def test_logs_from_workspace_without_logs_returns_emtpy_list(self):
fake_ws = create_test_workspace()
fit = FitInformation(mock.MagicMock(), 'func1', fake_ws.name(),
fake_ws.name())
allowed_logs = fit.log_names()
self.assertEqual(0, len(allowed_logs))
def test_log_names_uses_filter_fn(self):
time_series_logs = (('ts_1', (1., )), ('ts_2', (3., )), ('ts_3', [2.]),
('ts_4', [3.]))
fake1 = create_test_workspace(ws_name='fake1',
time_series_logs=time_series_logs)
fit = FitInformation(mock.MagicMock(), 'func1', fake1.name(),
fake1.name())
log_names = fit.log_names(lambda log: log.name == 'ts_1')
self.assertEqual(1, len(log_names))
self.assertEqual(time_series_logs[0][0], log_names[0])
def test_logs_for_single_workspace_return_all_time_series_logs(self):
time_series_logs = (('ts_1', (1., )), ('ts_2', (3., )))
single_value_logs = (('sv_1', 'val1'), ('sv_2', 'val2'))
fake_ws = create_test_workspace(time_series_logs=time_series_logs)
fit = FitInformation(mock.MagicMock(), 'func1', fake_ws.name(),
fake_ws.name())
log_names = fit.log_names()
for name, _ in time_series_logs:
self.assertTrue(name in log_names,
msg="{} not found in log list".format(name))
for name, _ in single_value_logs:
self.assertFalse(name in log_names,
msg="{} found in log list".format(name))
def test_log_names_from_list_of_workspaces_gives_combined_set(self):
time_series_logs = (('ts_1', (1., )), ('ts_2', (3., )), ('ts_3', [2.]),
('ts_4', [3.]))
fake1 = create_test_workspace(ws_name='fake1',
time_series_logs=time_series_logs[:2])
fake2 = create_test_workspace(ws_name='fake2',
time_series_logs=time_series_logs[2:])
fit = FitInformation(mock.MagicMock(), 'func1',
[fake1.name(), fake2.name()],
[fake1.name(), fake2.name()])
log_names = fit.log_names()
self.assertEqual(len(time_series_logs), len(log_names))
for name, _ in time_series_logs:
self.assertTrue(name in log_names,
msg="{} not found in log list".format(name))