Mercurial > repos > pieterlukasse > prims_metabolomics
annotate test/test_library_lookup.py @ 30:60b53f2aa48a
Small fixes, added microminutes support to MsClust, removed TIC or MsClust output
author | pieter.lukasse@wur.nl |
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date | Sat, 30 Aug 2014 16:14:18 +0200 |
parents | 53e1eee93430 |
children | eb0e25d06060 |
rev | line source |
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0 | 1 ''' |
2 Created on Mar 6, 2012 | |
3 | |
4 @author: marcelk | |
5 ''' | |
6 from GCMS import library_lookup, match_library | |
7 from pkg_resources import resource_filename # @UnresolvedImport # pylint: disable=E0611 | |
8 import os | |
9 import shutil | |
10 import tempfile | |
11 import unittest | |
12 | |
13 | |
14 class Test(unittest.TestCase): | |
15 ''' | |
16 Tests the 'library_lookup' Galaxy tool | |
17 ''' | |
18 | |
19 def setUp(self): | |
20 self.ri_database = resource_filename(__name__, "data/RIDB_subset.txt") | |
21 self.nist_output = resource_filename(__name__, "data/NIST_tabular.txt") | |
22 self.ridb_poly_regress = resource_filename(__name__, "data/ridb_poly_regression.txt") | |
23 self.ridb_linear_regress = resource_filename(__name__, "data/ridb_linear_regression.txt") | |
24 | |
25 def test_create_lookup_table(self): | |
26 ''' | |
27 Tests the 'create_lookup_table' function | |
28 ''' | |
29 column_type = 'Capillary' | |
30 polarity = 'Semi-standard non-polar' | |
31 lookup_dict = library_lookup.create_lookup_table(self.ri_database, column_type, polarity) | |
32 self.assertFalse(False in [res[4] == 'Capillary' for res in lookup_dict['4177166']]) | |
33 self.assertEqual(['C51276336', '2,6-Dimethyl-octa-1,7-dien-3,6-diol', 'C10H18O2', | |
34 '1277', 'Capillary', 'Semi-standard non-polar', 'DB-5MS', '1', | |
35 'C51276336_DB-5MS', '', '', ''], lookup_dict['51276336'][1]) | |
36 | |
37 def test_read_model(self): | |
38 ''' | |
39 Tests reading the regression model data containing the parameters required for converting | |
40 retention indices between GC-columns | |
41 ''' | |
42 model, _ = library_lookup._read_model(self.ridb_poly_regress) | |
43 # Order of values: coefficient 1 through 4, left limit, right limit | |
44 # Polynomial model | |
45 self.assertEqual([20.6155874639486, 0.945187096379008, 3.96480787567566e-05, -9.04377237159287e-09, | |
46 628.0, 2944.0, 405.0, 0, 0.998685262365514], model['HP-5']['SE-54']) | |
47 self.assertEqual([-92.3963391356951, 1.26116176393346, -0.000191991657547972, 4.15387371263164e-08, | |
48 494.0, 2198.0, 407.0, 0, 0.996665023122993], model['Apiezon L']['Squalane']) | |
49 # Linear model | |
50 model, _ = library_lookup._read_model(self.ridb_linear_regress) | |
51 self.assertEqual([2.81208738561543, 0.99482475526584, 628.0, 2944.0, 405.0, 0, 0.998643883946458], | |
52 model['HP-5']['SE-54']) | |
53 self.assertEqual([19.979922768462, 0.993741869298272, 494.0, 2198.0, 407.0, 0, 0.99636062891041], | |
54 model['Apiezon L']['Squalane']) | |
55 | |
56 def test_apply_regression(self): | |
57 ''' | |
58 Tests the regression model on some arbitrary retention indices | |
59 ''' | |
60 poly_model, _ = library_lookup._read_model(self.ridb_poly_regress) | |
61 linear_model, _ = library_lookup._read_model(self.ridb_linear_regress) | |
62 retention_indices = [1000, 1010, 1020, 1030, 1040, 1050] | |
63 converted_poly = [] | |
64 converted_linear = [] | |
65 for ri in retention_indices: | |
66 converted_poly.append(library_lookup._apply_poly_regression('HP-5', 'DB-5', ri, poly_model)) | |
67 converted_linear.append(library_lookup._apply_linear_regression('HP-5', 'DB-5', ri, linear_model)) | |
68 | |
69 self.assertEqual([1003.0566541860778, 1013.0979459524663, 1023.1358645806529, 1033.170466241159, | |
70 1043.2018071045052, 1053.2299433412131], converted_poly) | |
71 self.assertEqual([1001.8127584915925, 1011.830140783027, 1021.8475230744615, 1031.864905365896, | |
72 1041.8822876573306, 1051.899669948765], converted_linear) | |
73 | |
74 # Test polynomial limit detection, the following RI falls outside of the possible limits | |
75 ri = 3400 | |
76 converted_poly = library_lookup._apply_poly_regression('HP-5', 'DB-5', ri, poly_model) | |
77 self.assertEqual(False, converted_poly) | |
78 | |
79 def test_preferred_hit(self): | |
80 ''' Tests the matching of the hits with the preferred column, including regression ''' | |
81 model, method = library_lookup._read_model(self.ridb_poly_regress) | |
82 column_type = 'Capillary' | |
83 polarity = 'Semi-standard non-polar' | |
84 lookup_dict = library_lookup.create_lookup_table(self.ri_database, column_type, polarity) | |
85 hits = lookup_dict['150867'] | |
86 # No regression, should however consider order of given preference | |
87 match = library_lookup._preferred(hits, ['SE-52', 'DB-5', 'HP-5'], column_type, polarity, model, method) | |
88 expected = (['C150867', '(E)-phytol', 'C20H40O', '2110', 'Capillary', | |
89 'Semi-standard non-polar', 'SE-52', '', 'C150867_SE-52', '', '', ''], False) | |
90 self.assertEqual(expected, match) | |
91 | |
92 # Perform regression by looking for 'OV-101' which isn't there. 'SE-52' has the best regression model | |
93 # of the available columns | |
94 match = library_lookup._preferred(hits, ['OV-101'], column_type, polarity, model, method) | |
95 expected = (['C150867', '(E)-phytol', 'C20H40O', 2158.5769891569125, 'Capillary', | |
96 'Semi-standard non-polar', 'SE-52', '', 'C150867_SE-52', '', '', ''], 'SE-52') | |
97 self.assertEqual(expected, match) | |
98 | |
99 def test_format_result(self): | |
100 ''' | |
101 Tests the 'format_result' function | |
102 ''' | |
103 column_type = 'Capillary' | |
104 polarity = 'Semi-standard non-polar' | |
105 | |
106 # Look for DB-5 | |
107 pref_column = ['DB-5'] | |
108 model, method = library_lookup._read_model(self.ridb_poly_regress) | |
109 lookup_dict = library_lookup.create_lookup_table(self.ri_database, column_type, polarity) | |
110 data = library_lookup.format_result(lookup_dict, self.nist_output, pref_column, column_type, | |
111 polarity, model, method)#False, None) | |
112 | |
113 # remove non-hits from set: | |
114 data = _get_hits_only(data) | |
115 self.assertEqual(['C544354', 'Ethyl linoleate', 'C20H36O2', '2155', 'Capillary', 'Semi-standard non-polar', | |
116 'DB-5', '1', 'C544354_DB-5', '1810', 'None', '', '', '0'], data[20]) | |
117 self.assertEqual(111, len(data)) | |
118 | |
119 # Look for both DB-5 and HP-5 | |
120 pref_column = ['DB-5', 'HP-5'] | |
121 data = library_lookup.format_result(lookup_dict, self.nist_output, pref_column, column_type, | |
122 polarity, False, None) | |
123 # remove non-hits from set: | |
124 data = _get_hits_only(data) | |
125 self.assertEqual(['C502614', '.beta.-(E)-Farnesene', 'C15H24', '1508', 'Capillary', 'Semi-standard non-polar', | |
126 'DB-5', '1', 'C502614_DB-5', '942', 'None', '1482', '1522', '22'], data[50]) | |
127 self.assertEqual(106, len(data)) | |
128 | |
129 | |
130 def test_save_data(self): | |
131 ''' | |
132 Tests the creation of the output tabular file | |
133 ''' | |
134 temp_folder = tempfile.mkdtemp(prefix='gcms_combine_output_') | |
135 saved_data = '{0}/{1}'.format(temp_folder, 'output.tsv') | |
136 column_type = 'Capillary' | |
137 polarity = 'Semi-standard non-polar' | |
138 pref_column = ['DB-5'] | |
139 lookup_dict = library_lookup.create_lookup_table(self.ri_database, column_type, polarity) | |
140 data = library_lookup.format_result(lookup_dict, self.nist_output, pref_column, column_type, polarity, False, None) | |
141 library_lookup._save_data(data, saved_data) | |
142 self.failUnless(os.path.exists(saved_data)) | |
143 shutil.rmtree(temp_folder) | |
144 | |
145 | |
146 def test_match_library_get_lib_files(self): | |
147 ''' | |
148 Tests the match_library.py functionality | |
149 ''' | |
16 | 150 riqc_libs_dir = resource_filename(__name__, "../repositories/PRIMS-metabolomics/RI_DB_libraries") |
0 | 151 get_library_files_output = match_library.get_directory_files(riqc_libs_dir) |
30
60b53f2aa48a
Small fixes, added microminutes support to MsClust, removed TIC or MsClust output
pieter.lukasse@wur.nl
parents:
16
diff
changeset
|
152 self.assertEqual(2, len(get_library_files_output)) |
0 | 153 self.assertEqual("Library_RI_DB_capillary_columns-noDuplicates", get_library_files_output[0][0]) |
154 #TODO change assert below to assert that the result is a file, so the test can run on other dirs as well: | |
155 #self.assertEqual("E:\\workspace\\PRIMS-metabolomics\\python-tools\\tools\\GCMS\\test\\data\\riqc_libs\\RI DB library (capillary columns) Dec.2012.txt", get_library_files_output[0][1]) | |
156 #self.assertEqual("RI DB library (capillary columns) Jan.2013", get_library_files_output[1][0]) | |
157 try: | |
158 get_library_files_output = match_library.get_directory_files("/blah") | |
159 # should not come here | |
160 self.assertTrue(False) | |
161 except: | |
162 # should come here | |
163 self.assertTrue(True) | |
164 | |
165 def _get_hits_only(data): | |
166 ''' | |
167 removes items that have RI == 0.0 and Name == '' (these are dummy lines just for the output | |
168 ''' | |
169 result = [] | |
170 for item_idx in xrange(len(data)): | |
171 item = data[item_idx] | |
172 if item[1] != '' and item[3] > 0.0 : | |
173 result.append(item) | |
174 | |
175 return result | |
176 | |
177 | |
178 if __name__ == "__main__": | |
179 #import sys;sys.argv = ['', 'Test.testName'] | |
180 unittest.main() |