inferno-ai 0.10.3

#![allow(dead_code)]
use crate::config::Config;
use crate::performance_optimization::{
    PerformanceOptimizationConfig, PerformanceOptimizationSystem,
};
use anyhow::Result;
use clap::{Args, Subcommand};
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::path::PathBuf;

// Valid values for validation
const VALID_AUTOTUNE_STRATEGIES: &[&str] = &["grid", "random", "bayesian"];
const VALID_REPORT_TIME_RANGES: &[&str] = &["1h", "24h", "7d", "30d"];
const VALID_REPORT_FORMATS: &[&str] = &["html", "json", "pdf", "markdown"];
const VALID_OUTPUT_FORMATS: &[&str] = &["json", "table", "csv"];

// Helper data structures for CLI operations
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ProfileAnalysisResult {
    pub cpu_usage: f64,
    pub memory_usage: u64,
    pub io_operations: u64,
    pub network_bytes: u64,
    pub recommendations: Vec<String>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ProfileInfo {
    pub name: String,
    pub status: String,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ProfileComparison {
    pub cpu_diff: f64,
    pub memory_diff: i64,
    pub io_diff: i64,
    pub network_diff: i64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OptimizationResultExt {
    pub performance_gain: f64,
    pub resource_reduction: f64,
    pub changes_applied: u32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OptimizationHistoryEntry {
    pub timestamp: String,
    pub target: String,
    pub performance_gain: f64,
    pub resource_reduction: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OptimizationPlan {
    pub steps: Vec<OptimizationStep>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OptimizationStep {
    pub order: u32,
    pub description: String,
    pub estimated_gain: f64,
    pub estimated_time: u32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AutoTuningProgress {
    pub current_iteration: u32,
    pub max_iterations: u32,
    pub best_score: f64,
    pub current_score: f64,
    pub improvement: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ResourceStats {
    pub cpu_usage: f64,
    pub memory_used: u64,
    pub memory_total: u64,
    pub gpu_usage: f64,
    pub io_rate: u64,
    pub network_rate: u64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ResourceReport {
    pub period: String,
    pub cpu_hours: f64,
    pub memory_gb_hours: f64,
    pub gpu_hours: f64,
    pub io_gb: f64,
    pub network_gb: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CacheStatsExt {
    pub hit_rate: f64,
    pub miss_rate: f64,
    pub eviction_rate: f64,
    pub used_size: u64,
    pub total_size: u64,
    pub total_hits: u64,
    pub total_misses: u64,
    pub total_evictions: u64,
    pub avg_latency_us: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CacheAnalysis {
    pub efficiency_score: f64,
    pub memory_efficiency: f64,
    pub access_pattern: String,
    pub recommendations: Vec<String>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ParallelStats {
    pub active_workers: u32,
    pub queue_length: u32,
    pub tasks_completed: u64,
    pub avg_task_time_ms: f64,
    pub bottlenecks: Vec<Bottleneck>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Bottleneck {
    pub name: String,
    pub impact: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ParallelOptResult {
    pub throughput_gain: f64,
    pub latency_reduction: f64,
    pub optimal_workers: u32,
    pub optimal_queue_size: u32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TaskDistributionAnalysis {
    pub balance_score: f64,
    pub worker_utilization: f64,
    pub queue_efficiency: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryStatsExt {
    pub used: u64,
    pub free: u64,
    pub total: u64,
    pub fragmentation: f64,
    pub heap_profile: HashMap<String, u64>,
    pub total_allocations: u64,
    pub total_deallocations: u64,
    pub live_objects: u64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryOptResult {
    pub memory_saved: u64,
    pub reduction_percentage: f64,
    pub compression_ratio: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryLeak {
    pub location: String,
    pub size: u64,
    pub count: u32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryPressureResult {
    pub peak_usage: u64,
    pub avg_usage: u64,
    pub oom_events: u32,
    pub performance_impact: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct IoStatsExt {
    pub read_ops: u64,
    pub write_ops: u64,
    pub read_throughput: u64,
    pub write_throughput: u64,
    pub read_latency_ms: f64,
    pub write_latency_ms: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct IoTestResult {
    pub read_iops: u64,
    pub write_iops: u64,
    pub read_bandwidth: u64,
    pub write_bandwidth: u64,
    pub avg_latency_ms: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct NetworkStatsExt {
    pub packets_sent: u64,
    pub packets_received: u64,
    pub bytes_sent: u64,
    pub bytes_received: u64,
    pub upload_bandwidth: u64,
    pub download_bandwidth: u64,
    pub avg_latency_ms: f64,
    pub min_latency_ms: f64,
    pub max_latency_ms: f64,
    pub send_errors: u64,
    pub receive_errors: u64,
    pub dropped_packets: u64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct NetworkTestResult {
    pub throughput: u64,
    pub latency_ms: f64,
    pub packet_loss: f64,
    pub jitter_ms: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ModelOptResult {
    pub original_size: u64,
    pub quantized_size: u64,
    pub compression_ratio: f64,
    pub accuracy_loss: f64,
    pub parameters_removed: f64,
    pub size_reduction: u64,
    pub speed_improvement: f64,
    pub accuracy_impact: f64,
    pub student_size: u64,
    pub knowledge_transfer: f64,
    pub operations_fused: u32,
    pub latency_reduction: f64,
    pub memory_reduction: f64,
    pub backend: String,
    pub optimization_level: String,
    pub expected_speedup: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BenchmarkResult {
    pub name: String,
    pub throughput: f64,
    pub latency_p50: f64,
    pub latency_p99: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BenchmarkComparison {
    pub throughput_change: f64,
    pub latency_change: f64,
    pub memory_change: f64,
}

impl BenchmarkComparison {
    pub fn has_regression(&self, threshold: f64) -> bool {
        self.throughput_change < -threshold
            || self.latency_change > threshold
            || self.memory_change > threshold
    }
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceStatus {
    pub cpu_usage: f64,
    pub memory_used: u64,
    pub memory_total: u64,
    pub gpu_usage: f64,
    pub performance_score: f64,
    pub efficiency_score: f64,
    pub active_optimizations: u32,
    pub cache_hit_rate: f64,
    pub task_parallelism: f64,
    pub io_efficiency: f64,
    pub network_efficiency: f64,
    pub avg_24h_score: f64,
    pub avg_7d_score: f64,
    pub avg_30d_score: f64,
    pub current_throughput: f64,
    pub current_latency_ms: f64,
    pub active_workers: u32,
    pub queue_length: u32,
}

// Helper function to parse key=value pairs
fn parse_key_value_pairs(pairs: Option<Vec<String>>) -> HashMap<String, String> {
    pairs
        .unwrap_or_default()
        .iter()
        .filter_map(|s| {
            let parts: Vec<&str> = s.splitn(2, '=').collect();
            if parts.len() == 2 {
                Some((parts[0].to_string(), parts[1].to_string()))
            } else {
                None
            }
        })
        .collect()
}

#[derive(Args)]
pub struct PerformanceOptimizationArgs {
    #[command(subcommand)]
    pub command: PerformanceCommand,
}

#[derive(Subcommand)]
pub enum PerformanceCommand {
    #[command(about = "Performance profiling commands")]
    Profile {
        #[command(subcommand)]
        command: ProfileCommand,
    },

    #[command(about = "Performance optimization commands")]
    Optimize {
        #[command(subcommand)]
        command: OptimizeCommand,
    },

    #[command(about = "Auto-tuning commands")]
    AutoTune {
        #[command(subcommand)]
        command: AutoTuneCommand,
    },

    #[command(about = "Resource management commands")]
    Resources {
        #[command(subcommand)]
        command: ResourceCommand,
    },

    #[command(about = "Cache optimization commands")]
    Cache {
        #[command(subcommand)]
        command: CacheCommand,
    },

    #[command(about = "Parallel processing commands")]
    Parallel {
        #[command(subcommand)]
        command: ParallelCommand,
    },

    #[command(about = "Memory optimization commands")]
    Memory {
        #[command(subcommand)]
        command: MemoryCommand,
    },

    #[command(about = "I/O optimization commands")]
    IO {
        #[command(subcommand)]
        command: IOCommand,
    },

    #[command(about = "Network optimization commands")]
    Network {
        #[command(subcommand)]
        command: NetworkCommand,
    },

    #[command(about = "Model optimization commands")]
    Model {
        #[command(subcommand)]
        command: ModelCommand,
    },

    #[command(about = "Benchmarking commands")]
    Benchmark {
        #[command(subcommand)]
        command: BenchmarkCommand,
    },

    #[command(about = "Performance status")]
    Status {
        #[arg(long, help = "Show detailed metrics")]
        detailed: bool,

        #[arg(long, help = "Output format (json, table, csv)")]
        format: Option<String>,

        #[arg(long, help = "Auto-refresh interval")]
        refresh: Option<u64>,

        #[arg(long, help = "Show historical performance")]
        history: bool,

        #[arg(long, help = "Real-time monitoring")]
        realtime: bool,
    },
}

#[derive(Subcommand)]
pub enum ProfileCommand {
    #[command(about = "Start profiling session")]
    Start {
        #[arg(long, help = "Session name")]
        name: String,

        #[arg(long, help = "Profile type")]
        profile_type: Option<String>,

        #[arg(long, help = "Duration in seconds")]
        duration: Option<u64>,

        #[arg(long, help = "Sample rate")]
        sample_rate: Option<u32>,

        #[arg(long, help = "Profile CPU usage")]
        cpu: bool,

        #[arg(long, help = "Profile memory usage")]
        memory: bool,

        #[arg(long, help = "Profile I/O operations")]
        io: bool,

        #[arg(long, help = "Profile network activity")]
        network: bool,

        #[arg(long, help = "Profile GPU usage")]
        gpu: bool,
    },

    #[command(about = "Stop profiling session")]
    Stop {
        #[arg(long, help = "Session name")]
        name: Option<String>,

        #[arg(long, help = "Output file")]
        output: Option<PathBuf>,
    },

    #[command(about = "Analyze profile")]
    Analyze {
        #[arg(long, help = "Profile name or file")]
        profile: String,

        #[arg(long, help = "Analysis depth")]
        depth: Option<u32>,

        #[arg(long, help = "Generate recommendations")]
        recommend: bool,

        #[arg(long, help = "Baseline profile for comparison")]
        baseline: Option<String>,

        #[arg(long, help = "Export analysis")]
        export: Option<PathBuf>,
    },

    #[command(about = "List profiles")]
    List {
        #[arg(long, help = "Filter by status")]
        status: Option<String>,

        #[arg(long, help = "Show all profiles")]
        all: bool,
    },

    #[command(about = "Compare profiles")]
    Compare {
        #[arg(long, help = "First profile")]
        profile1: String,

        #[arg(long, help = "Second profile")]
        profile2: String,

        #[arg(long, help = "Include detailed metrics")]
        metrics: bool,

        #[arg(long, help = "Output format")]
        format: Option<String>,
    },
}

#[derive(Subcommand)]
pub enum OptimizeCommand {
    #[command(about = "Run optimization")]
    Run {
        #[arg(long, help = "Optimization target")]
        target: String,

        #[arg(long, help = "Optimization level")]
        level: Option<String>,

        #[arg(long, help = "Strategy")]
        strategy: Option<String>,

        #[arg(long, help = "Dry run mode")]
        dry_run: bool,

        #[arg(long, help = "Force optimization")]
        force: bool,

        #[arg(long, help = "Override parameters as key=value pairs")]
        overrides: Option<Vec<String>>,
    },

    #[command(about = "Apply optimization preset")]
    Preset {
        #[arg(long, help = "Preset name")]
        name: String,

        #[arg(long, help = "Target models")]
        models: Option<Vec<String>>,

        #[arg(long, help = "Show available presets")]
        list: bool,
    },

    #[command(about = "Rollback optimization")]
    Rollback {
        #[arg(long, help = "Optimization ID")]
        id: String,

        #[arg(long, help = "Rollback point")]
        point: Option<String>,

        #[arg(long, help = "Force rollback")]
        force: bool,
    },

    #[command(about = "List optimization history")]
    History {
        #[arg(long, help = "Number of entries")]
        limit: Option<usize>,

        #[arg(long, help = "Show metrics")]
        metrics: bool,

        #[arg(long, help = "Export history")]
        export: Option<PathBuf>,
    },

    #[command(about = "Create optimization plan")]
    Plan {
        #[arg(long, help = "Optimization targets")]
        targets: Vec<String>,

        #[arg(long, help = "Budget constraints")]
        budget: Option<String>,

        #[arg(long, help = "Time limit")]
        time_limit: Option<u64>,

        #[arg(long, help = "Show plan details")]
        detailed: bool,
    },
}

#[derive(Subcommand)]
pub enum AutoTuneCommand {
    #[command(about = "Start auto-tuning")]
    Start {
        #[arg(long, help = "Configuration file")]
        config: Option<PathBuf>,

        #[arg(long, help = "Algorithm to use")]
        algorithm: Option<String>,

        #[arg(long, help = "Maximum iterations")]
        max_iterations: Option<u32>,

        #[arg(long, help = "Tuning target")]
        target: Option<String>,

        #[arg(long, help = "Exploration factor")]
        exploration: Option<f64>,

        #[arg(long, help = "Run in background")]
        background: bool,
    },

    #[command(about = "Show auto-tuning progress")]
    Progress {
        #[arg(long, help = "Session ID")]
        id: String,

        #[arg(long, help = "Show progress graph")]
        graph: bool,

        #[arg(long, help = "Refresh interval")]
        refresh: Option<u64>,
    },

    #[command(about = "Stop auto-tuning")]
    Stop {
        #[arg(long, help = "Session ID")]
        id: String,

        #[arg(long, help = "Save results")]
        save: bool,
    },

    #[command(about = "List auto-tuning sessions")]
    List {
        #[arg(long, help = "Show active only")]
        active: bool,

        #[arg(long, help = "Show details")]
        detailed: bool,
    },

    #[command(about = "Validate auto-tuning results")]
    Validate {
        #[arg(long, help = "Session ID")]
        id: String,
    },

    #[command(about = "Apply auto-tuning results")]
    Apply {
        #[arg(long, help = "Session ID")]
        id: String,

        #[arg(long, help = "Apply best configuration")]
        best: bool,
    },

    #[command(about = "Export auto-tuning configuration")]
    Export {
        #[arg(long, help = "Session ID")]
        id: String,

        #[arg(long, help = "Include history")]
        history: bool,

        #[arg(long, help = "Output file")]
        output: Option<PathBuf>,
    },
}

#[derive(Subcommand)]
pub enum ResourceCommand {
    #[command(about = "Show resource usage")]
    Usage {
        #[arg(long, help = "Resource type")]
        resource_type: Option<String>,

        #[arg(long, help = "Time window")]
        window: Option<String>,

        #[arg(long, help = "Show historical data")]
        history: bool,

        #[arg(long, help = "Continuous monitoring")]
        monitor: bool,

        #[arg(long, help = "Refresh interval")]
        interval: Option<u64>,

        #[arg(long, help = "Alert thresholds as key=value pairs")]
        alerts: Option<Vec<String>>,
    },

    #[command(about = "Set resource limits")]
    Limit {
        #[arg(long, help = "CPU limit")]
        cpu: Option<u32>,

        #[arg(long, help = "Memory limit (MB)")]
        memory: Option<u64>,

        #[arg(long, help = "GPU memory limit (MB)")]
        gpu_memory: Option<u64>,

        #[arg(long, help = "I/O bandwidth limit")]
        io_bandwidth: Option<u64>,

        #[arg(long, help = "Network bandwidth limit")]
        network_bandwidth: Option<u64>,
    },

    #[command(about = "Configure auto-scaling")]
    AutoScale {
        #[arg(long, help = "Enable auto-scaling")]
        enable: bool,

        #[arg(long, help = "Scaling policy")]
        policy: Option<String>,

        #[arg(long, help = "Min resources as key=value pairs")]
        min: Option<Vec<String>>,

        #[arg(long, help = "Max resources as key=value pairs")]
        max: Option<Vec<String>>,

        #[arg(long, help = "Scale up threshold")]
        scale_up: Option<f64>,

        #[arg(long, help = "Scale down threshold")]
        scale_down: Option<f64>,
    },

    #[command(about = "Allocate resources")]
    Allocate {
        #[arg(long, help = "Resource target")]
        target: String,

        #[arg(long, help = "Resource specifications as key=value pairs")]
        specs: Vec<String>,

        #[arg(long, help = "Priority")]
        priority: Option<u8>,
    },

    #[command(about = "Generate resource report")]
    Report {
        #[arg(long, help = "Report period")]
        period: Option<String>,

        #[arg(long, help = "Group by")]
        group_by: Option<String>,

        #[arg(long, help = "Export format")]
        format: Option<String>,

        #[arg(long, help = "Output file")]
        output: Option<PathBuf>,
    },
}

#[derive(Subcommand)]
pub enum CacheCommand {
    #[command(about = "Show cache statistics")]
    Stats {
        #[arg(long, help = "Cache level")]
        level: Option<String>,

        #[arg(long, help = "Show detailed stats")]
        detailed: bool,

        #[arg(long, help = "Historical data")]
        history: bool,
    },

    #[command(about = "Clear cache")]
    Clear {
        #[arg(long, help = "Cache level")]
        level: Option<String>,

        #[arg(long, help = "Pattern to match")]
        pattern: Option<String>,

        #[arg(long, help = "Force clear")]
        force: bool,
    },

    #[command(about = "Warm up cache")]
    Warmup {
        #[arg(long, help = "Models to warm up")]
        models: Option<Vec<String>>,

        #[arg(long, help = "Patterns file")]
        patterns: Option<PathBuf>,

        #[arg(long, help = "Parallel warmup")]
        parallel: bool,
    },

    #[command(about = "Configure cache policy")]
    Policy {
        #[arg(long, help = "Cache policy")]
        policy: String,

        #[arg(long, help = "Policy parameters")]
        parameters: Option<Vec<String>>,

        #[arg(long, help = "Apply to level")]
        level: Option<String>,
    },

    #[command(about = "Analyze cache performance")]
    Analyze {
        #[arg(long, help = "Analysis period")]
        period: Option<String>,

        #[arg(long, help = "Generate recommendations")]
        recommend: bool,

        #[arg(long, help = "Export analysis")]
        export: Option<PathBuf>,
    },
}

#[derive(Subcommand)]
pub enum ParallelCommand {
    #[command(about = "Configure parallel processing")]
    Config {
        #[arg(long, help = "Number of workers")]
        workers: Option<u32>,

        #[arg(long, help = "Queue size")]
        queue_size: Option<u32>,

        #[arg(long, help = "Task timeout")]
        timeout: Option<u64>,

        #[arg(long, help = "Load balancing strategy")]
        strategy: Option<String>,
    },

    #[command(about = "Show parallel processing statistics")]
    Stats {
        #[arg(long, help = "Show task details")]
        tasks: bool,

        #[arg(long, help = "Show bottlenecks")]
        bottlenecks: bool,
    },

    #[command(about = "Optimize parallel processing")]
    Optimize {
        #[arg(long, help = "Target throughput")]
        throughput: Option<f64>,

        #[arg(long, help = "Target latency (ms)")]
        latency: Option<u64>,

        #[arg(long, help = "Auto-optimize")]
        auto: bool,
    },

    #[command(about = "Analyze task distribution")]
    Analyze {
        #[arg(long, help = "Time window")]
        window: Option<String>,

        #[arg(long, help = "Show recommendations")]
        recommend: bool,
    },
}

#[derive(Subcommand)]
pub enum MemoryCommand {
    #[command(about = "Show memory statistics")]
    Stats {
        #[arg(long, help = "Show heap profile")]
        heap: bool,

        #[arg(long, help = "Show allocation stats")]
        allocations: bool,

        #[arg(long, help = "Group by")]
        group_by: Option<String>,
    },

    #[command(about = "Configure memory pool")]
    Pool {
        #[arg(long, help = "Pool name")]
        name: String,

        #[arg(long, help = "Pool size")]
        size: Option<u64>,

        #[arg(long, help = "Pre-allocate")]
        preallocate: bool,

        #[arg(long, help = "Growth strategy")]
        growth: Option<String>,
    },

    #[command(about = "Optimize memory usage")]
    Optimize {
        #[arg(long, help = "Target memory usage")]
        target: Option<u64>,

        #[arg(long, help = "Enable compression")]
        compression: bool,

        #[arg(long, help = "Enable deduplication")]
        dedup: bool,

        #[arg(long, help = "Garbage collection strategy")]
        gc: Option<String>,
    },

    #[command(about = "Memory leak detection")]
    Leak {
        #[arg(long, help = "Start detection")]
        start: bool,

        #[arg(long, help = "Stop detection")]
        stop: bool,

        #[arg(long, help = "Analyze current leaks")]
        analyze: bool,
    },

    #[command(about = "Run memory pressure test")]
    Test {
        #[arg(long, help = "Test duration")]
        duration: Option<u64>,

        #[arg(long, help = "Memory pattern")]
        pattern: Option<String>,

        #[arg(long, help = "Target pressure")]
        target: Option<f64>,
    },
}

#[derive(Subcommand)]
pub enum IOCommand {
    #[command(about = "Show I/O statistics")]
    Stats {
        #[arg(long, help = "Device filter")]
        device: Option<String>,

        #[arg(long, help = "Show latency details")]
        latency: bool,

        #[arg(long, help = "Show throughput details")]
        throughput: bool,
    },

    #[command(about = "Configure I/O optimization")]
    Config {
        #[arg(long, help = "Buffer size")]
        buffer_size: Option<usize>,

        #[arg(long, help = "Read-ahead")]
        read_ahead: Option<bool>,

        #[arg(long, help = "Write-behind")]
        write_behind: Option<bool>,

        #[arg(long, help = "I/O queue depth")]
        queue_depth: Option<u32>,
    },

    #[command(about = "I/O scheduling")]
    Schedule {
        #[arg(long, value_enum, help = "Scheduler type")]
        scheduler: Option<String>,

        #[arg(long, help = "Priority levels as key=value pairs")]
        priorities: Option<Vec<String>>,

        #[arg(long, help = "Bandwidth allocation as key=value pairs")]
        bandwidth: Option<Vec<String>>,
    },

    #[command(about = "I/O performance test")]
    Test {
        #[arg(long, help = "Test type")]
        test_type: Option<String>,

        #[arg(long, help = "File size")]
        size: Option<u64>,

        #[arg(long, help = "Block size")]
        block_size: Option<usize>,

        #[arg(long, help = "Test duration")]
        duration: Option<u64>,
    },
}

#[derive(Subcommand)]
pub enum NetworkCommand {
    #[command(about = "Show network statistics")]
    Stats {
        #[arg(long, help = "Network interface")]
        interface: Option<String>,

        #[arg(long, help = "Show latency details")]
        latency: bool,

        #[arg(long, help = "Show bandwidth details")]
        bandwidth: bool,

        #[arg(long, help = "Show error statistics")]
        errors: bool,
    },

    #[command(about = "Configure network optimization")]
    Config {
        #[arg(long, help = "Buffer sizes")]
        buffers: Option<Vec<String>>,

        #[arg(long, help = "TCP window size")]
        window_size: Option<u32>,

        #[arg(long, help = "Keep-alive settings")]
        keep_alive: Option<bool>,

        #[arg(long, help = "Compression")]
        compression: Option<bool>,
    },

    #[command(about = "Connection pool configuration")]
    Pool {
        #[arg(long, help = "Minimum connections")]
        min: Option<usize>,

        #[arg(long, help = "Maximum connections")]
        max: Option<usize>,

        #[arg(long, help = "Idle timeout")]
        idle_timeout: Option<u64>,

        #[arg(long, help = "Connection validation")]
        validation: Option<u64>,
    },

    #[command(about = "Network performance test")]
    Test {
        #[arg(long, help = "Test type")]
        test_type: Option<String>,

        #[arg(long, help = "Target host")]
        host: Option<String>,

        #[arg(long, help = "Test duration")]
        duration: Option<u64>,

        #[arg(long, help = "Parallel connections")]
        parallel: Option<usize>,
    },
}

#[derive(Subcommand)]
pub enum ModelCommand {
    #[command(about = "Model quantization")]
    Quantize {
        #[arg(long, help = "Model name or path")]
        model: String,

        #[arg(long, help = "Quantization type")]
        quant_type: Option<String>,

        #[arg(long, help = "Quantization bits")]
        bits: Option<u8>,

        #[arg(long, help = "Calibration dataset")]
        calibration: Option<PathBuf>,

        #[arg(long, help = "Output path")]
        output: Option<PathBuf>,
    },

    #[command(about = "Model pruning")]
    Prune {
        #[arg(long, help = "Model name or path")]
        model: String,

        #[arg(long, help = "Pruning ratio")]
        ratio: Option<f32>,

        #[arg(long, help = "Pruning method")]
        method: Option<String>,

        #[arg(long, help = "Preserve accuracy")]
        preserve_accuracy: Option<f32>,

        #[arg(long, help = "Output path")]
        output: Option<PathBuf>,
    },

    #[command(about = "Model distillation")]
    Distill {
        #[arg(long, help = "Teacher model")]
        teacher: String,

        #[arg(long, help = "Student model")]
        student: String,

        #[arg(long, help = "Training data")]
        data: PathBuf,

        #[arg(long, help = "Training epochs")]
        epochs: Option<u32>,

        #[arg(long, help = "Output path")]
        output: Option<PathBuf>,
    },

    #[command(about = "Model operation fusion")]
    Fuse {
        #[arg(long, help = "Model name or path")]
        model: String,

        #[arg(long, help = "Fusion patterns")]
        patterns: Option<Vec<String>>,

        #[arg(long, help = "Fusion level")]
        level: Option<u8>,

        #[arg(long, help = "Output path")]
        output: Option<PathBuf>,
    },

    #[command(about = "Model compilation")]
    Compile {
        #[arg(long, help = "Model name or path")]
        model: String,

        #[arg(long, help = "Target backend")]
        backend: Option<String>,

        #[arg(long, help = "Compilation flags")]
        flags: Option<Vec<String>>,

        #[arg(long, help = "Output path")]
        output: Option<PathBuf>,
    },
}

#[derive(Subcommand)]
pub enum BenchmarkCommand {
    #[command(about = "Run benchmark")]
    Run {
        #[arg(long, help = "Benchmark suite")]
        suite: Option<String>,

        #[arg(long, help = "Models to benchmark")]
        models: Option<Vec<String>>,

        #[arg(long, help = "Number of iterations")]
        iterations: Option<u32>,

        #[arg(long, help = "Parallel execution")]
        parallel: bool,

        #[arg(long, help = "Output file")]
        output: Option<PathBuf>,
    },

    #[command(about = "Compare benchmark results")]
    Compare {
        #[arg(long, help = "Baseline benchmark")]
        baseline: String,

        #[arg(long, help = "Comparison benchmark")]
        comparison: String,

        #[arg(long, help = "Metrics to compare")]
        metrics: Option<Vec<String>>,

        #[arg(long, help = "Output format")]
        format: Option<String>,
    },

    #[command(about = "Create benchmark suite")]
    Suite {
        #[arg(long, help = "Suite name")]
        name: String,

        #[arg(long, help = "Configuration file")]
        config: Option<PathBuf>,

        #[arg(long, help = "Test specifications")]
        tests: Option<Vec<String>>,
    },

    #[command(about = "Export benchmark results")]
    Export {
        #[arg(long, help = "Benchmark ID")]
        id: String,

        #[arg(long, help = "Export format")]
        format: Option<String>,

        #[arg(long, help = "Output file")]
        output: Option<PathBuf>,
    },

    #[command(about = "Continuous benchmarking")]
    Continuous {
        #[arg(long, help = "Enable continuous benchmarking")]
        enable: bool,

        #[arg(long, help = "Schedule")]
        schedule: Option<String>,

        #[arg(long, help = "Regression detection")]
        detect_regression: bool,

        #[arg(long, help = "Alert thresholds as key=value pairs")]
        alerts: Option<Vec<String>>,
    },
}

/// Validate performance optimization command arguments
fn validate_performance_args(args: &PerformanceOptimizationArgs) -> Result<()> {
    match &args.command {
        PerformanceCommand::Profile { command } => validate_profile_command(command),
        PerformanceCommand::Optimize { command } => validate_optimize_command(command),
        PerformanceCommand::AutoTune { command } => validate_autotune_command(command),
        PerformanceCommand::Status { format, .. } => {
            if let Some(fmt) = format {
                if !VALID_OUTPUT_FORMATS.contains(&fmt.as_str()) {
                    anyhow::bail!(
                        "Output format must be one of: {}",
                        VALID_OUTPUT_FORMATS.join(", ")
                    );
                }
            }
            Ok(())
        }
        _ => Ok(()), // Other commands have simpler validation
    }
}

fn validate_profile_command(command: &ProfileCommand) -> Result<()> {
    match command {
        ProfileCommand::Start { name, duration, .. } => {
            if name.is_empty() {
                anyhow::bail!("Profile name cannot be empty");
            }
            if let Some(dur) = duration {
                if *dur == 0 {
                    anyhow::bail!("Duration must be greater than 0");
                }
            }
            Ok(())
        }
        ProfileCommand::Analyze { profile, .. } => {
            if profile.is_empty() {
                anyhow::bail!("Profile name cannot be empty");
            }
            Ok(())
        }
        ProfileCommand::Compare {
            profile1, profile2, ..
        } => {
            if profile1.is_empty() {
                anyhow::bail!("First profile name cannot be empty");
            }
            if profile2.is_empty() {
                anyhow::bail!("Second profile name cannot be empty");
            }
            Ok(())
        }
        _ => Ok(()),
    }
}

fn validate_optimize_command(command: &OptimizeCommand) -> Result<()> {
    match command {
        OptimizeCommand::Run { target, .. } => {
            if target.is_empty() {
                anyhow::bail!("Optimization target cannot be empty");
            }
            Ok(())
        }
        OptimizeCommand::Rollback { id, .. } => {
            if id.is_empty() {
                anyhow::bail!("Optimization ID cannot be empty");
            }
            Ok(())
        }
        OptimizeCommand::Plan { targets, .. } => {
            if targets.is_empty() {
                anyhow::bail!("At least one optimization target is required");
            }
            Ok(())
        }
        _ => Ok(()),
    }
}

fn validate_autotune_command(command: &AutoTuneCommand) -> Result<()> {
    match command {
        AutoTuneCommand::Start {
            algorithm,
            max_iterations,
            exploration,
            ..
        } => {
            if let Some(alg) = algorithm {
                if !VALID_AUTOTUNE_STRATEGIES.contains(&alg.as_str()) {
                    anyhow::bail!(
                        "Algorithm must be one of: {}",
                        VALID_AUTOTUNE_STRATEGIES.join(", ")
                    );
                }
            }
            if let Some(iters) = max_iterations {
                if *iters == 0 {
                    anyhow::bail!("Max iterations must be greater than 0");
                }
            }
            if let Some(exp) = exploration {
                if !(*exp >= 0.0 && *exp <= 1.0) {
                    anyhow::bail!("Exploration factor must be between 0.0 and 1.0");
                }
            }
            Ok(())
        }
        AutoTuneCommand::Progress { id, .. } | AutoTuneCommand::Stop { id, .. } => {
            if id.is_empty() {
                anyhow::bail!("Session ID cannot be empty");
            }
            Ok(())
        }
        AutoTuneCommand::Validate { id } | AutoTuneCommand::Apply { id, .. } => {
            if id.is_empty() {
                anyhow::bail!("Session ID cannot be empty");
            }
            Ok(())
        }
        AutoTuneCommand::Export { id, .. } => {
            if id.is_empty() {
                anyhow::bail!("Session ID cannot be empty");
            }
            Ok(())
        }
        _ => Ok(()),
    }
}

pub async fn execute(args: PerformanceOptimizationArgs, _config: &Config) -> Result<()> {
    // Validate arguments before execution
    validate_performance_args(&args)?;

    let system =
        PerformanceOptimizationSystem::new(PerformanceOptimizationConfig::default()).await?;

    match args.command {
        PerformanceCommand::Profile { command } => handle_profile_command(command, &system).await,
        PerformanceCommand::Optimize { command } => handle_optimize_command(command, &system).await,
        PerformanceCommand::AutoTune { command } => handle_autotune_command(command, &system).await,
        PerformanceCommand::Resources { command } => {
            handle_resource_command(command, &system).await
        }
        PerformanceCommand::Cache { command } => handle_cache_command(command, &system).await,
        PerformanceCommand::Parallel { command } => handle_parallel_command(command, &system).await,
        PerformanceCommand::Memory { command } => handle_memory_command(command, &system).await,
        PerformanceCommand::IO { command } => handle_io_command(command, &system).await,
        PerformanceCommand::Network { command } => handle_network_command(command, &system).await,
        PerformanceCommand::Model { command } => handle_model_opt_command(command, &system).await,
        PerformanceCommand::Benchmark { command } => {
            handle_benchmark_command(command, &system).await
        }
        PerformanceCommand::Status {
            detailed,
            format,
            refresh,
            history,
            realtime,
        } => handle_status_command(&system, detailed, format, refresh, history, realtime).await,
    }
}

async fn handle_profile_command(
    command: ProfileCommand,
    system: &PerformanceOptimizationSystem,
) -> Result<()> {
    match command {
        ProfileCommand::Start {
            name,
            profile_type: _,
            duration,
            sample_rate: _,
            cpu,
            memory,
            io,
            network,
            gpu,
        } => {
            println!("Starting profiling session: {}", name);

            let mut options = HashMap::new();
            if cpu {
                options.insert("cpu".to_string(), "true".to_string());
            }
            if memory {
                options.insert("memory".to_string(), "true".to_string());
            }
            if io {
                options.insert("io".to_string(), "true".to_string());
            }
            if network {
                options.insert("network".to_string(), "true".to_string());
            }
            if gpu {
                options.insert("gpu".to_string(), "true".to_string());
            }

            system.start_profiling_with_name(&name, options).await?;

            if let Some(dur) = duration {
                println!("Profiling for {} seconds...", dur);
                tokio::time::sleep(tokio::time::Duration::from_secs(dur)).await;
                println!("Profiling session completed");
            } else {
                println!("Profiling session started. Use 'stop' command to end.");
            }

            Ok(())
        }

        ProfileCommand::Stop { name, output } => {
            let session_name = name.unwrap_or_else(|| "current".to_string());
            println!("Stopping profiling session: {}", session_name);

            let profile = system.stop_profiling_with_name(&session_name).await?;

            if let Some(path) = output {
                std::fs::write(path, serde_json::to_string_pretty(&profile)?)?;
                println!("Profile saved to file");
            } else {
                println!("Profile data captured (use analyze command for details)");
            }

            Ok(())
        }

        ProfileCommand::Analyze {
            profile,
            depth: _,
            recommend,
            baseline: _,
            export: _,
        } => {
            println!("Analyzing profile: {}", profile);

            let results = system.analyze_profile(&profile).await?;

            println!("\nProfile Analysis Results:");
            println!("  CPU Usage: {:.2}%", results.cpu_usage);
            println!("  Memory Usage: {} MB", results.memory_usage / 1_048_576);
            println!("  I/O Operations: {}", results.io_operations);
            println!("  Network Bytes: {} KB", results.network_bytes / 1024);

            if recommend {
                println!("\nRecommendations:");
                for rec in results.recommendations {
                    println!("  • {}", rec);
                }
            }

            Ok(())
        }

        ProfileCommand::List { status: _, all } => {
            println!("Listing profiling sessions...");

            let profiles = system.list_profiles(all).await?;

            for profile in profiles {
                println!("  {} - Status: {}", profile.name, profile.status);
            }

            Ok(())
        }

        ProfileCommand::Compare {
            profile1,
            profile2,
            metrics: _,
            format: _,
        } => {
            println!("Comparing profiles: {} vs {}", profile1, profile2);

            let comparison = system.compare_profiles(&profile1, &profile2).await?;

            println!("\nComparison Results:");
            println!("  CPU Difference: {:.2}%", comparison.cpu_diff);
            println!(
                "  Memory Difference: {} MB",
                comparison.memory_diff / 1_048_576
            );
            println!("  I/O Difference: {}", comparison.io_diff);
            println!(
                "  Network Difference: {} KB",
                comparison.network_diff / 1024
            );

            Ok(())
        }
    }
}

async fn handle_optimize_command(
    command: OptimizeCommand,
    system: &PerformanceOptimizationSystem,
) -> Result<()> {
    match command {
        OptimizeCommand::Run {
            target,
            level,
            strategy,
            dry_run,
            force,
            overrides: _,
        } => {
            println!("Running optimization for target: {}", target);

            if dry_run {
                println!("DRY RUN MODE - No changes will be applied");
            }

            let result = system
                .optimize_with_params(&target, level, strategy)
                .await?;

            println!("\nOptimization Results:");
            println!("  Performance Gain: {:.2}%", result.performance_gain);
            println!("  Resource Reduction: {:.2}%", result.resource_reduction);
            println!("  Applied Changes: {}", result.changes_applied);

            if !dry_run {
                println!("\nOptimization applied successfully");
            }

            if force {
                println!("Force mode was enabled");
            }

            Ok(())
        }

        OptimizeCommand::Preset { name, models, list } => {
            if list {
                println!("Available optimization presets:");
                println!("  • performance - Focus on speed optimization");
                println!("  • memory - Focus on memory usage reduction");
                println!("  • balanced - Balanced optimization");
                println!("  • quality - Focus on output quality");
                return Ok(());
            }

            println!("Applying optimization preset: {}", name);
            system.apply_preset(&name, models).await?;
            println!("Preset applied successfully");

            Ok(())
        }

        OptimizeCommand::Rollback { id, point, force } => {
            println!("Rolling back optimization: {}", id);

            if force {
                println!("Force rollback enabled");
            }

            system.rollback_optimization_with_point(&id, point).await?;

            println!("Rollback completed successfully");
            Ok(())
        }

        OptimizeCommand::History {
            limit,
            metrics,
            export,
        } => {
            println!("Retrieving optimization history...");

            let history = system.get_optimization_history(limit).await?;

            for entry in &history {
                println!("\n{} - {}", entry.timestamp, entry.target);
                if metrics {
                    println!("    Performance: {:.2}%", entry.performance_gain);
                    println!("    Resources: {:.2}%", entry.resource_reduction);
                }
            }

            if let Some(path) = export {
                std::fs::write(path, serde_json::to_string_pretty(&history)?)?;
                println!("\nHistory exported to file");
            }

            Ok(())
        }

        OptimizeCommand::Plan {
            targets,
            budget,
            time_limit,
            detailed,
        } => {
            println!("Creating optimization plan for {} targets", targets.len());

            let plan = system
                .create_optimization_plan(targets, budget, time_limit)
                .await?;

            println!("\nOptimization Plan:");
            for step in &plan.steps {
                println!("  Step {}: {}", step.order, step.description);
                if detailed {
                    println!("    Estimated Gain: {:.2}%", step.estimated_gain);
                    println!("    Estimated Time: {} minutes", step.estimated_time);
                }
            }

            Ok(())
        }
    }
}

async fn handle_autotune_command(
    command: AutoTuneCommand,
    system: &PerformanceOptimizationSystem,
) -> Result<()> {
    match command {
        AutoTuneCommand::Start {
            config,
            algorithm,
            max_iterations,
            target: _,
            exploration: _,
            background,
        } => {
            println!("Starting auto-tuning session...");

            let session_id = system
                .start_autotuning(config, algorithm, max_iterations)
                .await?;

            println!("Auto-tuning session started: {}", session_id);

            if !background {
                println!("Waiting for completion...");
                system.wait_for_autotuning(&session_id).await?;
                println!("Auto-tuning completed");
            } else {
                println!("Running in background. Use 'progress' command to monitor.");
            }

            Ok(())
        }

        AutoTuneCommand::Progress {
            id,
            graph,
            refresh: _,
        } => {
            println!("Checking auto-tuning progress for: {}", id);

            let progress = system.get_autotuning_progress(&id).await?;

            println!("\nProgress Report:");
            println!(
                "  Iteration: {}/{}",
                progress.current_iteration, progress.max_iterations
            );
            println!("  Best Score: {:.3}", progress.best_score);
            println!("  Current Score: {:.3}", progress.current_score);
            println!("  Improvement: {:.2}%", progress.improvement);

            if graph {
                println!(
                    "  Progress: [{}{}]",
                    "█".repeat(
                        progress.current_iteration as usize * 20 / progress.max_iterations as usize
                    ),
                    "░".repeat(
                        20 - progress.current_iteration as usize * 20
                            / progress.max_iterations as usize
                    )
                );
            }

            Ok(())
        }

        AutoTuneCommand::Stop { id, save } => {
            println!("Stopping auto-tuning session: {}", id);
            system.stop_autotuning(&id, save).await?;
            println!("Auto-tuning session stopped");
            Ok(())
        }

        AutoTuneCommand::List { active, detailed } => {
            println!("Listing auto-tuning sessions...");
            if active {
                println!("Showing active sessions only");
            }
            if detailed {
                println!("Showing detailed information");
            }
            println!("No sessions found"); // Simplified
            Ok(())
        }

        AutoTuneCommand::Validate { id } => {
            println!("Validating auto-tuning results: {}", id);
            system.validate_autotuning(&id).await?;
            println!("Validation completed successfully");
            Ok(())
        }

        AutoTuneCommand::Apply { id, best } => {
            println!("Applying auto-tuning results: {}", id);
            system.apply_autotuning(&id, best).await?;
            println!("Configuration applied successfully");
            Ok(())
        }

        AutoTuneCommand::Export {
            id,
            history,
            output,
        } => {
            println!("Exporting auto-tuning configuration: {}", id);

            let config = system.export_autotuning(&id, history).await?;

            if let Some(path) = output {
                std::fs::write(path, serde_json::to_string_pretty(&config)?)?;
                println!("Configuration exported to file");
            } else {
                println!("{}", serde_json::to_string_pretty(&config)?);
            }

            Ok(())
        }
    }
}

async fn handle_resource_command(
    command: ResourceCommand,
    system: &PerformanceOptimizationSystem,
) -> Result<()> {
    match command {
        ResourceCommand::Usage {
            resource_type,
            window,
            history,
            monitor,
            interval: _,
            alerts: _,
        } => {
            if monitor {
                println!("Starting resource monitoring...");
                loop {
                    let stats = system.get_resource_stats().await?;

                    println!("\nResource Usage:");
                    println!("  CPU: {:.2}%", stats.cpu_usage);
                    println!(
                        "  Memory: {} / {} GB",
                        stats.memory_used / 1_073_741_824,
                        stats.memory_total / 1_073_741_824
                    );
                    println!("  GPU: {:.2}%", stats.gpu_usage);
                    println!("  I/O Rate: {} MB/s", stats.io_rate / 1_048_576);
                    println!("  Network Rate: {} MB/s", stats.network_rate / 1_048_576);

                    tokio::time::sleep(tokio::time::Duration::from_secs(5)).await;
                }
            } else {
                let stats = system.get_resource_stats().await?;
                println!("Current Resource Usage:");
                println!("  CPU: {:.2}%", stats.cpu_usage);

                if let Some(rt) = resource_type {
                    println!("Filtered by resource type: {}", rt);
                }
                if let Some(w) = window {
                    println!("Time window: {}", w);
                }
                if history {
                    println!("Historical data included");
                }
            }

            Ok(())
        }

        ResourceCommand::Limit {
            cpu,
            memory,
            gpu_memory,
            io_bandwidth,
            network_bandwidth,
        } => {
            println!("Setting resource limits...");

            let mut limits = HashMap::new();
            if let Some(val) = cpu {
                limits.insert("cpu".to_string(), val.to_string());
            }
            if let Some(val) = memory {
                limits.insert("memory".to_string(), val.to_string());
            }
            if let Some(val) = gpu_memory {
                limits.insert("gpu_memory".to_string(), val.to_string());
            }
            if let Some(val) = io_bandwidth {
                limits.insert("io_bandwidth".to_string(), val.to_string());
            }
            if let Some(val) = network_bandwidth {
                limits.insert("network_bandwidth".to_string(), val.to_string());
            }

            system.set_resource_limits(limits).await?;
            println!("Resource limits applied");

            Ok(())
        }

        ResourceCommand::AutoScale {
            enable,
            policy,
            min,
            max,
            scale_up,
            scale_down,
        } => {
            if enable {
                println!("Enabling auto-scaling...");
                let min_parsed = parse_key_value_pairs(min);
                let max_parsed = parse_key_value_pairs(max);
                system
                    .enable_autoscaling(
                        policy,
                        Some(min_parsed.keys().cloned().collect()),
                        Some(max_parsed.keys().cloned().collect()),
                        scale_up,
                        scale_down,
                    )
                    .await?;
                println!("Auto-scaling enabled");
            } else {
                println!("Disabling auto-scaling...");
                system.disable_autoscaling().await?;
                println!("Auto-scaling disabled");
            }

            Ok(())
        }

        ResourceCommand::Allocate {
            target,
            specs,
            priority,
        } => {
            println!("Allocating resources for: {}", target);

            system.allocate_resources(&target, specs, priority).await?;

            println!("Resources allocated successfully");
            Ok(())
        }

        ResourceCommand::Report {
            period,
            group_by,
            format: _,
            output,
        } => {
            println!("Generating resource report...");

            let report = system.generate_resource_report(period, group_by).await?;

            println!("\nResource Report ({})", report.period);
            println!("  CPU Hours: {:.2}", report.cpu_hours);
            println!("  Memory GB-Hours: {:.2}", report.memory_gb_hours);
            println!("  GPU Hours: {:.2}", report.gpu_hours);
            println!("  I/O GB: {:.2}", report.io_gb);
            println!("  Network GB: {:.2}", report.network_gb);

            if let Some(path) = output {
                std::fs::write(path, serde_json::to_string_pretty(&report)?)?;
                println!("\nReport exported to file");
            }

            Ok(())
        }
    }
}

async fn handle_cache_command(
    command: CacheCommand,
    system: &PerformanceOptimizationSystem,
) -> Result<()> {
    match command {
        CacheCommand::Stats {
            level,
            detailed,
            history,
        } => {
            println!("Retrieving cache statistics...");

            let stats = system.get_cache_stats(level).await?;

            println!("\nCache Statistics:");
            println!("  Hit Rate: {:.2}%", stats.hit_rate * 100.0);
            println!("  Miss Rate: {:.2}%", stats.miss_rate * 100.0);
            println!("  Eviction Rate: {:.2}%", stats.eviction_rate * 100.0);
            println!("  Used Size: {} MB", stats.used_size / 1_048_576);
            println!("  Total Size: {} MB", stats.total_size / 1_048_576);

            if detailed {
                println!("  Total Hits: {}", stats.total_hits);
                println!("  Total Misses: {}", stats.total_misses);
                println!("  Total Evictions: {}", stats.total_evictions);
                println!("  Avg Latency: {:.2} μs", stats.avg_latency_us);
            }

            if history {
                println!("Historical data would be shown here");
            }

            Ok(())
        }

        CacheCommand::Clear {
            level,
            pattern,
            force,
        } => {
            if force {
                println!("Force clearing cache...");
            } else {
                println!("Clearing cache...");
            }

            let cleared = system.clear_cache(level, pattern).await?;
            println!("Cleared {} cache entries", cleared);

            Ok(())
        }

        CacheCommand::Warmup {
            models,
            patterns,
            parallel,
        } => {
            println!("Starting cache warmup...");

            let warmed = system.warmup_cache(models, patterns, parallel).await?;
            println!("Warmed up {} cache entries", warmed);

            Ok(())
        }

        CacheCommand::Policy {
            policy,
            parameters,
            level: _,
        } => {
            println!("Setting cache policy: {}", policy);

            let policy_config = parse_key_value_pairs(parameters);
            system.set_cache_policy(policy_config).await?;
            println!("Cache policy updated");

            Ok(())
        }

        CacheCommand::Analyze {
            period,
            recommend,
            export,
        } => {
            println!("Analyzing cache performance...");

            let analysis = system.analyze_cache(period).await?;

            println!("\nCache Analysis:");
            println!("  Efficiency Score: {:.1}/10", analysis.efficiency_score);
            println!(
                "  Memory Efficiency: {:.1}%",
                analysis.memory_efficiency * 100.0
            );
            println!("  Access Pattern: {}", analysis.access_pattern);

            if recommend {
                println!("\nRecommendations:");
                for rec in &analysis.recommendations {
                    println!("  • {}", rec);
                }
            }

            if let Some(path) = export {
                std::fs::write(path, serde_json::to_string_pretty(&analysis)?)?;
                println!("\nAnalysis exported to file");
            }

            Ok(())
        }
    }
}

async fn handle_parallel_command(
    command: ParallelCommand,
    system: &PerformanceOptimizationSystem,
) -> Result<()> {
    match command {
        ParallelCommand::Config {
            workers,
            queue_size,
            timeout,
            strategy,
        } => {
            println!("Configuring parallel processing...");

            let mut config = HashMap::new();
            if let Some(w) = workers {
                config.insert("workers".to_string(), w.to_string());
            }
            if let Some(q) = queue_size {
                config.insert("queue_size".to_string(), q.to_string());
            }
            if let Some(t) = timeout {
                config.insert("timeout".to_string(), t.to_string());
            }
            if let Some(s) = strategy {
                config.insert("strategy".to_string(), s);
            }

            system.configure_parallelization(config).await?;
            println!("Parallel processing configured");

            Ok(())
        }

        ParallelCommand::Stats {
            tasks: _,
            bottlenecks,
        } => {
            println!("Retrieving parallel processing statistics...");

            let stats = system.get_parallel_stats().await?;

            println!("\nParallel Processing Statistics:");
            println!("  Active Workers: {}", stats.active_workers);
            println!("  Queue Length: {}", stats.queue_length);
            println!("  Tasks Completed: {}", stats.tasks_completed);
            println!("  Avg Task Time: {:.2} ms", stats.avg_task_time_ms);

            if bottlenecks {
                println!("\nBottlenecks:");
                for bottleneck in stats.bottlenecks {
                    println!(
                        "  • {} (Impact: {:.1}%)",
                        bottleneck.name,
                        bottleneck.impact * 100.0
                    );
                }
            }

            Ok(())
        }

        ParallelCommand::Optimize {
            throughput,
            latency,
            auto,
        } => {
            println!("Optimizing parallel processing...");

            let result = system
                .optimize_parallelization(throughput, latency, auto)
                .await?;

            println!("\nOptimization Results:");
            println!("  Throughput Gain: {:.2}%", result.throughput_gain);
            println!("  Latency Reduction: {:.2}%", result.latency_reduction);
            println!("  Optimal Workers: {}", result.optimal_workers);
            println!("  Optimal Queue Size: {}", result.optimal_queue_size);

            Ok(())
        }

        ParallelCommand::Analyze { window, recommend } => {
            println!("Analyzing task distribution...");

            let analysis = system.analyze_task_distribution(window).await?;

            println!("\nTask Distribution Analysis:");
            println!("  Balance Score: {:.1}/10", analysis.balance_score);
            println!(
                "  Worker Utilization: {:.1}%",
                analysis.worker_utilization * 100.0
            );
            println!(
                "  Queue Efficiency: {:.1}%",
                analysis.queue_efficiency * 100.0
            );

            if recommend {
                println!("\nRecommendations would be shown here");
            }

            Ok(())
        }
    }
}

async fn handle_memory_command(
    command: MemoryCommand,
    system: &PerformanceOptimizationSystem,
) -> Result<()> {
    match command {
        MemoryCommand::Stats {
            heap,
            allocations,
            group_by: _,
        } => {
            println!("Retrieving memory statistics...");

            let stats = system.get_memory_stats().await?;

            println!("\nMemory Statistics:");
            println!("  Used: {} GB", stats.used / 1_073_741_824);
            println!("  Free: {} GB", stats.free / 1_073_741_824);
            println!("  Total: {} GB", stats.total / 1_073_741_824);
            println!("  Fragmentation: {:.1}%", stats.fragmentation * 100.0);

            if heap {
                println!("\nHeap Profile:");
                for (component, size) in stats.heap_profile {
                    println!("  {}: {} MB", component, size / 1_048_576);
                }
            }

            if allocations {
                println!("\nAllocation Statistics:");
                println!("  Total Allocations: {}", stats.total_allocations);
                println!("  Total Deallocations: {}", stats.total_deallocations);
                println!("  Live Objects: {}", stats.live_objects);
            }

            Ok(())
        }

        MemoryCommand::Pool {
            name,
            size,
            preallocate,
            growth,
        } => {
            println!("Configuring memory pool: {}", name);

            system
                .configure_memory_pool(&name, size, preallocate, growth)
                .await?;
            println!("Memory pool configured");

            Ok(())
        }

        MemoryCommand::Optimize {
            target,
            compression,
            dedup,
            gc,
        } => {
            println!("Optimizing memory usage...");

            let result = system
                .optimize_memory(target, compression, dedup, gc)
                .await?;

            println!("\nMemory Optimization Results:");
            println!("  Memory Saved: {} MB", result.memory_saved / 1_048_576);
            println!("  Reduction: {:.1}%", result.reduction_percentage * 100.0);
            println!("  Compression Ratio: {:.2}x", result.compression_ratio);

            Ok(())
        }

        MemoryCommand::Leak {
            start,
            stop,
            analyze,
        } => {
            if start {
                println!("Starting memory leak detection...");
                system.start_leak_detection().await?;
                println!("Leak detection enabled");
            } else if stop {
                println!("Stopping memory leak detection...");
                system.stop_leak_detection().await?;
                println!("Leak detection disabled");
            } else if analyze {
                println!("Analyzing memory leaks...");
                let leaks = system.analyze_leaks().await?;

                if leaks.is_empty() {
                    println!("No memory leaks detected");
                } else {
                    println!("\nMemory Leaks Detected:");
                    for leak in leaks {
                        println!("  Location: {}", leak.location);
                        println!("  Size: {} KB", leak.size / 1024);
                        println!("  Count: {}", leak.count);
                        println!();
                    }
                }
            }

            Ok(())
        }

        MemoryCommand::Test {
            duration,
            pattern,
            target,
        } => {
            println!("Running memory pressure test...");

            let result = system
                .run_memory_pressure_test(duration, pattern, target)
                .await?;

            println!("\nMemory Pressure Test Results:");
            println!("  Peak Usage: {} GB", result.peak_usage / 1_073_741_824);
            println!("  Avg Usage: {} GB", result.avg_usage / 1_073_741_824);
            println!("  OOM Events: {}", result.oom_events);
            println!(
                "  Performance Impact: {:.1}%",
                result.performance_impact * 100.0
            );

            Ok(())
        }
    }
}

async fn handle_io_command(
    command: IOCommand,
    system: &PerformanceOptimizationSystem,
) -> Result<()> {
    match command {
        IOCommand::Stats {
            device,
            latency,
            throughput: _,
        } => {
            println!("Retrieving I/O statistics...");

            let stats = system.get_io_stats(device).await?;

            println!("\nI/O Statistics:");
            println!("  Read Operations: {}", stats.read_ops);
            println!("  Write Operations: {}", stats.write_ops);
            println!(
                "  Read Throughput: {} MB/s",
                stats.read_throughput / 1_048_576
            );
            println!(
                "  Write Throughput: {} MB/s",
                stats.write_throughput / 1_048_576
            );

            if latency {
                println!("  Read Latency: {:.2} ms", stats.read_latency_ms);
                println!("  Write Latency: {:.2} ms", stats.write_latency_ms);
            }

            Ok(())
        }

        IOCommand::Config {
            buffer_size,
            read_ahead,
            write_behind,
            queue_depth,
        } => {
            println!("Configuring I/O optimization...");

            let mut config = HashMap::new();
            if let Some(b) = buffer_size {
                config.insert("buffer_size".to_string(), b.to_string());
            }
            if let Some(r) = read_ahead {
                config.insert("read_ahead".to_string(), r.to_string());
            }
            if let Some(w) = write_behind {
                config.insert("write_behind".to_string(), w.to_string());
            }
            if let Some(q) = queue_depth {
                config.insert("queue_depth".to_string(), q.to_string());
            }

            system.configure_io(config).await?;
            println!("I/O configuration updated");

            Ok(())
        }

        IOCommand::Schedule {
            scheduler,
            priorities,
            bandwidth,
        } => {
            println!("Configuring I/O scheduling...");

            system
                .configure_io_scheduling(scheduler, priorities, bandwidth)
                .await?;
            println!("I/O scheduling configured");

            Ok(())
        }

        IOCommand::Test {
            test_type,
            size,
            block_size,
            duration,
        } => {
            println!("Running I/O performance test...");

            let result = system
                .run_io_test(test_type, size, block_size, duration)
                .await?;

            println!("\nI/O Test Results:");
            println!("  Read IOPS: {}", result.read_iops);
            println!("  Write IOPS: {}", result.write_iops);
            println!(
                "  Read Bandwidth: {} MB/s",
                result.read_bandwidth / 1_048_576
            );
            println!(
                "  Write Bandwidth: {} MB/s",
                result.write_bandwidth / 1_048_576
            );
            println!("  Avg Latency: {:.2} ms", result.avg_latency_ms);

            Ok(())
        }
    }
}

async fn handle_network_command(
    command: NetworkCommand,
    system: &PerformanceOptimizationSystem,
) -> Result<()> {
    match command {
        NetworkCommand::Stats {
            interface,
            latency,
            bandwidth,
            errors,
        } => {
            println!("Retrieving network statistics...");

            let stats = system.get_network_stats(interface).await?;

            println!("\nNetwork Statistics:");
            println!("  Packets Sent: {}", stats.packets_sent);
            println!("  Packets Received: {}", stats.packets_received);
            println!("  Bytes Sent: {} MB", stats.bytes_sent / 1_048_576);
            println!("  Bytes Received: {} MB", stats.bytes_received / 1_048_576);

            if bandwidth {
                println!(
                    "  Upload Bandwidth: {} Mbps",
                    stats.upload_bandwidth * 8 / 1_000_000
                );
                println!(
                    "  Download Bandwidth: {} Mbps",
                    stats.download_bandwidth * 8 / 1_000_000
                );
            }

            if latency {
                println!("  Avg Latency: {:.2} ms", stats.avg_latency_ms);
                println!("  Min Latency: {:.2} ms", stats.min_latency_ms);
                println!("  Max Latency: {:.2} ms", stats.max_latency_ms);
            }

            if errors {
                println!("  Send Errors: {}", stats.send_errors);
                println!("  Receive Errors: {}", stats.receive_errors);
                println!("  Dropped Packets: {}", stats.dropped_packets);
            }

            Ok(())
        }

        NetworkCommand::Config {
            buffers,
            window_size,
            keep_alive,
            compression,
        } => {
            println!("Configuring network optimization...");

            let mut config = HashMap::new();
            if let Some(b) = buffers {
                for buffer_setting in b {
                    let parts: Vec<&str> = buffer_setting.splitn(2, '=').collect();
                    if parts.len() == 2 {
                        config.insert(parts[0].to_string(), parts[1].to_string());
                    }
                }
            }
            if let Some(w) = window_size {
                config.insert("window_size".to_string(), w.to_string());
            }
            if let Some(k) = keep_alive {
                config.insert("keep_alive".to_string(), k.to_string());
            }
            if let Some(c) = compression {
                config.insert("compression".to_string(), c.to_string());
            }

            system.configure_network(config).await?;
            println!("Network configuration updated");

            Ok(())
        }

        NetworkCommand::Pool {
            min,
            max,
            idle_timeout,
            validation,
        } => {
            println!("Configuring connection pool...");

            system
                .configure_connection_pool(min, max, idle_timeout, validation)
                .await?;
            println!("Connection pool configured");

            Ok(())
        }

        NetworkCommand::Test {
            test_type,
            host,
            duration,
            parallel,
        } => {
            println!("Running network performance test...");

            let result = system
                .run_network_test(test_type, host, duration, parallel)
                .await?;

            println!("\nNetwork Test Results:");
            println!("  Throughput: {} Mbps", result.throughput * 8 / 1_000_000);
            println!("  Latency: {:.2} ms", result.latency_ms);
            println!("  Packet Loss: {:.3}%", result.packet_loss * 100.0);
            println!("  Jitter: {:.2} ms", result.jitter_ms);

            Ok(())
        }
    }
}

async fn handle_model_opt_command(
    command: ModelCommand,
    system: &PerformanceOptimizationSystem,
) -> Result<()> {
    match command {
        ModelCommand::Quantize {
            model,
            quant_type,
            bits,
            calibration,
            output,
        } => {
            println!("Quantizing model: {}", model);

            let result = system
                .quantize_model(&model, quant_type, bits, calibration)
                .await?;

            println!("\nQuantization Results:");
            println!("  Original Size: {} MB", result.original_size / 1_048_576);
            println!("  Quantized Size: {} MB", result.quantized_size / 1_048_576);
            println!("  Compression Ratio: {:.2}x", result.compression_ratio);
            println!("  Accuracy Loss: {:.3}%", result.accuracy_loss * 100.0);

            if let Some(path) = output {
                println!("Model saved to: {}", path.display());
            }

            Ok(())
        }

        ModelCommand::Prune {
            model,
            ratio,
            method,
            preserve_accuracy,
            output,
        } => {
            println!("Pruning model: {}", model);

            let result = system
                .prune_model(&model, ratio, method, preserve_accuracy)
                .await?;

            println!("\nPruning Results:");
            println!(
                "  Parameters Removed: {:.1}%",
                result.parameters_removed * 100.0
            );
            println!("  Size Reduction: {} bytes", result.size_reduction);
            println!("  Speed Improvement: {:.2}x", result.speed_improvement);
            println!("  Accuracy Impact: {:.3}%", result.accuracy_impact * 100.0);

            if let Some(path) = output {
                println!("Model saved to: {}", path.display());
            }

            Ok(())
        }

        ModelCommand::Distill {
            teacher,
            student,
            data,
            epochs,
            output,
        } => {
            println!("Distilling model: {} -> {}", teacher, student);

            let result = system
                .distill_model(&teacher, &student, data, epochs)
                .await?;

            println!("\nDistillation Results:");
            println!("  Student Size: {} MB", result.student_size / 1_048_576);
            println!("  Size Reduction: {} bytes", result.size_reduction);
            println!("  Speed Improvement: {:.2}x", result.speed_improvement);
            println!(
                "  Knowledge Transfer: {:.2}%",
                result.knowledge_transfer * 100.0
            );

            if let Some(path) = output {
                println!("Model saved to: {}", path.display());
            }

            Ok(())
        }

        ModelCommand::Fuse {
            model,
            patterns,
            level,
            output,
        } => {
            println!("Fusing operations in model: {}", model);

            let result = system
                .fuse_model_operations(&model, patterns, level)
                .await?;

            println!("\nOperation Fusion Results:");
            println!("  Operations Fused: {}", result.operations_fused);
            println!(
                "  Latency Reduction: {:.1}%",
                result.latency_reduction * 100.0
            );
            println!(
                "  Memory Reduction: {:.1}%",
                result.memory_reduction * 100.0
            );

            if let Some(path) = output {
                println!("Model saved to: {}", path.display());
            }

            Ok(())
        }

        ModelCommand::Compile {
            model,
            backend,
            flags,
            output,
        } => {
            println!("Compiling model: {}", model);

            let result = system.compile_model(&model, backend, flags).await?;

            println!("\nCompilation Results:");
            println!("  Target Backend: {}", result.backend);
            println!("  Optimization Level: {}", result.optimization_level);
            println!("  Expected Speedup: {:.2}x", result.expected_speedup);

            if let Some(path) = output {
                println!("Model saved to: {}", path.display());
            }

            Ok(())
        }
    }
}

async fn handle_benchmark_command(
    command: BenchmarkCommand,
    system: &PerformanceOptimizationSystem,
) -> Result<()> {
    match command {
        BenchmarkCommand::Run {
            suite,
            models,
            iterations,
            parallel,
            output,
        } => {
            println!("Running benchmark suite...");

            let results = system
                .run_benchmark(suite, models, iterations, parallel)
                .await?;

            println!("\nBenchmark Results:");
            for result in &results {
                println!("  {}:", result.name);
                println!("    Throughput: {:.2} req/s", result.throughput);
                println!("    Latency P50: {:.2} ms", result.latency_p50);
                println!("    Latency P99: {:.2} ms", result.latency_p99);
            }

            if let Some(path) = output {
                std::fs::write(path, serde_json::to_string_pretty(&results)?)?;
                println!("\nResults exported to file");
            }

            Ok(())
        }

        BenchmarkCommand::Compare {
            baseline,
            comparison,
            metrics: _,
            format: _,
        } => {
            println!("Comparing benchmarks: {} vs {}", baseline, comparison);

            let result = system
                .compare_benchmarks(&baseline, &comparison, None)
                .await?;

            println!("\nComparison Results:");
            println!(
                "  Throughput Change: {:+.1}%",
                result.throughput_change * 100.0
            );
            println!("  Latency Change: {:+.1}%", result.latency_change * 100.0);
            println!("  Memory Change: {:+.1}%", result.memory_change * 100.0);

            if result.has_regression(0.05) {
                println!("  ⚠️ Performance regression detected!");
            } else {
                println!("  ✅ No significant regression");
            }

            Ok(())
        }

        BenchmarkCommand::Suite {
            name,
            config,
            tests,
        } => {
            println!("Creating benchmark suite: {}", name);

            system.create_benchmark_suite(&name, config, tests).await?;
            println!("Benchmark suite created successfully");

            Ok(())
        }

        BenchmarkCommand::Export { id, format, output } => {
            println!("Exporting benchmark results: {}", id);

            let results = system.export_benchmark(&id, format).await?;

            if let Some(path) = output {
                std::fs::write(path, results)?;
                println!("Results exported to file");
            } else {
                println!("{}", results);
            }

            Ok(())
        }

        BenchmarkCommand::Continuous {
            enable,
            schedule,
            detect_regression,
            alerts,
        } => {
            if enable {
                println!("Enabling continuous benchmarking...");
                system
                    .enable_continuous_benchmarking(schedule, detect_regression, alerts)
                    .await?;
                println!("Continuous benchmarking enabled");
            } else {
                println!("Disabling continuous benchmarking...");
                system.disable_continuous_benchmarking().await?;
                println!("Continuous benchmarking disabled");
            }

            Ok(())
        }
    }
}

async fn handle_status_command(
    system: &PerformanceOptimizationSystem,
    detailed: bool,
    _format: Option<String>,
    refresh: Option<u64>,
    history: bool,
    realtime: bool,
) -> Result<()> {
    loop {
        let status = system.get_status().await?;

        println!("Performance Optimization Status");
        println!("==============================");
        println!("  CPU Usage: {:.1}%", status.cpu_usage);
        println!(
            "  Memory: {} / {} GB",
            status.memory_used / 1_073_741_824,
            status.memory_total / 1_073_741_824
        );
        println!("  GPU Usage: {:.1}%", status.gpu_usage);
        println!("  Performance Score: {:.1}/10", status.performance_score);
        println!("  Efficiency Score: {:.1}/10", status.efficiency_score);

        if detailed {
            println!("\nDetailed Metrics:");
            println!("  Active Optimizations: {}", status.active_optimizations);
            println!("  Cache Hit Rate: {:.1}%", status.cache_hit_rate * 100.0);
            println!(
                "  Task Parallelism: {:.1}%",
                status.task_parallelism * 100.0
            );
            println!("  I/O Efficiency: {:.1}%", status.io_efficiency * 100.0);
            println!(
                "  Network Efficiency: {:.1}%",
                status.network_efficiency * 100.0
            );
            println!(
                "  Current Throughput: {:.1} req/s",
                status.current_throughput
            );
            println!("  Current Latency: {:.1} ms", status.current_latency_ms);
            println!("  Active Workers: {}", status.active_workers);
            println!("  Queue Length: {}", status.queue_length);
        }

        if history {
            println!("\nHistorical Performance:");
            println!("  24h Average: {:.1}/10", status.avg_24h_score);
            println!("  7d Average: {:.1}/10", status.avg_7d_score);
            println!("  30d Average: {:.1}/10", status.avg_30d_score);
        }

        if let Some(interval) = refresh {
            if !realtime {
                break;
            }
            println!("\n--- Refreshing in {} seconds ---", interval);
            tokio::time::sleep(tokio::time::Duration::from_secs(interval)).await;
        } else {
            break;
        }
    }

    Ok(())
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_validate_profile_start_empty_name() {
        let args = PerformanceOptimizationArgs {
            command: PerformanceCommand::Profile {
                command: ProfileCommand::Start {
                    name: "".to_string(),
                    profile_type: None,
                    duration: Some(60),
                    sample_rate: None,
                    cpu: false,
                    memory: false,
                    io: false,
                    network: false,
                    gpu: false,
                },
            },
        };

        let result = validate_performance_args(&args);
        assert!(result.is_err());
        assert!(
            result
                .unwrap_err()
                .to_string()
                .contains("Profile name cannot be empty")
        );
    }

    #[test]
    fn test_validate_profile_start_zero_duration() {
        let args = PerformanceOptimizationArgs {
            command: PerformanceCommand::Profile {
                command: ProfileCommand::Start {
                    name: "test".to_string(),
                    profile_type: None,
                    duration: Some(0),
                    sample_rate: None,
                    cpu: false,
                    memory: false,
                    io: false,
                    network: false,
                    gpu: false,
                },
            },
        };

        let result = validate_performance_args(&args);
        assert!(result.is_err());
        assert!(
            result
                .unwrap_err()
                .to_string()
                .contains("Duration must be greater than 0")
        );
    }

    #[test]
    fn test_validate_autotune_invalid_algorithm() {
        let args = PerformanceOptimizationArgs {
            command: PerformanceCommand::AutoTune {
                command: AutoTuneCommand::Start {
                    config: None,
                    algorithm: Some("invalid".to_string()),
                    max_iterations: Some(100),
                    target: None,
                    exploration: None,
                    background: false,
                },
            },
        };

        let result = validate_performance_args(&args);
        assert!(result.is_err());
        assert!(
            result
                .unwrap_err()
                .to_string()
                .contains("Algorithm must be one of")
        );
    }

    #[test]
    fn test_validate_autotune_zero_iterations() {
        let args = PerformanceOptimizationArgs {
            command: PerformanceCommand::AutoTune {
                command: AutoTuneCommand::Start {
                    config: None,
                    algorithm: Some("bayesian".to_string()),
                    max_iterations: Some(0),
                    target: None,
                    exploration: None,
                    background: false,
                },
            },
        };

        let result = validate_performance_args(&args);
        assert!(result.is_err());
        assert!(
            result
                .unwrap_err()
                .to_string()
                .contains("Max iterations must be greater than 0")
        );
    }

    #[test]
    fn test_validate_autotune_invalid_exploration() {
        let args = PerformanceOptimizationArgs {
            command: PerformanceCommand::AutoTune {
                command: AutoTuneCommand::Start {
                    config: None,
                    algorithm: Some("bayesian".to_string()),
                    max_iterations: Some(100),
                    target: None,
                    exploration: Some(1.5),
                    background: false,
                },
            },
        };

        let result = validate_performance_args(&args);
        assert!(result.is_err());
        assert!(
            result
                .unwrap_err()
                .to_string()
                .contains("Exploration factor must be between 0.0 and 1.0")
        );
    }

    #[test]
    fn test_validate_optimize_run_empty_target() {
        let args = PerformanceOptimizationArgs {
            command: PerformanceCommand::Optimize {
                command: OptimizeCommand::Run {
                    target: "".to_string(),
                    level: None,
                    strategy: None,
                    dry_run: false,
                    force: false,
                    overrides: None,
                },
            },
        };

        let result = validate_performance_args(&args);
        assert!(result.is_err());
        assert!(
            result
                .unwrap_err()
                .to_string()
                .contains("Optimization target cannot be empty")
        );
    }

    #[test]
    fn test_validate_optimize_rollback_empty_id() {
        let args = PerformanceOptimizationArgs {
            command: PerformanceCommand::Optimize {
                command: OptimizeCommand::Rollback {
                    id: "".to_string(),
                    point: None,
                    force: false,
                },
            },
        };

        let result = validate_performance_args(&args);
        assert!(result.is_err());
        assert!(
            result
                .unwrap_err()
                .to_string()
                .contains("Optimization ID cannot be empty")
        );
    }

    #[test]
    fn test_validate_optimize_plan_empty_targets() {
        let args = PerformanceOptimizationArgs {
            command: PerformanceCommand::Optimize {
                command: OptimizeCommand::Plan {
                    targets: vec![],
                    budget: None,
                    time_limit: None,
                    detailed: false,
                },
            },
        };

        let result = validate_performance_args(&args);
        assert!(result.is_err());
        assert!(
            result
                .unwrap_err()
                .to_string()
                .contains("At least one optimization target is required")
        );
    }

    #[test]
    fn test_validate_status_invalid_format() {
        let args = PerformanceOptimizationArgs {
            command: PerformanceCommand::Status {
                detailed: false,
                format: Some("invalid".to_string()),
                refresh: None,
                history: false,
                realtime: false,
            },
        };

        let result = validate_performance_args(&args);
        assert!(result.is_err());
        assert!(
            result
                .unwrap_err()
                .to_string()
                .contains("Output format must be one of")
        );
    }

    #[test]
    fn test_validate_autotune_progress_empty_id() {
        let args = PerformanceOptimizationArgs {
            command: PerformanceCommand::AutoTune {
                command: AutoTuneCommand::Progress {
                    id: "".to_string(),
                    graph: false,
                    refresh: None,
                },
            },
        };

        let result = validate_performance_args(&args);
        assert!(result.is_err());
        assert!(
            result
                .unwrap_err()
                .to_string()
                .contains("Session ID cannot be empty")
        );
    }

    #[test]
    fn test_validate_profile_compare_empty_profile() {
        let args = PerformanceOptimizationArgs {
            command: PerformanceCommand::Profile {
                command: ProfileCommand::Compare {
                    profile1: "".to_string(),
                    profile2: "profile2".to_string(),
                    metrics: false,
                    format: None,
                },
            },
        };

        let result = validate_performance_args(&args);
        assert!(result.is_err());
        assert!(
            result
                .unwrap_err()
                .to_string()
                .contains("First profile name cannot be empty")
        );
    }
}