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How to use _clean_up_files method in lisa
Best Python code snippet using lisa_python
test_deblur.py
Source:test_deblur.py 
1# -----------------------------------------------------------------------------2# Copyright (c) 2014--, The Qiita Development Team.3#4# Distributed under the terms of the BSD 3-clause License.5#6# The full license is in the file LICENSE, distributed with this software.7# -----------------------------------------------------------------------------8from unittest import main9from os import close, remove, chmod10from shutil import copyfile, rmtree11from tempfile import mkstemp, mkdtemp12from json import dumps, load13from os.path import exists, isdir, join14from os import environ15from qiita_client.testing import PluginTestCase16from qp_deblur import plugin17from qp_deblur.deblur import (18 deblur, generate_deblur_workflow_commands)19class deblurTests(PluginTestCase):20 def setUp(self):21 # this will allow us to see the full errors22 self.maxDiff = None23 plugin("https://localhost:8383", 'register', 'ignored')24 self.params = {25 'Positive filtering database': 'default',26 'Negative filtering database': 'default',27 'Mean per nucleotide error rate': 0.005,28 'Error probabilities for each Hamming distance': (29 '1, 0.06, 0.02, 0.02, 0.01, 0.005, 0.005, '30 '0.005, 0.001, 0.001, 0.001, 0.0005'),31 'Insertion/deletion (indel) probability': 0.01,32 'Maximum number of insertion/deletion (indel)': 3,33 'Sequence trim length (-1 for no trimming)': 100,34 'Minimum dataset-wide read threshold': 0,35 'Minimum per-sample read threshold': 2,36 'Threads per sample': 1, 'Jobs to start': 1,37 'Reference phylogeny for SEPP': 'Greengenes_13.8'}38 self._clean_up_files = []39 # to prevent test from timing out, we need to pre-populate the archive40 # with placements for Deblur fragments to avoid long running SEPP.41 # Therefore, we need a job-id to infer merging scheme which can only be42 # done after demultiplexing job is created. Thus, actuall population43 # needs to be done within the test.44 self.features = dict()45 with open('support_files/sepp/placements.json', 'r') as f:46 for placement in load(f)['placements']:47 self.features[placement['nm'][0][0]] = \48 dumps(placement['p'])49 # saving current value of PATH50 self.oldpath = environ['PATH']51 def tearDown(self):52 # restore eventually changed PATH env var53 environ['PATH'] = self.oldpath54 for fp in self._clean_up_files:55 if exists(fp):56 if isdir(fp):57 rmtree(fp)58 else:59 remove(fp)60 def test_generate_deblur_workflow_commands_error(self):61 with self.assertRaises(ValueError):62 generate_deblur_workflow_commands(63 ['fastq/s1.fastq', 'fastq/s1.fastq'],64 'output', self.params)65 def test_generate_deblur_workflow_commands(self):66 exp = ('deblur workflow --seqs-fp "fastq/s1.fastq" --output-dir '67 '"output" --error-dist "1, 0.06, 0.02, 0.02, 0.01, '68 '0.005, 0.005, 0.005, 0.001, 0.001, 0.001, 0.0005" '69 '--indel-max "3" --indel-prob "0.01" --jobs-to-start "1" '70 '--mean-error "0.005" --min-reads "0" --min-size "2" '71 '--threads-per-sample "1" '72 '--trim-length "100"')73 obs = generate_deblur_workflow_commands(74 ['fastq/s1.fastq'], 'output', self.params)75 self.assertEqual(obs, exp)76 def test_deblur_no_target_gene(self):77 # generating filepaths78 fd, fp = mkstemp(suffix='_seqs.demux')79 close(fd)80 self._clean_up_files.append(fp)81 copyfile('support_files/no_sepp_seqs.demux', fp)82 prep_info_dict = {83 'SKB7.640196': {84 'description_prep': 'SKB7', 'platform': 'Illumina'},85 'SKB8.640193': {86 'description_prep': 'SKB8', 'platform': 'Illumina'}87 }88 data = {'prep_info': dumps(prep_info_dict),89 # magic #1 = testing study90 'study': 1,91 'data_type': 'Metagenomic'}92 pid = self.qclient.post('/apitest/prep_template/', data=data)['prep']93 # inserting artifacts94 data = {95 'filepaths': dumps([(fp, 'preprocessed_fastq')]),96 'type': "Demultiplexed",97 'name': "New demultiplexed artifact",98 'prep': pid}99 aid = self.qclient.post('/apitest/artifact/', data=data)['artifact']100 self.params['Demultiplexed sequences'] = aid101 data = {'user': 'demo@microbio.me',102 'command': dumps(['deblur', '2021.09', 'Deblur 2021.09']),103 'status': 'running',104 'parameters': dumps(self.params)}105 jid = self.qclient.post('/apitest/processing_job/', data=data)['job']106 out_dir = mkdtemp()107 self._clean_up_files.append(out_dir)108 # pre-populate archive with fragment placements109 self.qclient.patch(url="/qiita_db/archive/observations/",110 op="add", path=jid,111 value=dumps(self.features))112 success, ainfo, msg = deblur(self.qclient, jid, self.params, out_dir)113 self.assertEqual(114 'deblur was developed only for amplicon sequencing data', msg)115 self.assertFalse(success)116 def test_deblur_no_tree(self):117 # generating filepaths118 fd, fp = mkstemp(suffix='_seqs.demux')119 close(fd)120 self._clean_up_files.append(fp)121 copyfile('support_files/no_sepp_seqs.demux', fp)122 prep_info_dict = {123 'SKB7.640196': {124 'description_prep': 'SKB7', 'platform': 'Illumina'},125 'SKB8.640193': {126 'description_prep': 'SKB8', 'platform': 'Illumina'}127 }128 data = {'prep_info': dumps(prep_info_dict),129 # magic #1 = testing study130 'study': 1,131 'data_type': 'ITS'}132 pid = self.qclient.post('/apitest/prep_template/', data=data)['prep']133 # inserting artifacts134 data = {135 'filepaths': dumps([(fp, 'preprocessed_fastq')]),136 'type': "Demultiplexed",137 'name': "New demultiplexed artifact",138 'prep': pid}139 aid = self.qclient.post('/apitest/artifact/', data=data)['artifact']140 self.params['Demultiplexed sequences'] = aid141 data = {'user': 'demo@microbio.me',142 'command': dumps(['deblur', '2021.09', 'Deblur 2021.09']),143 'status': 'running',144 'parameters': dumps(self.params)}145 jid = self.qclient.post('/apitest/processing_job/', data=data)['job']146 out_dir = mkdtemp()147 self._clean_up_files.append(out_dir)148 # pre-populate archive with fragment placements149 self.qclient.patch(url="/qiita_db/archive/observations/",150 op="add", path=jid,151 value=dumps(self.features))152 success, ainfo, msg = deblur(self.qclient, jid, self.params, out_dir)153 self.assertEqual("", msg)154 self.assertTrue(success)155 self.assertEqual("BIOM", ainfo[0].artifact_type)156 self.assertEqual(1, len(ainfo))157 self.assertEqual(158 [(join(out_dir, 'deblur_out', 'all.biom'), 'biom'),159 (join(out_dir, 'deblur_out', 'all.seqs.fa'),160 'preprocessed_fasta')], ainfo[0].files)161 def test_no_valid_values_platform_error(self):162 # generating filepaths163 fd, fp = mkstemp(suffix='_seqs.demux')164 close(fd)165 self._clean_up_files.append(fp)166 copyfile('support_files/filtered_5_seqs.demux', fp)167 # inserting new prep template168 prep_info_dict = {169 'SKB7.640196': {'description_prep': 'SKB7', 'platform': 'foo'},170 'SKB8.640193': {'description_prep': 'SKB8', 'platform': 'bar'}171 }172 data = {'prep_info': dumps(prep_info_dict),173 # magic #1 = testing study174 'study': 1,175 'data_type': '16S'}176 pid = self.qclient.post('/apitest/prep_template/', data=data)['prep']177 # inserting artifacts178 data = {179 'filepaths': dumps([(fp, 'preprocessed_demux')]),180 'type': "Demultiplexed",181 'name': "New demultiplexed artifact",182 'prep': pid}183 aid = self.qclient.post('/apitest/artifact/', data=data)['artifact']184 self.params['Demultiplexed sequences'] = aid185 data = {'user': 'demo@microbio.me',186 'command': dumps(['deblur', '2021.09', 'Deblur 2021.09']),187 'status': 'running',188 'parameters': dumps(self.params)}189 jid = self.qclient.post('/apitest/processing_job/', data=data)['job']190 out_dir = mkdtemp()191 self._clean_up_files.append(out_dir)192 success, ainfo, msg = deblur(self.qclient, jid, self.params, out_dir)193 self.assertEqual('deblur is only valid for Illumina `platform`, '194 'current values in the Preparation Information File: '195 'bar, foo', msg)196 self.assertFalse(success)197 def test_no_platform_error(self):198 # generating filepaths199 fd, fp = mkstemp(suffix='_seqs.demux')200 close(fd)201 self._clean_up_files.append(fp)202 copyfile('support_files/filtered_5_seqs.demux', fp)203 # inserting new prep template204 prep_info_dict = {205 'SKB7.640196': {'description_prep': 'SKB7'},206 'SKB8.640193': {'description_prep': 'SKB8'}207 }208 data = {'prep_info': dumps(prep_info_dict),209 # magic #1 = testing study210 'study': 1,211 'data_type': '16S'}212 pid = self.qclient.post('/apitest/prep_template/', data=data)['prep']213 # inserting artifacts214 data = {215 'filepaths': dumps([(fp, 'preprocessed_demux')]),216 'type': "Demultiplexed",217 'name': "New demultiplexed artifact",218 'prep': pid}219 aid = self.qclient.post('/apitest/artifact/', data=data)['artifact']220 self.params['Demultiplexed sequences'] = aid221 data = {'user': 'demo@microbio.me',222 'command': dumps(['deblur', '2021.09', 'Deblur 2021.09']),223 'status': 'running',224 'parameters': dumps(self.params)}225 jid = self.qclient.post('/apitest/processing_job/', data=data)['job']226 out_dir = mkdtemp()227 self._clean_up_files.append(out_dir)228 success, ainfo, msg = deblur(self.qclient, jid, self.params, out_dir)229 self.assertEqual('Preparation Information File does not have a '230 'platform column, which is required', msg)231 self.assertFalse(success)232 def test_deblur(self):233 # generating filepaths234 fd, fp = mkstemp(suffix='_seqs.demux')235 close(fd)236 self._clean_up_files.append(fp)237 copyfile('support_files/filtered_5_seqs.demux', fp)238 # inserting new prep template239 prep_info_dict = {240 'SKB7.640196': {241 'description_prep': 'SKB7', 'platform': 'Illumina'},242 'SKB8.640193': {243 'description_prep': 'SKB8', 'platform': 'Illumina'}244 }245 data = {'prep_info': dumps(prep_info_dict),246 # magic #1 = testing study247 'study': 1,248 'data_type': '16S'}249 pid = self.qclient.post('/apitest/prep_template/', data=data)['prep']250 # inserting artifacts251 data = {252 'filepaths': dumps([(fp, 'preprocessed_fastq')]),253 'type': "Demultiplexed",254 'name': "New demultiplexed artifact",255 'prep': pid}256 aid = self.qclient.post('/apitest/artifact/', data=data)['artifact']257 self.params['Demultiplexed sequences'] = aid258 data = {'user': 'demo@microbio.me',259 'command': dumps(['deblur', '2021.09', 'Deblur 2021.09']),260 'status': 'running',261 'parameters': dumps(self.params)}262 jid = self.qclient.post('/apitest/processing_job/', data=data)['job']263 out_dir = mkdtemp()264 self._clean_up_files.append(out_dir)265 # pre-populate archive with fragment placements266 self.qclient.patch(url="/qiita_db/archive/observations/",267 op="add", path=jid,268 value=dumps(self.features))269 success, ainfo, msg = deblur(self.qclient, jid, self.params, out_dir)270 self.assertEqual("", msg)271 self.assertTrue(success)272 self.assertEqual("BIOM", ainfo[0].artifact_type)273 self.assertEqual(274 [(join(out_dir, 'deblur_out', 'all.biom'), 'biom'),275 (join(out_dir, 'deblur_out', 'all.seqs.fa'),276 'preprocessed_fasta')], ainfo[0].files)277 def test_deblur_demux(self):278 # generating filepaths279 fd, fp = mkstemp(suffix='_seqs.demux')280 close(fd)281 self._clean_up_files.append(fp)282 copyfile('support_files/filtered_5_seqs.demux', fp)283 # inserting new prep template284 prep_info_dict = {285 'SKB7.640196': {286 'description_prep': 'SKB7', 'platform': 'Illumina'},287 'SKB8.640193': {288 'description_prep': 'SKB8', 'platform': 'Illumina'}289 }290 data = {'prep_info': dumps(prep_info_dict),291 # magic #1 = testing study292 'study': 1,293 'data_type': '16S'}294 pid = self.qclient.post('/apitest/prep_template/', data=data)['prep']295 # inserting artifacts296 data = {297 'filepaths': dumps([(fp, 'preprocessed_demux')]),298 'type': "Demultiplexed",299 'name': "New demultiplexed artifact",300 'prep': pid}301 aid = self.qclient.post('/apitest/artifact/', data=data)['artifact']302 self.params['Demultiplexed sequences'] = aid303 data = {'user': 'demo@microbio.me',304 'command': dumps(['deblur', '2021.09', 'Deblur 2021.09']),305 'status': 'running',306 'parameters': dumps(self.params)}307 jid = self.qclient.post('/apitest/processing_job/', data=data)['job']308 out_dir = mkdtemp()309 self._clean_up_files.append(out_dir)310 # pre-populate archive with fragment placements311 self.qclient.patch(url="/qiita_db/archive/observations/",312 op="add", path=jid,313 value=dumps(self.features))314 success, ainfo, msg = deblur(self.qclient, jid, self.params, out_dir)315 self.assertEqual("", msg)316 self.assertTrue(success)317 self.assertEqual("BIOM", ainfo[0].artifact_type)318 self.assertEqual("BIOM", ainfo[1].artifact_type)319 self.assertEqual(320 [(join(out_dir, 'deblur_out', 'deblured', 'all.biom'), 'biom'),321 (join(out_dir, 'deblur_out', 'deblured', 'all.seqs.fa'),322 'preprocessed_fasta')], ainfo[0].files)323 file_tree = join(out_dir, 'deblur_out',324 'deblured', 'insertion_tree.relabelled.tre')325 self.assertEqual(326 [(join(out_dir, 'deblur_out', 'deblured', 'reference-hit.biom'),327 'biom'),328 (join(out_dir, 'deblur_out', 'deblured',329 'reference-hit.seqs.fa'), 'preprocessed_fasta'),330 (file_tree, 'plain_text')331 ], ainfo[1].files)332 # finally we are gonna test that the patch is added to the tree333 with open(file_tree, 'r') as tree_fp:334 tree = tree_fp.read()335 self.assertTrue(tree.endswith("'k__Bacteria':0.0);\n"))336 def test_deblur_failingbin(self):337 # generating filepaths338 fd, fp = mkstemp(suffix='_seqs.demux')339 close(fd)340 self._clean_up_files.append(fp)341 copyfile('support_files/filtered_5_seqs.demux', fp)342 # inserting new prep template343 prep_info_dict = {344 'SKB7.640196': {345 'description_prep': 'SKB7', 'platform': 'Illumina'},346 'SKB8.640193': {347 'description_prep': 'SKB8', 'platform': 'Illumina'}348 }349 data = {'prep_info': dumps(prep_info_dict),350 # magic #1 = testing study351 'study': 1,352 'data_type': '16S'}353 pid = self.qclient.post('/apitest/prep_template/', data=data)['prep']354 # inserting artifacts355 data = {356 'filepaths': dumps([(fp, 'preprocessed_demux')]),357 'type': "Demultiplexed",358 'name': "New demultiplexed artifact",359 'prep': pid}360 aid = self.qclient.post('/apitest/artifact/', data=data)['artifact']361 self.params['Demultiplexed sequences'] = aid362 data = {'user': 'demo@microbio.me',363 'command': dumps(['deblur', '2021.09', 'Deblur 2021.09']),364 'status': 'running',365 'parameters': dumps(self.params)}366 jid = self.qclient.post('/apitest/processing_job/', data=data)['job']367 out_dir = mkdtemp()368 self._clean_up_files.append(out_dir)369 # create a fake deblur binary that will always fail370 fp_fake_deblur = join(out_dir, 'deblur')371 with open(fp_fake_deblur, 'w') as f:372 f.write('#!/bin/bash\nexit 123\n')373 chmod(fp_fake_deblur, 0o775)374 environ['PATH'] = '%s:%s' % (out_dir, self.oldpath)375 success, ainfo, msg = deblur(self.qclient, jid, self.params, out_dir)376 self.assertFalse(success)377 self.assertEqual(ainfo, None)378 self.assertIn('Error running deblur', msg)379 def test_deblur_failing_guppy(self):380 # generating filepaths381 fd, fp = mkstemp(suffix='_seqs.demux')382 close(fd)383 self._clean_up_files.append(fp)384 copyfile('support_files/filtered_5_seqs.demux', fp)385 # inserting new prep template386 prep_info_dict = {387 'SKB7.640196': {388 'description_prep': 'SKB7', 'platform': 'Illumina'},389 'SKB8.640193': {390 'description_prep': 'SKB8', 'platform': 'Illumina'}391 }392 data = {'prep_info': dumps(prep_info_dict),393 # magic #1 = testing study394 'study': 1,395 'data_type': '16S'}396 pid = self.qclient.post('/apitest/prep_template/', data=data)['prep']397 # inserting artifacts398 data = {399 'filepaths': dumps([(fp, 'preprocessed_demux')]),400 'type': "Demultiplexed",401 'name': "New demultiplexed artifact",402 'prep': pid}403 aid = self.qclient.post('/apitest/artifact/', data=data)['artifact']404 self.params['Demultiplexed sequences'] = aid405 data = {'user': 'demo@microbio.me',406 'command': dumps(['deblur', '2021.09', 'Deblur 2021.09']),407 'status': 'running',408 'parameters': dumps(self.params)}409 jid = self.qclient.post('/apitest/processing_job/', data=data)['job']410 out_dir = mkdtemp()411 self._clean_up_files.append(out_dir)412 # pre-populate archive with fragment placements413 self.qclient.patch(url="/qiita_db/archive/observations/",414 op="add", path=jid,415 value=dumps(self.features))416 # create a fake guppy binary that will always fail417 fp_fake_guppy = join(out_dir, 'guppy')418 with open(fp_fake_guppy, 'w') as f:419 f.write('#!/bin/bash\nexit 123\n')420 chmod(fp_fake_guppy, 0o775)421 environ['PATH'] = '%s:%s' % (out_dir, self.oldpath)422 success, ainfo, msg = deblur(self.qclient, jid, self.params, out_dir)423 self.assertFalse(success)424 self.assertEqual(ainfo, None)425 self.assertIn('Error running guppy', msg)426 def test_deblur_keyerror(self):427 # generating filepaths428 fd, fp = mkstemp(suffix='_seqs.demux')429 close(fd)430 self._clean_up_files.append(fp)431 copyfile('support_files/filtered_5_seqs.demux', fp)432 # inserting new prep template433 prep_info_dict = {434 'SKB7.640196': {435 'description_prep': 'SKB7', 'platform': 'Illumina'},436 'SKB8.640193': {437 'description_prep': 'SKB8', 'platform': 'Illumina'}438 }439 data = {'prep_info': dumps(prep_info_dict),440 # magic #1 = testing study441 'study': 1,442 'data_type': '16S'}443 pid = self.qclient.post('/apitest/prep_template/', data=data)['prep']444 # inserting artifacts445 data = {446 'filepaths': dumps([(fp, 'preprocessed_demux')]),447 'type': "Demultiplexed",448 'name': "New demultiplexed artifact",449 'prep': pid}450 aid = self.qclient.post('/apitest/artifact/', data=data)['artifact']451 self.params['Demultiplexed sequences'] = aid452 data = {'user': 'demo@microbio.me',453 'command': dumps(['deblur', '2021.09', 'Deblur 2021.09']),454 'status': 'running',455 'parameters': dumps(self.params)}456 jid = self.qclient.post('/apitest/processing_job/', data=data)['job']457 out_dir = mkdtemp()458 self._clean_up_files.append(out_dir)459 # pre-populate archive with fragment placements460 # make sure that at least one sequence got no placements via SEPP461 self.features[('TACGGAGGGTGCAAGCGTTATCCGGATTCACTGGGTTTAAAGGGTGCGTAGGT'462 'GGGTTGGTAAGTCAGTGGTGAAATCTCCGGGCTTAACTCGGAAACTG')] = ''463 self.qclient.patch(url="/qiita_db/archive/observations/",464 op="add", path=jid,465 value=dumps(self.features))466 success, ainfo, msg = deblur(self.qclient, jid, self.params, out_dir)467 self.assertEqual("", msg)468 self.assertTrue(success)469class deblurTests_binaryfail(PluginTestCase):470 def setUp(self):471 # this will allow us to see the full errors472 self.maxDiff = None473 plugin("https://localhost:8383", 'register', 'ignored')474 self.params = {475 'Positive filtering database': 'default',476 'Negative filtering database': 'default',477 'Mean per nucleotide error rate': 0.005,478 'Error probabilities for each Hamming distance': (479 '1, 0.06, 0.02, 0.02, 0.01, 0.005, 0.005, '480 '0.005, 0.001, 0.001, 0.001, 0.0005'),481 'Insertion/deletion (indel) probability': 0.01,482 'Maximum number of insertion/deletion (indel)': 3,483 'Sequence trim length (-1 for no trimming)': 100,484 'Minimum dataset-wide read threshold': 0,485 'Minimum per-sample read threshold': 2,486 'Threads per sample': 1, 'Jobs to start': 1,487 'Reference phylogeny for SEPP': 'Greengenes_13.8'}488 self._clean_up_files = []489 # saving current value of PATH490 self.oldpath = environ['PATH']491 def tearDown(self):492 # restore eventually changed PATH env var493 environ['PATH'] = self.oldpath494 for fp in self._clean_up_files:495 if exists(fp):496 if isdir(fp):497 rmtree(fp)498 else:499 remove(fp)500 def test_deblur_failing_sepp(self):501 # generating filepaths502 fd, fp = mkstemp(suffix='_seqs.demux')503 close(fd)504 self._clean_up_files.append(fp)505 copyfile('support_files/filtered_5_seqs.demux', fp)506 # inserting new prep template507 prep_info_dict = {508 'SKB7.640196': {509 'description_prep': 'SKB7', 'platform': 'Illumina'},510 'SKB8.640193': {511 'description_prep': 'SKB8', 'platform': 'Illumina'}512 }513 data = {'prep_info': dumps(prep_info_dict),514 # magic #1 = testing study515 'study': 1,516 'data_type': '16S'}517 pid = self.qclient.post('/apitest/prep_template/', data=data)['prep']518 # inserting artifacts519 data = {520 'filepaths': dumps([(fp, 'preprocessed_demux')]),521 'type': "Demultiplexed",522 'name': "New demultiplexed artifact",523 'prep': pid}524 aid = self.qclient.post('/apitest/artifact/', data=data)['artifact']525 self.params['Demultiplexed sequences'] = aid526 data = {'user': 'demo@microbio.me',527 'command': dumps(['deblur', '2021.09', 'Deblur 2021.09']),528 'status': 'running',529 'parameters': dumps(self.params)}530 jid = self.qclient.post('/apitest/processing_job/', data=data)['job']531 out_dir = mkdtemp()532 self._clean_up_files.append(out_dir)533 # create a fake sepp binary that will always fail534 fp_fake_sepp = join(out_dir, 'run-sepp.sh')535 with open(fp_fake_sepp, 'w') as f:536 f.write('#!/bin/bash\nexit 123\n')537 chmod(fp_fake_sepp, 0o775)538 environ['PATH'] = '%s:%s' % (out_dir, self.oldpath)539 success, ainfo, msg = deblur(self.qclient, jid, self.params, out_dir)540 self.assertFalse(success)541 self.assertEqual(ainfo, None)542 self.assertIn('Error running run-sepp.sh', msg)543if __name__ == '__main__':...
test_util.py
Source:test_util.py
1# -----------------------------------------------------------------------------2# Copyright (c) 2014--, The Qiita Development Team.3#4# Distributed under the terms of the BSD 3-clause License.5#6# The full license is in the file LICENSE, distributed with this software.7# -----------------------------------------------------------------------------8from unittest import TestCase, main9from os import getcwd, close, remove10from os.path import exists, isdir11from shutil import rmtree12from tempfile import mkstemp13from qiita_client.util import system_call, get_sample_names_by_run_prefix14class UtilTests(TestCase):15 def setUp(self):16 self._clean_up_files = []17 def tearDown(self):18 for fp in self._clean_up_files:19 if exists(fp):20 if isdir(fp):21 rmtree(fp)22 else:23 remove(fp)24 def test_system_call(self):25 obs_out, obs_err, obs_val = system_call("pwd")26 self.assertEqual(obs_out, "%s\n" % getcwd())27 self.assertEqual(obs_err, "")28 self.assertEqual(obs_val, 0)29 def test_system_call_error(self):30 obs_out, obs_err, obs_val = system_call("IHopeThisCommandDoesNotExist")31 self.assertEqual(obs_out, "")32 self.assertTrue("not found" in obs_err)33 self.assertEqual(obs_val, 127)34 def test_get_sample_names_by_run_prefix(self):35 fd, fp = mkstemp()36 close(fd)37 with open(fp, 'w') as f:38 f.write(MAPPING_FILE)39 self._clean_up_files.append(fp)40 obs = get_sample_names_by_run_prefix(fp)41 exp = {'s3': 'SKB7.640196', 's2': 'SKD8.640184', 's1': 'SKB8.640193'}42 self.assertEqual(obs, exp)43 def test_get_sample_names_by_run_prefix_error(self):44 fd, fp = mkstemp()45 close(fd)46 with open(fp, 'w') as f:47 f.write(MAPPING_FILE_2)48 self._clean_up_files.append(fp)49 with self.assertRaises(ValueError):50 get_sample_names_by_run_prefix(fp)51MAPPING_FILE = (52 "#SampleID\tplatform\tbarcode\texperiment_design_description\t"53 "library_construction_protocol\tcenter_name\tprimer\trun_prefix\t"54 "instrument_model\tDescription\n"55 "SKB7.640196\tILLUMINA\tA\tA\tA\tANL\tA\ts3\tIllumina MiSeq\tdesc1\n"56 "SKB8.640193\tILLUMINA\tA\tA\tA\tANL\tA\ts1\tIllumina MiSeq\tdesc2\n"57 "SKD8.640184\tILLUMINA\tA\tA\tA\tANL\tA\ts2\tIllumina MiSeq\tdesc3\n"58)59MAPPING_FILE_2 = (60 "#SampleID\tplatform\tbarcode\texperiment_design_description\t"61 "library_construction_protocol\tcenter_name\tprimer\t"62 "run_prefix\tinstrument_model\tDescription\n"63 "SKB7.640196\tILLUMINA\tA\tA\tA\tANL\tA\ts3\tIllumina MiSeq\tdesc1\n"64 "SKB8.640193\tILLUMINA\tA\tA\tA\tANL\tA\ts1\tIllumina MiSeq\tdesc2\n"65 "SKD8.640184\tILLUMINA\tA\tA\tA\tANL\tA\ts1\tIllumina MiSeq\tdesc3\n"66)67if __name__ == '__main__':...
test_saver.py
Source:test_saver.py
...3import glob4from subprocess import call5def test_saves_a_new_bi_season():6 season_name = "saver_test_1_season"7 _clean_up_files(season_name)8 _save_new_bisexual_season(season_name)9 assert (_files_are_present(season_name))10 _clean_up_files(season_name)11def test_saves_a_new_straight_season():12 season_name = "saver_test_2_season"13 _clean_up_files(season_name)14 _save_new_straight_season(season_name)15 assert (_files_are_present(season_name))16 _clean_up_files(season_name)17def test_saves_latest_results_of_bi_season():18 season_name = "bisexual_season_updater_1"19 _clean_up_files(season_name)20 _save_new_bisexual_season(season_name)21 updated_season = BisexualSeason(contestants=['A', 'B', 'C', 'D'],22 season_name=season_name,23 scenarios=[{('A', 'B'), ('C', 'D')}])24 Saver(updated_season).save()25 assert (_files_are_present(season_name, week=1))26 _clean_up_files(season_name)27def test_saves_latest_results_of_straight_season():28 season_name = "straight_season_updater_1"29 _clean_up_files(season_name)30 _save_new_straight_season(season_name)31 updated_season = StraightSeason(women=['A', 'B'],32 men=['C', 'D'],33 season_name=season_name,34 scenarios=[{('A', 'B'), ('C', 'D')}])35 Saver(updated_season).save()36 assert (_files_are_present(season_name, week=1))37 _clean_up_files(season_name)38def _files_are_present(season_name, week=0):39 week_files = _count_files_matching(season_name, "week{0}.csv".format(week))40 contestant_files = _count_files_matching(season_name, 'contestants.txt')41 men_files = _count_files_matching(season_name, 'men.txt')42 women_files = _count_files_matching(season_name, 'women.txt')43 return week_files == 1 and (contestant_files == 1 or (men_files == 1 and women_files == 1))44def _count_files_matching(season_name, file):45 return len(glob.glob('{0}/{1}'.format(season_name, file)))46def _save_new_bisexual_season(season_name):47 season = BisexualSeason(48 contestants=['A', 'B', 'C', 'D'],49 season_name = season_name,50 scenarios=[{('A', 'B'), ('C', 'D')}, {('A', 'C'), ('B', 'D')}])51 Saver(season).save()52def _clean_up_files(season_name):53 call(['rm', '-rf', season_name])54 assert not _files_are_present(season_name)55def _save_new_straight_season(season_name):56 season = StraightSeason(57 women=['A', 'B'],58 men=['C', 'D'],59 season_name=season_name,60 scenarios=[{('A', 'B'), ('C', 'D')}, {('A', 'D'), ('C', 'B')}])61 saver = Saver(season)...
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