Source code for ai_flow.model.status

# Copyright 2022 The AI Flow Authors
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# Licensed under the Apache License, Version 2.0 (the "License");
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#   http://www.apache.org/licenses/LICENSE-2.0
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from enum import Enum


[docs]class WorkflowStatus(str, Enum): """ Enumeration of WorkflowExecution's status. INIT: The initial status of WorkflowExecution. RUNNING: The WorkflowExecution is running. SUCCESS: The WorkflowExecution finished running without errors. FAILED: The WorkflowExecution had errors during execution and failed to run. STOPPED: The WorkflowExecution has been stopped. """ INIT = 'INIT' RUNNING = 'RUNNING' SUCCESS = 'SUCCESS' FAILED = 'FAILED' STOPPED = 'STOPPED'
[docs]class TaskStatus(str, Enum): """ Enumeration of TaskExecution's status. INIT: The initial status of TaskExecution. QUEUED: The TaskExecution has been assigned to an executor. RESTARTING: The TaskExecution was requested to restart when it was running RUNNING: The TaskExecution is running. SUCCESS: The TaskExecution finished running without errors. FAILED: The TaskExecution had errors during execution and failed to run. KILLING: The TaskExecution was externally requested to shut down when it was running. KILLED: The TaskExecution was externally shut down. RETRYING: The TaskExecution failed, but has retry attempts left and will be rescheduled. """ INIT = 'INIT' QUEUED = 'QUEUED' RUNNING = 'RUNNING' SUCCESS = 'SUCCESS' FAILED = 'FAILED' STOPPING = 'STOPPING' STOPPED = 'STOPPED' RETRYING = 'RETRYING'
TASK_FINISHED_SET = frozenset( [ TaskStatus.SUCCESS, TaskStatus.FAILED, TaskStatus.STOPPED, ] ) TASK_ALIVE_SET = frozenset( [ TaskStatus.INIT, TaskStatus.QUEUED, TaskStatus.RETRYING, TaskStatus.RUNNING ] ) WORKFLOW_FINISHED_SET = frozenset( [ WorkflowStatus.SUCCESS, WorkflowStatus.FAILED, WorkflowStatus.STOPPED, ] ) WORKFLOW_ALIVE_SET = frozenset( [ WorkflowStatus.INIT, WorkflowStatus.RUNNING, ] )