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from ray.util.annotations import PublicAPI
from ray.workflow.common import TaskID
@PublicAPI(stability="alpha")
class WorkflowError(Exception):
"""Workflow error base class."""
@PublicAPI(stability="alpha")
class WorkflowExecutionError(WorkflowError):
def __init__(self, workflow_id: str):
self.message = f"Workflow[id={workflow_id}] failed during execution."
super().__init__(self.message)
@PublicAPI(stability="alpha")
class WorkflowCancellationError(WorkflowError):
def __init__(self, workflow_id: str):
self.message = f"Workflow[id={workflow_id}] is cancelled during execution."
super().__init__(self.message)
@PublicAPI(stability="alpha")
class WorkflowNotResumableError(WorkflowError):
"""Raise the exception when we cannot resume from a workflow."""
def __init__(self, workflow_id: str):
self.message = f"Workflow[id={workflow_id}] is not resumable."
super().__init__(self.message)
@PublicAPI(stability="alpha")
class WorkflowTaskNotRecoverableError(WorkflowNotResumableError):
"""Raise the exception when we find a workflow task cannot be recovered
using the checkpointed inputs."""
def __init__(self, task_id: TaskID):
self.message = f"Workflow task[id={task_id}] is not recoverable"
super(WorkflowError, self).__init__(self.message)
@PublicAPI(stability="alpha")
class WorkflowNotFoundError(WorkflowError):
def __init__(self, workflow_id: str):
self.message = f"Workflow[id={workflow_id}] was referenced but doesn't exist."
super().__init__(self.message)
@PublicAPI(stability="alpha")
class WorkflowStillActiveError(WorkflowError):
def __init__(self, operation: str, workflow_id: str):
self.message = (
f"{operation} couldn't be completed because "
f"Workflow[id={workflow_id}] is still running or pending."
)
super().__init__(self.message)
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