import pkg_resources # part of setuptools
import Queue
import time
+import signal
+import thread
from cwltool.errors import WorkflowException
import cwltool.main
import arvados.config
from arvados.keep import KeepClient
from arvados.errors import ApiError
+import arvados.commands._util as arv_cmd
from .arvcontainer import ArvadosContainer, RunnerContainer
from .arvjob import ArvadosJob, RunnerJob, RunnerTemplate
"""
def __init__(self, api_client, work_api=None, keep_client=None,
- output_name=None, output_tags=None, num_retries=4):
+ output_name=None, output_tags=None, num_retries=4,
+ thread_count=4):
self.api = api_client
self.processes = {}
self.workflow_eval_lock = threading.Condition(threading.RLock())
self.intermediate_output_ttl = 0
self.intermediate_output_collections = []
self.trash_intermediate = False
- self.thread_count = 4
+ self.thread_count = thread_count
self.poll_interval = 12
if keep_client is not None:
self.collection_cache = CollectionCache(self.api, self.keep_client, self.num_retries)
+ self.fetcher_constructor = partial(CollectionFetcher,
+ api_client=self.api,
+ fs_access=CollectionFsAccess("", collection_cache=self.collection_cache),
+ num_retries=self.num_retries)
+
self.work_api = None
expected_api = ["jobs", "containers"]
for api in expected_api:
def arv_make_tool(self, toolpath_object, **kwargs):
kwargs["work_api"] = self.work_api
- kwargs["fetcher_constructor"] = partial(CollectionFetcher,
- api_client=self.api,
- fs_access=CollectionFsAccess("", collection_cache=self.collection_cache),
- num_retries=self.num_retries)
+ kwargs["fetcher_constructor"] = self.fetcher_constructor
kwargs["resolver"] = partial(collectionResolver, self.api, num_retries=self.num_retries)
if "class" in toolpath_object and toolpath_object["class"] == "CommandLineTool":
return ArvadosCommandTool(self, toolpath_object, **kwargs)
with self.workflow_eval_lock:
self.processes[container.uuid] = container
- def process_done(self, uuid):
+ def process_done(self, uuid, record):
with self.workflow_eval_lock:
- if uuid in self.processes:
- del self.processes[uuid]
+ j = self.processes[uuid]
+ logger.info("%s %s is %s", self.label(j), uuid, record["state"])
+ self.task_queue.add(partial(j.done, record))
+ del self.processes[uuid]
def wrapped_callback(self, cb, obj, st):
with self.workflow_eval_lock:
return partial(self.wrapped_callback, cb)
def on_message(self, event):
- if "object_uuid" in event:
- if event["object_uuid"] in self.processes and event["event_type"] == "update":
- uuid = event["object_uuid"]
- if event["properties"]["new_attributes"]["state"] == "Running":
- with self.workflow_eval_lock:
- j = self.processes[uuid]
- if j.running is False:
- j.running = True
- j.update_pipeline_component(event["properties"]["new_attributes"])
- logger.info("%s %s is Running", self.label(j), uuid)
- elif event["properties"]["new_attributes"]["state"] in ("Complete", "Failed", "Cancelled", "Final"):
- with self.workflow_eval_lock:
- j = self.processes[uuid]
- self.task_queue.add(partial(j.done, event["properties"]["new_attributes"]))
- logger.info("%s %s is %s", self.label(j), uuid, event["properties"]["new_attributes"]["state"])
+ if event.get("object_uuid") in self.processes and event["event_type"] == "update":
+ uuid = event["object_uuid"]
+ if event["properties"]["new_attributes"]["state"] == "Running":
+ with self.workflow_eval_lock:
+ j = self.processes[uuid]
+ if j.running is False:
+ j.running = True
+ j.update_pipeline_component(event["properties"]["new_attributes"])
+ logger.info("%s %s is Running", self.label(j), uuid)
+ elif event["properties"]["new_attributes"]["state"] in ("Complete", "Failed", "Cancelled", "Final"):
+ self.process_done(uuid, event["properties"]["new_attributes"])
def label(self, obj):
return "[%s %s]" % (self.work_api[0:-1], obj.name)
self.api.collections().delete(uuid=i).execute(num_retries=self.num_retries)
except:
logger.warn("Failed to delete intermediate output: %s", sys.exc_info()[1], exc_info=(sys.exc_info()[1] if self.debug else False))
- if sys.exc_info()[0] is KeyboardInterrupt:
+ if sys.exc_info()[0] is KeyboardInterrupt or sys.exc_info()[0] is SystemExit:
break
def check_features(self, obj):
collection_cache=self.collection_cache)
self.fs_access = make_fs_access(kwargs["basedir"])
self.secret_store = kwargs.get("secret_store")
- self.thread_count = kwargs.get("thread_count", 4)
self.trash_intermediate = kwargs["trash_intermediate"]
if self.trash_intermediate and self.work_api != "containers":
logger.info("Pipeline instance %s", self.pipeline["uuid"])
if runnerjob and not kwargs.get("wait"):
- runnerjob.run(**kwargs)
+ submitargs = kwargs.copy()
+ submitargs['submit'] = False
+ runnerjob.run(**submitargs)
return (runnerjob.uuid, "success")
self.poll_api = arvados.api('v1')
if (self.task_queue.in_flight + len(self.processes)) > 0:
self.workflow_eval_lock.wait(3)
else:
- logger.error("Workflow is deadlocked, no runnable jobs and not waiting on any pendingjobs.")
+ logger.error("Workflow is deadlocked, no runnable processes and not waiting on any pending processes.")
break
loopperf.__enter__()
loopperf.__exit__()
except UnsupportedRequirement:
raise
except:
- if sys.exc_info()[0] is KeyboardInterrupt:
- logger.error("Interrupted, marking pipeline as failed")
+ if sys.exc_info()[0] is KeyboardInterrupt or sys.exc_info()[0] is SystemExit:
+ logger.error("Interrupted, workflow will be cancelled")
else:
logger.error("Execution failed: %s", sys.exc_info()[1], exc_info=(sys.exc_info()[1] if self.debug else False))
if self.pipeline:
"http://arvados.org/cwl#ReuseRequirement"
])
-def main(args, stdout, stderr, api_client=None, keep_client=None):
+def exit_signal_handler(sigcode, frame):
+ logger.error("Caught signal {}, exiting.".format(sigcode))
+ sys.exit(-sigcode)
+
+def main(args, stdout, stderr, api_client=None, keep_client=None,
+ install_sig_handlers=True):
parser = arg_parser()
job_order_object = None
arvargs = parser.parse_args(args)
+ if install_sig_handlers:
+ arv_cmd.install_signal_handlers()
+
if arvargs.update_workflow:
if arvargs.update_workflow.find('-7fd4e-') == 5:
want_api = 'containers'
keep_client = arvados.keep.KeepClient(api_client=api_client, num_retries=4)
runner = ArvCwlRunner(api_client, work_api=arvargs.work_api, keep_client=keep_client,
num_retries=4, output_name=arvargs.output_name,
- output_tags=arvargs.output_tags)
+ output_tags=arvargs.output_tags,
+ thread_count=arvargs.thread_count)
except Exception as e:
logger.error(e)
return 1
projects / arvados.git / blobdiff