Taskgraph is a Python library to generate graphs of tasks for the Taskcluster CI service. It is the recommended approach for configuring tasks once your project outgrows a single .taskcluster.yml file and is what powers the over 30,000 tasks and counting that make up Firefox's CI.
For more information and usage instructions, see the docs.
Taskgraph leverages the fact that Taskcluster is a generic task execution platform. This means that tasks can be scheduled via its comprehensive API, and aren't limited to being triggered in response to supported events.
Taskgraph leverages this execution platform to allow CI systems to scale to any size or complexity.
- A decision task is created via Taskcluster's normal .taskcluster.yml
file. This task invokes
taskgraph. - Taskgraph evaluates a series of yaml based task definitions (similar to those other CI offerings provide).
- Taskgraph applies transforms on top of these task definitions. Transforms are Python functions that can programmatically alter or even clone a task definition.
- Taskgraph applies some optional optimization logic to remove unnecessary tasks.
- Taskgraph submits the resulting task graph to Taskcluster via its API.
Taskgraph's combination of declarative task configuration combined with programmatic alteration are what allow it to support CI systems of any scale. Taskgraph is the library that powers the 30,000+ tasks making up Firefox's CI.
Taskgraph supports Python 3.8 and up, and can be installed from Pypi:
pip install taskcluster-taskgraph
Alternatively, the repo can be cloned and installed directly:
git clone https://github.com/taskcluster/taskgraph cd taskgraph python setup.py install
In both cases, it's recommended to use a Python virtual environment.
If you'd like to get involved, please see our contributing docs!