//! `aura` — the programmatic / CLI face of the engine (the surface the LLM and //! automation drive: author a node, run a sim/sweep, emit structured metrics). //! //! The walking skeleton's closing seam: `aura run` bootstraps a built-in sample //! signal-quality harness (synthetic source → SMA-cross → Exposure → SimBroker → //! recording sinks), runs it deterministically (C1), and prints the run's //! metrics + manifest (#6) as canonical JSON to stdout (the headline C14 move). use aura_core::{Firing, Scalar, ScalarKind, Timestamp}; use aura_engine::{ f64_field, summarize, Edge, Harness, RunManifest, RunReport, SourceSpec, Target, }; use aura_std::{Exposure, Recorder, SimBroker, Sma, Sub}; use std::sync::mpsc::{self, Receiver}; /// The built-in synthetic price stream: rises through t=4 then reverses, so the /// demo trace carries one exposure sign flip and a real drawdown (C22 populated /// trace). Deterministic and fixed (C1). fn synthetic_prices() -> Vec<(Timestamp, Scalar)> { [ (1_i64, 1.0000_f64), (2, 1.0010), (3, 1.0030), (4, 1.0060), (5, 1.0040), (6, 1.0010), (7, 0.9990), ] .iter() .map(|&(t, p)| (Timestamp(t), Scalar::F64(p))) .collect() } /// Bootstrap the sample signal-quality harness with two recording sinks (equity /// tapped on the SimBroker, exposure tapped on the Exposure node). Rust-authored /// wiring (C17/C20) over the raw bootstrap API — no builder DSL this cycle. The /// price taps both SMAs and the broker's price slot (slot 1); exposure feeds the /// broker's slot 0 (slot order is load-bearing — both are f64). // The harness-plus-two-drained-sink-receivers tuple has exactly one call site // (`run_sample`); a named type would be speculative abstraction this cycle. #[allow(clippy::type_complexity)] fn sample_harness() -> ( Harness, Receiver<(Timestamp, Vec)>, Receiver<(Timestamp, Vec)>, ) { let (tx_eq, rx_eq) = mpsc::channel(); let (tx_ex, rx_ex) = mpsc::channel(); let h = Harness::bootstrap( vec![ Box::new(Sma::new(2)), // 0 fast SMA Box::new(Sma::new(4)), // 1 slow SMA Box::new(Sub::new()), // 2 spread Box::new(Exposure::new(0.5)), // 3 exposure Box::new(SimBroker::new(0.0001)), // 4 sim-optimal broker Box::new(Recorder::new(&[ScalarKind::F64], Firing::Any, tx_eq)), // 5 equity sink Box::new(Recorder::new(&[ScalarKind::F64], Firing::Any, tx_ex)), // 6 exposure sink ], vec![SourceSpec { kind: ScalarKind::F64, targets: vec![ Target { node: 0, slot: 0 }, Target { node: 1, slot: 0 }, Target { node: 4, slot: 1 }, // price into the broker's price slot ], }], vec![ Edge { from: 0, to: 2, slot: 0, from_field: 0 }, Edge { from: 1, to: 2, slot: 1, from_field: 0 }, Edge { from: 2, to: 3, slot: 0, from_field: 0 }, Edge { from: 3, to: 4, slot: 0, from_field: 0 }, // exposure into broker slot 0 Edge { from: 4, to: 5, slot: 0, from_field: 0 }, // equity -> sink 5 Edge { from: 3, to: 6, slot: 0, from_field: 0 }, // exposure -> sink 6 ], ) .expect("valid sample signal-quality DAG"); (h, rx_eq, rx_ex) } /// Run the sample harness and fold it into a `RunReport` (drain both sinks → /// `f64_field` → `summarize` → pair with a `RunManifest`). Pure and deterministic /// (C1): the same build yields the same report. fn run_sample() -> RunReport { let (mut h, rx_eq, rx_ex) = sample_harness(); let prices = synthetic_prices(); let window = ( prices.first().expect("non-empty stream").0, prices.last().expect("non-empty stream").0, ); h.run(vec![prices]); let eq_rows: Vec<(Timestamp, Vec)> = rx_eq.try_iter().collect(); let ex_rows: Vec<(Timestamp, Vec)> = rx_ex.try_iter().collect(); let equity = f64_field(&eq_rows, 0); let exposure = f64_field(&ex_rows, 0); let metrics = summarize(&equity, &exposure); RunReport { manifest: RunManifest { commit: option_env!("AURA_COMMIT").unwrap_or("unknown").to_string(), params: vec![ ("sma_fast".to_string(), 2.0), ("sma_slow".to_string(), 4.0), ("exposure_scale".to_string(), 0.5), ], window, seed: 0, broker: "sim-optimal(pip_size=0.0001)".to_string(), }, metrics, } } fn main() { let mut args = std::env::args().skip(1); match args.next().as_deref() { Some("run") => println!("{}", run_sample().to_json()), _ => { eprintln!("aura: usage: aura run"); std::process::exit(2); } } } #[cfg(test)] mod tests { use super::*; #[test] fn run_sample_is_deterministic_and_non_trivial() { let r1 = run_sample(); let r2 = run_sample(); // C1 determinism: two runs are bit-identical (metrics + rendered JSON). assert_eq!(r1.metrics, r2.metrics); assert_eq!(r1.to_json(), r2.to_json()); let m = &r1.metrics; // exactly one exposure sign flip in the demo trace (rises then reverses). assert_eq!(m.exposure_sign_flips, 1); // a non-trivial, populated trace: a real drawdown. assert!(m.max_drawdown > 0.0); // hand-computed magnitudes for the chosen stream (float tolerance; the // computation's dust is ~1e-15). assert!( (m.max_drawdown - 0.17).abs() < 1e-9, "max_drawdown = {}", m.max_drawdown ); assert!( (m.total_pips - (-0.13)).abs() < 1e-9, "total_pips = {}", m.total_pips ); // manifest carries the sample's known configuration. let (from, to) = r1.manifest.window; assert_eq!((from.0, to.0), (1, 7)); assert_eq!(r1.manifest.commit, "unknown"); } }