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Aura/crates/aura-engine/tests/rsi_from_blueprint_data.rs
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claude b39fd63396 refactor: split the aura-std roster into C28 layer crates
Phase 4 of the Stratification milestone. aura-std held four C28 ladder
layers in one roster; this cuts them into layer-aligned, aura-core-only
node crates so the import direction is enforced by the crate graph:

- aura-std        — engine nodes only (arithmetic/logic/rolling + sinks)
- aura-market     — session, resample
- aura-strategy   — bias, stops, sizer, cost-model machinery
- aura-backtest   — sim_broker, position_management
- aura-vocabulary — the relocated closed std_vocabulary roster

Node modules move verbatim (byte-identical renames); consumers are
rewired by import path only. A new structural test
(aura-vocabulary/tests/c28_layering.rs) asserts each node crate's
[dependencies] stay within its C28-permitted inner set, catching the
acyclic-but-outward violation the compiler misses.

Behaviour byte-identical: full workspace suite green (1448 tests), no
golden edited, clippy -D warnings clean. C28 Status block updated.

closes #288
2026-07-19 20:28:20 +02:00

125 lines
6.0 KiB
Rust

//! Acceptance proof for issue #236: an **RSI-class** signal — the classic
//! gain/loss split of the price change and the smoothed **ratio** of average gain
//! to average loss — composes *purely from blueprint data* through the injected
//! `aura_vocabulary::std_vocabulary` and runs to hand-computable RS values. This is the
//! property that pins the four std-vocabulary gaps the issue names as a single
//! honest behaviour: `Div`, a `Const` source, `Abs`, and pairwise `Max`/`Min`.
//!
//! The composition is authored as a JSON document (never as Rust node identifiers),
//! so the file compiles regardless of whether the new node types exist yet: it is
//! RED because `std_vocabulary` does not resolve the new type ids (the public loader
//! returns `LoadError::UnknownNodeType("Const")` for the first absent one), and GREEN
//! only once all five are rostered AND behave correctly. It exercises the same public
//! seam a World / project `cdylib` uses (`blueprint_from_json` + an injected
//! vocabulary — C24), mirroring `blueprint_serde_e2e.rs`; the recording sink is added
//! in Rust because a sink is deliberately outside the #155 std vocabulary.
//!
//! Contract the GREEN implementation must satisfy (the type ids a blueprint writes
//! and the one new param name — bound params re-apply by name on load):
//! - type ids: `"Const"`, `"Div"`, `"Abs"`, `"Max"`, `"Min"`
//! - `Const` is unary (one clock input, value ignored) with an f64 param `"value"`
//! - `Max`/`Min`/`Div` are binary (slots 0,1); `Abs` is unary (slot 0)
use std::sync::mpsc;
use aura_core::{Firing, Scalar, ScalarKind, Timestamp};
use aura_engine::{blueprint_from_json, BlueprintNode, Composite, Edge, Role, Target, VecSource};
use aura_std::Recorder;
use aura_vocabulary::std_vocabulary;
// The RSI-class signal as blueprint data. Raw price fans out to a zero `Const`
// (its clock is the price role), a `Delay[1]`, and a `Sub`; `delta = price - prev`
// splits into `gain = Max(delta, 0)` and `loss = Abs(Min(delta, 0))`; each is
// smoothed by `SMA(2)`; `rs = Div(avg_gain, avg_loss)` is the single output. All
// params are bound, so the blueprint has an empty open-param space. The recording
// sink is NOT here (sinks are outside the std vocabulary — added in Rust below).
//
// Node indices: 0 Const · 1 Delay · 2 Sub · 3 Max · 4 Min · 5 Abs ·
// 6 SMA(avg_gain) · 7 SMA(avg_loss) · 8 Div.
const RSI_BLUEPRINT_JSON: &str = r#"{
"format_version": 1,
"blueprint": {
"name": "rsi_signal",
"nodes": [
{"primitive":{"type":"Const","bound":[{"pos":0,"name":"value","kind":"F64","value":{"F64":0.0}}]}},
{"primitive":{"type":"Delay","bound":[{"pos":0,"name":"lag","kind":"I64","value":{"I64":1}}]}},
{"primitive":{"type":"Sub"}},
{"primitive":{"type":"Max"}},
{"primitive":{"type":"Min"}},
{"primitive":{"type":"Abs"}},
{"primitive":{"type":"SMA","name":"avg_gain","bound":[{"pos":0,"name":"length","kind":"I64","value":{"I64":2}}]}},
{"primitive":{"type":"SMA","name":"avg_loss","bound":[{"pos":0,"name":"length","kind":"I64","value":{"I64":2}}]}},
{"primitive":{"type":"Div"}}
],
"edges": [
{"from":1,"to":2,"slot":1,"from_field":0},
{"from":2,"to":3,"slot":0,"from_field":0},
{"from":0,"to":3,"slot":1,"from_field":0},
{"from":2,"to":4,"slot":0,"from_field":0},
{"from":0,"to":4,"slot":1,"from_field":0},
{"from":4,"to":5,"slot":0,"from_field":0},
{"from":3,"to":6,"slot":0,"from_field":0},
{"from":5,"to":7,"slot":0,"from_field":0},
{"from":6,"to":8,"slot":0,"from_field":0},
{"from":7,"to":8,"slot":1,"from_field":0}
],
"input_roles": [
{"name":"price","targets":[{"node":0,"slot":0},{"node":1,"slot":0},{"node":2,"slot":0}]}
],
"output": [{"node":8,"field":0,"name":"rs"}]
}
}"#;
// Nest the loaded RSI signal under a Rust-built root that records its single `rs`
// output, feed the price fixture through the public `VecSource`, and collect the
// recorded `(ts, [rs])` trace — the only observable behaviour asserted on.
fn run_recording(signal: Composite, prices: Vec<(Timestamp, Scalar)>) -> Vec<(Timestamp, Vec<Scalar>)> {
let (tx, rx) = mpsc::channel();
let root = Composite::new(
"h",
vec![
BlueprintNode::Composite(signal),
Recorder::builder(vec![ScalarKind::F64], Firing::Any, tx).into(),
],
vec![Edge { from: 0, to: 1, slot: 0, from_field: 0 }], // rs -> recorder col[0]
vec![Role {
name: "src".into(),
targets: vec![Target { node: 0, slot: 0 }], // price -> nested signal's price role
source: Some(ScalarKind::F64),
}],
vec![],
);
let mut h = root.bootstrap_with_params(vec![]).expect("bootstraps (no open params)");
h.run(vec![Box::new(VecSource::new(prices))]);
rx.try_iter().collect()
}
/// The RSI-class gain/loss-split-and-ratio composes from blueprint data through the
/// std vocabulary and runs to the hand-computed RS sequence. Prices `[10,12,11,14]`
/// give deltas `[+2,-1,+3]`, so gains `[2,0,3]` and losses `[0,1,0]`; SMA(2) of each
/// warms up on the first delta and then yields RS = avg_gain/avg_loss = 1.0/0.5 = 2.0
/// at t3 and 1.5/0.5 = 3.0 at t4. Every new operator is load-bearing to these two
/// numbers: `Max` picks the positive part, `Min`+`Abs` the loss magnitude, `Const`
/// the zero threshold, `Div` the ratio.
#[test]
fn rsi_composes_from_blueprint_data_and_yields_hand_computed_rs() {
let signal =
blueprint_from_json(RSI_BLUEPRINT_JSON, &|t| std_vocabulary(t)).expect("loads through the std vocabulary");
let prices: Vec<(Timestamp, Scalar)> = [(1_i64, 10.0_f64), (2, 12.0), (3, 11.0), (4, 14.0)]
.iter()
.map(|&(t, p)| (Timestamp(t), Scalar::f64(p)))
.collect();
let trace = run_recording(signal, prices);
assert_eq!(
trace,
vec![
(Timestamp(3), vec![Scalar::f64(2.0)]),
(Timestamp(4), vec![Scalar::f64(3.0)]),
],
"RSI gain/loss-split-and-ratio must emit RS = 2.0 at t3 and 3.0 at t4; got {trace:?}",
);
}