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
max_res_pars = ("coresMin", "coresMax", "ramMin", "ramMax", "tmpdirMin", "tmpdirMax")
sum_res_pars = ("outdirMin", "outdirMax")
+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"]
+ })
+
+ 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]
+
+ return json.dumps(doc, sort_keys=True, indent=4, separators=(',',': '))
+
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):
+ submit_runner_image=None,
+ git_info=None):
- packed = packed_workflow(arvRunner, tool, merged_map, runtimeContext)
+ packed = packed_workflow(arvRunner, tool, merged_map, runtimeContext, git_info)
adjustDirObjs(job_order, trim_listing)
adjustFileObjs(job_order, trim_anonymous_location)
main["hints"] = hints
+ wrapper = make_wrapper_workflow(arvRunner, main, packed, project_uuid, name, git_info, tool)
+
body = {
"workflow": {
"name": name,
"description": tool.tool.get("doc", ""),
- "definition":json.dumps(packed, sort_keys=True, indent=4, separators=(',',': '))
+ "definition": wrapper
}}
if project_uuid:
body["workflow"]["owner_uuid"] = project_uuid
**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):
if self.wf_pdh is None:
adjustFileObjs(packed, keepmount)
adjustDirObjs(packed, keepmount)
- self.wf_pdh = upload_workflow_collection(self.arvrunner, shortname(self.tool["id"]), packed)
+ self.wf_pdh = upload_workflow_collection(self.arvrunner, shortname(self.tool["id"]), packed, runtimeContext)
self.loadingContext = self.loadingContext.copy()
self.loadingContext.metadata = self.loadingContext.metadata.copy()
projects / arvados.git / blobdiff