efa6fe1e97409947d251ba6bed110684793f2742
[htsworkflow.git] / htsworkflow / pipelines / test / test_runfolder_ipar130.py
1 #!/usr/bin/env python
2
3 from datetime import datetime, date
4 import os
5 import tempfile
6 import shutil
7 import unittest
8
9 from htsworkflow.pipelines import ipar
10 from htsworkflow.pipelines import bustard
11 from htsworkflow.pipelines import gerald
12 from htsworkflow.pipelines import runfolder
13 from htsworkflow.pipelines.runfolder import ElementTree
14
15 from htsworkflow.pipelines.test.simulate_runfolder import *
16
17
18 def make_runfolder(obj=None):
19     """
20     Make a fake runfolder, attach all the directories to obj if defined
21     """
22     # make a fake runfolder directory
23     temp_dir = tempfile.mkdtemp(prefix='tmp_runfolder_')
24
25     runfolder_dir = os.path.join(temp_dir,
26                                  '090313_HWI-EAS229_0101_3021JAAXX')
27     os.mkdir(runfolder_dir)
28
29     data_dir = os.path.join(runfolder_dir, 'Data')
30     os.mkdir(data_dir)
31
32     ipar_dir = make_ipar_dir(data_dir, '1.30')
33
34     bustard_dir = os.path.join(ipar_dir,
35                                'Bustard1.3.2_15-03-2008_diane')
36     os.mkdir(bustard_dir)
37     make_phasing_params(bustard_dir)
38     make_bustard_config132(bustard_dir)
39
40     gerald_dir = os.path.join(bustard_dir,
41                               'GERALD_15-03-2008_diane')
42     os.mkdir(gerald_dir)
43     make_gerald_config_100(gerald_dir)
44     make_summary_ipar130_htm(gerald_dir)
45     make_eland_multi(gerald_dir)
46
47     if obj is not None:
48         obj.temp_dir = temp_dir
49         obj.runfolder_dir = runfolder_dir
50         obj.data_dir = data_dir
51         obj.image_analysis_dir = ipar_dir
52         obj.bustard_dir = bustard_dir
53         obj.gerald_dir = gerald_dir
54
55
56 class RunfolderTests(unittest.TestCase):
57     """
58     Test components of the runfolder processing code
59     which includes firecrest, bustard, and gerald
60     """
61     def setUp(self):
62         # attaches all the directories to the object passed in
63         make_runfolder(self)
64
65     def tearDown(self):
66         shutil.rmtree(self.temp_dir)
67
68     def test_ipar(self):
69         """
70         Construct a firecrest object
71         """
72         i = ipar.ipar(self.image_analysis_dir)
73         self.failUnlessEqual(i.version, '2.01.192.0')
74         self.failUnlessEqual(i.start, 1)
75         self.failUnlessEqual(i.stop, 37)
76
77         xml = i.get_elements()
78         # just make sure that element tree can serialize the tree
79         xml_str = ElementTree.tostring(xml)
80
81         i2 = ipar.IPAR(xml=xml)
82         self.failUnlessEqual(i.version, i2.version)
83         self.failUnlessEqual(i.start,   i2.start)
84         self.failUnlessEqual(i.stop,    i2.stop)
85         self.failUnlessEqual(i.date,    i2.date)
86         self.failUnlessEqual(i.file_list(), i2.file_list())
87
88     def test_bustard(self):
89         """
90         construct a bustard object
91         """
92         b = bustard.bustard(self.bustard_dir)
93         self.failUnlessEqual(b.version, '1.3.2')
94         self.failUnlessEqual(b.date,    date(2008,3,15))
95         self.failUnlessEqual(b.user,    'diane')
96         self.failUnlessEqual(len(b.phasing), 8)
97         self.failUnlessAlmostEqual(b.phasing[8].phasing, 0.0099)
98         self.failUnlessEqual(b.crosstalk.base.keys(), ['A','C','T','G'])
99
100         self.failUnlessAlmostEqual(b.crosstalk.base['A'][0],  1.27)
101         self.failUnlessAlmostEqual(b.crosstalk.base['A'][1],  0.20999999999999)
102         self.failUnlessAlmostEqual(b.crosstalk.base['A'][2], -0.02)
103         self.failUnlessAlmostEqual(b.crosstalk.base['A'][3], -0.03)
104
105         self.failUnlessAlmostEqual(b.crosstalk.base['C'][0],  0.57)
106         self.failUnlessAlmostEqual(b.crosstalk.base['C'][1],  0.58)
107         self.failUnlessAlmostEqual(b.crosstalk.base['C'][2], -0.01)
108         self.failUnlessAlmostEqual(b.crosstalk.base['C'][3], -0.01)
109
110         self.failUnlessAlmostEqual(b.crosstalk.base['T'][0], -0.02)
111         self.failUnlessAlmostEqual(b.crosstalk.base['T'][1], -0.02)
112         self.failUnlessAlmostEqual(b.crosstalk.base['T'][2],  0.80)
113         self.failUnlessAlmostEqual(b.crosstalk.base['T'][3],  1.07)
114
115         self.failUnlessAlmostEqual(b.crosstalk.base['G'][0], -0.03)
116         self.failUnlessAlmostEqual(b.crosstalk.base['G'][1], -0.04)
117         self.failUnlessAlmostEqual(b.crosstalk.base['G'][2],  1.51)
118         self.failUnlessAlmostEqual(b.crosstalk.base['G'][3], -0.02)
119
120         xml = b.get_elements()
121         b2 = bustard.Bustard(xml=xml)
122         self.failUnlessEqual(b.version, b2.version)
123         self.failUnlessEqual(b.date,    b2.date )
124         self.failUnlessEqual(b.user,    b2.user)
125         self.failUnlessEqual(len(b.phasing), len(b2.phasing))
126         for key in b.phasing.keys():
127             self.failUnlessEqual(b.phasing[key].lane,
128                                  b2.phasing[key].lane)
129             self.failUnlessEqual(b.phasing[key].phasing,
130                                  b2.phasing[key].phasing)
131             self.failUnlessEqual(b.phasing[key].prephasing,
132                                  b2.phasing[key].prephasing)
133
134     def test_gerald(self):
135         # need to update gerald and make tests for it
136         g = gerald.gerald(self.gerald_dir)
137
138         self.failUnlessEqual(g.version,
139             '@(#) Id: GERALD.pl,v 1.171 2008/05/19 17:36:14 mzerara Exp')
140         self.failUnlessEqual(g.date, datetime(2009,2,22,21,15,59))
141         self.failUnlessEqual(len(g.lanes), len(g.lanes.keys()))
142         self.failUnlessEqual(len(g.lanes), len(g.lanes.items()))
143
144
145         # list of genomes, matches what was defined up in
146         # make_gerald_config.
147         # the first None is to offset the genomes list to be 1..9
148         # instead of pythons default 0..8
149         genomes = [None, 
150                    '/g/mm9', 
151                    '/g/mm9', 
152                    '/g/elegans190', 
153                    '/g/arabidopsis01222004',
154                    '/g/mm9', 
155                    '/g/mm9', 
156                    '/g/mm9', 
157                    '/g/mm9', ]
158
159         # test lane specific parameters from gerald config file
160         for i in range(1,9):
161             cur_lane = g.lanes[i]
162             self.failUnlessEqual(cur_lane.analysis, 'eland_extended')
163             self.failUnlessEqual(cur_lane.eland_genome, genomes[i])
164             self.failUnlessEqual(cur_lane.read_length, '37')
165             self.failUnlessEqual(cur_lane.use_bases, 'Y'*37)
166
167         # I want to be able to use a simple iterator
168         for l in g.lanes.values():
169           self.failUnlessEqual(l.analysis, 'eland_extended')
170           self.failUnlessEqual(l.read_length, '37')
171           self.failUnlessEqual(l.use_bases, 'Y'*37)
172
173         # test data extracted from summary file
174         clusters = [None,
175                     (126910, 4300), (165739, 6792),
176                     (196565, 8216), (153897, 8501),
177                     (135536, 3908), (154083, 9315),
178                     (159991, 9292), (198479, 17671),]
179
180         self.failUnlessEqual(len(g.summary), 1)
181         for i in range(1,9):
182             summary_lane = g.summary[0][i]
183             self.failUnlessEqual(summary_lane.cluster, clusters[i])
184             self.failUnlessEqual(summary_lane.lane, i)
185
186         xml = g.get_elements()
187         # just make sure that element tree can serialize the tree
188         xml_str = ElementTree.tostring(xml)
189         g2 = gerald.Gerald(xml=xml)
190
191         # do it all again after extracting from the xml file
192         self.failUnlessEqual(g.version, g2.version)
193         self.failUnlessEqual(g.date, g2.date)
194         self.failUnlessEqual(len(g.lanes.keys()), len(g2.lanes.keys()))
195         self.failUnlessEqual(len(g.lanes.items()), len(g2.lanes.items()))
196
197         # test lane specific parameters from gerald config file
198         for i in range(1,9):
199             g_lane = g.lanes[i]
200             g2_lane = g2.lanes[i]
201             self.failUnlessEqual(g_lane.analysis, g2_lane.analysis)
202             self.failUnlessEqual(g_lane.eland_genome, g2_lane.eland_genome)
203             self.failUnlessEqual(g_lane.read_length, g2_lane.read_length)
204             self.failUnlessEqual(g_lane.use_bases, g2_lane.use_bases)
205
206         # test (some) summary elements
207         self.failUnlessEqual(len(g.summary), 1)
208         for i in range(1,9):
209             g_summary = g.summary[0][i]
210             g2_summary = g2.summary[0][i]
211             self.failUnlessEqual(g_summary.cluster, g2_summary.cluster)
212             self.failUnlessEqual(g_summary.lane, g2_summary.lane)
213
214             g_eland = g.eland_results
215             g2_eland = g2.eland_results
216             for lane in g_eland.results[0].keys():
217                 g_results = g_eland.results[0][lane]
218                 g2_results = g2_eland.results[0][lane]
219                 self.failUnlessEqual(g_results.reads,
220                                      g2_results.reads)
221                 self.failUnlessEqual(len(g_results.mapped_reads),
222                                      len(g2_results.mapped_reads))
223                 for k in g_results.mapped_reads.keys():
224                     self.failUnlessEqual(g_results.mapped_reads[k],
225                                          g2_results.mapped_reads[k])
226
227                 self.failUnlessEqual(len(g_results.match_codes),
228                                      len(g2_results.match_codes))
229                 for k in g_results.match_codes.keys():
230                     self.failUnlessEqual(g_results.match_codes[k],
231                                          g2_results.match_codes[k])
232
233
234     def test_eland(self):
235         hg_map = {'Lambda.fa': 'Lambda.fa'}
236         for i in range(1,22):
237           short_name = 'chr%d.fa' % (i,)
238           long_name = 'hg18/chr%d.fa' % (i,)
239           hg_map[short_name] = long_name
240
241         genome_maps = { 1:hg_map, 2:hg_map, 3:hg_map, 4:hg_map,
242                         5:hg_map, 6:hg_map, 7:hg_map, 8:hg_map }
243         eland = gerald.eland(self.gerald_dir, genome_maps=genome_maps)
244
245         for i in range(1,9):
246             lane = eland.results[0][i]
247             self.failUnlessEqual(lane.reads, 6)
248             self.failUnlessEqual(lane.sample_name, "s")
249             self.failUnlessEqual(lane.lane_id, i)
250             self.failUnlessEqual(len(lane.mapped_reads), 17)
251             self.failUnlessEqual(lane.mapped_reads['hg18/chr5.fa'], 4)
252             self.failUnlessEqual(lane.match_codes['U0'], 3)
253             self.failUnlessEqual(lane.match_codes['R0'], 2)
254             self.failUnlessEqual(lane.match_codes['U1'], 1)
255             self.failUnlessEqual(lane.match_codes['R1'], 9)
256             self.failUnlessEqual(lane.match_codes['U2'], 0)
257             self.failUnlessEqual(lane.match_codes['R2'], 12)
258             self.failUnlessEqual(lane.match_codes['NM'], 1)
259             self.failUnlessEqual(lane.match_codes['QC'], 0)
260
261         xml = eland.get_elements()
262         # just make sure that element tree can serialize the tree
263         xml_str = ElementTree.tostring(xml)
264         e2 = gerald.ELAND(xml=xml)
265
266         for i in range(1,9):
267             l1 = eland.results[0][i]
268             l2 = e2.results[0][i]
269             self.failUnlessEqual(l1.reads, l2.reads)
270             self.failUnlessEqual(l1.sample_name, l2.sample_name)
271             self.failUnlessEqual(l1.lane_id, l2.lane_id)
272             self.failUnlessEqual(len(l1.mapped_reads), len(l2.mapped_reads))
273             self.failUnlessEqual(len(l1.mapped_reads), 17)
274             for k in l1.mapped_reads.keys():
275                 self.failUnlessEqual(l1.mapped_reads[k],
276                                      l2.mapped_reads[k])
277
278             self.failUnlessEqual(len(l1.match_codes), 9)
279             self.failUnlessEqual(len(l1.match_codes), len(l2.match_codes))
280             for k in l1.match_codes.keys():
281                 self.failUnlessEqual(l1.match_codes[k],
282                                      l2.match_codes[k])
283
284     def test_runfolder(self):
285         runs = runfolder.get_runs(self.runfolder_dir)
286
287         # do we get the flowcell id from the filename?
288         self.failUnlessEqual(len(runs), 1)
289         name = 'run_3021JAAXX_%s.xml' % ( date.today().strftime('%Y-%m-%d'),)
290         self.failUnlessEqual(runs[0].name, name)
291
292         # do we get the flowcell id from the FlowcellId.xml file
293         make_flowcell_id(self.runfolder_dir, '207BTAAXY')
294         runs = runfolder.get_runs(self.runfolder_dir)
295         self.failUnlessEqual(len(runs), 1)
296         name = 'run_207BTAAXY_%s.xml' % ( date.today().strftime('%Y-%m-%d'),)
297         self.failUnlessEqual(runs[0].name, name)
298
299         r1 = runs[0]
300         xml = r1.get_elements()
301         xml_str = ElementTree.tostring(xml)
302
303         r2 = runfolder.PipelineRun(xml=xml)
304         self.failUnlessEqual(r1.name, r2.name)
305         self.failIfEqual(r2.image_analysis, None)
306         self.failIfEqual(r2.bustard, None)
307         self.failIfEqual(r2.gerald, None)
308
309
310 def suite():
311     return unittest.makeSuite(RunfolderTests,'test')
312
313 if __name__ == "__main__":
314     unittest.main(defaultTest="suite")
315