def test_init_forecast(forecast_stub, configuration_data):
    config = Config()
    config.config = configuration_data

    dataset_file = DatasetFile("RetailDemandTNPTS.csv", "some_bucket")
    forecast = config.forecast(dataset_file, "RetailDemandTNPTS")
    dataset_group = config.dataset_group(dataset_file)

    assert (
        forecast._dataset_group.dataset_group_name == dataset_group.dataset_group_name
    )
    assert forecast._forecast_config == config.config_item(dataset_file, "Forecast")
Beispiel #2
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def test_init_predictor(forecast_stub, configuration_data):
    config = Config()
    config.config = configuration_data

    dataset_file = DatasetFile("RetailDemandTNPTS.csv", "some_bucket")
    predictor = config.predictor(dataset_file, "RetailDemandTNPTS")

    predictor.cli = forecast_stub.client

    assert predictor._dataset_file == dataset_file
    for k, v in config.config_item(dataset_file, "Predictor").items():
        if k != "MaxAge":
            assert predictor._predictor_params.get(k) == v