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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"},
            {"name": "rsa_verify"}
        ]
    }


@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 rsa_sign_baseline():
    return {'name': 'rsa_sign', 'baseline': '500'}


@pytest.fixture()
def rsa_verify_baseline():
    return {"name": "rsa_verify", "baseline": 600}


@pytest.fixture()
def metric_baseline(rsa_sign_baseline, rsa_verify_baseline):
    return {
        "name": "ssl_rsa",
        "workloads": [rsa_sign_baseline, rsa_verify_baseline]
    }


@pytest.fixture()
def section_baseline(metric_baseline):
    return {
        "name": "ssl",
        "metrics": [metric_baseline]
    }


@pytest.fixture()
def qpi_baseline(section_baseline):
    return {
        "name": "compute-baseline",
        "description": "The baseline for compute QPI",
        "score": 2048,
        "sections": [section_baseline]
    }


@pytest.fixture()
def metric_result():
    return {'score': 1.0,
            'name': 'ssl_rsa',
            'description': 'metric',
            'workloads': [{'description': 'workload', 'name': 'rsa_sign',
                           'score': 1.0, 'result': 500},
                          {'description': 'workload', 'name': 'rsa_verify',
                           'score': 1.0, 'result': 600}]}


@pytest.fixture()
def section_result(metric_result):
    return {'score': 1.0,
            'name': 'ssl',
            'description': 'cryptography and SSL/TLS performance',
            'metrics': [metric_result]}


@pytest.fixture()
def info():
    return {
        "system_info": {
            "kernel": "4.4.0-72-generic x86_64 (64 bit)",
            "product": "EC600G3",
            "os": "Ubuntu 16.04 xenial",
            "cpu": "2 Deca core Intel Xeon E5-2650 v3s (-HT-MCP-SMP-)",
            "disk": "1200.3GB (25.1% used)",
            "memory": "30769.7/128524.1MB"
        }
    }


@pytest.fixture()
def qpi_result(section_result, info):
    return {'score': 2048,
            'name': 'compute',
            'description': 'QTIP Performance Index of compute',
            'system_info': info,
            'sections': [section_result],
            'spec': "https://git.opnfv.org/qtip/tree/resources/QPI/compute.yaml",
            'baseline': "https://git.opnfv.org/qtip/tree/resources/QPI/compute-baseline.json",
            }


def test_calc_metric(metric_spec, metrics, metric_baseline, metric_result):
    assert calculate.calc_metric(metric_spec,
                                 metrics['ssl_rsa'],
                                 metric_baseline) == metric_result


def test_calc_section(section_spec, metrics, section_baseline, section_result):
    assert calculate.calc_section(section_spec,
                                  metrics,
                                  section_baseline) == section_result


def test_calc_qpi(qpi_spec, metrics, qpi_baseline, qpi_result, section_spec, info):
    section_spec['score'] = 1.0
    assert calculate.calc_qpi(qpi_spec,
                              metrics,
                              info, qpi_baseline) == 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