[Doc] Results pipeline for the documentation, and a gallery of problems
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@ocots ya está trabajando en esto.
Desde el 4/11/2026.
Evaluación
Este issue todavía no se ha evaluado.
Descripción
Agents: read the guide for agents in #310 first (order, difficulty, how to claim an issue, working method). The specification is in this description and in the comments below.
Goal
Separate the computations shown in the documentation (solving every problem, plots), which are long and may fail, from the documentation build, which must be fast and never fail because of a problem. Jobs compute results and store them; the documentation only reads what exists; each problem page shows the results if they exist and are up to date, says so otherwise. Problem pages are reached through a gallery instead of a list in the sidebar.
Part of #307. Related: #305 (crons write their reports to the same branch), #306 (features for the gallery filters), #134 (visualize), #311 (VitePress).
Storage: a results branch
- An orphan branch
results, rewritten with a single commit on each update so that it does not grow. Not a tracked directory inmain(regenerated SVGs would bloat the history). - Shared with the crons of #305 (no separate
cron-reportsbranch). - Locally: a git-ignored directory (e.g.
docs/results/) filled by a script, so the documentation also builds offline and in previews.
results/ # branch `results`
├── manifest.json # date, commit, list of runs
├── env/<run id>/ # environment of each computation run
│ ├── Project.toml, Manifest.toml
│ ├── versioninfo.txt # output of versioninfo()
│ └── status.txt, status-manifest.txt # Pkg.status(), Pkg.status(mode=PKGMODE_MANIFEST)
├── problems/<problem>/
│ ├── result.json # per modeling and configuration: objective, iterations, times, status; fingerprint; run id
│ ├── state.svg, control.svg, costate.svg
│ ├── visualize.svg # if the problem has a visualisation (#134)
│ └── thumbnail.svg # for the gallery
└── cron/ # reports of the crons (#305)
Robustness
-
One writer. Computation jobs run in parallel, one per problem, and only upload workflow artifacts; a final job collects them and makes the single commit. No concurrent writes; a failing problem does not prevent the others from being published.
-
Freshness. Each
result.jsonrecords a fingerprint: a hash of the problem files (metadata, model files of every modeling, description) and the versions of the packages used. At build time the documentation recomputes the fingerprint and shows, per problem:- up to date: the results;
- stale: the results, marked "computed for commit X";
- missing: "results not computed yet".
The build never fails on missing or stale results.
-
Triggers of the computations: a push to
mainthat changes a problem (only problems whose fingerprint changed), weekly (with the crons of #305, staggered),workflow_dispatch(all problems or a list). The documentation workflow never triggers or waits for them. -
VitePress: copy the results into
docs/src/public/results/beforemakedocs(VitePress silently drops files it does not recognise outsidepublic/, see the notes on the VitePress backend in ct-conventionsrules/site.md).
Problem pages
Generated, never hand-written (docs/problems.jl today):
- description (
ext/Descriptions/<p>.md), parameters, features (#306), status per modeling (#303), references; - how to get and solve it in each modeling where it exists (short code, not executed beyond trivial calls);
- results from
result.json, with the freshness badge; plots as SVG (ruleSITE12),visualize.svgwhen it exists; - Reproducibility block, same presentation as the OptimalControl.jl documentation (
docs/src/index.md, section "Reproducibility"): a table to downloadProject.tomlandManifest.tomlof the run that produced the results, and a collapsible::: detailsblock withversioninfo,Pkg.status()and the full dependency tree, read fromenv/<run id>/(they cannot be executed at build time, since the results come from another environment).
No heavy computation at documentation build time: the only code executed by the build is short (tutorials, trivial calls).
Gallery
Replaces the list of problems in the sidebar, since the collection will grow quickly:
- one card per problem: thumbnail (
thumbnail.svg, or the visualisation), name, modelings and statuses, tags; - filters by modeling, status, tag and features (dimensions, free final time, constraints);
- a Vue component (see
docs/src/components/in CTBase.jl), with the existing interactive table (docs/browser.jl) as a second view of the same page, or replaced by it.
Done when
- Workflow computing results per problem in parallel, single collector, branch
resultsrewritten with one commit;env/<run id>/saved for each run. - Fingerprint computed identically by the jobs and by the documentation build; up to date / stale / missing shown on the pages, shown on purpose for each case.
- Local script filling
docs/results/; documentation builds with no results at all. - Problem pages generated with results, plots, visualisation and Reproducibility block.
- Gallery page with filters; problems removed from the sidebar list.
- Documentation build time reported before and after.
- Lenguaje dominante
- Julia
- Estrellas
- 13
- Forks
- 1
- Merge medio
- 3 h 20 min
- PR fusionados (30 d)
- 27
Preparar el entorno
- Sin Dockerfile ni archivo de Docker Compose
- Sin plantilla de pull request
- Leer la guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
Más de control-toolbox/OptimalControlProblems.jl
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[Metadata] Declared fields: tags, references, Corleone, reference solutionPosiblemente ocupada @ocots la tomó hoy. Abierto
control-toolbox/OptimalControlProblems.jl#379 · 1 asignado ·
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[Cron] Robustness of the initial guess and known local objectivesPosiblemente ocupada @ocots la tomó hoy. Abierto
control-toolbox/OptimalControlProblems.jl#378 · 1 asignado ·
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[Metadata] Shared initial guess in the metadata, read by every modelingPosiblemente ocupada @ocots la tomó hoy. Abierto
control-toolbox/OptimalControlProblems.jl#377 · 1 asignado ·
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[Metadata] Compute the features of a problem from its modelPosiblemente ocupada @ocots la tomó hoy. Abierto
control-toolbox/OptimalControlProblems.jl#376 · 1 asignado ·
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[Metadata] Reference objectives per scheme, computed by a scriptPosiblemente ocupada @ocots la tomó hoy. Abierto
control-toolbox/OptimalControlProblems.jl#375 · 1 comentario · 1 asignado ·
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Todos los issues de control-toolbox/OptimalControlProblems.jl
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