from cwltool.command_line_tool import CommandLineTool
import cwltool.workflow
-from cwltool.process import scandeps, UnsupportedRequirement, normalizeFilesDirs, shortname
+from cwltool.process import scandeps, UnsupportedRequirement, normalizeFilesDirs, shortname, Process
from cwltool.load_tool import fetch_document
from cwltool.pathmapper import adjustFileObjs, adjustDirObjs, visit_class
from cwltool.utils import aslist
return collection.portable_data_hash()
-class Runner(object):
+class Runner(Process):
"""Base class for runner processes, which submit an instance of
arvados-cwl-runner and wait for the final result."""
- def __init__(self, runner, tool, job_order, enable_reuse,
+ def __init__(self, runner, tool, loadingContext, enable_reuse,
output_name, output_tags, submit_runner_ram=0,
name=None, on_error=None, submit_runner_image=None,
intermediate_output_ttl=0, merged_map=None,
- priority=None, secret_store=None):
+ priority=None, secret_store=None,
+ collection_cache_size=256,
+ collection_cache_is_default=True):
+
+ super(Runner, self).__init__(tool.tool, loadingContext)
+
self.arvrunner = runner
- self.tool = tool
- self.job_order = job_order
+ self.embedded_tool = tool
+ self.job_order = None
self.running = False
if enable_reuse:
# If reuse is permitted by command line arguments but
# disabled by the workflow itself, disable it.
- reuse_req, _ = self.tool.get_requirement("http://arvados.org/cwl#ReuseRequirement")
+ reuse_req, _ = self.embedded_tool.get_requirement("http://arvados.org/cwl#ReuseRequirement")
if reuse_req:
enable_reuse = reuse_req["enableReuse"]
self.enable_reuse = enable_reuse
self.submit_runner_cores = 1
self.submit_runner_ram = 1024 # defaut 1 GiB
+ self.collection_cache_size = collection_cache_size
- runner_resource_req, _ = self.tool.get_requirement("http://arvados.org/cwl#WorkflowRunnerResources")
+ runner_resource_req, _ = self.embedded_tool.get_requirement("http://arvados.org/cwl#WorkflowRunnerResources")
if runner_resource_req:
if runner_resource_req.get("coresMin"):
self.submit_runner_cores = runner_resource_req["coresMin"]
if runner_resource_req.get("ramMin"):
self.submit_runner_ram = runner_resource_req["ramMin"]
+ if runner_resource_req.get("keep_cache") and collection_cache_is_default:
+ self.collection_cache_size = runner_resource_req["keep_cache"]
if submit_runner_ram:
# Command line / initializer overrides default and/or spec from workflow
self.merged_map = merged_map or {}
+ def job(self,
+ job_order, # type: Mapping[Text, Text]
+ output_callbacks, # type: Callable[[Any, Any], Any]
+ runtimeContext # type: RuntimeContext
+ ): # type: (...) -> Generator[Any, None, None]
+ self.job_order = job_order
+ self._init_job(job_order, runtimeContext)
+ yield self
+
def update_pipeline_component(self, record):
pass