magi-code 0.96.1

Repository-aware CLI coding agent for terminal work
Documentation 
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use super::*;
use crate::sessions::Session;

fn append_completed_turn(session: &Session, cwd: &Path, user: &str, assistant: &str) {
    for (kind, payload) in [
        (SessionEventKind::UserInput, json!({"text": user})),
        (
            SessionEventKind::AssistantOutput,
            json!({"text": assistant}),
        ),
        (SessionEventKind::TurnStatus, json!({"status": "completed"})),
    ] {
        session
            .append(&SessionEvent::new_kind(
                kind,
                session.id().to_string(),
                cwd.to_path_buf(),
                payload,
            ))
            .unwrap();
    }
}

fn add_metrics(total: &mut ReplayCacheMetrics, next: ReplayCacheMetrics) {
    total.full_scans += next.full_scans;
    total.bytes_read += next.bytes_read;
    total.lines_parsed += next.lines_parsed;
    total.events_parsed += next.events_parsed;
    total.replay_builds += next.replay_builds;
    total.events_before_cutoff += next.events_before_cutoff;
    total.events_after_cutoff += next.events_after_cutoff;
    total.cache_hits += next.cache_hits;
    total.invalidations += next.invalidations;
}

fn replay_benchmark_sample() -> (
    std::time::Duration,
    std::time::Duration,
    ReplayCacheMetrics,
    ReplayCacheMetrics,
) {
    let temp = TempDir::new().unwrap();
    let session = crate::sessions::SessionManager::new(temp.path().join("sessions"))
        .create()
        .unwrap();
    let mut baseline_elapsed = std::time::Duration::ZERO;
    let mut optimized_elapsed = std::time::Duration::ZERO;
    let mut baseline_metrics = ReplayCacheMetrics::default();
    let mut optimized = ConversationReplayCache::default();
    const PROMPTS: usize = 40;

    for index in 0..PROMPTS {
        append_completed_turn(
            &session,
            temp.path(),
            &format!("question {index} {}", "x".repeat(2_000)),
            &format!("answer {index} {}", "y".repeat(2_000)),
        );

        let start = std::time::Instant::now();
        for _ in 0..2 {
            let mut replay = ConversationReplayCache::default();
            replay.replay(Some(&session)).unwrap();
            add_metrics(&mut baseline_metrics, replay.metrics());
        }
        baseline_elapsed += start.elapsed();

        let start = std::time::Instant::now();
        optimized.replay(Some(&session)).unwrap();
        optimized.replay(Some(&session)).unwrap();
        optimized_elapsed += start.elapsed();
    }
    (
        baseline_elapsed,
        optimized_elapsed,
        baseline_metrics,
        optimized.metrics(),
    )
}

fn percentile(samples: &mut [std::time::Duration], percentile: usize) -> std::time::Duration {
    samples.sort_unstable();
    let index = (samples.len() - 1) * percentile / 100;
    samples[index]
}

#[test]
#[ignore = "release-mode replay benchmark; run with --release --ignored --nocapture"]
fn replay_snapshot_benchmark_growing_sessions() {
    const WARMUP_SAMPLES: usize = 1;
    const SAMPLES: usize = 9;
    const PROMPTS: u64 = 40;
    for _ in 0..WARMUP_SAMPLES {
        let _ = replay_benchmark_sample();
    }
    let mut baseline_times = Vec::with_capacity(SAMPLES);
    let mut optimized_times = Vec::with_capacity(SAMPLES);
    let mut baseline_metrics = ReplayCacheMetrics::default();
    let mut optimized_metrics = ReplayCacheMetrics::default();
    for _ in 0..SAMPLES {
        let (baseline, optimized, baseline_sample, optimized_sample) = replay_benchmark_sample();
        baseline_times.push(baseline);
        optimized_times.push(optimized);
        baseline_metrics = baseline_sample;
        optimized_metrics = optimized_sample;
    }
    let baseline_median = percentile(&mut baseline_times.clone(), 50);
    let baseline_p95 = percentile(&mut baseline_times, 95);
    let optimized_median = percentile(&mut optimized_times.clone(), 50);
    let optimized_p95 = percentile(&mut optimized_times, 95);

    eprintln!(
        "session_replay_benchmark fixture_seed=sequential-0.70 warmup={WARMUP_SAMPLES} samples={SAMPLES} prompts={PROMPTS} baseline_median_ms={} baseline_p95_ms={} optimized_median_ms={} optimized_p95_ms={} baseline_scans={} optimized_scans={} baseline_bytes={} optimized_bytes={} baseline_lines={} optimized_lines={} baseline_events={} optimized_events={} baseline_replay_builds={} optimized_replay_builds={} optimized_cache_hits={}",
        baseline_median.as_millis(),
        baseline_p95.as_millis(),
        optimized_median.as_millis(),
        optimized_p95.as_millis(),
        baseline_metrics.full_scans,
        optimized_metrics.full_scans,
        baseline_metrics.bytes_read,
        optimized_metrics.bytes_read,
        baseline_metrics.lines_parsed,
        optimized_metrics.lines_parsed,
        baseline_metrics.events_parsed,
        optimized_metrics.events_parsed,
        baseline_metrics.replay_builds,
        optimized_metrics.replay_builds,
        optimized_metrics.cache_hits,
    );
    assert_eq!(baseline_metrics.full_scans, PROMPTS * 2);
    assert_eq!(optimized_metrics.full_scans, PROMPTS);
    assert_eq!(optimized_metrics.replay_builds, PROMPTS);
    assert_eq!(optimized_metrics.cache_hits, PROMPTS);
    // Chosen before implementation: median wall time must improve by at least 25%.
    assert!(optimized_median * 4 <= baseline_median * 3);
}