sklears-core 0.1.1

//! Deployment Optimization Module
//!
//! This module provides comprehensive deployment analysis and optimization
//! capabilities for trait implementations across different deployment targets
//! including cloud platforms, containers, serverless environments, and edge computing.
//!
//! # Key Components
//!
//! - **DeploymentAnalyzer**: Deployment target optimization analyzer
//! - **DeploymentTarget**: Deployment environment specifications
//! - **Optimization Strategies**: Platform-specific optimization recommendations
//! - **Cost Analysis**: Deployment cost estimation and analysis
//! - **Scalability Assessment**: Scalability characteristics evaluation
//!
//! # Example Usage
//!
//! ## Basic Deployment Analysis
//!
//! ```rust,ignore
//! use sklears_core::trait_explorer::deployment_optimization::{
//!     DeploymentAnalyzer, DeploymentTarget, DeploymentType
//! };
//!
//! # fn main() -> Result<(), Box<dyn std::error::Error>> {
//! let analyzer = DeploymentAnalyzer::new();
//! let traits = vec!["Transform".to_string(), "Stateless".to_string()];
//! let platform_support = std::collections::HashMap::new(); // Populated from platform analysis
//!
//! let recommendations = analyzer.analyze_deployment_targets(&traits, &platform_support)?;
//!
//! for recommendation in &recommendations {
//!     println!("Target: {}, Score: {:.2}", recommendation.target, recommendation.suitability_score);
//!     println!("  Benefits: {:?}", recommendation.benefits);
//!     println!("  Challenges: {:?}", recommendation.challenges);
//! }
//! # Ok(())
//! # }
//! ```

use crate::error::{Result, SklearsError};

use scirs2_core::ndarray::{Array, Array1, Array2, Axis};
use scirs2_core::ndarray_ext::{manipulation, matrix, stats};
use scirs2_core::random::{thread_rng, Random};
use scirs2_core::constants::physical;
use scirs2_core::error::CoreError;

use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::sync::{Arc, Mutex};
use std::time::{Duration, Instant};

// Forward declaration for types defined in other modules
// These will be replaced with proper imports once modules are organized

/// Platform support information (from platform_analyzers.rs)
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PlatformSupport {
    pub level: PlatformSupportLevel,
    pub issues: Vec<String>,
    pub workarounds: Vec<String>,
    pub capabilities: PlatformCapabilities,
    pub optimization_recommendations: Vec<OptimizationRecommendation>,
    pub deployment_notes: Vec<String>,
}

/// Platform support levels (from platform_analyzers.rs)
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub enum PlatformSupportLevel {
    Full,
    Partial,
    Experimental,
    None,
}

/// Platform capabilities (from platform_analyzers.rs)
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PlatformCapabilities {
    pub threading_support: bool,
    pub file_system_access: bool,
    pub network_access: bool,
    pub gpu_support: bool,
    pub memory_management: MemoryManagementCapability,
    pub simd_support: SIMDCapability,
    pub floating_point_support: FloatingPointSupport,
    pub interrupt_handling: bool,
    pub real_time_constraints: bool,
    pub power_management: bool,
    pub hardware_security: bool,
    pub virtualization_support: bool,
    pub container_support: bool,
    pub cross_compilation_target: bool,
}

/// Memory management capability levels (from platform_analyzers.rs)
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum MemoryManagementCapability {
    Full,
    Limited,
    None,
}

/// SIMD instruction support levels (from platform_analyzers.rs)
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum SIMDCapability {
    None,
    Basic,
    Advanced,
    AVX512,
    NEON,
    WASM128,
}

/// Floating point support levels (from platform_analyzers.rs)
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum FloatingPointSupport {
    None,
    Software,
    Hardware,
    Full,
}

/// Optimization recommendation (from platform_analyzers.rs)
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OptimizationRecommendation {
    pub category: String,
    pub description: String,
    pub impact: OptimizationImpact,
    pub implementation_effort: ImplementationEffort,
    pub code_example: Option<String>,
}

/// Optimization impact levels (from platform_analyzers.rs)
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum OptimizationImpact {
    Minimal,
    Low,
    Moderate,
    High,
    VeryHigh,
}

/// Implementation effort estimates (from platform_analyzers.rs)
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ImplementationEffort {
    Minimal,
    Low,
    Moderate,
    High,
    VeryHigh,
}

/// Recommendation priority levels (from platform_analyzers.rs)
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum RecommendationPriority {
    Low,
    Medium,
    High,
    Critical,
}

// ================================================================================
// DEPLOYMENT ANALYZER
// ================================================================================

/// Deployment target optimization analyzer
///
/// The `DeploymentAnalyzer` provides analysis and recommendations for deploying
/// trait implementations across different deployment targets including cloud
/// platforms, containers, serverless environments, and edge computing.
#[derive(Debug, Clone)]
pub struct DeploymentAnalyzer {
    /// Deployment target database
    target_database: HashMap<String, DeploymentTarget>,
    /// Optimization strategies
    optimization_strategies: HashMap<String, Vec<OptimizationStrategy>>,
    /// Cost estimation models
    cost_models: HashMap<String, CostModel>,
}

impl DeploymentAnalyzer {
    /// Create a new DeploymentAnalyzer
    pub fn new() -> Self {
        let mut analyzer = Self {
            target_database: HashMap::new(),
            optimization_strategies: HashMap::new(),
            cost_models: HashMap::new(),
        };

        analyzer.initialize_deployment_targets();
        analyzer.initialize_optimization_strategies();
        analyzer.initialize_cost_models();
        analyzer
    }

    /// Analyze deployment targets for traits
    pub fn analyze_deployment_targets(
        &self,
        traits: &[String],
        platform_support: &HashMap<String, PlatformSupport>,
    ) -> Result<Vec<DeploymentRecommendation>> {
        let mut recommendations = Vec::new();

        for (target_name, target) in &self.target_database {
            let suitability =
                self.calculate_deployment_suitability(traits, platform_support, target)?;

            if suitability.score > 0.6 {
                recommendations.push(DeploymentRecommendation {
                    target: target_name.clone(),
                    suitability_score: suitability.score,
                    benefits: suitability.benefits,
                    challenges: suitability.challenges,
                    optimization_strategies: self
                        .optimization_strategies
                        .get(target_name)
                        .cloned()
                        .unwrap_or_default(),
                    estimated_cost: self.estimate_deployment_cost(target)?,
                    scalability_assessment: self.assess_scalability(target)?,
                    deployment_complexity: self.assess_deployment_complexity(target)?,
                    monitoring_requirements: self.generate_monitoring_requirements(target)?,
                    security_considerations: self.analyze_security_considerations(target)?,
                });
            }
        }

        // Sort by suitability score
        recommendations.sort_by(|a, b| {
            b.suitability_score
                .partial_cmp(&a.suitability_score)
                .unwrap_or(std::cmp::Ordering::Equal)
        });

        Ok(recommendations)
    }

    /// Calculate deployment suitability
    fn calculate_deployment_suitability(
        &self,
        traits: &[String],
        platform_support: &HashMap<String, PlatformSupport>,
        target: &DeploymentTarget,
    ) -> Result<DeploymentSuitability> {
        let mut score = 0.8; // Base score
        let mut benefits = Vec::new();
        let mut challenges = Vec::new();

        // Check platform compatibility
        if let Some(support) = platform_support.get(&target.platform) {
            match support.level {
                PlatformSupportLevel::Full => {
                    score += 0.2;
                    benefits.push("Full platform support".to_string());
                }
                PlatformSupportLevel::Partial => {
                    score -= 0.1;
                    challenges.push("Partial platform support".to_string());
                }
                PlatformSupportLevel::None => {
                    score -= 0.5;
                    challenges.push("No platform support".to_string());
                }
                PlatformSupportLevel::Experimental => {
                    score -= 0.2;
                    challenges.push("Experimental platform support".to_string());
                }
            }
        }

        // Assess deployment characteristics
        if target.auto_scaling {
            benefits.push("Auto-scaling capability".to_string());
            score += 0.1;
        }

        if target.managed_infrastructure {
            benefits.push("Managed infrastructure".to_string());
            score += 0.1;
        }

        if target.serverless {
            benefits.push("Serverless execution model".to_string());
            if traits.iter().any(|t| t.contains("Stateless")) {
                score += 0.15;
                benefits.push("Optimized for stateless operations".to_string());
            } else {
                challenges.push("Stateful operations may not be suitable".to_string());
                score -= 0.1;
            }
        }

        // Assess trait-specific compatibility
        self.assess_trait_deployment_compatibility(traits, target, &mut score, &mut benefits, &mut challenges)?;

        // Consider cost efficiency
        let cost = self.estimate_deployment_cost(target)?;
        if cost.monthly_base_cost < 50.0 {
            benefits.push("Cost-effective deployment".to_string());
            score += 0.05;
        } else if cost.monthly_base_cost > 200.0 {
            challenges.push("High deployment costs".to_string());
            score -= 0.05;
        }

        // Consider performance characteristics
        if target.cold_start_latency < Duration::from_millis(100) {
            benefits.push("Low latency startup".to_string());
            score += 0.05;
        } else if target.cold_start_latency > Duration::from_secs(10) {
            challenges.push("High cold start latency".to_string());
            score -= 0.1;
        }

        Ok(DeploymentSuitability {
            score: score.clamp(0.0, 1.0),
            benefits,
            challenges,
        })
    }

    /// Assess trait-specific deployment compatibility
    fn assess_trait_deployment_compatibility(
        &self,
        traits: &[String],
        target: &DeploymentTarget,
        score: &mut f64,
        benefits: &mut Vec<String>,
        challenges: &mut Vec<String>,
    ) -> Result<()> {
        for trait_name in traits {
            match trait_name.as_str() {
                trait_name if trait_name.contains("FileIO") => {
                    if target.serverless {
                        challenges.push("Limited file I/O in serverless environments".to_string());
                        *score -= 0.2;
                    } else {
                        benefits.push("Full file system access available".to_string());
                        *score += 0.1;
                    }
                }
                trait_name if trait_name.contains("Database") => {
                    if target.serverless {
                        challenges.push("Connection pooling limitations in serverless".to_string());
                        *score -= 0.1;
                    } else {
                        benefits.push("Persistent database connections supported".to_string());
                        *score += 0.1;
                    }
                }
                trait_name if trait_name.contains("GPU") => {
                    if target.deployment_type == DeploymentType::Container {
                        benefits.push("GPU access available in container deployments".to_string());
                        *score += 0.2;
                    } else {
                        challenges.push("Limited GPU access in this deployment type".to_string());
                        *score -= 0.2;
                    }
                }
                trait_name if trait_name.contains("RealTime") => {
                    if target.serverless {
                        challenges.push("Serverless not suitable for real-time processing".to_string());
                        *score -= 0.3;
                    } else if target.deployment_type == DeploymentType::BareMetalEmbedded {
                        benefits.push("Excellent real-time performance on bare metal".to_string());
                        *score += 0.2;
                    }
                }
                trait_name if trait_name.contains("HighMemory") => {
                    if target.memory_limits.1 < 4096 { // Less than 4GB
                        challenges.push("Memory limits may be insufficient".to_string());
                        *score -= 0.2;
                    } else {
                        benefits.push("Sufficient memory available".to_string());
                        *score += 0.1;
                    }
                }
                trait_name if trait_name.contains("Network") => {
                    if target.managed_infrastructure {
                        benefits.push("Managed networking capabilities".to_string());
                        *score += 0.1;
                    }
                }
                _ => {
                    // Generic compatibility assessment
                    if target.managed_infrastructure {
                        *score += 0.02; // Small bonus for managed infrastructure
                    }
                }
            }
        }

        Ok(())
    }

    /// Estimate deployment cost
    fn estimate_deployment_cost(&self, target: &DeploymentTarget) -> Result<DeploymentCost> {
        let cost_model = self.cost_models.get(&target.deployment_type.to_string())
            .ok_or_else(|| SklearsError::InvalidInput("Unknown deployment type".to_string()))?;

        Ok(DeploymentCost {
            monthly_base_cost: cost_model.base_cost,
            scaling_cost_factor: if target.auto_scaling { 1.5 } else { 1.0 },
            data_transfer_cost: cost_model.data_transfer_cost,
            storage_cost: cost_model.storage_cost,
            compute_cost_per_hour: cost_model.compute_cost_per_hour,
            network_cost_per_gb: cost_model.network_cost_per_gb,
        })
    }

    /// Assess scalability characteristics
    fn assess_scalability(&self, target: &DeploymentTarget) -> Result<ScalabilityAssessment> {
        let (scaling_latency, max_instances, cost_efficiency) = match target.deployment_type {
            DeploymentType::Serverless => (Duration::from_millis(100), 1000, 0.9),
            DeploymentType::Container => (Duration::from_secs(30), 100, 0.8),
            DeploymentType::VirtualMachine => (Duration::from_secs(120), 50, 0.7),
            DeploymentType::BareMetalEmbedded => (Duration::from_secs(300), 10, 0.6),
        };

        Ok(ScalabilityAssessment {
            horizontal_scaling: target.auto_scaling,
            vertical_scaling: !target.serverless,
            scaling_latency,
            max_instances,
            cost_efficiency,
            elasticity_score: if target.auto_scaling && target.serverless { 0.95 } else { 0.7 },
            resource_efficiency: match target.deployment_type {
                DeploymentType::Serverless => 0.9,
                DeploymentType::Container => 0.8,
                DeploymentType::VirtualMachine => 0.6,
                DeploymentType::BareMetalEmbedded => 0.4,
            },
        })
    }

    /// Assess deployment complexity
    fn assess_deployment_complexity(&self, target: &DeploymentTarget) -> Result<DeploymentComplexity> {
        let complexity_score = match target.deployment_type {
            DeploymentType::Serverless => 0.2, // Very simple
            DeploymentType::Container => 0.5,  // Moderate
            DeploymentType::VirtualMachine => 0.7, // More complex
            DeploymentType::BareMetalEmbedded => 0.9, // Very complex
        };

        let setup_requirements = match target.deployment_type {
            DeploymentType::Serverless => vec![
                "Package application".to_string(),
                "Configure function settings".to_string(),
                "Set up IAM permissions".to_string(),
            ],
            DeploymentType::Container => vec![
                "Create Dockerfile".to_string(),
                "Build container image".to_string(),
                "Configure orchestration".to_string(),
                "Set up networking".to_string(),
                "Configure storage".to_string(),
            ],
            DeploymentType::VirtualMachine => vec![
                "Provision virtual machines".to_string(),
                "Configure operating system".to_string(),
                "Install dependencies".to_string(),
                "Set up monitoring".to_string(),
                "Configure load balancing".to_string(),
                "Set up backup systems".to_string(),
            ],
            DeploymentType::BareMetalEmbedded => vec![
                "Hardware provisioning".to_string(),
                "OS installation and configuration".to_string(),
                "Driver installation".to_string(),
                "Hardware optimization".to_string(),
                "Custom deployment scripts".to_string(),
                "Physical security setup".to_string(),
                "Maintenance procedures".to_string(),
            ],
        };

        let maintenance_overhead = match target.deployment_type {
            DeploymentType::Serverless => 0.1,
            DeploymentType::Container => 0.4,
            DeploymentType::VirtualMachine => 0.7,
            DeploymentType::BareMetalEmbedded => 0.9,
        };

        Ok(DeploymentComplexity {
            complexity_score,
            setup_requirements,
            maintenance_overhead,
            required_expertise: self.get_required_expertise(target),
            deployment_time_estimate: self.estimate_deployment_time(target),
        })
    }

    /// Generate monitoring requirements
    fn generate_monitoring_requirements(&self, target: &DeploymentTarget) -> Result<MonitoringRequirements> {
        let mut metrics = vec![
            "CPU utilization".to_string(),
            "Memory usage".to_string(),
            "Response time".to_string(),
            "Error rate".to_string(),
        ];

        let mut logging_requirements = vec![
            "Application logs".to_string(),
            "Error logs".to_string(),
        ];

        let mut alerting_rules = vec![
            "High error rate (>5%)".to_string(),
            "High response time (>5s)".to_string(),
            "Resource exhaustion".to_string(),
        ];

        match target.deployment_type {
            DeploymentType::Serverless => {
                metrics.extend(vec![
                    "Cold start frequency".to_string(),
                    "Invocation count".to_string(),
                    "Duration".to_string(),
                    "Throttles".to_string(),
                ]);
                alerting_rules.push("Cold start threshold exceeded".to_string());
            }
            DeploymentType::Container => {
                metrics.extend(vec![
                    "Container restarts".to_string(),
                    "Pod status".to_string(),
                    "Network I/O".to_string(),
                ]);
                logging_requirements.push("Container orchestrator logs".to_string());
                alerting_rules.push("Pod crash loop".to_string());
            }
            DeploymentType::VirtualMachine => {
                metrics.extend(vec![
                    "Disk I/O".to_string(),
                    "Network traffic".to_string(),
                    "System load".to_string(),
                ]);
                logging_requirements.push("System logs".to_string());
                alerting_rules.push("VM resource exhaustion".to_string());
            }
            DeploymentType::BareMetalEmbedded => {
                metrics.extend(vec![
                    "Hardware temperature".to_string(),
                    "Power consumption".to_string(),
                    "Hardware health".to_string(),
                ]);
                logging_requirements.push("Hardware logs".to_string());
                alerting_rules.push("Hardware failure detected".to_string());
            }
        }

        Ok(MonitoringRequirements {
            metrics,
            logging_requirements,
            alerting_rules,
            monitoring_tools: self.recommend_monitoring_tools(target),
            health_check_interval: match target.deployment_type {
                DeploymentType::Serverless => Duration::from_secs(60),
                DeploymentType::Container => Duration::from_secs(30),
                _ => Duration::from_secs(10),
            },
        })
    }

    /// Analyze security considerations
    fn analyze_security_considerations(&self, target: &DeploymentTarget) -> Result<SecurityConsiderations> {
        let mut security_features = Vec::new();
        let mut security_risks = Vec::new();
        let mut compliance_requirements = Vec::new();
        let mut security_recommendations = Vec::new();

        match target.deployment_type {
            DeploymentType::Serverless => {
                security_features.extend(vec![
                    "Managed runtime security".to_string(),
                    "Automatic security updates".to_string(),
                    "IAM integration".to_string(),
                ]);
                security_risks.push("Limited security customization".to_string());
                security_recommendations.extend(vec![
                    "Use least privilege IAM policies".to_string(),
                    "Enable function-level logging".to_string(),
                    "Implement input validation".to_string(),
                ]);
            }
            DeploymentType::Container => {
                security_features.extend(vec![
                    "Container isolation".to_string(),
                    "Image scanning".to_string(),
                    "RBAC support".to_string(),
                ]);
                security_risks.extend(vec![
                    "Container escape vulnerabilities".to_string(),
                    "Image supply chain risks".to_string(),
                ]);
                security_recommendations.extend(vec![
                    "Use minimal base images".to_string(),
                    "Regular security scanning".to_string(),
                    "Implement pod security policies".to_string(),
                ]);
            }
            DeploymentType::VirtualMachine => {
                security_features.extend(vec![
                    "VM isolation".to_string(),
                    "Host-based firewalls".to_string(),
                    "Encrypted storage".to_string(),
                ]);
                security_risks.extend(vec![
                    "OS-level vulnerabilities".to_string(),
                    "Hypervisor escape risks".to_string(),
                ]);
                security_recommendations.extend(vec![
                    "Regular OS updates".to_string(),
                    "Network segmentation".to_string(),
                    "Intrusion detection systems".to_string(),
                ]);
            }
            DeploymentType::BareMetalEmbedded => {
                security_features.extend(vec![
                    "Physical security".to_string(),
                    "Hardware-based encryption".to_string(),
                    "Secure boot".to_string(),
                ]);
                security_risks.extend(vec![
                    "Physical access vulnerabilities".to_string(),
                    "Hardware tampering".to_string(),
                ]);
                security_recommendations.extend(vec![
                    "Physical access controls".to_string(),
                    "Hardware security modules".to_string(),
                    "Tamper detection systems".to_string(),
                ]);
            }
        }

        // Common compliance requirements
        compliance_requirements.extend(vec![
            "Data encryption in transit".to_string(),
            "Data encryption at rest".to_string(),
            "Access logging".to_string(),
            "Regular security assessments".to_string(),
        ]);

        Ok(SecurityConsiderations {
            security_features,
            security_risks,
            compliance_requirements,
            security_recommendations,
            threat_model: self.generate_threat_model(target),
        })
    }

    /// Get required expertise for deployment
    fn get_required_expertise(&self, target: &DeploymentTarget) -> Vec<String> {
        match target.deployment_type {
            DeploymentType::Serverless => vec![
                "Serverless architecture".to_string(),
                "Cloud platform (AWS/Azure/GCP)".to_string(),
                "IAM configuration".to_string(),
            ],
            DeploymentType::Container => vec![
                "Container technologies (Docker/Podman)".to_string(),
                "Container orchestration (Kubernetes)".to_string(),
                "Networking".to_string(),
                "DevOps practices".to_string(),
            ],
            DeploymentType::VirtualMachine => vec![
                "System administration".to_string(),
                "Virtualization technologies".to_string(),
                "Network configuration".to_string(),
                "Load balancing".to_string(),
                "Backup and recovery".to_string(),
            ],
            DeploymentType::BareMetalEmbedded => vec![
                "Hardware knowledge".to_string(),
                "Operating system internals".to_string(),
                "Driver development".to_string(),
                "Performance optimization".to_string(),
                "Physical security".to_string(),
            ],
        }
    }

    /// Estimate deployment time
    fn estimate_deployment_time(&self, target: &DeploymentTarget) -> Duration {
        match target.deployment_type {
            DeploymentType::Serverless => Duration::from_secs(3600), // 1 hour
            DeploymentType::Container => Duration::from_secs(14400), // 4 hours
            DeploymentType::VirtualMachine => Duration::from_secs(28800), // 8 hours
            DeploymentType::BareMetalEmbedded => Duration::from_secs(172800), // 48 hours
        }
    }

    /// Recommend monitoring tools
    fn recommend_monitoring_tools(&self, target: &DeploymentTarget) -> Vec<String> {
        match target.deployment_type {
            DeploymentType::Serverless => vec![
                "CloudWatch".to_string(),
                "AWS X-Ray".to_string(),
                "Datadog".to_string(),
            ],
            DeploymentType::Container => vec![
                "Prometheus".to_string(),
                "Grafana".to_string(),
                "Jaeger".to_string(),
                "Fluentd".to_string(),
            ],
            DeploymentType::VirtualMachine => vec![
                "Nagios".to_string(),
                "Zabbix".to_string(),
                "ELK Stack".to_string(),
                "New Relic".to_string(),
            ],
            DeploymentType::BareMetalEmbedded => vec![
                "SNMP monitoring".to_string(),
                "Custom monitoring agents".to_string(),
                "Hardware health monitoring".to_string(),
            ],
        }
    }

    /// Generate threat model
    fn generate_threat_model(&self, target: &DeploymentTarget) -> ThreatModel {
        let threats = match target.deployment_type {
            DeploymentType::Serverless => vec![
                "Code injection".to_string(),
                "Denial of service".to_string(),
                "Data exfiltration".to_string(),
                "Privilege escalation".to_string(),
            ],
            DeploymentType::Container => vec![
                "Container escape".to_string(),
                "Image vulnerabilities".to_string(),
                "Cluster compromise".to_string(),
                "Secrets exposure".to_string(),
            ],
            DeploymentType::VirtualMachine => vec![
                "VM escape".to_string(),
                "Network attacks".to_string(),
                "OS vulnerabilities".to_string(),
                "Data breaches".to_string(),
            ],
            DeploymentType::BareMetalEmbedded => vec![
                "Physical tampering".to_string(),
                "Hardware implants".to_string(),
                "Side-channel attacks".to_string(),
                "Supply chain attacks".to_string(),
            ],
        };

        ThreatModel {
            threats,
            attack_vectors: self.identify_attack_vectors(target),
            mitigation_strategies: self.generate_mitigation_strategies(target),
            risk_level: self.assess_risk_level(target),
        }
    }

    /// Identify attack vectors
    fn identify_attack_vectors(&self, target: &DeploymentTarget) -> Vec<String> {
        let mut vectors = vec![
            "Network-based attacks".to_string(),
            "Application vulnerabilities".to_string(),
            "Credential compromise".to_string(),
        ];

        match target.deployment_type {
            DeploymentType::Serverless => {
                vectors.push("Function injection".to_string());
            }
            DeploymentType::Container => {
                vectors.extend(vec![
                    "Container runtime exploitation".to_string(),
                    "Registry compromise".to_string(),
                ]);
            }
            DeploymentType::VirtualMachine => {
                vectors.extend(vec![
                    "Hypervisor exploitation".to_string(),
                    "Guest OS compromise".to_string(),
                ]);
            }
            DeploymentType::BareMetalEmbedded => {
                vectors.extend(vec![
                    "Physical access".to_string(),
                    "Hardware manipulation".to_string(),
                ]);
            }
        }

        vectors
    }

    /// Generate mitigation strategies
    fn generate_mitigation_strategies(&self, target: &DeploymentTarget) -> Vec<String> {
        let mut strategies = vec![
            "Input validation".to_string(),
            "Authentication and authorization".to_string(),
            "Encryption".to_string(),
            "Regular updates".to_string(),
        ];

        match target.deployment_type {
            DeploymentType::Serverless => {
                strategies.extend(vec![
                    "Function isolation".to_string(),
                    "Runtime security".to_string(),
                ]);
            }
            DeploymentType::Container => {
                strategies.extend(vec![
                    "Image scanning".to_string(),
                    "Runtime protection".to_string(),
                    "Network policies".to_string(),
                ]);
            }
            DeploymentType::VirtualMachine => {
                strategies.extend(vec![
                    "Host hardening".to_string(),
                    "Network segmentation".to_string(),
                    "Intrusion detection".to_string(),
                ]);
            }
            DeploymentType::BareMetalEmbedded => {
                strategies.extend(vec![
                    "Physical security".to_string(),
                    "Hardware security modules".to_string(),
                    "Tamper detection".to_string(),
                ]);
            }
        }

        strategies
    }

    /// Assess risk level
    fn assess_risk_level(&self, target: &DeploymentTarget) -> RiskLevel {
        match target.deployment_type {
            DeploymentType::Serverless => RiskLevel::Low,    // Managed security
            DeploymentType::Container => RiskLevel::Medium,  // Some shared responsibility
            DeploymentType::VirtualMachine => RiskLevel::Medium, // Traditional security model
            DeploymentType::BareMetalEmbedded => RiskLevel::High, // Full responsibility
        }
    }

    /// Initialize deployment targets
    fn initialize_deployment_targets(&mut self) {
        // AWS Lambda
        self.target_database.insert(
            "aws-lambda".to_string(),
            DeploymentTarget {
                platform: "x86_64-unknown-linux-gnu".to_string(),
                deployment_type: DeploymentType::Serverless,
                auto_scaling: true,
                managed_infrastructure: true,
                serverless: true,
                cold_start_latency: Duration::from_millis(100),
                max_execution_time: Duration::from_secs(900),
                memory_limits: (128, 10240), // MB
            },
        );

        // Kubernetes
        self.target_database.insert(
            "kubernetes".to_string(),
            DeploymentTarget {
                platform: "x86_64-unknown-linux-gnu".to_string(),
                deployment_type: DeploymentType::Container,
                auto_scaling: true,
                managed_infrastructure: false,
                serverless: false,
                cold_start_latency: Duration::from_secs(10),
                max_execution_time: Duration::MAX,
                memory_limits: (1, 1024 * 1024), // MB
            },
        );

        // Azure Functions
        self.target_database.insert(
            "azure-functions".to_string(),
            DeploymentTarget {
                platform: "x86_64-pc-windows-msvc".to_string(),
                deployment_type: DeploymentType::Serverless,
                auto_scaling: true,
                managed_infrastructure: true,
                serverless: true,
                cold_start_latency: Duration::from_millis(200),
                max_execution_time: Duration::from_secs(600),
                memory_limits: (128, 4096), // MB
            },
        );

        // Google Cloud Run
        self.target_database.insert(
            "google-cloud-run".to_string(),
            DeploymentTarget {
                platform: "x86_64-unknown-linux-gnu".to_string(),
                deployment_type: DeploymentType::Container,
                auto_scaling: true,
                managed_infrastructure: true,
                serverless: true,
                cold_start_latency: Duration::from_millis(500),
                max_execution_time: Duration::from_secs(3600),
                memory_limits: (128, 32768), // MB
            },
        );

        // Docker Container
        self.target_database.insert(
            "docker-container".to_string(),
            DeploymentTarget {
                platform: "x86_64-unknown-linux-gnu".to_string(),
                deployment_type: DeploymentType::Container,
                auto_scaling: false,
                managed_infrastructure: false,
                serverless: false,
                cold_start_latency: Duration::from_secs(5),
                max_execution_time: Duration::MAX,
                memory_limits: (4, 512 * 1024), // MB
            },
        );

        // EC2 Virtual Machine
        self.target_database.insert(
            "aws-ec2".to_string(),
            DeploymentTarget {
                platform: "x86_64-unknown-linux-gnu".to_string(),
                deployment_type: DeploymentType::VirtualMachine,
                auto_scaling: true,
                managed_infrastructure: false,
                serverless: false,
                cold_start_latency: Duration::from_secs(120),
                max_execution_time: Duration::MAX,
                memory_limits: (512, 768 * 1024), // MB
            },
        );

        // Bare Metal
        self.target_database.insert(
            "bare-metal".to_string(),
            DeploymentTarget {
                platform: "x86_64-unknown-linux-gnu".to_string(),
                deployment_type: DeploymentType::BareMetalEmbedded,
                auto_scaling: false,
                managed_infrastructure: false,
                serverless: false,
                cold_start_latency: Duration::from_secs(300),
                max_execution_time: Duration::MAX,
                memory_limits: (1024, 2048 * 1024), // MB
            },
        );

        // Edge Computing
        self.target_database.insert(
            "edge-computing".to_string(),
            DeploymentTarget {
                platform: "aarch64-unknown-linux-gnu".to_string(),
                deployment_type: DeploymentType::BareMetalEmbedded,
                auto_scaling: false,
                managed_infrastructure: false,
                serverless: false,
                cold_start_latency: Duration::from_secs(60),
                max_execution_time: Duration::MAX,
                memory_limits: (64, 4096), // MB
            },
        );
    }

    /// Initialize optimization strategies
    fn initialize_optimization_strategies(&mut self) {
        // AWS Lambda strategies
        self.optimization_strategies.insert(
            "aws-lambda".to_string(),
            vec![
                OptimizationStrategy {
                    name: "Cold Start Optimization".to_string(),
                    description: "Reduce binary size and initialization time".to_string(),
                    implementation: "Use strip and upx for binary compression, lazy initialization".to_string(),
                    expected_benefit: "50% reduction in cold start time".to_string(),
                    complexity: ImplementationEffort::Moderate,
                    cost_impact: -20.0, // 20% cost reduction
                },
                OptimizationStrategy {
                    name: "Memory Optimization".to_string(),
                    description: "Optimize memory usage for cost efficiency".to_string(),
                    implementation: "Use lazy initialization and memory pools".to_string(),
                    expected_benefit: "30% reduction in memory costs".to_string(),
                    complexity: ImplementationEffort::Low,
                    cost_impact: -30.0,
                },
                OptimizationStrategy {
                    name: "Provisioned Concurrency".to_string(),
                    description: "Eliminate cold starts for critical functions".to_string(),
                    implementation: "Configure provisioned concurrency for hot functions".to_string(),
                    expected_benefit: "Zero cold start latency".to_string(),
                    complexity: ImplementationEffort::Low,
                    cost_impact: 50.0, // Increases cost but improves performance
                },
            ],
        );

        // Kubernetes strategies
        self.optimization_strategies.insert(
            "kubernetes".to_string(),
            vec![
                OptimizationStrategy {
                    name: "Multi-stage Docker Build".to_string(),
                    description: "Minimize container image size".to_string(),
                    implementation: "Use multi-stage builds with minimal base images".to_string(),
                    expected_benefit: "70% smaller image size, faster deployments".to_string(),
                    complexity: ImplementationEffort::Moderate,
                    cost_impact: -15.0,
                },
                OptimizationStrategy {
                    name: "Horizontal Pod Autoscaling".to_string(),
                    description: "Automatic scaling based on metrics".to_string(),
                    implementation: "Configure HPA with custom metrics".to_string(),
                    expected_benefit: "Automatic capacity management".to_string(),
                    complexity: ImplementationEffort::Moderate,
                    cost_impact: -25.0,
                },
                OptimizationStrategy {
                    name: "Resource Optimization".to_string(),
                    description: "Right-size resource requests and limits".to_string(),
                    implementation: "Use VPA and monitoring to optimize resources".to_string(),
                    expected_benefit: "40% reduction in resource waste".to_string(),
                    complexity: ImplementationEffort::High,
                    cost_impact: -40.0,
                },
            ],
        );

        // Add strategies for other deployment types...
        self.add_container_strategies();
        self.add_vm_strategies();
        self.add_bare_metal_strategies();
    }

    /// Add container-specific strategies
    fn add_container_strategies(&mut self) {
        self.optimization_strategies.insert(
            "docker-container".to_string(),
            vec![
                OptimizationStrategy {
                    name: "Image Layering Optimization".to_string(),
                    description: "Optimize Docker layers for caching".to_string(),
                    implementation: "Order layers by change frequency, use .dockerignore".to_string(),
                    expected_benefit: "50% faster builds".to_string(),
                    complexity: ImplementationEffort::Low,
                    cost_impact: -10.0,
                },
                OptimizationStrategy {
                    name: "Security Hardening".to_string(),
                    description: "Implement container security best practices".to_string(),
                    implementation: "Non-root user, read-only filesystem, minimal packages".to_string(),
                    expected_benefit: "Improved security posture".to_string(),
                    complexity: ImplementationEffort::Moderate,
                    cost_impact: 0.0,
                },
            ],
        );
    }

    /// Add VM-specific strategies
    fn add_vm_strategies(&mut self) {
        self.optimization_strategies.insert(
            "aws-ec2".to_string(),
            vec![
                OptimizationStrategy {
                    name: "Instance Right-sizing".to_string(),
                    description: "Match instance type to workload requirements".to_string(),
                    implementation: "Use AWS Compute Optimizer recommendations".to_string(),
                    expected_benefit: "30% cost reduction".to_string(),
                    complexity: ImplementationEffort::Low,
                    cost_impact: -30.0,
                },
                OptimizationStrategy {
                    name: "Spot Instance Integration".to_string(),
                    description: "Use spot instances for cost savings".to_string(),
                    implementation: "Implement fault-tolerant architecture with spot instances".to_string(),
                    expected_benefit: "70% cost reduction".to_string(),
                    complexity: ImplementationEffort::High,
                    cost_impact: -70.0,
                },
            ],
        );
    }

    /// Add bare metal strategies
    fn add_bare_metal_strategies(&mut self) {
        self.optimization_strategies.insert(
            "bare-metal".to_string(),
            vec![
                OptimizationStrategy {
                    name: "CPU Optimization".to_string(),
                    description: "Hardware-specific optimizations".to_string(),
                    implementation: "Use target-cpu=native, SIMD optimizations".to_string(),
                    expected_benefit: "200% performance improvement".to_string(),
                    complexity: ImplementationEffort::High,
                    cost_impact: 0.0,
                },
                OptimizationStrategy {
                    name: "Memory Management".to_string(),
                    description: "Custom memory allocation strategies".to_string(),
                    implementation: "NUMA-aware allocation, huge pages".to_string(),
                    expected_benefit: "30% memory performance improvement".to_string(),
                    complexity: ImplementationEffort::VeryHigh,
                    cost_impact: 0.0,
                },
            ],
        );
    }

    /// Initialize cost models
    fn initialize_cost_models(&mut self) {
        self.cost_models.insert(
            "Serverless".to_string(),
            CostModel {
                base_cost: 10.0,
                data_transfer_cost: 0.09,
                storage_cost: 0.023,
                compute_cost_per_hour: 0.0000166667, // Lambda pricing
                network_cost_per_gb: 0.09,
            },
        );

        self.cost_models.insert(
            "Container".to_string(),
            CostModel {
                base_cost: 50.0,
                data_transfer_cost: 0.09,
                storage_cost: 0.10,
                compute_cost_per_hour: 0.5,
                network_cost_per_gb: 0.09,
            },
        );

        self.cost_models.insert(
            "VirtualMachine".to_string(),
            CostModel {
                base_cost: 100.0,
                data_transfer_cost: 0.09,
                storage_cost: 0.045,
                compute_cost_per_hour: 1.0,
                network_cost_per_gb: 0.09,
            },
        );

        self.cost_models.insert(
            "BareMetalEmbedded".to_string(),
            CostModel {
                base_cost: 200.0,
                data_transfer_cost: 0.05,
                storage_cost: 0.02,
                compute_cost_per_hour: 2.0,
                network_cost_per_gb: 0.05,
            },
        );
    }
}

impl Default for DeploymentAnalyzer {
    fn default() -> Self {
        Self::new()
    }
}

// ================================================================================
// DEPLOYMENT STRUCTURES
// ================================================================================

/// Deployment target information
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DeploymentTarget {
    /// Target platform
    pub platform: String,
    /// Deployment type
    pub deployment_type: DeploymentType,
    /// Auto-scaling capability
    pub auto_scaling: bool,
    /// Managed infrastructure
    pub managed_infrastructure: bool,
    /// Serverless execution model
    pub serverless: bool,
    /// Cold start latency
    pub cold_start_latency: Duration,
    /// Maximum execution time
    pub max_execution_time: Duration,
    /// Memory limits (min, max) in MB
    pub memory_limits: (u32, u32),
}

/// Deployment types
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub enum DeploymentType {
    /// Serverless function
    Serverless,
    /// Container deployment
    Container,
    /// Virtual machine
    VirtualMachine,
    /// Bare metal or embedded
    BareMetalEmbedded,
}

impl ToString for DeploymentType {
    fn to_string(&self) -> String {
        match self {
            DeploymentType::Serverless => "Serverless".to_string(),
            DeploymentType::Container => "Container".to_string(),
            DeploymentType::VirtualMachine => "VirtualMachine".to_string(),
            DeploymentType::BareMetalEmbedded => "BareMetalEmbedded".to_string(),
        }
    }
}

/// Deployment suitability assessment
#[derive(Debug, Clone)]
pub struct DeploymentSuitability {
    /// Suitability score (0.0 to 1.0)
    pub score: f64,
    /// Benefits of this deployment target
    pub benefits: Vec<String>,
    /// Challenges or limitations
    pub challenges: Vec<String>,
}

/// Deployment recommendation
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DeploymentRecommendation {
    /// Target name
    pub target: String,
    /// Suitability score
    pub suitability_score: f64,
    /// Benefits
    pub benefits: Vec<String>,
    /// Challenges
    pub challenges: Vec<String>,
    /// Optimization strategies
    pub optimization_strategies: Vec<OptimizationStrategy>,
    /// Estimated cost
    pub estimated_cost: DeploymentCost,
    /// Scalability assessment
    pub scalability_assessment: ScalabilityAssessment,
    /// Deployment complexity
    pub deployment_complexity: DeploymentComplexity,
    /// Monitoring requirements
    pub monitoring_requirements: MonitoringRequirements,
    /// Security considerations
    pub security_considerations: SecurityConsiderations,
}

/// Optimization strategy
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OptimizationStrategy {
    /// Strategy name
    pub name: String,
    /// Description
    pub description: String,
    /// Implementation details
    pub implementation: String,
    /// Expected benefit
    pub expected_benefit: String,
    /// Implementation complexity
    pub complexity: ImplementationEffort,
    /// Cost impact (positive = cost increase, negative = cost reduction)
    pub cost_impact: f64,
}

/// Deployment cost estimation
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DeploymentCost {
    /// Monthly base cost in USD
    pub monthly_base_cost: f64,
    /// Scaling cost factor
    pub scaling_cost_factor: f64,
    /// Data transfer cost per GB
    pub data_transfer_cost: f64,
    /// Storage cost per GB/month
    pub storage_cost: f64,
    /// Compute cost per hour
    pub compute_cost_per_hour: f64,
    /// Network cost per GB
    pub network_cost_per_gb: f64,
}

/// Scalability assessment
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ScalabilityAssessment {
    /// Horizontal scaling support
    pub horizontal_scaling: bool,
    /// Vertical scaling support
    pub vertical_scaling: bool,
    /// Scaling latency
    pub scaling_latency: Duration,
    /// Maximum instances
    pub max_instances: u32,
    /// Cost efficiency score
    pub cost_efficiency: f64,
    /// Elasticity score (0.0 to 1.0)
    pub elasticity_score: f64,
    /// Resource efficiency score (0.0 to 1.0)
    pub resource_efficiency: f64,
}

/// Deployment complexity assessment
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DeploymentComplexity {
    /// Complexity score (0.0 to 1.0, higher is more complex)
    pub complexity_score: f64,
    /// Required setup steps
    pub setup_requirements: Vec<String>,
    /// Maintenance overhead (0.0 to 1.0)
    pub maintenance_overhead: f64,
    /// Required expertise areas
    pub required_expertise: Vec<String>,
    /// Estimated deployment time
    pub deployment_time_estimate: Duration,
}

/// Monitoring requirements
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MonitoringRequirements {
    /// Required metrics to monitor
    pub metrics: Vec<String>,
    /// Logging requirements
    pub logging_requirements: Vec<String>,
    /// Alerting rules
    pub alerting_rules: Vec<String>,
    /// Recommended monitoring tools
    pub monitoring_tools: Vec<String>,
    /// Health check interval
    pub health_check_interval: Duration,
}

/// Security considerations
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SecurityConsiderations {
    /// Available security features
    pub security_features: Vec<String>,
    /// Security risks
    pub security_risks: Vec<String>,
    /// Compliance requirements
    pub compliance_requirements: Vec<String>,
    /// Security recommendations
    pub security_recommendations: Vec<String>,
    /// Threat model
    pub threat_model: ThreatModel,
}

/// Threat model
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ThreatModel {
    /// Identified threats
    pub threats: Vec<String>,
    /// Attack vectors
    pub attack_vectors: Vec<String>,
    /// Mitigation strategies
    pub mitigation_strategies: Vec<String>,
    /// Overall risk level
    pub risk_level: RiskLevel,
}

/// Risk level assessment
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum RiskLevel {
    /// Low risk
    Low,
    /// Medium risk
    Medium,
    /// High risk
    High,
    /// Critical risk
    Critical,
}

/// Cost model for deployment type
#[derive(Debug, Clone)]
pub struct CostModel {
    /// Base monthly cost
    pub base_cost: f64,
    /// Data transfer cost per GB
    pub data_transfer_cost: f64,
    /// Storage cost per GB/month
    pub storage_cost: f64,
    /// Compute cost per hour
    pub compute_cost_per_hour: f64,
    /// Network cost per GB
    pub network_cost_per_gb: f64,
}