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workload_gen.py
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#!/usr/bin/env python
#
# Copyright 2018 HLRS, University of Stuttgart
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""HPC Workload Generator for Scotty CI."""
# @Author: Nico Struckmann, [email protected]
# @COMPANY: HLRS, University of Stuttgart
# @Date: 2018-01-31
import logging
from scotty import utils
from api.experiment_config import ExperimentConfig
from api.hpc_backend import HPCBackend
logger = logging.getLogger(__name__)
hpcBackend = None
jobID = None
def run(context):
workloadDef = context.v1.workload
# logging
logger.info("HPC workload generator '{}' starting.".format(workloadDef.name))
# get the helper
exp_helper = utils.ExperimentHelper(context)
# initialize experiment configuration
experimentCfg = ExperimentConfig(workloadDef)
# initialize HPC back-end connection handler
hpcConfig = experimentCfg.getHPCConfig()
hpcBackend = HPCBackend(hpcConfig)
# execute the experiment
try:
hpcBackend.run_experiment(experimentCfg)
except Exception as e:
logger.error(e)
# downwards compatibility, thus try/catch if not implemented
try:
workloadDef.failed()
except Exception as ex:
pass
return None;
# cache jobID for clean up
jobID = experimentCfg.get_job_id();
# construct result paths
stdoutPath = hpcConfig.get_value('execution_dir') + experimentCfg.get_job_script() + 'o' + experimentCfg.get_stripped_job_id()
stdErrPath = hpcConfig.get_value('execution_dir') + experimentCfg.get_job_script() + 'e' + experimentCfg.get_stripped_job_id()
vtorque_log = hpcConfig.get_value('path_vtorque_log') + "/" + experimentCfg.get_job_id() + "debug.log"
# return results
return {
"endpoint" : {
"identifier": "submission host",
"host" : hpcConfig.get_value('host')
},
"data" : {
"stdout" : stdoutPath,
"stderr" : stdErrPath,
"vtorque_log" : vtorque_log
},
"config" : experimentCfg,
"backend" : "HPC"
}
def clean(context):
if hpcBackend is not None:
hpcBackend.cleanUp(jobID)