def update_workflow_step_context(context: Optional[WorkflowStepContext],
step_id: str):
global _context
_context = context
_context.workflow_scope.append(step_id)
# avoid cyclic import
from ray.workflow import storage
# TODO(suquark): [optimization] if the original storage has the same URL,
# skip creating the new one
storage.set_global_storage(storage.create_storage(context.storage_url))
def init(storage: "Optional[Union[str, Storage]]" = None) -> None:
"""Initialize workflow.
Args:
storage: The external storage URL or a custom storage class. If not
specified, ``/tmp/ray/workflow_data`` will be used.
"""
if storage is None:
storage = os.environ.get("RAY_WORKFLOW_STORAGE")
if storage is None:
# We should use get_temp_dir_path, but for ray client, we don't
# have this one. We need a flag to tell whether it's a client
# or a driver to use the right dir.
# For now, just use /tmp/ray/workflow_data
storage = "file:///tmp/ray/workflow_data"
if isinstance(storage, str):
logger.info(f"Using storage: {storage}")
storage = storage_base.create_storage(storage)
elif not isinstance(storage, Storage):
raise TypeError("'storage' should be None, str, or Storage type.")
try:
_storage = storage_base.get_global_storage()
except RuntimeError:
pass
else:
# we have to use the 'else' branch because we would raise a
# runtime error, but we do not want to be captured by 'except'
if _storage.storage_url == storage.storage_url:
logger.warning("Calling 'workflow.init()' again with the same "
"storage.")
else:
raise RuntimeError("Calling 'workflow.init()' again with a "
"different storage")
storage_base.set_global_storage(storage)
workflow_access.init_management_actor()
serialization.init_manager()
def _alter_storage(new_storage):
set_global_storage(new_storage)
# alter the storage
ray.shutdown()
os.system("ray stop --force")
workflow.init(new_storage)
