diff options
Diffstat (limited to 'qtip')
-rw-r--r-- | qtip/ansible_library/plugins/action/aggregate.py | 36 | ||||
-rw-r--r-- | qtip/ansible_library/plugins/action/calculate.py | 4 |
2 files changed, 39 insertions, 1 deletions
diff --git a/qtip/ansible_library/plugins/action/aggregate.py b/qtip/ansible_library/plugins/action/aggregate.py new file mode 100644 index 00000000..6e280419 --- /dev/null +++ b/qtip/ansible_library/plugins/action/aggregate.py @@ -0,0 +1,36 @@ +#!/usr/bin/python + +############################################################### +# Copyright (c) 2017 ZTE Corporation +# +# All rights reserved. This program and the accompanying materials +# are made available under the terms of the Apache License, Version 2.0 +# which accompanies this distribution, and is available at +# http://www.apache.org/licenses/LICENSE-2.0 +############################################################################## + +from numpy import mean + +from ansible.plugins.action import ActionBase + + +class ActionModule(ActionBase): + def run(self, tmp=None, task_vars=None): + + if task_vars is None: + task_vars = dict() + + result = super(ActionModule, self).run(tmp, task_vars) + + if result.get('skipped', False): + return result + + return aggregate(self._task.args.get('group'), task_vars) + + +# aggregate QPI results +def aggregate(group, task_vars): + qpi_results = [task_vars['hostvars'][host]['qpi_result'] for host in task_vars['groups'][group]] + return { + 'score': int(mean([r['score'] for r in qpi_results])) + } diff --git a/qtip/ansible_library/plugins/action/calculate.py b/qtip/ansible_library/plugins/action/calculate.py index ac7f10f2..fade367f 100644 --- a/qtip/ansible_library/plugins/action/calculate.py +++ b/qtip/ansible_library/plugins/action/calculate.py @@ -45,8 +45,10 @@ def calc_qpi(qpi_spec, metrics): section_results = [{'name': s['name'], 'result': calc_section(s, metrics)} for s in qpi_spec['sections']] + # TODO(yujunz): use formula in spec - qpi_score = mean([r['result']['score'] for r in section_results]) + standard_score = 2048 + qpi_score = int(mean([r['result']['score'] for r in section_results]) * standard_score) return { 'spec': qpi_spec, 'score': qpi_score, |