def testMesosLaunch(self):
input_file_1 = Target("c39ded10-6073-11e4-9803-0800200c9a66"),
input_file_2 = Target("26fd12a2-9096-4af2-a989-9e2f1cb692fe")
doc = FileDocStore(file_path="./test_tmp/docstore")
logging.info("Adding files to object store")
sync_doc_dir("examples/simple_galaxy/",
doc,
uuid_set=[
"c39ded10-6073-11e4-9803-0800200c9a66",
"26fd12a2-9096-4af2-a989-9e2f1cb692fe"
])
task_1 = MD5Task(input_file_1)
md5_service = nebula.service.md5_service.MD5Service(doc)
sched = nebula.scheduler.Scheduler({})
mesos = nebula.drms.mesos_runner.MesosDRMS(
sched, {"mesos": "%s:%s" % (self.host_ip, CONFIG_PARENT_PORT)})
mesos.start()
mesos_md5_service = mesos.deploy_service(md5_service)
job_1 = mesos_md5_service.submit(task_1)
mesos_md5_service.wait([job_1])
print job_1
logging.info("Sleeping for 15")
time.sleep(15)
mesos.stop()
def testNebulaLaunch(self):
input = {
"input_file_1" :
Target("c39ded10-6073-11e4-9803-0800200c9a66"),
"input_file_2" :
Target("26fd12a2-9096-4af2-a989-9e2f1cb692fe")
}
parameters = {
"tail_select" : {
"lineNum" : 3
}
}
doc = FileDocStore(
file_path=get_abspath("../test_tmp/docstore")
)
logging.info("Adding files to object store")
sync_doc_dir("examples/simple_galaxy/", doc,
uuid_set=["c39ded10-6073-11e4-9803-0800200c9a66", "26fd12a2-9096-4af2-a989-9e2f1cb692fe"]
)
logging.info("Creating Task")
workflow = GalaxyWorkflow(ga_file=get_abspath("../examples/simple_galaxy/SimpleWorkflow.ga"))
task = nebula.tasks.GalaxyWorkflowTask(
"test_workflow",
workflow,
inputs=input,
parameters=parameters
)
service = GalaxyService(
docstore=doc,
name="nosetest_galaxy",
galaxy="bgruening/galaxy-stable:dev",
port=20022
)
task_path = get_abspath("../test_tmp/test.tasks")
service_path = get_abspath("../test_tmp/test.service")
taskset = TaskGroup()
taskset.append(task)
with open(task_path, "w") as handle:
taskset.store(handle)
with open(service_path, "w") as handle:
service.get_config().set_docstore_config(cache_path=get_abspath("../test_tmp/cache")).store(handle)
env = dict(os.environ)
if 'PYTHONPATH' in env:
env['PYTHONPATH'] += ":" + get_abspath("../")
else:
env['PYTHONPATH'] = get_abspath("../")
subprocess.check_call([get_abspath("../bin/nebula"), "run", service_path, task_path], env=env)
for i in doc.filter():
print json.dumps(i, indent=4)
def testNebulaLaunch(self):
input = {
"input_file_1": Target("c39ded10-6073-11e4-9803-0800200c9a66"),
"input_file_2": Target("26fd12a2-9096-4af2-a989-9e2f1cb692fe")
}
parameters = {"tail_select": {"lineNum": 3}}
doc = FileDocStore(file_path=get_abspath("../test_tmp/docstore"))
logging.info("Adding files to object store")
sync_doc_dir("examples/simple_galaxy/",
doc,
uuid_set=[
"c39ded10-6073-11e4-9803-0800200c9a66",
"26fd12a2-9096-4af2-a989-9e2f1cb692fe"
])
logging.info("Creating Task")
workflow = GalaxyWorkflow(
ga_file=get_abspath("../examples/simple_galaxy/SimpleWorkflow.ga"))
task = nebula.tasks.GalaxyWorkflowTask("test_workflow",
workflow,
inputs=input,
parameters=parameters)
service = GalaxyService(docstore=doc,
name="nosetest_galaxy",
galaxy="bgruening/galaxy-stable:dev",
port=20022)
task_path = get_abspath("../test_tmp/test.tasks")
service_path = get_abspath("../test_tmp/test.service")
taskset = TaskGroup()
taskset.append(task)
with open(task_path, "w") as handle:
taskset.store(handle)
with open(service_path, "w") as handle:
service.get_config().set_docstore_config(
cache_path=get_abspath("../test_tmp/cache")).store(handle)
env = dict(os.environ)
if 'PYTHONPATH' in env:
env['PYTHONPATH'] += ":" + get_abspath("../")
else:
env['PYTHONPATH'] = get_abspath("../")
subprocess.check_call(
[get_abspath("../bin/nebula"), "run", service_path, task_path],
env=env)
for i in doc.filter():
print json.dumps(i, indent=4)
def testToolTagging(self):
doc = FileDocStore(file_path=get_abspath("../test_tmp/docstore"))
sync_doc_dir(get_abspath("../examples/simple_galaxy/"),
doc,
uuid_set=[
"c39ded10-6073-11e4-9803-0800200c9a66",
"26fd12a2-9096-4af2-a989-9e2f1cb692fe"
])
input_file_1 = Target(uuid="c39ded10-6073-11e4-9803-0800200c9a66")
input_file_2 = Target(uuid="26fd12a2-9096-4af2-a989-9e2f1cb692fe")
workflow = GalaxyWorkflow(
ga_file=get_abspath("../examples/simple_galaxy/SimpleWorkflow.ga"))
task_tag = nebula.tasks.GalaxyWorkflowTask(
"workflow_ok",
workflow,
inputs={
'input_file_1': input_file_1,
'input_file_2': input_file_2
},
parameters={"tail_select": {
"lineNum": 3
}},
tags=["run:testing"],
tool_tags={
"tail_select": {
"out_file1": ["file:tail"]
},
"concat_out": {
"out_file1": ["file:output"]
}
})
print "Starting Service"
service = GalaxyService(docstore=doc,
name="nosetest_galaxy",
galaxy="bgruening/galaxy-stable:dev",
force=True,
port=20022)
service.start()
self.service = service
job = service.submit(task_tag)
print "JOB", job.get_status()
service.wait([job])
self.assertIn(job.get_status(), ['ok'])
self.assertFalse(service.in_error())
print service.in_error()
def run_gen(args):
syn = synapseclient.Synapse()
syn.login()
docstore = from_url(args.out_base)
data_mapping = {
"db_snp": "dbsnp_132_b37.leftAligned.vcf",
"centromere": "centromere_hg19.bed",
"reference_genome": "Homo_sapiens_assembly19.fasta",
"cosmic": "b37_cosmic_v54_120711.vcf"
}
if args.ref_download:
syn_sync(syn, REFDATA_PROJECT, docstore, data_mapping.values())
dm = {}
for k, v in data_mapping.items():
hit = None
for a in docstore.filter(name=v):
hit = a[0]
if hit is None:
raise Exception("%s not found" % (v))
dm[k] = {"uuid": hit}
if args.sample is not None:
sync_doc_dir(os.path.join(os.path.dirname(__file__), "..",
"testexomes"),
docstore,
filter=lambda x: x['donorId'] in args.sample)
else:
sync_doc_dir(
os.path.join(os.path.dirname(__file__), "..", "testexomes"),
docstore)
tumor_uuids = {}
normal_uuids = {}
for id, ent in docstore.filter(sampleType="tumour"):
tumor_uuids[ent['participant_id']] = id
for id, ent in docstore.filter(sampleType="normal"):
normal_uuids[ent['participant_id']] = id
mc3_workflow = GalaxyWorkflow(
ga_file="workflows/Galaxy-Workflow-MC3_Pipeline_Test.ga")
reference_id = None
for a in docstore.filter(name="Homo_sapiens_assembly19.fasta"):
reference_id = a[0]
tasks = TaskGroup()
for donor in tumor_uuids:
if donor in normal_uuids:
print "participant", donor
donor_name = None
for k, v in fake_metadata.items():
if v['participant_id'] == donor:
donor_name = k
workflow_dm = dict(dm)
workflow_dm['tumor_bam'] = {"uuid": tumor_uuids[donor]}
workflow_dm['normal_bam'] = {"uuid": normal_uuids[donor]}
task = GalaxyWorkflowTask(
"workflow_%s" % (donor),
mc3_workflow,
inputs=workflow_dm,
parameters={
"reheader_config": {
"platform":
"Illumina",
"center":
"OHSU",
"reference_genome":
"Homo_sapiens_assembly19.fasta",
"participant_uuid":
fake_metadata[donor_name]['participant_id'],
"disease_code":
fake_metadata[donor_name]['disease'],
"filedate":
datetime.datetime.now().strftime("%Y%m%d"),
"normal_analysis_uuid":
fake_metadata[donor_name]['normal']['uuid'],
"normal_bam_name":
fake_metadata[donor_name]['normal']['file_name'],
"normal_aliquot_uuid":
fake_metadata[donor_name]['normal']['aliquot_id'],
"normal_aliquot_barcode":
fake_metadata[donor_name]['normal']['barcode'],
"tumor_analysis_uuid":
fake_metadata[donor_name]['tumour']['uuid'],
"tumor_bam_name":
fake_metadata[donor_name]['tumour']['file_name'],
"tumor_aliquot_uuid":
fake_metadata[donor_name]['tumour']['aliquot_id'],
"tumor_aliquot_barcode":
fake_metadata[donor_name]['tumour']['barcode'],
}
},
tags=["donor:%s" % (donor)],
)
tasks.append(task)
if not os.path.exists("%s.tasks" % (args.out_base)):
os.mkdir("%s.tasks" % (args.out_base))
for data in tasks:
with open("%s.tasks/%s" % (args.out_base, data.task_id),
"w") as handle:
handle.write(json.dumps(data.to_dict()))
if args.create_service:
service = GalaxyService(docstore=docstore,
galaxy=args.galaxy,
sudo=args.sudo,
tool_data=args.tool_data,
tool_dir=args.tool_dir,
work_dir=args.work_dir,
smp=[["gatk_bqsr", 12], ["gatk_indel", 24],
["MuSE", 8], ["pindel", 8], ["mutect", 8],
["delly", 4], ["gatk_bqsr", 12],
["gatk_indel", 12], ["bwa_mem", 12],
["radia", 8], ['radia_filter', 8]])
with open("%s.service" % (args.out_base), "w") as handle:
s = service.get_config()
if args.scratch:
print "Using scratch", args.scratch
s.set_docstore_config(cache_path=args.scratch, open_perms=True)
s.store(handle)
def run_gen(args):
syn = synapseclient.Synapse()
syn.login()
docstore = from_url(args.out_base)
data_mapping = {
"db_snp" : "dbsnp_132_b37.leftAligned.vcf",
"centromere" : "centromere_hg19.bed",
"reference_genome" : "Homo_sapiens_assembly19.fasta",
"cosmic" : "b37_cosmic_v54_120711.vcf"
}
if args.ref_download:
syn_sync(syn, REFDATA_PROJECT, docstore, data_mapping.values())
dm = {}
for k,v in data_mapping.items():
hit = None
for a in docstore.filter(name=v):
hit = a[0]
if hit is None:
raise Exception("%s not found" % (v))
dm[k] = { "uuid" : hit }
if args.sample is not None:
sync_doc_dir(
os.path.join( os.path.dirname(__file__), "..", "testexomes" ), docstore,
filter=lambda x: x['donorId'] in args.sample
)
else:
sync_doc_dir( os.path.join( os.path.dirname(__file__), "..", "testexomes" ), docstore)
tumor_uuids = {}
normal_uuids = {}
for id, ent in docstore.filter(sampleType="tumour"):
tumor_uuids[ent['participant_id']] = id
for id, ent in docstore.filter(sampleType="normal"):
normal_uuids[ent['participant_id']] = id
mc3_workflow = GalaxyWorkflow(ga_file="workflows/Galaxy-Workflow-MC3_Pipeline_Test.ga")
reference_id = None
for a in docstore.filter(name="Homo_sapiens_assembly19.fasta"):
reference_id = a[0]
tasks = TaskGroup()
for donor in tumor_uuids:
if donor in normal_uuids:
print "participant", donor
donor_name = None
for k,v in fake_metadata.items():
if v['participant_id'] == donor:
donor_name = k
workflow_dm = dict(dm)
workflow_dm['tumor_bam'] = { "uuid" : tumor_uuids[donor] }
workflow_dm['normal_bam'] = { "uuid" : normal_uuids[donor] }
task = GalaxyWorkflowTask("workflow_%s" % (donor),
mc3_workflow,
inputs=workflow_dm,
parameters={
"reheader_config" : {
"platform" : "Illumina",
"center" : "OHSU",
"reference_genome" : "Homo_sapiens_assembly19.fasta",
"participant_uuid" : fake_metadata[donor_name]['participant_id'],
"disease_code" : fake_metadata[donor_name]['disease'],
"filedate" : datetime.datetime.now().strftime("%Y%m%d"),
"normal_analysis_uuid" : fake_metadata[donor_name]['normal']['uuid'],
"normal_bam_name" : fake_metadata[donor_name]['normal']['file_name'],
"normal_aliquot_uuid" : fake_metadata[donor_name]['normal']['aliquot_id'],
"normal_aliquot_barcode": fake_metadata[donor_name]['normal']['barcode'],
"tumor_analysis_uuid" : fake_metadata[donor_name]['tumour']['uuid'],
"tumor_bam_name" : fake_metadata[donor_name]['tumour']['file_name'],
"tumor_aliquot_uuid" : fake_metadata[donor_name]['tumour']['aliquot_id'],
"tumor_aliquot_barcode" : fake_metadata[donor_name]['tumour']['barcode'],
}
},
tags=[ "donor:%s" % (donor) ],
)
tasks.append(task)
if not os.path.exists("%s.tasks" % (args.out_base)):
os.mkdir("%s.tasks" % (args.out_base))
for data in tasks:
with open("%s.tasks/%s" % (args.out_base, data.task_id), "w") as handle:
handle.write(json.dumps(data.to_dict()))
if args.create_service:
service = GalaxyService(
docstore=docstore,
galaxy=args.galaxy,
sudo=args.sudo,
tool_data=args.tool_data,
tool_dir=args.tool_dir,
work_dir=args.work_dir,
smp=[
["gatk_bqsr", 12],
["gatk_indel", 24],
["MuSE", 8],
["pindel", 8],
["mutect", 8],
["delly", 4],
["gatk_bqsr", 12],
["gatk_indel", 12],
["bwa_mem", 12],
["radia", 8],
['radia_filter', 8]
]
)
with open("%s.service" % (args.out_base), "w") as handle:
s = service.get_config()
if args.scratch:
print "Using scratch", args.scratch
s.set_docstore_config(cache_path=args.scratch, open_perms=True)
s.store(handle)
def testWorkflowCaching(self):
input = {
"input_file_1": Target("c39ded10-6073-11e4-9803-0800200c9a66"),
"input_file_2": Target("26fd12a2-9096-4af2-a989-9e2f1cb692fe")
}
parameters = {"tail_select": {"lineNum": 3}}
doc = nebula.docstore.FileDocStore(
get_abspath("../test_tmp/docstore"),
cache_path=get_abspath("../test_tmp/cache"))
logging.info("Adding files to object store")
sync_doc_dir(get_abspath("../examples/simple_galaxy/"),
doc,
uuid_set=[
"c39ded10-6073-11e4-9803-0800200c9a66",
"26fd12a2-9096-4af2-a989-9e2f1cb692fe"
])
logging.info("Creating Task")
workflow = GalaxyWorkflow(
ga_file=get_abspath("../examples/simple_galaxy/SimpleWorkflow.ga"))
task = nebula.tasks.GalaxyWorkflowTask("test_workflow",
workflow,
inputs=input,
parameters=parameters,
tags=["run:testing"],
tool_tags={
"tail_select": {
"out_file1":
["file:tail"]
},
"concat_out": {
"out_file1":
["file:output"]
}
})
service = GalaxyService(docstore=doc,
name="nosetest_galaxy",
galaxy="bgruening/galaxy-stable:dev",
force=True,
port=20022)
self.service = service
logging.info("Starting Service")
print "Starting service"
service.start()
self.assertFalse(service.in_error())
logging.info("Starting Tasks")
job = service.submit(task)
self.assertTrue(isinstance(job, TaskJob))
self.assertFalse(service.in_error())
#logging.info("Waiting")
service.wait([job])
found = False
for id, info in doc.filter(tags="file:output"):
logging.info("Found result object: %s size: %d" %
(id, doc.size(info)))
self.assertTrue(doc.size(info) > 0)
found = True
self.assertTrue(found)
self.assertFalse(service.in_error())
self.assertIn(job.get_status(), ['ok'])
def testWorkflowCaching(self):
input = {
"input_file_1" : Target("c39ded10-6073-11e4-9803-0800200c9a66"),
"input_file_2" : Target("26fd12a2-9096-4af2-a989-9e2f1cb692fe")
}
parameters = {
"tail_select" : {
"lineNum" : 3
}
}
doc = nebula.docstore.FileDocStore(
get_abspath("../test_tmp/docstore"),
cache_path=get_abspath("../test_tmp/cache")
)
logging.info("Adding files to object store")
sync_doc_dir(get_abspath("../examples/simple_galaxy/"), doc,
uuid_set=["c39ded10-6073-11e4-9803-0800200c9a66", "26fd12a2-9096-4af2-a989-9e2f1cb692fe"]
)
logging.info("Creating Task")
workflow = GalaxyWorkflow(ga_file=get_abspath("../examples/simple_galaxy/SimpleWorkflow.ga"))
task = nebula.tasks.GalaxyWorkflowTask(
"test_workflow", workflow,
inputs=input,
parameters=parameters,
tags = [
"run:testing"
],
tool_tags= {
"tail_select" : {
"out_file1" : [
"file:tail"
]
},
"concat_out" : {
"out_file1" : ["file:output"]
}
}
)
service = GalaxyService(
docstore=doc,
name="nosetest_galaxy",
galaxy="bgruening/galaxy-stable:dev",
force=True,
port=20022
)
self.service = service
logging.info("Starting Service")
print "Starting service"
service.start()
self.assertFalse( service.in_error() )
logging.info("Starting Tasks")
job = service.submit(task)
self.assertTrue( isinstance(job, TaskJob) )
self.assertFalse( service.in_error() )
#logging.info("Waiting")
service.wait([job])
found = False
for id, info in doc.filter(tags="file:output"):
logging.info("Found result object: %s size: %d" % (id, doc.size(info)))
self.assertTrue( doc.size(info) > 0 )
found = True
self.assertTrue(found)
self.assertFalse( service.in_error() )
self.assertIn(job.get_status(), ['ok'])
def testRunSimple(self):
input = {
"input_file_1" :
Target("c39ded10-6073-11e4-9803-0800200c9a66"),
"input_file_2" :
Target("26fd12a2-9096-4af2-a989-9e2f1cb692fe")
}
parameters = {
"tail_select" : {
"lineNum" : 3
}
}
bad_parameters = dict(parameters)
del bad_parameters['tail_select']
doc = FileDocStore(file_path="./test_tmp/docstore")
logging.info("Adding files to object store")
sync_doc_dir("examples/simple_galaxy/", doc,
uuid_set=["c39ded10-6073-11e4-9803-0800200c9a66", "26fd12a2-9096-4af2-a989-9e2f1cb692fe"]
)
logging.info("Creating Task")
workflow = GalaxyWorkflow(ga_file="examples/simple_galaxy/SimpleWorkflow.ga")
task = nebula.tasks.GalaxyWorkflowTask(
"test_workflow", workflow,
inputs=input,
parameters=parameters
)
task_data = task.to_dict()
#make sure the task data can be serialized
task_data_str = json.dumps(task_data)
service = GalaxyService(
docstore=doc,
name="nosetest_galaxy",
galaxy="bgruening/galaxy-stable",
force=True,
port=20022
)
self.service = service
#make sure the generated task is serializable
new_task_data = json.loads(task_data_str)
new_task = nebula.tasks.from_dict(new_task_data)
logging.info("Starting Service")
print "Starting service"
service.start()
self.assertFalse( service.in_error() )
logging.info("Starting Tasks")
job = service.submit(new_task)
self.assertTrue( isinstance(job, TaskJob) )
self.assertFalse( service.in_error() )
#logging.info("Waiting")
service.wait([job])
self.assertIn(job.get_status(), ['ok'])
bad_task = nebula.tasks.GalaxyWorkflowTask(
"test_workflow_bad",
workflow,
inputs=input,
parameters=bad_parameters
)
job = service.submit(bad_task)
service.wait([job])
self.assertIn(job.get_status(), ['error'])
self.assertFalse( service.in_error() )
