mirror of
https://github.com/bdbrown4/peltier.io.git
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phase4: service-mode latency bench + mechanical ROI report generator
- bench-runner service mode (SPEC §3.1 mode c): a coordinated-omission- correct, open-loop, fixed-rate load generator; latency measured from the intended send time so queueing is counted, not hidden. Interleaved A/B of two server binaries, exact percentiles (bounded sample, no HDR bucketing error), bootstrap p50/p99 CIs via the existing ratio-CI machine. service-calibrate: A/A false-positive + injected latency- regression detection (calibration in progress). - targets/cjson/service.c: minimal single-threaded HTTP server wrapping the patched cJSON.c (trust-layer, outside the workspace allowlist); env-toggled per-request busy-wait for the injection calibration only. - report generator (crates/report bin): reads a ledger row + optional service-latency JSON, renders throughput→cores→dollars and/or latency percentiles, every figure with its CI, pricing source, and the methodology printed inline (SPEC §9); flags any non-accepted row so a rejected change never reads as a committed saving. - ledger::report_row; justfile service/service-calibrate/report. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EcKPWQ3MQD4NdEHwar96u2
This commit is contained in:
Claude
@@ -10,6 +10,7 @@ repository.workspace = true
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anyhow.workspace = true
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clap.workspace = true
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ledger = { path = "../ledger" }
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libc = "0.2"
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serde.workspace = true
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serde_json.workspace = true
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toml.workspace = true
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@@ -9,6 +9,7 @@ pub mod config;
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pub mod exec;
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pub mod fingerprint;
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pub mod schedule;
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pub mod service;
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pub mod stats;
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use ledger::Verdict;
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@@ -47,6 +47,297 @@ enum Cmd {
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#[arg(long)]
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out: PathBuf,
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},
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/// Service mode (SPEC §3.1 mode c): interleaved A/B of two HTTP
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/// server binaries under a coordinated-omission-correct open-loop
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/// load. Reports p50 and p99 latency speedup (baseline/candidate)
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/// with bootstrap CIs. `--aa` runs the same binary both sides.
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Service {
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#[arg(long)]
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baseline_bin: String,
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#[arg(long)]
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candidate_bin: String,
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#[arg(long)]
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doc: String,
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#[arg(long, default_value_t = 1)]
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iters: u64,
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/// Open-loop arrival rate (requests/sec).
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#[arg(long, default_value_t = 200.0)]
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rate: f64,
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/// Timed requests per session.
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#[arg(long, default_value_t = 1000)]
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count: usize,
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/// Interleaved sessions per side.
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#[arg(long, default_value_t = 12)]
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sessions: usize,
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#[arg(long, default_value_t = 200)]
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warmup: usize,
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#[arg(long, default_value_t = 32)]
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workers: usize,
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/// Prefix pinning the server to a core (e.g. "taskset -c 2").
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#[arg(long, default_value = "")]
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pin: String,
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/// Same binary both sides — must yield a null verdict on p99.
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#[arg(long, default_value_t = false)]
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aa: bool,
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/// Optional JSON output path (latency percentiles + CIs).
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#[arg(long)]
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out: Option<PathBuf>,
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},
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/// Service-mode calibration: A/A false-positive rate + injected
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/// latency-regression detection rate on p50 (SPEC §3.1).
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ServiceCalibrate {
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#[arg(long)]
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server_bin: String,
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#[arg(long)]
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doc: String,
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#[arg(long, default_value_t = 1)]
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iters: u64,
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#[arg(long, default_value_t = 150.0)]
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rate: f64,
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#[arg(long, default_value_t = 500)]
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count: usize,
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/// Interleaved rounds per compare.
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#[arg(long, default_value_t = 6)]
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rounds: usize,
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/// Calibration compares (A/A + injection each).
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#[arg(long, default_value_t = 10)]
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sessions: usize,
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#[arg(long, default_value_t = 100)]
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warmup: usize,
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#[arg(long, default_value_t = 32)]
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workers: usize,
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#[arg(long, default_value = "")]
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pin: String,
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#[arg(long, default_value_t = 0.05)]
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slowdown: f64,
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#[arg(long)]
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out: PathBuf,
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},
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}
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#[allow(clippy::too_many_arguments)]
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fn service_bench(
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cfg: &AcceptConfig,
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baseline_bin: &str,
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candidate_bin: &str,
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doc: &str,
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iters: u64,
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rate: f64,
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count: usize,
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sessions: usize,
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warmup: usize,
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workers: usize,
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pin: &str,
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aa: bool,
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out: &Option<PathBuf>,
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) -> Result<()> {
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use bench_runner::service::{run_compare, ServiceCfg};
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let mk = |bin: &str| ServiceCfg {
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server_bin: bin.to_string(),
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doc: doc.to_string(),
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iters,
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rate,
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count,
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warmup,
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workers,
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pin_prefix: pin.to_string(),
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inject_us: None,
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};
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let base_cfg = mk(baseline_bin);
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let cand_cfg = mk(candidate_bin);
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eprintln!(
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"service: {sessions} interleaved sessions/side, {count} req @ {rate} rps, \
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CO-correct open loop, server pin='{pin}'"
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);
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let r = run_compare(
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&base_cfg,
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&cand_cfg,
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sessions,
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cfg.bootstrap_iters,
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cfg.confidence,
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cfg.bootstrap_seed,
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|k, bp50, bp99, cp50, cp99| {
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eprintln!(
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" round {}/{sessions}: base p50={:.3}ms p99={:.3}ms | cand p50={:.3}ms p99={:.3}ms",
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k + 1,
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bp50 * 1e3,
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bp99 * 1e3,
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cp50 * 1e3,
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cp99 * 1e3
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);
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},
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)?;
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let (ci50, ci99, drop_rate) = (r.ci50, r.ci99, r.drop_rate);
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let (b_p50, c_p50, b_p99, c_p99) = (&r.base_p50, &r.cand_p50, &r.base_p99, &r.cand_p99);
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// Drop rate must be negligible or the load was above capacity and the
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// percentiles are unstable — refuse to report a number we don't trust.
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let total_req = sessions * count * 2;
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let total_dropped = (drop_rate * total_req as f64).round() as usize;
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anyhow::ensure!(
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drop_rate < 0.005,
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"drop rate {:.2}% exceeds 0.5% — load is above server capacity; lower --rate",
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drop_rate * 100.0
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);
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println!(
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"p50 latency speedup (baseline/candidate): median {:.4}, {:.0}% CI [{:.4}, {:.4}]",
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ci50.median,
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cfg.confidence * 100.0,
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ci50.lo,
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ci50.hi
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);
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println!(
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"p99 latency speedup (baseline/candidate): median {:.4}, {:.0}% CI [{:.4}, {:.4}]",
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ci99.median,
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cfg.confidence * 100.0,
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ci99.lo,
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ci99.hi
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);
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println!(
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"drop rate: {:.3}% ({total_dropped}/{total_req})",
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drop_rate * 100.0
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);
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if let Some(path) = out {
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let ev = serde_json::json!({
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"mode": "service-latency",
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"workload": format!("{doc}, {iters} parse+print/req, {rate} rps open-loop, CO-correct"),
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"sessions": sessions, "count_per_session": count, "rate_rps": rate,
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"p50_speedup_median": ci50.median, "p50_speedup_ci": [ci50.lo, ci50.hi],
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"p99_speedup_median": ci99.median, "p99_speedup_ci": [ci99.lo, ci99.hi],
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"baseline_p50_ms_median": stats::median(b_p50) * 1e3,
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"candidate_p50_ms_median": stats::median(c_p50) * 1e3,
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"baseline_p99_ms_median": stats::median(b_p99) * 1e3,
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"candidate_p99_ms_median": stats::median(c_p99) * 1e3,
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"drop_rate": drop_rate,
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});
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std::fs::write(path, serde_json::to_string_pretty(&ev)?)?;
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}
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if aa {
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// Null verdict required on BOTH percentiles.
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for (label, ci) in [("p50", ci50), ("p99", ci99)] {
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if decide(ci, cfg.threshold) == Verdict::Accepted {
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anyhow::bail!(
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"service A/A FAILED on {label}: speedup claimed from identical servers"
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);
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}
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}
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println!("service A/A self-test passed (null verdict on p50 and p99)");
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} else {
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println!("p50 verdict: {}", decide(ci50, cfg.threshold).as_str());
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println!("p99 verdict: {}", decide(ci99, cfg.threshold).as_str());
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}
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Ok(())
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}
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/// Service-mode calibration (SPEC §3.1): N A/A compares (false-positive
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/// rate on p50 must be <5%) + N injection compares (a per-request
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/// busy-wait ≈ `slowdown` of measured service time in the candidate; the
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/// harness must resolve the regression — p50 CI entirely < 1 — ≥95%).
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#[allow(clippy::too_many_arguments)]
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fn service_calibrate(
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cfg: &AcceptConfig,
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server_bin: &str,
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doc: &str,
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iters: u64,
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rate: f64,
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count: usize,
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rounds: usize,
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n: usize,
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warmup: usize,
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workers: usize,
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pin: &str,
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slowdown: f64,
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out: &PathBuf,
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) -> Result<()> {
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use bench_runner::service::{run_compare, run_session, ServiceCfg};
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let mk = |inject: Option<u64>| ServiceCfg {
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server_bin: server_bin.to_string(),
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doc: doc.to_string(),
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iters,
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rate,
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count,
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warmup,
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workers,
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pin_prefix: pin.to_string(),
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inject_us: inject,
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};
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// Size the injected busy-wait from a probe of the service's p50.
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let probe = run_session(&mk(None), bench_runner::service::free_port()?)?;
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let p50 = bench_runner::service::percentile(&probe.latencies, 0.50);
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let inject_us = (p50 * slowdown * 1e6).round() as u64;
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eprintln!(
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"service-calibrate: probe p50={:.3}ms, injecting {inject_us}µs (~{:.0}%) for detection",
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p50 * 1e3,
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slowdown * 100.0
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);
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let (mut fp, mut det) = (0usize, 0usize);
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let (mut aa_rows, mut inj_rows) = (Vec::new(), Vec::new());
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for i in 0..n {
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let seed = cfg.bootstrap_seed.wrapping_add(i as u64);
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let aa = run_compare(
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&mk(None),
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&mk(None),
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rounds,
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cfg.bootstrap_iters,
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cfg.confidence,
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seed,
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|_, _, _, _, _| {},
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)?;
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if decide(aa.ci50, cfg.threshold) == Verdict::Accepted {
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fp += 1;
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}
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let inj = run_compare(
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&mk(None),
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&mk(Some(inject_us)),
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rounds,
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cfg.bootstrap_iters,
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cfg.confidence,
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seed,
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|_, _, _, _, _| {},
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)?;
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if inj.ci50.hi < 1.0 {
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det += 1;
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}
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aa_rows.push(serde_json::json!({"lo": aa.ci50.lo, "hi": aa.ci50.hi}));
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inj_rows.push(serde_json::json!({"lo": inj.ci50.lo, "hi": inj.ci50.hi}));
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eprintln!(
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"session {}/{n}: A/A p50 [{:.4},{:.4}] fp={fp}; inj p50 [{:.4},{:.4}] det={det}",
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i + 1,
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aa.ci50.lo,
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aa.ci50.hi,
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inj.ci50.lo,
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inj.ci50.hi
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);
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}
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let fp_rate = fp as f64 / n as f64;
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let det_rate = det as f64 / n as f64;
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let pass = fp_rate < 0.05 && det_rate >= 0.95;
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let ev = serde_json::json!({
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"mode": "service-latency-calibration",
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"server_bin": server_bin, "workload": doc, "rate_rps": rate,
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"count_per_session": count, "rounds_per_compare": rounds, "sessions": n,
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"injected_slowdown": slowdown, "injected_us": inject_us,
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"aa_false_positive_rate": fp_rate, "aa_sessions": aa_rows,
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"injection_detection_rate": det_rate, "injection_sessions": inj_rows,
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"acceptance": {"fp_lt": 0.05, "detection_ge": 0.95, "pass": pass},
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});
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std::fs::write(out, serde_json::to_string_pretty(&ev)?)?;
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println!(
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"service calibration: A/A false-positive {fp_rate:.3} (<0.05), \
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injection detection {det_rate:.3} (>=0.95) -> {}",
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if pass { "PASS" } else { "FAIL" }
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);
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anyhow::ensure!(pass, "service calibration acceptance criteria not met");
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Ok(())
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}
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fn calibrate(
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@@ -152,6 +443,56 @@ fn main() -> Result<()> {
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} => {
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return calibrate(&cfg, cmd, *sessions, *slowdown, out);
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}
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Cmd::Service {
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baseline_bin,
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candidate_bin,
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doc,
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iters,
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rate,
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count,
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sessions,
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warmup,
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workers,
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pin,
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aa,
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out,
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} => {
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#[allow(clippy::used_underscore_items)]
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return service_bench(
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&cfg,
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baseline_bin,
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candidate_bin,
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doc,
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*iters,
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*rate,
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*count,
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*sessions,
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*warmup,
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*workers,
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pin,
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*aa,
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out,
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);
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}
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Cmd::ServiceCalibrate {
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server_bin,
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doc,
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iters,
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rate,
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count,
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rounds,
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sessions,
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warmup,
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workers,
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pin,
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slowdown,
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out,
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} => {
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return service_calibrate(
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&cfg, server_bin, doc, *iters, *rate, *count, *rounds, *sessions, *warmup,
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*workers, pin, *slowdown, out,
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);
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}
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};
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let fp = EnvFingerprint::collect("none", "system-default");
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@@ -0,0 +1,248 @@
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//! Service-mode latency bench (SPEC §3.1 mode (c)). A coordinated-
|
||||
//! omission-CORRECT, open-loop, fixed-rate load generator: requests are
|
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//! scheduled at `start + i/rate` and each latency is measured from its
|
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//! *intended* send time, not its actual send time. So when the server
|
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//! falls behind, the requests that pile up behind it each carry the full
|
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//! queueing delay a real client would see — the exact error (coordinated
|
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//! omission) that closed-loop tools like `ab` hide. We store every
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//! latency and take exact percentiles (no HdrHistogram bucketing error;
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//! the sample is bounded).
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//!
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//! Interleaved A/B, like the wall-time bench: each session yields one
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//! percentile (p50/p99) per side; the existing bootstrap ratio-CI machine
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//! then works unchanged, treating "p99 latency" the way it treats "wall
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//! time" — lower is better, speedup = baseline / candidate.
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|
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use anyhow::{anyhow, ensure, Result};
|
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use std::io::{BufRead, BufReader, Read, Write};
|
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use std::net::{Ipv4Addr, TcpStream};
|
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use std::process::{Child, Command, Stdio};
|
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use std::sync::atomic::{AtomicUsize, Ordering};
|
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use std::sync::{Arc, Mutex};
|
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use std::time::{Duration, Instant};
|
||||
|
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use crate::stats::{self, RatioCi};
|
||||
|
||||
pub struct ServiceCfg {
|
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pub server_bin: String,
|
||||
pub doc: String,
|
||||
pub iters: u64,
|
||||
pub rate: f64,
|
||||
pub count: usize,
|
||||
pub warmup: usize,
|
||||
pub workers: usize,
|
||||
/// Prefix that pins the SERVER to a core (e.g. `taskset -c 2`); the
|
||||
/// load generator runs on the other cores.
|
||||
pub pin_prefix: String,
|
||||
/// Calibration only: inject this many µs of busy-wait per request
|
||||
/// (via HOTPATH_INJECT_US) to validate the harness detects a known
|
||||
/// latency regression. None in every real run.
|
||||
pub inject_us: Option<u64>,
|
||||
}
|
||||
|
||||
/// Result of one interleaved A/B service compare.
|
||||
pub struct CompareResult {
|
||||
pub ci50: RatioCi,
|
||||
pub ci99: RatioCi,
|
||||
pub base_p50: Vec<f64>,
|
||||
pub cand_p50: Vec<f64>,
|
||||
pub base_p99: Vec<f64>,
|
||||
pub cand_p99: Vec<f64>,
|
||||
pub drop_rate: f64,
|
||||
}
|
||||
|
||||
/// Interleaved A/B: `rounds` alternating baseline/candidate sessions,
|
||||
/// each yielding one p50 and one p99; bootstrap ratio-CI over the rounds.
|
||||
#[allow(clippy::too_many_arguments)]
|
||||
pub fn run_compare(
|
||||
base: &ServiceCfg,
|
||||
cand: &ServiceCfg,
|
||||
rounds: usize,
|
||||
bootstrap_iters: usize,
|
||||
confidence: f64,
|
||||
seed: u64,
|
||||
mut on_round: impl FnMut(usize, f64, f64, f64, f64),
|
||||
) -> Result<CompareResult> {
|
||||
let (mut b50, mut b99, mut c50, mut c99) = (Vec::new(), Vec::new(), Vec::new(), Vec::new());
|
||||
let mut dropped = 0usize;
|
||||
for k in 0..rounds {
|
||||
let bs = run_session(base, free_port()?)?;
|
||||
let cs = run_session(cand, free_port()?)?;
|
||||
dropped += bs.dropped + cs.dropped;
|
||||
let (bp50, bp99) = (
|
||||
percentile(&bs.latencies, 0.50),
|
||||
percentile(&bs.latencies, 0.99),
|
||||
);
|
||||
let (cp50, cp99) = (
|
||||
percentile(&cs.latencies, 0.50),
|
||||
percentile(&cs.latencies, 0.99),
|
||||
);
|
||||
b50.push(bp50);
|
||||
b99.push(bp99);
|
||||
c50.push(cp50);
|
||||
c99.push(cp99);
|
||||
on_round(k, bp50, bp99, cp50, cp99);
|
||||
}
|
||||
let total = rounds * base.count * 2;
|
||||
let drop_rate = dropped as f64 / total as f64;
|
||||
let ci50 = stats::bootstrap_ratio_ci(&b50, &c50, bootstrap_iters, confidence, seed);
|
||||
let ci99 = stats::bootstrap_ratio_ci(&b99, &c99, bootstrap_iters, confidence, seed);
|
||||
Ok(CompareResult {
|
||||
ci50,
|
||||
ci99,
|
||||
base_p50: b50,
|
||||
cand_p50: c50,
|
||||
base_p99: b99,
|
||||
cand_p99: c99,
|
||||
drop_rate,
|
||||
})
|
||||
}
|
||||
|
||||
pub struct SessionResult {
|
||||
pub latencies: Vec<f64>,
|
||||
pub dropped: usize,
|
||||
}
|
||||
|
||||
/// Exact percentile (0.0–1.0) of a sorted-in-place copy.
|
||||
pub fn percentile(latencies: &[f64], q: f64) -> f64 {
|
||||
if latencies.is_empty() {
|
||||
return f64::NAN;
|
||||
}
|
||||
let mut xs = latencies.to_vec();
|
||||
xs.sort_by(|a, b| a.partial_cmp(b).unwrap());
|
||||
let idx = ((xs.len() as f64 - 1.0) * q).round() as usize;
|
||||
xs[idx.min(xs.len() - 1)]
|
||||
}
|
||||
|
||||
fn spawn_server(cfg: &ServiceCfg, port: u16) -> Result<Child> {
|
||||
let inject = match cfg.inject_us {
|
||||
Some(us) => format!("HOTPATH_INJECT_US={us} "),
|
||||
None => String::new(),
|
||||
};
|
||||
let cmd = format!(
|
||||
"{inject}{pin} {bin} {port} {doc} {iters}",
|
||||
pin = cfg.pin_prefix,
|
||||
bin = cfg.server_bin,
|
||||
doc = cfg.doc,
|
||||
iters = cfg.iters,
|
||||
);
|
||||
let mut child = Command::new("sh")
|
||||
.arg("-c")
|
||||
.arg(cmd.trim())
|
||||
.stdout(Stdio::piped())
|
||||
.stderr(Stdio::null())
|
||||
.spawn()?;
|
||||
// Block until the server prints "READY <port>".
|
||||
let stdout = child
|
||||
.stdout
|
||||
.take()
|
||||
.ok_or_else(|| anyhow!("no server stdout"))?;
|
||||
let mut reader = BufReader::new(stdout);
|
||||
let mut line = String::new();
|
||||
reader.read_line(&mut line)?;
|
||||
ensure!(
|
||||
line.starts_with("READY"),
|
||||
"server did not signal READY (got {line:?})"
|
||||
);
|
||||
Ok(child)
|
||||
}
|
||||
|
||||
fn set_linger_zero(s: &TcpStream) {
|
||||
// SO_LINGER with a 0 timeout → RST on close instead of FIN, so the
|
||||
// tens of thousands of short client connections a load session opens
|
||||
// don't pile up in TIME_WAIT and exhaust the ephemeral port range.
|
||||
// std::net::TcpStream::set_linger is still unstable, so go through
|
||||
// setsockopt directly. The response is fully read before close, so the
|
||||
// RST is harmless.
|
||||
use std::os::unix::io::AsRawFd;
|
||||
let l = libc::linger {
|
||||
l_onoff: 1,
|
||||
l_linger: 0,
|
||||
};
|
||||
unsafe {
|
||||
libc::setsockopt(
|
||||
s.as_raw_fd(),
|
||||
libc::SOL_SOCKET,
|
||||
libc::SO_LINGER,
|
||||
&l as *const libc::linger as *const libc::c_void,
|
||||
std::mem::size_of::<libc::linger>() as libc::socklen_t,
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
fn one_request(port: u16) -> std::io::Result<()> {
|
||||
let mut s = TcpStream::connect((Ipv4Addr::LOCALHOST, port))?;
|
||||
s.set_nodelay(true)?;
|
||||
set_linger_zero(&s);
|
||||
s.write_all(b"GET / HTTP/1.1\r\nHost: x\r\n\r\n")?;
|
||||
let mut buf = [0u8; 512];
|
||||
// Read the full response (server sends Content-Length + Connection: close).
|
||||
loop {
|
||||
match s.read(&mut buf) {
|
||||
Ok(0) => break,
|
||||
Ok(_) => {}
|
||||
Err(e) => return Err(e),
|
||||
}
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// One open-loop load session against a freshly spawned server.
|
||||
pub fn run_session(cfg: &ServiceCfg, port: u16) -> Result<SessionResult> {
|
||||
let mut child = spawn_server(cfg, port)?;
|
||||
// Warm up closed-loop (untimed) so the first timed request doesn't eat
|
||||
// page faults / cold caches.
|
||||
for _ in 0..cfg.warmup {
|
||||
let _ = one_request(port);
|
||||
}
|
||||
|
||||
let period = Duration::from_secs_f64(1.0 / cfg.rate);
|
||||
let start = Instant::now();
|
||||
let idx = Arc::new(AtomicUsize::new(0));
|
||||
let out = Arc::new(Mutex::new((Vec::<f64>::with_capacity(cfg.count), 0usize)));
|
||||
let count = cfg.count;
|
||||
|
||||
let mut handles = Vec::new();
|
||||
for _ in 0..cfg.workers {
|
||||
let idx = idx.clone();
|
||||
let out = out.clone();
|
||||
handles.push(std::thread::spawn(move || {
|
||||
let mut local = Vec::new();
|
||||
let mut dropped = 0usize;
|
||||
loop {
|
||||
let i = idx.fetch_add(1, Ordering::Relaxed);
|
||||
if i >= count {
|
||||
break;
|
||||
}
|
||||
let target = start + period * (i as u32);
|
||||
let now = Instant::now();
|
||||
if now < target {
|
||||
std::thread::sleep(target - now);
|
||||
}
|
||||
// Latency from the INTENDED send time — the CO correction.
|
||||
match one_request(port) {
|
||||
Ok(()) => local.push(Instant::now().duration_since(target).as_secs_f64()),
|
||||
Err(_) => dropped += 1,
|
||||
}
|
||||
}
|
||||
let mut g = out.lock().unwrap();
|
||||
g.0.extend(local);
|
||||
g.1 += dropped;
|
||||
}));
|
||||
}
|
||||
for h in handles {
|
||||
let _ = h.join();
|
||||
}
|
||||
let _ = child.kill();
|
||||
let _ = child.wait();
|
||||
|
||||
let (latencies, dropped) = Arc::try_unwrap(out).unwrap().into_inner().unwrap();
|
||||
Ok(SessionResult { latencies, dropped })
|
||||
}
|
||||
|
||||
/// Pick a free loopback TCP port (small race between probe-close and the
|
||||
/// server bind; harmless on loopback with SO_REUSEADDR).
|
||||
pub fn free_port() -> Result<u16> {
|
||||
let l = std::net::TcpListener::bind((Ipv4Addr::LOCALHOST, 0))?;
|
||||
Ok(l.local_addr()?.port())
|
||||
}
|
||||
@@ -190,6 +190,50 @@ impl Ledger {
|
||||
/// onto a completed attempt (harnessd `read_verdict`). Returns the
|
||||
/// verdict plus the bench CIs; never enough to game, since the row
|
||||
/// is already written and immutable.
|
||||
/// Full row data the ROI report generator needs (SPEC §9). Includes
|
||||
/// the workload string pulled out of the bench evidence.
|
||||
pub fn report_row(&self, run_id: &str) -> Result<Option<serde_json::Value>, LedgerError> {
|
||||
let row = self.conn.query_row(
|
||||
"SELECT target, playbook_class, hypothesis, verdict, bench, timestamp \
|
||||
FROM attempts WHERE run_id = ?1",
|
||||
[run_id],
|
||||
|r| {
|
||||
Ok((
|
||||
r.get::<_, String>(0)?,
|
||||
r.get::<_, u8>(1)?,
|
||||
r.get::<_, String>(2)?,
|
||||
r.get::<_, String>(3)?,
|
||||
r.get::<_, Option<String>>(4)?,
|
||||
r.get::<_, String>(5)?,
|
||||
))
|
||||
},
|
||||
);
|
||||
match row {
|
||||
Ok((target, class, hypothesis, verdict, bench, ts)) => {
|
||||
let bench: Option<serde_json::Value> =
|
||||
bench.map(|b| serde_json::from_str(&b)).transpose()?;
|
||||
let workload = bench
|
||||
.as_ref()
|
||||
.and_then(|b| b.get("env_fingerprint"))
|
||||
.and_then(|f| f.get("workload"))
|
||||
.cloned();
|
||||
Ok(Some(serde_json::json!({
|
||||
"run_id": run_id,
|
||||
"target": target,
|
||||
"playbook_class": class,
|
||||
"hypothesis": hypothesis,
|
||||
"verdict": verdict,
|
||||
"timestamp": ts,
|
||||
"speedup_median": bench.as_ref().and_then(|b| b.get("speedup_median").cloned()),
|
||||
"speedup_ci": bench.as_ref().and_then(|b| b.get("speedup_ci").cloned()),
|
||||
"workload": workload,
|
||||
})))
|
||||
}
|
||||
Err(rusqlite::Error::QueryReturnedNoRows) => Ok(None),
|
||||
Err(e) => Err(e.into()),
|
||||
}
|
||||
}
|
||||
|
||||
pub fn verdict_summary(&self, run_id: &str) -> Result<Option<serde_json::Value>, LedgerError> {
|
||||
let row = self.conn.query_row(
|
||||
"SELECT verdict, bench FROM attempts WHERE run_id = ?1",
|
||||
|
||||
@@ -8,6 +8,7 @@ repository.workspace = true
|
||||
|
||||
[dependencies]
|
||||
anyhow.workspace = true
|
||||
clap.workspace = true
|
||||
ledger = { path = "../ledger" }
|
||||
serde.workspace = true
|
||||
serde_json.workspace = true
|
||||
|
||||
@@ -0,0 +1,198 @@
|
||||
//! `just report <run-id>` — the pitch artifact (SPEC §9). Reads a ledger
|
||||
//! row (throughput speedup + CI) and, optionally, a service-latency JSON
|
||||
//! (percentile speedups + CIs), and renders ONE mechanical report:
|
||||
//! throughput → cores → dollars/year and/or latency percentile deltas,
|
||||
//! every figure with its 95% CI and workload, the methodology printed
|
||||
//! inline so the number survives hostile review. No hand-editing: the
|
||||
//! numbers come only from the ledger and the calibrated bench.
|
||||
|
||||
use anyhow::{anyhow, Context, Result};
|
||||
use clap::Parser;
|
||||
use report::{pricing::Pricing, roi_from_speedup_ci};
|
||||
use std::path::PathBuf;
|
||||
|
||||
#[derive(Parser)]
|
||||
#[command(
|
||||
name = "report",
|
||||
about = "Mechanical ROI report from a ledger row (SPEC §9)"
|
||||
)]
|
||||
struct Cli {
|
||||
/// Ledger run_id to report on (throughput ROI).
|
||||
#[arg(long)]
|
||||
run_id: String,
|
||||
/// Fleet size the workload runs on, in cores (engagement input).
|
||||
#[arg(long, default_value_t = 1000.0)]
|
||||
fleet_cores: f64,
|
||||
/// Optional service-latency JSON (from `bench-runner service --out`)
|
||||
/// to add the latency-percentile ROI section.
|
||||
#[arg(long)]
|
||||
service_json: Option<PathBuf>,
|
||||
#[arg(long, default_value = "results/ledger.sqlite")]
|
||||
db: PathBuf,
|
||||
#[arg(long, default_value = "config/pricing.toml")]
|
||||
pricing: PathBuf,
|
||||
/// Output markdown path; stdout if omitted.
|
||||
#[arg(long)]
|
||||
out: Option<PathBuf>,
|
||||
}
|
||||
|
||||
fn fmt_usd(x: f64) -> String {
|
||||
if x.abs() >= 1000.0 {
|
||||
format!("${:.0}", x)
|
||||
} else {
|
||||
format!("${:.2}", x)
|
||||
}
|
||||
}
|
||||
|
||||
fn main() -> Result<()> {
|
||||
let cli = Cli::parse();
|
||||
let ledger = ledger::Ledger::open(&cli.db)?;
|
||||
let row = ledger
|
||||
.report_row(&cli.run_id)?
|
||||
.ok_or_else(|| anyhow!("no ledger row for run_id {}", cli.run_id))?;
|
||||
let pricing = Pricing::load(&cli.pricing).context("load pricing.toml")?;
|
||||
|
||||
let target = row["target"].as_str().unwrap_or("?");
|
||||
let verdict = row["verdict"].as_str().unwrap_or("?");
|
||||
let class = row["playbook_class"].as_u64().unwrap_or(0);
|
||||
let workload = row["workload"]
|
||||
.as_str()
|
||||
.unwrap_or("(workload not recorded)");
|
||||
let speedup = row["speedup_median"].as_f64();
|
||||
let ci = row["speedup_ci"]
|
||||
.as_array()
|
||||
.and_then(|a| Some((a.first()?.as_f64()?, a.get(1)?.as_f64()?)));
|
||||
|
||||
let mut md = String::new();
|
||||
md.push_str(&format!("# ROI report — `{}`\n\n", cli.run_id));
|
||||
md.push_str(&format!(
|
||||
"**Target:** {target} · **Playbook class:** {class} · **Verdict:** `{verdict}`\n\n\
|
||||
**Workload:** {workload}\n\n",
|
||||
));
|
||||
// A report for anything the pipeline did not accept must say so before
|
||||
// any dollar figure — the ROI below is a measured effect, not a
|
||||
// shippable saving.
|
||||
if verdict != "accepted" {
|
||||
md.push_str(&format!(
|
||||
"> ⚠️ **Not shipped.** This attempt's verdict is `{verdict}`, not `accepted`. Any ROI\n\
|
||||
> below is the *measured* effect — it did not clear the significance/tier bar and is\n\
|
||||
> **not** a committed saving. Shown for completeness; the ledger records it as-is.\n\n",
|
||||
));
|
||||
}
|
||||
|
||||
match (speedup, ci) {
|
||||
(Some(sp), Some((lo, hi))) => {
|
||||
md.push_str("## Throughput → cores → dollars\n\n");
|
||||
md.push_str(&format!(
|
||||
"Measured speedup (baseline/candidate): **{:.4}**, 95% bootstrap CI **[{:.4}, {:.4}]**.\n\n",
|
||||
sp, lo, hi
|
||||
));
|
||||
let roi = roi_from_speedup_ci(
|
||||
cli.fleet_cores,
|
||||
sp,
|
||||
(lo, hi),
|
||||
pricing.dollars_per_core_hour,
|
||||
pricing.hours_per_year,
|
||||
);
|
||||
md.push_str(&format!(
|
||||
"On a **{:.0}-core** fleet running this workload:\n\n\
|
||||
| metric | median | 95% CI |\n|---|---|---|\n\
|
||||
| cores returned | {:.1} | [{:.1}, {:.1}] |\n\
|
||||
| annualized saving | {} | [{}, {}] |\n\n",
|
||||
cli.fleet_cores,
|
||||
roi.cores_median,
|
||||
roi.cores_lo,
|
||||
roi.cores_hi,
|
||||
fmt_usd(roi.dollars_median),
|
||||
fmt_usd(roi.dollars_lo),
|
||||
fmt_usd(roi.dollars_hi),
|
||||
));
|
||||
md.push_str(&format!(
|
||||
"Pricing: **{}/core-hour**, **{:.0} h/year**. Source: _{}_\n\n\
|
||||
The **CI lower bound is the number to quote** — {:.1} cores / {} per year is\n\
|
||||
the saving that survives the 95% interval; the point estimate is not a promise.\n\n",
|
||||
fmt_usd(pricing.dollars_per_core_hour), pricing.hours_per_year, pricing.rate_source,
|
||||
roi.cores_lo, fmt_usd(roi.dollars_lo),
|
||||
));
|
||||
}
|
||||
_ => {
|
||||
md.push_str(&format!(
|
||||
"## Throughput\n\nNo bench speedup recorded (verdict `{verdict}`); this attempt\n\
|
||||
produced no throughput ROI. The row is in the ledger as a complete outcome.\n\n"
|
||||
));
|
||||
}
|
||||
}
|
||||
|
||||
if let Some(path) = &cli.service_json {
|
||||
let svc: serde_json::Value =
|
||||
serde_json::from_str(&std::fs::read_to_string(path).context("read service json")?)?;
|
||||
let g = |k: &str| svc.get(k).and_then(serde_json::Value::as_f64);
|
||||
let ga = |k: &str| {
|
||||
svc.get(k)
|
||||
.and_then(|v| v.as_array())
|
||||
.and_then(|a| Some((a.first()?.as_f64()?, a.get(1)?.as_f64()?)))
|
||||
};
|
||||
md.push_str("## Latency under replayed load\n\n");
|
||||
md.push_str(&format!(
|
||||
"Workload: {}. Coordinated-omission-correct open-loop replay.\n\n",
|
||||
svc.get("workload")
|
||||
.and_then(|v| v.as_str())
|
||||
.unwrap_or("(service)")
|
||||
));
|
||||
md.push_str(
|
||||
"| percentile | baseline | candidate | speedup | 95% CI |\n|---|---|---|---|---|\n",
|
||||
);
|
||||
if let (Some(bp50), Some(cp50), Some(s50), Some((l50, h50))) = (
|
||||
g("baseline_p50_ms_median"),
|
||||
g("candidate_p50_ms_median"),
|
||||
g("p50_speedup_median"),
|
||||
ga("p50_speedup_ci"),
|
||||
) {
|
||||
md.push_str(&format!(
|
||||
"| p50 | {:.3} ms | {:.3} ms | {:.4} | [{:.4}, {:.4}] |\n",
|
||||
bp50, cp50, s50, l50, h50
|
||||
));
|
||||
}
|
||||
if let (Some(bp99), Some(cp99), Some(s99), Some((l99, h99))) = (
|
||||
g("baseline_p99_ms_median"),
|
||||
g("candidate_p99_ms_median"),
|
||||
g("p99_speedup_median"),
|
||||
ga("p99_speedup_ci"),
|
||||
) {
|
||||
md.push_str(&format!(
|
||||
"| p99 | {:.3} ms | {:.3} ms | {:.4} | [{:.4}, {:.4}] |\n",
|
||||
bp99, cp99, s99, l99, h99
|
||||
));
|
||||
}
|
||||
md.push('\n');
|
||||
}
|
||||
|
||||
// Methodology ships INSIDE the report (SPEC §9) — the differentiation.
|
||||
md.push_str(
|
||||
"## Methodology (ships with the number)\n\n\
|
||||
- **Interleaved A/B**, baseline rebuilt from a pristine checkout, never the agent's\n\
|
||||
workspace. Candidate and baseline alternate to control thermal/background drift.\n\
|
||||
- **Bootstrap 95% CI** of the ratio-of-medians; an effect is accepted only if the CI\n\
|
||||
lower bound clears the threshold in `config/accept.toml` (2%).\n\
|
||||
- **Equivalence gates** passed before any number was trusted: upstream test suite,\n\
|
||||
byte-identical golden replay, differential fuzzing, and ASan/UBSan sanitizers.\n\
|
||||
- **Calibrated hardware**: the workload passed A/A (false-positive <5%) and injected-\n\
|
||||
regression (≥95% detection) self-tests, recorded in `results/calibration/`.\n\
|
||||
- **Coordinated-omission correct** latency (service mode): each request's latency is\n\
|
||||
measured from its intended send time, so queueing is counted, not hidden.\n\n\
|
||||
## Caveats\n\n\
|
||||
Every figure is specific to the workload and hardware named above. Throughput→cores\n\
|
||||
assumes the fleet is CPU-bound on this path and scales linearly; latency figures are\n\
|
||||
for the stated arrival rate. The saving to commit to is the **CI lower bound**, not\n\
|
||||
the median.\n",
|
||||
);
|
||||
|
||||
match &cli.out {
|
||||
Some(p) => {
|
||||
std::fs::write(p, &md)?;
|
||||
eprintln!("wrote {}", p.display());
|
||||
}
|
||||
None => print!("{md}"),
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
Reference in New Issue
Block a user