sklears_compose/
stress_testing.rs

1//! Stress Testing Framework for Complex Pipelines
2//!
3//! Comprehensive stress testing framework for evaluating pipeline performance under
4//! extreme conditions including high load, resource constraints, and edge cases.
5
6use chrono::{DateTime, Utc};
7use scirs2_core::ndarray::{Array1, Array2};
8use scirs2_core::random::{thread_rng, Rng};
9use serde::{Deserialize, Serialize};
10use sklears_core::{error::Result as SklResult, traits::Estimator};
11use std::collections::HashMap;
12use std::sync::{Arc, Mutex};
13use std::thread;
14use std::time::{Duration, Instant};
15
16/// Stress testing framework for complex machine learning pipelines
17pub struct StressTester {
18    /// Test configuration
19    pub config: StressTestConfig,
20    /// Resource monitoring
21    pub resource_monitor: ResourceMonitor,
22    /// Test scenarios
23    pub scenarios: Vec<StressTestScenario>,
24    /// Results storage
25    pub results: Vec<StressTestResult>,
26}
27
28/// Configuration for stress testing
29#[derive(Debug, Clone, Serialize, Deserialize)]
30pub struct StressTestConfig {
31    /// Maximum test duration
32    pub max_duration: Duration,
33    /// Memory limit in MB
34    pub memory_limit_mb: u64,
35    /// CPU usage threshold (0.0 to 1.0)
36    pub cpu_threshold: f64,
37    /// Number of concurrent threads
38    pub max_threads: usize,
39    /// Data scale factors to test
40    pub data_scale_factors: Vec<f64>,
41    /// Pipeline complexity levels
42    pub complexity_levels: Vec<usize>,
43    /// Error tolerance threshold
44    pub error_tolerance: f64,
45    /// Performance degradation threshold
46    pub performance_threshold: f64,
47    /// Enable memory leak detection
48    pub detect_memory_leaks: bool,
49    /// Enable deadlock detection
50    pub detect_deadlocks: bool,
51}
52
53impl Default for StressTestConfig {
54    fn default() -> Self {
55        Self {
56            max_duration: Duration::from_secs(300), // 5 minutes
57            memory_limit_mb: 2048,                  // 2GB
58            cpu_threshold: 0.95,
59            max_threads: 16,
60            data_scale_factors: vec![1.0, 5.0, 10.0, 50.0, 100.0],
61            complexity_levels: vec![1, 5, 10, 25, 50],
62            error_tolerance: 0.01,
63            performance_threshold: 2.0, // 2x slowdown threshold
64            detect_memory_leaks: true,
65            detect_deadlocks: true,
66        }
67    }
68}
69
70/// Different stress test scenarios
71#[derive(Debug, Clone, Serialize, Deserialize)]
72pub enum StressTestScenario {
73    /// High volume data processing
74    HighVolumeData {
75        scale_factor: f64,
76        batch_size: usize,
77    },
78    /// Concurrent pipeline execution
79    ConcurrentExecution {
80        num_threads: usize,
81        num_pipelines: usize,
82    },
83    /// Memory pressure testing
84    MemoryPressure {
85        target_memory_mb: u64,
86        allocation_pattern: MemoryPattern,
87    },
88    /// CPU intensive operations
89    CpuIntensive {
90        complexity_level: usize,
91        computation_type: ComputationType,
92    },
93    /// Long running stability test
94    LongRunning {
95        duration: Duration,
96        operation_interval: Duration,
97    },
98    /// Resource starvation
99    ResourceStarvation {
100        memory_limit_mb: u64,
101        cpu_limit_percent: f64,
102    },
103    /// Edge case handling
104    EdgeCaseHandling { edge_cases: Vec<EdgeCase> },
105}
106
107/// Memory allocation patterns for testing
108#[derive(Debug, Clone, Serialize, Deserialize)]
109pub enum MemoryPattern {
110    /// Gradual increase
111    Gradual,
112    /// Sudden spikes
113    Spiky,
114    /// Fragmented allocations
115    Fragmented,
116    /// Sustained high usage
117    Sustained,
118}
119
120/// Computation types for CPU stress testing
121#[derive(Debug, Clone, Serialize, Deserialize)]
122pub enum ComputationType {
123    /// Matrix operations
124    MatrixOps,
125    /// Iterative algorithms
126    Iterative,
127    /// Recursive operations
128    Recursive,
129    /// Parallel computations
130    Parallel,
131}
132
133/// Edge cases for stress testing
134#[derive(Debug, Clone, Serialize, Deserialize)]
135pub enum EdgeCase {
136    /// Empty datasets
137    EmptyData,
138    /// Single sample datasets
139    SingleSample,
140    /// Extremely large feature dimensions
141    HighDimensional { dimensions: usize },
142    /// Datasets with all identical values
143    IdenticalValues,
144    /// Datasets with extreme outliers
145    ExtremeOutliers { outlier_magnitude: f64 },
146    /// Datasets with missing values
147    MissingValues { missing_ratio: f64 },
148    /// Highly correlated features
149    HighlyCorrelated { correlation: f64 },
150    /// Numerical precision edge cases
151    NumericalEdges,
152}
153
154/// Resource monitoring during stress tests
155#[derive(Debug, Clone)]
156pub struct ResourceMonitor {
157    /// Memory usage samples
158    pub memory_usage: Arc<Mutex<Vec<(DateTime<Utc>, u64)>>>,
159    /// CPU usage samples
160    pub cpu_usage: Arc<Mutex<Vec<(DateTime<Utc>, f64)>>>,
161    /// Thread count samples
162    pub thread_count: Arc<Mutex<Vec<(DateTime<Utc>, usize)>>>,
163    /// Monitoring active flag
164    pub monitoring_active: Arc<Mutex<bool>>,
165}
166
167impl ResourceMonitor {
168    #[must_use]
169    pub fn new() -> Self {
170        Self {
171            memory_usage: Arc::new(Mutex::new(Vec::new())),
172            cpu_usage: Arc::new(Mutex::new(Vec::new())),
173            thread_count: Arc::new(Mutex::new(Vec::new())),
174            monitoring_active: Arc::new(Mutex::new(false)),
175        }
176    }
177
178    /// Start resource monitoring
179    pub fn start_monitoring(&self, interval: Duration) {
180        let memory_usage = self.memory_usage.clone();
181        let cpu_usage = self.cpu_usage.clone();
182        let thread_count = self.thread_count.clone();
183        let active = self.monitoring_active.clone();
184
185        *active.lock().unwrap_or_else(|e| e.into_inner()) = true;
186
187        thread::spawn(move || {
188            while *active.lock().unwrap_or_else(|e| e.into_inner()) {
189                let now = Utc::now();
190
191                // Mock resource monitoring (in real implementation, use system APIs)
192                let memory_mb = Self::get_current_memory_usage();
193                let cpu_percent = Self::get_current_cpu_usage();
194                let threads = Self::get_current_thread_count();
195
196                memory_usage
197                    .lock()
198                    .unwrap_or_else(|e| e.into_inner())
199                    .push((now, memory_mb));
200                cpu_usage
201                    .lock()
202                    .unwrap_or_else(|e| e.into_inner())
203                    .push((now, cpu_percent));
204                thread_count
205                    .lock()
206                    .unwrap_or_else(|e| e.into_inner())
207                    .push((now, threads));
208
209                thread::sleep(interval);
210            }
211        });
212    }
213
214    /// Stop resource monitoring
215    pub fn stop_monitoring(&self) {
216        *self
217            .monitoring_active
218            .lock()
219            .unwrap_or_else(|e| e.into_inner()) = false;
220    }
221
222    /// Get current memory usage (mock implementation)
223    fn get_current_memory_usage() -> u64 {
224        // In real implementation, use system APIs to get actual memory usage
225        thread_rng().random::<u64>() % 1024 + 100 // Mock: 100-1124 MB
226    }
227
228    /// Get current CPU usage (mock implementation)
229    fn get_current_cpu_usage() -> f64 {
230        // In real implementation, use system APIs to get actual CPU usage
231        thread_rng().gen_range(0.1..0.9) // Mock: 10-90%
232    }
233
234    /// Get current thread count (mock implementation)
235    fn get_current_thread_count() -> usize {
236        // In real implementation, count actual threads
237        thread_rng().gen_range(1..=20) // Mock: 1-20 threads
238    }
239
240    /// Get memory usage statistics
241    #[must_use]
242    pub fn get_memory_stats(&self) -> ResourceStats {
243        let usage = self.memory_usage.lock().unwrap_or_else(|e| e.into_inner());
244        if usage.is_empty() {
245            return ResourceStats::default();
246        }
247
248        let values: Vec<f64> = usage.iter().map(|(_, mem)| *mem as f64).collect();
249        ResourceStats::from_values(&values)
250    }
251
252    /// Get CPU usage statistics
253    #[must_use]
254    pub fn get_cpu_stats(&self) -> ResourceStats {
255        let usage = self.cpu_usage.lock().unwrap_or_else(|e| e.into_inner());
256        if usage.is_empty() {
257            return ResourceStats::default();
258        }
259
260        let values: Vec<f64> = usage.iter().map(|(_, cpu)| *cpu).collect();
261        ResourceStats::from_values(&values)
262    }
263}
264
265impl Default for ResourceMonitor {
266    fn default() -> Self {
267        Self::new()
268    }
269}
270
271/// Resource usage statistics
272#[derive(Debug, Clone, Serialize, Deserialize)]
273pub struct ResourceStats {
274    pub min: f64,
275    pub max: f64,
276    pub mean: f64,
277    pub std_dev: f64,
278    pub percentile_95: f64,
279    pub percentile_99: f64,
280}
281
282impl ResourceStats {
283    fn from_values(values: &[f64]) -> Self {
284        if values.is_empty() {
285            return Self::default();
286        }
287
288        let mut sorted = values.to_vec();
289        sorted.sort_by(|a, b| a.partial_cmp(b).unwrap_or(std::cmp::Ordering::Equal));
290
291        let min = sorted[0];
292        let max = sorted[sorted.len() - 1];
293        let mean = values.iter().sum::<f64>() / values.len() as f64;
294
295        let variance = values.iter().map(|x| (x - mean).powi(2)).sum::<f64>() / values.len() as f64;
296        let std_dev = variance.sqrt();
297
298        let p95_idx = (0.95 * (sorted.len() - 1) as f64) as usize;
299        let p99_idx = (0.99 * (sorted.len() - 1) as f64) as usize;
300        let percentile_95 = sorted[p95_idx];
301        let percentile_99 = sorted[p99_idx];
302
303        Self {
304            min,
305            max,
306            mean,
307            std_dev,
308            percentile_95,
309            percentile_99,
310        }
311    }
312}
313
314impl Default for ResourceStats {
315    fn default() -> Self {
316        Self {
317            min: 0.0,
318            max: 0.0,
319            mean: 0.0,
320            std_dev: 0.0,
321            percentile_95: 0.0,
322            percentile_99: 0.0,
323        }
324    }
325}
326
327/// Result of a stress test
328#[derive(Debug, Clone, Serialize, Deserialize)]
329pub struct StressTestResult {
330    /// Test scenario
331    pub scenario: StressTestScenario,
332    /// Test success status
333    pub success: bool,
334    /// Execution time
335    pub execution_time: Duration,
336    /// Peak memory usage (MB)
337    pub peak_memory_mb: u64,
338    /// Average CPU usage
339    pub avg_cpu_usage: f64,
340    /// Throughput (operations per second)
341    pub throughput: f64,
342    /// Error count
343    pub error_count: usize,
344    /// Performance degradation factor
345    pub performance_degradation: f64,
346    /// Resource usage statistics
347    pub resource_stats: ResourceUsageStats,
348    /// Detected issues
349    pub issues: Vec<StressTestIssue>,
350    /// Additional metrics
351    pub metrics: HashMap<String, f64>,
352}
353
354/// Resource usage statistics for stress test
355#[derive(Debug, Clone, Serialize, Deserialize)]
356pub struct ResourceUsageStats {
357    pub memory: ResourceStats,
358    pub cpu: ResourceStats,
359    pub max_threads: usize,
360    pub io_operations: u64,
361}
362
363/// Issues detected during stress testing
364#[derive(Debug, Clone, Serialize, Deserialize)]
365pub enum StressTestIssue {
366    /// Memory leak detected
367    MemoryLeak {
368        initial_memory: u64,
369        final_memory: u64,
370        leak_rate_mb_per_sec: f64,
371    },
372    /// Deadlock detected
373    Deadlock {
374        thread_ids: Vec<usize>,
375        duration: Duration,
376    },
377    /// Performance degradation
378    PerformanceDegradation {
379        baseline_time: Duration,
380        actual_time: Duration,
381        degradation_factor: f64,
382    },
383    /// Resource exhaustion
384    ResourceExhaustion {
385        resource_type: String,
386        limit: f64,
387        peak_usage: f64,
388    },
389    /// Error rate spike
390    ErrorRateSpike {
391        baseline_error_rate: f64,
392        actual_error_rate: f64,
393        spike_factor: f64,
394    },
395    /// Timeout
396    Timeout {
397        expected_duration: Duration,
398        actual_duration: Duration,
399    },
400}
401
402impl StressTester {
403    /// Create a new stress tester
404    #[must_use]
405    pub fn new(config: StressTestConfig) -> Self {
406        Self {
407            config,
408            resource_monitor: ResourceMonitor::new(),
409            scenarios: Vec::new(),
410            results: Vec::new(),
411        }
412    }
413
414    /// Add a stress test scenario
415    pub fn add_scenario(&mut self, scenario: StressTestScenario) {
416        self.scenarios.push(scenario);
417    }
418
419    /// Run all stress test scenarios
420    pub fn run_all_tests<T: Estimator + Send + Sync>(&mut self, pipeline: &T) -> SklResult<()> {
421        for scenario in self.scenarios.clone() {
422            let result = self.run_scenario(pipeline, &scenario)?;
423            self.results.push(result);
424        }
425        Ok(())
426    }
427
428    /// Run a specific stress test scenario
429    pub fn run_scenario<T: Estimator + Send + Sync>(
430        &self,
431        pipeline: &T,
432        scenario: &StressTestScenario,
433    ) -> SklResult<StressTestResult> {
434        let start_time = Instant::now();
435
436        // Start resource monitoring
437        self.resource_monitor
438            .start_monitoring(Duration::from_millis(100));
439
440        let mut result = match scenario {
441            StressTestScenario::HighVolumeData {
442                scale_factor,
443                batch_size,
444            } => self.test_high_volume_data(pipeline, *scale_factor, *batch_size)?,
445            StressTestScenario::ConcurrentExecution {
446                num_threads,
447                num_pipelines,
448            } => self.test_concurrent_execution(pipeline, *num_threads, *num_pipelines)?,
449            StressTestScenario::MemoryPressure {
450                target_memory_mb,
451                allocation_pattern,
452            } => self.test_memory_pressure(pipeline, *target_memory_mb, allocation_pattern)?,
453            StressTestScenario::CpuIntensive {
454                complexity_level,
455                computation_type,
456            } => self.test_cpu_intensive(pipeline, *complexity_level, computation_type)?,
457            StressTestScenario::LongRunning {
458                duration,
459                operation_interval,
460            } => self.test_long_running(pipeline, *duration, *operation_interval)?,
461            StressTestScenario::ResourceStarvation {
462                memory_limit_mb,
463                cpu_limit_percent,
464            } => self.test_resource_starvation(pipeline, *memory_limit_mb, *cpu_limit_percent)?,
465            StressTestScenario::EdgeCaseHandling { edge_cases } => {
466                self.test_edge_cases(pipeline, edge_cases)?
467            }
468        };
469
470        // Stop resource monitoring
471        self.resource_monitor.stop_monitoring();
472
473        // Update result with resource statistics
474        result.resource_stats.memory = self.resource_monitor.get_memory_stats();
475        result.resource_stats.cpu = self.resource_monitor.get_cpu_stats();
476        result.execution_time = start_time.elapsed();
477
478        // Detect issues
479        result.issues = self.detect_issues(&result);
480
481        Ok(result)
482    }
483
484    /// Test high volume data processing
485    fn test_high_volume_data<T: Estimator>(
486        &self,
487        _pipeline: &T,
488        scale_factor: f64,
489        _batch_size: usize,
490    ) -> SklResult<StressTestResult> {
491        // Generate large dataset
492        let n_samples = (10000.0 * scale_factor) as usize;
493        let n_features = 100;
494
495        let data = Array2::<f64>::zeros((n_samples, n_features));
496        let _targets = Array1::<f64>::zeros(n_samples);
497
498        // Mock processing
499        thread::sleep(Duration::from_millis((scale_factor * 100.0) as u64));
500
501        Ok(StressTestResult {
502            scenario: StressTestScenario::HighVolumeData {
503                scale_factor,
504                batch_size: _batch_size,
505            },
506            success: true,
507            execution_time: Duration::default(),
508            peak_memory_mb: (n_samples * n_features * 8) as u64 / (1024 * 1024), // Approx memory usage
509            avg_cpu_usage: 0.7,
510            throughput: n_samples as f64 / (scale_factor * 0.1), // Mock throughput
511            error_count: 0,
512            performance_degradation: scale_factor,
513            resource_stats: ResourceUsageStats::default(),
514            issues: Vec::new(),
515            metrics: HashMap::new(),
516        })
517    }
518
519    /// Test concurrent pipeline execution
520    fn test_concurrent_execution<T: Estimator + Send + Sync>(
521        &self,
522        _pipeline: &T,
523        num_threads: usize,
524        num_pipelines: usize,
525    ) -> SklResult<StressTestResult> {
526        let handles = (0..num_threads)
527            .map(|_| {
528                thread::spawn(move || {
529                    for _ in 0..num_pipelines {
530                        // Mock pipeline execution
531                        thread::sleep(Duration::from_millis(10));
532                    }
533                })
534            })
535            .collect::<Vec<_>>();
536
537        for handle in handles {
538            handle.join().unwrap_or_else(|_| Default::default());
539        }
540
541        Ok(StressTestResult {
542            scenario: StressTestScenario::ConcurrentExecution {
543                num_threads,
544                num_pipelines,
545            },
546            success: true,
547            execution_time: Duration::default(),
548            peak_memory_mb: (num_threads * num_pipelines * 10) as u64, // Mock memory usage
549            avg_cpu_usage: 0.8,
550            throughput: (num_threads * num_pipelines) as f64,
551            error_count: 0,
552            performance_degradation: 1.2,
553            resource_stats: ResourceUsageStats::default(),
554            issues: Vec::new(),
555            metrics: HashMap::new(),
556        })
557    }
558
559    /// Test memory pressure scenarios
560    fn test_memory_pressure<T: Estimator>(
561        &self,
562        _pipeline: &T,
563        target_memory_mb: u64,
564        _pattern: &MemoryPattern,
565    ) -> SklResult<StressTestResult> {
566        // Allocate memory to create pressure
567        let mut _memory_hogs: Vec<Vec<u8>> = Vec::new();
568        let chunk_size = 1024 * 1024; // 1MB chunks
569
570        for _ in 0..(target_memory_mb as usize) {
571            _memory_hogs.push(vec![0u8; chunk_size]);
572        }
573
574        // Mock processing under memory pressure
575        thread::sleep(Duration::from_millis(500));
576
577        Ok(StressTestResult {
578            scenario: StressTestScenario::MemoryPressure {
579                target_memory_mb,
580                allocation_pattern: _pattern.clone(),
581            },
582            success: true,
583            execution_time: Duration::default(),
584            peak_memory_mb: target_memory_mb,
585            avg_cpu_usage: 0.5,
586            throughput: 100.0 / (target_memory_mb as f64 / 1000.0), // Inverse relationship
587            error_count: 0,
588            performance_degradation: target_memory_mb as f64 / 1000.0,
589            resource_stats: ResourceUsageStats::default(),
590            issues: Vec::new(),
591            metrics: HashMap::new(),
592        })
593    }
594
595    /// Test CPU intensive operations
596    fn test_cpu_intensive<T: Estimator>(
597        &self,
598        _pipeline: &T,
599        complexity_level: usize,
600        _computation_type: &ComputationType,
601    ) -> SklResult<StressTestResult> {
602        // Perform CPU intensive computation
603        let mut result = 0.0;
604        for i in 0..(complexity_level * 10000) {
605            result += (i as f64).sin().cos().tan();
606        }
607
608        Ok(StressTestResult {
609            scenario: StressTestScenario::CpuIntensive {
610                complexity_level,
611                computation_type: _computation_type.clone(),
612            },
613            success: true,
614            execution_time: Duration::default(),
615            peak_memory_mb: 50, // Low memory usage
616            avg_cpu_usage: 0.95,
617            throughput: complexity_level as f64,
618            error_count: 0,
619            performance_degradation: complexity_level as f64 / 10.0,
620            resource_stats: ResourceUsageStats::default(),
621            issues: Vec::new(),
622            metrics: HashMap::from([("computation_result".to_string(), result)]),
623        })
624    }
625
626    /// Test long running stability
627    fn test_long_running<T: Estimator>(
628        &self,
629        _pipeline: &T,
630        duration: Duration,
631        operation_interval: Duration,
632    ) -> SklResult<StressTestResult> {
633        let start = Instant::now();
634        let mut operations = 0;
635
636        while start.elapsed() < duration {
637            // Mock operation
638            thread::sleep(operation_interval);
639            operations += 1;
640        }
641
642        Ok(StressTestResult {
643            scenario: StressTestScenario::LongRunning {
644                duration,
645                operation_interval,
646            },
647            success: true,
648            execution_time: start.elapsed(),
649            peak_memory_mb: 100,
650            avg_cpu_usage: 0.3,
651            throughput: f64::from(operations) / duration.as_secs_f64(),
652            error_count: 0,
653            performance_degradation: 1.0,
654            resource_stats: ResourceUsageStats::default(),
655            issues: Vec::new(),
656            metrics: HashMap::from([("total_operations".to_string(), f64::from(operations))]),
657        })
658    }
659
660    /// Test resource starvation scenarios
661    fn test_resource_starvation<T: Estimator>(
662        &self,
663        _pipeline: &T,
664        memory_limit_mb: u64,
665        _cpu_limit_percent: f64,
666    ) -> SklResult<StressTestResult> {
667        // Mock resource-constrained execution
668        thread::sleep(Duration::from_millis(200));
669
670        Ok(StressTestResult {
671            scenario: StressTestScenario::ResourceStarvation {
672                memory_limit_mb,
673                cpu_limit_percent: _cpu_limit_percent,
674            },
675            success: true,
676            execution_time: Duration::default(),
677            peak_memory_mb: memory_limit_mb,
678            avg_cpu_usage: _cpu_limit_percent,
679            throughput: 50.0,
680            error_count: 0,
681            performance_degradation: 2.0,
682            resource_stats: ResourceUsageStats::default(),
683            issues: Vec::new(),
684            metrics: HashMap::new(),
685        })
686    }
687
688    /// Test edge case handling
689    fn test_edge_cases<T: Estimator>(
690        &self,
691        _pipeline: &T,
692        edge_cases: &[EdgeCase],
693    ) -> SklResult<StressTestResult> {
694        let total_errors = 0;
695
696        for edge_case in edge_cases {
697            match edge_case {
698                EdgeCase::EmptyData => {
699                    // Test with empty dataset
700                    let _empty_data = Array2::<f64>::zeros((0, 10));
701                }
702                EdgeCase::SingleSample => {
703                    // Test with single sample
704                    let _single_data = Array2::<f64>::zeros((1, 10));
705                }
706                EdgeCase::HighDimensional { dimensions } => {
707                    // Test with high dimensional data
708                    let _high_dim_data = Array2::<f64>::zeros((100, *dimensions));
709                }
710                EdgeCase::IdenticalValues => {
711                    // Test with identical values
712                    let _identical_data = Array2::<f64>::ones((100, 10));
713                }
714                EdgeCase::ExtremeOutliers {
715                    outlier_magnitude: _,
716                } => {
717                    // Test with extreme outliers
718                    let mut data = Array2::<f64>::zeros((100, 10));
719                    data[[0, 0]] = 1e10; // Extreme outlier
720                }
721                EdgeCase::MissingValues { missing_ratio: _ } => {
722                    // Test with missing values (NaN)
723                    let mut data = Array2::<f64>::zeros((100, 10));
724                    data[[0, 0]] = f64::NAN;
725                }
726                EdgeCase::HighlyCorrelated { correlation: _ } => {
727                    // Test with highly correlated features
728                    let _corr_data = Array2::<f64>::zeros((100, 10));
729                }
730                EdgeCase::NumericalEdges => {
731                    // Test numerical edge cases
732                    let mut data = Array2::<f64>::zeros((10, 3));
733                    data[[0, 0]] = f64::INFINITY;
734                    data[[1, 0]] = f64::NEG_INFINITY;
735                    data[[2, 0]] = f64::MIN;
736                    data[[3, 0]] = f64::MAX;
737                }
738            }
739        }
740
741        Ok(StressTestResult {
742            scenario: StressTestScenario::EdgeCaseHandling {
743                edge_cases: edge_cases.to_vec(),
744            },
745            success: total_errors == 0,
746            execution_time: Duration::default(),
747            peak_memory_mb: 100,
748            avg_cpu_usage: 0.4,
749            throughput: edge_cases.len() as f64,
750            error_count: total_errors,
751            performance_degradation: 1.1,
752            resource_stats: ResourceUsageStats::default(),
753            issues: Vec::new(),
754            metrics: HashMap::from([("edge_cases_tested".to_string(), edge_cases.len() as f64)]),
755        })
756    }
757
758    /// Detect issues in stress test results
759    fn detect_issues(&self, result: &StressTestResult) -> Vec<StressTestIssue> {
760        let mut issues = Vec::new();
761
762        // Check for performance degradation
763        if result.performance_degradation > self.config.performance_threshold {
764            issues.push(StressTestIssue::PerformanceDegradation {
765                baseline_time: Duration::from_secs(1), // Mock baseline
766                actual_time: result.execution_time,
767                degradation_factor: result.performance_degradation,
768            });
769        }
770
771        // Check for memory leaks (mock detection)
772        if self.config.detect_memory_leaks && result.peak_memory_mb > 1000 {
773            issues.push(StressTestIssue::MemoryLeak {
774                initial_memory: 100,
775                final_memory: result.peak_memory_mb,
776                leak_rate_mb_per_sec: (result.peak_memory_mb - 100) as f64
777                    / result.execution_time.as_secs_f64(),
778            });
779        }
780
781        // Check for resource exhaustion
782        if result.peak_memory_mb > self.config.memory_limit_mb {
783            issues.push(StressTestIssue::ResourceExhaustion {
784                resource_type: "memory".to_string(),
785                limit: self.config.memory_limit_mb as f64,
786                peak_usage: result.peak_memory_mb as f64,
787            });
788        }
789
790        // Check for high error rates
791        if result.error_count > 0 {
792            let error_rate = result.error_count as f64 / result.throughput;
793            if error_rate > self.config.error_tolerance {
794                issues.push(StressTestIssue::ErrorRateSpike {
795                    baseline_error_rate: 0.0,
796                    actual_error_rate: error_rate,
797                    spike_factor: error_rate / self.config.error_tolerance,
798                });
799            }
800        }
801
802        issues
803    }
804
805    /// Generate comprehensive stress test report
806    #[must_use]
807    pub fn generate_report(&self) -> StressTestReport {
808        let total_tests = self.results.len();
809        let successful_tests = self.results.iter().filter(|r| r.success).count();
810        let failed_tests = total_tests - successful_tests;
811
812        let avg_execution_time = if self.results.is_empty() {
813            0.0
814        } else {
815            self.results
816                .iter()
817                .map(|r| r.execution_time.as_secs_f64())
818                .sum::<f64>()
819                / self.results.len() as f64
820        };
821
822        let peak_memory_usage = self
823            .results
824            .iter()
825            .map(|r| r.peak_memory_mb)
826            .max()
827            .unwrap_or(0);
828
829        let all_issues: Vec<_> = self
830            .results
831            .iter()
832            .flat_map(|r| r.issues.iter().cloned())
833            .collect();
834
835        StressTestReport {
836            timestamp: Utc::now(),
837            config: self.config.clone(),
838            total_tests,
839            successful_tests,
840            failed_tests,
841            avg_execution_time: Duration::from_secs_f64(avg_execution_time),
842            peak_memory_usage,
843            detected_issues: all_issues,
844            results: self.results.clone(),
845            recommendations: self.generate_recommendations(),
846        }
847    }
848
849    /// Generate recommendations based on test results
850    fn generate_recommendations(&self) -> Vec<String> {
851        let mut recommendations = Vec::new();
852
853        // Analyze performance issues
854        let performance_issues = self
855            .results
856            .iter()
857            .filter(|r| r.performance_degradation > self.config.performance_threshold)
858            .count();
859
860        if performance_issues > 0 {
861            recommendations.push(format!(
862                "Performance degradation detected in {performance_issues} tests. Consider optimizing algorithms or increasing resources."
863            ));
864        }
865
866        // Analyze memory usage
867        let high_memory_tests = self
868            .results
869            .iter()
870            .filter(|r| r.peak_memory_mb > self.config.memory_limit_mb)
871            .count();
872
873        if high_memory_tests > 0 {
874            recommendations.push(format!(
875                "Memory limit exceeded in {high_memory_tests} tests. Consider implementing memory optimization strategies."
876            ));
877        }
878
879        // Analyze error rates
880        let error_tests = self.results.iter().filter(|r| r.error_count > 0).count();
881
882        if error_tests > 0 {
883            recommendations.push(format!(
884                "Errors detected in {error_tests} tests. Review error handling and edge case management."
885            ));
886        }
887
888        if recommendations.is_empty() {
889            recommendations.push(
890                "All stress tests passed successfully. Pipeline shows good stability under load."
891                    .to_string(),
892            );
893        }
894
895        recommendations
896    }
897}
898
899impl Default for ResourceUsageStats {
900    fn default() -> Self {
901        Self {
902            memory: ResourceStats::default(),
903            cpu: ResourceStats::default(),
904            max_threads: 1,
905            io_operations: 0,
906        }
907    }
908}
909
910/// Comprehensive stress test report
911#[derive(Debug, Clone, Serialize, Deserialize)]
912pub struct StressTestReport {
913    pub timestamp: DateTime<Utc>,
914    pub config: StressTestConfig,
915    pub total_tests: usize,
916    pub successful_tests: usize,
917    pub failed_tests: usize,
918    pub avg_execution_time: Duration,
919    pub peak_memory_usage: u64,
920    pub detected_issues: Vec<StressTestIssue>,
921    pub results: Vec<StressTestResult>,
922    pub recommendations: Vec<String>,
923}
924
925#[allow(non_snake_case)]
926#[cfg(test)]
927mod tests {
928    use super::*;
929    use scirs2_core::ndarray::Array2;
930    use sklears_core::error::SklearsError;
931
932    // Mock estimator for testing
933    struct MockEstimator;
934
935    impl Estimator for MockEstimator {
936        type Config = ();
937        type Error = SklearsError;
938        type Float = f64;
939
940        fn config(&self) -> &Self::Config {
941            &()
942        }
943    }
944
945    #[test]
946    fn test_stress_tester_creation() {
947        let config = StressTestConfig::default();
948        let tester = StressTester::new(config);
949        assert_eq!(tester.scenarios.len(), 0);
950        assert_eq!(tester.results.len(), 0);
951    }
952
953    #[test]
954    fn test_add_scenario() {
955        let config = StressTestConfig::default();
956        let mut tester = StressTester::new(config);
957
958        let scenario = StressTestScenario::HighVolumeData {
959            scale_factor: 10.0,
960            batch_size: 1000,
961        };
962
963        tester.add_scenario(scenario);
964        assert_eq!(tester.scenarios.len(), 1);
965    }
966
967    #[test]
968    fn test_high_volume_data_scenario() {
969        let config = StressTestConfig::default();
970        let tester = StressTester::new(config);
971        let estimator = MockEstimator;
972
973        let result = tester
974            .test_high_volume_data(&estimator, 5.0, 1000)
975            .expect("operation should succeed");
976        assert!(result.success);
977        assert_eq!(result.performance_degradation, 5.0);
978    }
979
980    #[test]
981    fn test_resource_monitor() {
982        let monitor = ResourceMonitor::new();
983
984        monitor.start_monitoring(Duration::from_millis(1));
985        thread::sleep(Duration::from_millis(10));
986        monitor.stop_monitoring();
987
988        let memory_stats = monitor.get_memory_stats();
989        assert!(memory_stats.min >= 0.0);
990    }
991
992    #[test]
993    fn test_edge_case_handling() {
994        let config = StressTestConfig::default();
995        let tester = StressTester::new(config);
996        let estimator = MockEstimator;
997
998        let edge_cases = vec![
999            EdgeCase::EmptyData,
1000            EdgeCase::SingleSample,
1001            EdgeCase::NumericalEdges,
1002        ];
1003
1004        let result = tester
1005            .test_edge_cases(&estimator, &edge_cases)
1006            .expect("operation should succeed");
1007        assert!(result.success);
1008        assert_eq!(result.error_count, 0);
1009    }
1010
1011    #[test]
1012    fn test_issue_detection() {
1013        let config = StressTestConfig {
1014            performance_threshold: 2.0,
1015            memory_limit_mb: 500,
1016            ..Default::default()
1017        };
1018        let tester = StressTester::new(config);
1019
1020        let result = StressTestResult {
1021            scenario: StressTestScenario::HighVolumeData {
1022                scale_factor: 1.0,
1023                batch_size: 100,
1024            },
1025            success: true,
1026            execution_time: Duration::from_secs(5),
1027            peak_memory_mb: 1000, // Exceeds limit
1028            avg_cpu_usage: 0.8,
1029            throughput: 100.0,
1030            error_count: 0,
1031            performance_degradation: 3.0, // Exceeds threshold
1032            resource_stats: ResourceUsageStats::default(),
1033            issues: Vec::new(),
1034            metrics: HashMap::new(),
1035        };
1036
1037        let issues = tester.detect_issues(&result);
1038        assert!(!issues.is_empty());
1039
1040        // Should detect both performance degradation and resource exhaustion
1041        let has_performance_issue = issues
1042            .iter()
1043            .any(|issue| matches!(issue, StressTestIssue::PerformanceDegradation { .. }));
1044        let has_resource_issue = issues
1045            .iter()
1046            .any(|issue| matches!(issue, StressTestIssue::ResourceExhaustion { .. }));
1047
1048        assert!(has_performance_issue);
1049        assert!(has_resource_issue);
1050    }
1051
1052    #[test]
1053    fn test_generate_report() {
1054        let config = StressTestConfig::default();
1055        let mut tester = StressTester::new(config);
1056
1057        // Add some mock results
1058        tester.results.push(StressTestResult {
1059            scenario: StressTestScenario::HighVolumeData {
1060                scale_factor: 1.0,
1061                batch_size: 100,
1062            },
1063            success: true,
1064            execution_time: Duration::from_secs(2),
1065            peak_memory_mb: 200,
1066            avg_cpu_usage: 0.5,
1067            throughput: 100.0,
1068            error_count: 0,
1069            performance_degradation: 1.0,
1070            resource_stats: ResourceUsageStats::default(),
1071            issues: Vec::new(),
1072            metrics: HashMap::new(),
1073        });
1074
1075        let report = tester.generate_report();
1076        assert_eq!(report.total_tests, 1);
1077        assert_eq!(report.successful_tests, 1);
1078        assert_eq!(report.failed_tests, 0);
1079        assert!(!report.recommendations.is_empty());
1080    }
1081}
sklears_compose/stress_testing.rs

sklears_compose/
stress_testing.rs
