Client.runner - Tilebox Docs

from tilebox.workflows import Client
from tilebox.workflows.cache import LocalFileSystemCache

client = Client()
runner = client.runner(
    tasks=[MyFirstTask, MySubtask],
    # optional:
    cache=LocalFileSystemCache("cache_directory"),
)

from tilebox.workflows import Client
from tilebox.workflows.cache import LocalFileSystemCache

client = Client()
runner = client.runner(
    tasks=[MyFirstTask, MySubtask],
    # optional:
    cache=LocalFileSystemCache("cache_directory"),
)

def Client.runner(
    cluster: ClusterSlugLike | None = None,
    tasks: list[type[Task]] | None = None,
    cache: JobCache | None = None,
    context: type[RunnerContext] | None = None,
    runner: Runner | None = None,
) -> TaskRunner

Initialize a direct runner from task classes. For new Python workflow projects, define a reusable Runner object and call Runner.connect_to when you want direct execution. The Client.runner method remains available for existing code and simple direct runner scripts.

Parameters

str | None

The cluster slug for the cluster associated with this direct runner. If not provided, the default cluster is used.

list[type[Task]] | None

A list of task classes that this runner can execute. Pass either tasks, cache, and context, or pass a reusable runner object.

JobCache

An optional job cache for caching results from tasks and sharing data between tasks.

type[RunnerContext] | None

Optional runner context class to instantiate for task execution.

Runner | None

A reusable runner definition. If provided, do not also pass tasks, cache, or context.

from tilebox.workflows import Client
from tilebox.workflows.cache import LocalFileSystemCache

client = Client()
runner = client.runner(
    tasks=[MyFirstTask, MySubtask],
    # optional:
    cache=LocalFileSystemCache("cache_directory"),
)

​Parameters

Parameters