Repository: quantopian/zipline
File: tests/pipeline/test_pipeline_algo.py (Python)

Code before:
                start_session=self.dates[0],
                end_session=current_day,
                data_frequency='daily',
                emission_rate='daily',
                trading_calendar=self.trading_calendar,
            )
        )

        self.assertTrue(count[0] > 0)


class PipelineSequenceTestCase(
    WithSeededRandomPipelineEngine,
    WithMakeAlgo,
    ZiplineTestCase,
):

    @classmethod
    def init_class_fixtures(cls):
        super(PipelineSequenceTestCase, cls).init_class_fixtures()

    def make_algo_kwargs(self, **overrides):
        return self.merge_with_inherited_algo_kwargs(
            PipelineSequenceTestCase,
            suite_overrides=dict(
                get_pipeline_loader=lambda column: self.seeded_random_loader,
            ),
            method_overrides=overrides,
        )

    def test_pipeline_compute_before_bts(self):

        # for storing and keeping track of calls to BTS and TestFactor.compute
        history = []
        counter = [0]

        class TestFactor(CustomFactor, SingleInputMixin):

            inputs = [TestingDataSet.float_col]

            def compute(self, today, assets, out, inputs):
                history.append(
                    "CustomFactor call"
                )

        def initialize(context):
            pipeline = attach_pipeline(Pipeline(), 'my_pipeline')
            test_factor = TestFactor(window_length=30)
            pipeline.add(test_factor, 'test_factor')

        def handle_data(context, data):

Review comment (suggestion):
If you remove the dependency on `WithSeededRandomPipelineEngine`, you can replace this with a function that just raises an AssertionError if it's called (if you run a pipeline that has no inputs, then it will never be called).

Code after:
                emission_rate='daily',
                trading_calendar=self.trading_calendar,
            )
        )

        self.assertTrue(count[0] > 0)


class PipelineSequenceTestCase(WithMakeAlgo, ZiplineTestCase):

    def make_algo_kwargs(self, **overrides):
        # run the algorithm for 3 days
        self.START_DATE = pd.Timestamp('2015-07-13', tz='utc')
        self.END_DATE = pd.Timestamp('2015-07-15', tz='utc')
        return self.merge_with_inherited_algo_kwargs(
            PipelineSequenceTestCase,
            suite_overrides=dict(
                get_pipeline_loader=lambda column: self.fake_pipeline,
            ),
            method_overrides=overrides,
        )

    def fake_pipeline(self):
        raise AssertionError

    def test_pipeline_compute_before_bts(self):

        # for storing and keeping track of calls to BTS and TestFactor.compute
        trace = []

        class TestFactor(CustomFactor):
            inputs = ()

            # window_length doesn't actually matter for this test case
            window_length = 1

            def compute(self, today, assets, out):
                trace.append("CustomFactor call")

        def initialize(context):
            pipeline = attach_pipeline(Pipeline(), 'my_pipeline')
            test_factor = TestFactor()
            pipeline.add(test_factor, 'test_factor')

        def before_trading_start(context, data):
            trace.append("BTS call")
            pipeline_output('my_pipeline')

        self.run_algorithm(
            initialize=initialize,
            before_trading_start=before_trading_start,