"""module contains python code for wgcna""" from unittest import skip from unittest import TestCase from unittest import mock from gn3.computations.wgcna import dump_wgcna_data from gn3.computations.wgcna import compose_wgcna_cmd from gn3.computations.wgcna import call_wgcna_script class TestWgcna(TestCase): """test class for wgcna""" @mock.patch("gn3.computations.wgcna.dump_wgcna_data") def test_call_wgcna_script(self, mock_dump): """call wgcna script""" mock_dump.return_value = "/tmp/QmQPeNsJPyVWPFDVHb77w8G42Fvo15z4bG2X8D2GhfbSXc-test.json" results = call_wgcna_script( "/home/kabui/project/genenetwork3/scripts/wgcna_analysis.R", {}) self.assertEqual(results, "dsedf") def test_compose_wgcna_cmd(self): """test for composing wgcna cmd""" wgcna_cmd = compose_wgcna_cmd( "wgcna.r", "/tmp/wgcna.json") self.assertEqual( wgcna_cmd, "Rscript ./scripts/wgcna.r /tmp/wgcna.json") @skip("to update tests") def test_create_json_file(self): """test for writing the data to a csv file""" # # All the traits we have data for (should not contain duplicates) # All the strains we have data for (contains duplicates) trait_sample_data = {"1425642_at": {"129S1/SvImJ": 7.142, "A/J": 7.31, "AKR/J": 7.49, "B6D2F1": 6.899, "BALB/cByJ": 7.172, "BALB/cJ": 7.396}, "1457784_at": {"129S1/SvImJ": 7.071, "A/J": 7.05, "AKR/J": 7.313, "B6D2F1": 6.999, "BALB/cByJ": 7.293, "BALB/cJ": 7.117}, "1444351_at": {"129S1/SvImJ": 7.221, "A/J": 7.246, "AKR/J": 7.754, "B6D2F1": 6.866, "BALB/cByJ": 6.752, "BALB/cJ": 7.269} } expected_input = { "trait_sample_data": trait_sample_data, "TOMtype": "unsigned", "minModuleSize": 30 } results = dump_wgcna_data( expected_input) self.assertEqual(results, {})