Пример #1
0
def resources():
    taxonomy_repo = TaxonomyRepo()
    ret_val = {
        'resources': taxonomy_repo.resources(),
    }
    return jsonify(ret_val), 200
Пример #2
0
class TestTaxonomyRepoWithResources(TempfileTestCase, ConfigTestCase):
    def setUp(self):
        TempfileTestCase.setUp(self)
        ConfigTestCase.setUp(self)
        self.no_resources_repo = TaxonomyRepo()
        self.table1_filename = self.create_tempfile(suffix='.qza').name
        self.taxonomy1_filename = self.create_tempfile(suffix='.qza').name
        self.table2_filename = self.create_tempfile(suffix='.qza').name
        self.taxonomy2_filename = self.create_tempfile(suffix='.qza').name
        self.table3_filename = self.create_tempfile(suffix='.qza').name
        self.var_table_filename = self.create_tempfile(suffix='.qza').name
        self.table_biom = self.create_tempfile(suffix='.biom').name

        self.table = biom.Table(np.array([[0, 1, 2], [2, 4, 6], [3, 0, 1]]),
                                ['feature-1', 'feature-2', 'feature-3'],
                                ['sample-1', 'sample-2', 'sample-3'])

        self.taxonomy_df = pd.DataFrame(
            [['feature-1', 'a; b; c', 0.123],
             ['feature-2', 'a; b; c; d; e', 0.345],
             ['feature-3', 'a; f; g; h', 0.678]],
            columns=['Feature ID', 'Taxon', 'Confidence'])
        self.taxonomy_df.set_index('Feature ID', inplace=True)

        self.table2 = biom.Table(np.array([[0, 1, 2], [2, 4, 6], [3, 0, 1]]),
                                 ['feature-1', 'feature-X', 'feature-3'],
                                 ['sample-1', 'sample-2', 'sample-3'])
        self.taxonomy2_df = pd.DataFrame(
            [['feature-1', 'a; b; c', 0.123],
             ['feature-X', 'a; b; c; d; e', 0.34],
             ['feature-3', 'a; f; g; h', 0.678]],
            columns=['Feature ID', 'Taxon', 'Confidence'])

        self.taxonomy2_df.set_index('Feature ID', inplace=True)

        self.table3 = biom.Table(np.array([[1, 2], [0, 1]]),
                                 ['feature-X', 'feature-3'],
                                 ['sample-2', 'sample-3'])

        imported_artifact = Artifact.import_data("FeatureTable[Frequency]",
                                                 self.table)
        imported_artifact.save(self.table1_filename)
        imported_artifact = Artifact.import_data("FeatureData[Taxonomy]",
                                                 self.taxonomy_df)
        imported_artifact.save(self.taxonomy1_filename)
        imported_artifact = Artifact.import_data("FeatureTable[Frequency]",
                                                 self.table2)
        imported_artifact.save(self.table2_filename)
        imported_artifact = Artifact.import_data("FeatureData[Taxonomy]",
                                                 self.taxonomy2_df)
        imported_artifact.save(self.taxonomy2_filename)
        imported_artifact = Artifact.import_data("FeatureTable[Frequency]",
                                                 self.table3)
        imported_artifact.save(self.table3_filename)
        with biom_open(self.table_biom, 'w') as f:
            self.table.to_hdf5(f, 'test-table')
        config.resources.update({
            'table_resources': {
                'table1': {
                    'table': self.table1_filename,
                },
                'table2': {
                    'table': self.table1_filename,
                    'feature-data-taxonomy': self.taxonomy1_filename,
                    'cache-taxonomy': False,
                },
                'table3': {
                    'table': self.table3_filename,
                    'feature-data-taxonomy': self.taxonomy2_filename,
                    'cache-taxonomy': False,
                    'variances': self.table3_filename,
                },
                'table4': {
                    'table': self.table_biom,
                    'feature-data-taxonomy': self.taxonomy1_filename,
                    'cache-taxonomy': False,
                    'table-format': 'biom'
                },
                'table5': {
                    'table': self.table2_filename,
                },
                'table6': {
                    'table': self.table_biom,
                    'table-format': 'biom',
                },
                'cached-taxonomy-table': {
                    'table': self.table1_filename,
                    'feature-data-taxonomy': self.taxonomy1_filename,
                    'cache-taxonomy': True,
                },
            }
        })
        resources.update(config.resources)
        self.repo = TaxonomyRepo()

    def tearDown(self):
        TempfileTestCase.tearDown(self)
        ConfigTestCase.tearDown(self)

    def test_available_taxonomy_tables(self):
        exp = ['table2', 'table3', 'table4', 'cached-taxonomy-table']
        obs = self.repo.resources()
        self.assertCountEqual(exp, obs)

    def test_available_taxonomy_tables_empty_repo(self):
        exp = []
        obs = self.no_resources_repo.resources()
        self.assertCountEqual(exp, obs)

    def test_get_table(self):
        exp = self.table
        obs = self.repo.table('table2')
        self.assertEqual(exp, obs)

    def test_get_table_cached_taxonomy(self):
        exp = self.table
        obs = self.repo.table('cached-taxonomy-table')
        self.assertEqual(exp, obs)

    def test_get_table_invalid(self):
        with self.assertRaises(ValueError):
            self.repo.table('table1')

    def test_get_taxonomy(self):
        exp = self.taxonomy_df
        obs = self.repo.feature_data_taxonomy('table4')
        obs['Confidence'] = obs['Confidence'].astype('float64')
        assert_frame_equal(exp, obs)

    def test_get_taxonomy_model_cached(self):
        exp = resources['table_resources']['cached-taxonomy-table']['model']
        obs = self.repo.model('cached-taxonomy-table')
        self.assertIs(exp, obs)

    def test_get_taxonomy_model_non_cached(self):
        self.assertNotIn('model', resources['table_resources']['table2'])
        obs = self.repo.model('table2')
        self.assertIsInstance(obs, TaxonomyModel)

    def test_get_taxonomy_invalid(self):
        with self.assertRaises(ValueError):
            self.repo.table('foo')

    def test_get_variances(self):
        exp = self.table3
        obs = self.repo.variances('table3')
        self.assertEqual(exp, obs)

    def test_get_variances_none(self):
        exp = None
        obs = self.repo.variances('table4')
        self.assertIs(exp, obs)

    def test_get_variances_invalid(self):
        with self.assertRaises(ValueError):
            self.repo.table('table6')

    def test_exists(self):
        exp = [False, True, True]
        obs = self.repo.exists(['sample-1', 'sample-2', 'sample-3'], 'table3')
        self.assertListEqual(exp, obs)

    def test_exists_single(self):
        obs = self.repo.exists('sample-1', 'table2')
        self.assertTrue(obs)