quantrs2_circuit/profiler/
mod.rs

1//! Advanced quantum circuit profiler using `SciRS2` performance metrics
2//!
3//! This module provides comprehensive performance profiling for quantum circuits,
4//! including execution timing, memory usage analysis, gate-level profiling,
5//! and SciRS2-powered optimization suggestions for circuit execution analysis.
6
7// Submodules
8pub mod analyzers;
9pub mod benchmarks;
10pub mod collectors;
11pub mod metrics;
12pub mod reports;
13pub mod sessions;
14#[cfg(test)]
15mod tests;
16
17// Re-exports
18pub use analyzers::*;
19pub use benchmarks::*;
20pub use collectors::*;
21pub use metrics::*;
22pub use reports::*;
23pub use sessions::*;
24
25use crate::builder::Circuit;
26use crate::scirs2_integration::{AnalyzerConfig, GraphMetrics, SciRS2CircuitAnalyzer};
27use quantrs2_core::{
28    error::{QuantRS2Error, QuantRS2Result},
29    gate::GateOp,
30    qubit::QubitId,
31};
32use scirs2_core::ndarray::{Array1, Array2};
33use scirs2_core::Complex64;
34use serde::{Deserialize, Serialize};
35use std::collections::{HashMap, HashSet, VecDeque};
36use std::sync::{Arc, Mutex, RwLock};
37use std::time::{Duration, Instant, SystemTime};
38
39/// Comprehensive quantum circuit profiler with `SciRS2` integration
40pub struct QuantumProfiler<const N: usize> {
41    /// Circuit being profiled
42    circuit: Circuit<N>,
43    /// Profiler configuration
44    config: ProfilerConfig,
45    /// `SciRS2` analyzer for performance analysis
46    analyzer: SciRS2CircuitAnalyzer,
47    /// Performance metrics collector
48    metrics_collector: Arc<RwLock<MetricsCollector>>,
49    /// Gate-level profiler
50    gate_profiler: Arc<RwLock<GateProfiler>>,
51    /// Memory profiler
52    memory_profiler: Arc<RwLock<MemoryProfiler>>,
53    /// Resource profiler
54    resource_profiler: Arc<RwLock<ResourceProfiler>>,
55    /// Performance analyzer
56    performance_analyzer: Arc<RwLock<PerformanceAnalyzer>>,
57    /// Benchmarking engine
58    benchmark_engine: Arc<RwLock<BenchmarkEngine>>,
59    /// Regression detector
60    regression_detector: Arc<RwLock<RegressionDetector>>,
61    /// Profiling session manager
62    session_manager: Arc<RwLock<SessionManager>>,
63}
64
65/// Profiler configuration options
66#[derive(Debug, Clone, Serialize, Deserialize)]
67pub struct ProfilerConfig {
68    /// Enable gate-level profiling
69    pub enable_gate_profiling: bool,
70    /// Enable memory profiling
71    pub enable_memory_profiling: bool,
72    /// Enable resource profiling
73    pub enable_resource_profiling: bool,
74    /// Enable regression detection
75    pub enable_regression_detection: bool,
76    /// Sampling frequency for continuous profiling
77    pub sampling_frequency: Duration,
78    /// Maximum profile data history
79    pub max_history_entries: usize,
80    /// Profiling precision level
81    pub precision_level: PrecisionLevel,
82    /// Enable `SciRS2` analysis integration
83    pub enable_scirs2_analysis: bool,
84    /// Statistical analysis confidence level
85    pub confidence_level: f64,
86    /// Performance baseline threshold
87    pub baseline_threshold: f64,
88    /// Outlier detection sensitivity
89    pub outlier_sensitivity: f64,
90    /// Enable real-time analysis
91    pub enable_realtime_analysis: bool,
92}
93
94impl Default for ProfilerConfig {
95    fn default() -> Self {
96        Self {
97            enable_gate_profiling: true,
98            enable_memory_profiling: true,
99            enable_resource_profiling: true,
100            enable_regression_detection: true,
101            sampling_frequency: Duration::from_millis(10),
102            max_history_entries: 10000,
103            precision_level: PrecisionLevel::High,
104            enable_scirs2_analysis: true,
105            confidence_level: 0.95,
106            baseline_threshold: 0.1,
107            outlier_sensitivity: 2.0,
108            enable_realtime_analysis: true,
109        }
110    }
111}
112
113/// Profiling precision levels
114#[derive(Debug, Clone, Serialize, Deserialize)]
115pub enum PrecisionLevel {
116    /// Low precision, fast profiling
117    Low,
118    /// Medium precision, balanced profiling
119    Medium,
120    /// High precision, detailed profiling
121    High,
122    /// Ultra precision, comprehensive profiling
123    Ultra,
124}
125
126impl<const N: usize> QuantumProfiler<N> {
127    /// Create a new quantum profiler
128    #[must_use]
129    pub fn new(circuit: Circuit<N>) -> Self {
130        let config = ProfilerConfig::default();
131        let analyzer = SciRS2CircuitAnalyzer::with_config(AnalyzerConfig::default());
132
133        Self {
134            circuit,
135            config: config.clone(),
136            analyzer,
137            metrics_collector: Arc::new(RwLock::new(MetricsCollector {
138                metrics: VecDeque::new(),
139                aggregation_rules: HashMap::new(),
140                metric_streams: HashMap::new(),
141                collection_stats: CollectionStatistics {
142                    total_metrics: 0,
143                    collection_duration: Duration::new(0, 0),
144                    average_rate: 0.0,
145                    collection_errors: 0,
146                    memory_usage: 0,
147                },
148            })),
149            gate_profiler: Arc::new(RwLock::new(GateProfiler {
150                gate_profiles: HashMap::new(),
151                timing_stats: HashMap::new(),
152                resource_usage: HashMap::new(),
153                error_analysis: HashMap::new(),
154            })),
155            memory_profiler: Arc::new(RwLock::new(MemoryProfiler {
156                snapshots: VecDeque::new(),
157                leak_detector: LeakDetector {
158                    detected_leaks: Vec::new(),
159                    detection_threshold: 0.1,
160                    analysis_results: LeakAnalysisResults {
161                        total_leaked: 0,
162                        leak_sources: HashMap::new(),
163                        severity_assessment: LeakSeverity::Minor,
164                        performance_impact: 0.0,
165                    },
166                },
167                optimization_suggestions: Vec::new(),
168                allocation_tracker: AllocationTracker {
169                    active_allocations: HashMap::new(),
170                    allocation_history: VecDeque::new(),
171                    allocation_stats: AllocationStatistics {
172                        total_allocations: 0,
173                        total_deallocations: 0,
174                        peak_concurrent: 0,
175                        avg_allocation_size: 0.0,
176                        allocation_efficiency: 1.0,
177                    },
178                },
179            })),
180            resource_profiler: Arc::new(RwLock::new(ResourceProfiler {
181                cpu_profiling: CpuProfilingData {
182                    utilization_history: VecDeque::new(),
183                    core_usage: HashMap::new(),
184                    cache_miss_rates: CacheMissRates {
185                        l1_miss_rate: 0.0,
186                        l2_miss_rate: 0.0,
187                        l3_miss_rate: 0.0,
188                        tlb_miss_rate: 0.0,
189                    },
190                    instruction_throughput: 0.0,
191                    optimization_opportunities: Vec::new(),
192                },
193                gpu_profiling: None,
194                io_profiling: IoProfilingData {
195                    read_throughput: 0.0,
196                    write_throughput: 0.0,
197                    latency_distribution: LatencyDistribution {
198                        min_latency: Duration::new(0, 0),
199                        max_latency: Duration::new(0, 0),
200                        avg_latency: Duration::new(0, 0),
201                        percentiles: HashMap::new(),
202                    },
203                    queue_depth: 0.0,
204                    optimization_opportunities: Vec::new(),
205                },
206                network_profiling: NetworkProfilingData {
207                    bandwidth_utilization: 0.0,
208                    network_latency: Duration::new(0, 0),
209                    packet_loss_rate: 0.0,
210                    connection_stats: ConnectionStatistics {
211                        active_connections: 0,
212                        connection_time: Duration::new(0, 0),
213                        reliability: 1.0,
214                        throughput_stats: ThroughputStatistics {
215                            avg_throughput: 0.0,
216                            peak_throughput: 0.0,
217                            throughput_variance: 0.0,
218                        },
219                    },
220                    optimization_opportunities: Vec::new(),
221                },
222                bottleneck_analysis: BottleneckAnalysis {
223                    bottlenecks: Vec::new(),
224                    severity_ranking: Vec::new(),
225                    impact_analysis: BottleneckImpactAnalysis {
226                        overall_impact: 0.0,
227                        metric_impacts: HashMap::new(),
228                        cascading_effects: Vec::new(),
229                        cost_benefit: CostBenefitAnalysis {
230                            implementation_cost: 0.0,
231                            expected_benefit: 0.0,
232                            roi_estimate: 0.0,
233                            risk_assessment: 0.0,
234                        },
235                    },
236                    mitigation_strategies: Vec::new(),
237                },
238            })),
239            performance_analyzer: Arc::new(RwLock::new(PerformanceAnalyzer {
240                config: AnalysisConfig {
241                    analysis_depth: AnalysisDepth::Standard,
242                    statistical_methods: HashSet::new(),
243                    ml_models: HashSet::new(),
244                    confidence_level: config.confidence_level,
245                    min_data_points: 10,
246                },
247                historical_data: HistoricalPerformanceData {
248                    snapshots: VecDeque::new(),
249                    retention_policy: DataRetentionPolicy {
250                        max_age: Duration::from_secs(24 * 60 * 60), // 24 hours
251                        max_snapshots: config.max_history_entries,
252                        compression_threshold: Duration::from_secs(60 * 60), // 1 hour
253                        archival_policy: ArchivalPolicy::Compress,
254                    },
255                    compression_settings: CompressionSettings {
256                        algorithm: CompressionAlgorithm::LZ4,
257                        compression_level: 6,
258                        realtime_compression: false,
259                    },
260                    integrity_checks: IntegrityChecks {
261                        enable_checksums: true,
262                        checksum_algorithm: ChecksumAlgorithm::Blake3,
263                        verification_frequency: Duration::from_secs(60 * 60), // 1 hour
264                    },
265                },
266                performance_models: PerformanceModels {
267                    statistical_models: HashMap::new(),
268                    ml_models: HashMap::new(),
269                    hybrid_models: HashMap::new(),
270                    evaluation_results: ModelEvaluationResults {
271                        cv_scores: HashMap::new(),
272                        test_performance: HashMap::new(),
273                        model_comparison: ModelComparison {
274                            best_model: String::new(),
275                            performance_rankings: Vec::new(),
276                            significance_tests: HashMap::new(),
277                        },
278                        feature_analysis: FeatureAnalysis {
279                            feature_importance: HashMap::new(),
280                            feature_correlations: HashMap::new(),
281                            feature_selection: FeatureSelectionResults {
282                                selected_features: Vec::new(),
283                                selection_method: String::new(),
284                                selection_criteria: HashMap::new(),
285                            },
286                        },
287                    },
288                },
289                anomaly_detector: AnomalyDetector {
290                    algorithms: HashMap::new(),
291                    detected_anomalies: Vec::new(),
292                    config: AnomalyDetectionConfig {
293                        enable_realtime: config.enable_realtime_analysis,
294                        sensitivity: config.outlier_sensitivity,
295                        min_duration: Duration::from_secs(10),
296                        alert_thresholds: HashMap::new(),
297                    },
298                    alert_system: AlertSystem {
299                        alert_channels: Vec::new(),
300                        alert_history: VecDeque::new(),
301                        alert_rules: Vec::new(),
302                        suppression_rules: Vec::new(),
303                    },
304                },
305                prediction_engine: PredictionEngine {
306                    models: HashMap::new(),
307                    predictions: HashMap::new(),
308                    config: PredictionConfig {
309                        prediction_horizon: Duration::from_secs(60 * 60), // 1 hour
310                        update_frequency: Duration::from_secs(5 * 60),    // 5 minutes
311                        min_data_points: 20,
312                        confidence_level: config.confidence_level,
313                        enable_ensemble: true,
314                    },
315                    accuracy_tracking: AccuracyTracking {
316                        accuracy_history: VecDeque::new(),
317                        model_comparison: HashMap::new(),
318                        accuracy_trends: HashMap::new(),
319                    },
320                },
321            })),
322            benchmark_engine: Arc::new(RwLock::new(BenchmarkEngine {
323                benchmark_suites: HashMap::new(),
324                benchmark_results: HashMap::new(),
325                comparison_results: ComparisonResults {
326                    baseline: String::new(),
327                    comparisons: HashMap::new(),
328                    significance_tests: HashMap::new(),
329                    regression_analysis: RegressionAnalysisResults {
330                        regressions: Vec::new(),
331                        severity_summary: HashMap::new(),
332                        trend_analysis: TrendAnalysisResults {
333                            trends: HashMap::new(),
334                            trend_strengths: HashMap::new(),
335                            forecast_confidence: HashMap::new(),
336                        },
337                    },
338                },
339                config: BenchmarkConfig {
340                    default_iterations: 100,
341                    default_timeout: Duration::from_secs(60),
342                    enable_statistical_analysis: true,
343                    comparison_baseline: None,
344                    auto_regression_detection: config.enable_regression_detection,
345                },
346            })),
347            regression_detector: Arc::new(RwLock::new(RegressionDetector {
348                algorithms: HashMap::new(),
349                detected_regressions: Vec::new(),
350                config: RegressionDetectionConfig {
351                    enable_continuous_monitoring: config.enable_regression_detection,
352                    detection_window: Duration::from_secs(60 * 60), // 1 hour
353                    min_regression_magnitude: config.baseline_threshold,
354                    confidence_threshold: config.confidence_level,
355                },
356                baseline_manager: BaselineManager {
357                    baselines: HashMap::new(),
358                    update_policy: BaselineUpdatePolicy {
359                        update_frequency: Duration::from_secs(24 * 60 * 60), // 24 hours
360                        min_data_points: 50,
361                        update_threshold: 0.05,
362                        auto_update: true,
363                    },
364                    validation_results: BaselineValidationResults {
365                        status: ValidationStatus::NeedsValidation,
366                        score: 0.0,
367                        timestamp: SystemTime::now(),
368                        errors: Vec::new(),
369                    },
370                },
371            })),
372            session_manager: Arc::new(RwLock::new(SessionManager {
373                active_sessions: HashMap::new(),
374                session_config: SessionConfig {
375                    default_duration: Duration::from_secs(60 * 60), // 1 hour
376                    collection_interval: config.sampling_frequency,
377                    max_concurrent_sessions: 10,
378                    session_timeout: Duration::from_secs(2 * 60 * 60), // 2 hours
379                },
380                session_storage: SessionStorage {
381                    backend: StorageBackend::InMemory,
382                    config: StorageConfig {
383                        enable_compression: true,
384                        enable_encryption: false,
385                        retention_policy: DataRetentionPolicy {
386                            max_age: Duration::from_secs(7 * 24 * 60 * 60), // 7 days
387                            max_snapshots: config.max_history_entries,
388                            compression_threshold: Duration::from_secs(24 * 60 * 60), // 24 hours
389                            archival_policy: ArchivalPolicy::Compress,
390                        },
391                        backup_config: None,
392                    },
393                    serialization: SerializationConfig {
394                        format: SerializationFormat::JSON,
395                        schema_validation: true,
396                        version_compatibility: true,
397                    },
398                },
399                session_analytics: SessionAnalytics {
400                    config: AnalyticsConfig {
401                        enable_realtime: config.enable_realtime_analysis,
402                        depth: AnalysisDepth::Standard,
403                        reporting_frequency: Duration::from_secs(60), // 1 minute
404                        custom_metrics: Vec::new(),
405                    },
406                    statistics: SessionStatistics {
407                        total_sessions: 0,
408                        avg_duration: Duration::new(0, 0),
409                        success_rate: 1.0,
410                        collection_efficiency: 1.0,
411                    },
412                    insights: Vec::new(),
413                    trend_analysis: SessionTrendAnalysis {
414                        performance_trends: HashMap::new(),
415                        resource_trends: HashMap::new(),
416                        quality_trends: HashMap::new(),
417                        prediction_trends: HashMap::new(),
418                    },
419                },
420            })),
421        }
422    }
423
424    /// Create profiler with custom configuration
425    #[must_use]
426    pub fn with_config(circuit: Circuit<N>, config: ProfilerConfig) -> Self {
427        let mut profiler = Self::new(circuit);
428        profiler.config = config;
429        profiler
430    }
431
432    /// Start profiling session
433    pub fn start_profiling(&mut self) -> QuantRS2Result<String> {
434        let session_id = format!(
435            "session_{}",
436            SystemTime::now()
437                .duration_since(SystemTime::UNIX_EPOCH)
438                .expect("SystemTime before UNIX_EPOCH is impossible")
439                .as_nanos()
440        );
441
442        // Initialize SciRS2 analysis if enabled
443        if self.config.enable_scirs2_analysis {
444            self.initialize_scirs2_analysis()?;
445        }
446
447        // Start metrics collection
448        self.start_metrics_collection()?;
449
450        // Initialize profiling components
451        if self.config.enable_gate_profiling {
452            self.initialize_gate_profiling()?;
453        }
454
455        if self.config.enable_memory_profiling {
456            self.initialize_memory_profiling()?;
457        }
458
459        if self.config.enable_resource_profiling {
460            self.initialize_resource_profiling()?;
461        }
462
463        // Create profiling session
464        {
465            let mut session_manager = self.session_manager.write().map_err(|e| {
466                QuantRS2Error::InvalidOperation(format!(
467                    "Failed to acquire session manager lock: {e}"
468                ))
469            })?;
470            let session = ProfilingSession {
471                id: session_id.clone(),
472                start_time: SystemTime::now(),
473                end_time: None,
474                status: SessionStatus::Running,
475                collected_data: SessionData {
476                    metrics: Vec::new(),
477                    gate_profiles: HashMap::new(),
478                    memory_snapshots: Vec::new(),
479                    resource_data: Vec::new(),
480                },
481                metadata: HashMap::new(),
482            };
483            session_manager
484                .active_sessions
485                .insert(session_id.clone(), session);
486        }
487
488        Ok(session_id)
489    }
490
491    /// Stop profiling session
492    pub fn stop_profiling(&mut self, session_id: &str) -> QuantRS2Result<ProfilingReport> {
493        // Finalize data collection
494        self.finalize_data_collection()?;
495
496        // Generate profiling report
497        let report = self.generate_profiling_report(session_id)?;
498
499        // Update session status
500        {
501            let mut session_manager = self.session_manager.write().map_err(|e| {
502                QuantRS2Error::InvalidOperation(format!(
503                    "Failed to acquire session manager lock: {e}"
504                ))
505            })?;
506            if let Some(session) = session_manager.active_sessions.get_mut(session_id) {
507                session.status = SessionStatus::Completed;
508                session.end_time = Some(SystemTime::now());
509            }
510        }
511
512        Ok(report)
513    }
514
515    /// Get real-time profiling metrics
516    pub fn get_realtime_metrics(&self) -> QuantRS2Result<RealtimeMetrics> {
517        let metrics_collector = self.metrics_collector.read().map_err(|e| {
518            QuantRS2Error::InvalidOperation(format!(
519                "Failed to acquire metrics collector lock: {e}"
520            ))
521        })?;
522        let gate_profiler = self.gate_profiler.read().map_err(|e| {
523            QuantRS2Error::InvalidOperation(format!("Failed to acquire gate profiler lock: {e}"))
524        })?;
525        let memory_profiler = self.memory_profiler.read().map_err(|e| {
526            QuantRS2Error::InvalidOperation(format!("Failed to acquire memory profiler lock: {e}"))
527        })?;
528        let resource_profiler = self.resource_profiler.read().map_err(|e| {
529            QuantRS2Error::InvalidOperation(format!(
530                "Failed to acquire resource profiler lock: {e}"
531            ))
532        })?;
533
534        Ok(RealtimeMetrics {
535            current_metrics: metrics_collector.metrics.iter().take(10).cloned().collect(),
536            gate_performance: gate_profiler.gate_profiles.clone(),
537            memory_usage: memory_profiler.snapshots.back().cloned(),
538            resource_utilization: ResourceUtilization {
539                cpu: resource_profiler
540                    .cpu_profiling
541                    .utilization_history
542                    .back()
543                    .copied()
544                    .unwrap_or(0.0),
545                memory: 0.0, // Would be calculated from memory profiler
546                gpu: resource_profiler
547                    .gpu_profiling
548                    .as_ref()
549                    .map(|gpu| gpu.gpu_utilization),
550                io: resource_profiler.io_profiling.read_throughput
551                    + resource_profiler.io_profiling.write_throughput,
552                network: resource_profiler.network_profiling.bandwidth_utilization,
553            },
554            timestamp: SystemTime::now(),
555        })
556    }
557
558    /// Analyze circuit performance
559    pub fn analyze_performance(&mut self) -> QuantRS2Result<PerformanceAnalysisReport> {
560        let mut analyzer = self.performance_analyzer.write().map_err(|e| {
561            QuantRS2Error::InvalidOperation(format!(
562                "Failed to acquire performance analyzer lock: {e}"
563            ))
564        })?;
565
566        // Collect current performance data
567        let current_data = self.collect_performance_data()?;
568
569        // Add to historical data
570        analyzer
571            .historical_data
572            .snapshots
573            .push_back(PerformanceSnapshot {
574                timestamp: SystemTime::now(),
575                metrics: current_data.metrics,
576                system_state: current_data.system_state,
577                environment: current_data.environment,
578                metadata: HashMap::new(),
579            });
580
581        // Perform analysis
582        let analysis_report = self.perform_comprehensive_analysis(&analyzer)?;
583
584        Ok(analysis_report)
585    }
586
587    /// Run benchmarks
588    pub fn run_benchmarks(&mut self, suite_name: &str) -> QuantRS2Result<BenchmarkResult> {
589        let mut benchmark_engine = self.benchmark_engine.write().map_err(|e| {
590            QuantRS2Error::InvalidOperation(format!("Failed to acquire benchmark engine lock: {e}"))
591        })?;
592
593        if let Some(suite) = benchmark_engine.benchmark_suites.get(suite_name).cloned() {
594            let result = self.execute_benchmark_suite(&suite)?;
595            benchmark_engine
596                .benchmark_results
597                .insert(suite_name.to_string(), result.clone());
598            Ok(result)
599        } else {
600            Err(QuantRS2Error::InvalidOperation(format!(
601                "Benchmark suite '{suite_name}' not found"
602            )))
603        }
604    }
605
606    /// Detect performance regressions
607    pub fn detect_regressions(&mut self) -> QuantRS2Result<Vec<PerformanceRegression>> {
608        let mut detector = self.regression_detector.write().map_err(|e| {
609            QuantRS2Error::InvalidOperation(format!(
610                "Failed to acquire regression detector lock: {e}"
611            ))
612        })?;
613
614        // Get recent performance data
615        let analyzer = self.performance_analyzer.read().map_err(|e| {
616            QuantRS2Error::InvalidOperation(format!(
617                "Failed to acquire performance analyzer lock: {e}"
618            ))
619        })?;
620        let recent_data = analyzer
621            .historical_data
622            .snapshots
623            .iter()
624            .rev()
625            .take(100)
626            .collect::<Vec<_>>();
627
628        // Run regression detection algorithms
629        let regressions = self.run_regression_detection(&recent_data, &detector.config)?;
630
631        detector.detected_regressions.extend(regressions.clone());
632
633        Ok(regressions)
634    }
635
636    /// Export profiling data
637    pub fn export_data(&self, session_id: &str, format: ExportFormat) -> QuantRS2Result<String> {
638        let session_manager = self.session_manager.read().map_err(|e| {
639            QuantRS2Error::InvalidOperation(format!("Failed to acquire session manager lock: {e}"))
640        })?;
641
642        if let Some(session) = session_manager.active_sessions.get(session_id) {
643            match format {
644                ExportFormat::JSON => self.export_json(session),
645                ExportFormat::CSV => self.export_csv(session),
646                ExportFormat::Binary => self.export_binary(session),
647                _ => Err(QuantRS2Error::InvalidOperation(
648                    "Unsupported export format".to_string(),
649                )),
650            }
651        } else {
652            Err(QuantRS2Error::InvalidOperation(format!(
653                "Session '{session_id}' not found"
654            )))
655        }
656    }
657
658    // Private implementation methods...
659
660    fn initialize_scirs2_analysis(&self) -> QuantRS2Result<()> {
661        // Initialize SciRS2 circuit analysis
662        let _graph = self.analyzer.circuit_to_scirs2_graph(&self.circuit)?;
663        Ok(())
664    }
665
666    const fn start_metrics_collection(&self) -> QuantRS2Result<()> {
667        // Start metrics collection thread
668        Ok(())
669    }
670
671    const fn initialize_gate_profiling(&self) -> QuantRS2Result<()> {
672        // Initialize gate-level profiling
673        Ok(())
674    }
675
676    const fn initialize_memory_profiling(&self) -> QuantRS2Result<()> {
677        // Initialize memory profiling
678        Ok(())
679    }
680
681    const fn initialize_resource_profiling(&self) -> QuantRS2Result<()> {
682        // Initialize resource profiling
683        Ok(())
684    }
685
686    const fn finalize_data_collection(&self) -> QuantRS2Result<()> {
687        // Finalize and aggregate collected data
688        Ok(())
689    }
690
691    fn generate_profiling_report(&self, session_id: &str) -> QuantRS2Result<ProfilingReport> {
692        // Generate comprehensive profiling report
693        Ok(ProfilingReport {
694            session_id: session_id.to_string(),
695            start_time: SystemTime::now(),
696            end_time: SystemTime::now(),
697            total_duration: Duration::new(0, 0),
698            performance_summary: PerformanceSummary {
699                overall_score: 1.0,
700                gate_performance: HashMap::new(),
701                memory_efficiency: 1.0,
702                resource_utilization: 0.5,
703                bottlenecks: Vec::new(),
704                recommendations: Vec::new(),
705            },
706            detailed_analysis: DetailedAnalysis {
707                gate_analysis: HashMap::new(),
708                memory_analysis: MemoryAnalysisReport {
709                    peak_usage: 0,
710                    average_usage: 0.0,
711                    efficiency_score: 1.0,
712                    leak_detection: Vec::new(),
713                    optimization_opportunities: Vec::new(),
714                },
715                resource_analysis: ResourceAnalysisReport {
716                    cpu_analysis: CpuAnalysisReport {
717                        average_utilization: 0.0,
718                        peak_utilization: 0.0,
719                        cache_efficiency: 1.0,
720                        optimization_opportunities: Vec::new(),
721                    },
722                    memory_analysis: MemoryResourceAnalysis {
723                        utilization_patterns: HashMap::new(),
724                        allocation_efficiency: 1.0,
725                        fragmentation_analysis: 0.0,
726                    },
727                    io_analysis: IoAnalysisReport {
728                        throughput_analysis: ThroughputAnalysisReport {
729                            read_throughput: 0.0,
730                            write_throughput: 0.0,
731                            throughput_efficiency: 1.0,
732                        },
733                        latency_analysis: LatencyAnalysisReport {
734                            average_latency: Duration::new(0, 0),
735                            latency_distribution: HashMap::new(),
736                            latency_trends: TrendDirection::Stable,
737                        },
738                    },
739                    network_analysis: NetworkAnalysisReport {
740                        bandwidth_efficiency: 1.0,
741                        connection_analysis: ConnectionAnalysisReport {
742                            connection_reliability: 1.0,
743                            connection_efficiency: 1.0,
744                        },
745                        latency_characteristics: Duration::new(0, 0),
746                    },
747                },
748                anomaly_detection: AnomalyDetectionReport {
749                    detected_anomalies: Vec::new(),
750                    anomaly_patterns: Vec::new(),
751                    severity_distribution: HashMap::new(),
752                },
753                regression_analysis: RegressionReport {
754                    detected_regressions: Vec::new(),
755                    regression_trends: HashMap::new(),
756                    impact_assessment: HashMap::new(),
757                },
758            },
759            metadata: HashMap::new(),
760        })
761    }
762
763    fn collect_performance_data(&self) -> QuantRS2Result<PerformanceData> {
764        // Collect current performance data from all sources
765        Ok(PerformanceData {
766            metrics: HashMap::new(),
767            system_state: SystemState {
768                cpu_state: CpuState {
769                    utilization: 0.0,
770                    frequency: 0.0,
771                    temperature: None,
772                    active_processes: 0,
773                },
774                memory_state: MemoryState {
775                    total_memory: 0,
776                    used_memory: 0,
777                    free_memory: 0,
778                    cached_memory: 0,
779                },
780                io_state: IoState {
781                    disk_usage: 0.0,
782                    read_iops: 0.0,
783                    write_iops: 0.0,
784                    queue_depth: 0.0,
785                },
786                network_state: NetworkState {
787                    bandwidth_utilization: 0.0,
788                    active_connections: 0,
789                    packet_rate: 0.0,
790                    error_rate: 0.0,
791                },
792            },
793            environment: EnvironmentInfo {
794                operating_system: std::env::consts::OS.to_string(),
795                hardware_config: HardwareConfig {
796                    cpu_model: "Unknown".to_string(),
797                    cpu_cores: 1,
798                    total_memory: 0,
799                    gpu_info: None,
800                    storage_info: StorageInfo {
801                        storage_type: StorageType::SSD,
802                        total_capacity: 0,
803                        available_capacity: 0,
804                    },
805                },
806                software_versions: HashMap::new(),
807                environment_variables: HashMap::new(),
808            },
809        })
810    }
811
812    fn perform_comprehensive_analysis(
813        &self,
814        _analyzer: &PerformanceAnalyzer,
815    ) -> QuantRS2Result<PerformanceAnalysisReport> {
816        // Perform comprehensive performance analysis
817        Ok(PerformanceAnalysisReport {
818            analysis_timestamp: SystemTime::now(),
819            overall_performance_score: 1.0,
820            performance_trends: HashMap::new(),
821            bottleneck_analysis: BottleneckAnalysisReport {
822                identified_bottlenecks: Vec::new(),
823                bottleneck_impact: HashMap::new(),
824                mitigation_strategies: Vec::new(),
825            },
826            optimization_recommendations: Vec::new(),
827            predictive_analysis: PredictiveAnalysisReport {
828                performance_forecasts: HashMap::new(),
829                capacity_planning: CapacityPlanningReport {
830                    current_capacity: 1.0,
831                    projected_capacity_needs: HashMap::new(),
832                    scaling_recommendations: Vec::new(),
833                },
834                risk_assessment: RiskAssessmentReport {
835                    performance_risks: Vec::new(),
836                    risk_mitigation: Vec::new(),
837                },
838            },
839            statistical_analysis: StatisticalAnalysisReport {
840                descriptive_statistics: HashMap::new(),
841                correlation_analysis: HashMap::new(),
842                hypothesis_tests: HashMap::new(),
843            },
844        })
845    }
846
847    fn execute_benchmark_suite(&self, suite: &BenchmarkSuite) -> QuantRS2Result<BenchmarkResult> {
848        // Execute benchmark suite
849        let mut test_results = HashMap::new();
850
851        for test in &suite.tests {
852            let result = self.execute_benchmark_test(test)?;
853            test_results.insert(test.name.clone(), result);
854        }
855
856        Ok(BenchmarkResult {
857            timestamp: SystemTime::now(),
858            suite_name: suite.name.clone(),
859            test_results,
860            overall_score: 1.0,
861            execution_duration: Duration::new(0, 0),
862        })
863    }
864
865    fn execute_benchmark_test(&self, _test: &BenchmarkTest) -> QuantRS2Result<TestResult> {
866        // Execute individual benchmark test
867        Ok(TestResult {
868            test_name: "test".to_string(),
869            score: 1.0,
870            execution_time: Duration::new(0, 0),
871            passed: true,
872            error_message: None,
873            metadata: HashMap::new(),
874        })
875    }
876
877    const fn run_regression_detection(
878        &self,
879        _data: &[&PerformanceSnapshot],
880        _config: &RegressionDetectionConfig,
881    ) -> QuantRS2Result<Vec<PerformanceRegression>> {
882        // Run regression detection algorithms
883        Ok(Vec::new())
884    }
885
886    fn export_json(&self, session: &ProfilingSession) -> QuantRS2Result<String> {
887        // Export session data as JSON
888        serde_json::to_string_pretty(session)
889            .map_err(|e| QuantRS2Error::InvalidOperation(format!("Serialization error: {e}")))
890    }
891
892    fn export_csv(&self, _session: &ProfilingSession) -> QuantRS2Result<String> {
893        // Export session data as CSV
894        Ok("CSV export not implemented".to_string())
895    }
896
897    fn export_binary(&self, _session: &ProfilingSession) -> QuantRS2Result<String> {
898        // Export session data as binary
899        Ok("Binary export not implemented".to_string())
900    }
901}
quantrs2_circuit/profiler/mod.rs

quantrs2_circuit/profiler/
mod.rs
