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lifecore_ros2 is a minimal lifecycle composition library for ROS 2 Jazzy — no hidden state machine.

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lifecore_ros2

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lifecore_ros2 is a minimal lifecycle composition library for ROS 2 Jazzy — no hidden state machine.

Installation warning: ROS 2 Jazzy required

lifecore_ros2 requires a working ROS 2 Jazzy Python environment. Install and source ROS 2 before importing this package:

source /opt/ros/jazzy/setup.bash
uv add lifecore-ros2

rclpy comes from the system ROS installation. It is intentionally not declared as a normal PyPI dependency.

Composed pipeline lifecycle walk-through: configure creates topics, activate streams data, deactivate stops data flow while topics remain (deactivate ≠ cleanup), cleanup releases resources.

The examples/composed_pipeline.py walk-through highlights the key distinction the library makes explicit: deactivate ≠ cleanup/pipeline/* topics persist across deactivate and only disappear on cleanup.

Why lifecore_ros2 exists

Audience. This library is for teams building modular ROS 2 nodes that need reusable lifecycle-aware components, especially in larger robotics stacks, embedded systems, or runtime-orchestrated applications.

Problem framing. ROS 2 provides a powerful managed-node lifecycle (configure → active → deactivate → cleanup). In practice, using it for anything beyond a trivial node leads to recurring problems:

  • lifecycle logic gets scattered across monolithic node classes with no clear ownership
  • ROS resource setup and teardown (publishers, subscriptions, timers) are easy to make inconsistent — resources allocated in the wrong place or released too late
  • runtime gating ("only process messages when active") is hand-rolled differently each time, with no shared, tested pattern
  • reusable lifecycle-aware building blocks are awkward in raw rclpy because the lifecycle contract is on the node, not on reusable sub-units

lifecore_ros2 solves these four problems with a small, explicit composition layer. It does not replace or extend the ROS 2 lifecycle state machine — it makes the lifecycle contract expressible at the component level.

Non-goals. It is not a full application framework, not a plugin system, and not a replacement for native ROS 2 lifecycle semantics.

Architecture at a glance

flowchart LR
    Lifecycle[ROS 2 Lifecycle]
    Node[LifecycleComponentNode]
    Components[LifecycleComponent instances]
    Lifecycle <--> Node
    Node <--> Components
    Lifecycle -. drives .-> Components

What the library provides

A small set of lifecycle-aware building blocks:

Symbol Role
LifecycleComponentNode Lifecycle node that owns and drives registered LifecycleComponent instances
LifecycleComponent Base class for a lifecycle-aware managed entity (abstract by convention — override _on_* hooks)
TopicComponent Base class for topic-oriented components (pub/sub)
LifecyclePublisherComponent Lifecycle-gated ROS publisher
LifecycleSubscriberComponent Lifecycle-gated ROS subscriber
LifecycleTimerComponent Lifecycle-gated ROS timer
ServiceComponent Base class for service-oriented components (server/client)
LifecycleServiceServerComponent Lifecycle-gated ROS service server
LifecycleServiceClientComponent Lifecycle-gated ROS service client
when_active Decorator that guards any method to the active state
LifecoreError and subclasses Typed exceptions for boundary violations
lifecore_ros2.testing Reusable fakes, fixtures, assertions, and helpers for lifecycle-focused tests

Design rules and non-goals

The framework stays lifecycle-native, keeps ownership in LifecycleComponentNode, and treats component hooks as explicit extension points rather than hidden orchestration.

When sibling components need deterministic ordering, prefer declaring dependencies and priority at add_component(...) so composition intent stays visible in the node assembly code. examples/composed_ordered_pipeline.py shows this pattern without constructor pass-through on framework components.

See docs/architecture.rst for lifecycle design rules, docs/patterns.rst for usage patterns, and ROADMAP.md for non-goals and deferred scope. See Examples Repository Plan for the companion repository planning. See CHANGELOG.md for shipped changes or the GitHub Releases page for tagged releases.

Prerequisites

  • Python 3.12 or newer
  • ROS 2 Jazzy installed on the system
  • uv available in the workspace

rclpy is expected to come from the system ROS installation. It is intentionally not declared as a normal PyPI dependency.

Quickstart

Clone the repository, source ROS 2 Jazzy, and sync the local development environment:

git clone https://github.com/apajon/lifecore_ros2.git
cd lifecore_ros2
source /opt/ros/jazzy/setup.bash
uv sync --extra dev

Run the smallest composed lifecycle example already in the repository:

uv run python examples/minimal_node.py

From another terminal in the same ROS 2 environment, drive the node through configure and activate:

source /opt/ros/jazzy/setup.bash
ros2 lifecycle set /minimal_lifecore_node configure
ros2 lifecycle set /minimal_lifecore_node activate

For the full walkthrough, see docs/quickstart.rst. For validation and documentation commands, see docs/getting_started.rst. For the activation-gated subscriber example, continue with examples/minimal_subscriber.py or docs/examples.rst.

Lifecycle reading path

The documentation now follows the same lifecycle vocabulary as the framework:

  • Configure: environment, prerequisites, ROS resource creation model
  • Activate: runtime enablement and activation gating
  • Run: examples, API usage, composed execution flow
  • Transition: ownership, propagation, and error handling rules
  • Shutdown: cleanup, release, and lifecycle end-state expectations

Recommended order:

  1. docs/quickstart.rst
  2. docs/getting_started.rst
  3. docs/concepts/mental_model.rst
  4. docs/architecture.rst
  5. docs/patterns.rst
  6. docs/testing.rst
  7. docs/examples.rst

Shortest-path example — subscriber

examples/minimal_subscriber.py is the next runnable example if you want to see activation-gated message delivery after the minimal node quickstart.

See examples/minimal_subscriber.py for the complete runnable file, docs/api_friction_audit.rst for the regression baseline, and docs/examples.rst for the walkthrough.

Component + node definition: 24 lines (regression baseline — see docs/api_friction_audit.rst).

Publisher and subscriber examples

Run the publisher and observe activation gating:

uv run python examples/minimal_publisher.py
# in another terminal:
ros2 lifecycle set /publisher_demo_node configure
ros2 lifecycle set /publisher_demo_node activate
ros2 topic echo /chatter

Messages appear only after activate. Deactivation stops them.

For the subscriber path, use the quickstart above or the full example walkthrough in docs/examples.rst.

Public API overview

All exported symbols and their stability levels are documented in ROADMAP.md.

The extension model and API buckets are defined in docs/architecture.rst and docs/api.rst.

Current limitations

  • package metadata uses Development Status :: 3 - Alpha to reflect API stability, not lack of usability
  • the public API is in the 0.x series — experimental stability level; minor bumps may include breaking changes
  • companion examples live in lifecore_ros2_examples; start with the sensor watchdog lifecycle comparison for the first applied example, then see ROADMAP.md there for future scenarios

License

This project is licensed under the Apache-2.0 License — see LICENSE.

Documentation

Documentation: https://apajon.github.io/lifecore_ros2/

Full documentation lives under docs/ and is built with Sphinx:

uv sync --extra dev --group docs
uv run --group docs python -m sphinx -b html docs docs/_build/html

Key pages:

  • docs/getting_started.rst — setup and validation commands
  • docs/architecture.rst — lifecycle design rules, error policy, member conventions
  • docs/patterns.rst — recommended patterns and anti-patterns
  • docs/testing.rst — reusable lifecycle test fakes, fixtures, assertions, and helpers
  • docs/migration_from_rclpy.rst — before/after comparison with raw rclpy
  • docs/api.rst — generated API reference
  • docs/examples.rst — example walkthroughs

Versioning

Versioning uses Conventional Commits and python-semantic-release. Preview the next version:

uv run --group release semantic-release version --print

Release (version commit + tag, skip hosted release if no token):

uv run --group release semantic-release version --no-vcs-release
git push origin main --follow-tags

See ROADMAP.md for promotion-to-1.0.0 criteria.

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