args.cwl_runner_job={"uuid": arvados.current_job()["uuid"], "state": arvados.current_job()["state"]}
outputObj = runner.arv_executor(t, job_order_object, **vars(args))
- files = {}
- def capture(fileobj):
- path = fileobj["location"]
- sp = path.split("/")
- col = sp[0][5:]
- if col not in files:
- files[col] = set()
- files[col].add("/".join(sp[1:]))
- fileobj["location"] = path
-
- adjustFileObjs(outputObj, capture)
-
- final = arvados.collection.Collection()
-
- for k,v in files.iteritems():
- with arvados.collection.Collection(k) as c:
- for f in c:
- final.copy(f, f, c, True)
-
- def makeRelative(fileobj):
- fileobj["location"] = "/".join(fileobj["location"].split("/")[1:])
-
- adjustFileObjs(outputObj, makeRelative)
-
- with final.open("cwl.output.json", "w") as f:
- json.dump(outputObj, f, indent=4)
+ if runner.final_output_collection:
+ outputCollection = runner.final_output_collection.portable_data_hash()
+ else:
+ outputCollection = None
api.job_tasks().update(uuid=arvados.current_task()['uuid'],
body={
- 'output': final.save_new(create_collection_record=False),
+ 'output': outputCollection,
'success': True,
'progress':1.0
}).execute()
import sys
import threading
import hashlib
+import copy
+import json
from functools import partial
import pkg_resources # part of setuptools
from .arvworkflow import ArvadosWorkflow, upload_workflow
from .fsaccess import CollectionFsAccess
from .perf import Perf
-from cwltool.pack import pack
+from .pathmapper import InitialWorkDirPathMapper
+from cwltool.pack import pack
from cwltool.process import shortname, UnsupportedRequirement
-from cwltool.pathmapper import adjustFileObjs
+from cwltool.pathmapper import adjustFileObjs, adjustDirObjs
from cwltool.draft2tool import compute_checksums
from arvados.api import OrderedJsonModel
self.stop_polling = threading.Event()
self.poll_api = None
self.pipeline = None
+ self.final_output_collection = None
if self.work_api is None:
# todo: autodetect API to use.
for v in obj:
self.check_writable(v)
+ def make_output_collection(self, name, outputObj):
+ outputObj = copy.deepcopy(outputObj)
+
+ files = []
+ def capture(fileobj):
+ files.append(fileobj)
+
+ adjustDirObjs(outputObj, capture)
+ adjustFileObjs(outputObj, capture)
+
+ generatemapper = InitialWorkDirPathMapper(files, "", "",
+ separateDirs=False)
+
+ final = arvados.collection.Collection()
+
+ srccollections = {}
+ for k,v in generatemapper.items():
+ sp = k.split("/")
+ srccollection = sp[0][5:]
+ if srccollection not in srccollections:
+ srccollections[srccollection] = arvados.collection.CollectionReader(srccollection)
+ reader = srccollections[srccollection]
+ try:
+ final.copy("/".join(sp[1:]), v.target, source_collection=reader, overwrite=False)
+ except IOError as e:
+ logger.warn("While preparing output collection: %s", e)
+
+ def rewrite(fileobj):
+ fileobj["location"] = generatemapper.mapper(fileobj["location"])
+
+ adjustDirObjs(outputObj, capture)
+ adjustFileObjs(outputObj, capture)
+
+ with final.open("cwl.output.json", "w") as f:
+ json.dump(outputObj, f, indent=4)
+
+ final.save_new(name=name, owner_uuid=self.project_uuid, ensure_unique_name=True)
+
+ logger.info("Final output collection %s (%s)", final.portable_data_hash(), final.manifest_locator())
+
+ self.final_output_collection = final
+
def arv_executor(self, tool, job_order, **kwargs):
self.debug = kwargs.get("debug")
if kwargs.get("compute_checksum"):
adjustFileObjs(self.final_output, partial(compute_checksums, self.fs_access))
+ if kwargs.get("submit"):
+ logger.info("Final output collection %s", runnerjob.final_output)
+ else:
+ self.make_output_collection("Output of %s" % (shortname(tool.tool["id"])),
+ self.final_output)
+
return self.final_output