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How to use test_run_workflow method in localstack

Best Python code snippet using localstack_python

test_run_workflow.py

Source:test_run_workflow.py

...14os.environ["MLB_STATSAPI__PREGAME_SFN_ARN"] = SFN % "pregame"15os.environ["MLB_STATSAPI__SCHEDULE_SFN_ARN"] = SFN % "schedule"16os.environ["MLB_STATSAPI__GAME_SFN_ARN"] = SFN % "game"17print("using AWS_PROFILE", os.environ["AWS_PROFILE"])18def test_run_workflow(func: callable) -> callable:19    def run(self, *args, **kwargs):20        workflow = func.__name__.lstrip("test_run_")21        c = self.event["context"]22        self.event = {23            **self.event[workflow],24            "context": c25        }26        return func(self, *args, **kwargs)27    return run28class TestRunWorkflow(LambdaTestCase):29    _queue_name = "mlb-statsapi-workflow-us-west-2"30    @test_run_workflow31    def test_run_mlb_statsapi_etl_schedule(self):32        arns = []...

test_workflow.py

Source:test_workflow.py

...10        base_url = "https://localhost:8080/DEMO-SITE/rest/workflows"11        transport  = uc_client.Transport(credential)12        return uc_client.WorkflowService(transport, base_url)13    14    def test_run_workflow(self):15        print("*** test_run_workflow")16        wf_service = self.get_client()17        with open("integration-tests/files/workflow1.json", 'r') as _f:18            wf = json.load(_f)19        workflow1 = wf_service.new_workflow(wf)20        print("Submitted %s" % workflow1.resource_url)21        print("... waiting for workflow to go into HELD state")22        while not workflow1.is_held():23            sleep(2)24        params = workflow1.properties["parameters"]25        print("... workflow variables: %s" % params)26        params["COUNTER"]="789"27        print("... resuming workflow with params = %s" % params)28        workflow1.resume(params) ...

integration_test.py

Source:integration_test.py

...6import torch7@pytest.fixture8def orchestrator():9    return Orchestrator()10def test_run_workflow(orchestrator, monkeypatch):11    img_num = "3"12    def prepare_model_mock():13        return FashionNet()14    class Prediction():15        def __init__(self):16            self.data = torch.Tensor([[ -3.2093,  -2.1909, -12.9942,  -7.2977, -13.6355, -30.4276,  -3.6275, -4.0288,  -0.2310,  -4.7135]])17    monkeypatch.setattr(FashionNetAdapter, 'prepare_model', prepare_model_mock())18    monkeypatch.setattr(FashionNet, '__call__', lambda _, __: Prediction())19    20    prediction = orchestrator.run(img_num)...

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