import arvados_cwl.util
from .arvcontainer import RunnerContainer
-from .arvjob import RunnerJob, RunnerTemplate
from .runner import Runner, upload_docker, upload_job_order, upload_workflow_deps
from .arvtool import ArvadosCommandTool, validate_cluster_target, ArvadosExpressionTool
from .arvworkflow import ArvadosWorkflow, upload_workflow
class ArvCwlExecutor(object):
- """Execute a CWL tool or workflow, submit work (using either jobs or
- containers API), wait for them to complete, and report output.
+ """Execute a CWL tool or workflow, submit work (using containers API),
+ wait for them to complete, and report output.
"""
num_retries=self.num_retries)
self.work_api = None
- expected_api = ["containers", "jobs"]
+ expected_api = ["containers"]
for api in expected_api:
try:
methods = self.api._rootDesc.get('resources')[api]['methods']
raise Exception("Unsupported API '%s', expected one of %s" % (arvargs.work_api, expected_api))
if self.work_api == "jobs":
- logger.warning("""
+ logger.error("""
*******************************
-Using the deprecated 'jobs' API.
-
-To get rid of this warning:
-
-Users: read about migrating at
-http://doc.arvados.org/user/cwl/cwl-style.html#migrate
-and use the option --api=containers
-
-Admins: configure the cluster to disable the 'jobs' API as described at:
-http://doc.arvados.org/install/install-api-server.html#disable_api_methods
+The 'jobs' API is no longer supported.
*******************************""")
+ exit(1)
self.loadingContext = ArvLoadingContext(vars(arvargs))
self.loadingContext.fetcher_constructor = self.fetcher_constructor
activity statuses, for example in the RuntimeStatusLoggingHandler.
"""
with self.workflow_eval_lock:
- current = arvados_cwl.util.get_current_container(self.api, self.num_retries, logger)
+ current = None
+ try:
+ current = arvados_cwl.util.get_current_container(self.api, self.num_retries, logger)
+ except Exception as e:
+ logger.info("Couldn't get current container: %s", e)
if current is None:
return
runtime_status = current.get('runtime_status', {})
return "[%s %s]" % (self.work_api[0:-1], obj.name)
def poll_states(self):
- """Poll status of jobs or containers listed in the processes dict.
+ """Poll status of containers listed in the processes dict.
Runs in a separate thread.
"""
begin_poll = time.time()
if self.work_api == "containers":
table = self.poll_api.container_requests()
- elif self.work_api == "jobs":
- table = self.poll_api.jobs()
pageSize = self.poll_api._rootDesc.get('maxItemsPerResponse', 1000)
def check_features(self, obj, parentfield=""):
if isinstance(obj, dict):
- if obj.get("writable") and self.work_api != "containers":
- raise SourceLine(obj, "writable", UnsupportedRequirement).makeError("InitialWorkDir feature 'writable: true' not supported with --api=jobs")
if obj.get("class") == "DockerRequirement":
if obj.get("dockerOutputDirectory"):
- if self.work_api != "containers":
- raise SourceLine(obj, "dockerOutputDirectory", UnsupportedRequirement).makeError(
- "Option 'dockerOutputDirectory' of DockerRequirement not supported with --api=jobs.")
if not obj.get("dockerOutputDirectory").startswith('/'):
raise SourceLine(obj, "dockerOutputDirectory", validate.ValidationException).makeError(
"Option 'dockerOutputDirectory' must be an absolute path.")
- if obj.get("class") == "http://commonwl.org/cwltool#Secrets" and self.work_api != "containers":
- raise SourceLine(obj, "class", UnsupportedRequirement).makeError("Secrets not supported with --api=jobs")
if obj.get("class") == "InplaceUpdateRequirement":
if obj["inplaceUpdate"] and parentfield == "requirements":
raise SourceLine(obj, "class", UnsupportedRequirement).makeError("InplaceUpdateRequirement not supported for keep collections.")
except Exception:
logger.exception("Setting container output")
return
- elif self.work_api == "jobs" and "TASK_UUID" in os.environ:
- self.api.job_tasks().update(uuid=os.environ["TASK_UUID"],
- body={
- 'output': self.final_output_collection.portable_data_hash(),
- 'success': self.final_status == "success",
- 'progress':1.0
- }).execute(num_retries=self.num_retries)
def apply_reqs(self, job_order_object, tool):
if "https://w3id.org/cwl/cwl#requirements" in job_order_object:
for req in job_reqs:
tool.requirements.append(req)
- def arv_executor(self, tool, job_order, runtimeContext, logger=None):
+ def arv_executor(self, updated_tool, job_order, runtimeContext, logger=None):
self.debug = runtimeContext.debug
- tool.visit(self.check_features)
+ updated_tool.visit(self.check_features)
self.project_uuid = runtimeContext.project_uuid
self.pipeline = None
raise Exception("--submit-request-uuid requires containers API, but using '{}' api".format(self.work_api))
if not runtimeContext.name:
- runtimeContext.name = self.name = tool.tool.get("label") or tool.metadata.get("label") or os.path.basename(tool.tool["id"])
+ runtimeContext.name = self.name = updated_tool.tool.get("label") or updated_tool.metadata.get("label") or os.path.basename(updated_tool.tool["id"])
# Upload local file references in the job order.
job_order = upload_job_order(self, "%s input" % runtimeContext.name,
- tool, job_order)
+ updated_tool, job_order)
+
+ # the last clause means: if it is a command line tool, and we
+ # are going to wait for the result, and always_submit_runner
+ # is false, then we don't submit a runner process.
submitting = (runtimeContext.update_workflow or
runtimeContext.create_workflow or
(runtimeContext.submit and not
- (tool.tool["class"] == "CommandLineTool" and
+ (updated_tool.tool["class"] == "CommandLineTool" and
runtimeContext.wait and
not runtimeContext.always_submit_runner)))
if submitting:
# Document may have been auto-updated. Reload the original
# document with updating disabled because we want to
- # submit the original document, not the auto-updated one.
- tool = load_tool(tool.tool["id"], loadingContext)
+ # submit the document with its original CWL version, not
+ # the auto-updated one.
+ tool = load_tool(updated_tool.tool["id"], loadingContext)
+ else:
+ tool = updated_tool
# Upload direct dependencies of workflow steps, get back mapping of files to keep references.
# Also uploads docker images.
existing_uuid = runtimeContext.update_workflow
if existing_uuid or runtimeContext.create_workflow:
# Create a pipeline template or workflow record and exit.
- if self.work_api == "jobs":
- tmpl = RunnerTemplate(self, tool, job_order,
- runtimeContext.enable_reuse,
- uuid=existing_uuid,
- submit_runner_ram=runtimeContext.submit_runner_ram,
- name=runtimeContext.name,
- merged_map=merged_map,
- loadingContext=loadingContext)
- tmpl.save()
- # cwltool.main will write our return value to stdout.
- return (tmpl.uuid, "success")
- elif self.work_api == "containers":
+ if self.work_api == "containers":
return (upload_workflow(self, tool, job_order,
self.project_uuid,
uuid=existing_uuid,
runtimeContext.docker_outdir = "/var/spool/cwl"
runtimeContext.tmpdir = "/tmp"
runtimeContext.docker_tmpdir = "/tmp"
- elif self.work_api == "jobs":
- if runtimeContext.priority != DEFAULT_PRIORITY:
- raise Exception("--priority not implemented for jobs API.")
- runtimeContext.outdir = "$(task.outdir)"
- runtimeContext.docker_outdir = "$(task.outdir)"
- runtimeContext.tmpdir = "$(task.tmpdir)"
if runtimeContext.priority < 1 or runtimeContext.priority > 1000:
raise Exception("--priority must be in the range 1..1000.")
if runtimeContext.submit:
# Submit a runner job to run the workflow for us.
if self.work_api == "containers":
- if tool.tool["class"] == "CommandLineTool" and runtimeContext.wait and (not runtimeContext.always_submit_runner):
- runtimeContext.runnerjob = tool.tool["id"]
+ if submitting:
+ tool = RunnerContainer(self, updated_tool,
+ tool, loadingContext, runtimeContext.enable_reuse,
+ self.output_name,
+ self.output_tags,
+ submit_runner_ram=runtimeContext.submit_runner_ram,
+ name=runtimeContext.name,
+ on_error=runtimeContext.on_error,
+ submit_runner_image=runtimeContext.submit_runner_image,
+ intermediate_output_ttl=runtimeContext.intermediate_output_ttl,
+ merged_map=merged_map,
+ priority=runtimeContext.priority,
+ secret_store=self.secret_store,
+ collection_cache_size=runtimeContext.collection_cache_size,
+ collection_cache_is_default=self.should_estimate_cache_size)
else:
- tool = RunnerContainer(self, tool, loadingContext, runtimeContext.enable_reuse,
- self.output_name,
- self.output_tags,
- submit_runner_ram=runtimeContext.submit_runner_ram,
- name=runtimeContext.name,
- on_error=runtimeContext.on_error,
- submit_runner_image=runtimeContext.submit_runner_image,
- intermediate_output_ttl=runtimeContext.intermediate_output_ttl,
- merged_map=merged_map,
- priority=runtimeContext.priority,
- secret_store=self.secret_store,
- collection_cache_size=runtimeContext.collection_cache_size,
- collection_cache_is_default=self.should_estimate_cache_size)
- elif self.work_api == "jobs":
- tool = RunnerJob(self, tool, loadingContext, runtimeContext.enable_reuse,
- self.output_name,
- self.output_tags,
- submit_runner_ram=runtimeContext.submit_runner_ram,
- name=runtimeContext.name,
- on_error=runtimeContext.on_error,
- submit_runner_image=runtimeContext.submit_runner_image,
- merged_map=merged_map)
- elif runtimeContext.cwl_runner_job is None and self.work_api == "jobs":
- # Create pipeline for local run
- self.pipeline = self.api.pipeline_instances().create(
- body={
- "owner_uuid": self.project_uuid,
- "name": runtimeContext.name if runtimeContext.name else shortname(tool.tool["id"]),
- "components": {},
- "state": "RunningOnClient"}).execute(num_retries=self.num_retries)
- logger.info("Pipeline instance %s", self.pipeline["uuid"])
+ runtimeContext.runnerjob = tool.tool["id"]
if runtimeContext.cwl_runner_job is not None:
self.uuid = runtimeContext.cwl_runner_job.get('uuid')
projects / arvados.git / blobdiff