oxirs_vec/adaptive_intelligent_caching/
optimizer.rs

1//! Cache optimization engine with adaptive algorithms
2
3use 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/// Cache optimization engine with adaptive algorithms
16#[allow(dead_code)]
17#[derive(Debug)]
18pub struct CacheOptimizer {
19    /// Optimization algorithms
20    pub(crate) algorithms: Vec<Box<dyn OptimizationAlgorithm>>,
21    /// Optimization history
22    optimization_history: Vec<OptimizationEvent>,
23    /// Current optimization state
24    current_state: OptimizationState,
25    /// Performance improvement tracking
26    improvements: ImprovementTracker,
27}
28
29/// Optimization algorithm trait
30pub trait OptimizationAlgorithm: Send + Sync + std::fmt::Debug {
31    /// Apply optimization to the cache system
32    fn optimize_cache(
33        &mut self,
34        tiers: &[CacheTier],
35        metrics: &CachePerformanceMetrics,
36        config: &CacheConfiguration,
37    ) -> Result<OptimizationResult>;
38
39    /// Get algorithm name
40    fn name(&self) -> &str;
41
42    /// Get optimization score for current state
43    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![], // Would contain actual optimization algorithms
56            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() // Simplified
95    }
96}