pmat 3.15.0

fn create_sample_edge(
    duration_ms: u64,
    cache_hit_ratio: f32,
    memory_mb: f32,
    cpu: f32,
    queue: usize,
) -> PerformanceSample {
    PerformanceSample {
        timestamp: Instant::now(),
        analysis_duration_ms: duration_ms,
        cache_hit_ratio,
        memory_usage_mb: memory_mb,
        cpu_utilization: cpu,
        queue_depth: queue,
    }
}

// =============================================================================
// ADAPTIVE THRESHOLD MANAGER ASYNC TESTS
// =============================================================================

#[tokio::test]
async fn test_get_current_thresholds() {
    let manager = AdaptiveThresholdManager::new(AdaptiveConfig::default());
    let thresholds = manager.get_current_thresholds().await;
    assert_eq!(thresholds.hot_cache_size, 1000);
    assert_eq!(thresholds.high_priority_permits, 10);
}

#[tokio::test]
async fn test_reset_to_defaults() {
    let manager = AdaptiveThresholdManager::new(AdaptiveConfig::default());

    // Record samples to trigger adjustments
    for _ in 0..12 {
        let sample = create_sample_edge(200, 0.3, 100.0, 0.5, 2);
        manager.record_sample(sample).await.unwrap();
    }

    // Reset to defaults
    manager.reset_to_defaults().await.unwrap();

    let thresholds = manager.get_current_thresholds().await;
    assert_eq!(thresholds.hot_cache_size, 1000);
    assert_eq!(thresholds.compression_level, 4);
}

#[tokio::test]
async fn test_create_sample() {
    let manager = AdaptiveThresholdManager::new(AdaptiveConfig::default());

    let sample = manager
        .create_sample(Duration::from_millis(150), true, 5)
        .await;

    assert_eq!(sample.analysis_duration_ms, 150);
    assert_eq!(sample.cache_hit_ratio, 1.0);
    assert_eq!(sample.queue_depth, 5);
}

#[tokio::test]
async fn test_create_sample_cache_miss() {
    let manager = AdaptiveThresholdManager::new(AdaptiveConfig::default());

    let sample = manager
        .create_sample(Duration::from_millis(200), false, 0)
        .await;

    assert_eq!(sample.cache_hit_ratio, 0.0);
}

#[tokio::test]
async fn test_high_queue_depth_adjustment() {
    let config = AdaptiveConfig {
        target_analysis_time_ms: 100,
        min_cache_hit_ratio: 0.5,
        sample_window_size: 15,
        ..Default::default()
    };
    let manager = AdaptiveThresholdManager::new(config);

    // Add samples with good cache hit but high queue depth and slow performance
    for _ in 0..15 {
        let sample = create_sample_edge(180, 0.7, 100.0, 0.5, 10); // High queue depth
        manager.record_sample(sample).await.unwrap();
    }

    let thresholds = manager.get_current_thresholds().await;
    // Should have increased permits due to high queue depth
    assert!(thresholds.high_priority_permits >= 10);
}

#[tokio::test]
async fn test_less_compression_adjustment() {
    let config = AdaptiveConfig {
        target_analysis_time_ms: 50,
        min_cache_hit_ratio: 0.5,
        sample_window_size: 12,
        ..Default::default()
    };
    let manager = AdaptiveThresholdManager::new(config);

    // Add samples showing slow performance but good cache and low queue
    for _ in 0..15 {
        let sample = create_sample_edge(150, 0.8, 100.0, 0.5, 2); // Slow, good cache, low queue
        manager.record_sample(sample).await.unwrap();
    }

    let thresholds = manager.get_current_thresholds().await;
    // Should have reduced compression for speed
    let _ = thresholds.compression_level; // Just verify no panic
}

#[tokio::test]
async fn test_scale_down_high_memory() {
    let config = AdaptiveConfig {
        target_analysis_time_ms: 200,
        max_memory_mb: 100.0,
        sample_window_size: 12,
        ..Default::default()
    };
    let manager = AdaptiveThresholdManager::new(config);

    // Add samples with fast performance, high cache hit, but high memory
    for _ in 0..15 {
        let sample = create_sample_edge(80, 0.95, 200.0, 0.4, 2); // Fast, high cache, high memory
        manager.record_sample(sample).await.unwrap();
    }

    // Should trigger scale down or more compression due to high memory
    let _thresholds = manager.get_current_thresholds().await;
}

#[tokio::test]
async fn test_maintain_excellent_performance() {
    let config = AdaptiveConfig {
        target_analysis_time_ms: 100,
        max_memory_mb: 500.0,
        sample_window_size: 12,
        ..Default::default()
    };
    let manager = AdaptiveThresholdManager::new(config);

    // Add samples with excellent performance
    for _ in 0..15 {
        let sample = create_sample_edge(40, 0.9, 200.0, 0.3, 1); // Very fast, high cache, low resource
        manager.record_sample(sample).await.unwrap();
    }

    let stats = manager.get_performance_stats().await;
    // Should have recorded samples without major adjustments
    assert!(stats.total_samples > 0);
}

#[tokio::test]
async fn test_trend_degrading() {
    let manager = AdaptiveThresholdManager::new(AdaptiveConfig::default());

    // Add degrading trend samples (getting slower)
    for i in 0..20 {
        let duration = 100 + (i * 10); // Getting slower over time
        let sample = create_sample_edge(duration, 0.7, 150.0, 0.5, 2);
        manager.record_sample(sample).await.unwrap();
    }

    let stats = manager.get_performance_stats().await;
    assert!(matches!(
        stats.performance_trend,
        PerformanceTrend::Degrading
    ));
}

#[tokio::test]
async fn test_trend_stable() {
    let manager = AdaptiveThresholdManager::new(AdaptiveConfig::default());

    // Add stable performance samples
    for _ in 0..20 {
        let sample = create_sample_edge(100, 0.7, 150.0, 0.5, 2); // Same duration each time
        manager.record_sample(sample).await.unwrap();
    }

    let stats = manager.get_performance_stats().await;
    assert!(matches!(stats.performance_trend, PerformanceTrend::Stable));
}

#[tokio::test]
async fn test_get_memory_usage() {
    let manager = AdaptiveThresholdManager::new(AdaptiveConfig::default());
    let memory = manager.get_memory_usage().await;
    // Should be >= base memory (50.0)
    assert!(memory >= 50.0);
}

#[tokio::test]
async fn test_get_cpu_usage() {
    let manager = AdaptiveThresholdManager::new(AdaptiveConfig::default());
    let cpu = manager.get_cpu_usage().await;
    // Should be between 0 and 1
    assert!((0.0..=1.0).contains(&cpu));
}

#[tokio::test]
async fn test_get_cpu_usage_with_samples() {
    let manager = AdaptiveThresholdManager::new(AdaptiveConfig::default());

    // Add recent samples
    for _ in 0..5 {
        let sample = create_sample_edge(100, 0.8, 200.0, 0.5, 2);
        manager.record_sample(sample).await.unwrap();
    }

    let cpu = manager.get_cpu_usage().await;
    // Should reflect recent activity
    assert!((0.0..=1.0).contains(&cpu));
}

#[tokio::test]
async fn test_get_performance_stats_empty() {
    let manager = AdaptiveThresholdManager::new(AdaptiveConfig::default());
    let stats = manager.get_performance_stats().await;

    assert_eq!(stats.total_samples, 0);
    assert_eq!(stats.avg_analysis_duration_ms, 0.0);
}

#[tokio::test]
async fn test_scale_down_with_high_cpu() {
    let config = AdaptiveConfig {
        target_analysis_time_ms: 200,
        max_cpu_utilization: 0.5,
        max_memory_mb: 500.0,
        sample_window_size: 12,
        ..Default::default()
    };
    let manager = AdaptiveThresholdManager::new(config);

    // Add samples with high CPU but fast performance and high cache
    for _ in 0..15 {
        let sample = create_sample_edge(80, 0.95, 200.0, 0.8, 2); // Fast, high cache, high CPU
        manager.record_sample(sample).await.unwrap();
    }

    // Should trigger adjustment due to high CPU
    let _thresholds = manager.get_current_thresholds().await;
}

#[tokio::test]
async fn test_adjustment_history_limit() {
    let config = AdaptiveConfig {
        target_analysis_time_ms: 100,
        min_cache_hit_ratio: 0.9, // Hard to achieve
        sample_window_size: 10,
        ..Default::default()
    };
    let manager = AdaptiveThresholdManager::new(config);

    // Add many samples to trigger many adjustments
    for _ in 0..200 {
        let sample = create_sample_edge(200, 0.3, 100.0, 0.5, 2); // Triggers adjustments
        manager.record_sample(sample).await.unwrap();
    }

    // Adjustment history should be limited to 100
    let stats = manager.get_performance_stats().await;
    assert!(stats.recent_adjustments_count <= 100);
}

// =============================================================================
// FACTORY TESTS
// =============================================================================

#[test]
fn test_factory_create_default() {
    let manager = AdaptiveThresholdFactory::create_default();
    let _ = format!("{:?}", manager.config);
}

#[test]
fn test_factory_create_dev_optimized() {
    let manager = AdaptiveThresholdFactory::create_dev_optimized();
    assert_eq!(manager.config.target_analysis_time_ms, 50);
    assert_eq!(manager.config.sample_window_size, 20);
    assert_eq!(manager.config.adjustment_sensitivity, 0.2);
}

#[test]
fn test_factory_create_prod_optimized() {
    let manager = AdaptiveThresholdFactory::create_prod_optimized();
    assert_eq!(manager.config.target_analysis_time_ms, 200);
    assert_eq!(manager.config.sample_window_size, 100);
    assert_eq!(manager.config.adjustment_sensitivity, 0.05);
}

// =============================================================================
// EDGE CASE TESTS
// =============================================================================

#[tokio::test]
async fn test_insufficient_samples_for_adjustment() {
    let manager = AdaptiveThresholdManager::new(AdaptiveConfig::default());

    // Add only 5 samples (below minimum for adjustment)
    for _ in 0..5 {
        let sample = create_sample_edge(200, 0.3, 600.0, 0.9, 10);
        manager.record_sample(sample).await.unwrap();
    }

    let thresholds = manager.get_current_thresholds().await;
    // Should still be at defaults since not enough samples
    assert_eq!(thresholds.hot_cache_size, 1000);
}

#[tokio::test]
async fn test_insufficient_samples_for_trend() {
    let manager = AdaptiveThresholdManager::new(AdaptiveConfig::default());

    // Add only 5 samples
    for _ in 0..5 {
        let sample = create_sample_edge(100, 0.8, 200.0, 0.5, 2);
        manager.record_sample(sample).await.unwrap();
    }

    let stats = manager.get_performance_stats().await;
    // Should be stable since not enough samples for trend calculation
    assert!(matches!(stats.performance_trend, PerformanceTrend::Stable));
}

#[tokio::test]
async fn test_scale_up_max_limits() {
    let config = AdaptiveConfig {
        target_analysis_time_ms: 50,
        min_cache_hit_ratio: 0.9,
        sample_window_size: 10,
        adjustment_sensitivity: 0.5, // Large adjustments
        ..Default::default()
    };
    let manager = AdaptiveThresholdManager::new(config);

    // Trigger many scale-ups
    for _ in 0..50 {
        let sample = create_sample_edge(200, 0.3, 100.0, 0.3, 2);
        manager.record_sample(sample).await.unwrap();
    }

    let thresholds = manager.get_current_thresholds().await;
    // Should be capped at max values
    assert!(thresholds.hot_cache_size <= 10000);
    assert!(thresholds.high_priority_permits <= 50);
    assert!(thresholds.low_priority_permits <= 20);
}

#[tokio::test]
async fn test_scale_down_min_limits() {
    let config = AdaptiveConfig {
        target_analysis_time_ms: 500,
        max_memory_mb: 50.0, // Very low to trigger scale down
        max_cpu_utilization: 0.2,
        sample_window_size: 10,
        adjustment_sensitivity: 0.5,
        ..Default::default()
    };
    let manager = AdaptiveThresholdManager::new(config);

    // Trigger many scale-downs
    for _ in 0..50 {
        let sample = create_sample_edge(50, 0.95, 300.0, 0.9, 2); // Fast but resource heavy
        manager.record_sample(sample).await.unwrap();
    }

    let thresholds = manager.get_current_thresholds().await;
    // Should be floored at min values
    assert!(thresholds.hot_cache_size >= 100);
    assert!(thresholds.high_priority_permits >= 2);
    assert!(thresholds.low_priority_permits >= 1);
}

#[tokio::test]
async fn test_no_adjustment_moderate_performance() {
    // Exercise the Ok(None) return path in calculate_adjustment:
    // Performance is moderate (not slow enough for ScaleUp, not excellent enough for Maintain),
    // and resource usage is within limits (no ScaleDown/MoreCompression needed).
    let config = AdaptiveConfig {
        target_analysis_time_ms: 100,
        max_memory_mb: 512.0,
        max_cpu_utilization: 0.8,
        sample_window_size: 20,
        ..Default::default()
    };
    let manager = AdaptiveThresholdManager::new(config);

    // duration=80: NOT > 150 (target*1.5), so skip first block
    // memory=100 <= 512 and cpu=0.3 <= 0.8, so skip resource block
    // duration=80: NOT < 50 (target*0.5), so skip Maintain block
    // Result: Ok(None) -- no adjustment
    for _ in 0..15 {
        let sample = create_sample_edge(80, 0.7, 100.0, 0.3, 2);
        manager.record_sample(sample).await.unwrap();
    }

    let thresholds = manager.get_current_thresholds().await;
    // Should remain at defaults since no adjustment was triggered
    assert_eq!(thresholds.hot_cache_size, 1000);
    assert_eq!(thresholds.compression_level, 4);
    assert_eq!(thresholds.high_priority_permits, 10);
}

#[tokio::test]
async fn test_compression_level_bounds() {
    let config = AdaptiveConfig {
        target_analysis_time_ms: 10, // Very aggressive
        max_memory_mb: 1000.0,
        sample_window_size: 10,
        ..Default::default()
    };
    let manager = AdaptiveThresholdManager::new(config);

    // Trigger less compression adjustments
    for _ in 0..20 {
        let sample = create_sample_edge(100, 0.8, 100.0, 0.3, 2);
        manager.record_sample(sample).await.unwrap();
    }

    let thresholds = manager.get_current_thresholds().await;
    // Compression level should be within valid range
    assert!(thresholds.compression_level >= 1);
    assert!(thresholds.compression_level <= 9);
}