def test_smasher_job(self):
for accession_code in SMASHER_EXPERIMENTS:
purge_experiment(accession_code)
prepare_computed_files()
# The API sometimes takes a bit to come back up.
start_time = timezone.now()
while True:
try:
pyrefinebio.create_token(agree_to_terms=True, save_token=False)
break
except pyrefinebio.ServerError:
if timezone.now() - start_time > timedelta(minutes=15):
raise AssertionError("Server not up after 15 minutes")
else:
sleep(30)
dataset_path = "end_to_end_test_dataset"
pyrefinebio.download_dataset(
dataset_path,
"*****@*****.**",
dataset_dict={
"GSE1487313": ["GSM1487313"],
"SRP332914": ["SRR332914"]
},
timeout=timedelta(minutes=15),
prompt=False,
)
self.assertTrue(path.exists(dataset_path))
def test_all_the_things(self):
for accession_code in EXPERIMENT_ACCESSION_CODES:
purge_experiment(accession_code)
self.process_experiments()
self.check_transcriptome_index()
self.create_qn_reference()
self.create_compendia()
def test_no_op(self):
"""Survey, download, then process an experiment we know is NO_OP."""
# Clear out pre-existing work dirs so there's no conflicts:
self.env = EnvironmentVarGuard()
self.env.set('RUNING_IN_CLOUD', 'False')
with self.env:
for work_dir in glob.glob(LOCAL_ROOT_DIR + "/processor_job_*"):
shutil.rmtree(work_dir)
# Make sure there are no already existing jobs we might poll for unsuccessfully.
DownloaderJobOriginalFileAssociation.objects.all().delete()
DownloaderJob.objects.all().delete()
ProcessorJobOriginalFileAssociation.objects.all().delete()
ProcessorJob.objects.all().delete()
# Prevent a call being made to NCBI's API to determine
# organism name/id.
organism = Organism(name="HOMO_SAPIENS",
taxonomy_id=9606,
is_scientific_name=True)
organism.save()
accession_code = "E-GEOD-3303"
survey_job = surveyor.survey_experiment(accession_code,
"ARRAY_EXPRESS")
self.assertTrue(survey_job.success)
downloader_jobs = DownloaderJob.objects.all()
self.assertGreater(downloader_jobs.count(), 0)
logger.info(
"Survey Job finished, waiting for Downloader Jobs to complete."
)
start_time = timezone.now()
for downloader_job in downloader_jobs:
downloader_job = wait_for_job(downloader_job, DownloaderJob,
start_time)
self.assertTrue(downloader_job.success)
processor_jobs = ProcessorJob.objects.all()
self.assertGreater(processor_jobs.count(), 0)
logger.info(
"Downloader Jobs finished, waiting for processor Jobs to complete."
)
start_time = timezone.now()
for processor_job in processor_jobs:
processor_job = wait_for_job(processor_job, ProcessorJob,
start_time)
self.assertTrue(processor_job.success)
# Test that the unsurveyor deletes all objects related to the experiment
purge_experiment(accession_code)
self.assertEqual(Experiment.objects.all().count(), 0)
self.assertEqual(ExperimentAnnotation.objects.all().count(), 0)
self.assertEqual(ExperimentSampleAssociation.objects.all().count(),
0)
self.assertEqual(Sample.objects.all().count(), 0)
self.assertEqual(SampleAnnotation.objects.all().count(), 0)
self.assertEqual(OriginalFile.objects.all().count(), 0)
self.assertEqual(
OriginalFileSampleAssociation.objects.all().count(), 0)
self.assertEqual(SampleResultAssociation.objects.all().count(), 0)
self.assertEqual(ComputationalResult.objects.all().count(), 0)
self.assertEqual(
ComputationalResultAnnotation.objects.all().count(), 0)
self.assertEqual(
SampleComputedFileAssociation.objects.all().count(), 0)
self.assertEqual(ComputedFile.objects.all().count(), 0)
self.assertEqual(DownloaderJob.objects.all().count(), 0)
self.assertEqual(
DownloaderJobOriginalFileAssociation.objects.all().count(), 0)
self.assertEqual(ProcessorJob.objects.all().count(), 0)
self.assertEqual(
ProcessorJobOriginalFileAssociation.objects.all().count(), 0)
def handle(self, *args, **options):
"""Re-surveys GEO experiments containing samples with incorrect platform information.
"""
# Check against CDF corrected accessions table to prevent recorrection of the same samples.
corrected_experiments = CdfCorrectedAccession.objects.all().values(
"accession_code")
gse_experiments = Experiment.objects.filter(
source_database="GEO").exclude(
accession_code__in=corrected_experiments)
paginator = Paginator(gse_experiments, PAGE_SIZE)
page = paginator.page()
while True:
for experiment in page.object_list:
try:
gse = GEOparse.get_GEO(experiment.accession_code,
destdir=GEO_TEMP_DIR,
how="brief",
silent=True)
sample_accessions = list(gse.gsms.keys())
samples = Sample.objects.filter(
accession_code__in=sample_accessions)
wrong_platform = False
for sample in samples:
gpl = gse.gsms[
sample.accession_code].metadata["platform_id"][0]
internal_accession = get_internal_microarray_accession(
gpl)
if internal_accession != sample.platform_accession_code:
wrong_platform = True
break
if wrong_platform:
if options["dry_run"]:
logger.info(
"Would have re-surveyed experiment with accession code %s",
experiment.accession_code,
)
else:
logger.info(
"Re-surveying experiment with accession code %s",
experiment.accession_code,
)
purge_experiment(experiment.accession_code)
queue_surveyor_for_accession(
experiment.accession_code)
current_time = timezone.now()
CdfCorrectedAccession(
accession_code=experiment.accession_code,
created_at=current_time).save()
except Exception:
logger.exception("Caught an exception with %s!",
experiment.accession_code)
finally:
# GEOparse downloads files here and never cleans them up! Grrrr!
download_path = GEO_TEMP_DIR + experiment.accession_code + "_family.soft.gz"
# It's not a directory, but ignore_errors is useful.
try:
os.remove(download_path)
except Exception:
# Don't anything interrupt this, like say,
# GEOParse downloading a directory instead of
# a file...
logger.exception("Failed to delete an archive.")
if not page.has_next():
break
page = paginator.page(page.next_page_number())
def test_geo_survey_microarray(self, mock_send_task):
"""Test that the unsurveyor works correctly.
This includes not deleting samples which also belong to other
experiments. Therefore we survey a superseries and one of its
sub-experiments, then delete the superseries to make sure the
sub-experiment wasn't touched.
We mock out the send_job function so that we don't actually
process these. The unsurveyor code related to ComputedFile,
ComputationalResult, and ProcessorJobs won't be tested by
this, but it's been functionally tested.
"""
superseries_accession = "GSE59795"
sub_experiment_accession = "GSE46580"
# Survey the superseries.
survey_job = SurveyJob(source_type="GEO")
survey_job.save()
key_value_pair = SurveyJobKeyValue(survey_job=survey_job,
key="experiment_accession_code",
value=superseries_accession)
key_value_pair.save()
geo_surveyor = GeoSurveyor(survey_job)
geo_surveyor.survey()
# Survey the sub-experiment
survey_job = SurveyJob(source_type="GEO")
survey_job.save()
key_value_pair = SurveyJobKeyValue(survey_job=survey_job,
key="experiment_accession_code",
value=sub_experiment_accession)
key_value_pair.save()
geo_surveyor = GeoSurveyor(survey_job)
geo_surveyor.survey()
# Establish baselines before purge
experiment = Experiment.objects.filter(accession_code=sub_experiment_accession)[0]
experiment_sample_assocs = ExperimentSampleAssociation.objects.filter(experiment=experiment)
samples = Sample.objects.filter(id__in=experiment_sample_assocs.values('sample_id'))
self.assertEqual(samples.count(), 4)
og_file_sample_assocs = OriginalFileSampleAssociation.objects.filter(sample_id__in=samples.values('id'))
original_files = OriginalFile.objects.filter(id__in=og_file_sample_assocs.values('original_file_id'))
self.assertEqual(original_files.count(), 4)
experiment = Experiment.objects.filter(accession_code=superseries_accession)[0]
experiment_sample_assocs = ExperimentSampleAssociation.objects.filter(experiment=experiment)
samples = Sample.objects.filter(id__in=experiment_sample_assocs.values('sample_id'))
self.assertEqual(samples.count(), 20)
og_file_sample_assocs = OriginalFileSampleAssociation.objects.filter(sample_id__in=samples.values('id'))
original_files = OriginalFile.objects.filter(id__in=og_file_sample_assocs.values('original_file_id'))
self.assertEqual(original_files.count(), 20)
# Purge the superseries
purge_experiment(superseries_accession)
# Make sure the subexperiment samples weren't affected.
experiment = Experiment.objects.filter(accession_code=sub_experiment_accession)[0]
experiment_sample_assocs = ExperimentSampleAssociation.objects.filter(experiment=experiment)
samples = Sample.objects.filter(id__in=experiment_sample_assocs.values('sample_id'))
self.assertEqual(samples.count(), 4)
# Make sure sub-experiment original files weren't affected.
og_file_sample_assocs = OriginalFileSampleAssociation.objects.filter(sample_id__in=samples.values('id'))
original_files = OriginalFile.objects.filter(id__in=og_file_sample_assocs.values('original_file_id'))
self.assertEqual(original_files.count(), 4)
# And that samples and files that remain are from the subseries.
self.assertEqual(Sample.objects.count(), 4)
self.assertEqual(OriginalFile.objects.count(), 4)
