From e247f43bf9bc31164948760694ff796bb469ae4c Mon Sep 17 00:00:00 2001 From: BonfaceKilz Date: Mon, 28 Sep 2020 02:25:58 +0300 Subject: Update trait tests * wqflask/tests/base/test_trait.py (test_retrieve_trait_info_with_non_empty_lrs): Check trait.LRS_score_repr is set correctly if trait.lrs is None. (test_retrieve_trait_info_with_empty_lrs_field): Check trait.LRS_score_repr and test_trait.LRS_location_repr is set correctly if trait.lrs is None. (test_retrieve_trait_info_with_empty_chr_field): Check test_trait.LRS_score_repr and test_trait.LRS_location_repr is set correctly if trait.locus is None. --- wqflask/tests/base/test_trait.py | 134 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 134 insertions(+) diff --git a/wqflask/tests/base/test_trait.py b/wqflask/tests/base/test_trait.py index 960f2c81..1a3820f2 100644 --- a/wqflask/tests/base/test_trait.py +++ b/wqflask/tests/base/test_trait.py @@ -99,3 +99,137 @@ class TestRetrieveTraitInfo(unittest.TestCase): "ファイルを画面毎に見て行くには、次のコマンドを使います。".decode('utf-8')) self.assertEqual(test_trait.authors, "Jane Doe かいと".decode('utf-8')) + + @mock.patch('base.trait.requests.get') + @mock.patch('base.trait.g') + @mock.patch('base.trait.get_resource_id') + def test_retrieve_trait_info_with_non_empty_lrs(self, + resource_id_mock, + g_mock, + requests_mock): + """Test """ + resource_id_mock.return_value = 1 + g_mock.db.execute.return_value.fetchone = mock.Mock() + g_mock.db.execute.return_value.fetchone.side_effect = [ + [1, 2, 3, 4], # trait_info = g.db.execute(query).fetchone() + [1, 2.37, 3, 4, 5], # trait_qtl = g.db.execute(query).fetchone() + [2.7333, 2.1204] # trait_info = g.db.execute(query).fetchone() + ] + requests_mock.return_value = None + + mock_dataset = mock.MagicMock() + type(mock_dataset).display_fields = mock.PropertyMock( + return_value=["a", "b", "c", "d"]) + type(mock_dataset).type = "ProbeSet" + type(mock_dataset).name = "RandomName" + + mock_trait = MockTrait( + dataset=mock_dataset, + pre_publication_description="test_string" + ) + trait_attrs = { + "description": "some description", + "probe_target_description": "some description", + "cellid": False, + "chr": 2.733, + "mb": 2.1204 + } + + for key, val in list(trait_attrs.items()): + setattr(mock_trait, key, val) + test_trait = retrieve_trait_info(trait=mock_trait, + dataset=mock_dataset, + get_qtl_info=True) + self.assertEqual(test_trait.LRS_score_repr, + "2.4") + + @mock.patch('base.trait.requests.get') + @mock.patch('base.trait.g') + @mock.patch('base.trait.get_resource_id') + def test_retrieve_trait_info_with_empty_lrs_field(self, + resource_id_mock, + g_mock, + requests_mock): + """Test retrieve trait info with empty lrs field""" + resource_id_mock.return_value = 1 + g_mock.db.execute.return_value.fetchone = mock.Mock() + g_mock.db.execute.return_value.fetchone.side_effect = [ + [1, 2, 3, 4], # trait_info = g.db.execute(query).fetchone() + [1, None, 3, 4, 5], # trait_qtl = g.db.execute(query).fetchone() + [2, 3] # trait_info = g.db.execute(query).fetchone() + ] + requests_mock.return_value = None + + mock_dataset = mock.MagicMock() + type(mock_dataset).display_fields = mock.PropertyMock( + return_value=["a", "b", "c", "d"]) + type(mock_dataset).type = "ProbeSet" + type(mock_dataset).name = "RandomName" + + mock_trait = MockTrait( + dataset=mock_dataset, + pre_publication_description="test_string" + ) + trait_attrs = { + "description": "some description", + "probe_target_description": "some description", + "cellid": False, + "chr": 2.733, + "mb": 2.1204 + } + + for key, val in list(trait_attrs.items()): + setattr(mock_trait, key, val) + test_trait = retrieve_trait_info(trait=mock_trait, + dataset=mock_dataset, + get_qtl_info=True) + self.assertEqual(test_trait.LRS_score_repr, + "N/A") + self.assertEqual(test_trait.LRS_location_repr, + "Chr2: 3.000000") + + @mock.patch('base.trait.requests.get') + @mock.patch('base.trait.g') + @mock.patch('base.trait.get_resource_id') + def test_retrieve_trait_info_with_empty_chr_field(self, + resource_id_mock, + g_mock, + requests_mock): + """Test retrieve trait info with empty chr field""" + resource_id_mock.return_value = 1 + g_mock.db.execute.return_value.fetchone = mock.Mock() + g_mock.db.execute.return_value.fetchone.side_effect = [ + [1, 2, 3, 4], # trait_info = g.db.execute(query).fetchone() + [1, 2, 3, 4, 5], # trait_qtl = g.db.execute(query).fetchone() + [None, 3] # trait_info = g.db.execute(query).fetchone() + ] + + requests_mock.return_value = None + + mock_dataset = mock.MagicMock() + type(mock_dataset).display_fields = mock.PropertyMock( + return_value=["a", "b", "c", "d"]) + type(mock_dataset).type = "ProbeSet" + type(mock_dataset).name = "RandomName" + + mock_trait = MockTrait( + dataset=mock_dataset, + pre_publication_description="test_string" + ) + trait_attrs = { + "description": "some description", + "probe_target_description": "some description", + "cellid": False, + "chr": 2.733, + "mb": 2.1204 + } + + for key, val in list(trait_attrs.items()): + setattr(mock_trait, key, val) + test_trait = retrieve_trait_info(trait=mock_trait, + dataset=mock_dataset, + get_qtl_info=True) + self.assertEqual(test_trait.LRS_score_repr, + "N/A") + self.assertEqual(test_trait.LRS_location_repr, + "N/A") -- cgit v1.2.3