oxirs-arq 0.2.4

Jena-style SPARQL algebra with extension points and query optimization
Documentation
//! Query pattern analysis

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

pub struct PatternAnalyzer {
    /// Frequent patterns cache
    frequent_patterns: HashMap<String, PatternFrequency>,
    /// Pattern correlation matrix
    correlation_matrix: CorrelationMatrix,
    /// Seasonal pattern detection
    seasonal_patterns: SeasonalPatternDetector,
    /// Anti-pattern detection
    anti_patterns: AntiPatternDetector,
}

/// Pattern frequency information
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PatternFrequency {
    pub pattern_hash: u64,
    pub frequency: usize,
    pub last_seen: SystemTime,
    pub avg_execution_time: Duration,
    pub success_rate: f64,
    pub complexity_score: f64,
    pub resource_impact: ResourceImpact,
}

/// Resource impact assessment
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ResourceImpact {
    pub cpu_usage: f64,
    pub memory_usage: usize,
    pub io_operations: usize,
    pub network_calls: usize,
    pub cache_efficiency: f64,
}

/// Correlation matrix for pattern relationships
#[derive(Debug, Clone)]
pub struct CorrelationMatrix {
    correlations: HashMap<(String, String), f64>,
    temporal_correlations: HashMap<String, Vec<TemporalCorrelation>>,
}

/// Temporal correlation data
#[derive(Debug, Clone)]
pub struct TemporalCorrelation {
    pub time_offset: Duration,
    pub correlation_strength: f64,
    pub confidence_interval: (f64, f64),
}

/// Seasonal pattern detection
#[derive(Debug, Clone)]
pub struct SeasonalPatternDetector {
    hourly_patterns: [f64; 24],
    daily_patterns: [f64; 7],
    monthly_patterns: [f64; 12],
    seasonal_adjustments: HashMap<String, SeasonalAdjustment>,
}

/// Seasonal adjustment factors
#[derive(Debug, Clone)]
pub struct SeasonalAdjustment {
    pub seasonal_factor: f64,
    pub trend_factor: f64,
    pub volatility: f64,
    pub confidence: f64,
}

/// Anti-pattern detection for performance issues
#[derive(Debug, Clone)]
pub struct AntiPatternDetector {
    cartesian_products: Vec<CartesianProductPattern>,
    inefficient_joins: Vec<InefficientJoinPattern>,
    redundant_operations: Vec<RedundantOperationPattern>,
    resource_wasters: Vec<ResourceWastePattern>,
}

/// Cartesian product anti-pattern
#[derive(Debug, Clone)]
pub struct CartesianProductPattern {
    pub pattern_id: String,
    pub estimated_cardinality: usize,
    pub risk_level: RiskLevel,
    pub mitigation_suggestions: Vec<String>,
}

/// Join inefficiency pattern
#[derive(Debug, Clone)]
pub struct InefficientJoinPattern {
    pub join_variables: Vec<Variable>,
    pub join_algorithm: JoinAlgorithm,
    pub efficiency_score: f64,
    pub alternative_algorithms: Vec<JoinAlgorithm>,
}

/// Redundant operation pattern
#[derive(Debug, Clone)]
pub struct RedundantOperationPattern {
    pub operation_type: String,
    pub redundancy_factor: f64,
    pub optimization_potential: f64,
}

/// Resource waste pattern
#[derive(Debug, Clone)]
pub struct ResourceWastePattern {
    pub resource_type: ResourceType,
    pub waste_factor: f64,
    pub impact_assessment: String,
}

/// Risk level assessment
#[derive(Debug, Clone, PartialEq)]
pub enum RiskLevel {
    Low,
    Medium,
    High,
    Critical,
}

/// Resource type enumeration
#[derive(Debug, Clone)]

impl PatternAnalyzer {
    pub fn new() -> Self {
        Self {
            frequent_patterns: HashMap::new(),
            correlation_matrix: CorrelationMatrix::new(),
            seasonal_patterns: SeasonalPatternDetector::new(),
            anti_patterns: AntiPatternDetector::new(),
        }
    }

    pub fn analyze_pattern(&mut self, algebra: &Algebra, data_point: &PerformanceDataPoint) -> Result<()> {
        // Implementation would analyze patterns and update statistics
        Ok(())
    }
}

impl CorrelationMatrix {
    pub fn new() -> Self {
        Self {
            correlations: HashMap::new(),
            temporal_correlations: HashMap::new(),
        }
    }
}

impl SeasonalPatternDetector {
    pub fn new() -> Self {
        Self {
            hourly_patterns: [0.0; 24],
            daily_patterns: [0.0; 7],
            monthly_patterns: [0.0; 12],
            seasonal_adjustments: HashMap::new(),
        }
    }
}

impl AntiPatternDetector {
    pub fn new() -> Self {
        Self {
            cartesian_products: Vec::new(),
            inefficient_joins: Vec::new(),
            redundant_operations: Vec::new(),
            resource_wasters: Vec::new(),
        }
    }
}