X-Git-Url: https://git.arvados.org/arvados.git/blobdiff_plain/e8ebb2101fa89294c91b404953cc2fbabb796e40..af6447c82f24b283b6b5f32b2b66dc6a47e24487:/sdk/cwl/arvados_cwl/__init__.py diff --git a/sdk/cwl/arvados_cwl/__init__.py b/sdk/cwl/arvados_cwl/__init__.py index 8c3f0eadee..834ca195fd 100644 --- a/sdk/cwl/arvados_cwl/__init__.py +++ b/sdk/cwl/arvados_cwl/__init__.py @@ -6,54 +6,45 @@ # Implement cwl-runner interface for submitting and running work on Arvados, using # either the Crunch jobs API or Crunch containers API. +from future.utils import viewitems +from builtins import str + import argparse import logging import os import sys -import threading -import hashlib -import copy -import json import re -from functools import partial import pkg_resources # part of setuptools -import Queue -import time -import signal -import thread -from cwltool.errors import WorkflowException +from schema_salad.sourceline import SourceLine +import schema_salad.validate as validate import cwltool.main import cwltool.workflow import cwltool.process -from schema_salad.sourceline import SourceLine -import schema_salad.validate as validate import cwltool.argparser +from cwltool.process import shortname, UnsupportedRequirement, use_custom_schema +from cwltool.pathmapper import adjustFileObjs, adjustDirObjs, get_listing import arvados import arvados.config from arvados.keep import KeepClient from arvados.errors import ApiError import arvados.commands._util as arv_cmd +from arvados.api import OrderedJsonModel -from .arvcontainer import ArvadosContainer, RunnerContainer -from .arvjob import ArvadosJob, RunnerJob, RunnerTemplate -from. runner import Runner, upload_docker, upload_job_order, upload_workflow_deps -from .arvtool import ArvadosCommandTool -from .arvworkflow import ArvadosWorkflow, upload_workflow -from .fsaccess import CollectionFsAccess, CollectionFetcher, collectionResolver, CollectionCache from .perf import Perf -from .pathmapper import NoFollowPathMapper -from .task_queue import TaskQueue -from .context import ArvLoadingContext, ArvRuntimeContext from ._version import __version__ +from .executor import ArvCwlExecutor -from cwltool.pack import pack -from cwltool.process import shortname, UnsupportedRequirement, use_custom_schema -from cwltool.pathmapper import adjustFileObjs, adjustDirObjs, get_listing -from cwltool.command_line_tool import compute_checksums - -from arvados.api import OrderedJsonModel +# These arn't used directly in this file but +# other code expects to import them from here +from .arvcontainer import ArvadosContainer +from .arvjob import ArvadosJob +from .arvtool import ArvadosCommandTool +from .fsaccess import CollectionFsAccess, CollectionCache, CollectionFetcher +from .util import get_current_container +from .executor import RuntimeStatusLoggingHandler, DEFAULT_PRIORITY +from .arvworkflow import ArvadosWorkflow logger = logging.getLogger('arvados.cwl-runner') metrics = logging.getLogger('arvados.cwl-runner.metrics') @@ -63,584 +54,6 @@ arvados.log_handler.setFormatter(logging.Formatter( '%(asctime)s %(name)s %(levelname)s: %(message)s', '%Y-%m-%d %H:%M:%S')) -DEFAULT_PRIORITY = 500 - -class ArvCwlRunner(object): - """Execute a CWL tool or workflow, submit work (using either jobs or - containers API), wait for them to complete, and report output. - - """ - - def __init__(self, api_client, - arvargs=None, - keep_client=None, - num_retries=4, - thread_count=4): - - if arvargs is None: - arvargs = argparse.Namespace() - arvargs.work_api = None - arvargs.output_name = None - arvargs.output_tags = None - arvargs.thread_count = 1 - - self.api = api_client - self.processes = {} - self.workflow_eval_lock = threading.Condition(threading.RLock()) - self.final_output = None - self.final_status = None - self.num_retries = num_retries - self.uuid = None - self.stop_polling = threading.Event() - self.poll_api = None - self.pipeline = None - self.final_output_collection = None - self.output_name = arvargs.output_name - self.output_tags = arvargs.output_tags - self.project_uuid = None - self.intermediate_output_ttl = 0 - self.intermediate_output_collections = [] - self.trash_intermediate = False - self.thread_count = arvargs.thread_count - self.poll_interval = 12 - self.loadingContext = None - - if keep_client is not None: - self.keep_client = keep_client - else: - self.keep_client = arvados.keep.KeepClient(api_client=self.api, num_retries=self.num_retries) - - 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: - try: - methods = self.api._rootDesc.get('resources')[api]['methods'] - if ('httpMethod' in methods['create'] and - (arvargs.work_api == api or arvargs.work_api is None)): - self.work_api = api - break - except KeyError: - pass - - if not self.work_api: - if arvargs.work_api is None: - raise Exception("No supported APIs") - else: - raise Exception("Unsupported API '%s', expected one of %s" % (work_api, expected_api)) - - if self.work_api == "jobs": - logger.warn(""" -******************************* -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 -*******************************""") - - self.loadingContext = ArvLoadingContext(vars(arvargs)) - self.loadingContext.fetcher_constructor = self.fetcher_constructor - self.loadingContext.resolver = partial(collectionResolver, self.api, num_retries=self.num_retries) - self.loadingContext.construct_tool_object = self.arv_make_tool - - - def arv_make_tool(self, toolpath_object, loadingContext): - if "class" in toolpath_object and toolpath_object["class"] == "CommandLineTool": - return ArvadosCommandTool(self, toolpath_object, loadingContext) - elif "class" in toolpath_object and toolpath_object["class"] == "Workflow": - return ArvadosWorkflow(self, toolpath_object, loadingContext) - else: - return cwltool.workflow.default_make_tool(toolpath_object, loadingContext) - - def output_callback(self, out, processStatus): - with self.workflow_eval_lock: - if processStatus == "success": - logger.info("Overall process status is %s", processStatus) - if self.pipeline: - self.api.pipeline_instances().update(uuid=self.pipeline["uuid"], - body={"state": "Complete"}).execute(num_retries=self.num_retries) - else: - logger.error("Overall process status is %s", processStatus) - if self.pipeline: - self.api.pipeline_instances().update(uuid=self.pipeline["uuid"], - body={"state": "Failed"}).execute(num_retries=self.num_retries) - self.final_status = processStatus - self.final_output = out - self.workflow_eval_lock.notifyAll() - - - def start_run(self, runnable, runtimeContext): - self.task_queue.add(partial(runnable.run, runtimeContext)) - - def process_submitted(self, container): - with self.workflow_eval_lock: - self.processes[container.uuid] = container - - def process_done(self, uuid, record): - with self.workflow_eval_lock: - 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: - cb(obj, st) - self.workflow_eval_lock.notifyAll() - - def get_wrapped_callback(self, cb): - return partial(self.wrapped_callback, cb) - - def on_message(self, event): - 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) - - def poll_states(self): - """Poll status of jobs or containers listed in the processes dict. - - Runs in a separate thread. - """ - - try: - remain_wait = self.poll_interval - while True: - if remain_wait > 0: - self.stop_polling.wait(remain_wait) - if self.stop_polling.is_set(): - break - with self.workflow_eval_lock: - keys = list(self.processes.keys()) - if not keys: - remain_wait = self.poll_interval - continue - - 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() - - try: - proc_states = table.list(filters=[["uuid", "in", keys]]).execute(num_retries=self.num_retries) - except Exception as e: - logger.warn("Error checking states on API server: %s", e) - remain_wait = self.poll_interval - continue - - for p in proc_states["items"]: - self.on_message({ - "object_uuid": p["uuid"], - "event_type": "update", - "properties": { - "new_attributes": p - } - }) - finish_poll = time.time() - remain_wait = self.poll_interval - (finish_poll - begin_poll) - except: - logger.exception("Fatal error in state polling thread.") - with self.workflow_eval_lock: - self.processes.clear() - self.workflow_eval_lock.notifyAll() - finally: - self.stop_polling.set() - - def add_intermediate_output(self, uuid): - if uuid: - self.intermediate_output_collections.append(uuid) - - def trash_intermediate_output(self): - logger.info("Cleaning up intermediate output collections") - for i in self.intermediate_output_collections: - try: - 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 or sys.exc_info()[0] is SystemExit: - break - - def check_features(self, obj): - 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") - for v in obj.itervalues(): - self.check_features(v) - elif isinstance(obj, list): - for i,v in enumerate(obj): - with SourceLine(obj, i, UnsupportedRequirement, logger.isEnabledFor(logging.DEBUG)): - self.check_features(v) - - def make_output_collection(self, name, storage_classes, tagsString, outputObj): - outputObj = copy.deepcopy(outputObj) - - files = [] - def capture(fileobj): - files.append(fileobj) - - adjustDirObjs(outputObj, capture) - adjustFileObjs(outputObj, capture) - - generatemapper = NoFollowPathMapper(files, "", "", separateDirs=False) - - final = arvados.collection.Collection(api_client=self.api, - keep_client=self.keep_client, - num_retries=self.num_retries) - - for k,v in generatemapper.items(): - if k.startswith("_:"): - if v.type == "Directory": - continue - if v.type == "CreateFile": - with final.open(v.target, "wb") as f: - f.write(v.resolved.encode("utf-8")) - continue - - if not k.startswith("keep:"): - raise Exception("Output source is not in keep or a literal") - sp = k.split("/") - srccollection = sp[0][5:] - try: - reader = self.collection_cache.get(srccollection) - srcpath = "/".join(sp[1:]) if len(sp) > 1 else "." - final.copy(srcpath, v.target, source_collection=reader, overwrite=False) - except arvados.errors.ArgumentError as e: - logger.error("Creating CollectionReader for '%s' '%s': %s", k, v, e) - raise - except IOError as e: - logger.warn("While preparing output collection: %s", e) - - def rewrite(fileobj): - fileobj["location"] = generatemapper.mapper(fileobj["location"]).target - for k in ("listing", "contents", "nameext", "nameroot", "dirname"): - if k in fileobj: - del fileobj[k] - - adjustDirObjs(outputObj, rewrite) - adjustFileObjs(outputObj, rewrite) - - with final.open("cwl.output.json", "w") as f: - json.dump(outputObj, f, sort_keys=True, indent=4, separators=(',',': ')) - - final.save_new(name=name, owner_uuid=self.project_uuid, storage_classes=storage_classes, ensure_unique_name=True) - - logger.info("Final output collection %s \"%s\" (%s)", final.portable_data_hash(), - final.api_response()["name"], - final.manifest_locator()) - - final_uuid = final.manifest_locator() - tags = tagsString.split(',') - for tag in tags: - self.api.links().create(body={ - "head_uuid": final_uuid, "link_class": "tag", "name": tag - }).execute(num_retries=self.num_retries) - - def finalcollection(fileobj): - fileobj["location"] = "keep:%s/%s" % (final.portable_data_hash(), fileobj["location"]) - - adjustDirObjs(outputObj, finalcollection) - adjustFileObjs(outputObj, finalcollection) - - return (outputObj, final) - - def set_crunch_output(self): - if self.work_api == "containers": - try: - current = self.api.containers().current().execute(num_retries=self.num_retries) - except ApiError as e: - # Status code 404 just means we're not running in a container. - if e.resp.status != 404: - logger.info("Getting current container: %s", e) - return - try: - self.api.containers().update(uuid=current['uuid'], - body={ - 'output': self.final_output_collection.portable_data_hash(), - }).execute(num_retries=self.num_retries) - self.api.collections().update(uuid=self.final_output_collection.manifest_locator(), - body={ - 'is_trashed': True - }).execute(num_retries=self.num_retries) - except Exception as e: - logger.info("Setting container output: %s", e) - 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 arv_executor(self, tool, job_order, runtimeContext, logger=None): - self.debug = runtimeContext.debug - - tool.visit(self.check_features) - - self.project_uuid = runtimeContext.project_uuid - self.pipeline = None - self.fs_access = runtimeContext.make_fs_access(runtimeContext.basedir) - self.secret_store = runtimeContext.secret_store - - self.trash_intermediate = runtimeContext.trash_intermediate - if self.trash_intermediate and self.work_api != "containers": - raise Exception("--trash-intermediate is only supported with --api=containers.") - - self.intermediate_output_ttl = runtimeContext.intermediate_output_ttl - if self.intermediate_output_ttl and self.work_api != "containers": - raise Exception("--intermediate-output-ttl is only supported with --api=containers.") - if self.intermediate_output_ttl < 0: - raise Exception("Invalid value %d for --intermediate-output-ttl, cannot be less than zero" % self.intermediate_output_ttl) - - if runtimeContext.submit_request_uuid and self.work_api != "containers": - 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"]) - - # Upload direct dependencies of workflow steps, get back mapping of files to keep references. - # Also uploads docker images. - merged_map = upload_workflow_deps(self, tool) - - # Reload tool object which may have been updated by - # upload_workflow_deps - # Don't validate this time because it will just print redundant errors. - loadingContext = self.loadingContext.copy() - loadingContext.loader = tool.doc_loader - loadingContext.avsc_names = tool.doc_schema - loadingContext.metadata = tool.metadata - loadingContext.do_validate = False - - tool = self.arv_make_tool(tool.doc_loader.idx[tool.tool["id"]], - loadingContext) - - # Upload local file references in the job order. - job_order = upload_job_order(self, "%s input" % runtimeContext.name, - tool, job_order) - - 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) - tmpl.save() - # cwltool.main will write our return value to stdout. - return (tmpl.uuid, "success") - elif self.work_api == "containers": - return (upload_workflow(self, tool, job_order, - self.project_uuid, - uuid=existing_uuid, - submit_runner_ram=runtimeContext.submit_runner_ram, - name=runtimeContext.name, - merged_map=merged_map), - "success") - - self.ignore_docker_for_reuse = runtimeContext.ignore_docker_for_reuse - self.eval_timeout = runtimeContext.eval_timeout - - runtimeContext = runtimeContext.copy() - runtimeContext.use_container = True - runtimeContext.tmpdir_prefix = "tmp" - runtimeContext.work_api = self.work_api - - if self.work_api == "containers": - if self.ignore_docker_for_reuse: - raise Exception("--ignore-docker-for-reuse not supported with containers API.") - runtimeContext.outdir = "/var/spool/cwl" - 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.") - - runnerjob = None - 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: - runtimeContext.runnerjob = tool.tool["id"] - runnerjob = tool.job(job_order, - self.output_callback, - runtimeContext).next() - else: - runnerjob = RunnerContainer(self, tool, job_order, 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) - elif self.work_api == "jobs": - runnerjob = RunnerJob(self, tool, job_order, 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"]) - - if runnerjob and not runtimeContext.wait: - submitargs = runtimeContext.copy() - submitargs.submit = False - runnerjob.run(submitargs) - return (runnerjob.uuid, "success") - - self.poll_api = arvados.api('v1') - self.polling_thread = threading.Thread(target=self.poll_states) - self.polling_thread.start() - - self.task_queue = TaskQueue(self.workflow_eval_lock, self.thread_count) - - if runnerjob: - jobiter = iter((runnerjob,)) - else: - if runtimeContext.cwl_runner_job is not None: - self.uuid = runtimeContext.cwl_runner_job.get('uuid') - jobiter = tool.job(job_order, - self.output_callback, - runtimeContext) - - try: - self.workflow_eval_lock.acquire() - # Holds the lock while this code runs and releases it when - # it is safe to do so in self.workflow_eval_lock.wait(), - # at which point on_message can update job state and - # process output callbacks. - - loopperf = Perf(metrics, "jobiter") - loopperf.__enter__() - for runnable in jobiter: - loopperf.__exit__() - - if self.stop_polling.is_set(): - break - - if self.task_queue.error is not None: - raise self.task_queue.error - - if runnable: - with Perf(metrics, "run"): - self.start_run(runnable, runtimeContext) - else: - if (self.task_queue.in_flight + len(self.processes)) > 0: - self.workflow_eval_lock.wait(3) - else: - logger.error("Workflow is deadlocked, no runnable processes and not waiting on any pending processes.") - break - loopperf.__enter__() - loopperf.__exit__() - - while (self.task_queue.in_flight + len(self.processes)) > 0: - if self.task_queue.error is not None: - raise self.task_queue.error - self.workflow_eval_lock.wait(3) - - except UnsupportedRequirement: - raise - except: - 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: - self.api.pipeline_instances().update(uuid=self.pipeline["uuid"], - body={"state": "Failed"}).execute(num_retries=self.num_retries) - if runnerjob and runnerjob.uuid and self.work_api == "containers": - self.api.container_requests().update(uuid=runnerjob.uuid, - body={"priority": "0"}).execute(num_retries=self.num_retries) - finally: - self.workflow_eval_lock.release() - self.task_queue.drain() - self.stop_polling.set() - self.polling_thread.join() - self.task_queue.join() - - if self.final_status == "UnsupportedRequirement": - raise UnsupportedRequirement("Check log for details.") - - if self.final_output is None: - raise WorkflowException("Workflow did not return a result.") - - if runtimeContext.submit and isinstance(runnerjob, Runner): - logger.info("Final output collection %s", runnerjob.final_output) - else: - if self.output_name is None: - self.output_name = "Output of %s" % (shortname(tool.tool["id"])) - if self.output_tags is None: - self.output_tags = "" - - storage_classes = runtimeContext.storage_classes.strip().split(",") - self.final_output, self.final_output_collection = self.make_output_collection(self.output_name, storage_classes, self.output_tags, self.final_output) - self.set_crunch_output() - - if runtimeContext.compute_checksum: - adjustDirObjs(self.final_output, partial(get_listing, self.fs_access)) - adjustFileObjs(self.final_output, partial(compute_checksums, self.fs_access)) - - if self.trash_intermediate and self.final_status == "success": - self.trash_intermediate_output() - - return (self.final_output, self.final_status) - - def versionstring(): """Print version string of key packages for provenance and debugging.""" @@ -656,9 +69,9 @@ def versionstring(): def arg_parser(): # type: () -> argparse.ArgumentParser parser = argparse.ArgumentParser(description='Arvados executor for Common Workflow Language') - parser.add_argument("--basedir", type=str, + parser.add_argument("--basedir", help="Base directory used to resolve relative references in the input, default to directory of input object file or current directory (if inputs piped/provided on command line).") - parser.add_argument("--outdir", type=str, default=os.path.abspath('.'), + parser.add_argument("--outdir", default=os.path.abspath('.'), help="Output directory, default current directory") parser.add_argument("--eval-timeout", @@ -689,9 +102,9 @@ def arg_parser(): # type: () -> argparse.ArgumentParser default=True, dest="enable_reuse", help="Disable job or container reuse") - parser.add_argument("--project-uuid", type=str, metavar="UUID", help="Project that will own the workflow jobs, if not provided, will go to home project.") - parser.add_argument("--output-name", type=str, help="Name to use for collection that stores the final output.", default=None) - parser.add_argument("--output-tags", type=str, help="Tags for the final output collection separated by commas, e.g., '--output-tags tag0,tag1,tag2'.", default=None) + parser.add_argument("--project-uuid", metavar="UUID", help="Project that will own the workflow jobs, if not provided, will go to home project.") + parser.add_argument("--output-name", help="Name to use for collection that stores the final output.", default=None) + parser.add_argument("--output-tags", help="Tags for the final output collection separated by commas, e.g., '--output-tags tag0,tag1,tag2'.", default=None) parser.add_argument("--ignore-docker-for-reuse", action="store_true", help="Ignore Docker image version when deciding whether to reuse past jobs.", default=False) @@ -704,7 +117,7 @@ def arg_parser(): # type: () -> argparse.ArgumentParser exgroup.add_argument("--create-template", action="store_true", help="(Deprecated) synonym for --create-workflow.", dest="create_workflow") exgroup.add_argument("--create-workflow", action="store_true", help="Create an Arvados workflow (if using the 'containers' API) or pipeline template (if using the 'jobs' API). See --api.") - exgroup.add_argument("--update-workflow", type=str, metavar="UUID", help="Update an existing Arvados workflow or pipeline template with the given UUID.") + exgroup.add_argument("--update-workflow", metavar="UUID", help="Update an existing Arvados workflow or pipeline template with the given UUID.") exgroup = parser.add_mutually_exclusive_group() exgroup.add_argument("--wait", action="store_true", help="After submitting workflow runner job, wait for completion.", @@ -718,7 +131,7 @@ def arg_parser(): # type: () -> argparse.ArgumentParser exgroup.add_argument("--no-log-timestamps", action="store_false", help="No timestamp on logging lines", default=True, dest="log_timestamps") - parser.add_argument("--api", type=str, + parser.add_argument("--api", default=None, dest="work_api", choices=("jobs", "containers"), help="Select work submission API. Default is 'jobs' if that API is available, otherwise 'containers'.") @@ -731,26 +144,41 @@ def arg_parser(): # type: () -> argparse.ArgumentParser help="RAM (in MiB) required for the workflow runner job (default 1024)", default=None) - parser.add_argument("--submit-runner-image", type=str, + parser.add_argument("--submit-runner-image", help="Docker image for workflow runner job, default arvados/jobs:%s" % __version__, default=None) - parser.add_argument("--submit-request-uuid", type=str, + parser.add_argument("--always-submit-runner", action="store_true", + help="When invoked with --submit --wait, always submit a runner to manage the workflow, even when only running a single CommandLineTool", + default=False) + + exgroup = parser.add_mutually_exclusive_group() + exgroup.add_argument("--submit-request-uuid", + default=None, + help="Update and commit to supplied container request instead of creating a new one (containers API only).", + metavar="UUID") + exgroup.add_argument("--submit-runner-cluster", + help="Submit workflow runner to a remote cluster (containers API only)", + default=None, + metavar="CLUSTER_ID") + + parser.add_argument("--collection-cache-size", type=int, default=None, - help="Update and commit supplied container request instead of creating a new one (containers API only).") + help="Collection cache size (in MiB, default 256).") - parser.add_argument("--name", type=str, + parser.add_argument("--name", help="Name to use for workflow execution instance.", default=None) - parser.add_argument("--on-error", type=str, - help="Desired workflow behavior when a step fails. One of 'stop' or 'continue'. " - "Default is 'continue'.", default="continue", choices=("stop", "continue")) + parser.add_argument("--on-error", + help="Desired workflow behavior when a step fails. One of 'stop' (do not submit any more steps) or " + "'continue' (may submit other steps that are not downstream from the error). Default is 'continue'.", + default="continue", choices=("stop", "continue")) parser.add_argument("--enable-dev", action="store_true", help="Enable loading and running development versions " "of CWL spec.", default=False) - parser.add_argument('--storage-classes', default="default", type=str, + parser.add_argument('--storage-classes', default="default", help="Specify comma separated list of storage classes to be used when saving workflow output to Keep.") parser.add_argument("--intermediate-output-ttl", type=int, metavar="N", @@ -770,7 +198,10 @@ def arg_parser(): # type: () -> argparse.ArgumentParser help=argparse.SUPPRESS) parser.add_argument("--thread-count", type=int, - default=4, help="Number of threads to use for job submit and output collection.") + default=1, help="Number of threads to use for job submit and output collection.") + + parser.add_argument("--http-timeout", type=int, + default=5*60, dest="http_timeout", help="API request timeout in seconds. Default is 300 seconds (5 minutes).") exgroup = parser.add_mutually_exclusive_group() exgroup.add_argument("--trash-intermediate", action="store_true", @@ -780,7 +211,7 @@ def arg_parser(): # type: () -> argparse.ArgumentParser default=False, dest="trash_intermediate", help="Do not trash intermediate outputs (default).") - parser.add_argument("workflow", type=str, default=None, help="The workflow to execute") + parser.add_argument("workflow", default=None, help="The workflow to execute") parser.add_argument("job_order", nargs=argparse.REMAINDER, help="The input object to the workflow.") return parser @@ -799,11 +230,12 @@ def add_arv_hints(): "http://arvados.org/cwl#APIRequirement", "http://commonwl.org/cwltool#LoadListingRequirement", "http://arvados.org/cwl#IntermediateOutput", - "http://arvados.org/cwl#ReuseRequirement" + "http://arvados.org/cwl#ReuseRequirement", + "http://arvados.org/cwl#ClusterTarget" ]) def exit_signal_handler(sigcode, frame): - logger.error("Caught signal {}, exiting.".format(sigcode)) + logger.error(str(u"Caught signal {}, exiting.").format(sigcode)) sys.exit(-sigcode) def main(args, stdout, stderr, api_client=None, keep_client=None, @@ -814,7 +246,7 @@ def main(args, stdout, stderr, api_client=None, keep_client=None, arvargs = parser.parse_args(args) if len(arvargs.storage_classes.strip().split(',')) > 1: - logger.error("Multiple storage classes are not supported currently.") + logger.error(str(u"Multiple storage classes are not supported currently.")) return 1 arvargs.use_container = True @@ -832,7 +264,7 @@ def main(args, stdout, stderr, api_client=None, keep_client=None, else: want_api = None if want_api and arvargs.work_api and want_api != arvargs.work_api: - logger.error('--update-workflow arg {!r} uses {!r} API, but --api={!r} specified'.format( + logger.error(str(u'--update-workflow arg {!r} uses {!r} API, but --api={!r} specified').format( arvargs.update_workflow, want_api, arvargs.work_api)) return 1 arvargs.work_api = want_api @@ -842,19 +274,27 @@ def main(args, stdout, stderr, api_client=None, keep_client=None, add_arv_hints() + for key, val in viewitems(cwltool.argparser.get_default_args()): + if not hasattr(arvargs, key): + setattr(arvargs, key, val) + try: if api_client is None: - api_client = arvados.safeapi.ThreadSafeApiCache(api_params={"model": OrderedJsonModel()}, keep_params={"num_retries": 4}) + api_client = arvados.safeapi.ThreadSafeApiCache( + api_params={"model": OrderedJsonModel(), "timeout": arvargs.http_timeout}, + keep_params={"num_retries": 4}) keep_client = api_client.keep # Make an API object now so errors are reported early. api_client.users().current().execute() if keep_client is None: keep_client = arvados.keep.KeepClient(api_client=api_client, num_retries=4) - runner = ArvCwlRunner(api_client, arvargs, keep_client=keep_client, num_retries=4) - except Exception as e: - logger.error(e) + executor = ArvCwlExecutor(api_client, arvargs, keep_client=keep_client, num_retries=4) + except Exception: + logger.exception("Error creating the Arvados CWL Executor") return 1 + # Note that unless in debug mode, some stack traces related to user + # workflow errors may be suppressed. See ArvadosJob.done(). if arvargs.debug: logger.setLevel(logging.DEBUG) logging.getLogger('arvados').setLevel(logging.DEBUG) @@ -875,21 +315,13 @@ def main(args, stdout, stderr, api_client=None, keep_client=None, else: arvados.log_handler.setFormatter(logging.Formatter('%(name)s %(levelname)s: %(message)s')) - for key, val in cwltool.argparser.get_default_args().items(): - if not hasattr(arvargs, key): - setattr(arvargs, key, val) - - runtimeContext = ArvRuntimeContext(vars(arvargs)) - runtimeContext.make_fs_access = partial(CollectionFsAccess, - collection_cache=runner.collection_cache) - return cwltool.main.main(args=arvargs, stdout=stdout, stderr=stderr, - executor=runner.arv_executor, + executor=executor.arv_executor, versionfunc=versionstring, job_order_object=job_order_object, logger_handler=arvados.log_handler, custom_schema_callback=add_arv_hints, - loadingContext=runner.loadingContext, - runtimeContext=runtimeContext) + loadingContext=executor.loadingContext, + runtimeContext=executor.runtimeContext)