#!/usr/bin/env python
+# Crunch script integration for running arvados-cwl-runner (importing
+# arvados_cwl module) inside a crunch job.
+#
+# This gets the job record, transforms the script parameters into a valid CWL
+# input object, then executes the CWL runner to run the underlying workflow or
+# tool. When the workflow completes, record the output object in an output
+# collection for this runner job.
+
import arvados
import arvados_cwl
import arvados.collection
import os
import json
import argparse
+import re
from arvados.api import OrderedJsonModel
-from cwltool.process import adjustFiles
+from cwltool.process import adjustFileObjs, adjustDirObjs
+from cwltool.load_tool import load_tool
-print cwltool.main.versionstring()
+# Print package versions
+logging.info(cwltool.main.versionstring())
api = arvados.api("v1")
try:
job_order_object = arvados.current_job()['script_parameters']
+ pdh_path = re.compile(r'^[0-9a-f]{32}\+\d+(/.+)?$')
+
def keeppath(v):
- if arvados.util.keep_locator_pattern.match(v):
- return "file://%s/%s" % (os.environ['TASK_KEEPMOUNT'], v)
+ if pdh_path.match(v):
+ return "keep:%s" % v
+ else:
+ return v
+
+ def keeppathObj(v):
+ v["location"] = keeppath(v["location"])
+
+ job_order_object["cwl:tool"] = "file://%s/%s" % (os.environ['TASK_KEEPMOUNT'], job_order_object["cwl:tool"])
- job_order_object["cwl:tool"] = keeppath(job_order_object["cwl:tool"])
+ for k,v in job_order_object.items():
+ if isinstance(v, basestring) and arvados.util.keep_locator_pattern.match(v):
+ job_order_object[k] = {
+ "class": "File",
+ "location": "keep:%s" % v
+ }
- adjustFiles(job_order_object, keeppath)
+ adjustFileObjs(job_order_object, keeppathObj)
+ adjustDirObjs(job_order_object, keeppathObj)
runner = arvados_cwl.ArvCwlRunner(api_client=arvados.api('v1', model=OrderedJsonModel()))
- t = cwltool.main.load_tool(job_order_object, False, True, runner.arvMakeTool, True)
+ t = load_tool(job_order_object, runner.arv_make_tool)
- np = argparse.Namespace()
- np.project_uuid = arvados.current_job()["owner_uuid"]
- np.enable_reuse = True
- np.submit = False
- np.debug = True
- np.quiet = False
- outputObj = runner.arvExecutor(t, job_order_object, "", np, cwl_runner_job={"uuid": arvados.current_job()["uuid"], "state": arvados.current_job()["state"]})
+ args = argparse.Namespace()
+ args.project_uuid = arvados.current_job()["owner_uuid"]
+ args.enable_reuse = True
+ args.submit = False
+ args.debug = True
+ args.quiet = False
+ args.ignore_docker_for_reuse = False
+ args.basedir = os.getcwd()
+ 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(path):
+ 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:]))
- return path
+ fileobj["location"] = path
- adjustFiles(outputObj, capture)
+ adjustFileObjs(outputObj, capture)
final = arvados.collection.Collection()
for f in c:
final.copy(f, f, c, True)
- def makeRelative(path):
- return "/".join(path.split("/")[1:])
+ def makeRelative(fileobj):
+ fileobj["location"] = "/".join(fileobj["location"].split("/")[1:])
- adjustFiles(outputObj, makeRelative)
+ adjustFileObjs(outputObj, makeRelative)
with final.open("cwl.output.json", "w") as f:
json.dump(outputObj, f, indent=4)