0ae5a7cebc
This patch introduces a new workload called "ocp_on_osp". This workload installs Openshift cluster on Openstack as a part of Dynamic Workloads. Change-Id: I5c0a1ef04bf0e82563e7d17fdd9688f938d1e33f
88 lines
3.6 KiB
Python
88 lines
3.6 KiB
Python
# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import subprocess
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from rally.task import atomic
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class OcpOnOspDynamicScenario():
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def install_ocp_cluster(self):
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"""Installs openshift cluster on openstack"""
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ansible_log_file = "ocp_ansible_iter_{}.log".format(self.context["iteration"])
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cmd = ("ansible-playbook -vvv /home/stack/browbeat/ocp_on_osp/ocp_on_osp.yml &> "
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"/home/stack/ocp_ansible_logs/{}").format(ansible_log_file)
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aname = "ocp_on_osp"
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with atomic.ActionTimer(self, aname):
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proc = subprocess.run(cmd, shell=True)
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msg = "openshift cluster installation has failed"
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if proc.returncode != 0:
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self.assertTrue(False, err_msg=msg)
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def run_kube_burner_workload(self, workload, job_iterations, qps, burst, kubeconfig):
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"""Run kube-burner workloads through e2e-benchmarking
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:param workload: str, kube-burner workload to run
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:param job_iterations: int, number of job iterations
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:param qps: int, queries per second
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:param burst: int, burst value to throttle
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:param kubeconfig: str, path to kubeconfig file
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"""
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os.chdir(
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self.browbeat_dir + "/ansible/gather/e2e-benchmarking/workloads/kube-burner"
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)
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e2e_benchmarking_dir = os.getcwd()
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script_file_name = "run_" + workload + "_test_fromgit.sh"
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script_file_path = e2e_benchmarking_dir + "/" + script_file_name
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script_file = open(script_file_path, "r")
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updated_file_content = ""
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if workload == "poddensity":
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job_iters_param = "PODS"
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elif workload == "clusterdensity":
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job_iters_param = "JOB_ITERATIONS"
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elif workload == "maxnamespaces":
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job_iters_param = "NAMESPACE_COUNT"
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elif workload == "maxservices":
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job_iters_param = "SERVICE_COUNT"
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for line in script_file:
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if "/usr/bin/bash" in line:
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updated_file_content += line
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updated_file_content += "export KUBECONFIG=${KUBECONFIG:-"+kubeconfig+"}\n"
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elif "TEST_JOB_ITERATIONS" in line:
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first_part_of_line = line.split("TEST")[0]
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updated_file_content += (
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first_part_of_line + "TEST_JOB_ITERATIONS=${" + job_iters_param +
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":-" + str(job_iterations) + "}\n"
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)
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updated_file_content += "export QPS=" + str(qps) + "\n"
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updated_file_content += "export BURST=" + str(burst) + "\n"
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updated_file_content += "export CLEANUP_WHEN_FINISH=true\n"
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elif ("export KUBECONFIG" not in line and "export QPS" not in line and
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"export BURST" not in line and "export CLEANUP_WHEN_FINISH" not in line):
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updated_file_content += line
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with open(script_file_path, "w") as script_file_writer:
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script_file_writer.write(updated_file_content)
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subprocess.run("./" + script_file_name + " 2>&1 | tee -a log.txt && exit ${PIPESTATUS}",
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shell=True, check=True, executable="/bin/bash")
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os.chdir(self.browbeat_dir)
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