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import pytest |
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@pytest.fixture |
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def client_pandas_tabular_implementation(): |
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from so_magic.data.interfaces import TabularRetriever, TabularIterator, TabularMutator |
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class TestPDTabularRetrieverDelegate(TabularRetriever): |
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"""The observation object is the same as the one you return from 'from_json_lines'""" |
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@classmethod |
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def column(cls, identifier, data): pass |
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def row(self, identifier, data): pass |
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@classmethod |
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def nb_columns(cls, data): pass |
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@classmethod |
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def nb_rows(cls, data): pass |
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@classmethod |
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def get_numerical_attributes(cls, data): pass |
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class TestPDTabularIteratorDelegate(TabularIterator): |
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"""The observation object is the same as the one your return from 'from_json_lines'""" |
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def columnnames(self, data): pass |
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@classmethod |
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def iterrows(cls, data): pass |
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@classmethod |
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def itercolumns(cls, data): pass |
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class TestPDTabularMutatorDelegate(TabularMutator): |
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@classmethod |
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def add_column(cls, datapoints, values, new_attribute, **kwargs): pass |
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BACKEND = { |
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'backend_id': 'test-pd', |
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'backend_name': 'test-pandas', |
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'interfaces': [ |
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TestPDTabularRetrieverDelegate, |
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TestPDTabularIteratorDelegate, |
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TestPDTabularMutatorDelegate, |
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] |
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} |
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return BACKEND |
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@pytest.fixture |
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def engine_backends(client_pandas_tabular_implementation): |
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CLIENT_BACKENDS = [ |
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client_pandas_tabular_implementation, |
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] |
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from so_magic.data.backend.panda_handling.df_backend import magic_backends |
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backends = magic_backends() |
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backends.add(*CLIENT_BACKENDS) |
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return backends |
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def test_delegate_sanity_check(engine_backends, data_manager): |
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dt_manager = data_manager() |
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# assert that the data engine initial (default) backend is "pandas-backend" |
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# could need to change in the future if we give the client the option to initialize the engine with a backend of their preference |
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assert dt_manager.engine.backend.id == 'pd' |
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for backend_id, _backend_implementation in engine_backends: |
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dt_manager.engine.backend = engine_backends.backends[backend_id] |
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assert dt_manager.engine.backend.id == backend_id |
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