1use serde::{Deserialize, Serialize};
6use std::collections::{BTreeMap, HashMap, VecDeque};
7use std::time::{Duration, SystemTime};
8
9use super::config::RealtimeConfig;
10use super::metrics::DeviceMetrics;
11use super::resource::PredictionModel;
12use super::types::{
13 AggregationFunction, AlertChannel, AnalyticsModelType, AnomalyDetectionAlgorithm, AnomalyType,
14 AuthenticationType, AxisScale, BackoffStrategy, CollectionMethod, ColorScheme,
15 CompressionAlgorithm, DataFormat, DataSourceType, EnsembleMethod, FeatureTransformation,
16 FilterOperator, IndexType, IssueSeverity, JobPriority, LegendOrientation, LegendPosition,
17 MetricDataType, WidgetType,
18};
19
20pub struct PerformanceAnalytics {
22 pub(crate) metrics_collector: MetricsCollector,
24 pub(crate) analytics_models: HashMap<String, AnalyticsModel>,
26 pub(crate) dashboard: RealtimeDashboard,
28 pub(crate) performance_predictor: PerformancePredictor,
30 pub(crate) anomaly_detector: AnomalyDetector,
32}
33
34impl PerformanceAnalytics {
35 pub fn new(_config: &RealtimeConfig) -> Self {
36 Self {
37 metrics_collector: MetricsCollector::new(),
38 analytics_models: HashMap::new(),
39 dashboard: RealtimeDashboard::new(),
40 performance_predictor: PerformancePredictor::new(),
41 anomaly_detector: AnomalyDetector::new(),
42 }
43 }
44
45 pub const fn update_analytics(&mut self) -> Result<(), String> {
46 Ok(())
48 }
49
50 pub fn get_current_metrics(&self) -> Result<RealtimeMetrics, String> {
51 Ok(RealtimeMetrics {
52 timestamp: SystemTime::now(),
53 system_metrics: SystemMetrics {
54 health_score: 0.85,
55 total_devices: 5,
56 active_devices: 4,
57 total_jobs_processed: 1000,
58 current_load: 0.6,
59 },
60 device_metrics: HashMap::new(),
61 queue_metrics: QueueMetrics {
62 total_queued_jobs: 25,
63 jobs_by_priority: {
64 let mut map = HashMap::new();
65 map.insert(JobPriority::High, 5);
66 map.insert(JobPriority::Normal, 15);
67 map.insert(JobPriority::Low, 5);
68 map
69 },
70 average_wait_time: Duration::from_secs(300),
71 throughput: 10.0,
72 },
73 performance_metrics: SystemPerformanceMetrics {
74 performance_score: 0.88,
75 latency_stats: LatencyStats {
76 average: Duration::from_millis(250),
77 median: Duration::from_millis(200),
78 p95: Duration::from_millis(500),
79 p99: Duration::from_millis(1000),
80 },
81 throughput_stats: ThroughputStats {
82 requests_per_second: 100.0,
83 jobs_per_hour: 50.0,
84 data_per_second: 1024.0,
85 },
86 error_stats: ErrorStats {
87 total_errors: 10,
88 error_rate: 0.01,
89 errors_by_type: HashMap::new(),
90 },
91 },
92 })
93 }
94}
95
96#[derive(Debug, Clone)]
98pub struct MetricsCollector {
99 pub(crate) active_metrics: HashMap<String, MetricDefinition>,
101 pub(crate) collection_intervals: HashMap<String, Duration>,
103 pub(crate) data_storage: MetricsStorage,
105 pub(crate) aggregation_rules: Vec<AggregationRule>,
107}
108
109impl Default for MetricsCollector {
110 fn default() -> Self {
111 Self::new()
112 }
113}
114
115impl MetricsCollector {
116 pub fn new() -> Self {
117 Self {
118 active_metrics: HashMap::new(),
119 collection_intervals: HashMap::new(),
120 data_storage: MetricsStorage {
121 time_series_db: HashMap::new(),
122 indexes: HashMap::new(),
123 storage_stats: StorageStatistics {
124 total_data_points: 0,
125 storage_size_bytes: 0,
126 compression_ratio: 1.0,
127 query_performance: QueryPerformanceStats {
128 average_query_time: Duration::from_millis(10),
129 cache_hit_rate: 0.8,
130 index_efficiency: 0.9,
131 },
132 },
133 },
134 aggregation_rules: vec![],
135 }
136 }
137}
138
139#[derive(Debug, Clone, Serialize, Deserialize)]
141pub struct MetricDefinition {
142 pub name: String,
144 pub metric_type: MetricDataType,
146 pub units: String,
148 pub description: String,
150 pub collection_method: CollectionMethod,
152 pub retention_policy: RetentionPolicy,
154}
155
156#[derive(Debug, Clone, Serialize, Deserialize)]
158pub struct RetentionPolicy {
159 pub raw_retention: Duration,
161 pub aggregated_retention: Duration,
163 pub compression: CompressionSettings,
165}
166
167#[derive(Debug, Clone, Serialize, Deserialize)]
169pub struct CompressionSettings {
170 pub enabled: bool,
172 pub algorithm: CompressionAlgorithm,
174 pub ratio_target: f64,
176}
177
178#[derive(Debug, Clone)]
180pub struct MetricsStorage {
181 pub(crate) time_series_db: HashMap<String, VecDeque<DataPoint>>,
183 pub(crate) indexes: HashMap<String, Index>,
185 pub(crate) storage_stats: StorageStatistics,
187}
188
189#[derive(Debug, Clone, Serialize, Deserialize)]
191pub struct DataPoint {
192 pub timestamp: SystemTime,
194 pub value: f64,
196 pub tags: HashMap<String, String>,
198 pub metadata: Option<HashMap<String, String>>,
200}
201
202#[derive(Debug, Clone)]
204pub struct Index {
205 pub index_type: IndexType,
207 pub index_data: BTreeMap<String, Vec<usize>>,
209 pub last_update: SystemTime,
211}
212
213#[derive(Debug, Clone, Serialize, Deserialize)]
215pub struct StorageStatistics {
216 pub total_data_points: usize,
218 pub storage_size_bytes: usize,
220 pub compression_ratio: f64,
222 pub query_performance: QueryPerformanceStats,
224}
225
226#[derive(Debug, Clone, Serialize, Deserialize)]
228pub struct QueryPerformanceStats {
229 pub average_query_time: Duration,
231 pub cache_hit_rate: f64,
233 pub index_efficiency: f64,
235}
236
237#[derive(Debug, Clone, Serialize, Deserialize)]
239pub struct AggregationRule {
240 pub name: String,
242 pub source_metrics: Vec<String>,
244 pub aggregation_function: AggregationFunction,
246 pub time_window: Duration,
248 pub output_metric: String,
250}
251
252#[derive(Debug, Clone)]
254pub struct AnalyticsModel {
255 pub model_name: String,
257 pub model_type: AnalyticsModelType,
259 pub parameters: HashMap<String, f64>,
261 pub training_data: VecDeque<DataPoint>,
263 pub performance_metrics: ModelPerformanceMetrics,
265}
266
267#[derive(Debug, Clone, Serialize, Deserialize)]
269pub struct ModelPerformanceMetrics {
270 pub accuracy: f64,
272 pub precision: f64,
274 pub recall: f64,
276 pub f1_score: f64,
278 pub mse: f64,
280 pub mae: f64,
282}
283
284#[derive(Debug, Clone)]
286pub struct RealtimeDashboard {
287 pub(crate) widgets: Vec<DashboardWidget>,
289 pub(crate) update_frequency: Duration,
291 pub(crate) data_sources: Vec<DataSource>,
293 pub(crate) user_preferences: UserPreferences,
295}
296
297impl Default for RealtimeDashboard {
298 fn default() -> Self {
299 Self::new()
300 }
301}
302
303impl RealtimeDashboard {
304 pub fn new() -> Self {
305 Self {
306 widgets: vec![],
307 update_frequency: Duration::from_secs(5),
308 data_sources: vec![],
309 user_preferences: UserPreferences {
310 theme: "dark".to_string(),
311 default_time_range: TimeRange::Last(Duration::from_secs(3600)),
312 auto_refresh_interval: Duration::from_secs(30),
313 notification_settings: NotificationSettings {
314 enabled: true,
315 channels: vec![AlertChannel::Dashboard],
316 preferences: HashMap::new(),
317 },
318 },
319 }
320 }
321}
322
323#[derive(Debug, Clone, Serialize, Deserialize)]
325pub struct DashboardWidget {
326 pub widget_id: String,
328 pub widget_type: WidgetType,
330 pub data_query: DataQuery,
332 pub display_settings: DisplaySettings,
334 pub layout: WidgetLayout,
336}
337
338#[derive(Debug, Clone, Serialize, Deserialize)]
340pub struct DataQuery {
341 pub metrics: Vec<String>,
343 pub time_range: TimeRange,
345 pub filters: Vec<QueryFilter>,
347 pub aggregation: Option<AggregationFunction>,
349}
350
351#[derive(Debug, Clone, Serialize, Deserialize)]
353pub enum TimeRange {
354 Last(Duration),
355 Range { start: SystemTime, end: SystemTime },
356 RealTime,
357}
358
359#[derive(Debug, Clone, Serialize, Deserialize)]
361pub struct QueryFilter {
362 pub field: String,
364 pub operator: FilterOperator,
366 pub value: String,
368}
369
370#[derive(Debug, Clone, Serialize, Deserialize)]
372pub struct DisplaySettings {
373 pub title: String,
375 pub color_scheme: ColorScheme,
377 pub axes_settings: AxesSettings,
379 pub legend_settings: LegendSettings,
381}
382
383#[derive(Debug, Clone, Serialize, Deserialize)]
385pub struct AxesSettings {
386 pub x_label: Option<String>,
388 pub y_label: Option<String>,
390 pub x_scale: AxisScale,
392 pub y_scale: AxisScale,
394}
395
396#[derive(Debug, Clone, Serialize, Deserialize)]
398pub struct LegendSettings {
399 pub show: bool,
401 pub position: LegendPosition,
403 pub orientation: LegendOrientation,
405}
406
407#[derive(Debug, Clone, Serialize, Deserialize)]
409pub struct WidgetLayout {
410 pub x: usize,
412 pub y: usize,
414 pub width: usize,
416 pub height: usize,
418}
419
420#[derive(Debug, Clone, Serialize, Deserialize)]
422pub struct DataSource {
423 pub source_id: String,
425 pub source_type: DataSourceType,
427 pub connection_settings: ConnectionSettings,
429 pub data_format: DataFormat,
431}
432
433#[derive(Debug, Clone, Serialize, Deserialize)]
435pub struct ConnectionSettings {
436 pub endpoint: String,
438 pub authentication: Option<AuthenticationInfo>,
440 pub timeout: Duration,
442 pub retry_policy: RetryPolicy,
444}
445
446#[derive(Debug, Clone, Serialize, Deserialize)]
448pub struct AuthenticationInfo {
449 pub auth_type: AuthenticationType,
451 pub credentials: HashMap<String, String>,
453}
454
455#[derive(Debug, Clone, Serialize, Deserialize)]
457pub struct RetryPolicy {
458 pub max_retries: usize,
460 pub retry_delay: Duration,
462 pub backoff_strategy: BackoffStrategy,
464}
465
466#[derive(Debug, Clone, Serialize, Deserialize)]
468pub struct UserPreferences {
469 pub theme: String,
471 pub default_time_range: TimeRange,
473 pub auto_refresh_interval: Duration,
475 pub notification_settings: NotificationSettings,
477}
478
479#[derive(Debug, Clone, Serialize, Deserialize)]
481pub struct NotificationSettings {
482 pub enabled: bool,
484 pub channels: Vec<AlertChannel>,
486 pub preferences: HashMap<String, bool>,
488}
489
490#[derive(Debug, Clone)]
492pub struct PerformancePredictor {
493 pub(crate) prediction_models: HashMap<String, PredictionModel>,
495 pub(crate) feature_extractors: Vec<FeatureExtractor>,
497 pub(crate) prediction_cache: HashMap<String, PredictionResult>,
499}
500
501impl Default for PerformancePredictor {
502 fn default() -> Self {
503 Self::new()
504 }
505}
506
507impl PerformancePredictor {
508 pub fn new() -> Self {
509 Self {
510 prediction_models: HashMap::new(),
511 feature_extractors: vec![],
512 prediction_cache: HashMap::new(),
513 }
514 }
515}
516
517#[derive(Debug, Clone)]
519pub struct FeatureExtractor {
520 pub name: String,
522 pub input_metrics: Vec<String>,
524 pub transformation: FeatureTransformation,
526}
527
528#[derive(Debug, Clone, Serialize, Deserialize)]
530pub struct PredictionResult {
531 pub predictions: Vec<f64>,
533 pub confidence_intervals: Vec<(f64, f64)>,
535 pub timestamp: SystemTime,
537 pub model_name: String,
539 pub horizon: Duration,
541}
542
543#[derive(Debug, Clone)]
545pub struct AnomalyDetector {
546 pub(crate) detection_algorithms: Vec<AnomalyDetectionAlgorithm>,
548 pub(crate) anomaly_history: VecDeque<AnomalyEvent>,
550 pub(crate) detection_thresholds: HashMap<String, f64>,
552 pub(crate) ensemble: AnomalyEnsemble,
554}
555
556impl Default for AnomalyDetector {
557 fn default() -> Self {
558 Self::new()
559 }
560}
561
562impl AnomalyDetector {
563 pub fn new() -> Self {
564 Self {
565 detection_algorithms: vec![
566 AnomalyDetectionAlgorithm::StatisticalOutlier,
567 AnomalyDetectionAlgorithm::IsolationForest,
568 ],
569 anomaly_history: VecDeque::new(),
570 detection_thresholds: HashMap::new(),
571 ensemble: AnomalyEnsemble {
572 base_detectors: vec![],
573 ensemble_method: EnsembleMethod::WeightedVoting,
574 voting_weights: HashMap::new(),
575 },
576 }
577 }
578}
579
580#[derive(Debug, Clone, Serialize, Deserialize)]
582pub struct AnomalyEvent {
583 pub timestamp: SystemTime,
585 pub anomaly_type: AnomalyType,
587 pub severity: IssueSeverity,
589 pub affected_metrics: Vec<String>,
591 pub anomaly_score: f64,
593 pub description: String,
595 pub root_cause: Option<RootCauseAnalysis>,
597}
598
599#[derive(Debug, Clone, Serialize, Deserialize)]
601pub struct RootCauseAnalysis {
602 pub probable_causes: Vec<ProbableCause>,
604 pub correlations: Vec<Correlation>,
606 pub recommendations: Vec<String>,
608}
609
610#[derive(Debug, Clone, Serialize, Deserialize)]
612pub struct ProbableCause {
613 pub description: String,
615 pub probability: f64,
617 pub evidence: Vec<String>,
619}
620
621#[derive(Debug, Clone, Serialize, Deserialize)]
623pub struct Correlation {
624 pub metric: String,
626 pub coefficient: f64,
628 pub time_lag: Duration,
630}
631
632#[derive(Debug, Clone)]
634pub struct AnomalyEnsemble {
635 pub(crate) base_detectors: Vec<AnomalyDetectionAlgorithm>,
637 pub(crate) ensemble_method: EnsembleMethod,
639 pub(crate) voting_weights: HashMap<String, f64>,
641}
642
643#[derive(Debug, Clone, Serialize, Deserialize)]
647pub struct RealtimeMetrics {
648 pub timestamp: SystemTime,
650 pub system_metrics: SystemMetrics,
652 pub device_metrics: HashMap<String, DeviceMetrics>,
654 pub queue_metrics: QueueMetrics,
656 pub performance_metrics: SystemPerformanceMetrics,
658}
659
660#[derive(Debug, Clone, Serialize, Deserialize)]
662pub struct SystemMetrics {
663 pub health_score: f64,
665 pub total_devices: usize,
667 pub active_devices: usize,
669 pub total_jobs_processed: usize,
671 pub current_load: f64,
673}
674
675#[derive(Debug, Clone, Serialize, Deserialize)]
677pub struct QueueMetrics {
678 pub total_queued_jobs: usize,
680 pub jobs_by_priority: HashMap<JobPriority, usize>,
682 pub average_wait_time: Duration,
684 pub throughput: f64,
686}
687
688#[derive(Debug, Clone, Serialize, Deserialize)]
690pub struct SystemPerformanceMetrics {
691 pub performance_score: f64,
693 pub latency_stats: LatencyStats,
695 pub throughput_stats: ThroughputStats,
697 pub error_stats: ErrorStats,
699}
700
701#[derive(Debug, Clone, Serialize, Deserialize)]
703pub struct LatencyStats {
704 pub average: Duration,
706 pub median: Duration,
708 pub p95: Duration,
710 pub p99: Duration,
712}
713
714#[derive(Debug, Clone, Serialize, Deserialize)]
716pub struct ThroughputStats {
717 pub requests_per_second: f64,
719 pub jobs_per_hour: f64,
721 pub data_per_second: f64,
723}
724
725#[derive(Debug, Clone, Serialize, Deserialize)]
727pub struct ErrorStats {
728 pub total_errors: usize,
730 pub error_rate: f64,
732 pub errors_by_type: HashMap<String, usize>,
734}