559903a14e
The Walking-skeleton milestone's closing seam: a real `aura run` binary that
bootstraps a built-in sample harness, runs it deterministically, and prints the
cycle-0009 metrics+manifest report as canonical JSON to stdout — the headline
C14 "run a sim, emit structured metrics" move, end-to-end, from a binary for the
first time.
Two deliverables:
- aura-std::Recorder — a reusable recording sink node (the glossary *sink* role,
C8/C22): a pure consumer (output: vec![]) over kinds.len() input columns,
holding an mpsc::Sender<(Timestamp, Vec<Scalar>)> as its out-of-graph
destination. mpsc keeps the engine's purity invariant (C7): no Rc/RefCell.
Supports all four base scalar kinds; returns None until every column is warm.
Promotes the shape the #[cfg(test)] fixtures already proved into a shipped,
reusable block (the fixtures stay as historical snapshots; de-dup is a later
tidy).
- aura-cli `run` subcommand — synthetic_prices / sample_harness / run_sample /
main. The sample harness (synthetic source → SMA(2)/SMA(4) → Sub → Exposure →
SimBroker → two Recorder sinks) is authored in plain Rust over the raw
Harness::bootstrap(nodes, sources, edges) API (C17/C20) — the open
experiment-builder DSL thread is deliberately not committed this cycle. main
hand-parses one subcommand: `run` prints run_sample().to_json() (exit 0),
anything else prints a one-line usage to stderr (exit 2). aura-cli gains
aura-std + aura-core path deps; the workspace stays zero-(external-)dependency.
The built-in synthetic stream (7 ticks, rises then reverses) yields a non-trivial
demo trace: equity [0,0,0,0,-0.08,-0.17,-0.13] → total_pips -0.13, max_drawdown
0.17, exposure_sign_flips 1. The run_sample unit test pins the integer flip count
exactly and the two f64 metrics within 1e-9 (the real run's float dust is ~7e-15,
confirming the tolerance); determinism is pinned exactly (two runs → identical
JSON). tests/cli_run.rs drives the built binary for the observable exit/stdout
contract.
manifest.commit is filled from option_env!("AURA_COMMIT") (defaults to
"unknown"); real HEAD capture via build.rs is deferred. Non-goals untouched:
experiment-builder DSL, aura new, Aura.toml schema, the data-server source (#7).
One deviation from the plan's verbatim code: a scoped
#[allow(clippy::type_complexity)] on sample_harness (its (Harness, Receiver,
Receiver) return tuple trips the lint under -D warnings) — consistent with the
identical allow on the build_two_sink_harness fixture in aura-engine. Verified
myself: cargo test --workspace (61 green, 0 red), clippy --all-targets
-D warnings (clean), cargo doc -D warnings (clean), and both smoke runs.
closes #8
161 lines
6.2 KiB
Rust
161 lines
6.2 KiB
Rust
//! `aura` — the programmatic / CLI face of the engine (the surface the LLM and
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//! automation drive: author a node, run a sim/sweep, emit structured metrics).
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//!
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//! The walking skeleton's closing seam: `aura run` bootstraps a built-in sample
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//! signal-quality harness (synthetic source → SMA-cross → Exposure → SimBroker →
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//! recording sinks), runs it deterministically (C1), and prints the run's
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//! metrics + manifest (#6) as canonical JSON to stdout (the headline C14 move).
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use aura_core::{Firing, Scalar, ScalarKind, Timestamp};
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use aura_engine::{
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f64_field, summarize, Edge, Harness, RunManifest, RunReport, SourceSpec, Target,
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};
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use aura_std::{Exposure, Recorder, SimBroker, Sma, Sub};
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use std::sync::mpsc::{self, Receiver};
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/// The built-in synthetic price stream: rises through t=4 then reverses, so the
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/// demo trace carries one exposure sign flip and a real drawdown (C22 populated
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/// trace). Deterministic and fixed (C1).
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fn synthetic_prices() -> Vec<(Timestamp, Scalar)> {
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[
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(1_i64, 1.0000_f64),
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(2, 1.0010),
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(3, 1.0030),
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(4, 1.0060),
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(5, 1.0040),
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(6, 1.0010),
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(7, 0.9990),
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]
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.iter()
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.map(|&(t, p)| (Timestamp(t), Scalar::F64(p)))
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.collect()
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}
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/// Bootstrap the sample signal-quality harness with two recording sinks (equity
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/// tapped on the SimBroker, exposure tapped on the Exposure node). Rust-authored
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/// wiring (C17/C20) over the raw bootstrap API — no builder DSL this cycle. The
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/// price taps both SMAs and the broker's price slot (slot 1); exposure feeds the
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/// broker's slot 0 (slot order is load-bearing — both are f64).
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// The harness-plus-two-drained-sink-receivers tuple has exactly one call site
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// (`run_sample`); a named type would be speculative abstraction this cycle.
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#[allow(clippy::type_complexity)]
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fn sample_harness() -> (
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Harness,
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Receiver<(Timestamp, Vec<Scalar>)>,
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Receiver<(Timestamp, Vec<Scalar>)>,
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) {
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let (tx_eq, rx_eq) = mpsc::channel();
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let (tx_ex, rx_ex) = mpsc::channel();
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let h = Harness::bootstrap(
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vec![
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Box::new(Sma::new(2)), // 0 fast SMA
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Box::new(Sma::new(4)), // 1 slow SMA
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Box::new(Sub::new()), // 2 spread
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Box::new(Exposure::new(0.5)), // 3 exposure
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Box::new(SimBroker::new(0.0001)), // 4 sim-optimal broker
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Box::new(Recorder::new(&[ScalarKind::F64], Firing::Any, tx_eq)), // 5 equity sink
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Box::new(Recorder::new(&[ScalarKind::F64], Firing::Any, tx_ex)), // 6 exposure sink
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],
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vec![SourceSpec {
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kind: ScalarKind::F64,
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targets: vec![
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Target { node: 0, slot: 0 },
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Target { node: 1, slot: 0 },
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Target { node: 4, slot: 1 }, // price into the broker's price slot
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],
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}],
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vec![
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Edge { from: 0, to: 2, slot: 0, from_field: 0 },
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Edge { from: 1, to: 2, slot: 1, from_field: 0 },
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Edge { from: 2, to: 3, slot: 0, from_field: 0 },
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Edge { from: 3, to: 4, slot: 0, from_field: 0 }, // exposure into broker slot 0
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Edge { from: 4, to: 5, slot: 0, from_field: 0 }, // equity -> sink 5
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Edge { from: 3, to: 6, slot: 0, from_field: 0 }, // exposure -> sink 6
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],
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)
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.expect("valid sample signal-quality DAG");
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(h, rx_eq, rx_ex)
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}
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/// Run the sample harness and fold it into a `RunReport` (drain both sinks →
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/// `f64_field` → `summarize` → pair with a `RunManifest`). Pure and deterministic
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/// (C1): the same build yields the same report.
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fn run_sample() -> RunReport {
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let (mut h, rx_eq, rx_ex) = sample_harness();
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let prices = synthetic_prices();
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let window = (
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prices.first().expect("non-empty stream").0,
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prices.last().expect("non-empty stream").0,
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);
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h.run(vec![prices]);
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let eq_rows: Vec<(Timestamp, Vec<Scalar>)> = rx_eq.try_iter().collect();
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let ex_rows: Vec<(Timestamp, Vec<Scalar>)> = rx_ex.try_iter().collect();
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let equity = f64_field(&eq_rows, 0);
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let exposure = f64_field(&ex_rows, 0);
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let metrics = summarize(&equity, &exposure);
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RunReport {
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manifest: RunManifest {
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commit: option_env!("AURA_COMMIT").unwrap_or("unknown").to_string(),
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params: vec![
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("sma_fast".to_string(), 2.0),
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("sma_slow".to_string(), 4.0),
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("exposure_scale".to_string(), 0.5),
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],
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window,
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seed: 0,
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broker: "sim-optimal(pip_size=0.0001)".to_string(),
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},
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metrics,
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}
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}
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fn main() {
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let mut args = std::env::args().skip(1);
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match args.next().as_deref() {
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Some("run") => println!("{}", run_sample().to_json()),
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_ => {
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eprintln!("aura: usage: aura run");
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std::process::exit(2);
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}
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[test]
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fn run_sample_is_deterministic_and_non_trivial() {
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let r1 = run_sample();
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let r2 = run_sample();
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// C1 determinism: two runs are bit-identical (metrics + rendered JSON).
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assert_eq!(r1.metrics, r2.metrics);
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assert_eq!(r1.to_json(), r2.to_json());
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let m = &r1.metrics;
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// exactly one exposure sign flip in the demo trace (rises then reverses).
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assert_eq!(m.exposure_sign_flips, 1);
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// a non-trivial, populated trace: a real drawdown.
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assert!(m.max_drawdown > 0.0);
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// hand-computed magnitudes for the chosen stream (float tolerance; the
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// computation's dust is ~1e-15).
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assert!(
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(m.max_drawdown - 0.17).abs() < 1e-9,
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"max_drawdown = {}",
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m.max_drawdown
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);
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assert!(
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(m.total_pips - (-0.13)).abs() < 1e-9,
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"total_pips = {}",
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m.total_pips
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);
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// manifest carries the sample's known configuration.
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let (from, to) = r1.manifest.window;
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assert_eq!((from.0, to.0), (1, 7));
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assert_eq!(r1.manifest.commit, "unknown");
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}
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}
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