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##############################################################################
# Copyright (c) 2017 ZTE Corp and others.
#
# 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
##############################################################################
import pytest
from qtip.ansible_library.plugins.action import calculate
@pytest.fixture()
def metrics():
return {
"ssl_rsa": {
"rsa_sign": [500],
"rsa_verify": [600]
}
}
@pytest.fixture()
def metric_spec():
return {
"name": "ssl_rsa",
"workloads": [
{"name": "rsa_sign", "baseline": 500},
{"name": "rsa_verify", "baseline": 600}
]
}
@pytest.fixture()
def section_spec(metric_spec):
return {
"name": "ssl",
"description": "cryptography and SSL/TLS performance",
"metrics": [metric_spec]
}
@pytest.fixture
def qpi_spec(section_spec):
return {
"name": "compute",
"description": "QTIP Performance Index of compute",
"sections": [section_spec]
}
@pytest.fixture()
def metric_result():
return {'score': 1.0,
'name': 'ssl_rsa',
'description': 'metric',
'children': [{'description': 'workload', 'name': 'rsa_sign', 'score': 1.0},
{'description': 'workload', 'name': 'rsa_verify', 'score': 1.0}]}
@pytest.fixture()
def section_result(metric_result):
return {'score': 1.0,
'name': 'ssl',
'description': 'cryptography and SSL/TLS performance',
'children': [metric_result]}
@pytest.fixture()
def qpi_result(qpi_spec, section_result, metrics):
return {'score': 2048,
'name': 'compute',
'description': 'QTIP Performance Index of compute',
'children': [section_result],
'details': {
'spec': qpi_spec,
'metrics': metrics}}
def test_calc_metric(metric_spec, metrics, metric_result):
assert calculate.calc_metric(metric_spec, metrics['ssl_rsa']) == metric_result
def test_calc_section(section_spec, metrics, section_result):
assert calculate.calc_section(section_spec, metrics) == section_result
def test_calc_qpi(qpi_spec, metrics, qpi_result):
assert calculate.calc_qpi(qpi_spec, metrics) == qpi_result
@pytest.mark.parametrize('metrics, baseline, expected', [
(['612376.96k'], '612376.96k', 1)
])
def test_calc_score(metrics, baseline, expected):
assert calculate.calc_score(metrics, baseline) == expected
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