voirs_recognizer/monitoring/
performance_profiling.rs

1//! Performance Profiling Tools for `VoiRS` Recognition
2//!
3//! This module provides comprehensive performance profiling capabilities including
4//! CPU profiling, memory analysis, GPU monitoring, network profiling, custom
5//! instrumentation, visualization tools, and automated benchmarking for optimizing
6//! speech recognition system performance.
7
8use std::collections::{BTreeMap, HashMap, VecDeque};
9use std::fmt;
10use std::sync::{Arc, Mutex, RwLock};
11use std::thread;
12use std::time::{Duration, Instant, SystemTime};
13
14/// Performance profiler for comprehensive system analysis
15#[derive(Debug)]
16/// Performance Profiler
17pub struct PerformanceProfiler {
18    /// CPU profiler
19    cpu_profiler: Arc<Mutex<CpuProfiler>>,
20    /// Memory profiler
21    memory_profiler: Arc<Mutex<MemoryProfiler>>,
22    /// GPU profiler
23    gpu_profiler: Arc<Mutex<GpuProfiler>>,
24    /// Network profiler
25    network_profiler: Arc<Mutex<NetworkProfiler>>,
26    /// Custom event profiler
27    custom_profiler: Arc<Mutex<CustomProfiler>>,
28    /// Profiling configuration
29    config: ProfilingConfig,
30    /// Active profiling session
31    session: Arc<RwLock<Option<ProfilingSession>>>,
32}
33
34/// Profiling configuration
35#[derive(Debug, Clone)]
36/// Profiling Config
37pub struct ProfilingConfig {
38    /// Enable CPU profiling
39    pub cpu_profiling: bool,
40    /// Enable memory profiling
41    pub memory_profiling: bool,
42    /// Enable GPU profiling
43    pub gpu_profiling: bool,
44    /// Enable network profiling
45    pub network_profiling: bool,
46    /// Sampling frequency for CPU profiling (Hz)
47    pub cpu_sample_rate: u32,
48    /// Memory allocation tracking threshold (bytes)
49    pub memory_threshold: usize,
50    /// Maximum profile data points to store
51    pub max_data_points: usize,
52    /// Enable stack trace collection
53    pub collect_stack_traces: bool,
54    /// Profile output directory
55    pub output_directory: String,
56}
57
58impl Default for ProfilingConfig {
59    fn default() -> Self {
60        Self {
61            cpu_profiling: true,
62            memory_profiling: true,
63            gpu_profiling: true,
64            network_profiling: true,
65            cpu_sample_rate: 100,   // 100 Hz
66            memory_threshold: 1024, // 1KB
67            max_data_points: 100000,
68            collect_stack_traces: true,
69            output_directory: "/tmp/voirs_profiling".to_string(),
70        }
71    }
72}
73
74/// Profiling session metadata
75#[derive(Debug, Clone)]
76/// Profiling Session
77pub struct ProfilingSession {
78    /// Session ID
79    pub id: String,
80    /// Session start time
81    pub start_time: SystemTime,
82    /// Session end time
83    pub end_time: Option<SystemTime>,
84    /// Session description
85    pub description: String,
86    /// Session tags
87    pub tags: HashMap<String, String>,
88}
89
90impl PerformanceProfiler {
91    /// Create new performance profiler
92    #[must_use]
93    pub fn new(config: ProfilingConfig) -> Self {
94        Self {
95            cpu_profiler: Arc::new(Mutex::new(CpuProfiler::new(config.clone()))),
96            memory_profiler: Arc::new(Mutex::new(MemoryProfiler::new(config.clone()))),
97            gpu_profiler: Arc::new(Mutex::new(GpuProfiler::new(config.clone()))),
98            network_profiler: Arc::new(Mutex::new(NetworkProfiler::new(config.clone()))),
99            custom_profiler: Arc::new(Mutex::new(CustomProfiler::new(config.clone()))),
100            config,
101            session: Arc::new(RwLock::new(None)),
102        }
103    }
104
105    /// Start profiling session
106    #[must_use]
107    pub fn start_session(&self, description: String, tags: HashMap<String, String>) -> String {
108        let session_id = uuid::Uuid::new_v4().to_string();
109        let session = ProfilingSession {
110            id: session_id.clone(),
111            start_time: SystemTime::now(),
112            end_time: None,
113            description,
114            tags,
115        };
116
117        *self.session.write().unwrap() = Some(session);
118
119        // Start individual profilers
120        if self.config.cpu_profiling {
121            self.cpu_profiler.lock().unwrap().start();
122        }
123        if self.config.memory_profiling {
124            self.memory_profiler.lock().unwrap().start();
125        }
126        if self.config.gpu_profiling {
127            self.gpu_profiler.lock().unwrap().start();
128        }
129        if self.config.network_profiling {
130            self.network_profiler.lock().unwrap().start();
131        }
132
133        session_id
134    }
135
136    /// Stop profiling session
137    #[must_use]
138    pub fn stop_session(&self) -> Option<ProfilingReport> {
139        let mut session_guard = self.session.write().unwrap();
140        if let Some(ref mut session) = *session_guard {
141            session.end_time = Some(SystemTime::now());
142
143            // Stop individual profilers and collect data
144            let cpu_report = if self.config.cpu_profiling {
145                self.cpu_profiler.lock().unwrap().stop()
146            } else {
147                CpuProfilingReport::default()
148            };
149
150            let memory_report = if self.config.memory_profiling {
151                self.memory_profiler.lock().unwrap().stop()
152            } else {
153                MemoryProfilingReport::default()
154            };
155
156            let gpu_report = if self.config.gpu_profiling {
157                self.gpu_profiler.lock().unwrap().stop()
158            } else {
159                GpuProfilingReport::default()
160            };
161
162            let network_report = if self.config.network_profiling {
163                self.network_profiler.lock().unwrap().stop()
164            } else {
165                NetworkProfilingReport::default()
166            };
167
168            let custom_report = self.custom_profiler.lock().unwrap().get_report();
169
170            let report = ProfilingReport {
171                session: session.clone(),
172                cpu_report,
173                memory_report,
174                gpu_report,
175                network_report,
176                custom_report,
177            };
178
179            *session_guard = None;
180            Some(report)
181        } else {
182            None
183        }
184    }
185
186    /// Profile a function execution
187    pub fn profile_function<F, R>(&self, name: &str, func: F) -> (R, FunctionProfile)
188    where
189        F: FnOnce() -> R,
190    {
191        let start_time = Instant::now();
192        let start_memory = self.get_current_memory_usage();
193
194        // Mark function entry
195        self.custom_profiler
196            .lock()
197            .unwrap()
198            .mark_function_entry(name);
199
200        // Execute function
201        let result = func();
202
203        // Mark function exit
204        self.custom_profiler
205            .lock()
206            .unwrap()
207            .mark_function_exit(name);
208
209        let end_time = Instant::now();
210        let end_memory = self.get_current_memory_usage();
211
212        let profile = FunctionProfile {
213            name: name.to_string(),
214            duration: end_time - start_time,
215            memory_delta: end_memory as i64 - start_memory as i64,
216            cpu_usage: self.get_current_cpu_usage(),
217        };
218
219        (result, profile)
220    }
221
222    /// Get current memory usage
223    fn get_current_memory_usage(&self) -> usize {
224        // Placeholder implementation
225        // In production, you'd read from /proc/self/status or use system APIs
226        1024 * 1024 // 1MB placeholder
227    }
228
229    /// Get current CPU usage
230    fn get_current_cpu_usage(&self) -> f64 {
231        // Placeholder implementation
232        // In production, you'd calculate based on process CPU time
233        25.0 // 25% placeholder
234    }
235
236    /// Add custom profiling event
237    pub fn add_custom_event(&self, name: String, data: CustomEventData) {
238        self.custom_profiler.lock().unwrap().add_event(name, data);
239    }
240
241    /// Get current session info
242    #[must_use]
243    pub fn get_current_session(&self) -> Option<ProfilingSession> {
244        self.session.read().unwrap().clone()
245    }
246}
247
248/// Function execution profile
249#[derive(Debug, Clone)]
250/// Function Profile
251pub struct FunctionProfile {
252    /// Function name
253    pub name: String,
254    /// Execution duration
255    pub duration: Duration,
256    /// Memory usage delta (bytes)
257    pub memory_delta: i64,
258    /// CPU usage during execution
259    pub cpu_usage: f64,
260}
261
262/// Complete profiling report
263#[derive(Debug, Clone)]
264/// Profiling Report
265pub struct ProfilingReport {
266    /// Session information
267    pub session: ProfilingSession,
268    /// CPU profiling results
269    pub cpu_report: CpuProfilingReport,
270    /// Memory profiling results
271    pub memory_report: MemoryProfilingReport,
272    /// GPU profiling results
273    pub gpu_report: GpuProfilingReport,
274    /// Network profiling results
275    pub network_report: NetworkProfilingReport,
276    /// Custom events report
277    pub custom_report: CustomProfilingReport,
278}
279
280/// CPU profiler implementation
281#[derive(Debug)]
282/// Cpu Profiler
283pub struct CpuProfiler {
284    /// Configuration
285    config: ProfilingConfig,
286    /// Profiling active
287    active: bool,
288    /// Sample data
289    samples: VecDeque<CpuSample>,
290    /// Function call stack
291    call_stack: Vec<FunctionCall>,
292    /// Hot spots map (`function_name` -> `total_time`)
293    hot_spots: HashMap<String, Duration>,
294}
295
296#[derive(Debug, Clone)]
297/// Cpu Sample
298pub struct CpuSample {
299    /// Sample timestamp
300    pub timestamp: Instant,
301    /// CPU usage percentage
302    pub cpu_usage: f64,
303    /// Current call stack
304    pub call_stack: Vec<String>,
305    /// Thread ID
306    pub thread_id: u64,
307}
308
309#[derive(Debug, Clone)]
310/// Function Call
311pub struct FunctionCall {
312    /// Function name
313    pub name: String,
314    /// Call start time
315    pub start_time: Instant,
316    /// Call depth
317    pub depth: usize,
318}
319
320#[derive(Debug, Clone, Default)]
321/// Cpu Profiling Report
322pub struct CpuProfilingReport {
323    /// Total profiling duration
324    pub total_duration: Duration,
325    /// Average CPU usage
326    pub average_cpu_usage: f64,
327    /// Peak CPU usage
328    pub peak_cpu_usage: f64,
329    /// Hot spots (`function_name` -> `total_time_ms`)
330    pub hot_spots: HashMap<String, u64>,
331    /// Call graph data
332    pub call_graph: CallGraph,
333    /// CPU utilization over time
334    pub cpu_timeline: Vec<CpuTimelinePoint>,
335}
336
337#[derive(Debug, Clone, Default)]
338/// Call Graph
339pub struct CallGraph {
340    /// Nodes in the call graph
341    pub nodes: HashMap<String, CallGraphNode>,
342    /// Edges between nodes
343    pub edges: Vec<CallGraphEdge>,
344}
345
346#[derive(Debug, Clone)]
347/// Call Graph Node
348pub struct CallGraphNode {
349    /// Function name
350    pub name: String,
351    /// Total time spent in this function
352    pub total_time: Duration,
353    /// Number of calls
354    pub call_count: u64,
355    /// Average time per call
356    pub average_time: Duration,
357}
358
359#[derive(Debug, Clone)]
360/// Call Graph Edge
361pub struct CallGraphEdge {
362    /// Caller function
363    pub from: String,
364    /// Called function
365    pub to: String,
366    /// Number of calls
367    pub call_count: u64,
368}
369
370#[derive(Debug, Clone)]
371/// Cpu Timeline Point
372pub struct CpuTimelinePoint {
373    /// Timestamp
374    pub timestamp: Instant,
375    /// CPU usage percentage
376    pub cpu_usage: f64,
377}
378
379impl CpuProfiler {
380    fn new(config: ProfilingConfig) -> Self {
381        Self {
382            config,
383            active: false,
384            samples: VecDeque::new(),
385            call_stack: Vec::new(),
386            hot_spots: HashMap::new(),
387        }
388    }
389
390    fn start(&mut self) {
391        self.active = true;
392        self.samples.clear();
393        self.call_stack.clear();
394        self.hot_spots.clear();
395    }
396
397    fn stop(&mut self) -> CpuProfilingReport {
398        self.active = false;
399
400        let total_duration =
401            if let (Some(first), Some(last)) = (self.samples.front(), self.samples.back()) {
402                last.timestamp - first.timestamp
403            } else {
404                Duration::from_secs(0)
405            };
406
407        let average_cpu_usage = if self.samples.is_empty() {
408            0.0
409        } else {
410            self.samples.iter().map(|s| s.cpu_usage).sum::<f64>() / self.samples.len() as f64
411        };
412
413        let peak_cpu_usage = self.samples.iter().map(|s| s.cpu_usage).fold(0.0, f64::max);
414
415        let hot_spots = self
416            .hot_spots
417            .iter()
418            .map(|(name, duration)| (name.clone(), duration.as_millis() as u64))
419            .collect();
420
421        let call_graph = self.build_call_graph();
422
423        let cpu_timeline = self
424            .samples
425            .iter()
426            .map(|s| CpuTimelinePoint {
427                timestamp: s.timestamp,
428                cpu_usage: s.cpu_usage,
429            })
430            .collect();
431
432        CpuProfilingReport {
433            total_duration,
434            average_cpu_usage,
435            peak_cpu_usage,
436            hot_spots,
437            call_graph,
438            cpu_timeline,
439        }
440    }
441
442    fn build_call_graph(&self) -> CallGraph {
443        let mut nodes = HashMap::new();
444        let mut edges = Vec::new();
445
446        // Build nodes from hot spots
447        for (function_name, total_time) in &self.hot_spots {
448            let node = CallGraphNode {
449                name: function_name.clone(),
450                total_time: *total_time,
451                call_count: 1, // Simplified
452                average_time: *total_time,
453            };
454            nodes.insert(function_name.clone(), node);
455        }
456
457        CallGraph { nodes, edges }
458    }
459
460    /// Add CPU sample
461    pub fn add_sample(&mut self, cpu_usage: f64) {
462        if !self.active {
463            return;
464        }
465
466        let sample = CpuSample {
467            timestamp: Instant::now(),
468            cpu_usage,
469            call_stack: self.call_stack.iter().map(|c| c.name.clone()).collect(),
470            thread_id: 0, // Simplified
471        };
472
473        self.samples.push_back(sample);
474
475        // Keep within limits
476        while self.samples.len() > self.config.max_data_points {
477            self.samples.pop_front();
478        }
479    }
480
481    /// Enter function call
482    pub fn enter_function(&mut self, name: &str) {
483        if !self.active {
484            return;
485        }
486
487        let call = FunctionCall {
488            name: name.to_string(),
489            start_time: Instant::now(),
490            depth: self.call_stack.len(),
491        };
492
493        self.call_stack.push(call);
494    }
495
496    /// Exit function call
497    pub fn exit_function(&mut self, name: &str) {
498        if !self.active {
499            return;
500        }
501
502        if let Some(call) = self.call_stack.pop() {
503            if call.name == name {
504                let duration = call.start_time.elapsed();
505                *self
506                    .hot_spots
507                    .entry(name.to_string())
508                    .or_insert(Duration::from_secs(0)) += duration;
509            }
510        }
511    }
512}
513
514/// Memory profiler implementation
515#[derive(Debug)]
516/// Memory Profiler
517pub struct MemoryProfiler {
518    /// Configuration
519    config: ProfilingConfig,
520    /// Profiling active
521    active: bool,
522    /// Memory allocations
523    allocations: HashMap<usize, AllocationInfo>,
524    /// Allocation timeline
525    timeline: VecDeque<MemoryTimelinePoint>,
526    /// Memory leaks detected
527    leaks: Vec<MemoryLeak>,
528}
529
530#[derive(Debug, Clone)]
531/// Allocation Info
532pub struct AllocationInfo {
533    /// Allocation size
534    pub size: usize,
535    /// Allocation timestamp
536    pub timestamp: Instant,
537    /// Allocation stack trace
538    pub stack_trace: Vec<String>,
539    /// Allocation tag
540    pub tag: String,
541}
542
543#[derive(Debug, Clone)]
544/// Memory Timeline Point
545pub struct MemoryTimelinePoint {
546    /// Timestamp
547    pub timestamp: Instant,
548    /// Total allocated memory
549    pub total_allocated: usize,
550    /// Number of allocations
551    pub allocation_count: usize,
552    /// Memory usage percentage
553    pub usage_percentage: f64,
554}
555
556#[derive(Debug, Clone)]
557/// Memory Leak
558pub struct MemoryLeak {
559    /// Leak size
560    pub size: usize,
561    /// Allocation timestamp
562    pub allocation_time: Instant,
563    /// Stack trace at allocation
564    pub stack_trace: Vec<String>,
565    /// Leak confidence score
566    pub confidence: f64,
567}
568
569#[derive(Debug, Clone, Default)]
570/// Memory Profiling Report
571pub struct MemoryProfilingReport {
572    /// Total memory allocated
573    pub total_allocated: usize,
574    /// Peak memory usage
575    pub peak_memory_usage: usize,
576    /// Average memory usage
577    pub average_memory_usage: usize,
578    /// Number of allocations
579    pub allocation_count: usize,
580    /// Number of deallocations
581    pub deallocation_count: usize,
582    /// Memory leaks detected
583    pub memory_leaks: Vec<MemoryLeak>,
584    /// Allocation hot spots
585    pub allocation_hot_spots: HashMap<String, usize>,
586    /// Memory timeline
587    pub memory_timeline: Vec<MemoryTimelinePoint>,
588}
589
590impl MemoryProfiler {
591    fn new(config: ProfilingConfig) -> Self {
592        Self {
593            config,
594            active: false,
595            allocations: HashMap::new(),
596            timeline: VecDeque::new(),
597            leaks: Vec::new(),
598        }
599    }
600
601    fn start(&mut self) {
602        self.active = true;
603        self.allocations.clear();
604        self.timeline.clear();
605        self.leaks.clear();
606    }
607
608    fn stop(&mut self) -> MemoryProfilingReport {
609        self.active = false;
610
611        // Detect potential memory leaks
612        self.detect_memory_leaks();
613
614        let total_allocated = self.allocations.values().map(|a| a.size).sum();
615        let allocation_count = self.allocations.len();
616
617        let peak_memory_usage = self
618            .timeline
619            .iter()
620            .map(|p| p.total_allocated)
621            .max()
622            .unwrap_or(0);
623
624        let average_memory_usage = if self.timeline.is_empty() {
625            0
626        } else {
627            self.timeline
628                .iter()
629                .map(|p| p.total_allocated)
630                .sum::<usize>()
631                / self.timeline.len()
632        };
633
634        let allocation_hot_spots = self.calculate_allocation_hot_spots();
635
636        MemoryProfilingReport {
637            total_allocated,
638            peak_memory_usage,
639            average_memory_usage,
640            allocation_count,
641            deallocation_count: 0, // Simplified
642            memory_leaks: self.leaks.clone(),
643            allocation_hot_spots,
644            memory_timeline: self.timeline.iter().cloned().collect(),
645        }
646    }
647
648    fn detect_memory_leaks(&mut self) {
649        let now = Instant::now();
650        let leak_threshold = Duration::from_secs(300); // 5 minutes
651
652        for allocation in self.allocations.values() {
653            if now.duration_since(allocation.timestamp) > leak_threshold {
654                let leak = MemoryLeak {
655                    size: allocation.size,
656                    allocation_time: allocation.timestamp,
657                    stack_trace: allocation.stack_trace.clone(),
658                    confidence: 0.8, // Simplified confidence calculation
659                };
660                self.leaks.push(leak);
661            }
662        }
663    }
664
665    fn calculate_allocation_hot_spots(&self) -> HashMap<String, usize> {
666        let mut hot_spots = HashMap::new();
667
668        for allocation in self.allocations.values() {
669            *hot_spots.entry(allocation.tag.clone()).or_insert(0) += allocation.size;
670        }
671
672        hot_spots
673    }
674
675    /// Track memory allocation
676    pub fn track_allocation(&mut self, ptr: usize, size: usize, tag: String) {
677        if !self.active || size < self.config.memory_threshold {
678            return;
679        }
680
681        let allocation = AllocationInfo {
682            size,
683            timestamp: Instant::now(),
684            stack_trace: if self.config.collect_stack_traces {
685                vec!["placeholder_stack_trace".to_string()]
686            } else {
687                Vec::new()
688            },
689            tag,
690        };
691
692        self.allocations.insert(ptr, allocation);
693
694        // Update timeline
695        self.update_memory_timeline();
696    }
697
698    /// Track memory deallocation
699    pub fn track_deallocation(&mut self, ptr: usize) {
700        if !self.active {
701            return;
702        }
703
704        self.allocations.remove(&ptr);
705        self.update_memory_timeline();
706    }
707
708    fn update_memory_timeline(&mut self) {
709        let total_allocated = self.allocations.values().map(|a| a.size).sum();
710        let allocation_count = self.allocations.len();
711
712        let point = MemoryTimelinePoint {
713            timestamp: Instant::now(),
714            total_allocated,
715            allocation_count,
716            usage_percentage: (total_allocated as f64 / (8u64 * 1024 * 1024 * 1024) as f64) * 100.0, // Assume 8GB system
717        };
718
719        self.timeline.push_back(point);
720
721        // Keep within limits
722        while self.timeline.len() > self.config.max_data_points {
723            self.timeline.pop_front();
724        }
725    }
726}
727
728/// GPU profiler implementation
729#[derive(Debug)]
730/// Gpu Profiler
731pub struct GpuProfiler {
732    /// Configuration
733    config: ProfilingConfig,
734    /// Profiling active
735    active: bool,
736    /// GPU utilization samples
737    utilization_samples: VecDeque<GpuUtilizationSample>,
738    /// Memory transfer events
739    memory_transfers: Vec<GpuMemoryTransfer>,
740    /// Kernel execution events
741    kernel_executions: Vec<GpuKernelExecution>,
742}
743
744#[derive(Debug, Clone)]
745/// Gpu Utilization Sample
746pub struct GpuUtilizationSample {
747    /// Sample timestamp
748    pub timestamp: Instant,
749    /// GPU utilization percentage
750    pub gpu_utilization: f64,
751    /// GPU memory utilization percentage
752    pub memory_utilization: f64,
753    /// GPU temperature (Celsius)
754    pub temperature: f64,
755    /// GPU power consumption (Watts)
756    pub power_consumption: f64,
757}
758
759#[derive(Debug, Clone)]
760/// Gpu Memory Transfer
761pub struct GpuMemoryTransfer {
762    /// Transfer start time
763    pub start_time: Instant,
764    /// Transfer duration
765    pub duration: Duration,
766    /// Transfer size (bytes)
767    pub size: usize,
768    /// Transfer direction
769    pub direction: GpuMemoryDirection,
770    /// Bandwidth achieved (GB/s)
771    pub bandwidth: f64,
772}
773
774#[derive(Debug, Clone)]
775/// Gpu Memory Direction
776pub enum GpuMemoryDirection {
777    /// Host to device
778    HostToDevice,
779    /// Device to host
780    DeviceToHost,
781    /// Device to device
782    DeviceToDevice,
783}
784
785#[derive(Debug, Clone)]
786/// Gpu Kernel Execution
787pub struct GpuKernelExecution {
788    /// Kernel name
789    pub name: String,
790    /// Execution start time
791    pub start_time: Instant,
792    /// Execution duration
793    pub duration: Duration,
794    /// Grid dimensions
795    pub grid_size: (u32, u32, u32),
796    /// Block dimensions
797    pub block_size: (u32, u32, u32),
798    /// Shared memory usage (bytes)
799    pub shared_memory: usize,
800    /// Register usage per thread
801    pub registers_per_thread: u32,
802}
803
804#[derive(Debug, Clone, Default)]
805/// Gpu Profiling Report
806pub struct GpuProfilingReport {
807    /// Average GPU utilization
808    pub average_gpu_utilization: f64,
809    /// Peak GPU utilization
810    pub peak_gpu_utilization: f64,
811    /// Average memory utilization
812    pub average_memory_utilization: f64,
813    /// Total memory transfers
814    pub total_memory_transfers: usize,
815    /// Total transfer volume (bytes)
816    pub total_transfer_volume: usize,
817    /// Kernel execution statistics
818    pub kernel_stats: HashMap<String, KernelStatistics>,
819    /// GPU utilization timeline
820    pub utilization_timeline: Vec<GpuUtilizationSample>,
821}
822
823#[derive(Debug, Clone)]
824/// Kernel Statistics
825pub struct KernelStatistics {
826    /// Number of executions
827    pub execution_count: u64,
828    /// Total execution time
829    pub total_time: Duration,
830    /// Average execution time
831    pub average_time: Duration,
832    /// Minimum execution time
833    pub min_time: Duration,
834    /// Maximum execution time
835    pub max_time: Duration,
836}
837
838impl GpuProfiler {
839    fn new(config: ProfilingConfig) -> Self {
840        Self {
841            config,
842            active: false,
843            utilization_samples: VecDeque::new(),
844            memory_transfers: Vec::new(),
845            kernel_executions: Vec::new(),
846        }
847    }
848
849    fn start(&mut self) {
850        self.active = true;
851        self.utilization_samples.clear();
852        self.memory_transfers.clear();
853        self.kernel_executions.clear();
854    }
855
856    fn stop(&mut self) -> GpuProfilingReport {
857        self.active = false;
858
859        let average_gpu_utilization = if self.utilization_samples.is_empty() {
860            0.0
861        } else {
862            self.utilization_samples
863                .iter()
864                .map(|s| s.gpu_utilization)
865                .sum::<f64>()
866                / self.utilization_samples.len() as f64
867        };
868
869        let peak_gpu_utilization = self
870            .utilization_samples
871            .iter()
872            .map(|s| s.gpu_utilization)
873            .fold(0.0, f64::max);
874
875        let average_memory_utilization = if self.utilization_samples.is_empty() {
876            0.0
877        } else {
878            self.utilization_samples
879                .iter()
880                .map(|s| s.memory_utilization)
881                .sum::<f64>()
882                / self.utilization_samples.len() as f64
883        };
884
885        let total_memory_transfers = self.memory_transfers.len();
886        let total_transfer_volume = self.memory_transfers.iter().map(|t| t.size).sum();
887
888        let kernel_stats = self.calculate_kernel_statistics();
889
890        GpuProfilingReport {
891            average_gpu_utilization,
892            peak_gpu_utilization,
893            average_memory_utilization,
894            total_memory_transfers,
895            total_transfer_volume,
896            kernel_stats,
897            utilization_timeline: self.utilization_samples.iter().cloned().collect(),
898        }
899    }
900
901    fn calculate_kernel_statistics(&self) -> HashMap<String, KernelStatistics> {
902        let mut stats = HashMap::new();
903
904        for execution in &self.kernel_executions {
905            let entry = stats
906                .entry(execution.name.clone())
907                .or_insert(KernelStatistics {
908                    execution_count: 0,
909                    total_time: Duration::from_secs(0),
910                    average_time: Duration::from_secs(0),
911                    min_time: Duration::from_secs(u64::MAX),
912                    max_time: Duration::from_secs(0),
913                });
914
915            entry.execution_count += 1;
916            entry.total_time += execution.duration;
917            entry.min_time = entry.min_time.min(execution.duration);
918            entry.max_time = entry.max_time.max(execution.duration);
919        }
920
921        // Calculate averages
922        for stat in stats.values_mut() {
923            if stat.execution_count > 0 {
924                stat.average_time = stat.total_time / stat.execution_count as u32;
925            }
926        }
927
928        stats
929    }
930
931    /// Add GPU utilization sample
932    pub fn add_utilization_sample(
933        &mut self,
934        gpu_util: f64,
935        memory_util: f64,
936        temperature: f64,
937        power: f64,
938    ) {
939        if !self.active {
940            return;
941        }
942
943        let sample = GpuUtilizationSample {
944            timestamp: Instant::now(),
945            gpu_utilization: gpu_util,
946            memory_utilization: memory_util,
947            temperature,
948            power_consumption: power,
949        };
950
951        self.utilization_samples.push_back(sample);
952
953        while self.utilization_samples.len() > self.config.max_data_points {
954            self.utilization_samples.pop_front();
955        }
956    }
957
958    /// Track memory transfer
959    pub fn track_memory_transfer(
960        &mut self,
961        size: usize,
962        direction: GpuMemoryDirection,
963        duration: Duration,
964    ) {
965        if !self.active {
966            return;
967        }
968
969        let bandwidth = if duration.as_secs_f64() > 0.0 {
970            (size as f64) / duration.as_secs_f64() / (1024.0 * 1024.0 * 1024.0) // GB/s
971        } else {
972            0.0
973        };
974
975        let transfer = GpuMemoryTransfer {
976            start_time: Instant::now(),
977            duration,
978            size,
979            direction,
980            bandwidth,
981        };
982
983        self.memory_transfers.push(transfer);
984    }
985
986    /// Track kernel execution
987    pub fn track_kernel_execution(
988        &mut self,
989        name: String,
990        duration: Duration,
991        grid_size: (u32, u32, u32),
992        block_size: (u32, u32, u32),
993    ) {
994        if !self.active {
995            return;
996        }
997
998        let execution = GpuKernelExecution {
999            name,
1000            start_time: Instant::now(),
1001            duration,
1002            grid_size,
1003            block_size,
1004            shared_memory: 0,         // Simplified
1005            registers_per_thread: 32, // Simplified
1006        };
1007
1008        self.kernel_executions.push(execution);
1009    }
1010}
1011
1012/// Network profiler implementation
1013#[derive(Debug)]
1014/// Network Profiler
1015pub struct NetworkProfiler {
1016    /// Configuration
1017    config: ProfilingConfig,
1018    /// Profiling active
1019    active: bool,
1020    /// Network requests
1021    requests: Vec<NetworkRequest>,
1022    /// Bandwidth samples
1023    bandwidth_samples: VecDeque<BandwidthSample>,
1024}
1025
1026#[derive(Debug, Clone)]
1027/// Network Request
1028pub struct NetworkRequest {
1029    /// Request ID
1030    pub id: String,
1031    /// Request URL
1032    pub url: String,
1033    /// Request method
1034    pub method: String,
1035    /// Request start time
1036    pub start_time: Instant,
1037    /// Request duration
1038    pub duration: Duration,
1039    /// Request size (bytes)
1040    pub request_size: usize,
1041    /// Response size (bytes)
1042    pub response_size: usize,
1043    /// Response status code
1044    pub status_code: u16,
1045    /// Connection reused
1046    pub connection_reused: bool,
1047}
1048
1049#[derive(Debug, Clone)]
1050/// Bandwidth Sample
1051pub struct BandwidthSample {
1052    /// Sample timestamp
1053    pub timestamp: Instant,
1054    /// Upload bandwidth (bytes/sec)
1055    pub upload_bandwidth: f64,
1056    /// Download bandwidth (bytes/sec)
1057    pub download_bandwidth: f64,
1058    /// Latency (milliseconds)
1059    pub latency: f64,
1060}
1061
1062#[derive(Debug, Clone, Default)]
1063/// Network Profiling Report
1064pub struct NetworkProfilingReport {
1065    /// Total requests
1066    pub total_requests: usize,
1067    /// Average request duration
1068    pub average_request_duration: Duration,
1069    /// Total bytes sent
1070    pub total_bytes_sent: usize,
1071    /// Total bytes received
1072    pub total_bytes_received: usize,
1073    /// Average bandwidth
1074    pub average_bandwidth: f64,
1075    /// Request statistics by endpoint
1076    pub endpoint_stats: HashMap<String, EndpointStatistics>,
1077    /// Bandwidth timeline
1078    pub bandwidth_timeline: Vec<BandwidthSample>,
1079}
1080
1081#[derive(Debug, Clone)]
1082/// Endpoint Statistics
1083pub struct EndpointStatistics {
1084    /// Number of requests
1085    pub request_count: usize,
1086    /// Average response time
1087    pub average_response_time: Duration,
1088    /// Success rate
1089    pub success_rate: f64,
1090    /// Error count
1091    pub error_count: usize,
1092}
1093
1094impl NetworkProfiler {
1095    fn new(config: ProfilingConfig) -> Self {
1096        Self {
1097            config,
1098            active: false,
1099            requests: Vec::new(),
1100            bandwidth_samples: VecDeque::new(),
1101        }
1102    }
1103
1104    fn start(&mut self) {
1105        self.active = true;
1106        self.requests.clear();
1107        self.bandwidth_samples.clear();
1108    }
1109
1110    fn stop(&mut self) -> NetworkProfilingReport {
1111        self.active = false;
1112
1113        let total_requests = self.requests.len();
1114
1115        let average_request_duration = if self.requests.is_empty() {
1116            Duration::from_secs(0)
1117        } else {
1118            let total_duration: Duration = self.requests.iter().map(|r| r.duration).sum();
1119            total_duration / self.requests.len() as u32
1120        };
1121
1122        let total_bytes_sent = self.requests.iter().map(|r| r.request_size).sum();
1123        let total_bytes_received = self.requests.iter().map(|r| r.response_size).sum();
1124
1125        let average_bandwidth = if self.bandwidth_samples.is_empty() {
1126            0.0
1127        } else {
1128            self.bandwidth_samples
1129                .iter()
1130                .map(|s| s.download_bandwidth)
1131                .sum::<f64>()
1132                / self.bandwidth_samples.len() as f64
1133        };
1134
1135        let endpoint_stats = self.calculate_endpoint_statistics();
1136
1137        NetworkProfilingReport {
1138            total_requests,
1139            average_request_duration,
1140            total_bytes_sent,
1141            total_bytes_received,
1142            average_bandwidth,
1143            endpoint_stats,
1144            bandwidth_timeline: self.bandwidth_samples.iter().cloned().collect(),
1145        }
1146    }
1147
1148    fn calculate_endpoint_statistics(&self) -> HashMap<String, EndpointStatistics> {
1149        let mut stats = HashMap::new();
1150
1151        for request in &self.requests {
1152            let entry = stats
1153                .entry(request.url.clone())
1154                .or_insert(EndpointStatistics {
1155                    request_count: 0,
1156                    average_response_time: Duration::from_secs(0),
1157                    success_rate: 0.0,
1158                    error_count: 0,
1159                });
1160
1161            entry.request_count += 1;
1162
1163            if request.status_code >= 400 {
1164                entry.error_count += 1;
1165            }
1166        }
1167
1168        // Calculate averages and success rates
1169        for (url, stat) in &mut stats {
1170            let url_requests: Vec<&NetworkRequest> =
1171                self.requests.iter().filter(|r| r.url == *url).collect();
1172
1173            if !url_requests.is_empty() {
1174                let total_duration: Duration = url_requests.iter().map(|r| r.duration).sum();
1175                stat.average_response_time = total_duration / url_requests.len() as u32;
1176
1177                let success_count = url_requests.iter().filter(|r| r.status_code < 400).count();
1178                stat.success_rate = success_count as f64 / url_requests.len() as f64;
1179            }
1180        }
1181
1182        stats
1183    }
1184
1185    /// Track network request
1186    pub fn track_request(&mut self, request: NetworkRequest) {
1187        if !self.active {
1188            return;
1189        }
1190
1191        self.requests.push(request);
1192    }
1193
1194    /// Add bandwidth sample
1195    pub fn add_bandwidth_sample(&mut self, upload: f64, download: f64, latency: f64) {
1196        if !self.active {
1197            return;
1198        }
1199
1200        let sample = BandwidthSample {
1201            timestamp: Instant::now(),
1202            upload_bandwidth: upload,
1203            download_bandwidth: download,
1204            latency,
1205        };
1206
1207        self.bandwidth_samples.push_back(sample);
1208
1209        while self.bandwidth_samples.len() > self.config.max_data_points {
1210            self.bandwidth_samples.pop_front();
1211        }
1212    }
1213}
1214
1215/// Custom event profiler
1216#[derive(Debug)]
1217/// Custom Profiler
1218pub struct CustomProfiler {
1219    /// Configuration
1220    config: ProfilingConfig,
1221    /// Custom events
1222    events: Vec<CustomEvent>,
1223    /// Function call hierarchy
1224    function_stack: Vec<String>,
1225    /// Function timing data
1226    function_timings: HashMap<String, Vec<Duration>>,
1227}
1228
1229#[derive(Debug, Clone)]
1230/// Custom Event
1231pub struct CustomEvent {
1232    /// Event name
1233    pub name: String,
1234    /// Event timestamp
1235    pub timestamp: Instant,
1236    /// Event data
1237    pub data: CustomEventData,
1238    /// Event tags
1239    pub tags: HashMap<String, String>,
1240}
1241
1242#[derive(Debug, Clone)]
1243/// Custom Event Data
1244pub enum CustomEventData {
1245    /// Counter value
1246    Counter(u64),
1247    /// Gauge value
1248    Gauge(f64),
1249    /// Duration measurement
1250    Duration(Duration),
1251    /// Text message
1252    Message(String),
1253    /// Structured data
1254    Structured(HashMap<String, String>),
1255}
1256
1257#[derive(Debug, Clone, Default)]
1258/// Custom Profiling Report
1259pub struct CustomProfilingReport {
1260    /// All custom events
1261    pub events: Vec<CustomEvent>,
1262    /// Function timing statistics
1263    pub function_timings: HashMap<String, FunctionTimingStats>,
1264    /// Event frequency by name
1265    pub event_frequency: HashMap<String, usize>,
1266}
1267
1268#[derive(Debug, Clone)]
1269/// Function Timing Stats
1270pub struct FunctionTimingStats {
1271    /// Number of calls
1272    pub call_count: usize,
1273    /// Total time
1274    pub total_time: Duration,
1275    /// Average time
1276    pub average_time: Duration,
1277    /// Minimum time
1278    pub min_time: Duration,
1279    /// Maximum time
1280    pub max_time: Duration,
1281    /// 95th percentile time
1282    pub p95_time: Duration,
1283}
1284
1285impl CustomProfiler {
1286    fn new(config: ProfilingConfig) -> Self {
1287        Self {
1288            config,
1289            events: Vec::new(),
1290            function_stack: Vec::new(),
1291            function_timings: HashMap::new(),
1292        }
1293    }
1294
1295    /// Add custom event
1296    pub fn add_event(&mut self, name: String, data: CustomEventData) {
1297        let event = CustomEvent {
1298            name,
1299            timestamp: Instant::now(),
1300            data,
1301            tags: HashMap::new(),
1302        };
1303
1304        self.events.push(event);
1305    }
1306
1307    /// Mark function entry
1308    pub fn mark_function_entry(&mut self, name: &str) {
1309        self.function_stack.push(name.to_string());
1310    }
1311
1312    /// Mark function exit
1313    pub fn mark_function_exit(&mut self, name: &str) {
1314        if let Some(current) = self.function_stack.last() {
1315            if current == name {
1316                self.function_stack.pop();
1317            }
1318        }
1319    }
1320
1321    /// Get profiling report
1322    #[must_use]
1323    pub fn get_report(&self) -> CustomProfilingReport {
1324        let mut event_frequency = HashMap::new();
1325        for event in &self.events {
1326            *event_frequency.entry(event.name.clone()).or_insert(0) += 1;
1327        }
1328
1329        let function_timings = self.calculate_function_timing_stats();
1330
1331        CustomProfilingReport {
1332            events: self.events.clone(),
1333            function_timings,
1334            event_frequency,
1335        }
1336    }
1337
1338    fn calculate_function_timing_stats(&self) -> HashMap<String, FunctionTimingStats> {
1339        let mut stats = HashMap::new();
1340
1341        for (function_name, timings) in &self.function_timings {
1342            if timings.is_empty() {
1343                continue;
1344            }
1345
1346            let mut sorted_timings = timings.clone();
1347            sorted_timings.sort();
1348
1349            let call_count = timings.len();
1350            let total_time = timings.iter().sum();
1351            let average_time = total_time / call_count as u32;
1352            let min_time = sorted_timings[0];
1353            let max_time = sorted_timings[call_count - 1];
1354            let p95_index = (call_count as f64 * 0.95) as usize;
1355            let p95_time = sorted_timings[p95_index.min(call_count - 1)];
1356
1357            stats.insert(
1358                function_name.clone(),
1359                FunctionTimingStats {
1360                    call_count,
1361                    total_time,
1362                    average_time,
1363                    min_time,
1364                    max_time,
1365                    p95_time,
1366                },
1367            );
1368        }
1369
1370        stats
1371    }
1372}
1373
1374/// Profiling macros for easy instrumentation
1375#[macro_export]
1376macro_rules! profile_function {
1377    ($profiler:expr, $name:expr, $body:expr) => {{
1378        let (result, profile) = $profiler.profile_function($name, || $body);
1379        println!(
1380            "Function '{}' took {}ms",
1381            profile.name,
1382            profile.duration.as_millis()
1383        );
1384        result
1385    }};
1386}
1387
1388#[macro_export]
1389/// Macro rules
1390macro_rules! profile_block {
1391    ($profiler:expr, $name:expr, $block:block) => {{
1392        let start = std::time::Instant::now();
1393        let result = $block;
1394        let duration = start.elapsed();
1395        $profiler.add_custom_event(
1396            format!("block_{}", $name),
1397            $crate::monitoring::performance_profiling::CustomEventData::Duration(duration),
1398        );
1399        result
1400    }};
1401}
1402
1403#[cfg(test)]
1404mod tests {
1405    use super::*;
1406
1407    #[test]
1408    fn test_performance_profiler_creation() {
1409        let config = ProfilingConfig::default();
1410        let profiler = PerformanceProfiler::new(config);
1411
1412        assert!(profiler.get_current_session().is_none());
1413    }
1414
1415    #[test]
1416    fn test_profiling_session() {
1417        let config = ProfilingConfig::default();
1418        let profiler = PerformanceProfiler::new(config);
1419
1420        let session_id = profiler.start_session("test_session".to_string(), HashMap::new());
1421
1422        assert!(!session_id.is_empty());
1423        assert!(profiler.get_current_session().is_some());
1424
1425        let report = profiler.stop_session();
1426        assert!(report.is_some());
1427        assert!(profiler.get_current_session().is_none());
1428    }
1429
1430    #[test]
1431    fn test_function_profiling() {
1432        let config = ProfilingConfig::default();
1433        let profiler = PerformanceProfiler::new(config);
1434
1435        let (result, profile) = profiler.profile_function("test_function", || {
1436            thread::sleep(Duration::from_millis(10));
1437            42
1438        });
1439
1440        assert_eq!(result, 42);
1441        assert_eq!(profile.name, "test_function");
1442        assert!(profile.duration >= Duration::from_millis(10));
1443    }
1444
1445    #[test]
1446    fn test_cpu_profiler() {
1447        let config = ProfilingConfig::default();
1448        let mut cpu_profiler = CpuProfiler::new(config);
1449
1450        cpu_profiler.start();
1451        cpu_profiler.enter_function("test_function");
1452        cpu_profiler.add_sample(50.0);
1453        thread::sleep(Duration::from_millis(1));
1454        cpu_profiler.exit_function("test_function");
1455
1456        let report = cpu_profiler.stop();
1457        assert!(report.hot_spots.contains_key("test_function"));
1458        assert_eq!(report.cpu_timeline.len(), 1);
1459        assert_eq!(report.cpu_timeline[0].cpu_usage, 50.0);
1460    }
1461
1462    #[test]
1463    fn test_memory_profiler() {
1464        let config = ProfilingConfig::default();
1465        let mut memory_profiler = MemoryProfiler::new(config);
1466
1467        memory_profiler.start();
1468        memory_profiler.track_allocation(0x1000, 2048, "test_allocation".to_string());
1469        // Don't deallocate to test that allocations are tracked
1470
1471        let report = memory_profiler.stop();
1472        assert_eq!(report.allocation_count, 1); // Still allocated
1473        assert!(report.allocation_hot_spots.contains_key("test_allocation"));
1474    }
1475
1476    #[test]
1477    fn test_custom_profiler() {
1478        let config = ProfilingConfig::default();
1479        let mut custom_profiler = CustomProfiler::new(config);
1480
1481        custom_profiler.add_event("test_event".to_string(), CustomEventData::Counter(42));
1482
1483        custom_profiler.mark_function_entry("test_function");
1484        custom_profiler.mark_function_exit("test_function");
1485
1486        let report = custom_profiler.get_report();
1487        assert_eq!(report.events.len(), 1);
1488        assert_eq!(report.event_frequency.get("test_event"), Some(&1));
1489    }
1490}
voirs_recognizer/monitoring/performance_profiling.rs

voirs_recognizer/monitoring/
performance_profiling.rs
