blob: eaa6d1dd8a484e21849ec354bdc0ab4814b3b186 [file] [log] [blame]
// Copyright 2014 The Chromium OS Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include "metrics/serialization/metric_sample.h"
#include <string>
#include <vector>
#include "base/logging.h"
#include "base/strings/string_number_conversions.h"
#include "base/strings/string_split.h"
#include "base/strings/stringprintf.h"
namespace metrics {
MetricSample::MetricSample(MetricSample::SampleType sample_type,
const std::string& metric_name,
int sample,
int min,
int max,
int bucket_count,
int num_samples)
: type_(sample_type),
name_(metric_name),
sample_(sample),
min_(min),
max_(max),
bucket_count_(bucket_count),
num_samples_(num_samples) {}
bool MetricSample::IsValid() const {
if (type() == INVALID || name().find(' ') != std::string::npos ||
name().find('\0') != std::string::npos || name().empty()) {
LOG(ERROR) << "Invalid sample type or name for histogram \"" << name()
<< "\"";
return false;
}
if (type() == LINEAR_HISTOGRAM && max() == 1) {
// No buckets: this is quietly ignored by Chrome, so better catch it here.
LOG(ERROR) << "No buckets for linear histogram \"" << name() << "\"";
return false;
}
if (type() == HISTOGRAM) {
// Avoid integer overflow by forcing 64-bit ops.
int64_t max64 = max();
if (bucket_count() > max64 - min() + 2) {
// Too many buckets: this is also quietly ignored by Chrome.
// Note: a value x such that min <= x < max goes into a regular bucket.
// Values outside that range go in the overflow and underflow buckets.
LOG(ERROR) << "Too many buckets (" << bucket_count()
<< ") for histogram \"" << name()
<< "\", max for this range is " << max64 - min() + 2;
return false;
}
}
return true;
}
std::string MetricSample::ToString() const {
if (type_ == CRASH) {
return base::StringPrintf("crash%c%s%c", '\0', name().c_str(), '\0');
} else if (type_ == SPARSE_HISTOGRAM) {
return base::StringPrintf("sparsehistogram%c%s %d%c", '\0', name().c_str(),
sample_, '\0');
} else if (type_ == LINEAR_HISTOGRAM) {
return base::StringPrintf("linearhistogram%c%s %d %d%c", '\0',
name().c_str(), sample_, max_, '\0');
} else if (type_ == HISTOGRAM) {
if (num_samples_ > 1) {
return base::StringPrintf("histogram%c%s %d %d %d %d %d%c", '\0',
name().c_str(), sample_, min_, max_,
bucket_count_, num_samples_, '\0');
} else {
return base::StringPrintf("histogram%c%s %d %d %d %d%c", '\0',
name().c_str(), sample_, min_, max_,
bucket_count_, '\0');
}
} else if (type_ == USER_ACTION) {
CHECK_EQ(type_, USER_ACTION);
return base::StringPrintf("useraction%c%s%c", '\0', name().c_str(), '\0');
}
NOTREACHED() << "Invalid sample type" << type_;
return std::string();
}
int MetricSample::sample() const {
CHECK_NE(type_, USER_ACTION);
CHECK_NE(type_, CRASH);
return sample_;
}
int MetricSample::min() const {
CHECK_EQ(type_, HISTOGRAM);
return min_;
}
int MetricSample::max() const {
CHECK_NE(type_, CRASH);
CHECK_NE(type_, USER_ACTION);
CHECK_NE(type_, SPARSE_HISTOGRAM);
return max_;
}
int MetricSample::bucket_count() const {
CHECK_EQ(type_, HISTOGRAM);
return bucket_count_;
}
int MetricSample::num_samples() const {
CHECK_EQ(type_, HISTOGRAM);
return num_samples_;
}
// static
MetricSample MetricSample::CrashSample(const std::string& crash_name) {
return MetricSample(CRASH, crash_name, 0, 0, 0, 0);
}
// static
MetricSample MetricSample::HistogramSample(const std::string& histogram_name,
int sample,
int min,
int max,
int bucket_count,
int num_samples) {
return MetricSample(HISTOGRAM, histogram_name, sample, min, max, bucket_count,
num_samples);
}
// static
MetricSample MetricSample::ParseHistogram(
const std::string& serialized_histogram) {
std::vector<std::string> parts = base::SplitString(
serialized_histogram, " ", base::KEEP_WHITESPACE, base::SPLIT_WANT_ALL);
if (parts.size() != 5 && parts.size() != 6)
return MetricSample();
int sample, min, max, bucket_count;
if (parts[0].empty() || !base::StringToInt(parts[1], &sample) ||
!base::StringToInt(parts[2], &min) ||
!base::StringToInt(parts[3], &max) ||
!base::StringToInt(parts[4], &bucket_count)) {
return MetricSample();
}
int num_samples = 1;
if (parts.size() == 6) {
if (!base::StringToInt(parts[5], &num_samples)) {
return MetricSample();
}
}
return HistogramSample(parts[0], sample, min, max, bucket_count, num_samples);
}
// static
MetricSample MetricSample::SparseHistogramSample(
const std::string& histogram_name, int sample) {
return MetricSample(SPARSE_HISTOGRAM, histogram_name, sample, 0, 0, 0);
}
// static
MetricSample MetricSample::ParseSparseHistogram(
const std::string& serialized_histogram) {
std::vector<std::string> parts = base::SplitString(
serialized_histogram, " ", base::KEEP_WHITESPACE, base::SPLIT_WANT_ALL);
if (parts.size() != 2)
return MetricSample();
int sample;
if (parts[0].empty() || !base::StringToInt(parts[1], &sample))
return MetricSample();
return SparseHistogramSample(parts[0], sample);
}
// static
MetricSample MetricSample::LinearHistogramSample(
const std::string& histogram_name, int sample, int max) {
return MetricSample(LINEAR_HISTOGRAM, histogram_name, sample, 0, max, 0);
}
// static
MetricSample MetricSample::ParseLinearHistogram(
const std::string& serialized_histogram) {
int sample, max;
std::vector<std::string> parts = base::SplitString(
serialized_histogram, " ", base::KEEP_WHITESPACE, base::SPLIT_WANT_ALL);
if (parts.size() != 3)
return MetricSample();
if (parts[0].empty() || !base::StringToInt(parts[1], &sample) ||
!base::StringToInt(parts[2], &max)) {
return MetricSample();
}
return LinearHistogramSample(parts[0], sample, max);
}
// static
MetricSample MetricSample::UserActionSample(const std::string& action_name) {
return MetricSample(USER_ACTION, action_name, 0, 0, 0, 0);
}
bool MetricSample::IsEqual(const MetricSample& metric) const {
return type_ == metric.type_ && name_ == metric.name_ &&
sample_ == metric.sample_ && min_ == metric.min_ &&
max_ == metric.max_ && bucket_count_ == metric.bucket_count_ &&
num_samples_ == metric.num_samples_;
}
} // namespace metrics