with Perf(metrics, "done %s" % self.name):
self.done(response)
except Exception as e:
- logger.error("Got error %s" % str(e))
+ logger.exception("Job %s error" % (self.name))
self.output_callback({}, "permanentFail")
def update_pipeline_component(self, record):
outputs = done.done(self, record, dirs["tmpdir"],
dirs["outdir"], dirs["keep"])
except WorkflowException as e:
- logger.error("Error while collecting job outputs:\n%s", e, exc_info=(e if self.arvrunner.debug else False))
+ logger.error("Error while collecting output for job %s:\n%s", self.name, e, exc_info=(e if self.arvrunner.debug else False))
processStatus = "permanentFail"
- outputs = None
except Exception as e:
- logger.exception("Got unknown exception while collecting job outputs:")
+ logger.exception("Got unknown exception while collecting output for job %s:", self.name)
+ processStatus = "permanentFail"
+
+ # Note: Currently, on error output_callback is expecting an empty dict,
+ # anything else will fail.
+ if not isinstance(outputs, dict):
+ logger.error("Unexpected output type %s '%s'", type(outputs), outputs)
+ outputs = {}
processStatus = "permanentFail"
- outputs = None
self.output_callback(outputs, processStatus)
finally:
"repository": "arvados",
"script_parameters": self.job_order,
"runtime_constraints": {
- "docker_image": arvados_jobs_image(self.arvrunner)
+ "docker_image": arvados_jobs_image(self.arvrunner),
+ "min_ram_mb_per_node": self.submit_runner_ram
}
}
'string': 'text',
}
- def __init__(self, runner, tool, job_order, enable_reuse, uuid):
+ def __init__(self, runner, tool, job_order, enable_reuse, uuid, submit_runner_ram=0):
self.runner = runner
self.tool = tool
self.job = RunnerJob(
job_order=job_order,
enable_reuse=enable_reuse,
output_name=None,
- output_tags=None)
+ output_tags=None,
+ submit_runner_ram=submit_runner_ram)
self.uuid = uuid
def pipeline_component_spec(self):