+from past.builtins import basestring
+from builtins import object
# Copyright (C) The Arvados Authors. All rights reserved.
#
# SPDX-License-Identifier: Apache-2.0
import json
import time
-from cwltool.process import get_feature, shortname, UnsupportedRequirement
+from cwltool.process import shortname, UnsupportedRequirement
from cwltool.errors import WorkflowException
-from cwltool.draft2tool import revmap_file, CommandLineTool
+from cwltool.command_line_tool import revmap_file, CommandLineTool
from cwltool.load_tool import fetch_document
from cwltool.builder import Builder
-from cwltool.pathmapper import adjustFileObjs, adjustDirObjs
+from cwltool.pathmapper import adjustFileObjs, adjustDirObjs, visit_class
+from cwltool.job import JobBase
from schema_salad.sourceline import SourceLine
+import arvados_cwl.util
import ruamel.yaml as yaml
import arvados.collection
from arvados.errors import ApiError
from .arvdocker import arv_docker_get_image
-from .runner import Runner, arvados_jobs_image, packed_workflow, upload_workflow_collection, trim_anonymous_location
+from .runner import Runner, arvados_jobs_image, packed_workflow, upload_workflow_collection, trim_anonymous_location, remove_redundant_fields
from .pathmapper import VwdPathMapper, trim_listing
from .perf import Perf
from . import done
from ._version import __version__
+from .util import get_intermediate_collection_info
logger = logging.getLogger('arvados.cwl-runner')
metrics = logging.getLogger('arvados.cwl-runner.metrics')
-crunchrunner_re = re.compile(r"^\S+ \S+ \d+ \d+ stderr \S+ \S+ crunchrunner: \$\(task\.(tmpdir|outdir|keep)\)=(.*)")
+crunchrunner_re = re.compile(r"^.*crunchrunner: \$\(task\.(tmpdir|outdir|keep)\)=(.*)$")
crunchrunner_git_commit = 'a3f2cb186e437bfce0031b024b2157b73ed2717d'
-class ArvadosJob(object):
+class ArvadosJob(JobBase):
"""Submit and manage a Crunch job for executing a CWL CommandLineTool."""
- def __init__(self, runner):
+ def __init__(self, runner,
+ builder, # type: Builder
+ joborder, # type: Dict[Text, Union[Dict[Text, Any], List, Text]]
+ make_path_mapper, # type: Callable[..., PathMapper]
+ requirements, # type: List[Dict[Text, Text]]
+ hints, # type: List[Dict[Text, Text]]
+ name # type: Text
+ ):
+ super(ArvadosJob, self).__init__(builder, joborder, make_path_mapper, requirements, hints, name)
self.arvrunner = runner
self.running = False
self.uuid = None
- def run(self, dry_run=False, pull_image=True, **kwargs):
+ def run(self, runtimeContext):
script_parameters = {
"command": self.command_line
}
keep_client=self.arvrunner.keep_client,
num_retries=self.arvrunner.num_retries)
script_parameters["task.vwd"] = {}
- generatemapper = VwdPathMapper([self.generatefiles], "", "",
+ generatemapper = VwdPathMapper(self.generatefiles["listing"], "", "",
separateDirs=False)
with Perf(metrics, "createfiles %s" % self.name):
- for f, p in generatemapper.items():
+ for f, p in list(generatemapper.items()):
if p.type == "CreateFile":
with vwd.open(p.target, "w") as n:
n.write(p.resolved.encode("utf-8"))
if vwd:
with Perf(metrics, "generatefiles.save_new %s" % self.name):
- vwd.save_new()
-
- for f, p in generatemapper.items():
+ info = get_intermediate_collection_info(self.name, None, runtimeContext.intermediate_output_ttl)
+ vwd.save_new(name=info["name"],
+ owner_uuid=self.arvrunner.project_uuid,
+ ensure_unique_name=True,
+ trash_at=info["trash_at"],
+ properties=info["properties"])
+
+ for f, p in list(generatemapper.items()):
if p.type == "File":
script_parameters["task.vwd"][p.target] = p.resolved
if p.type == "CreateFile":
script_parameters["task.permanentFailCodes"] = self.permanentFailCodes
with Perf(metrics, "arv_docker_get_image %s" % self.name):
- (docker_req, docker_is_req) = get_feature(self, "DockerRequirement")
- if docker_req and kwargs.get("use_container") is not False:
+ (docker_req, docker_is_req) = self.get_requirement("DockerRequirement")
+ if docker_req and runtimeContext.use_container is not False:
if docker_req.get("dockerOutputDirectory"):
raise SourceLine(docker_req, "dockerOutputDirectory", UnsupportedRequirement).makeError(
"Option 'dockerOutputDirectory' of DockerRequirement not supported.")
- runtime_constraints["docker_image"] = arv_docker_get_image(self.arvrunner.api, docker_req, pull_image, self.arvrunner.project_uuid)
+ runtime_constraints["docker_image"] = arv_docker_get_image(self.arvrunner.api,
+ docker_req,
+ runtimeContext.pull_image,
+ self.arvrunner.project_uuid)
else:
runtime_constraints["docker_image"] = "arvados/jobs"
runtime_constraints["min_ram_mb_per_node"] = resources.get("ram")
runtime_constraints["min_scratch_mb_per_node"] = resources.get("tmpdirSize", 0) + resources.get("outdirSize", 0)
- runtime_req, _ = get_feature(self, "http://arvados.org/cwl#RuntimeConstraints")
+ runtime_req, _ = self.get_requirement("http://arvados.org/cwl#RuntimeConstraints")
if runtime_req:
if "keep_cache" in runtime_req:
runtime_constraints["keep_cache_mb_per_task"] = runtime_req["keep_cache"]
if not self.arvrunner.ignore_docker_for_reuse:
filters.append(["docker_image_locator", "in docker", runtime_constraints["docker_image"]])
- enable_reuse = kwargs.get("enable_reuse", True)
+ enable_reuse = runtimeContext.enable_reuse
if enable_reuse:
- reuse_req, _ = get_feature(self, "http://arvados.org/cwl#ReuseRequirement")
+ reuse_req, _ = self.get_requirement("http://arvados.org/cwl#ReuseRequirement")
if reuse_req:
enable_reuse = reuse_req["enableReuse"]
+ self.output_callback = self.arvrunner.get_wrapped_callback(self.output_callback)
+
try:
with Perf(metrics, "create %s" % self.name):
response = self.arvrunner.api.jobs().create(
find_or_create=enable_reuse
).execute(num_retries=self.arvrunner.num_retries)
- self.arvrunner.processes[response["uuid"]] = self
+ self.uuid = response["uuid"]
+ self.arvrunner.process_submitted(self)
self.update_pipeline_component(response)
logger.info("Creating read permission on job %s: %s",
response["uuid"],
e)
-
- with Perf(metrics, "done %s" % self.name):
- self.done(response)
else:
logger.info("%s %s is %s", self.arvrunner.label(self), response["uuid"], response["state"])
except Exception as e:
self.output_callback({}, "permanentFail")
def update_pipeline_component(self, record):
- if self.arvrunner.pipeline:
- self.arvrunner.pipeline["components"][self.name] = {"job": record}
- with Perf(metrics, "update_pipeline_component %s" % self.name):
- self.arvrunner.pipeline = self.arvrunner.api.pipeline_instances().update(uuid=self.arvrunner.pipeline["uuid"],
- body={
- "components": self.arvrunner.pipeline["components"]
- }).execute(num_retries=self.arvrunner.num_retries)
- if self.arvrunner.uuid:
- try:
- job = self.arvrunner.api.jobs().get(uuid=self.arvrunner.uuid).execute()
- if job:
- components = job["components"]
- components[self.name] = record["uuid"]
- self.arvrunner.api.jobs().update(uuid=self.arvrunner.uuid,
+ with self.arvrunner.workflow_eval_lock:
+ if self.arvrunner.pipeline:
+ self.arvrunner.pipeline["components"][self.name] = {"job": record}
+ with Perf(metrics, "update_pipeline_component %s" % self.name):
+ self.arvrunner.pipeline = self.arvrunner.api.pipeline_instances().update(
+ uuid=self.arvrunner.pipeline["uuid"],
body={
- "components": components
+ "components": self.arvrunner.pipeline["components"]
}).execute(num_retries=self.arvrunner.num_retries)
- except Exception as e:
- logger.info("Error adding to components: %s", e)
+ if self.arvrunner.uuid:
+ try:
+ job = self.arvrunner.api.jobs().get(uuid=self.arvrunner.uuid).execute()
+ if job:
+ components = job["components"]
+ components[self.name] = record["uuid"]
+ self.arvrunner.api.jobs().update(
+ uuid=self.arvrunner.uuid,
+ body={
+ "components": components
+ }).execute(num_retries=self.arvrunner.num_retries)
+ except Exception as e:
+ logger.info("Error adding to components: %s", e)
def done(self, record):
try:
api_client=self.arvrunner.api,
keep_client=self.arvrunner.keep_client,
num_retries=self.arvrunner.num_retries)
- log = logc.open(logc.keys()[0])
- dirs = {}
- tmpdir = None
- outdir = None
- keepdir = None
+ log = logc.open(list(logc.keys())[0])
+ dirs = {
+ "tmpdir": "/tmpdir",
+ "outdir": "/outdir",
+ "keep": "/keep"
+ }
for l in log:
- # Determine the tmpdir, outdir and keepdir paths from
+ # Determine the tmpdir, outdir and keep paths from
# the job run. Unfortunately, we can't take the first
# values we find (which are expected to be near the
# top) and stop scanning because if the node fails and
dirs[g.group(1)] = g.group(2)
if processStatus == "permanentFail":
- done.logtail(logc, logger, "%s error log:" % self.arvrunner.label(self))
+ done.logtail(logc, logger.error, "%s (%s) error log:" % (self.arvrunner.label(self), record["uuid"]), maxlen=40)
with Perf(metrics, "output collection %s" % self.name):
outputs = done.done(self, record, dirs["tmpdir"],
processStatus = "permanentFail"
finally:
self.output_callback(outputs, processStatus)
- if record["uuid"] in self.arvrunner.processes:
- del self.arvrunner.processes[record["uuid"]]
+
class RunnerJob(Runner):
"""Submit and manage a Crunch job that runs crunch_scripts/cwl-runner."""
- def arvados_job_spec(self, dry_run=False, pull_image=True, **kwargs):
+ def arvados_job_spec(self, debug=False):
"""Create an Arvados job specification for this workflow.
The returned dict can be used to create a job (i.e., passed as
a pipeline template or pipeline instance.
"""
- if self.tool.tool["id"].startswith("keep:"):
- self.job_order["cwl:tool"] = self.tool.tool["id"][5:]
+ if self.embedded_tool.tool["id"].startswith("keep:"):
+ self.job_order["cwl:tool"] = self.embedded_tool.tool["id"][5:]
else:
- packed = packed_workflow(self.arvrunner, self.tool)
+ packed = packed_workflow(self.arvrunner, self.embedded_tool, self.merged_map)
wf_pdh = upload_workflow_collection(self.arvrunner, self.name, packed)
self.job_order["cwl:tool"] = "%s/workflow.cwl#main" % wf_pdh
adjustDirObjs(self.job_order, trim_listing)
- adjustFileObjs(self.job_order, trim_anonymous_location)
- adjustDirObjs(self.job_order, trim_anonymous_location)
+ visit_class(self.job_order, ("File", "Directory"), trim_anonymous_location)
+ visit_class(self.job_order, ("File", "Directory"), remove_redundant_fields)
if self.output_name:
self.job_order["arv:output_name"] = self.output_name
if self.on_error:
self.job_order["arv:on_error"] = self.on_error
+ if debug:
+ self.job_order["arv:debug"] = True
+
return {
"script": "cwl-runner",
"script_version": "master",
}
}
- def run(self, *args, **kwargs):
- job_spec = self.arvados_job_spec(*args, **kwargs)
+ def run(self, runtimeContext):
+ job_spec = self.arvados_job_spec(runtimeContext.debug)
job_spec.setdefault("owner_uuid", self.arvrunner.project_uuid)
find_or_create=self.enable_reuse
).execute(num_retries=self.arvrunner.num_retries)
- for k,v in job_spec["script_parameters"].items():
+ for k,v in list(job_spec["script_parameters"].items()):
if v is False or v is None or isinstance(v, dict):
job_spec["script_parameters"][k] = {"value": v}
del job_spec["owner_uuid"]
job_spec["job"] = job
+
+ instance_spec = {
+ "owner_uuid": self.arvrunner.project_uuid,
+ "name": self.name,
+ "components": {
+ "cwl-runner": job_spec,
+ },
+ "state": "RunningOnServer",
+ }
+ if not self.enable_reuse:
+ instance_spec["properties"] = {"run_options": {"enable_job_reuse": False}}
+
self.arvrunner.pipeline = self.arvrunner.api.pipeline_instances().create(
- body={
- "owner_uuid": self.arvrunner.project_uuid,
- "name": self.name,
- "components": {"cwl-runner": job_spec },
- "state": "RunningOnServer"}).execute(num_retries=self.arvrunner.num_retries)
+ body=instance_spec).execute(num_retries=self.arvrunner.num_retries)
logger.info("Created pipeline %s", self.arvrunner.pipeline["uuid"])
- if kwargs.get("wait") is False:
+ if runtimeContext.wait is False:
self.uuid = self.arvrunner.pipeline["uuid"]
return
self.uuid = job["uuid"]
- self.arvrunner.processes[self.uuid] = self
-
- if job["state"] in ("Complete", "Failed", "Cancelled"):
- self.done(job)
+ self.arvrunner.process_submitted(self)
class RunnerTemplate(object):
}
def __init__(self, runner, tool, job_order, enable_reuse, uuid,
- submit_runner_ram=0, name=None):
+ submit_runner_ram=0, name=None, merged_map=None,
+ loadingContext=None):
self.runner = runner
- self.tool = tool
+ self.embedded_tool = tool
self.job = RunnerJob(
runner=runner,
tool=tool,
- job_order=job_order,
enable_reuse=enable_reuse,
output_name=None,
output_tags=None,
submit_runner_ram=submit_runner_ram,
- name=name)
+ name=name,
+ merged_map=merged_map,
+ loadingContext=loadingContext)
+ self.job.job_order = job_order
self.uuid = uuid
def pipeline_component_spec(self):
job_params = spec['script_parameters']
spec['script_parameters'] = {}
- for param in self.tool.tool['inputs']:
+ for param in self.embedded_tool.tool['inputs']:
param = copy.deepcopy(param)
# Data type and "required" flag...
projects / arvados.git / blobdiff