Exemple #1
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def test_input_in_substate() -> None:
    @inputstep("Input Name", assignee=Assignee.SYSTEM)
    def input_action(state: State) -> FormGenerator:
        class SubForm(FormPage):
            a: int

        class TestForm(FormPage):
            sub: SubForm

        user_input = yield TestForm

        return user_input.dict()

    wf = workflow("Workflow with user interaction")(
        lambda: begin >> input_action >> purestep("process inputs")(Success))

    log: List[Tuple[str, Process]] = []
    pid = uuid4()
    p = ProcessStat(pid=pid,
                    workflow=wf,
                    state=Suspend({"sub": {
                        "a": 1,
                        "b": 2
                    }}),
                    log=wf.steps[1:],
                    current_user="******")
    result = runwf(p, logstep=store(log))

    assert_success(result)
    assert_state(result, {"sub": {"a": 1, "b": 2}})
Exemple #2
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def test_focus_state():
    @step("Step that works on substate")
    def substep():
        return {"result": "substep"}

    subwf = focussteps("sub")
    wf = workflow("Workflow with sub workflow that focuses on sub state")(
        lambda: subwf(substep) >> done)

    log = []
    pstat = create_new_process_stat(wf, {"sub": {}})
    result = runwf(pstat, store(log))
    assert_complete(result)
    assert_state(result, {"sub": {"result": "substep"}})

    # Test on empty key
    subwf = focussteps("sub")
    wf = workflow("Workflow with sub workflow that focuses on sub state")(
        lambda: subwf(substep) >> done)

    log = []
    pstat = create_new_process_stat(wf, {})
    result = runwf(pstat, store(log))
    assert_complete(result)
    assert_state(result, {"sub": {"result": "substep"}})
Exemple #3
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def test_exec_through_all_steps():
    log = []

    pstat = create_new_process_stat(sample_workflow, {})
    result = runwf(pstat, store(log))
    assert_success(result)
    assert_state(result, {"steps": [1, 2, 3]})
Exemple #4
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def test_complete():
    wf = workflow("WF")(lambda: init >> done)

    log = []
    pstat = create_new_process_stat(wf, {"name": "completion"})
    result = runwf(pstat, store(log))
    assert_complete(result)
    assert_state(result, {"name": "completion"})
Exemple #5
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def test_abort():
    wf = workflow("Aborting workflow")(lambda: init >> abort)

    log = []

    pstat = create_new_process_stat(wf, {"name": "aborting"})
    result = runwf(pstat, store(log))
    assert_aborted(result)
    assert_state(result, {"name": "aborting"})
Exemple #6
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def test_recover():
    log = []

    p = ProcessStat(
        pid=1,
        workflow=sample_workflow,
        state=Success({"steps": [4]}),
        log=sample_workflow.steps[1:],
        current_user="******",
    )
    result = runwf(p, store(log))
    assert_success(result)
    assert_state(result, {"steps": [4, 2, 3]})
def test_remove_tasks(task):
    result, process, step_log = run_workflow("task_clean_up_tasks", {})
    assert_complete(result)
    res = extract_state(result)
    state = {
        "process_id": res["process_id"],
        "reporter": "john.doe",
        "tasks_removed": 1
    }
    assert_state(result, state)

    processes = ProcessTable.query.all()

    assert len(processes) == 3
    assert sorted(p.workflow for p in processes) == sorted(
        ["nice and new task", "nice process", "task_clean_up_tasks"])
Exemple #8
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def test_resume_workflow(waiting_process):
    with mock.patch("orchestrator.services.processes.resume_process") as m:
        result, process, step_log = run_workflow("task_resume_workflows", {})
        assert_complete(result)
        #
        res = extract_state(result)
        state = {
            "process_id": res["process_id"],
            "reporter": "john.doe",
            "number_of_waiting_processes": 1,
            "number_of_resumed_pids": 1,
            "waiting_pids": [str(PID)],
            "resumed_pids": [str(PID)],
        }
        assert_state(result, state)
        m.assert_called_once()
Exemple #9
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def test_conditionally_skip_a_step():
    @step("Inc N")
    def inc_n(n=0):
        return {"n": n + 1}

    limit_to_10 = conditional(lambda s: s.get("n", 0) < 10)

    incs = [limit_to_10(inc_n) for _ in range(0, 25)]
    wf = workflow("Limit the number of increments")(
        lambda: init >> reduce(lambda acc, e: acc >> e, incs) >> done)

    log = []

    pstat = create_new_process_stat(wf, {})
    result = runwf(pstat, store(log))
    assert_complete(result)
    # from ipdb import set_trace; set_trace()
    assert_state(result, {"n": 10})
    assert len([x for x in log
                if x[1].isskipped()]) == 15, "15 steps should be skipped"