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Commit 6f9a9092 authored by Vova Sharaienko's avatar Vova Sharaienko Committed by Gerrit Code Review
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Merge "[TeX] Introduced Telemetry Express Histogram metric Native API"

parents 4dd1ac92 75f86003
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+44 −2
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@@ -18,11 +18,17 @@ package {
    default_applicable_licenses: ["Android-Apache-2.0"],
}

cc_library {
    name: "libexpresslog",
cc_defaults {
    name: "expresslog_defaults",
    srcs: [
        "Counter.cpp",
        "Histogram.cpp",
    ],
}

cc_library {
    name: "libexpresslog",
    defaults: ["expresslog_defaults"],
    cflags: [
        "-DNAMESPACE_FOR_HASH_FUNCTIONS=farmhash",
        "-Wall",
@@ -37,6 +43,7 @@ cc_library {
    ],
    shared_libs: [
        "libbase",
        "liblog",
        "libstatssocket",
    ],
    export_include_dirs: ["include"],
@@ -69,3 +76,38 @@ cc_library_static {
        "libstatssocket",
    ],
}

cc_test {
    name: "expresslog_test",
    defaults: ["expresslog_defaults"],
    test_suites: [
        "general-tests",
    ],
    srcs: [
        "tests/Histogram_test.cpp",
    ],
    local_include_dirs: [
        "include",
    ],
    cflags: [
        "-DNAMESPACE_FOR_HASH_FUNCTIONS=farmhash",
        "-Wall",
        "-Wextra",
        "-Wunused",
        "-Wpedantic",
        "-Werror",
    ],
    header_libs: [
        "libtextclassifier_hash_headers",
    ],
    static_libs: [
        "libgmock",
        "libbase",
        "liblog",
        "libstatslog_express",
        "libtextclassifier_hash_static",
    ],
    shared_libs: [
        "libstatssocket",
    ]
}
+74 −0
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//
// Copyright (C) 2023 The Android Open Source Project
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//      http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//

#include "include/Histogram.h"

#define LOG_TAG "tex"

#include <log/log.h>
#include <statslog_express.h>
#include <string.h>
#include <utils/hash/farmhash.h>

namespace android {
namespace expresslog {

Histogram::UniformOptions* Histogram::UniformOptions::create(int binCount, float minValue,
                                                             float exclusiveMaxValue) {
    if (binCount < 1) {
        ALOGE("Bin count should be positive number");
        return nullptr;
    }

    if (exclusiveMaxValue <= minValue) {
        ALOGE("Bins range invalid (maxValue < minValue)");
        return nullptr;
    }

    return new UniformOptions(binCount, minValue, exclusiveMaxValue);
}

Histogram::UniformOptions::UniformOptions(int binCount, float minValue, float exclusiveMaxValue)
    :  // Implicitly add 2 for the extra undeflow & overflow bins
      mBinCount(binCount + 2),
      mMinValue(minValue),
      mExclusiveMaxValue(exclusiveMaxValue),
      mBinSize((exclusiveMaxValue - minValue) / binCount) {
}

int Histogram::UniformOptions::getBinForSample(float sample) const {
    if (sample < mMinValue) {
        // goes to underflow
        return 0;
    } else if (sample >= mExclusiveMaxValue) {
        // goes to overflow
        return mBinCount - 1;
    }
    return (int)((sample - mMinValue) / mBinSize + 1);
}

Histogram::Histogram(const char* metricName, std::shared_ptr<BinOptions> binOptions)
    : mMetricIdHash(farmhash::Fingerprint64(metricName, strlen(metricName))),
      mBinOptions(std::move(binOptions)) {
}

void Histogram::logSample(float sample) const {
    const int binIndex = mBinOptions->getBinForSample(sample);
    stats_write(EXPRESS_HISTOGRAM_SAMPLE_REPORTED, mMetricIdHash, /*count*/ 1, binIndex);
}

}  // namespace expresslog
}  // namespace android
+80 −0
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//
// Copyright (C) 2023 The Android Open Source Project
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//      http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//

#pragma once
#include <stdint.h>

#include <memory>

namespace android {
namespace expresslog {

/** Histogram encapsulates StatsD write API calls */
class Histogram final {
public:
    class BinOptions {
    public:
        virtual ~BinOptions() = default;
        /**
         * Returns bins count to be used by a Histogram
         *
         * @return bins count used to initialize Options, including overflow & underflow bins
         */
        virtual int getBinsCount() const = 0;

        /**
         * @return zero based index
         * Calculates bin index for the input sample value
         * index == 0 stands for underflow
         * index == getBinsCount() - 1 stands for overflow
         */
        virtual int getBinForSample(float sample) const = 0;
    };

    /** Used by Histogram to map data sample to corresponding bin for uniform bins */
    class UniformOptions : public BinOptions {
        UniformOptions(int binCount, float minValue, float exclusiveMaxValue);

    public:
        static UniformOptions* create(int binCount, float minValue, float exclusiveMaxValue);

        int getBinsCount() const override {
            return mBinCount;
        }

        int getBinForSample(float sample) const override;

    private:
        const int mBinCount;
        const float mMinValue;
        const float mExclusiveMaxValue;
        const float mBinSize;
    };

    Histogram(const char* metricName, std::shared_ptr<BinOptions> binOptions);

    /**
     * Logs increment sample count for automatically calculated bin
     */
    void logSample(float sample) const;

private:
    const int64_t mMetricIdHash;
    const std::shared_ptr<BinOptions> mBinOptions;
};

}  // namespace expresslog
}  // namespace android
+128 −0
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//
// Copyright (C) 2023 The Android Open Source Project
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//      http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//

#include "Histogram.h"

#include <gtest/gtest.h>

namespace android {
namespace expresslog {

#ifdef __ANDROID__
TEST(UniformOptions, getBinsCount) {
    const std::shared_ptr<Histogram::UniformOptions> options1(
            Histogram::UniformOptions::create(1, 100, 1000));
    ASSERT_EQ(3, options1->getBinsCount());

    const std::shared_ptr<Histogram::UniformOptions> options10(
            Histogram::UniformOptions::create(10, 100, 1000));
    ASSERT_EQ(12, options10->getBinsCount());
}

TEST(UniformOptions, constructZeroBinsCount) {
    const std::shared_ptr<Histogram::UniformOptions> options(
            Histogram::UniformOptions::create(0, 100, 1000));
    ASSERT_EQ(nullptr, options);
}

TEST(UniformOptions, constructNegativeBinsCount) {
    const std::shared_ptr<Histogram::UniformOptions> options(
            Histogram::UniformOptions::create(-1, 100, 1000));
    ASSERT_EQ(nullptr, options);
}

TEST(UniformOptions, constructMaxValueLessThanMinValue) {
    const std::shared_ptr<Histogram::UniformOptions> options(
            Histogram::UniformOptions::create(10, 1000, 100));
    ASSERT_EQ(nullptr, options);
}

TEST(UniformOptions, testBinIndexForRangeEqual1) {
    const std::shared_ptr<Histogram::UniformOptions> options(
            Histogram::UniformOptions::create(10, 1, 11));
    for (int i = 0, bins = options->getBinsCount(); i < bins; i++) {
        ASSERT_EQ(i, options->getBinForSample(i));
    }
}

TEST(UniformOptions, testBinIndexForRangeEqual2) {
    const std::shared_ptr<Histogram::UniformOptions> options(
            Histogram::UniformOptions::create(10, 1, 21));
    for (int i = 0, bins = options->getBinsCount(); i < bins; i++) {
        ASSERT_EQ(i, options->getBinForSample(i * 2));
        ASSERT_EQ(i, options->getBinForSample(i * 2 - 1));
    }
}

TEST(UniformOptions, testBinIndexForRangeEqual5) {
    const std::shared_ptr<Histogram::UniformOptions> options(
            Histogram::UniformOptions::create(2, 0, 10));
    ASSERT_EQ(4, options->getBinsCount());
    for (int i = 0; i < 2; i++) {
        for (int sample = 0; sample < 5; sample++) {
            ASSERT_EQ(i + 1, options->getBinForSample(i * 5 + sample));
        }
    }
}

TEST(UniformOptions, testBinIndexForRangeEqual10) {
    const std::shared_ptr<Histogram::UniformOptions> options(
            Histogram::UniformOptions::create(10, 1, 101));
    ASSERT_EQ(0, options->getBinForSample(0));
    ASSERT_EQ(options->getBinsCount() - 2, options->getBinForSample(100));
    ASSERT_EQ(options->getBinsCount() - 1, options->getBinForSample(101));

    const float binSize = (101 - 1) / 10.f;
    for (int i = 1, bins = options->getBinsCount() - 1; i < bins; i++) {
        ASSERT_EQ(i, options->getBinForSample(i * binSize));
    }
}

TEST(UniformOptions, testBinIndexForRangeEqual90) {
    const int binCount = 10;
    const int minValue = 100;
    const int maxValue = 100000;

    const std::shared_ptr<Histogram::UniformOptions> options(
            Histogram::UniformOptions::create(binCount, minValue, maxValue));

    // logging underflow sample
    ASSERT_EQ(0, options->getBinForSample(minValue - 1));

    // logging overflow sample
    ASSERT_EQ(binCount + 1, options->getBinForSample(maxValue));
    ASSERT_EQ(binCount + 1, options->getBinForSample(maxValue + 1));

    // logging min edge sample
    ASSERT_EQ(1, options->getBinForSample(minValue));

    // logging max edge sample
    ASSERT_EQ(binCount, options->getBinForSample(maxValue - 1));

    // logging single valid sample per bin
    const int binSize = (maxValue - minValue) / binCount;

    for (int i = 0; i < binCount; i++) {
        ASSERT_EQ(i + 1, options->getBinForSample(minValue + binSize * i));
    }
}

#else
GTEST_LOG_(INFO) << "This test does nothing.\n";
#endif

}  // namespace expresslog
}  // namespace android