_result['success'] = all([
                connectivity_result['success'],
                replication_result['success'],
                failover_procedures['success'],
                monitoring_result['success']
            ])
            
        except Exception as e:
            implementation_result['error'] = str(e)
        
        return implementation_result
    
    async def _setup_inter_site_connectivity(self, geo_config: Dict[str, Any]) -> Dict[str, Any]:
        """Setup connectivity between geographic sites"""
        connectivity_result = {
            'wan_links': [],
            'vpn_tunnels': [],
            'bandwidth_allocation': {},
            'success': False
        }
        
        primary_site = geo_config['primary_site']
        
        for secondary_site in geo_config['secondary_sites']:
            # Setup WAN link
            wan_link = await self._establish_wan_link(primary_site, secondary_site)
            connectivity_result['wan_links'].append(wan_link)
            
            # Setup VPN tunnel for backup
            vpn_tunnel = await self._establish_vpn_tunnel(primary_site, secondary_site)
            connectivity_result['vpn_tunnels'].append(vpn_tunnel)
            
            # Allocate bandwidth
            bandwidth_allocation = await self.bandwidth_manager.allocate_inter_site_bandwidth(
                primary_site, secondary_site, geo_config.get('bandwidth_requirements', {})
            )
            connectivity_result['bandwidth_allocation'][f"{primary_site}-{secondary_site}"] = bandwidth_allocation
        
        connectivity_result['success'] = all([
            all(link['success'] for link in connectivity_result['wan_links']),
            all(tunnel['success'] for tunnel in connectivity_result['vpn_tunnels'])
        ])
        
        return connectivity_result

class ResilienceAnalyzer:
    """Analyze network resilience and identify improvement opportunities"""
    
    def __init__(self):
        self.failure_simulator = FailureSimulator()
        self.topology_analyzer = TopologyAnalyzer()
        self.redundancy_calculator = RedundancyCalculator()
        self.risk_assessor = RiskAssessor()
        
    async def analyze_network_resilience(self, network_topology: Dict[str, Any]) -> Dict[str, Any]:
        """Comprehensive resilience analysis"""
        analysis_result = {
            'overall_resilience_score': 0,
            'single_points_of_failure': [],
            'redundancy_analysis': {},
            'failure_simulation_results': {},
            'improvement_recommendations': [],
            'risk_assessment': {}
        }
        
        # Identify single points of failure
        analysis_result['single_points_of_failure'] = await self._identify_spofs(network_topology)
        
        # Analyze redundancy levels
        analysis_result['redundancy_analysis'] = await self._analyze_redundancy(network_topology)
        
        # Simulate failure scenarios
        analysis_result['failure_simulation_results'] = await self._simulate_failure_scenarios(network_topology)
        
        # Assess risks
        analysis_result['risk_assessment'] = await self.risk_assessor.assess_risks(network_topology)
        
        # Calculate overall resilience score
        analysis_result['overall_resilience_score'] = await self._calculate_resilience_score(analysis_result)
        
        # Generate improvement recommendations
        analysis_result['improvement_recommendations'] = await self._generate_improvement_recommendations(analysis_result)
        
        return analysis_result
    
    async def _simulate_failure_scenarios(self, network_topology: Dict[str, Any]) -> Dict[str, Any]:
        """Simulate various failure scenarios"""
        simulation_results = {}
        
        # Simulate single component failures
        for component in network_topology.get('components', []):
            simulation_result = await self.failure_simulator.simulate_component_failure(
                component['id'], network_topology
            )
            simulation_results[f"component_{component['id']}"] = simulation_result
        
        # Simulate link failures
        for link in network_topology.get('links', []):
            simulation_result = await self.failure_simulator.simulate_link_failure(
                link['id'], network_topology
            )
            simulation_results[f"link_{link['id']}"] = simulation_result
        
        # Simulate cascade failures
        cascade_scenarios = await self._generate_cascade_scenarios(network_topology)
        for scenario in cascade_scenarios:
            simulation_result = await self.failure_simulator.simulate_cascade_failure(
                scenario, network_topology
            )
            simulation_results[f"cascade_{scenario['id']}"] = simulation_result
        
        # Simulate geographic failures
        site_failures = await self._generate_site_failure_scenarios(network_topology)
        for site_failure in site_failures:
            simulation_result = await self.failure_simulator.simulate_site_failure(
                site_failure, network_topology
            )
            simulation_results[f"site_{site_failure['site_id']}"] = simulation_result
        
        return simulation_results