# -*- coding: utf-8 -*- """Tests wqflask/base/trait.py""" import unittest from unittest import mock from wqflask import app from base.trait import GeneralTrait from base.trait import retrieve_trait_info class TestResponse: """Mock Test Response after a request""" @property def content(self): """Mock the content from Requests.get(params).content""" return "[1, 2, 3, 4]" class TestNilResponse: """Mock Test Response after a request""" @property def content(self): """Mock the content from Requests.get(params).content""" return "{}" class MockTrait(GeneralTrait): @property def wikidata_alias_fmt(self): return "Mock alias" class TestRetrieveTraitInfo(unittest.TestCase): """Tests for 'retrieve_trait_info'""" def setUp(self): self.app_context = app.app_context() self.app_context.push() def tearDown(self): self.app_context.pop() def test_retrieve_trait_info_with_empty_dataset(self): """Test that an exception is raised when dataset is empty""" with self.assertRaises(AssertionError): retrieve_trait_info(trait=mock.MagicMock(), dataset={}) @mock.patch('base.trait.requests.get') @mock.patch('base.trait.g', mock.Mock()) def test_retrieve_trait_info_with_empty_trait_info(self, requests_mock): """Empty trait info""" requests_mock.return_value = TestNilResponse() with self.assertRaises(KeyError): retrieve_trait_info(trait=mock.MagicMock(), dataset=mock.MagicMock()) @mock.patch('base.trait.requests.get') @mock.patch('base.trait.g', mock.Mock()) def test_retrieve_trait_info_with_non_empty_trait_info(self, requests_mock): """Test that attributes are set""" mock_dataset = mock.MagicMock() requests_mock.return_value = TestResponse() type(mock_dataset).display_fields = mock.PropertyMock( return_value=["a", "b", "c", "d"]) test_trait = retrieve_trait_info(trait=MockTrait(dataset=mock_dataset), dataset=mock_dataset) self.assertEqual(test_trait.a, 1) self.assertEqual(test_trait.b, 2) self.assertEqual(test_trait.c, 3) self.assertEqual(test_trait.d, 4) @mock.patch('base.trait.requests.get') @mock.patch('base.trait.g', mock.Mock()) def test_retrieve_trait_info_utf8_parsing(self, requests_mock): """Test that utf-8 strings are parsed correctly""" utf_8_string = "test_string" mock_dataset = mock.MagicMock() requests_mock.return_value = TestResponse() type(mock_dataset).display_fields = mock.PropertyMock( return_value=["a", "b", "c", "d"]) type(mock_dataset).type = 'Publish' mock_trait = MockTrait( dataset=mock_dataset, pre_publication_description=utf_8_string ) trait_attrs = { "group_code": "test_code", "pre_publication_description": "test_pre_pub", "pre_publication_abbreviation": "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。", "post_publication_description": None, "pubmed_id": None, 'year': "2020", "authors": "Jane Doe かいと", } for key, val in list(trait_attrs.items()): setattr(mock_trait, key, val) test_trait = retrieve_trait_info(trait=mock_trait, dataset=mock_dataset) self.assertEqual(test_trait.abbreviation, "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。") self.assertEqual(test_trait.authors, "Jane Doe かいと") @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 retrieve trait info when lrs has a value""" 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")