quantrs2_device/unified_benchmarking/

system.rs

//! Main unified benchmarking system implementation

use std::collections::{HashMap, VecDeque};
use std::sync::{mpsc, Arc, Mutex, RwLock};
use std::time::{Duration, SystemTime, UNIX_EPOCH};

use super::config::{
    AlgorithmBenchmarkConfig, CircuitBenchmarkConfig, GateBenchmarkConfig, SystemBenchmarkConfig,
    UnifiedBenchmarkConfig,
};
use super::events::BenchmarkEvent;
use super::optimization::OptimizationEngine;
use super::reporting::ReportGenerator;
use super::results::{
    AlgorithmLevelResults, CircuitLevelResults, CoherenceTimes, ConnectivityInfo,
    CostAnalysisResult, CostMetrics, CrossPlatformAnalysis, DeviceInfo, DeviceSpecifications,
    DeviceStatus, ExecutionMetadata, GateLevelResults, HistoricalComparisonResult,
    OptimizationRecommendation, PlatformBenchmarkResult, PlatformPerformanceMetrics,
    QuantumTechnology, ReliabilityMetrics, ResourceAnalysisResult, SciRS2AnalysisResult,
    SystemLevelResults, TopologyType, UnifiedBenchmarkResult,
};
use super::types::{PerformanceBaseline, QuantumPlatform};

use crate::{
    advanced_benchmarking_suite::{AdvancedBenchmarkConfig, AdvancedHardwareBenchmarkSuite},
    calibration::CalibrationManager,
    cross_platform_benchmarking::{CrossPlatformBenchmarkConfig, CrossPlatformBenchmarker},
    topology::HardwareTopology,
    DeviceError, DeviceResult, QuantumDevice,
};
use quantrs2_core::error::{QuantRS2Error, QuantRS2Result};

use scirs2_core::ndarray::Array2;

/// Main unified benchmarking system
pub struct UnifiedQuantumBenchmarkSystem {
    /// Configuration
    config: Arc<RwLock<UnifiedBenchmarkConfig>>,
    /// Platform clients
    platform_clients: Arc<RwLock<HashMap<QuantumPlatform, Box<dyn QuantumDevice + Send + Sync>>>>,
    /// Cross-platform benchmarker
    cross_platform_benchmarker: Arc<Mutex<CrossPlatformBenchmarker>>,
    /// Advanced benchmarking suite
    advanced_suite: Arc<Mutex<AdvancedHardwareBenchmarkSuite>>,
    /// Calibration manager
    calibration_manager: Arc<Mutex<CalibrationManager>>,
    /// Historical data storage
    historical_data: Arc<RwLock<VecDeque<UnifiedBenchmarkResult>>>,
    /// Performance baselines
    baselines: Arc<RwLock<HashMap<String, PerformanceBaseline>>>,
    /// Real-time monitoring
    monitoring_handle: Arc<Mutex<Option<std::thread::JoinHandle<()>>>>,
    /// Event publisher
    event_publisher: mpsc::Sender<BenchmarkEvent>,
    /// Optimization engine
    optimization_engine: Arc<Mutex<OptimizationEngine>>,
    /// Report generator
    report_generator: Arc<Mutex<ReportGenerator>>,
}

impl UnifiedQuantumBenchmarkSystem {
    /// Create a new unified quantum benchmark system
    pub async fn new(
        config: UnifiedBenchmarkConfig,
        calibration_manager: CalibrationManager,
    ) -> DeviceResult<Self> {
        let (event_publisher, _) = mpsc::channel();
        let config = Arc::new(RwLock::new(config));

        // Initialize platform clients
        let platform_clients = Arc::new(RwLock::new(HashMap::new()));

        // Initialize cross-platform benchmarker
        let cross_platform_config = CrossPlatformBenchmarkConfig::default();
        let cross_platform_benchmarker = Arc::new(Mutex::new(CrossPlatformBenchmarker::new(
            cross_platform_config,
            calibration_manager.clone(),
        )));

        // Initialize advanced benchmarking suite
        let advanced_config = AdvancedBenchmarkConfig::default();
        let topology = HardwareTopology::linear_topology(8); // Default topology
        let advanced_suite = Arc::new(Mutex::new(
            AdvancedHardwareBenchmarkSuite::new(
                advanced_config,
                calibration_manager.clone(),
                topology,
            )
            .await?,
        ));

        let historical_data = Arc::new(RwLock::new(VecDeque::with_capacity(10000)));
        let baselines = Arc::new(RwLock::new(HashMap::new()));
        let monitoring_handle = Arc::new(Mutex::new(None));

        let optimization_engine = Arc::new(Mutex::new(OptimizationEngine::new()));
        let report_generator = Arc::new(Mutex::new(ReportGenerator::new()));

        Ok(Self {
            config,
            platform_clients,
            cross_platform_benchmarker,
            advanced_suite,
            calibration_manager: Arc::new(Mutex::new(calibration_manager)),
            historical_data,
            baselines,
            monitoring_handle,
            event_publisher,
            optimization_engine,
            report_generator,
        })
    }

    /// Register a quantum platform for benchmarking
    pub async fn register_platform(
        &self,
        platform: QuantumPlatform,
        device: Box<dyn QuantumDevice + Send + Sync>,
    ) -> DeviceResult<()> {
        let mut clients = self
            .platform_clients
            .write()
            .unwrap_or_else(|e| e.into_inner());
        clients.insert(platform, device);
        Ok(())
    }

    /// Run comprehensive unified benchmarks
    pub async fn run_comprehensive_benchmark(&self) -> DeviceResult<UnifiedBenchmarkResult> {
        let execution_id = self.generate_execution_id();
        let start_time = SystemTime::now();

        // Notify benchmark start
        let config = self
            .config
            .read()
            .unwrap_or_else(|e| e.into_inner())
            .clone();
        let _ = self.event_publisher.send(BenchmarkEvent::BenchmarkStarted {
            execution_id: execution_id.clone(),
            platforms: config.target_platforms.clone(),
            timestamp: start_time,
        });

        // Execute benchmarks on all platforms
        let mut platform_results = HashMap::new();

        for platform in &config.target_platforms {
            match self.run_platform_benchmark(platform, &execution_id).await {
                Ok(result) => {
                    let _ = self
                        .event_publisher
                        .send(BenchmarkEvent::PlatformBenchmarkCompleted {
                            execution_id: execution_id.clone(),
                            platform: platform.clone(),
                            result: result.clone(),
                            timestamp: SystemTime::now(),
                        });
                    platform_results.insert(platform.clone(), result);
                }
                Err(e) => {
                    eprintln!("Platform benchmark failed for {platform:?}: {e}");
                    // Continue with other platforms
                }
            }
        }

        // Perform analysis
        let cross_platform_analysis = self
            .perform_cross_platform_analysis(&platform_results)
            .await?;
        let scirs2_analysis = self.perform_scirs2_analysis(&platform_results).await?;
        let resource_analysis = self.perform_resource_analysis(&platform_results).await?;
        let cost_analysis = self.perform_cost_analysis(&platform_results).await?;

        // Generate optimization recommendations
        let optimization_recommendations = self
            .generate_optimization_recommendations(
                &platform_results,
                &cross_platform_analysis,
                &scirs2_analysis,
            )
            .await?;

        // Perform historical comparison if available
        let historical_comparison = self
            .perform_historical_comparison(&platform_results)
            .await?;

        // Create execution metadata
        let execution_metadata = ExecutionMetadata {
            execution_start_time: start_time,
            execution_end_time: SystemTime::now(),
            total_duration: SystemTime::now()
                .duration_since(start_time)
                .unwrap_or(Duration::ZERO),
            platforms_tested: config.target_platforms.clone(),
            benchmarks_executed: platform_results.len(),
            system_info: self.get_system_info(),
        };

        let result = UnifiedBenchmarkResult {
            execution_id: execution_id.clone(),
            timestamp: start_time,
            config,
            platform_results,
            cross_platform_analysis,
            scirs2_analysis,
            resource_analysis,
            cost_analysis,
            optimization_recommendations,
            historical_comparison,
            execution_metadata,
        };

        // Store result in historical data
        self.store_historical_result(&result).await;

        // Update baselines if needed
        self.update_baselines(&result).await;

        // Trigger optimization if enabled
        if result
            .config
            .optimization_config
            .enable_intelligent_allocation
        {
            self.trigger_optimization(&result).await?;
        }

        // Generate automated reports if enabled
        if result
            .config
            .reporting_config
            .automated_reports
            .enable_automated
        {
            self.generate_automated_reports(&result).await?;
        }

        // Notify benchmark completion
        let _ = self
            .event_publisher
            .send(BenchmarkEvent::BenchmarkCompleted {
                execution_id: execution_id.clone(),
                result: result.clone(),
                timestamp: SystemTime::now(),
            });

        Ok(result)
    }

    /// Run benchmark on a specific platform
    async fn run_platform_benchmark(
        &self,
        platform: &QuantumPlatform,
        execution_id: &str,
    ) -> DeviceResult<PlatformBenchmarkResult> {
        let config = self
            .config
            .read()
            .unwrap_or_else(|e| e.into_inner())
            .clone();

        // Get device information
        let device_info = self.get_device_info(platform).await?;

        // Run benchmarks
        let gate_level_results = self
            .run_gate_level_benchmarks(platform, &config.benchmark_suite.gate_benchmarks)
            .await?;
        let circuit_level_results = self
            .run_circuit_level_benchmarks(platform, &config.benchmark_suite.circuit_benchmarks)
            .await?;
        let algorithm_level_results = self
            .run_algorithm_level_benchmarks(platform, &config.benchmark_suite.algorithm_benchmarks)
            .await?;
        let system_level_results = self
            .run_system_level_benchmarks(platform, &config.benchmark_suite.system_benchmarks)
            .await?;

        // Calculate metrics
        let performance_metrics = self
            .calculate_platform_performance_metrics(
                &gate_level_results,
                &circuit_level_results,
                &algorithm_level_results,
                &system_level_results,
            )
            .await?;

        let reliability_metrics = self
            .calculate_reliability_metrics(
                &gate_level_results,
                &circuit_level_results,
                &algorithm_level_results,
            )
            .await?;

        let cost_metrics = self
            .calculate_cost_metrics(
                &gate_level_results,
                &circuit_level_results,
                &algorithm_level_results,
            )
            .await?;

        Ok(PlatformBenchmarkResult {
            platform: platform.clone(),
            device_info,
            gate_level_results,
            circuit_level_results,
            algorithm_level_results,
            system_level_results,
            performance_metrics,
            reliability_metrics,
            cost_metrics,
        })
    }

    /// Generate unique execution ID
    fn generate_execution_id(&self) -> String {
        format!(
            "unified_benchmark_{}",
            SystemTime::now()
                .duration_since(UNIX_EPOCH)
                .unwrap_or(Duration::ZERO)
                .as_millis()
        )
    }

    /// Get device information for a platform
    async fn get_device_info(&self, platform: &QuantumPlatform) -> DeviceResult<DeviceInfo> {
        let (provider, technology) = match platform {
            QuantumPlatform::IBMQuantum { .. } => {
                ("IBM".to_string(), QuantumTechnology::Superconducting)
            }
            QuantumPlatform::AWSBraket { .. } => {
                ("AWS".to_string(), QuantumTechnology::Superconducting)
            }
            QuantumPlatform::AzureQuantum { .. } => {
                ("Microsoft".to_string(), QuantumTechnology::TrappedIon)
            }
            QuantumPlatform::IonQ { .. } => ("IonQ".to_string(), QuantumTechnology::TrappedIon),
            QuantumPlatform::Rigetti { .. } => {
                ("Rigetti".to_string(), QuantumTechnology::Superconducting)
            }
            QuantumPlatform::GoogleQuantumAI { .. } => {
                ("Google".to_string(), QuantumTechnology::Superconducting)
            }
            QuantumPlatform::Custom { .. } => (
                "Custom".to_string(),
                QuantumTechnology::Other("Custom".to_string()),
            ),
        };

        Ok(DeviceInfo {
            device_id: format!("{platform:?}"),
            provider,
            technology,
            specifications: DeviceSpecifications {
                num_qubits: 20,
                connectivity: ConnectivityInfo {
                    topology_type: TopologyType::Heavy,
                    coupling_map: vec![(0, 1), (1, 2), (2, 3)],
                    connectivity_matrix: Array2::eye(20),
                },
                gate_set: vec![
                    "X".to_string(),
                    "Y".to_string(),
                    "Z".to_string(),
                    "H".to_string(),
                    "CNOT".to_string(),
                ],
                coherence_times: CoherenceTimes {
                    t1: (0..20).map(|i| (i, Duration::from_micros(100))).collect(),
                    t2: (0..20).map(|i| (i, Duration::from_micros(50))).collect(),
                    t2_echo: (0..20).map(|i| (i, Duration::from_micros(80))).collect(),
                },
                gate_times: [
                    ("X".to_string(), Duration::from_nanos(20)),
                    ("CNOT".to_string(), Duration::from_nanos(100)),
                ]
                .iter()
                .cloned()
                .collect(),
                error_rates: [
                    ("single_qubit".to_string(), 0.001),
                    ("two_qubit".to_string(), 0.01),
                ]
                .iter()
                .cloned()
                .collect(),
            },
            current_status: DeviceStatus::Online,
            calibration_date: Some(SystemTime::now()),
        })
    }

    // Placeholder implementations for benchmark execution methods
    async fn run_gate_level_benchmarks(
        &self,
        _platform: &QuantumPlatform,
        _config: &GateBenchmarkConfig,
    ) -> DeviceResult<GateLevelResults> {
        // TODO: Implement actual gate-level benchmarks
        Err(DeviceError::NotImplemented(
            "Gate-level benchmarks not yet implemented".to_string(),
        ))
    }

    async fn run_circuit_level_benchmarks(
        &self,
        _platform: &QuantumPlatform,
        _config: &CircuitBenchmarkConfig,
    ) -> DeviceResult<CircuitLevelResults> {
        // TODO: Implement actual circuit-level benchmarks
        Err(DeviceError::NotImplemented(
            "Circuit-level benchmarks not yet implemented".to_string(),
        ))
    }

    async fn run_algorithm_level_benchmarks(
        &self,
        _platform: &QuantumPlatform,
        _config: &AlgorithmBenchmarkConfig,
    ) -> DeviceResult<AlgorithmLevelResults> {
        // TODO: Implement actual algorithm-level benchmarks
        Err(DeviceError::NotImplemented(
            "Algorithm-level benchmarks not yet implemented".to_string(),
        ))
    }

    async fn run_system_level_benchmarks(
        &self,
        _platform: &QuantumPlatform,
        _config: &SystemBenchmarkConfig,
    ) -> DeviceResult<SystemLevelResults> {
        // TODO: Implement actual system-level benchmarks
        Err(DeviceError::NotImplemented(
            "System-level benchmarks not yet implemented".to_string(),
        ))
    }

    // Analysis methods
    async fn perform_cross_platform_analysis(
        &self,
        _platform_results: &HashMap<QuantumPlatform, PlatformBenchmarkResult>,
    ) -> DeviceResult<CrossPlatformAnalysis> {
        // TODO: Implement cross-platform analysis
        Err(DeviceError::NotImplemented(
            "Cross-platform analysis not yet implemented".to_string(),
        ))
    }

    async fn perform_scirs2_analysis(
        &self,
        _platform_results: &HashMap<QuantumPlatform, PlatformBenchmarkResult>,
    ) -> DeviceResult<SciRS2AnalysisResult> {
        // TODO: Implement SciRS2 analysis
        Err(DeviceError::NotImplemented(
            "SciRS2 analysis not yet implemented".to_string(),
        ))
    }

    async fn perform_resource_analysis(
        &self,
        _platform_results: &HashMap<QuantumPlatform, PlatformBenchmarkResult>,
    ) -> DeviceResult<ResourceAnalysisResult> {
        // TODO: Implement resource analysis
        Err(DeviceError::NotImplemented(
            "Resource analysis not yet implemented".to_string(),
        ))
    }

    async fn perform_cost_analysis(
        &self,
        _platform_results: &HashMap<QuantumPlatform, PlatformBenchmarkResult>,
    ) -> DeviceResult<CostAnalysisResult> {
        // TODO: Implement cost analysis
        Err(DeviceError::NotImplemented(
            "Cost analysis not yet implemented".to_string(),
        ))
    }

    // Metrics calculation
    async fn calculate_platform_performance_metrics(
        &self,
        _gate_results: &GateLevelResults,
        _circuit_results: &CircuitLevelResults,
        _algorithm_results: &AlgorithmLevelResults,
        _system_results: &SystemLevelResults,
    ) -> DeviceResult<PlatformPerformanceMetrics> {
        // TODO: Implement performance metrics calculation
        Err(DeviceError::NotImplemented(
            "Performance metrics calculation not yet implemented".to_string(),
        ))
    }

    async fn calculate_reliability_metrics(
        &self,
        _gate_results: &GateLevelResults,
        _circuit_results: &CircuitLevelResults,
        _algorithm_results: &AlgorithmLevelResults,
    ) -> DeviceResult<ReliabilityMetrics> {
        // TODO: Implement reliability metrics calculation
        Err(DeviceError::NotImplemented(
            "Reliability metrics calculation not yet implemented".to_string(),
        ))
    }

    async fn calculate_cost_metrics(
        &self,
        _gate_results: &GateLevelResults,
        _circuit_results: &CircuitLevelResults,
        _algorithm_results: &AlgorithmLevelResults,
    ) -> DeviceResult<CostMetrics> {
        // TODO: Implement cost metrics calculation
        Err(DeviceError::NotImplemented(
            "Cost metrics calculation not yet implemented".to_string(),
        ))
    }

    // Utility methods
    async fn generate_optimization_recommendations(
        &self,
        _platform_results: &HashMap<QuantumPlatform, PlatformBenchmarkResult>,
        _cross_platform_analysis: &CrossPlatformAnalysis,
        _scirs2_analysis: &SciRS2AnalysisResult,
    ) -> DeviceResult<Vec<OptimizationRecommendation>> {
        // TODO: Implement optimization recommendation generation
        Ok(vec![])
    }

    async fn perform_historical_comparison(
        &self,
        _platform_results: &HashMap<QuantumPlatform, PlatformBenchmarkResult>,
    ) -> DeviceResult<Option<HistoricalComparisonResult>> {
        // TODO: Implement historical comparison
        Ok(None)
    }

    async fn store_historical_result(&self, result: &UnifiedBenchmarkResult) {
        let mut historical_data = self
            .historical_data
            .write()
            .unwrap_or_else(|e| e.into_inner());
        historical_data.push_back(result.clone());

        // Keep only the last 10000 results
        if historical_data.len() > 10000 {
            historical_data.pop_front();
        }
    }

    async fn update_baselines(&self, _result: &UnifiedBenchmarkResult) {
        // TODO: Implement baseline updates
    }

    async fn trigger_optimization(&self, _result: &UnifiedBenchmarkResult) -> DeviceResult<()> {
        // TODO: Implement optimization triggering
        Ok(())
    }

    async fn generate_automated_reports(
        &self,
        _result: &UnifiedBenchmarkResult,
    ) -> DeviceResult<()> {
        // TODO: Implement automated report generation
        Ok(())
    }

    fn get_system_info(&self) -> super::results::SystemInfo {
        super::results::SystemInfo {
            hostname: "localhost".to_string(),
            operating_system: std::env::consts::OS.to_string(),
            cpu_info: "Unknown".to_string(),
            memory_total: 0,
            disk_space: 0,
            network_info: "Unknown".to_string(),
        }
    }
}