Rust Implementation of Apache Burr
- Langage dominant
- Python
- Étoiles
- 2.5k
- Forks
- 195
- Merge moyen
- 6 j 10 h
- PR mergées (30 j)
- 17
Description
**Is your feature request related to a problem? Please describe.**
I’d like to use Burr’s state-machine / action-graph approach in environments where Rust is the primary deployment/runtime (e.g., Rust microservices, single-binary distribution, memory-safety requirements, low-latency workloads, WASM targets, etc.).
Currently this means either running Burr as a separate Python service, embedding Python, or re-implementing similar functionality ad-hoc, each of which adds operational complexity and makes it harder to standardize on Burr as a core orchestration primitive across a Rust-heavy stack.
**Describe the solution you'd like**
I’d like to propose (and happily help implement) an officially supported or officially endorsed Rust implementation of Burr with the goal of full functional parity with the existing Python implementation, including:
* **Core runtime parity:** actions, transitions, state semantics, sync/async execution, parallelism features, hooks, typing system behavior, etc.
* **Persistence & tracking parity:** same data model and on-disk formats where applicable, so recorded runs are comparable/portable.
* **Telemetry/observability parity:** compatible tracing/metrics behavior (and the same conceptual execution events).
* **Tracking server + UI parity:** ideally, the existing UI can be used unchanged by matching the server API contract.
* **CLI parity:** equivalent commands/subcommands and behavior, or a clearly documented mapping.
Proposed Implementation approach:
* Define the spec as golden/characterization tests derived from the reference implementation (recorded runs + normalized outputs).
* Develop the test suite with a complete Rust project skeleton first.
* Develop subsystem-by-subsystem until all goldens pass and expanding coverage until parity is reached.
Questions for maintainers:
* Would this be welcome as an official multi-language implementation or preferred as a community project first?
* If official, should it live in this repo (subdir/workspace) or in a separate repo?
**Describe alternatives you've considered**
* **Rust wrapper around Python Burr** (PyO3 / embedding Python) to reuse existing behavior but with Rust entry-points.
* **Running Burr as a separate Python service** and integrating over HTTP/IPC from Rust (keeps Burr unchanged, but adds runtime/ops overhead).
* **Partial Rust port** (core runtime only) while keeping the existing tracking server/UI and/or persistence layer in Python.
* **Implementing only server/API compatibility** in Rust while leaving runtime execution to Python (or vice versa).
* Using other Rust state-machine/workflow crates instead of Burr (but that forfeits Burr’s model, tooling, and existing ecosystem).
Guide de contribution
Ouvrir le guide de contribution
Piste de recherche
Commencez par examiner l’implémentation Python existante et par définir les golden/characterization tests proposées autour d’exécutions enregistrées et de sorties normalisées. Construisez le squelette du projet Rust mentionné, puis évaluez chaque sous-système—runtime, persistence, telemetry, server/UI API et CLI—par rapport à l’objectif de parité indiqué ; le travail est terminé lorsque les goldens convenus passent et que la portée du projet ainsi que son emplacement dans le dépôt sont décidés.
Rédigé par le modèle d'indexation à partir du texte de l'issue.
Évaluation
- Stack technique
- python, rust, wasm
- Domaine
- api, backend, observability
- Type d'issue
- Fonctionnalité
- Difficulté
- 5/5
- Temps estimé
- Plus d'une semaine
- Activité
- À l'abandon
- Clarté
- À clarifier
- Accessibilité débutants
- 25/100