Python is_paused_or_idle Examples

Example #1

def resume_workflow(wf_ex, env=None):
    if not states.is_paused_or_idle(wf_ex.state):
        return wf_ex.get_clone()

    wf = workflows.Workflow(wf_ex=wf_ex)

    wf.resume(env=env)

Example #2

def resume_workflow(wf_ex, env=None):
    if not states.is_paused_or_idle(wf_ex.state):
        return wf_ex.get_clone()

    wf = workflows.Workflow(db_api.get_workflow_definition(wf_ex.workflow_id),
                            wf_ex=wf_ex)

    wf.resume(env=env)

Example #3

File: workflow_handler.py Project: PrinceKatiyar/mistral

def resume_workflow(wf_ex, env=None):
    if not states.is_paused_or_idle(wf_ex.state):
        return wf_ex.get_clone()

    wf = workflows.Workflow(
        db_api.get_workflow_definition(wf_ex.workflow_id),
        wf_ex=wf_ex
    )

    wf.resume(env=env)

Example #4

File: workflow_handler.py Project: Regmir/mistral

def resume_workflow(wf_ex, env=None):
    if not states.is_paused_or_idle(wf_ex.state):
        return wf_ex.get_clone()

    # Resume subworkflows first.
    for task_ex in wf_ex.task_executions:
        sub_wf_exs = db_api.get_workflow_executions(
            task_execution_id=task_ex.id)

        for sub_wf_ex in sub_wf_exs:
            if not states.is_completed(sub_wf_ex.state):
                resume_workflow(sub_wf_ex)

    # Resume current workflow here so to trigger continue workflow only
    # after all other subworkflows are placed back in running state.
    wf = workflows.Workflow(wf_ex=wf_ex)
    wf.resume(env=env)

Example #5

File: workflow_handler.py Project: openstack/mistral

def resume_workflow(wf_ex, env=None):
    if not states.is_paused_or_idle(wf_ex.state):
        return wf_ex.get_clone()

    # Resume subworkflows first.
    for task_ex in wf_ex.task_executions:
        sub_wf_exs = db_api.get_workflow_executions(
            task_execution_id=task_ex.id
        )

        for sub_wf_ex in sub_wf_exs:
            if not states.is_completed(sub_wf_ex.state):
                resume_workflow(sub_wf_ex)

    # Resume current workflow here so to trigger continue workflow only
    # after all other subworkflows are placed back in running state.
    wf = workflows.Workflow(wf_ex=wf_ex)
    wf.resume(env=env)