def _assert_datasource_correctness_using_datafiles(engine, reference, symbol, start, end, test_data_filepath_fn):
logger = utils.DatasourceLogger()
original_registrations = {}
for dependency_reference in engine._registrations[reference]['dependencies']:
mock_data_file = test_data_filepath_fn(dependency_reference, symbol)
if not os.path.isfile(mock_data_file):
continue
datasource_mock_cls = _create_mock_datasource(dependency_reference, mock_data_file, logger)
if not engine._registrations.get(dependency_reference):
engine._registrations[dependency_reference] = {}
original_registrations[dependency_reference] = engine._registrations[dependency_reference]
registration_mock = copy.deepcopy(engine._registrations[dependency_reference])
registration_mock['class'] = datasource_mock_cls
registration_mock['dependencies'] = set()
engine._registrations[dependency_reference] = registration_mock
expected_data_file = test_data_filepath_fn(reference, symbol)
actual = engine.get(reference).process(symbol, start, end)
expected = utils.slice(pandas.DataFrame.from_csv(expected_data_file), start, end)
logger.log('actual', actual)
logger.log('expected', expected)
try:
_assert_dataframe_almost_equal(expected, actual)
except Exception, e:
logger.print_summary()
raise e
def _assert_datasource_correctness_using_datafiles(engine, reference, symbol,
start, end,
test_data_filepath_fn):
logger = utils.DatasourceLogger()
original_registrations = {}
for dependency_reference in engine._registrations[reference][
'dependencies']:
mock_data_file = test_data_filepath_fn(dependency_reference, symbol)
if not os.path.isfile(mock_data_file):
continue
datasource_mock_cls = _create_mock_datasource(dependency_reference,
mock_data_file, logger)
if not engine._registrations.get(dependency_reference):
engine._registrations[dependency_reference] = {}
original_registrations[dependency_reference] = engine._registrations[
dependency_reference]
registration_mock = copy.deepcopy(
engine._registrations[dependency_reference])
registration_mock['class'] = datasource_mock_cls
registration_mock['dependencies'] = set()
engine._registrations[dependency_reference] = registration_mock
expected_data_file = test_data_filepath_fn(reference, symbol)
actual = engine.get(reference).process(symbol, start, end)
expected = utils.slice(pandas.DataFrame.from_csv(expected_data_file),
start, end)
logger.log('actual', actual)
logger.log('expected', expected)
try:
_assert_dataframe_almost_equal(expected, actual)
except Exception, e:
logger.print_summary()
raise e
def process(self, symbol, start=None, end=None):
context = self._create_context_for(symbol, start, end)
result = self._instance.evaluate(context, symbol, start, end)
return utils.slice(result, start, end)
def test_slice_given_nothing(self):
data = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
result = utils.slice(data)
assert result == data
def test_slice_given_end(self):
data = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
result = utils.slice(data, end=8)
assert result == data[:8]
def test_slice_given_start(self):
data = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
result = utils.slice(data, 2)
assert result == data[2:]
def evaluate(self, context, symbol, start=None, end=None):
data = pandas.DataFrame.from_csv(mock_data_file)
sliced_data = utils.slice(data, start, end)
logger.log(os.path.basename(mock_data_file), sliced_data)
return sliced_data
def process(self, symbol, start=None, end=None):
context = self._create_context_for(symbol, start, end)
result = self._instance.evaluate(context, symbol, start, end)
return utils.slice(result, start, end)
def evaluate(self, context, symbol, start=None, end=None):
data = pandas.DataFrame.from_csv(mock_data_file)
sliced_data = utils.slice(data, start, end)
logger.log(os.path.basename(mock_data_file), sliced_data)
return sliced_data
