oxirs-vec 0.2.4

Vector index abstractions for semantic similarity and AI-augmented querying
Documentation 
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//! Predictive prefetching based on access patterns and ML models

use std::collections::{HashMap, VecDeque};

use super::types::{
    CacheKey, CacheValue, PrefetchItem, PrefetchModels, PrefetchPerformance, PrefetchStatistics,
    PrefetchStrategy, SequencePrefetchModel, SimilarityPrefetchModel, UserBehaviorModel,
    UserProfile,
};

/// Predictive prefetching based on access patterns and ML models
#[allow(dead_code)]
#[derive(Debug)]
pub struct PredictivePrefetcher {
    /// Prefetch queue with priorities
    prefetch_queue: VecDeque<PrefetchItem>,
    /// Prefetch models
    models: PrefetchModels,
    /// Current prefetch strategies
    strategies: Vec<PrefetchStrategy>,
    /// Prefetch performance tracking
    performance: PrefetchPerformance,
}

impl Default for PredictivePrefetcher {
    fn default() -> Self {
        Self::new()
    }
}

impl PredictivePrefetcher {
    pub fn new() -> Self {
        Self {
            prefetch_queue: VecDeque::new(),
            models: PrefetchModels::new(),
            strategies: vec![
                PrefetchStrategy::SequentialPattern,
                PrefetchStrategy::SimilarityBased,
                PrefetchStrategy::MachineLearning,
            ],
            performance: PrefetchPerformance {
                successful_prefetches: 0,
                failed_prefetches: 0,
                cache_space_saved: 0,
                avg_prediction_accuracy: 0.0,
            },
        }
    }

    pub fn trigger_prefetch_analysis(&mut self, _key: &CacheKey, _value: &CacheValue) {
        // Implementation would analyze prefetch opportunities
    }

    pub fn get_statistics(&self) -> PrefetchStatistics {
        PrefetchStatistics {
            successful_prefetches: self.performance.successful_prefetches,
            failed_prefetches: self.performance.failed_prefetches,
            prefetch_hit_rate: if self.performance.successful_prefetches
                + self.performance.failed_prefetches
                > 0
            {
                self.performance.successful_prefetches as f64
                    / (self.performance.successful_prefetches + self.performance.failed_prefetches)
                        as f64
            } else {
                0.0
            },
            avg_prediction_accuracy: self.performance.avg_prediction_accuracy,
        }
    }
}

impl Default for PrefetchModels {
    fn default() -> Self {
        Self::new()
    }
}

impl PrefetchModels {
    pub fn new() -> Self {
        Self {
            similarity_model: SimilarityPrefetchModel {
                similarity_threshold: 0.8,
                prefetch_depth: 5,
                confidence_weights: vec![1.0, 0.8, 0.6, 0.4, 0.2],
            },
            sequence_model: SequencePrefetchModel {
                sequence_patterns: HashMap::new(),
                max_sequence_length: 5,
                min_confidence: 0.7,
            },
            user_behavior_model: UserBehaviorModel {
                user_profiles: HashMap::new(),
                default_profile: UserProfile {
                    typical_query_patterns: Vec::new(),
                    access_frequency: 1.0,
                    preference_weights: HashMap::new(),
                },
            },
        }
    }
}