Module regression 

Performance regression detection and tracking

This module provides tools for detecting performance regressions in semantic search systems by comparing current performance against historical baselines.

Features

• Baseline Management: Track performance baselines over time
• Regression Detection: Automatically detect performance degradation
• Trend Analysis: Identify performance trends
• Alerting: Flag significant regressions for investigation

Example

use ipfrs_semantic::regression::{RegressionDetector, PerformanceMetrics};
use std::time::Duration;

let mut detector = RegressionDetector::new();

// Record baseline metrics
let baseline = PerformanceMetrics {
    avg_query_latency: Duration::from_micros(500),
    p99_latency: Duration::from_millis(2),
    throughput_qps: 5000.0,
    memory_mb: 512.0,
    index_size: 100000,
};
detector.set_baseline(baseline)?;

// Test current performance
let current = PerformanceMetrics {
    avg_query_latency: Duration::from_micros(750), // 50% slower!
    p99_latency: Duration::from_millis(3),
    throughput_qps: 4000.0,
    memory_mb: 520.0,
    index_size: 100000,
};

let report = detector.check_regression(&current)?;
if report.has_regression {
    println!("⚠️  Regression detected!");
    for issue in &report.issues {
        println!("  - {}: {:.1}% change", issue.metric, issue.percent_change);
    }
}

Structs

MetricSummary

Statistical summary for a metric

PerformanceMetrics

Performance metrics for a specific test run

RegressionConfig

Configuration for regression detection

RegressionDetector

Performance regression detector

RegressionIssue

Regression issue detected

RegressionReport

Regression detection report