#
# SPDX-License-Identifier: Apache-2.0
-from past.builtins import basestring
-from future.utils import viewitems
-
import os
import json
import copy
import logging
+import urllib
+import sys
+import re
+
+from io import StringIO
+from typing import (MutableSequence, MutableMapping)
+
+from ruamel.yaml import YAML
+from ruamel.yaml.comments import CommentedMap, CommentedSeq
from schema_salad.sourceline import SourceLine, cmap
import schema_salad.ref_resolver
+import arvados.collection
+
from cwltool.pack import pack
from cwltool.load_tool import fetch_document, resolve_and_validate_document
-from cwltool.process import shortname
+from cwltool.process import shortname, uniquename
from cwltool.workflow import Workflow, WorkflowException, WorkflowStep
from cwltool.utils import adjustFileObjs, adjustDirObjs, visit_class, normalizeFilesDirs
-from cwltool.context import LoadingContext
+from cwltool.context import LoadingContext, getdefault
+
+from schema_salad.ref_resolver import file_uri, uri_file_path
import ruamel.yaml as yaml
from .runner import (upload_dependencies, packed_workflow, upload_workflow_collection,
trim_anonymous_location, remove_redundant_fields, discover_secondary_files,
- make_builder, arvados_jobs_image)
+ make_builder, arvados_jobs_image, FileUpdates)
+from .arvcontainer import RunnerContainer
from .pathmapper import ArvPathMapper, trim_listing
from .arvtool import ArvadosCommandTool, set_cluster_target
from ._version import __version__
+from .util import common_prefix
+from .arvdocker import arv_docker_get_image
from .perf import Perf
max_res_pars = ("coresMin", "coresMax", "ramMin", "ramMax", "tmpdirMin", "tmpdirMax")
sum_res_pars = ("outdirMin", "outdirMax")
-def upload_workflow(arvRunner, tool, job_order, project_uuid,
- runtimeContext, uuid=None,
- submit_runner_ram=0, name=None, merged_map=None,
- submit_runner_image=None,
- git_info=None):
+_basetype_re = re.compile(r'''(?:
+Directory
+|File
+|array
+|boolean
+|double
+|enum
+|float
+|int
+|long
+|null
+|record
+|string
+)(?:\[\])?\??''', re.VERBOSE)
+
+def make_wrapper_workflow(arvRunner, main, packed, project_uuid, name, git_info, tool):
+ col = arvados.collection.Collection(api_client=arvRunner.api,
+ keep_client=arvRunner.keep_client)
+
+ with col.open("workflow.json", "wt") as f:
+ json.dump(packed, f, sort_keys=True, indent=4, separators=(',',': '))
+
+ pdh = col.portable_data_hash()
+
+ toolname = tool.tool.get("label") or tool.metadata.get("label") or os.path.basename(tool.tool["id"])
+ if git_info and git_info.get("http://arvados.org/cwl#gitDescribe"):
+ toolname = "%s (%s)" % (toolname, git_info.get("http://arvados.org/cwl#gitDescribe"))
+
+ existing = arvRunner.api.collections().list(filters=[["portable_data_hash", "=", pdh], ["owner_uuid", "=", project_uuid]]).execute(num_retries=arvRunner.num_retries)
+ if len(existing["items"]) == 0:
+ col.save_new(name=toolname, owner_uuid=project_uuid, ensure_unique_name=True)
+
+ # now construct the wrapper
+
+ step = {
+ "id": "#main/" + toolname,
+ "in": [],
+ "out": [],
+ "run": "keep:%s/workflow.json#main" % pdh,
+ "label": name
+ }
+
+ newinputs = []
+ for i in main["inputs"]:
+ inp = {}
+ # Make sure to only copy known fields that are meaningful at
+ # the workflow level. In practice this ensures that if we're
+ # wrapping a CommandLineTool we don't grab inputBinding.
+ # Right now also excludes extension fields, which is fine,
+ # Arvados doesn't currently look for any extension fields on
+ # input parameters.
+ for f in ("type", "label", "secondaryFiles", "streamable",
+ "doc", "id", "format", "loadContents",
+ "loadListing", "default"):
+ if f in i:
+ inp[f] = i[f]
+ newinputs.append(inp)
+
+ wrapper = {
+ "class": "Workflow",
+ "id": "#main",
+ "inputs": newinputs,
+ "outputs": [],
+ "steps": [step]
+ }
+
+ for i in main["inputs"]:
+ step["in"].append({
+ "id": "#main/step/%s" % shortname(i["id"]),
+ "source": i["id"]
+ })
- packed = packed_workflow(arvRunner, tool, merged_map, runtimeContext, git_info)
+ for i in main["outputs"]:
+ step["out"].append({"id": "#main/step/%s" % shortname(i["id"])})
+ wrapper["outputs"].append({"outputSource": "#main/step/%s" % shortname(i["id"]),
+ "type": i["type"],
+ "id": i["id"]})
+
+ wrapper["requirements"] = [{"class": "SubworkflowFeatureRequirement"}]
+
+ if main.get("requirements"):
+ wrapper["requirements"].extend(main["requirements"])
+ if main.get("hints"):
+ wrapper["hints"] = main["hints"]
+
+ doc = {"cwlVersion": "v1.2", "$graph": [wrapper]}
+
+ if git_info:
+ for g in git_info:
+ doc[g] = git_info[g]
- adjustDirObjs(job_order, trim_listing)
- adjustFileObjs(job_order, trim_anonymous_location)
- adjustDirObjs(job_order, trim_anonymous_location)
+ return json.dumps(doc, sort_keys=True, indent=4, separators=(',',': '))
+
+
+def rel_ref(s, baseuri, urlexpander, merged_map, jobmapper):
+ if s.startswith("keep:") or s.startswith("arvwf:"):
+ return s
+
+ uri = urlexpander(s, baseuri)
+
+ if uri.startswith("keep:"):
+ return uri
+
+ fileuri = urllib.parse.urldefrag(baseuri)[0]
+
+ for u in (baseuri, fileuri):
+ if u in merged_map:
+ replacements = merged_map[u].resolved
+ if uri in replacements:
+ return replacements[uri]
+
+ if uri in jobmapper:
+ return jobmapper.mapper(uri).target
+
+ p1 = os.path.dirname(uri_file_path(fileuri))
+ p2 = os.path.dirname(uri_file_path(uri))
+ p3 = os.path.basename(uri_file_path(uri))
+
+ r = os.path.relpath(p2, p1)
+ if r == ".":
+ r = ""
+
+ return os.path.join(r, p3)
+
+def is_basetype(tp):
+ return _basetype_re.match(tp) is not None
+
+def update_refs(api, d, baseuri, urlexpander, merged_map, jobmapper, runtimeContext, prefix, replacePrefix):
+ if isinstance(d, MutableSequence):
+ for i, s in enumerate(d):
+ if prefix and isinstance(s, str):
+ if s.startswith(prefix):
+ d[i] = replacePrefix+s[len(prefix):]
+ else:
+ update_refs(api, s, baseuri, urlexpander, merged_map, jobmapper, runtimeContext, prefix, replacePrefix)
+ elif isinstance(d, MutableMapping):
+ for field in ("id", "name"):
+ if isinstance(d.get(field), str) and d[field].startswith("_:"):
+ # blank node reference, was added in automatically, can get rid of it.
+ del d[field]
+
+ if "id" in d:
+ baseuri = urlexpander(d["id"], baseuri, scoped_id=True)
+ elif "name" in d and isinstance(d["name"], str):
+ baseuri = urlexpander(d["name"], baseuri, scoped_id=True)
+
+ if d.get("class") == "DockerRequirement":
+ d["http://arvados.org/cwl#dockerCollectionPDH"] = arv_docker_get_image(api, d, False,
+ runtimeContext)
- main = [p for p in packed["$graph"] if p["id"] == "#main"][0]
- for inp in main["inputs"]:
- sn = shortname(inp["id"])
- if sn in job_order:
- inp["default"] = job_order[sn]
+ for field in d:
+ if field in ("location", "run", "name") and isinstance(d[field], str):
+ d[field] = rel_ref(d[field], baseuri, urlexpander, merged_map, jobmapper)
+ continue
- if not name:
- name = tool.tool.get("label", os.path.basename(tool.tool["id"]))
+ if field in ("$include", "$import") and isinstance(d[field], str):
+ d[field] = rel_ref(d[field], baseuri, urlexpander, {}, jobmapper)
+ continue
- upload_dependencies(arvRunner, name, tool.doc_loader,
- packed, tool.tool["id"], False,
- runtimeContext)
+ for t in ("type", "items"):
+ if (field == t and
+ isinstance(d[t], str) and
+ not is_basetype(d[t])):
+ d[t] = rel_ref(d[t], baseuri, urlexpander, merged_map, jobmapper)
+ continue
+
+ if field == "inputs" and isinstance(d["inputs"], MutableMapping):
+ for inp in d["inputs"]:
+ if isinstance(d["inputs"][inp], str) and not is_basetype(d["inputs"][inp]):
+ d["inputs"][inp] = rel_ref(d["inputs"][inp], baseuri, urlexpander, merged_map, jobmapper)
+ if isinstance(d["inputs"][inp], MutableMapping):
+ update_refs(api, d["inputs"][inp], baseuri, urlexpander, merged_map, jobmapper, runtimeContext, prefix, replacePrefix)
+ continue
+
+ if field in ("requirements", "hints") and isinstance(d[field], MutableMapping):
+ dr = d[field].get("DockerRequirement")
+ if dr:
+ dr["http://arvados.org/cwl#dockerCollectionPDH"] = arv_docker_get_image(api, dr, False,
+ runtimeContext)
+
+ if field == "$schemas":
+ for n, s in enumerate(d["$schemas"]):
+ d["$schemas"][n] = rel_ref(d["$schemas"][n], baseuri, urlexpander, merged_map, jobmapper)
+ continue
+
+ update_refs(api, d[field], baseuri, urlexpander, merged_map, jobmapper, runtimeContext, prefix, replacePrefix)
+
+
+def fix_schemadef(req, baseuri, urlexpander, merged_map, jobmapper, pdh):
+ req = copy.deepcopy(req)
+
+ for f in req["types"]:
+ r = f["name"]
+ path, frag = urllib.parse.urldefrag(r)
+ rel = rel_ref(r, baseuri, urlexpander, merged_map, jobmapper)
+ merged_map.setdefault(path, FileUpdates({}, {}))
+ rename = "keep:%s/%s" %(pdh, rel)
+ for mm in merged_map:
+ merged_map[mm].resolved[r] = rename
+ return req
+
+
+def drop_ids(d):
+ if isinstance(d, MutableSequence):
+ for i, s in enumerate(d):
+ drop_ids(s)
+ elif isinstance(d, MutableMapping):
+ if "id" in d and d["id"].startswith("file:"):
+ del d["id"]
+
+ for field in d:
+ drop_ids(d[field])
+
+
+def upload_workflow(arvRunner, tool, job_order, project_uuid,
+ runtimeContext,
+ uuid=None,
+ submit_runner_ram=0, name=None, merged_map=None,
+ submit_runner_image=None,
+ git_info=None,
+ set_defaults=False,
+ jobmapper=None):
+
+ firstfile = None
+ workflow_files = set()
+ import_files = set()
+ include_files = set()
+
+ # The document loader index will have entries for all the files
+ # that were loaded in the process of parsing the entire workflow
+ # (including subworkflows, tools, imports, etc). We use this to
+ # get compose a list of the workflow file dependencies.
+ for w in tool.doc_loader.idx:
+ if w.startswith("file://"):
+ workflow_files.add(urllib.parse.urldefrag(w)[0])
+ if firstfile is None:
+ firstfile = urllib.parse.urldefrag(w)[0]
+ if w.startswith("import:file://"):
+ import_files.add(urllib.parse.urldefrag(w[7:])[0])
+ if w.startswith("include:file://"):
+ include_files.add(urllib.parse.urldefrag(w[8:])[0])
+
+ all_files = workflow_files | import_files | include_files
+
+ # Find the longest common prefix among all the file names. We'll
+ # use this to recreate the directory structure in a keep
+ # collection with correct relative references.
+ prefix = common_prefix(firstfile, all_files) if firstfile else ""
+
+
+ col = arvados.collection.Collection(api_client=arvRunner.api)
+
+ # Now go through all the files and update references to other
+ # files. We previously scanned for file dependencies, these are
+ # are passed in as merged_map.
+ #
+ # note about merged_map: we upload dependencies of each process
+ # object (CommandLineTool/Workflow) to a separate collection.
+ # That way, when the user edits something, this limits collection
+ # PDH changes to just that tool, and minimizes situations where
+ # small changes break container reuse for the whole workflow.
+ #
+ for w in workflow_files | import_files:
+ # 1. load the YAML file
+
+ text = tool.doc_loader.fetch_text(w)
+ if isinstance(text, bytes):
+ textIO = StringIO(text.decode('utf-8'))
+ else:
+ textIO = StringIO(text)
+
+ yamlloader = schema_salad.utils.yaml_no_ts()
+ result = yamlloader.load(textIO)
+
+ # If the whole document is in "flow style" it is probably JSON
+ # formatted. We'll re-export it as JSON because the
+ # ruamel.yaml round-trip mode is a lie and only preserves
+ # "block style" formatting and not "flow style" formatting.
+ export_as_json = result.fa.flow_style()
+
+ # 2. find $import, $include, $schema, run, location
+ # 3. update field value
+ update_refs(arvRunner.api, result, w, tool.doc_loader.expand_url, merged_map, jobmapper, runtimeContext, "", "")
+
+ # Write the updated file to the collection.
+ with col.open(w[len(prefix):], "wt") as f:
+ if export_as_json:
+ json.dump(result, f, indent=4, separators=(',',': '))
+ else:
+ yamlloader.dump(result, stream=f)
+
+ # Also store a verbatim copy of the original files
+ with col.open(os.path.join("original", w[len(prefix):]), "wt") as f:
+ f.write(text)
+
+
+ # Upload files referenced by $include directives, these are used
+ # unchanged and don't need to be updated.
+ for w in include_files:
+ with col.open(w[len(prefix):], "wb") as f1:
+ with col.open(os.path.join("original", w[len(prefix):]), "wb") as f3:
+ with open(uri_file_path(w), "rb") as f2:
+ dat = f2.read(65536)
+ while dat:
+ f1.write(dat)
+ f3.write(dat)
+ dat = f2.read(65536)
+
+ # Now collect metadata: the collection name and git properties.
+
+ toolname = tool.tool.get("label") or tool.metadata.get("label") or os.path.basename(tool.tool["id"])
+ if git_info and git_info.get("http://arvados.org/cwl#gitDescribe"):
+ toolname = "%s (%s)" % (toolname, git_info.get("http://arvados.org/cwl#gitDescribe"))
+
+ toolfile = tool.tool["id"][len(prefix):]
+
+ properties = {
+ "type": "workflow",
+ "arv:workflowMain": toolfile,
+ }
+
+ if git_info:
+ for g in git_info:
+ p = g.split("#", 1)[1]
+ properties["arv:"+p] = git_info[g]
+
+ # Check if a collection with the same content already exists in the target project. If so, just use that one.
+ existing = arvRunner.api.collections().list(filters=[["portable_data_hash", "=", col.portable_data_hash()],
+ ["owner_uuid", "=", arvRunner.project_uuid]]).execute(num_retries=arvRunner.num_retries)
+
+ if len(existing["items"]) == 0:
+ toolname = toolname.replace("/", " ")
+ col.save_new(name=toolname, owner_uuid=arvRunner.project_uuid, ensure_unique_name=True, properties=properties)
+ logger.info("Workflow uploaded to %s", col.manifest_locator())
+ else:
+ logger.info("Workflow uploaded to %s", existing["items"][0]["uuid"])
+
+ # Now that we've updated the workflow and saved it to a
+ # collection, we're going to construct a minimal "wrapper"
+ # workflow which consists of only of input and output parameters
+ # connected to a single step that runs the real workflow.
+
+ runfile = "keep:%s/%s" % (col.portable_data_hash(), toolfile)
+
+ step = {
+ "id": "#main/" + toolname,
+ "in": [],
+ "out": [],
+ "run": runfile,
+ "label": name
+ }
+
+ main = tool.tool
wf_runner_resources = None
wf_runner_resources = {"class": "http://arvados.org/cwl#WorkflowRunnerResources"}
hints.append(wf_runner_resources)
- wf_runner_resources["acrContainerImage"] = arvados_jobs_image(arvRunner,
- submit_runner_image or "arvados/jobs:"+__version__,
- runtimeContext)
+ if "acrContainerImage" not in wf_runner_resources:
+ wf_runner_resources["acrContainerImage"] = arvados_jobs_image(arvRunner,
+ submit_runner_image or "arvados/jobs:"+__version__,
+ runtimeContext)
if submit_runner_ram:
wf_runner_resources["ramMin"] = submit_runner_ram
- main["hints"] = hints
+ # Remove a few redundant fields from the "job order" (aka input
+ # object or input parameters). In the situation where we're
+ # creating or updating a workflow record, any values in the job
+ # order get copied over as default values for input parameters.
+ adjustDirObjs(job_order, trim_listing)
+ adjustFileObjs(job_order, trim_anonymous_location)
+ adjustDirObjs(job_order, trim_anonymous_location)
+
+ newinputs = []
+ for i in main["inputs"]:
+ inp = {}
+ # Make sure to only copy known fields that are meaningful at
+ # the workflow level. In practice this ensures that if we're
+ # wrapping a CommandLineTool we don't grab inputBinding.
+ # Right now also excludes extension fields, which is fine,
+ # Arvados doesn't currently look for any extension fields on
+ # input parameters.
+ for f in ("type", "label", "secondaryFiles", "streamable",
+ "doc", "format", "loadContents",
+ "loadListing", "default"):
+ if f in i:
+ inp[f] = i[f]
+
+ if set_defaults:
+ sn = shortname(i["id"])
+ if sn in job_order:
+ inp["default"] = job_order[sn]
+
+ inp["id"] = "#main/%s" % shortname(i["id"])
+ newinputs.append(inp)
+
+ wrapper = {
+ "class": "Workflow",
+ "id": "#main",
+ "inputs": newinputs,
+ "outputs": [],
+ "steps": [step]
+ }
+
+ for i in main["inputs"]:
+ step["in"].append({
+ "id": "#main/step/%s" % shortname(i["id"]),
+ "source": "#main/%s" % shortname(i["id"])
+ })
+
+ for i in main["outputs"]:
+ step["out"].append({"id": "#main/step/%s" % shortname(i["id"])})
+ wrapper["outputs"].append({"outputSource": "#main/step/%s" % shortname(i["id"]),
+ "type": i["type"],
+ "id": "#main/%s" % shortname(i["id"])})
+
+ wrapper["requirements"] = [{"class": "SubworkflowFeatureRequirement"}]
+
+ if main.get("requirements"):
+ wrapper["requirements"].extend(main["requirements"])
+ if hints:
+ wrapper["hints"] = hints
+
+ # Schema definitions (this lets you define things like record
+ # types) require a special handling.
+
+ for i, r in enumerate(wrapper["requirements"]):
+ if r["class"] == "SchemaDefRequirement":
+ wrapper["requirements"][i] = fix_schemadef(r, main["id"], tool.doc_loader.expand_url, merged_map, jobmapper, col.portable_data_hash())
+
+ update_refs(arvRunner.api, wrapper, main["id"], tool.doc_loader.expand_url, merged_map, jobmapper, runtimeContext, main["id"]+"#", "#main/")
+
+ doc = {"cwlVersion": "v1.2", "$graph": [wrapper]}
+
+ if git_info:
+ for g in git_info:
+ doc[g] = git_info[g]
+
+ # Remove any lingering file references.
+ drop_ids(wrapper)
+
+ return doc
+
+
+def make_workflow_record(arvRunner, doc, name, tool, project_uuid, update_uuid):
+
+ wrappertext = json.dumps(doc, sort_keys=True, indent=4, separators=(',',': '))
body = {
"workflow": {
"name": name,
"description": tool.tool.get("doc", ""),
- "definition":json.dumps(packed, sort_keys=True, indent=4, separators=(',',': '))
+ "definition": wrappertext
}}
if project_uuid:
body["workflow"]["owner_uuid"] = project_uuid
- if uuid:
- call = arvRunner.api.workflows().update(uuid=uuid, body=body)
+ if update_uuid:
+ call = arvRunner.api.workflows().update(uuid=update_uuid, body=body)
else:
call = arvRunner.api.workflows().create(body=body)
return call.execute(num_retries=arvRunner.num_retries)["uuid"]
+
def dedup_reqs(reqs):
dedup = {}
for r in reversed(reqs):
**argv
): # type: (...) -> None
- super(ArvadosWorkflowStep, self).__init__(toolpath_object, pos, loadingContext, *argc, **argv)
- self.tool["class"] = "WorkflowStep"
+ if arvrunner.fast_submit:
+ self.tool = toolpath_object
+ self.tool["inputs"] = []
+ self.tool["outputs"] = []
+ else:
+ super(ArvadosWorkflowStep, self).__init__(toolpath_object, pos, loadingContext, *argc, **argv)
+ self.tool["class"] = "WorkflowStep"
self.arvrunner = arvrunner
def job(self, joborder, output_callback, runtimeContext):
runtimeContext = runtimeContext.copy()
runtimeContext.toplevel = True # Preserve behavior for #13365
- builder = make_builder({shortname(k): v for k,v in viewitems(joborder)}, self.hints, self.requirements,
+ builder = make_builder({shortname(k): v for k, v in joborder.items()}, self.hints, self.requirements,
runtimeContext, self.metadata)
runtimeContext = set_cluster_target(self.tool, self.arvrunner, builder, runtimeContext)
return super(ArvadosWorkflowStep, self).job(joborder, output_callback, runtimeContext)
self.dynamic_resource_req = []
self.static_resource_req = []
self.wf_reffiles = []
- self.loadingContext = loadingContext
- super(ArvadosWorkflow, self).__init__(toolpath_object, loadingContext)
- self.cluster_target_req, _ = self.get_requirement("http://arvados.org/cwl#ClusterTarget")
+ self.loadingContext = loadingContext.copy()
- def job(self, joborder, output_callback, runtimeContext):
+ self.requirements = copy.deepcopy(getdefault(loadingContext.requirements, []))
+ tool_requirements = toolpath_object.get("requirements", [])
+ self.hints = copy.deepcopy(getdefault(loadingContext.hints, []))
+ tool_hints = toolpath_object.get("hints", [])
- builder = make_builder(joborder, self.hints, self.requirements, runtimeContext, self.metadata)
- runtimeContext = set_cluster_target(self.tool, self.arvrunner, builder, runtimeContext)
+ workflow_runner_req, _ = self.get_requirement("http://arvados.org/cwl#WorkflowRunnerResources")
+ if workflow_runner_req and workflow_runner_req.get("acrContainerImage"):
+ self.loadingContext.default_docker_image = workflow_runner_req.get("acrContainerImage")
- req, _ = self.get_requirement("http://arvados.org/cwl#RunInSingleContainer")
- if not req:
- return super(ArvadosWorkflow, self).job(joborder, output_callback, runtimeContext)
+ super(ArvadosWorkflow, self).__init__(toolpath_object, self.loadingContext)
+ self.cluster_target_req, _ = self.get_requirement("http://arvados.org/cwl#ClusterTarget")
- # RunInSingleContainer is true
+ def runInSingleContainer(self, joborder, output_callback, runtimeContext, builder):
with SourceLine(self.tool, None, WorkflowException, logger.isEnabledFor(logging.DEBUG)):
if "id" not in self.tool:
raise WorkflowException("%s object must have 'id'" % (self.tool["class"]))
discover_secondary_files(self.arvrunner.fs_access, builder,
self.tool["inputs"], joborder)
+
normalizeFilesDirs(joborder)
with Perf(metrics, "subworkflow upload_deps"):
self.doc_loader,
joborder,
joborder.get("id", "#"),
- False,
runtimeContext)
if self.wf_pdh is None:
dyn = False
for k in max_res_pars + sum_res_pars:
if k in req:
- if isinstance(req[k], basestring):
+ if isinstance(req[k], str):
if item["id"] == "#main":
# only the top-level requirements/hints may contain expressions
self.dynamic_resource_req.append(req)
self.doc_loader,
packed,
self.tool["id"],
- False,
runtimeContext)
# Discover files/directories referenced by the
})
return ArvadosCommandTool(self.arvrunner, wf_runner, self.loadingContext).job(joborder_resolved, output_callback, runtimeContext)
+
+ def separateRunner(self, joborder, output_callback, runtimeContext, req, builder):
+
+ name = runtimeContext.name
+
+ rpn = req.get("runnerProcessName")
+ if rpn:
+ name = builder.do_eval(rpn)
+
+ return RunnerContainer(self.arvrunner,
+ self,
+ self.loadingContext,
+ runtimeContext.enable_reuse,
+ None,
+ None,
+ submit_runner_ram=runtimeContext.submit_runner_ram,
+ name=name,
+ on_error=runtimeContext.on_error,
+ submit_runner_image=runtimeContext.submit_runner_image,
+ intermediate_output_ttl=runtimeContext.intermediate_output_ttl,
+ merged_map=None,
+ priority=runtimeContext.priority,
+ secret_store=self.arvrunner.secret_store,
+ collection_cache_size=runtimeContext.collection_cache_size,
+ collection_cache_is_default=self.arvrunner.should_estimate_cache_size,
+ git_info=runtimeContext.git_info,
+ reuse_runner=True).job(joborder, output_callback, runtimeContext)
+
+
+ def job(self, joborder, output_callback, runtimeContext):
+
+ builder = make_builder(joborder, self.hints, self.requirements, runtimeContext, self.metadata)
+ runtimeContext = set_cluster_target(self.tool, self.arvrunner, builder, runtimeContext)
+
+ req, _ = self.get_requirement("http://arvados.org/cwl#RunInSingleContainer")
+ if req:
+ return self.runInSingleContainer(joborder, output_callback, runtimeContext, builder)
+
+ req, _ = self.get_requirement("http://arvados.org/cwl#SeparateRunner")
+ if req:
+ return self.separateRunner(joborder, output_callback, runtimeContext, req, builder)
+
+ return super(ArvadosWorkflow, self).job(joborder, output_callback, runtimeContext)
+
+
def make_workflow_step(self,
toolpath_object, # type: Dict[Text, Any]
pos, # type: int
projects / arvados.git / blobdiff