blob: b4492a4d249fc97dca8aa3d323d35279baf6d7df [file] [log] [blame]
/*
* Copyright (C) 2017-2019 Apple Inc. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY APPLE INC. AND ITS CONTRIBUTORS ``AS IS''
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
* THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL APPLE INC. OR ITS CONTRIBUTORS
* BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
* THE POSSIBILITY OF SUCH DAMAGE.
*/
#include "config.h"
#include "ResourceLoadStatisticsClassifier.h"
#include "Logging.h"
#include <WebCore/ResourceLoadStatistics.h>
namespace WebKit {
using namespace WebCore;
static double vectorLength(unsigned a, unsigned b, unsigned c)
{
return sqrt(a * a + b * b + c * c);
}
static const auto featureVectorLengthThresholdHigh = 3;
static const auto featureVectorLengthThresholdVeryHigh = 30;
ResourceLoadPrevalence ResourceLoadStatisticsClassifier::calculateResourcePrevalence(const ResourceLoadStatistics& resourceStatistic, ResourceLoadPrevalence currentPrevalence)
{
ASSERT(currentPrevalence != VeryHigh);
auto subresourceUnderTopFrameDomainsCount = resourceStatistic.subresourceUnderTopFrameDomains.size();
auto subresourceUniqueRedirectsToCount = resourceStatistic.subresourceUniqueRedirectsTo.size();
auto subframeUnderTopFrameDomainsCount = resourceStatistic.subframeUnderTopFrameDomains.size();
auto topFrameUniqueRedirectsToCount = resourceStatistic.topFrameUniqueRedirectsTo.size();
return calculateResourcePrevalence(subresourceUnderTopFrameDomainsCount, subresourceUniqueRedirectsToCount, subframeUnderTopFrameDomainsCount, topFrameUniqueRedirectsToCount, currentPrevalence);
}
ResourceLoadPrevalence ResourceLoadStatisticsClassifier::calculateResourcePrevalence(unsigned subresourceUnderTopFrameDomainsCount, unsigned subresourceUniqueRedirectsToCount, unsigned subframeUnderTopFrameDomainsCount, unsigned topFrameUniqueRedirectsToCount, ResourceLoadPrevalence currentPrevalence)
{
if (!subresourceUnderTopFrameDomainsCount
&& !subresourceUniqueRedirectsToCount
&& !subframeUnderTopFrameDomainsCount
&& !topFrameUniqueRedirectsToCount) {
return Low;
}
if (vectorLength(subresourceUnderTopFrameDomainsCount, subresourceUniqueRedirectsToCount, subframeUnderTopFrameDomainsCount) > featureVectorLengthThresholdVeryHigh)
return VeryHigh;
if (currentPrevalence == High
|| subresourceUnderTopFrameDomainsCount > featureVectorLengthThresholdHigh
|| subresourceUniqueRedirectsToCount > featureVectorLengthThresholdHigh
|| subframeUnderTopFrameDomainsCount > featureVectorLengthThresholdHigh
|| topFrameUniqueRedirectsToCount > featureVectorLengthThresholdHigh
|| classify(subresourceUnderTopFrameDomainsCount, subresourceUniqueRedirectsToCount, subframeUnderTopFrameDomainsCount))
return High;
return Low;
}
bool ResourceLoadStatisticsClassifier::classifyWithVectorThreshold(unsigned a, unsigned b, unsigned c)
{
LOG(ResourceLoadStatistics, "ResourceLoadStatisticsClassifier::classifyWithVectorThreshold(): Classified with threshold.");
return vectorLength(a, b, c) > featureVectorLengthThresholdHigh;
}
}