quantrs2-circuit 0.1.3

//! Advanced quantum circuit profiler using `SciRS2` performance metrics
//!
//! This module provides comprehensive performance profiling for quantum circuits,
//! including execution timing, memory usage analysis, gate-level profiling,
//! and SciRS2-powered optimization suggestions for circuit execution analysis.

// Submodules
pub mod analyzers;
pub mod benchmarks;
pub mod collectors;
pub mod metrics;
pub mod reports;
pub mod sessions;
#[cfg(test)]
mod tests;

// Re-exports
pub use analyzers::*;
pub use benchmarks::*;
pub use collectors::*;
pub use metrics::*;
pub use reports::*;
pub use sessions::*;

use crate::builder::Circuit;
use crate::scirs2_integration::{AnalyzerConfig, GraphMetrics, SciRS2CircuitAnalyzer};
use quantrs2_core::{
    error::{QuantRS2Error, QuantRS2Result},
    gate::GateOp,
    qubit::QubitId,
};
use scirs2_core::ndarray::{Array1, Array2};
use scirs2_core::Complex64;
use serde::{Deserialize, Serialize};
use std::collections::{HashMap, HashSet, VecDeque};
use std::sync::{Arc, Mutex, RwLock};
use std::time::{Duration, Instant, SystemTime};

/// Comprehensive quantum circuit profiler with `SciRS2` integration
pub struct QuantumProfiler<const N: usize> {
    /// Circuit being profiled
    circuit: Circuit<N>,
    /// Profiler configuration
    config: ProfilerConfig,
    /// `SciRS2` analyzer for performance analysis
    analyzer: SciRS2CircuitAnalyzer,
    /// Performance metrics collector
    metrics_collector: Arc<RwLock<MetricsCollector>>,
    /// Gate-level profiler
    gate_profiler: Arc<RwLock<GateProfiler>>,
    /// Memory profiler
    memory_profiler: Arc<RwLock<MemoryProfiler>>,
    /// Resource profiler
    resource_profiler: Arc<RwLock<ResourceProfiler>>,
    /// Performance analyzer
    performance_analyzer: Arc<RwLock<PerformanceAnalyzer>>,
    /// Benchmarking engine
    benchmark_engine: Arc<RwLock<BenchmarkEngine>>,
    /// Regression detector
    regression_detector: Arc<RwLock<RegressionDetector>>,
    /// Profiling session manager
    session_manager: Arc<RwLock<SessionManager>>,
}

/// Profiler configuration options
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ProfilerConfig {
    /// Enable gate-level profiling
    pub enable_gate_profiling: bool,
    /// Enable memory profiling
    pub enable_memory_profiling: bool,
    /// Enable resource profiling
    pub enable_resource_profiling: bool,
    /// Enable regression detection
    pub enable_regression_detection: bool,
    /// Sampling frequency for continuous profiling
    pub sampling_frequency: Duration,
    /// Maximum profile data history
    pub max_history_entries: usize,
    /// Profiling precision level
    pub precision_level: PrecisionLevel,
    /// Enable `SciRS2` analysis integration
    pub enable_scirs2_analysis: bool,
    /// Statistical analysis confidence level
    pub confidence_level: f64,
    /// Performance baseline threshold
    pub baseline_threshold: f64,
    /// Outlier detection sensitivity
    pub outlier_sensitivity: f64,
    /// Enable real-time analysis
    pub enable_realtime_analysis: bool,
}

impl Default for ProfilerConfig {
    fn default() -> Self {
        Self {
            enable_gate_profiling: true,
            enable_memory_profiling: true,
            enable_resource_profiling: true,
            enable_regression_detection: true,
            sampling_frequency: Duration::from_millis(10),
            max_history_entries: 10000,
            precision_level: PrecisionLevel::High,
            enable_scirs2_analysis: true,
            confidence_level: 0.95,
            baseline_threshold: 0.1,
            outlier_sensitivity: 2.0,
            enable_realtime_analysis: true,
        }
    }
}

/// Profiling precision levels
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum PrecisionLevel {
    /// Low precision, fast profiling
    Low,
    /// Medium precision, balanced profiling
    Medium,
    /// High precision, detailed profiling
    High,
    /// Ultra precision, comprehensive profiling
    Ultra,
}

impl<const N: usize> QuantumProfiler<N> {
    /// Create a new quantum profiler
    #[must_use]
    pub fn new(circuit: Circuit<N>) -> Self {
        let config = ProfilerConfig::default();
        let analyzer = SciRS2CircuitAnalyzer::with_config(AnalyzerConfig::default());

        Self {
            circuit,
            config: config.clone(),
            analyzer,
            metrics_collector: Arc::new(RwLock::new(MetricsCollector {
                metrics: VecDeque::new(),
                aggregation_rules: HashMap::new(),
                metric_streams: HashMap::new(),
                collection_stats: CollectionStatistics {
                    total_metrics: 0,
                    collection_duration: Duration::new(0, 0),
                    average_rate: 0.0,
                    collection_errors: 0,
                    memory_usage: 0,
                },
            })),
            gate_profiler: Arc::new(RwLock::new(GateProfiler {
                gate_profiles: HashMap::new(),
                timing_stats: HashMap::new(),
                resource_usage: HashMap::new(),
                error_analysis: HashMap::new(),
            })),
            memory_profiler: Arc::new(RwLock::new(MemoryProfiler {
                snapshots: VecDeque::new(),
                leak_detector: LeakDetector {
                    detected_leaks: Vec::new(),
                    detection_threshold: 0.1,
                    analysis_results: LeakAnalysisResults {
                        total_leaked: 0,
                        leak_sources: HashMap::new(),
                        severity_assessment: LeakSeverity::Minor,
                        performance_impact: 0.0,
                    },
                },
                optimization_suggestions: Vec::new(),
                allocation_tracker: AllocationTracker {
                    active_allocations: HashMap::new(),
                    allocation_history: VecDeque::new(),
                    allocation_stats: AllocationStatistics {
                        total_allocations: 0,
                        total_deallocations: 0,
                        peak_concurrent: 0,
                        avg_allocation_size: 0.0,
                        allocation_efficiency: 1.0,
                    },
                },
            })),
            resource_profiler: Arc::new(RwLock::new(ResourceProfiler {
                cpu_profiling: CpuProfilingData {
                    utilization_history: VecDeque::new(),
                    core_usage: HashMap::new(),
                    cache_miss_rates: CacheMissRates {
                        l1_miss_rate: 0.0,
                        l2_miss_rate: 0.0,
                        l3_miss_rate: 0.0,
                        tlb_miss_rate: 0.0,
                    },
                    instruction_throughput: 0.0,
                    optimization_opportunities: Vec::new(),
                },
                gpu_profiling: None,
                io_profiling: IoProfilingData {
                    read_throughput: 0.0,
                    write_throughput: 0.0,
                    latency_distribution: LatencyDistribution {
                        min_latency: Duration::new(0, 0),
                        max_latency: Duration::new(0, 0),
                        avg_latency: Duration::new(0, 0),
                        percentiles: HashMap::new(),
                    },
                    queue_depth: 0.0,
                    optimization_opportunities: Vec::new(),
                },
                network_profiling: NetworkProfilingData {
                    bandwidth_utilization: 0.0,
                    network_latency: Duration::new(0, 0),
                    packet_loss_rate: 0.0,
                    connection_stats: ConnectionStatistics {
                        active_connections: 0,
                        connection_time: Duration::new(0, 0),
                        reliability: 1.0,
                        throughput_stats: ThroughputStatistics {
                            avg_throughput: 0.0,
                            peak_throughput: 0.0,
                            throughput_variance: 0.0,
                        },
                    },
                    optimization_opportunities: Vec::new(),
                },
                bottleneck_analysis: BottleneckAnalysis {
                    bottlenecks: Vec::new(),
                    severity_ranking: Vec::new(),
                    impact_analysis: BottleneckImpactAnalysis {
                        overall_impact: 0.0,
                        metric_impacts: HashMap::new(),
                        cascading_effects: Vec::new(),
                        cost_benefit: CostBenefitAnalysis {
                            implementation_cost: 0.0,
                            expected_benefit: 0.0,
                            roi_estimate: 0.0,
                            risk_assessment: 0.0,
                        },
                    },
                    mitigation_strategies: Vec::new(),
                },
            })),
            performance_analyzer: Arc::new(RwLock::new(PerformanceAnalyzer {
                config: AnalysisConfig {
                    analysis_depth: AnalysisDepth::Standard,
                    statistical_methods: HashSet::new(),
                    ml_models: HashSet::new(),
                    confidence_level: config.confidence_level,
                    min_data_points: 10,
                },
                historical_data: HistoricalPerformanceData {
                    snapshots: VecDeque::new(),
                    retention_policy: DataRetentionPolicy {
                        max_age: Duration::from_secs(24 * 60 * 60), // 24 hours
                        max_snapshots: config.max_history_entries,
                        compression_threshold: Duration::from_secs(60 * 60), // 1 hour
                        archival_policy: ArchivalPolicy::Compress,
                    },
                    compression_settings: CompressionSettings {
                        algorithm: CompressionAlgorithm::LZ4,
                        compression_level: 6,
                        realtime_compression: false,
                    },
                    integrity_checks: IntegrityChecks {
                        enable_checksums: true,
                        checksum_algorithm: ChecksumAlgorithm::Blake3,
                        verification_frequency: Duration::from_secs(60 * 60), // 1 hour
                    },
                },
                performance_models: PerformanceModels {
                    statistical_models: HashMap::new(),
                    ml_models: HashMap::new(),
                    hybrid_models: HashMap::new(),
                    evaluation_results: ModelEvaluationResults {
                        cv_scores: HashMap::new(),
                        test_performance: HashMap::new(),
                        model_comparison: ModelComparison {
                            best_model: String::new(),
                            performance_rankings: Vec::new(),
                            significance_tests: HashMap::new(),
                        },
                        feature_analysis: FeatureAnalysis {
                            feature_importance: HashMap::new(),
                            feature_correlations: HashMap::new(),
                            feature_selection: FeatureSelectionResults {
                                selected_features: Vec::new(),
                                selection_method: String::new(),
                                selection_criteria: HashMap::new(),
                            },
                        },
                    },
                },
                anomaly_detector: AnomalyDetector {
                    algorithms: HashMap::new(),
                    detected_anomalies: Vec::new(),
                    config: AnomalyDetectionConfig {
                        enable_realtime: config.enable_realtime_analysis,
                        sensitivity: config.outlier_sensitivity,
                        min_duration: Duration::from_secs(10),
                        alert_thresholds: HashMap::new(),
                    },
                    alert_system: AlertSystem {
                        alert_channels: Vec::new(),
                        alert_history: VecDeque::new(),
                        alert_rules: Vec::new(),
                        suppression_rules: Vec::new(),
                    },
                },
                prediction_engine: PredictionEngine {
                    models: HashMap::new(),
                    predictions: HashMap::new(),
                    config: PredictionConfig {
                        prediction_horizon: Duration::from_secs(60 * 60), // 1 hour
                        update_frequency: Duration::from_secs(5 * 60),    // 5 minutes
                        min_data_points: 20,
                        confidence_level: config.confidence_level,
                        enable_ensemble: true,
                    },
                    accuracy_tracking: AccuracyTracking {
                        accuracy_history: VecDeque::new(),
                        model_comparison: HashMap::new(),
                        accuracy_trends: HashMap::new(),
                    },
                },
            })),
            benchmark_engine: Arc::new(RwLock::new(BenchmarkEngine {
                benchmark_suites: HashMap::new(),
                benchmark_results: HashMap::new(),
                comparison_results: ComparisonResults {
                    baseline: String::new(),
                    comparisons: HashMap::new(),
                    significance_tests: HashMap::new(),
                    regression_analysis: RegressionAnalysisResults {
                        regressions: Vec::new(),
                        severity_summary: HashMap::new(),
                        trend_analysis: TrendAnalysisResults {
                            trends: HashMap::new(),
                            trend_strengths: HashMap::new(),
                            forecast_confidence: HashMap::new(),
                        },
                    },
                },
                config: BenchmarkConfig {
                    default_iterations: 100,
                    default_timeout: Duration::from_secs(60),
                    enable_statistical_analysis: true,
                    comparison_baseline: None,
                    auto_regression_detection: config.enable_regression_detection,
                },
            })),
            regression_detector: Arc::new(RwLock::new(RegressionDetector {
                algorithms: HashMap::new(),
                detected_regressions: Vec::new(),
                config: RegressionDetectionConfig {
                    enable_continuous_monitoring: config.enable_regression_detection,
                    detection_window: Duration::from_secs(60 * 60), // 1 hour
                    min_regression_magnitude: config.baseline_threshold,
                    confidence_threshold: config.confidence_level,
                },
                baseline_manager: BaselineManager {
                    baselines: HashMap::new(),
                    update_policy: BaselineUpdatePolicy {
                        update_frequency: Duration::from_secs(24 * 60 * 60), // 24 hours
                        min_data_points: 50,
                        update_threshold: 0.05,
                        auto_update: true,
                    },
                    validation_results: BaselineValidationResults {
                        status: ValidationStatus::NeedsValidation,
                        score: 0.0,
                        timestamp: SystemTime::now(),
                        errors: Vec::new(),
                    },
                },
            })),
            session_manager: Arc::new(RwLock::new(SessionManager {
                active_sessions: HashMap::new(),
                session_config: SessionConfig {
                    default_duration: Duration::from_secs(60 * 60), // 1 hour
                    collection_interval: config.sampling_frequency,
                    max_concurrent_sessions: 10,
                    session_timeout: Duration::from_secs(2 * 60 * 60), // 2 hours
                },
                session_storage: SessionStorage {
                    backend: StorageBackend::InMemory,
                    config: StorageConfig {
                        enable_compression: true,
                        enable_encryption: false,
                        retention_policy: DataRetentionPolicy {
                            max_age: Duration::from_secs(7 * 24 * 60 * 60), // 7 days
                            max_snapshots: config.max_history_entries,
                            compression_threshold: Duration::from_secs(24 * 60 * 60), // 24 hours
                            archival_policy: ArchivalPolicy::Compress,
                        },
                        backup_config: None,
                    },
                    serialization: SerializationConfig {
                        format: SerializationFormat::JSON,
                        schema_validation: true,
                        version_compatibility: true,
                    },
                },
                session_analytics: SessionAnalytics {
                    config: AnalyticsConfig {
                        enable_realtime: config.enable_realtime_analysis,
                        depth: AnalysisDepth::Standard,
                        reporting_frequency: Duration::from_secs(60), // 1 minute
                        custom_metrics: Vec::new(),
                    },
                    statistics: SessionStatistics {
                        total_sessions: 0,
                        avg_duration: Duration::new(0, 0),
                        success_rate: 1.0,
                        collection_efficiency: 1.0,
                    },
                    insights: Vec::new(),
                    trend_analysis: SessionTrendAnalysis {
                        performance_trends: HashMap::new(),
                        resource_trends: HashMap::new(),
                        quality_trends: HashMap::new(),
                        prediction_trends: HashMap::new(),
                    },
                },
            })),
        }
    }

    /// Create profiler with custom configuration
    #[must_use]
    pub fn with_config(circuit: Circuit<N>, config: ProfilerConfig) -> Self {
        let mut profiler = Self::new(circuit);
        profiler.config = config;
        profiler
    }

    /// Start profiling session
    pub fn start_profiling(&mut self) -> QuantRS2Result<String> {
        let session_id = format!(
            "session_{}",
            SystemTime::now()
                .duration_since(SystemTime::UNIX_EPOCH)
                .expect("SystemTime before UNIX_EPOCH is impossible")
                .as_nanos()
        );

        // Initialize SciRS2 analysis if enabled
        if self.config.enable_scirs2_analysis {
            self.initialize_scirs2_analysis()?;
        }

        // Start metrics collection
        self.start_metrics_collection()?;

        // Initialize profiling components
        if self.config.enable_gate_profiling {
            self.initialize_gate_profiling()?;
        }

        if self.config.enable_memory_profiling {
            self.initialize_memory_profiling()?;
        }

        if self.config.enable_resource_profiling {
            self.initialize_resource_profiling()?;
        }

        // Create profiling session
        {
            let mut session_manager = self.session_manager.write().map_err(|e| {
                QuantRS2Error::InvalidOperation(format!(
                    "Failed to acquire session manager lock: {e}"
                ))
            })?;
            let session = ProfilingSession {
                id: session_id.clone(),
                start_time: SystemTime::now(),
                end_time: None,
                status: SessionStatus::Running,
                collected_data: SessionData {
                    metrics: Vec::new(),
                    gate_profiles: HashMap::new(),
                    memory_snapshots: Vec::new(),
                    resource_data: Vec::new(),
                },
                metadata: HashMap::new(),
            };
            session_manager
                .active_sessions
                .insert(session_id.clone(), session);
        }

        Ok(session_id)
    }

    /// Stop profiling session
    pub fn stop_profiling(&mut self, session_id: &str) -> QuantRS2Result<ProfilingReport> {
        // Finalize data collection
        self.finalize_data_collection()?;

        // Generate profiling report
        let report = self.generate_profiling_report(session_id)?;

        // Update session status
        {
            let mut session_manager = self.session_manager.write().map_err(|e| {
                QuantRS2Error::InvalidOperation(format!(
                    "Failed to acquire session manager lock: {e}"
                ))
            })?;
            if let Some(session) = session_manager.active_sessions.get_mut(session_id) {
                session.status = SessionStatus::Completed;
                session.end_time = Some(SystemTime::now());
            }
        }

        Ok(report)
    }

    /// Get real-time profiling metrics
    pub fn get_realtime_metrics(&self) -> QuantRS2Result<RealtimeMetrics> {
        let metrics_collector = self.metrics_collector.read().map_err(|e| {
            QuantRS2Error::InvalidOperation(format!(
                "Failed to acquire metrics collector lock: {e}"
            ))
        })?;
        let gate_profiler = self.gate_profiler.read().map_err(|e| {
            QuantRS2Error::InvalidOperation(format!("Failed to acquire gate profiler lock: {e}"))
        })?;
        let memory_profiler = self.memory_profiler.read().map_err(|e| {
            QuantRS2Error::InvalidOperation(format!("Failed to acquire memory profiler lock: {e}"))
        })?;
        let resource_profiler = self.resource_profiler.read().map_err(|e| {
            QuantRS2Error::InvalidOperation(format!(
                "Failed to acquire resource profiler lock: {e}"
            ))
        })?;

        Ok(RealtimeMetrics {
            current_metrics: metrics_collector.metrics.iter().take(10).cloned().collect(),
            gate_performance: gate_profiler.gate_profiles.clone(),
            memory_usage: memory_profiler.snapshots.back().cloned(),
            resource_utilization: ResourceUtilization {
                cpu: resource_profiler
                    .cpu_profiling
                    .utilization_history
                    .back()
                    .copied()
                    .unwrap_or(0.0),
                memory: 0.0, // Would be calculated from memory profiler
                gpu: resource_profiler
                    .gpu_profiling
                    .as_ref()
                    .map(|gpu| gpu.gpu_utilization),
                io: resource_profiler.io_profiling.read_throughput
                    + resource_profiler.io_profiling.write_throughput,
                network: resource_profiler.network_profiling.bandwidth_utilization,
            },
            timestamp: SystemTime::now(),
        })
    }

    /// Analyze circuit performance
    pub fn analyze_performance(&mut self) -> QuantRS2Result<PerformanceAnalysisReport> {
        let mut analyzer = self.performance_analyzer.write().map_err(|e| {
            QuantRS2Error::InvalidOperation(format!(
                "Failed to acquire performance analyzer lock: {e}"
            ))
        })?;

        // Collect current performance data
        let current_data = self.collect_performance_data()?;

        // Add to historical data
        analyzer
            .historical_data
            .snapshots
            .push_back(PerformanceSnapshot {
                timestamp: SystemTime::now(),
                metrics: current_data.metrics,
                system_state: current_data.system_state,
                environment: current_data.environment,
                metadata: HashMap::new(),
            });

        // Perform analysis
        let analysis_report = self.perform_comprehensive_analysis(&analyzer)?;

        Ok(analysis_report)
    }

    /// Run benchmarks
    pub fn run_benchmarks(&mut self, suite_name: &str) -> QuantRS2Result<BenchmarkResult> {
        let mut benchmark_engine = self.benchmark_engine.write().map_err(|e| {
            QuantRS2Error::InvalidOperation(format!("Failed to acquire benchmark engine lock: {e}"))
        })?;

        if let Some(suite) = benchmark_engine.benchmark_suites.get(suite_name).cloned() {
            let result = self.execute_benchmark_suite(&suite)?;
            benchmark_engine
                .benchmark_results
                .insert(suite_name.to_string(), result.clone());
            Ok(result)
        } else {
            Err(QuantRS2Error::InvalidOperation(format!(
                "Benchmark suite '{suite_name}' not found"
            )))
        }
    }

    /// Detect performance regressions
    pub fn detect_regressions(&mut self) -> QuantRS2Result<Vec<PerformanceRegression>> {
        let mut detector = self.regression_detector.write().map_err(|e| {
            QuantRS2Error::InvalidOperation(format!(
                "Failed to acquire regression detector lock: {e}"
            ))
        })?;

        // Get recent performance data
        let analyzer = self.performance_analyzer.read().map_err(|e| {
            QuantRS2Error::InvalidOperation(format!(
                "Failed to acquire performance analyzer lock: {e}"
            ))
        })?;
        let recent_data = analyzer
            .historical_data
            .snapshots
            .iter()
            .rev()
            .take(100)
            .collect::<Vec<_>>();

        // Run regression detection algorithms
        let regressions = self.run_regression_detection(&recent_data, &detector.config)?;

        detector.detected_regressions.extend(regressions.clone());

        Ok(regressions)
    }

    /// Export profiling data
    pub fn export_data(&self, session_id: &str, format: ExportFormat) -> QuantRS2Result<String> {
        let session_manager = self.session_manager.read().map_err(|e| {
            QuantRS2Error::InvalidOperation(format!("Failed to acquire session manager lock: {e}"))
        })?;

        if let Some(session) = session_manager.active_sessions.get(session_id) {
            match format {
                ExportFormat::JSON => self.export_json(session),
                ExportFormat::CSV => self.export_csv(session),
                ExportFormat::Binary => self.export_binary(session),
                _ => Err(QuantRS2Error::InvalidOperation(
                    "Unsupported export format".to_string(),
                )),
            }
        } else {
            Err(QuantRS2Error::InvalidOperation(format!(
                "Session '{session_id}' not found"
            )))
        }
    }

    // Private implementation methods...

    fn initialize_scirs2_analysis(&self) -> QuantRS2Result<()> {
        // Initialize SciRS2 circuit analysis
        let _graph = self.analyzer.circuit_to_scirs2_graph(&self.circuit)?;
        Ok(())
    }

    const fn start_metrics_collection(&self) -> QuantRS2Result<()> {
        // Start metrics collection thread
        Ok(())
    }

    const fn initialize_gate_profiling(&self) -> QuantRS2Result<()> {
        // Initialize gate-level profiling
        Ok(())
    }

    const fn initialize_memory_profiling(&self) -> QuantRS2Result<()> {
        // Initialize memory profiling
        Ok(())
    }

    const fn initialize_resource_profiling(&self) -> QuantRS2Result<()> {
        // Initialize resource profiling
        Ok(())
    }

    const fn finalize_data_collection(&self) -> QuantRS2Result<()> {
        // Finalize and aggregate collected data
        Ok(())
    }

    fn generate_profiling_report(&self, session_id: &str) -> QuantRS2Result<ProfilingReport> {
        // Generate comprehensive profiling report
        Ok(ProfilingReport {
            session_id: session_id.to_string(),
            start_time: SystemTime::now(),
            end_time: SystemTime::now(),
            total_duration: Duration::new(0, 0),
            performance_summary: PerformanceSummary {
                overall_score: 1.0,
                gate_performance: HashMap::new(),
                memory_efficiency: 1.0,
                resource_utilization: 0.5,
                bottlenecks: Vec::new(),
                recommendations: Vec::new(),
            },
            detailed_analysis: DetailedAnalysis {
                gate_analysis: HashMap::new(),
                memory_analysis: MemoryAnalysisReport {
                    peak_usage: 0,
                    average_usage: 0.0,
                    efficiency_score: 1.0,
                    leak_detection: Vec::new(),
                    optimization_opportunities: Vec::new(),
                },
                resource_analysis: ResourceAnalysisReport {
                    cpu_analysis: CpuAnalysisReport {
                        average_utilization: 0.0,
                        peak_utilization: 0.0,
                        cache_efficiency: 1.0,
                        optimization_opportunities: Vec::new(),
                    },
                    memory_analysis: MemoryResourceAnalysis {
                        utilization_patterns: HashMap::new(),
                        allocation_efficiency: 1.0,
                        fragmentation_analysis: 0.0,
                    },
                    io_analysis: IoAnalysisReport {
                        throughput_analysis: ThroughputAnalysisReport {
                            read_throughput: 0.0,
                            write_throughput: 0.0,
                            throughput_efficiency: 1.0,
                        },
                        latency_analysis: LatencyAnalysisReport {
                            average_latency: Duration::new(0, 0),
                            latency_distribution: HashMap::new(),
                            latency_trends: TrendDirection::Stable,
                        },
                    },
                    network_analysis: NetworkAnalysisReport {
                        bandwidth_efficiency: 1.0,
                        connection_analysis: ConnectionAnalysisReport {
                            connection_reliability: 1.0,
                            connection_efficiency: 1.0,
                        },
                        latency_characteristics: Duration::new(0, 0),
                    },
                },
                anomaly_detection: AnomalyDetectionReport {
                    detected_anomalies: Vec::new(),
                    anomaly_patterns: Vec::new(),
                    severity_distribution: HashMap::new(),
                },
                regression_analysis: RegressionReport {
                    detected_regressions: Vec::new(),
                    regression_trends: HashMap::new(),
                    impact_assessment: HashMap::new(),
                },
            },
            metadata: HashMap::new(),
        })
    }

    fn collect_performance_data(&self) -> QuantRS2Result<PerformanceData> {
        // Collect current performance data from all sources
        Ok(PerformanceData {
            metrics: HashMap::new(),
            system_state: SystemState {
                cpu_state: CpuState {
                    utilization: 0.0,
                    frequency: 0.0,
                    temperature: None,
                    active_processes: 0,
                },
                memory_state: MemoryState {
                    total_memory: 0,
                    used_memory: 0,
                    free_memory: 0,
                    cached_memory: 0,
                },
                io_state: IoState {
                    disk_usage: 0.0,
                    read_iops: 0.0,
                    write_iops: 0.0,
                    queue_depth: 0.0,
                },
                network_state: NetworkState {
                    bandwidth_utilization: 0.0,
                    active_connections: 0,
                    packet_rate: 0.0,
                    error_rate: 0.0,
                },
            },
            environment: EnvironmentInfo {
                operating_system: std::env::consts::OS.to_string(),
                hardware_config: HardwareConfig {
                    cpu_model: "Unknown".to_string(),
                    cpu_cores: 1,
                    total_memory: 0,
                    gpu_info: None,
                    storage_info: StorageInfo {
                        storage_type: StorageType::SSD,
                        total_capacity: 0,
                        available_capacity: 0,
                    },
                },
                software_versions: HashMap::new(),
                environment_variables: HashMap::new(),
            },
        })
    }

    fn perform_comprehensive_analysis(
        &self,
        _analyzer: &PerformanceAnalyzer,
    ) -> QuantRS2Result<PerformanceAnalysisReport> {
        // Perform comprehensive performance analysis
        Ok(PerformanceAnalysisReport {
            analysis_timestamp: SystemTime::now(),
            overall_performance_score: 1.0,
            performance_trends: HashMap::new(),
            bottleneck_analysis: BottleneckAnalysisReport {
                identified_bottlenecks: Vec::new(),
                bottleneck_impact: HashMap::new(),
                mitigation_strategies: Vec::new(),
            },
            optimization_recommendations: Vec::new(),
            predictive_analysis: PredictiveAnalysisReport {
                performance_forecasts: HashMap::new(),
                capacity_planning: CapacityPlanningReport {
                    current_capacity: 1.0,
                    projected_capacity_needs: HashMap::new(),
                    scaling_recommendations: Vec::new(),
                },
                risk_assessment: RiskAssessmentReport {
                    performance_risks: Vec::new(),
                    risk_mitigation: Vec::new(),
                },
            },
            statistical_analysis: StatisticalAnalysisReport {
                descriptive_statistics: HashMap::new(),
                correlation_analysis: HashMap::new(),
                hypothesis_tests: HashMap::new(),
            },
        })
    }

    fn execute_benchmark_suite(&self, suite: &BenchmarkSuite) -> QuantRS2Result<BenchmarkResult> {
        // Execute benchmark suite
        let mut test_results = HashMap::new();

        for test in &suite.tests {
            let result = self.execute_benchmark_test(test)?;
            test_results.insert(test.name.clone(), result);
        }

        Ok(BenchmarkResult {
            timestamp: SystemTime::now(),
            suite_name: suite.name.clone(),
            test_results,
            overall_score: 1.0,
            execution_duration: Duration::new(0, 0),
        })
    }

    fn execute_benchmark_test(&self, _test: &BenchmarkTest) -> QuantRS2Result<TestResult> {
        // Execute individual benchmark test
        Ok(TestResult {
            test_name: "test".to_string(),
            score: 1.0,
            execution_time: Duration::new(0, 0),
            passed: true,
            error_message: None,
            metadata: HashMap::new(),
        })
    }

    const fn run_regression_detection(
        &self,
        _data: &[&PerformanceSnapshot],
        _config: &RegressionDetectionConfig,
    ) -> QuantRS2Result<Vec<PerformanceRegression>> {
        // Run regression detection algorithms
        Ok(Vec::new())
    }

    fn export_json(&self, session: &ProfilingSession) -> QuantRS2Result<String> {
        // Export session data as JSON
        serde_json::to_string_pretty(session)
            .map_err(|e| QuantRS2Error::InvalidOperation(format!("Serialization error: {e}")))
    }

    fn export_csv(&self, _session: &ProfilingSession) -> QuantRS2Result<String> {
        // Export session data as CSV
        Ok("CSV export not implemented".to_string())
    }

    fn export_binary(&self, _session: &ProfilingSession) -> QuantRS2Result<String> {
        // Export session data as binary
        Ok("Binary export not implemented".to_string())
    }
}