foxhunt/ml/tests/inference_engine_test.rs

//! Inference Engine Tests
//!
//! Comprehensive testing for ML inference engine covering:
//! - Configuration validation
//! - Fallback prediction logic
//! - Feature bounds checking
//! - Signal weighting
//! - Prediction bounds enforcement
//! - Error handling

#![allow(unused_crate_dependencies)]

use ml::integration::inference_engine::{
    FallbackPredictionConfig, FeatureBounds, FeatureDefaults, InferenceEngineConfig,
    PredictionBounds, SignalScaling, SignalWeights,
};

/// Test: Fallback prediction config - emergency defaults
#[test]
fn test_fallback_config_emergency_defaults() {
    let config = FallbackPredictionConfig::emergency_safe_defaults();

    // Base prediction should be market neutral
    assert_eq!(config.base_prediction, 0.5);
    assert_eq!(config.neutral_prediction, 0.5);

    // Confidence should be very low for safety
    assert_eq!(config.default_confidence, 0.1);
    assert!(config.default_confidence <= 0.2);

    // Signal weights should be very conservative
    assert!(config.signal_weights.momentum_weight <= 0.1);
    assert!(config.signal_weights.volume_weight <= 0.1);
    assert!(config.signal_weights.spread_weight <= 0.1);
    assert!(config.signal_weights.volatility_weight <= 0.1);
}

/// Test: Fallback config - default trait
#[test]
fn test_fallback_config_default_trait() {
    let config = FallbackPredictionConfig::default();

    // Default should match emergency safe defaults
    assert_eq!(config.base_prediction, 0.5);
    assert_eq!(config.neutral_prediction, 0.5);
    assert_eq!(config.default_confidence, 0.1);
}

/// Test: Signal weights - all positive
#[test]
fn test_signal_weights_positive() {
    let config = FallbackPredictionConfig::default();
    let weights = &config.signal_weights;

    // All weights should be positive
    assert!(weights.momentum_weight >= 0.0);
    assert!(weights.volume_weight >= 0.0);
    assert!(weights.spread_weight >= 0.0);
    assert!(weights.volatility_weight >= 0.0);

    // Weights should be reasonable (< 1.0 for safety)
    assert!(weights.momentum_weight <= 1.0);
    assert!(weights.volume_weight <= 1.0);
    assert!(weights.spread_weight <= 1.0);
    assert!(weights.volatility_weight <= 1.0);
}

/// Test: Signal scaling - conservative defaults
#[test]
fn test_signal_scaling_conservative() {
    let config = FallbackPredictionConfig::default();
    let scaling = &config.signal_scaling;

    // All scaling factors should be small for safety
    assert!(scaling.momentum_scale <= 0.1);
    assert!(scaling.volume_scale <= 0.1);
    assert!(scaling.spread_scale <= 0.1);
    assert!(scaling.volatility_scale <= 0.1);

    // All scaling factors should be positive
    assert!(scaling.momentum_scale > 0.0);
    assert!(scaling.volume_scale > 0.0);
    assert!(scaling.spread_scale > 0.0);
    assert!(scaling.volatility_scale > 0.0);
}

/// Test: Feature bounds - valid ranges
#[test]
fn test_feature_bounds_valid_ranges() {
    let config = FallbackPredictionConfig::default();
    let bounds = &config.feature_bounds;

    // Min should be less than max for all features
    assert!(bounds.momentum_min < bounds.momentum_max);
    assert!(bounds.volume_min < bounds.volume_max);
    assert!(bounds.spread_min < bounds.spread_max);
    assert!(bounds.volatility_min < bounds.volatility_max);

    // Bounds should be reasonable
    assert!(bounds.momentum_min >= -1.0);
    assert!(bounds.momentum_max <= 1.0);
    assert!(bounds.volume_min >= 0.0);
    assert!(bounds.spread_min >= 0.0);
    assert!(bounds.volatility_min >= 0.0);
}

/// Test: Feature bounds - momentum bounds
#[test]
fn test_feature_bounds_momentum() {
    let config = FallbackPredictionConfig::default();
    let bounds = &config.feature_bounds;

    // Momentum bounds should be symmetric around zero
    assert_eq!(bounds.momentum_min, -0.1);
    assert_eq!(bounds.momentum_max, 0.1);
    assert!(bounds.momentum_min.abs() == bounds.momentum_max);
}

/// Test: Feature bounds - volume bounds
#[test]
fn test_feature_bounds_volume() {
    let config = FallbackPredictionConfig::default();
    let bounds = &config.feature_bounds;

    // Volume should be non-negative
    assert_eq!(bounds.volume_min, 0.0);
    assert!(bounds.volume_max > 0.0);
    assert!(bounds.volume_max <= 10.0); // Reasonable upper limit
}

/// Test: Feature bounds - spread bounds
#[test]
fn test_feature_bounds_spread() {
    let config = FallbackPredictionConfig::default();
    let bounds = &config.feature_bounds;

    // Spread should be non-negative and small
    assert_eq!(bounds.spread_min, 0.0);
    assert!(bounds.spread_max > 0.0);
    assert!(bounds.spread_max <= 1.0);
}

/// Test: Feature bounds - volatility bounds
#[test]
fn test_feature_bounds_volatility() {
    let config = FallbackPredictionConfig::default();
    let bounds = &config.feature_bounds;

    // Volatility should be non-negative
    assert_eq!(bounds.volatility_min, 0.0);
    assert!(bounds.volatility_max > 0.0);
    assert!(bounds.volatility_max <= 2.0);
}

/// Test: Feature defaults - neutral values
#[test]
fn test_feature_defaults_neutral() {
    let config = FallbackPredictionConfig::default();
    let defaults = &config.feature_defaults;

    // Momentum default should be neutral (zero)
    assert_eq!(defaults.momentum_default, 0.0);

    // Volume default should be average
    assert_eq!(defaults.volume_default, 1.0);

    // Spread default should be small
    assert!(defaults.spread_default > 0.0);
    assert!(defaults.spread_default <= 0.1);

    // Volatility default should be low
    assert!(defaults.volatility_default > 0.0);
    assert!(defaults.volatility_default <= 0.5);
}

/// Test: Feature defaults - within bounds
#[test]
fn test_feature_defaults_within_bounds() {
    let config = FallbackPredictionConfig::default();
    let defaults = &config.feature_defaults;
    let bounds = &config.feature_bounds;

    // All defaults should be within bounds
    assert!(defaults.momentum_default >= bounds.momentum_min);
    assert!(defaults.momentum_default <= bounds.momentum_max);

    assert!(defaults.volume_default >= bounds.volume_min);
    assert!(defaults.volume_default <= bounds.volume_max);

    assert!(defaults.spread_default >= bounds.spread_min);
    assert!(defaults.spread_default <= bounds.spread_max);

    assert!(defaults.volatility_default >= bounds.volatility_min);
    assert!(defaults.volatility_default <= bounds.volatility_max);
}

/// Test: Prediction bounds - around neutral
#[test]
fn test_prediction_bounds_neutral() {
    let config = FallbackPredictionConfig::default();
    let bounds = &config.prediction_bounds;

    // Bounds should be very narrow around 0.5 (neutral)
    assert_eq!(bounds.min, 0.45);
    assert_eq!(bounds.max, 0.55);

    // Range should be tight for safety
    let range = bounds.max - bounds.min;
    assert_eq!(range, 0.1); // 10% range
}

/// Test: Prediction bounds - valid range
#[test]
fn test_prediction_bounds_valid() {
    let config = FallbackPredictionConfig::default();
    let bounds = &config.prediction_bounds;

    // Min should be less than max
    assert!(bounds.min < bounds.max);

    // Bounds should be in [0, 1]
    assert!(bounds.min >= 0.0);
    assert!(bounds.max <= 1.0);

    // Base prediction should be within bounds
    assert!(config.base_prediction >= bounds.min);
    assert!(config.base_prediction <= bounds.max);
}

/// Test: Inference engine config - default values
#[test]
fn test_inference_engine_config_defaults() {
    let config = InferenceEngineConfig::default();

    // Max concurrent requests should be positive
    assert!(config.max_concurrent_requests > 0);
    assert!(config.max_concurrent_requests <= 1000); // Reasonable limit

    // Default timeout should be positive
    assert!(config.default_timeout_us > 0);
    assert!(config.default_timeout_us <= 1_000_000); // At most 1 second

    // Max batch size should be positive and reasonable
    assert!(config.max_batch_size > 0);
    assert!(config.max_batch_size <= 1000);
}

/// Test: Inference engine config - ONNX flag
#[test]
fn test_inference_engine_config_onnx() {
    let config = InferenceEngineConfig::default();

    // ONNX can be enabled or disabled
    // Just verify the field exists and is boolean
    let _onnx_enabled = config.enable_onnx;
}

/// Test: Signal weights - custom values
#[test]
fn test_signal_weights_custom() {
    let weights = SignalWeights {
        momentum_weight: 0.4,
        volume_weight: 0.3,
        spread_weight: 0.2,
        volatility_weight: 0.1,
    };

    assert_eq!(weights.momentum_weight, 0.4);
    assert_eq!(weights.volume_weight, 0.3);
    assert_eq!(weights.spread_weight, 0.2);
    assert_eq!(weights.volatility_weight, 0.1);

    // Weights sum to 1.0 (typical normalization)
    let sum = weights.momentum_weight
        + weights.volume_weight
        + weights.spread_weight
        + weights.volatility_weight;
    assert!((sum - 1.0).abs() < 0.001);
}

/// Test: Signal scaling - custom values
#[test]
fn test_signal_scaling_custom() {
    let scaling = SignalScaling {
        momentum_scale: 0.05,
        volume_scale: 0.03,
        spread_scale: 0.02,
        volatility_scale: 0.01,
    };

    assert_eq!(scaling.momentum_scale, 0.05);
    assert_eq!(scaling.volume_scale, 0.03);
    assert_eq!(scaling.spread_scale, 0.02);
    assert_eq!(scaling.volatility_scale, 0.01);
}

/// Test: Feature bounds - custom ranges
#[test]
fn test_feature_bounds_custom() {
    let bounds = FeatureBounds {
        momentum_min: -0.5,
        momentum_max: 0.5,
        volume_min: 0.0,
        volume_max: 5.0,
        spread_min: 0.0,
        spread_max: 0.2,
        volatility_min: 0.0,
        volatility_max: 1.0,
    };

    // Verify custom values
    assert_eq!(bounds.momentum_min, -0.5);
    assert_eq!(bounds.momentum_max, 0.5);
    assert_eq!(bounds.volume_max, 5.0);
    assert_eq!(bounds.spread_max, 0.2);
    assert_eq!(bounds.volatility_max, 1.0);

    // Verify invariants still hold
    assert!(bounds.momentum_min < bounds.momentum_max);
    assert!(bounds.volume_min < bounds.volume_max);
}

/// Test: Feature defaults - custom values
#[test]
fn test_feature_defaults_custom() {
    let defaults = FeatureDefaults {
        momentum_default: 0.05,
        volume_default: 1.5,
        spread_default: 0.02,
        volatility_default: 0.2,
    };

    assert_eq!(defaults.momentum_default, 0.05);
    assert_eq!(defaults.volume_default, 1.5);
    assert_eq!(defaults.spread_default, 0.02);
    assert_eq!(defaults.volatility_default, 0.2);
}

/// Test: Prediction bounds - custom range
#[test]
fn test_prediction_bounds_custom() {
    let bounds = PredictionBounds { min: 0.3, max: 0.7 };

    assert_eq!(bounds.min, 0.3);
    assert_eq!(bounds.max, 0.7);
    assert!(bounds.min < bounds.max);

    let range = bounds.max - bounds.min;
    assert_eq!(range, 0.4);
}

/// Test: Prediction bounds - edge cases
#[test]
fn test_prediction_bounds_edge_cases() {
    // Very narrow range
    let narrow = PredictionBounds {
        min: 0.49,
        max: 0.51,
    };
    assert!(narrow.max - narrow.min == 0.02);

    // Wide range
    let wide = PredictionBounds { min: 0.0, max: 1.0 };
    assert!(wide.max - wide.min == 1.0);
}

/// Test: Fallback config - serialization
#[test]
fn test_fallback_config_serialization() {
    let config = FallbackPredictionConfig::default();

    // Serialize to JSON
    let json = serde_json::to_string(&config).expect("Should serialize");

    // Deserialize back
    let deserialized: FallbackPredictionConfig =
        serde_json::from_str(&json).expect("Should deserialize");

    // Verify key fields match
    assert_eq!(config.base_prediction, deserialized.base_prediction);
    assert_eq!(
        config.neutral_prediction,
        deserialized.neutral_prediction
    );
    assert_eq!(
        config.default_confidence,
        deserialized.default_confidence
    );
}

/// Test: Inference engine config - serialization
#[test]
fn test_inference_config_serialization() {
    let config = InferenceEngineConfig::default();

    // Serialize to JSON
    let json = serde_json::to_string(&config).expect("Should serialize");

    // Deserialize back
    let deserialized: InferenceEngineConfig =
        serde_json::from_str(&json).expect("Should deserialize");

    // Verify key fields match
    assert_eq!(
        config.max_concurrent_requests,
        deserialized.max_concurrent_requests
    );
    assert_eq!(
        config.default_timeout_us,
        deserialized.default_timeout_us
    );
    assert_eq!(config.max_batch_size, deserialized.max_batch_size);
}

/// Test: Fallback config - clone trait
#[test]
fn test_fallback_config_clone() {
    let config1 = FallbackPredictionConfig::default();
    let config2 = config1.clone();

    assert_eq!(config1.base_prediction, config2.base_prediction);
    assert_eq!(config1.neutral_prediction, config2.neutral_prediction);
    assert_eq!(config1.default_confidence, config2.default_confidence);
}

/// Test: Inference engine config - clone trait
#[test]
fn test_inference_config_clone() {
    let config1 = InferenceEngineConfig::default();
    let config2 = config1.clone();

    assert_eq!(
        config1.max_concurrent_requests,
        config2.max_concurrent_requests
    );
    assert_eq!(
        config1.default_timeout_us,
        config2.default_timeout_us
    );
    assert_eq!(config1.max_batch_size, config2.max_batch_size);
}