diff options
Diffstat (limited to 'wqflask/tests/unit')
| -rw-r--r-- | wqflask/tests/unit/wqflask/correlation/test_correlation_functions.py | 21 | ||||
| -rw-r--r-- | wqflask/tests/unit/wqflask/correlation/test_show_corr_results.py | 95 |
2 files changed, 116 insertions, 0 deletions
diff --git a/wqflask/tests/unit/wqflask/correlation/test_correlation_functions.py b/wqflask/tests/unit/wqflask/correlation/test_correlation_functions.py new file mode 100644 index 00000000..db449eb1 --- /dev/null +++ b/wqflask/tests/unit/wqflask/correlation/test_correlation_functions.py @@ -0,0 +1,21 @@ +import unittest +from unittest import mock +from wqflask.correlation.correlation_functions import get_trait_symbol_and_tissue_values +from wqflask.correlation.correlation_functions import cal_zero_order_corr_for_tiss + + +class TestCorrelationFunctions(unittest.TestCase): + + + @mock.patch("wqflask.correlation.correlation_functions.MrnaAssayTissueData") + def test_get_trait_symbol_and_tissue_values(self, mock_class): + """test for getting trait symbol and tissue_values""" + mock_class_instance = mock_class.return_value + mock_class_instance.gene_symbols = ["k1", "k2", "k3"] + mock_class_instance.get_symbol_values_pairs.return_value = { + "k1": ["v1", "v2", "v3"], "k2": ["v2", "v3"], "k3": ["k3"]} + results = get_trait_symbol_and_tissue_values( + symbol_list=["k1", "k2", "k3"]) + mock_class.assert_called_with(gene_symbols=['k1', 'k2', 'k3']) + self.assertEqual({"k1": ["v1", "v2", "v3"], "k2": [ + "v2", "v3"], "k3": ["k3"]}, results) diff --git a/wqflask/tests/unit/wqflask/correlation/test_show_corr_results.py b/wqflask/tests/unit/wqflask/correlation/test_show_corr_results.py new file mode 100644 index 00000000..4e63207e --- /dev/null +++ b/wqflask/tests/unit/wqflask/correlation/test_show_corr_results.py @@ -0,0 +1,95 @@ +import unittest +from unittest import mock +from wqflask.correlation.show_corr_results import get_header_fields +from wqflask.correlation.show_corr_results import generate_corr_json +from wqflask.correlation.show_corr_results import do_bicor + + +class Trait: + def __init__(self,trait_obj): + for key,value in trait_obj.items(): + setattr(self,key,value) + +class TestShowCorrResults(unittest.TestCase): + + def test_process_samples(self): + pass + def test_get_header_fields(self): + expected=[ + ['Index', + 'Record', + 'Symbol', + 'Description', + 'Location', + 'Mean', + 'Sample rho', + 'N', + 'Sample p(rho)', + 'Lit rho', + 'Tissue rho', + 'Tissue p(rho)', + 'Max LRS', + 'Max LRS Location', + 'Additive Effect'], + + ['Index', + 'ID', + 'Location', + 'Sample r', + 'N', + 'Sample p(r)'] + + ] + result1=get_header_fields("ProbeSet","spearman") + result2=get_header_fields("Other","Other") + self.assertEqual(result1,expected[0]) + self.assertEqual(result2,expected[1]) + + + + + def test_generate_corr_json(self): + this_trait=Trait({"name":"trait_test"}) + dataset=Trait({"name":"the_name"}) + target_dataset=Trait({"type":"Publish"}) + + trait_with_publish={ + "description_display":"Trait 2 description", + "authors":"trait_2 ", + "pubmed_id":"34n4nn31hn43", + "lrs_location":"N/A", + "additive":"", + "sample_r":100, + "num_overlap":3.2, + "view":True, + "name":"trait_1", + "pubmed_text":"2016", + "additive":"", + "sample_r":10.5, + "LRS_score_repr":"N/A", + "LRS_location_repr":"N/A", + "sample_p":5, + "num_overlap":"num_1" + + + + } + expected_results="""[{"trait_id": "trait_1", "description": "Trait 2 description", "authors": "trait_2 ", "pubmed_id": "34n4nn31hn43", "year": "2016", "lrs_score": "N/A", "lrs_location": "N/A", "additive": "N/A", "sample_r": "10.500", "num_overlap": "num_1", "sample_p": "5.000e+00"}]""" + + corr_results=[Trait(trait_with_publish)] + results=generate_corr_json(corr_results=corr_results,this_trait=this_trait,dataset=dataset,target_dataset=target_dataset,for_api=True) + self.assertEqual(results,expected_results) + + + + def test_generate_corr_json_view_false(self): + trait=Trait({"view":False}) + corr_results=[trait] + this_trait=Trait({"name":"trait_test"}) + dataset=Trait({"name":"the_name"}) + + + results_where_view_is_false=generate_corr_json(corr_results=corr_results,this_trait=this_trait,dataset={},target_dataset={},for_api=False) + + # self.assertEqual(results,[]) + self.assertEqual(results_where_view_is_false,"[]")
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