oxirs-arq 0.2.4

//! Resource usage tracking

use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::time::{Duration, Instant};

#[derive(Debug, Clone)]
pub struct AdaptiveOptimizationParameters {
    pub parameter_map: HashMap<String, AdaptiveParameter>,
    pub adaptation_strategy: AdaptationStrategy,
    pub learning_rate: f64,
    pub stability_threshold: f64,
}

/// Adaptive parameter
#[derive(Debug, Clone)]
pub struct AdaptiveParameter {
    pub current_value: f64,
    pub min_value: f64,
    pub max_value: f64,
    pub adaptation_history: Vec<ParameterChange>,
    pub effectiveness_correlation: f64,
}

/// Parameter change record
#[derive(Debug, Clone)]
pub struct ParameterChange {
    pub timestamp: SystemTime,
    pub old_value: f64,
    pub new_value: f64,
    pub reason: String,
    pub effectiveness: f64,
}

/// Adaptation strategies
#[derive(Debug, Clone)]
pub enum AdaptationStrategy {
    GradientDescent,
    SimulatedAnnealing,
    GeneticAlgorithm,
    BayesianOptimization,
    ReinforcementLearning,
}

/// Learning-based optimizer
#[derive(Debug, Clone)]
pub struct LearningBasedOptimizer {
    pub learning_algorithm: LearningAlgorithm,
    pub feature_extractor: FeatureExtractor,
    pub reward_function: RewardFunction,
    pub exploration_strategy: ExplorationStrategy,
}

/// Learning algorithms
#[derive(Debug, Clone)]
pub enum LearningAlgorithm {
    QLearning,
    DeepQLearning,
    PolicyGradient,
    ActorCritic,
    MultiArmedBandit,
}

/// Feature extraction for learning
#[derive(Debug, Clone)]
pub struct FeatureExtractor {
    pub query_features: Vec<String>,
    pub system_features: Vec<String>,
    pub contextual_features: Vec<String>,
    pub feature_normalization: FeatureNormalization,
}

/// Feature normalization methods
#[derive(Debug, Clone)]
pub enum FeatureNormalization {
    MinMax,
    ZScore,
    RobustScaling,
    QuantileTransform,
}

impl ResourceUsageTracker {
    pub fn new() -> Self {
        Self {
            memory_tracker: MemoryUsageTracker::new(),
            cpu_tracker: CpuUsageTracker::new(),
            io_tracker: IoUsageTracker::new(),
            network_tracker: NetworkUsageTracker::new(),
            cache_tracker: CacheUsageTracker::new(),
        }
    }

    pub fn track_resource_usage(&mut self, memory_usage: usize, execution_time: Duration) -> Result<()> {
        // Implementation would track resource usage
        Ok(())
    }
}

impl MemoryUsageTracker {
    pub fn new() -> Self {
        Self {
            current_usage: 0,
            peak_usage: 0,
            allocation_rate: 0.0,
            deallocation_rate: 0.0,
            fragmentation_level: 0.1,
            gc_activity: GcActivity::default(),
        }
    }
}

impl Default for GcActivity {
    fn default() -> Self {
        Self {
            minor_gc_count: 0,
            major_gc_count: 0,
            gc_time: Duration::from_millis(0),
            gc_efficiency: 0.9,
        }
    }
}

impl CpuUsageTracker {
    pub fn new() -> Self {
        Self {
            current_usage: 0.0,
            per_core_usage: vec![0.0; 4],
            context_switches: 0,
            instruction_rate: 0.0,
            cache_misses: 0,
        }
    }
}

impl IoUsageTracker {
    pub fn new() -> Self {
        Self {
            read_bytes: 0,
            write_bytes: 0,
            read_operations: 0,
            write_operations: 0,
            latency_distribution: Histogram::new(),
            throughput: 0.0,
        }
    }
}

impl Histogram {
    pub fn new() -> Self {
        Self {
            buckets: vec![1.0, 5.0, 10.0, 50.0, 100.0, 500.0, 1000.0],
            counts: vec![0; 7],
            sum: 0.0,
            count: 0,
        }
    }
}

impl NetworkUsageTracker {
    pub fn new() -> Self {
        Self {
            bytes_sent: 0,
            bytes_received: 0,
            connections_active: 0,
            connections_total: 0,
            latency: Duration::from_millis(10),
            bandwidth_utilization: 0.0,
        }
    }
}

impl CacheUsageTracker {
    pub fn new() -> Self {
        Self {
            hit_rate: 0.8,
            miss_rate: 0.2,
            eviction_rate: 0.1,
            cache_size: 1024 * 1024 * 64,
            cache_utilization: 0.7,
            cache_levels: HashMap::new(),
        }
    }
}