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// This Source Code Form is subject to the terms of the Mozilla Public
// License, v. 2.0. If a copy of the MPL was not distributed with this
// file, You can obtain one at https://mozilla.org/MPL/2.0/.
use std::sync::Arc;
use crate::error_recording::{record_error, test_get_num_recorded_errors, ErrorType};
use crate::histogram::{Bucketing, Histogram, HistogramType};
use crate::metrics::{DistributionData, Metric, MetricType};
use crate::storage::StorageManager;
use crate::CommonMetricData;
use crate::Glean;
/// A custom distribution metric.
///
/// Memory distributions are used to accumulate and store memory sizes.
#[derive(Clone, Debug)]
pub struct CustomDistributionMetric {
meta: Arc<CommonMetricData>,
range_min: u64,
range_max: u64,
bucket_count: u64,
histogram_type: HistogramType,
}
/// Create a snapshot of the histogram.
///
/// The snapshot can be serialized into the payload format.
pub(crate) fn snapshot<B: Bucketing>(hist: &Histogram<B>) -> DistributionData {
DistributionData {
values: hist
.snapshot_values()
.into_iter()
.map(|(k, v)| (k as i64, v as i64))
.collect(),
sum: hist.sum() as i64,
}
}
impl MetricType for CustomDistributionMetric {
fn meta(&self) -> &CommonMetricData {
&self.meta
}
}
// IMPORTANT:
//
// When changing this implementation, make sure all the operations are
// also declared in the related trait in `../traits/`.
impl CustomDistributionMetric {
/// Creates a new memory distribution metric.
pub fn new(
meta: CommonMetricData,
range_min: i64,
range_max: i64,
bucket_count: i64,
histogram_type: HistogramType,
) -> Self {
Self {
meta: Arc::new(meta),
range_min: range_min as u64,
range_max: range_max as u64,
bucket_count: bucket_count as u64,
histogram_type,
}
}
/// Accumulates the provided signed samples in the metric.
///
/// This is required so that the platform-specific code can provide us with
/// 64 bit signed integers if no `u64` comparable type is available. This
/// will take care of filtering and reporting errors for any provided negative
/// sample.
///
/// # Arguments
///
/// - `samples` - The vector holding the samples to be recorded by the metric.
///
/// ## Notes
///
/// Discards any negative value in `samples` and report an [`ErrorType::InvalidValue`]
/// for each of them.
pub fn accumulate_samples(&self, samples: Vec<i64>) {
let metric = self.clone();
crate::launch_with_glean(move |glean| metric.accumulate_samples_sync(glean, samples))
}
/// Accumulates the provided sample in the metric synchronously.
///
/// See [`accumulate_samples`](Self::accumulate_samples) for details.
#[doc(hidden)]
pub fn accumulate_samples_sync(&self, glean: &Glean, samples: Vec<i64>) {
if !self.should_record(glean) {
return;
}
let mut num_negative_samples = 0;
// Generic accumulation function to handle the different histogram types and count negative
// samples.
fn accumulate<B: Bucketing, F>(
samples: &[i64],
mut hist: Histogram<B>,
metric: F,
) -> (i32, Metric)
where
F: Fn(Histogram<B>) -> Metric,
{
let mut num_negative_samples = 0;
for &sample in samples.iter() {
if sample < 0 {
num_negative_samples += 1;
} else {
let sample = sample as u64;
hist.accumulate(sample);
}
}
(num_negative_samples, metric(hist))
}
glean.storage().record_with(glean, &self.meta, |old_value| {
let (num_negative, hist) = match self.histogram_type {
HistogramType::Linear => {
let hist = if let Some(Metric::CustomDistributionLinear(hist)) = old_value {
hist
} else {
Histogram::linear(
self.range_min,
self.range_max,
self.bucket_count as usize,
)
};
accumulate(&samples, hist, Metric::CustomDistributionLinear)
}
HistogramType::Exponential => {
let hist = if let Some(Metric::CustomDistributionExponential(hist)) = old_value
{
hist
} else {
Histogram::exponential(
self.range_min,
self.range_max,
self.bucket_count as usize,
)
};
accumulate(&samples, hist, Metric::CustomDistributionExponential)
}
};
num_negative_samples = num_negative;
hist
});
if num_negative_samples > 0 {
let msg = format!("Accumulated {} negative samples", num_negative_samples);
record_error(
glean,
&self.meta,
ErrorType::InvalidValue,
msg,
num_negative_samples,
);
}
}
/// Gets the currently stored histogram.
#[doc(hidden)]
pub fn get_value<'a, S: Into<Option<&'a str>>>(
&self,
glean: &Glean,
ping_name: S,
) -> Option<DistributionData> {
let queried_ping_name = ping_name
.into()
.unwrap_or_else(|| &self.meta().send_in_pings[0]);
match StorageManager.snapshot_metric_for_test(
glean.storage(),
queried_ping_name,
&self.meta.identifier(glean),
self.meta.lifetime,
) {
// Boxing the value, in order to return either of the possible buckets
Some(Metric::CustomDistributionExponential(hist)) => Some(snapshot(&hist)),
Some(Metric::CustomDistributionLinear(hist)) => Some(snapshot(&hist)),
_ => None,
}
}
/// **Test-only API (exported for FFI purposes).**
///
/// Gets the currently stored value as an integer.
///
/// This doesn't clear the stored value.
pub fn test_get_value(&self, ping_name: Option<String>) -> Option<DistributionData> {
crate::block_on_dispatcher();
crate::core::with_glean(|glean| self.get_value(glean, ping_name.as_deref()))
}
/// **Exported for test purposes.**
///
/// Gets the number of recorded errors for the given metric and error type.
///
/// # Arguments
///
/// * `error` - The type of error
/// * `ping_name` - represents the optional name of the ping to retrieve the
/// metric for. Defaults to the first value in `send_in_pings`.
///
/// # Returns
///
/// The number of errors reported.
pub fn test_get_num_recorded_errors(&self, error: ErrorType, ping_name: Option<String>) -> i32 {
crate::block_on_dispatcher();
crate::core::with_glean(|glean| {
test_get_num_recorded_errors(glean, self.meta(), error, ping_name.as_deref())
.unwrap_or(0)
})
}
}