1 # Copyright (C) The Arvados Authors. All rights reserved.
3 # SPDX-License-Identifier: Apache-2.0
5 from future import standard_library
6 standard_library.install_aliases()
7 from builtins import str
12 import urllib.request, urllib.parse, urllib.error
19 import arvados_cwl.util
20 import ruamel.yaml as yaml
22 from cwltool.errors import WorkflowException
23 from cwltool.process import UnsupportedRequirement, shortname
24 from cwltool.utils import aslist, adjustFileObjs, adjustDirObjs, visit_class
25 from cwltool.job import JobBase
27 import arvados.collection
29 from .arvdocker import arv_docker_get_image
31 from .runner import Runner, arvados_jobs_image, packed_workflow, trim_anonymous_location, remove_redundant_fields, make_builder
32 from .fsaccess import CollectionFetcher
33 from .pathmapper import NoFollowPathMapper, trim_listing
34 from .perf import Perf
35 from ._version import __version__
37 logger = logging.getLogger('arvados.cwl-runner')
38 metrics = logging.getLogger('arvados.cwl-runner.metrics')
40 def cleanup_name_for_collection(name):
41 return name.replace("/", " ")
43 class ArvadosContainer(JobBase):
44 """Submit and manage a Crunch container request for executing a CWL CommandLineTool."""
46 def __init__(self, runner, job_runtime,
47 builder, # type: Builder
48 joborder, # type: Dict[Text, Union[Dict[Text, Any], List, Text]]
49 make_path_mapper, # type: Callable[..., PathMapper]
50 requirements, # type: List[Dict[Text, Text]]
51 hints, # type: List[Dict[Text, Text]]
54 super(ArvadosContainer, self).__init__(builder, joborder, make_path_mapper, requirements, hints, name)
55 self.arvrunner = runner
56 self.job_runtime = job_runtime
60 def update_pipeline_component(self, r):
63 def _required_env(self):
65 env["HOME"] = self.outdir
66 env["TMPDIR"] = self.tmpdir
69 def run(self, toplevelRuntimeContext):
70 # ArvadosCommandTool subclasses from cwltool.CommandLineTool,
71 # which calls makeJobRunner() to get a new ArvadosContainer
72 # object. The fields that define execution such as
73 # command_line, environment, etc are set on the
74 # ArvadosContainer object by CommandLineTool.job() before
77 runtimeContext = self.job_runtime
79 if runtimeContext.submit_request_uuid:
80 container_request = self.arvrunner.api.container_requests().get(
81 uuid=runtimeContext.submit_request_uuid
82 ).execute(num_retries=self.arvrunner.num_retries)
84 container_request = {}
86 container_request["command"] = self.command_line
87 container_request["name"] = self.name
88 container_request["output_path"] = self.outdir
89 container_request["cwd"] = self.outdir
90 container_request["priority"] = runtimeContext.priority
91 container_request["state"] = "Committed"
92 container_request.setdefault("properties", {})
94 runtime_constraints = {}
96 if runtimeContext.project_uuid:
97 container_request["owner_uuid"] = runtimeContext.project_uuid
99 if self.arvrunner.secret_store.has_secret(self.command_line):
100 raise WorkflowException("Secret material leaked on command line, only file literals may contain secrets")
102 if self.arvrunner.secret_store.has_secret(self.environment):
103 raise WorkflowException("Secret material leaked in environment, only file literals may contain secrets")
105 resources = self.builder.resources
106 if resources is not None:
107 runtime_constraints["vcpus"] = math.ceil(resources.get("cores", 1))
108 runtime_constraints["ram"] = math.ceil(resources.get("ram") * 2**20)
113 "capacity": math.ceil(resources.get("outdirSize", 0) * 2**20)
117 "capacity": math.ceil(resources.get("tmpdirSize", 0) * 2**20)
121 scheduling_parameters = {}
123 rf = [self.pathmapper.mapper(f) for f in self.pathmapper.referenced_files]
124 rf.sort(key=lambda k: k.resolved)
126 for resolved, target, tp, stg in rf:
129 if prevdir and target.startswith(prevdir):
131 if tp == "Directory":
134 targetdir = os.path.dirname(target)
135 sp = resolved.split("/", 1)
136 pdh = sp[0][5:] # remove "keep:"
137 mounts[targetdir] = {
138 "kind": "collection",
139 "portable_data_hash": pdh
141 if pdh in self.pathmapper.pdh_to_uuid:
142 mounts[targetdir]["uuid"] = self.pathmapper.pdh_to_uuid[pdh]
144 if tp == "Directory":
147 path = os.path.dirname(sp[1])
148 if path and path != "/":
149 mounts[targetdir]["path"] = path
150 prevdir = targetdir + "/"
152 intermediate_collection_info = arvados_cwl.util.get_intermediate_collection_info(self.name, runtimeContext.current_container, runtimeContext.intermediate_output_ttl)
154 with Perf(metrics, "generatefiles %s" % self.name):
155 if self.generatefiles["listing"]:
156 vwd = arvados.collection.Collection(api_client=self.arvrunner.api,
157 keep_client=self.arvrunner.keep_client,
158 num_retries=self.arvrunner.num_retries)
159 generatemapper = NoFollowPathMapper(self.generatefiles["listing"], "", "",
162 sorteditems = sorted(generatemapper.items(), key=lambda n: n[1].target)
164 logger.debug("generatemapper is %s", sorteditems)
166 with Perf(metrics, "createfiles %s" % self.name):
167 for f, p in sorteditems:
171 if p.target.startswith("/"):
172 dst = p.target[len(self.outdir)+1:] if p.target.startswith(self.outdir+"/") else p.target[1:]
176 if p.type in ("File", "Directory", "WritableFile", "WritableDirectory"):
177 if p.resolved.startswith("_:"):
180 source, path = self.arvrunner.fs_access.get_collection(p.resolved)
181 vwd.copy(path or ".", dst, source_collection=source)
182 elif p.type == "CreateFile":
183 if self.arvrunner.secret_store.has_secret(p.resolved):
184 mountpoint = p.target if p.target.startswith("/") else os.path.join(self.outdir, p.target)
185 secret_mounts[mountpoint] = {
187 "content": self.arvrunner.secret_store.retrieve(p.resolved)
190 with vwd.open(dst, "w") as n:
193 def keepemptydirs(p):
194 if isinstance(p, arvados.collection.RichCollectionBase):
196 p.open(".keep", "w").close()
203 if not runtimeContext.current_container:
204 runtimeContext.current_container = arvados_cwl.util.get_current_container(self.arvrunner.api, self.arvrunner.num_retries, logger)
205 vwd.save_new(name=intermediate_collection_info["name"],
206 owner_uuid=runtimeContext.project_uuid,
207 ensure_unique_name=True,
208 trash_at=intermediate_collection_info["trash_at"],
209 properties=intermediate_collection_info["properties"])
212 for f, p in sorteditems:
213 if (not p.target or self.arvrunner.secret_store.has_secret(p.resolved) or
214 (prev is not None and p.target.startswith(prev))):
216 if p.target.startswith("/"):
217 dst = p.target[len(self.outdir)+1:] if p.target.startswith(self.outdir+"/") else p.target[1:]
220 mountpoint = p.target if p.target.startswith("/") else os.path.join(self.outdir, p.target)
221 mounts[mountpoint] = {"kind": "collection",
222 "portable_data_hash": vwd.portable_data_hash(),
224 if p.type.startswith("Writable"):
225 mounts[mountpoint]["writable"] = True
226 prev = p.target + "/"
228 container_request["environment"] = {"TMPDIR": self.tmpdir, "HOME": self.outdir}
230 container_request["environment"].update(self.environment)
233 sp = self.stdin[6:].split("/", 1)
234 mounts["stdin"] = {"kind": "collection",
235 "portable_data_hash": sp[0],
239 mounts["stderr"] = {"kind": "file",
240 "path": "%s/%s" % (self.outdir, self.stderr)}
243 mounts["stdout"] = {"kind": "file",
244 "path": "%s/%s" % (self.outdir, self.stdout)}
246 (docker_req, docker_is_req) = self.get_requirement("DockerRequirement")
248 container_request["container_image"] = arv_docker_get_image(self.arvrunner.api,
250 runtimeContext.pull_image,
251 runtimeContext.project_uuid,
252 runtimeContext.force_docker_pull,
253 runtimeContext.tmp_outdir_prefix,
254 runtimeContext.match_local_docker,
255 runtimeContext.copy_deps)
257 network_req, _ = self.get_requirement("NetworkAccess")
259 runtime_constraints["API"] = network_req["networkAccess"]
261 api_req, _ = self.get_requirement("http://arvados.org/cwl#APIRequirement")
263 runtime_constraints["API"] = True
265 runtime_req, _ = self.get_requirement("http://arvados.org/cwl#RuntimeConstraints")
267 if "keep_cache" in runtime_req:
268 if self.arvrunner.api.config()["Containers"].get("DefaultKeepCacheDisk", 0) > 0:
269 # If DefaultKeepCacheDisk is non-zero it means we should use disk cache.
270 runtime_constraints["keep_cache_disk"] = math.ceil(runtime_req["keep_cache"] * 2**20)
272 runtime_constraints["keep_cache_ram"] = math.ceil(runtime_req["keep_cache"] * 2**20)
273 if "outputDirType" in runtime_req:
274 if runtime_req["outputDirType"] == "local_output_dir":
275 # Currently the default behavior.
277 elif runtime_req["outputDirType"] == "keep_output_dir":
278 mounts[self.outdir]= {
279 "kind": "collection",
283 partition_req, _ = self.get_requirement("http://arvados.org/cwl#PartitionRequirement")
285 scheduling_parameters["partitions"] = aslist(partition_req["partition"])
287 intermediate_output_req, _ = self.get_requirement("http://arvados.org/cwl#IntermediateOutput")
288 if intermediate_output_req:
289 self.output_ttl = intermediate_output_req["outputTTL"]
291 self.output_ttl = self.arvrunner.intermediate_output_ttl
293 if self.output_ttl < 0:
294 raise WorkflowException("Invalid value %d for output_ttl, cannot be less than zero" % container_request["output_ttl"])
297 if self.arvrunner.api._rootDesc["revision"] >= "20210628":
298 storage_class_req, _ = self.get_requirement("http://arvados.org/cwl#OutputStorageClass")
299 if storage_class_req and storage_class_req.get("intermediateStorageClass"):
300 container_request["output_storage_classes"] = aslist(storage_class_req["intermediateStorageClass"])
302 container_request["output_storage_classes"] = runtimeContext.intermediate_storage_classes.strip().split(",")
304 cuda_req, _ = self.get_requirement("http://commonwl.org/cwltool#CUDARequirement")
306 runtime_constraints["cuda"] = {
307 "device_count": resources.get("cudaDeviceCount", 1),
308 "driver_version": cuda_req["cudaVersionMin"],
309 "hardware_capability": aslist(cuda_req["cudaComputeCapability"])[0]
312 if runtimeContext.enable_preemptible is False:
313 scheduling_parameters["preemptible"] = False
315 preemptible_req, _ = self.get_requirement("http://arvados.org/cwl#UsePreemptible")
317 scheduling_parameters["preemptible"] = preemptible_req["usePreemptible"]
318 elif runtimeContext.enable_preemptible is True:
319 scheduling_parameters["preemptible"] = True
320 elif runtimeContext.enable_preemptible is None:
323 if self.timelimit is not None and self.timelimit > 0:
324 scheduling_parameters["max_run_time"] = self.timelimit
326 extra_submit_params = {}
327 if runtimeContext.submit_runner_cluster:
328 extra_submit_params["cluster_id"] = runtimeContext.submit_runner_cluster
330 container_request["output_name"] = cleanup_name_for_collection("Output from step %s" % (self.name))
331 container_request["output_ttl"] = self.output_ttl
332 container_request["mounts"] = mounts
333 container_request["secret_mounts"] = secret_mounts
334 container_request["runtime_constraints"] = runtime_constraints
335 container_request["scheduling_parameters"] = scheduling_parameters
337 enable_reuse = runtimeContext.enable_reuse
339 reuse_req, _ = self.get_requirement("WorkReuse")
341 enable_reuse = reuse_req["enableReuse"]
342 reuse_req, _ = self.get_requirement("http://arvados.org/cwl#ReuseRequirement")
344 enable_reuse = reuse_req["enableReuse"]
345 container_request["use_existing"] = enable_reuse
347 properties_req, _ = self.get_requirement("http://arvados.org/cwl#ProcessProperties")
349 for pr in properties_req["processProperties"]:
350 container_request["properties"][pr["propertyName"]] = self.builder.do_eval(pr["propertyValue"])
352 output_properties_req, _ = self.get_requirement("http://arvados.org/cwl#OutputCollectionProperties")
353 if output_properties_req:
354 if self.arvrunner.api._rootDesc["revision"] >= "20220510":
355 container_request["output_properties"] = {}
356 for pr in output_properties_req["outputProperties"]:
357 container_request["output_properties"][pr["propertyName"]] = self.builder.do_eval(pr["propertyValue"])
359 logger.warning("%s API revision is %s, revision %s is required to support setting properties on output collections.",
360 self.arvrunner.label(self), self.arvrunner.api._rootDesc["revision"], "20220510")
362 if runtimeContext.runnerjob.startswith("arvwf:"):
363 wfuuid = runtimeContext.runnerjob[6:runtimeContext.runnerjob.index("#")]
364 wfrecord = self.arvrunner.api.workflows().get(uuid=wfuuid).execute(num_retries=self.arvrunner.num_retries)
365 if container_request["name"] == "main":
366 container_request["name"] = wfrecord["name"]
367 container_request["properties"]["template_uuid"] = wfuuid
369 self.output_callback = self.arvrunner.get_wrapped_callback(self.output_callback)
372 if runtimeContext.submit_request_uuid:
373 response = self.arvrunner.api.container_requests().update(
374 uuid=runtimeContext.submit_request_uuid,
375 body=container_request,
376 **extra_submit_params
377 ).execute(num_retries=self.arvrunner.num_retries)
379 response = self.arvrunner.api.container_requests().create(
380 body=container_request,
381 **extra_submit_params
382 ).execute(num_retries=self.arvrunner.num_retries)
384 self.uuid = response["uuid"]
385 self.arvrunner.process_submitted(self)
387 if response["state"] == "Final":
388 logger.info("%s reused container %s", self.arvrunner.label(self), response["container_uuid"])
390 logger.info("%s %s state is %s", self.arvrunner.label(self), response["uuid"], response["state"])
391 except Exception as e:
392 logger.exception("%s error submitting container\n%s", self.arvrunner.label(self), e)
393 logger.debug("Container request was %s", container_request)
394 self.output_callback({}, "permanentFail")
396 def done(self, record):
399 container = self.arvrunner.api.containers().get(
400 uuid=record["container_uuid"]
401 ).execute(num_retries=self.arvrunner.num_retries)
402 if container["state"] == "Complete":
403 rcode = container["exit_code"]
404 if self.successCodes and rcode in self.successCodes:
405 processStatus = "success"
406 elif self.temporaryFailCodes and rcode in self.temporaryFailCodes:
407 processStatus = "temporaryFail"
408 elif self.permanentFailCodes and rcode in self.permanentFailCodes:
409 processStatus = "permanentFail"
411 processStatus = "success"
413 processStatus = "permanentFail"
416 logger.warning("%s Container may have been killed for using too much RAM. Try resubmitting with a higher 'ramMin'.",
417 self.arvrunner.label(self))
419 processStatus = "permanentFail"
421 if processStatus == "permanentFail" and record["log_uuid"]:
422 logc = arvados.collection.CollectionReader(record["log_uuid"],
423 api_client=self.arvrunner.api,
424 keep_client=self.arvrunner.keep_client,
425 num_retries=self.arvrunner.num_retries)
426 label = self.arvrunner.label(self)
429 "%s (%s) error log:" % (label, record["uuid"]), maxlen=40)
431 if record["output_uuid"]:
432 if self.arvrunner.trash_intermediate or self.arvrunner.intermediate_output_ttl:
433 # Compute the trash time to avoid requesting the collection record.
434 trash_at = ciso8601.parse_datetime_as_naive(record["modified_at"]) + datetime.timedelta(0, self.arvrunner.intermediate_output_ttl)
435 aftertime = " at %s" % trash_at.strftime("%Y-%m-%d %H:%M:%S UTC") if self.arvrunner.intermediate_output_ttl else ""
436 orpart = ", or" if self.arvrunner.trash_intermediate and self.arvrunner.intermediate_output_ttl else ""
437 oncomplete = " upon successful completion of the workflow" if self.arvrunner.trash_intermediate else ""
438 logger.info("%s Intermediate output %s (%s) will be trashed%s%s%s." % (
439 self.arvrunner.label(self), record["output_uuid"], container["output"], aftertime, orpart, oncomplete))
440 self.arvrunner.add_intermediate_output(record["output_uuid"])
442 if container["output"]:
443 outputs = done.done_outputs(self, container, "/tmp", self.outdir, "/keep")
444 except WorkflowException as e:
445 # Only include a stack trace if in debug mode.
446 # A stack trace may obfuscate more useful output about the workflow.
447 logger.error("%s unable to collect output from %s:\n%s",
448 self.arvrunner.label(self), container["output"], e, exc_info=(e if self.arvrunner.debug else False))
449 processStatus = "permanentFail"
451 logger.exception("%s while getting output object:", self.arvrunner.label(self))
452 processStatus = "permanentFail"
454 self.output_callback(outputs, processStatus)
457 class RunnerContainer(Runner):
458 """Submit and manage a container that runs arvados-cwl-runner."""
460 def arvados_job_spec(self, runtimeContext, git_info):
461 """Create an Arvados container request for this workflow.
463 The returned dict can be used to create a container passed as
464 the +body+ argument to container_requests().create().
467 adjustDirObjs(self.job_order, trim_listing)
468 visit_class(self.job_order, ("File", "Directory"), trim_anonymous_location)
469 visit_class(self.job_order, ("File", "Directory"), remove_redundant_fields)
472 for param in sorted(self.job_order.keys()):
473 if self.secret_store.has_secret(self.job_order[param]):
474 mnt = "/secrets/s%d" % len(secret_mounts)
475 secret_mounts[mnt] = {
477 "content": self.secret_store.retrieve(self.job_order[param])
479 self.job_order[param] = {"$include": mnt}
483 "output_path": "/var/spool/cwl",
484 "cwd": "/var/spool/cwl",
485 "priority": self.priority,
486 "state": "Committed",
487 "container_image": arvados_jobs_image(self.arvrunner, self.jobs_image, runtimeContext),
489 "/var/lib/cwl/cwl.input.json": {
491 "content": self.job_order
495 "path": "/var/spool/cwl/cwl.output.json"
498 "kind": "collection",
502 "secret_mounts": secret_mounts,
503 "runtime_constraints": {
504 "vcpus": math.ceil(self.submit_runner_cores),
505 "ram": 1024*1024 * (math.ceil(self.submit_runner_ram) + math.ceil(self.collection_cache_size)),
508 "use_existing": False, # Never reuse the runner container - see #15497.
512 if self.embedded_tool.tool.get("id", "").startswith("keep:"):
513 sp = self.embedded_tool.tool["id"].split('/')
514 workflowcollection = sp[0][5:]
515 workflowname = "/".join(sp[1:])
516 workflowpath = "/var/lib/cwl/workflow/%s" % workflowname
517 container_req["mounts"]["/var/lib/cwl/workflow"] = {
518 "kind": "collection",
519 "portable_data_hash": "%s" % workflowcollection
522 packed = packed_workflow(self.arvrunner, self.embedded_tool, self.merged_map, runtimeContext, git_info)
523 workflowpath = "/var/lib/cwl/workflow.json#main"
524 container_req["mounts"]["/var/lib/cwl/workflow.json"] = {
528 if self.embedded_tool.tool.get("id", "").startswith("arvwf:"):
529 container_req["properties"]["template_uuid"] = self.embedded_tool.tool["id"][6:33]
531 container_req["properties"].update({k.replace("http://arvados.org/cwl#", "arv:"): v for k, v in git_info.items()})
533 properties_req, _ = self.embedded_tool.get_requirement("http://arvados.org/cwl#ProcessProperties")
535 builder = make_builder(self.job_order, self.embedded_tool.hints, self.embedded_tool.requirements, runtimeContext, self.embedded_tool.metadata)
536 for pr in properties_req["processProperties"]:
537 container_req["properties"][pr["propertyName"]] = builder.do_eval(pr["propertyValue"])
539 # --local means execute the workflow instead of submitting a container request
540 # --api=containers means use the containers API
541 # --no-log-timestamps means don't add timestamps (the logging infrastructure does this)
542 # --disable-validate because we already validated so don't need to do it again
543 # --eval-timeout is the timeout for javascript invocation
544 # --parallel-task-count is the number of threads to use for job submission
545 # --enable/disable-reuse sets desired job reuse
546 # --collection-cache-size sets aside memory to store collections
547 command = ["arvados-cwl-runner",
550 "--no-log-timestamps",
551 "--disable-validate",
553 "--eval-timeout=%s" % self.arvrunner.eval_timeout,
554 "--thread-count=%s" % self.arvrunner.thread_count,
555 "--enable-reuse" if self.enable_reuse else "--disable-reuse",
556 "--collection-cache-size=%s" % self.collection_cache_size]
559 command.append("--output-name=" + self.output_name)
560 container_req["output_name"] = self.output_name
563 command.append("--output-tags=" + self.output_tags)
565 if runtimeContext.debug:
566 command.append("--debug")
568 if runtimeContext.storage_classes != "default" and runtimeContext.storage_classes:
569 command.append("--storage-classes=" + runtimeContext.storage_classes)
571 if runtimeContext.intermediate_storage_classes != "default" and runtimeContext.intermediate_storage_classes:
572 command.append("--intermediate-storage-classes=" + runtimeContext.intermediate_storage_classes)
574 if runtimeContext.on_error:
575 command.append("--on-error=" + self.on_error)
577 if runtimeContext.intermediate_output_ttl:
578 command.append("--intermediate-output-ttl=%d" % runtimeContext.intermediate_output_ttl)
580 if runtimeContext.trash_intermediate:
581 command.append("--trash-intermediate")
583 if runtimeContext.project_uuid:
584 command.append("--project-uuid="+runtimeContext.project_uuid)
587 command.append("--enable-dev")
589 if runtimeContext.enable_preemptible is True:
590 command.append("--enable-preemptible")
592 if runtimeContext.enable_preemptible is False:
593 command.append("--disable-preemptible")
595 command.extend([workflowpath, "/var/lib/cwl/cwl.input.json"])
597 container_req["command"] = command
602 def run(self, runtimeContext):
603 runtimeContext.keepprefix = "keep:"
604 job_spec = self.arvados_job_spec(runtimeContext, self.git_info)
605 if runtimeContext.project_uuid:
606 job_spec["owner_uuid"] = runtimeContext.project_uuid
608 extra_submit_params = {}
609 if runtimeContext.submit_runner_cluster:
610 extra_submit_params["cluster_id"] = runtimeContext.submit_runner_cluster
612 if runtimeContext.submit_request_uuid:
613 if "cluster_id" in extra_submit_params:
614 # Doesn't make sense for "update" and actually fails
615 del extra_submit_params["cluster_id"]
616 response = self.arvrunner.api.container_requests().update(
617 uuid=runtimeContext.submit_request_uuid,
619 **extra_submit_params
620 ).execute(num_retries=self.arvrunner.num_retries)
622 response = self.arvrunner.api.container_requests().create(
624 **extra_submit_params
625 ).execute(num_retries=self.arvrunner.num_retries)
627 self.uuid = response["uuid"]
628 self.arvrunner.process_submitted(self)
630 logger.info("%s submitted container_request %s", self.arvrunner.label(self), response["uuid"])
632 workbench1 = self.arvrunner.api.config()["Services"]["Workbench1"]["ExternalURL"]
633 workbench2 = self.arvrunner.api.config()["Services"]["Workbench2"]["ExternalURL"]
636 url = "{}processes/{}".format(workbench2, response["uuid"])
638 url = "{}container_requests/{}".format(workbench1, response["uuid"])
640 logger.info("Monitor workflow progress at %s", url)
643 def done(self, record):
645 container = self.arvrunner.api.containers().get(
646 uuid=record["container_uuid"]
647 ).execute(num_retries=self.arvrunner.num_retries)
648 container["log"] = record["log_uuid"]
650 logger.exception("%s while getting runner container", self.arvrunner.label(self))
651 self.arvrunner.output_callback({}, "permanentFail")
653 super(RunnerContainer, self).done(container)