def test_can_convert_to_records_without_objects_returns_false_when_records_have_arrays_in_them(
):
store = PandasStore()
store.to_records = Mock(
return_value=np.rec.array([(1356998400000000000L, ['A', 'BC'])],
dtype=[('index',
'<M8[ns]'), ('values', 'S2',
(2, ))]))
def test_can_convert_to_records_without_objects_returns_false_when_records_have_object_dtype():
store = PandasStore()
store.to_records = Mock(return_value=(np.array(['a', 'b', None, 'd']), None))
with patch('arctic.store._pandas_ndarray_store.log') as mock_log:
assert store.can_convert_to_records_without_objects(sentinel.df, 'my_symbol') is False
mock_log.info.assert_called_once_with('Pandas dataframe my_symbol contains Objects, saving as Blob')
store.to_records.assert_called_once_with(sentinel.df)
def test_can_convert_to_records_without_objects_returns_false_on_exception_in_to_records():
store = PandasStore()
store.to_records = Mock(side_effect=TypeError('uhoh'))
with patch('arctic.store._pandas_ndarray_store.log') as mock_log:
assert store.can_convert_to_records_without_objects(sentinel.df, 'my_symbol') is False
mock_log.info.assert_called_once_with('Pandas dataframe my_symbol caused exception "TypeError(\'uhoh\',)"'
' when attempting to convert to records. Saving as Blob.')
store.to_records.assert_called_once_with(sentinel.df)
def test_can_convert_to_records_without_objects_returns_true_otherwise():
store = PandasStore()
store.to_records = Mock(return_value=(np.rec.array([(1356998400000000000L, 'a')],
dtype=[('index', '<M8[ns]'), ('values', 'S2')]), None))
with patch('arctic.store._pandas_ndarray_store.log') as mock_log:
assert store.can_convert_to_records_without_objects(sentinel.df, 'my_symbol') is True
assert mock_log.info.call_count == 0
store.to_records.assert_called_once_with(sentinel.df)
def test_can_convert_to_records_without_objects_returns_false_when_records_have_arrays_in_them():
store = PandasStore()
store.to_records = Mock(return_value=(np.rec.array([(1356998400000000000L, ['A', 'BC'])],
dtype=[('index', '<M8[ns]'), ('values', 'S2', (2,))]), None))
with patch('arctic.store._pandas_ndarray_store.log') as mock_log:
assert store.can_convert_to_records_without_objects(sentinel.df, 'my_symbol') is False
mock_log.info.assert_called_once_with('Pandas dataframe my_symbol contains >1 dimensional arrays, saving as Blob')
store.to_records.assert_called_once_with(sentinel.df)
def test_can_convert_to_records_without_objects_returns_true_otherwise():
store = PandasStore()
store.to_records = Mock(
return_value=np.rec.array([(1356998400000000000L, 'a')],
dtype=[('index', '<M8[ns]'), ('values',
'S2')]))
def test_can_convert_to_records_without_objects_returns_true_otherwise():
store = PandasStore()
store.to_records = Mock(return_value=np.rec.array([(1356998400000000000L, 'a')],
dtype=[('index', '<M8[ns]'), ('values', 'S2')]))
def test_can_convert_to_records_without_objects_returns_false_when_records_have_arrays_in_them():
store = PandasStore()
store.to_records = Mock(return_value=np.rec.array([(1356998400000000000L, ['A', 'BC'])],
dtype=[('index', '<M8[ns]'), ('values', 'S2', (2,))]))
