def checkRunsPreviouslyLaunched(resultsFolder,projectId):
'''Checks for currently running jobs and will exit if found.'''
launchFilePath = resultsFolder + '/' + RUNS_LAUNCHED_FILE
launchFids = dxencode.find_file(launchFilePath,projectId,multiple=True)
if launchFids == None:
print " No prior jobs launched."
else:
# NOTE: Appending to the one file, but just in case handle multiple files.
for fid in launchFids:
with dxpy.open_dxfile(fid) as fd:
for line in fd:
#print "Looking for job ["+line+"]"
runId = line.split(None,1)
if not runId[0].startswith('analysis-'):
continue
analysis = dxpy.DXAnalysis(dxid=runId[0])
if analysis == None:
continue
state = analysis.describe()['state']
# states I have seen: in_progress, terminated, done, failed
if state not in [ "done", "failed", "terminated" ]:
msg="Exiting: Can't launch because prior run ["+runId[0]+"] "
if len(runId) > 1:
msg+="("+runId[1]+") "
msg+= "has not finished (currently '"+state+"')."
print msg
sys.exit(1)
else:
msg=" Prior run ["+runId[0]+"] "
if len(runId) > 1:
msg+="("+runId[1]+") "
msg+= "is '"+state+"'."
print msg
def checkRunsPreviouslyLaunched(resultsFolder, projectId):
'''Checks for currently running jobs and will exit if found.'''
launchFilePath = resultsFolder + '/' + RUNS_LAUNCHED_FILE
launchFids = dxencode.find_file(launchFilePath, projectId, multiple=True)
if launchFids == None:
print " No prior jobs launched."
else:
# NOTE: Appending to the one file, but just in case handle multiple files.
for fid in launchFids:
with dxpy.open_dxfile(fid) as fd:
for line in fd:
#print "Looking for job ["+line+"]"
runId = line.split(None, 1)
if not runId[0].startswith('analysis-'):
continue
analysis = dxpy.DXAnalysis(dxid=runId[0])
if analysis == None:
continue
state = analysis.describe()['state']
# states I have seen: in_progress, terminated, done, failed
if state not in ["done", "failed", "terminated"]:
msg = "Exiting: Can't launch because prior run [" + runId[
0] + "] "
if len(runId) > 1:
msg += "(" + runId[1] + ") "
msg += "has not finished (currently '" + state + "')."
print msg
sys.exit(1)
else:
msg = " Prior run [" + runId[0] + "] "
if len(runId) > 1:
msg += "(" + runId[1] + ") "
msg += "is '" + state + "'."
print msg
def parse_map_report(folder, project):
mapreport = "/*_bismark_map_report.txt"
report_link = dxencode.find_file(folder + mapreport,
project.get_id(),
recurse=False)
metrics = {}
res = {}
for lab in labels:
res[lab] = re.compile("(%s):\s+(.+)" % lab)
try:
with dxpy.open_dxfile(report_link) as rfd:
for line in rfd:
m = False
for metric in res.values():
m = metric.match(line)
if m:
metrics.update({m.group(1): m.group(2).strip()})
continue
except Exception, e:
print "ERROR: Could not read Bismark mapping report in %s (%s) \n%s" % (
folder, report_link, e)
def test_file_context_manager(self):
with dxpy.new_dxfile(mode='w') as self.dxfile:
file_id = self.dxfile.get_id()
self.dxfile.write("Haha")
file2 = dxpy.open_dxfile(file_id)
state = file2._get_state()
self.assertTrue(state in ['closing', 'closed'])
file2._wait_on_close()
self.assertEqual(file2.describe()["size"], 4)
def test_iter_dxfile(self):
dxid = ""
with dxpy.new_dxfile() as self.dxfile:
dxid = self.dxfile.get_id()
self.dxfile.write("Line 1\nLine 2\nLine 3\n")
with dxpy.open_dxfile(dxid) as same_dxfile:
same_dxfile.wait_on_close()
self.assertTrue(same_dxfile.closed())
lineno = 1
for line in same_dxfile:
self.assertEqual(line, "Line " + str(lineno))
lineno += 1
def logThisRun(runId,resultsFolder,projectId):
'''Adds a runId to the runsLaunched file in resultsFolder.'''
# NOTE: DX manual lies?! Append not possible?! Then write new/delete old
launchFilePath = resultsFolder + '/' + RUNS_LAUNCHED_FILE
oldFid = dxencode.find_file(launchFilePath,projectId)
newFh = dxpy.new_dxfile('a',project=projectId,folder=resultsFolder,name=RUNS_LAUNCHED_FILE)
newFh.write(runId+' started:'+str(datetime.now())+'\n')
if oldFid is not None:
with dxpy.open_dxfile(oldFid) as oldFh:
for oldRunId in oldFh:
newFh.write(oldRunId+'\n')
proj = dxpy.DXProject(projectId)
proj.remove_objects([oldFid])
newFh.close()
def get_barcode_stats(self, barcode):
"""
Loads the JSON in a ${barcode}_stats.json file in the DNAnexus project (usually in the qc
folder).
"""
filename = barcode + "_stats.json"
# In the call to dxpy.find_one_data_object() below, I'd normally set the
# more_ok parameter to False, but this blows-up in Python 3.7 - giving me a RuntimeError.
# So, I just won't set it for now. I think dxpy is still mainly a Python 2.7 library and
# can break in later version of Python3.
file_id = dxpy.find_one_data_object(zero_ok=False,
project=self.dx_project_id,
name=filename)["id"]
json_data = json.loads(dxpy.open_dxfile(file_id).read())
return json_data
def logThisRun(runId, resultsFolder, projectId):
'''Adds a runId to the runsLaunched file in resultsFolder.'''
# NOTE: DX manual lies?! Append not possible?! Then write new/delete old
launchFilePath = resultsFolder + '/' + RUNS_LAUNCHED_FILE
oldFid = dxencode.find_file(launchFilePath, projectId)
newFh = dxpy.new_dxfile('a',
project=projectId,
folder=resultsFolder,
name=RUNS_LAUNCHED_FILE)
newFh.write(runId + ' started:' + str(datetime.now()) + '\n')
if oldFid is not None:
with dxpy.open_dxfile(oldFid) as oldFh:
for oldRunId in oldFh:
newFh.write(oldRunId + '\n')
proj = dxpy.DXProject(projectId)
proj.remove_objects([oldFid])
newFh.close()
def get_fastqc(accession, project):
summary_fn = accession+"_summary.txt"
report_fn = accession+"_data.txt"
summary_link = dxencode.find_file(summary_fn, project.get_id())
report_link = dxencode.find_file(report_fn, project.get_id())
metrics = {}
try:
with dxpy.open_dxfile(report_link) as rfd:
total = re.compile('Total Sequences\s+(\d+)')
for line in rfd:
m = total.match(line)
if m:
metrics.update({ 'Total Sequences': m.group(1) })
except Exception, e:
print "ERROR: Could not read FastQC summary: %s (%s) \n%s" % (summary_fn, summary_link, e)
metrics.update({'Total Sequences': -999.999 })
def get_run_details_json(self):
"""
Retrieves the JSON object for the stats in the file named run_details.json in the project
specified by self.dx_project_id.
Returns:
JSON object of the run details.
"""
run_details_filename = "run_details.json"
run_details_json_id = dxpy.find_one_data_object(
more_ok=False,
zero_ok=True,
project=self.dx_project_id,
name=run_details_filename)["id"]
json_data = json.loads(
dxpy.open_dxfile(dxid=run_details_json_id).read())
#dxpy.download_dxfile(show_progress=True,dxid=run_details_json_id,project=self.dx_project_id,filename=output_name)
return json_data
def test_write_read_dxfile(self):
dxid = ""
with dxpy.new_dxfile() as self.dxfile:
dxid = self.dxfile.get_id()
self.dxfile.write(self.foo_str)
with dxpy.open_dxfile(dxid) as same_dxfile:
same_dxfile.wait_on_close()
self.assertTrue(same_dxfile.closed())
buf = same_dxfile.read(len(self.foo_str))
self.assertEqual(self.foo_str, buf)
buf = same_dxfile.read()
self.assertEqual(len(buf), 0)
same_dxfile.seek(1)
buf = same_dxfile.read()
self.assertEqual(self.foo_str[1:], buf)
def get_sample_stats_json(self, barcode=None):
"""
.. deprecated:: 0.1.0
GSSC has removed the sample_stats.json file since the entire folder it was in has been
removed. Use :meth:`get_barcode_stats` instead.
Retrieves the JSON object for the stats in the file named sample_stats.json in the project
specified by self.dx_project_id. This file is located in the DNAnexus folder stage\d_qc_report.
Args:
barcode: `str`. The barcode for the sample. Currently, the sample_stats.json file is of the
following form when there isn't a genome mapping:
[{"Sample name": "AGTTCC"}, {"Sample name": "CAGATC"}, {"Sample name": "GCCAAT"}, ...}].
When there is a mapping, each dictionary has many more keys in addition to the "Sample name" one.
Returns:
`list` of dicts if barcode=None, otherwise a dict for the given barcode.
"""
sample_stats_json_filename = "sample_stats.json"
sample_stats_json_id = dxpy.find_one_data_object(
more_ok=False,
zero_ok=False,
project=self.dx_project_id,
name=sample_stats_json_filename)["id"]
#dxpy.download_dxfile(dxid=sample_stats_json_id,project=self.dx_project_id,filename=sample_stats_json_filename)
json_data = json.loads(dxpy.open_dxfile(sample_stats_json_id).read())
if not barcode:
return json_data
for d in json_data: #d is a dictionary
sample_barcode = d["Sample name"]
if sample_barcode == barcode:
return d
if barcode:
raise DnanexusBarcodeNotFound(
"Barcode {barcode} for {library_name} not found in {sample_stats_json_filename} in project {project}."
.format(barcode=barcode,
library_name=self.library_name,
sample_stats_json_filename=sample_stats_json_filename,
project=self.dx_project_id))
def parse_map_report(folder, project):
mapreport = "/*_bismark_map_report.txt"
report_link = dxencode.find_file(folder + mapreport, project.get_id(), recurse=False)
metrics = {}
res = {}
for lab in labels:
res[lab] = re.compile("(%s):\s+(.+)" % lab)
try:
with dxpy.open_dxfile(report_link) as rfd:
for line in rfd:
m = False
for metric in res.values():
m = metric.match(line)
if m:
metrics.update({m.group(1): m.group(2).strip()})
continue
except Exception, e:
print "ERROR: Could not read Bismark mapping report in %s (%s) \n%s" % (folder, report_link, e)
def get_alignment_summary_metrics(self, barcode):
"""
Parses the metrics in a ${barcode}alignment_summary_metrics file in the DNAnexus project
(usually in the qc folder). This contains metrics produced by Picard Tools's
CollectAlignmentSummaryMetrics program.
"""
filename = barcode + ".alignment_summary_metrics"
# In the call to dxpy.find_one_data_object() below, I'd normally set the
# more_ok parameter to False, but this blows-up in Python 3.7 - giving me a RuntimeError.
# So, I just won't set it for now. I think dxpy is still mainly a Python 2.7 library and
# can break in later version of Python3.
try:
file_id = dxpy.find_one_data_object(zero_ok=False,
project=self.dx_project_id,
name=filename)["id"]
except dxpy.exceptions.DXSearchError as err:
msg = "Picard alignment summary metrics for barcode {} in DX project {} not found.".format(
barcode, self.dx_project_id)
debug_logger.error(msg)
raise DxMissingAlignmentSummaryMetrics(msg)
fh = StringIO(dxpy.open_dxfile(file_id).read())
asm = picard.CollectAlignmentSummaryMetrics(fh)
return asm.metrics
def main(**job_inputs):
if 'prefix' not in job_inputs:
bam_name = dxpy.describe(job_inputs['illumina_bam'])['name']
if bam_name.endswith("cram"):
prefix = bam_name[:-5]
else:
prefix = bam_name[:-4]
else:
prefix = job_inputs['prefix']
# Running Docker image
subprocess.check_call(
['mkdir', '-p', '/home/dnanexus/in', '/home/dnanexus/out'])
print "Starting Docker"
input_bam = dxpy.open_dxfile(job_inputs['illumina_bam'])
bam_name = "/home/dnanexus/in/{0}".format(input_bam.name)
dxpy.download_dxfile(input_bam, bam_name)
ref_genome = dxpy.open_dxfile(job_inputs['ref_fasta'])
ref_name = "/home/dnanexus/in/{0}".format(ref_genome.name)
dxpy.download_dxfile(ref_genome, ref_name)
docker_call = [
'dx-docker', 'run', '-v', '/home/dnanexus/in/:/home/dnanexus/in/',
'-v', '/home/dnanexus/out/:/home/dnanexus/out/', 'parliament2',
'--bam', bam_name, '-r', ref_name, '--prefix',
str(prefix)
]
if 'illumina_bai' in job_inputs:
input_bai = dxpy.open_dxfile(job_inputs['illumina_bai'])
bai_name = "/home/dnanexus/in/{0}".format(input_bai.name)
dxpy.download_dxfile(input_bai, bai_name)
docker_call.extend(['--bai', bai_name])
if job_inputs['filter_short_contigs']:
docker_call.append('--filter_short_contigs')
if job_inputs['run_breakdancer']:
docker_call.append('--breakdancer')
if job_inputs['run_breakseq']:
docker_call.append('--breakseq')
if job_inputs['run_manta']:
docker_call.append('--manta')
if job_inputs['run_cnvnator']:
docker_call.append('--cnvnator')
if job_inputs['run_lumpy']:
docker_call.append('--lumpy')
if job_inputs['run_delly_inversion']:
docker_call.append('--delly_inversion')
if job_inputs['run_delly_insertion']:
docker_call.append('--delly_insertion')
if job_inputs['run_delly_deletion']:
docker_call.append('--delly_deletion')
if job_inputs['run_delly_duplication']:
docker_call.append('--delly_duplication')
if job_inputs['run_genotype_candidates']:
docker_call.append('--genotype')
if job_inputs['run_svviz']:
docker_call.append('--svviz')
if job_inputs['svviz_only_validated_candidates']:
docker_call.append('--svviz_only_validated_candidates')
subprocess.check_call(docker_call)
print "Docker image finished"
sv_caller_results_names = glob.glob(
'/home/dnanexus/out/sv_caller_results/*')
sv_caller_results_upload = []
for name in sv_caller_results_names:
sv_caller_results_upload.append(
dxpy.dxlink(dxpy.upload_local_file(name)))
output = {'sv_caller_results': sv_caller_results_upload}
subprocess.check_call(['ls', '-sh', '/home/dnanexus/out/svtyped_vcfs/'])
if job_inputs['output_log_files'] and os.listdir(
'/home/dnanexus/out/log_files/'):
log_file_names = glob.glob('/home/dnanexus/out/log_files/*')
log_file_upload = []
for name in log_file_names:
log_file_upload.append(dxpy.dxlink(dxpy.upload_local_file(name)))
output['log_files'] = log_file_upload
if job_inputs['run_genotype_candidates']:
svtyped_vcf_names = glob.glob('/home/dnanexus/out/svtyped_vcfs/*')
svtyped_vcfs_upload = []
for name in svtyped_vcf_names:
svtyped_vcfs_upload.append(
dxpy.dxlink(dxpy.upload_local_file(name)))
output['svtyped_vcfs'] = svtyped_vcfs_upload
output['combined_genotypes'] = dxpy.dxlink(
dxpy.upload_local_file(
'/home/dnanexus/out/{0}.combined.genotyped.vcf'.format(
prefix)))
if job_inputs['run_svviz'] and os.path.isfile(
'/home/dnanexus/out/{0}.svviz_outputs.tar.gz'.format(prefix)):
output['svviz_outputs'] = dxpy.dxlink(
dxpy.upload_local_file(
'/home/dnanexus/out/{0}.svviz_outputs.tar.gz'.format(prefix)))
return output
report_link = dxencode.find_file(report_fn, project.get_id())
metrics = {}
try:
with dxpy.open_dxfile(report_link) as rfd:
total = re.compile('Total Sequences\s+(\d+)')
for line in rfd:
m = total.match(line)
if m:
metrics.update({ 'Total Sequences': m.group(1) })
except Exception, e:
print "ERROR: Could not read FastQC summary: %s (%s) \n%s" % (summary_fn, summary_link, e)
metrics.update({'Total Sequences': -999.999 })
try:
with dxpy.open_dxfile(summary_link) as sfd:
fastqc = re.compile('(PASS|FAIL|WARN)\s+(.+)\s+ENCFF')
for line in sfd:
m = fastqc.match(line)
if m:
metrics.update({ m.group(2): m.group(1) })
except Exception, e:
print "ERROR: Could not read FastQC report: %s (%s) \n%s" % (report_fn, report_link, e)
#print json.dumps(metrics)
return metrics
def get_analysis_time(accession, repstr, project):
result = list(dxpy.find_analyses(project=project, name='*'+accession+repstr+'*', name_mode='glob', describe=True, state='done'))
