oxirs_vec/adaptive_intelligent_caching/
optimizer.rs1use anyhow::Result;
4use std::collections::VecDeque;
5use std::time::{Duration, SystemTime};
6
7use super::config::CacheConfiguration;
8use super::metrics::CachePerformanceMetrics;
9use super::tier::CacheTier;
10use super::types::{
11 ImprovementTracker, OptimizationEvent, OptimizationResult,
12 OptimizationState, OptimizationStatistics, RegressionDetector,
13};
14
15#[allow(dead_code)]
17#[derive(Debug)]
18pub struct CacheOptimizer {
19 pub(crate) algorithms: Vec<Box<dyn OptimizationAlgorithm>>,
21 optimization_history: Vec<OptimizationEvent>,
23 current_state: OptimizationState,
25 improvements: ImprovementTracker,
27}
28
29pub trait OptimizationAlgorithm: Send + Sync + std::fmt::Debug {
31 fn optimize_cache(
33 &mut self,
34 tiers: &[CacheTier],
35 metrics: &CachePerformanceMetrics,
36 config: &CacheConfiguration,
37 ) -> Result<OptimizationResult>;
38
39 fn name(&self) -> &str;
41
42 fn score(&self, metrics: &CachePerformanceMetrics) -> f64;
44}
45
46impl Default for CacheOptimizer {
47 fn default() -> Self {
48 Self::new()
49 }
50}
51
52impl CacheOptimizer {
53 pub fn new() -> Self {
54 Self {
55 algorithms: vec![], optimization_history: Vec::new(),
57 current_state: OptimizationState {
58 last_optimization: SystemTime::now(),
59 optimization_frequency: Duration::from_secs(3600),
60 pending_optimizations: Vec::new(),
61 optimization_backlog: 0,
62 },
63 improvements: ImprovementTracker {
64 baseline_metrics: CachePerformanceMetrics::default(),
65 current_improvement: 0.0,
66 improvement_history: VecDeque::new(),
67 regression_detection: RegressionDetector {
68 regression_threshold: -0.05,
69 detection_window: Duration::from_secs(1800),
70 recent_scores: VecDeque::new(),
71 },
72 },
73 }
74 }
75
76 pub fn record_optimization_event(&mut self, event: OptimizationEvent) {
77 self.optimization_history.push(event);
78 }
79
80 pub fn get_statistics(&self) -> OptimizationStatistics {
81 OptimizationStatistics {
82 total_optimizations: self.optimization_history.len() as u64,
83 successful_optimizations: self
84 .optimization_history
85 .iter()
86 .filter(|e| !e.changes.is_empty())
87 .count() as u64,
88 avg_improvement_score: self.improvements.current_improvement,
89 last_optimization: self.optimization_history.last().map(|e| e.timestamp),
90 }
91 }
92
93 pub fn export_history(&self) -> String {
94 "{}".to_string() }
96}