foxhunt/ml/examples/check_feature_count.rs

//! Feature Count Checker
//!
//! Simple utility to check the current feature count configuration
//! Used by rollback tests to validate feature-only rollback

use ml::features::config::FeatureConfig;

fn main() {
    // Check Wave A
    let wave_a = FeatureConfig::wave_a();
    println!("Wave A: feature_count: {}", wave_a.feature_count());

    // Check Wave B
    let wave_b = FeatureConfig::wave_b();
    println!("Wave B: feature_count: {}", wave_b.feature_count());

    // Check Wave C
    let wave_c = FeatureConfig::wave_c();
    println!("Wave C: feature_count: {}", wave_c.feature_count());

    // Check Wave D (this is what we test during rollback)
    let wave_d = FeatureConfig::wave_d();
    println!("Wave D: feature_count: {}", wave_d.feature_count());
    println!("Wave D regime enabled: {}", wave_d.enable_wave_d_regime);

    // Exit code based on Wave D config
    if wave_d.feature_count() == 201 && !wave_d.enable_wave_d_regime {
        println!("\n✅ Wave D rolled back to Wave C (201 features)");
        std::process::exit(0);
    } else if wave_d.feature_count() == 225 && wave_d.enable_wave_d_regime {
        println!("\n✅ Wave D active (225 features)");
        std::process::exit(0);
    } else {
        println!("\n⚠ Unexpected configuration state");
        std::process::exit(1);
    }
}