Brummel
15ee6d5f4f
Iteration 2 (serve half) of the visual face — spec 0056 / plan 0056:
read a persisted run's traces and serve them as a self-contained uPlot
HTML chart. Completes the goal "tap data from a graph, serve it as a
chart in the browser".
- chart-viewer.js (first-party): a pure buildCharts(traces, mode) that
maps the injected window.AURA_TRACES to uPlot configs (no DOM) — overlay
= one plot, every series on its own y-scale over the shared xs; panels =
one plot per series, all on the same timestamp x. A browser-only mount()
instantiates the vendored global uPlot. Guarded by a node .mjs DOM test
(+ a sparse/gaps variant) shelling out exactly like viewer_dot.rs.
- render_chart_html + ChartMode/ChartData/Series (aura-cli/render.rs):
mirrors render_html — self-contained page, uPlot (1.6.32, vendored
d534f10) + chart-viewer.js inlined via include_str!, data injected as
window.AURA_TRACES.
- emit_chart + build_chart_data (aura-cli/main.rs): the spec-§6 3-step
union-spine alignment — xs = sorted-dedup union of every tap's ts; a
synthetic empty-payload spine + ALL taps as symmetric join_on_ts sides
(no tap privileged, no point dropped); flatten each (tap,column) to a
Series of Option<f64>. New arms `aura chart <name> [--panels]`; a
missing run is stderr + exit 2 (TraceStoreError::NotFound), never a
panic. USAGE advertises the verb in lockstep.
Verified by the orchestrator: `cargo test --workspace` green (incl. the
node guards, render_chart_html, and the chart e2e); `cargo clippy
--workspace --all-targets -D warnings` exit 0; and a real end-to-end —
`aura run --trace demo && aura chart demo` emits a 57KB self-contained
page (doctype + inlined uPlot + AURA_TRACES carrying the equity/exposure
series), `--panels` reflects the panels mode, `aura chart nope` exits 2.
Implementer deviation folded in (compiler-prescribed): serde added to
aura-cli/Cargo.toml for the Series derive (Cargo.lock updated).
refs #101
11 lines
387 B
JSON
11 lines
387 B
JSON
{
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"mode": "overlay",
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"manifest": { "commit": "test", "params": [], "window": [1, 4], "seed": 0, "broker": "sim-optimal(pip_size=0.0001)" },
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"taps": ["equity", "exposure"],
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"xs": [1, 2, 3, 4],
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"series": [
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{ "name": "equity", "y_scale_id": "y_0", "points": [0.0, 0.001, null, 0.004] },
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{ "name": "exposure", "y_scale_id": "y_1", "points": [1.0, null, null, -1.0] }
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]
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}
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