prometheus_reqwest_remote_write/lib.rs
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use std::{collections::HashMap, time::SystemTime};
use prometheus::proto::MetricFamily;
use reqwest::Client;
/// Special label for the name of a metric.
pub const LABEL_NAME: &str = "__name__";
pub const CONTENT_TYPE: &str = "application/x-protobuf";
pub const HEADER_NAME_REMOTE_WRITE_VERSION: &str = "X-Prometheus-Remote-Write-Version";
pub const REMOTE_WRITE_VERSION_01: &str = "0.1.0";
pub const COUNT_SUFFIX: &str = "_count";
pub const SUM_SUFFIX: &str = "_sum";
pub const TOTAL_SUFFIX: &str = "_total";
/// A label.
///
/// .proto:
/// ```protobuf
/// message Label {
/// string name = 1;
/// string value = 2;
/// }
/// ```
#[derive(prost::Message, Clone, Hash, PartialEq, Eq)]
pub struct Label {
#[prost(string, tag = "1")]
pub name: String,
#[prost(string, tag = "2")]
pub value: String,
}
/// A sample.
///
/// .proto:
/// ```protobuf
/// message Sample {
/// double value = 1;
/// int64 timestamp = 2;
/// }
/// ```
#[derive(prost::Message, Clone, PartialEq)]
pub struct Sample {
#[prost(double, tag = "1")]
pub value: f64,
#[prost(int64, tag = "2")]
pub timestamp: i64,
}
pub enum ExtraLabel {
LessThan(f64),
Quantile(f64),
}
/// A time series.
///
/// .proto:
/// ```protobuf
/// message TimeSeries {
/// repeated Label labels = 1;
/// repeated Sample samples = 2;
/// }
/// ```
#[derive(prost::Message, Clone, PartialEq)]
pub struct TimeSeries {
#[prost(message, repeated, tag = "1")]
pub labels: Vec<Label>,
#[prost(message, repeated, tag = "2")]
pub samples: Vec<Sample>,
}
impl TimeSeries {
/// Sort labels by name, and the samples by timestamp.
///
/// Required by the specification.
pub fn sort_labels_and_samples(&mut self) {
self.labels.sort_by(|a, b| a.name.cmp(&b.name));
self.samples.sort_by(|a, b| a.timestamp.cmp(&b.timestamp));
}
}
/// A write request.
///
/// .proto:
/// ```protobuf
/// message WriteRequest {
/// repeated TimeSeries timeseries = 1;
/// // Cortex uses this field to determine the source of the write request.
/// // We reserve it to avoid any compatibility issues.
/// reserved 2;
/// // Prometheus uses this field to send metadata, but this is
/// // omitted from v1 of the spec as it is experimental.
/// reserved 3;
/// }
/// ```
#[derive(prost::Message, Clone, PartialEq)]
pub struct WriteRequest {
#[prost(message, repeated, tag = "1")]
pub timeseries: Vec<TimeSeries>,
}
fn get_timestamp() -> i64 {
SystemTime::now()
.duration_since(SystemTime::UNIX_EPOCH)
.unwrap()
.as_millis() as i64
}
impl WriteRequest {
/// Prepare the write request for sending.
///
/// Ensures that the request conforms to the specification.
/// See https://prometheus.io/docs/concepts/remote_write_spec.
pub fn sort(&mut self) {
for series in &mut self.timeseries {
series.sort_labels_and_samples();
}
}
pub fn sorted(mut self) -> Self {
self.sort();
self
}
/// Encode this write request as a protobuf message.
///
/// NOTE: The API requires snappy compression, not a raw protobuf message.
pub fn encode_proto3(self) -> Vec<u8> {
prost::Message::encode_to_vec(&self.sorted())
}
pub fn encode_compressed(self) -> Result<Vec<u8>, snap::Error> {
snap::raw::Encoder::new().compress_vec(&self.encode_proto3())
}
/// Encode Prometheus metric families into a WriteRequest
pub fn from_metric_families(
metric_families: Vec<MetricFamily>,
custom_labels: Option<Vec<(String, String)>>,
) -> Result<Self, Box<dyn std::error::Error + Send + Sync>> {
let mut timeseries = Vec::new();
let now = get_timestamp();
let custom_labels = custom_labels.unwrap_or_default();
metric_families
.iter()
.for_each(|mf| match mf.get_field_type() {
prometheus::proto::MetricType::GAUGE => {
mf.get_metric().iter().for_each(|m| {
let mut labels = m
.get_label()
.iter()
.map(|l| (l.get_name().to_string(), l.get_value().to_string()))
.collect::<Vec<_>>();
labels.push((LABEL_NAME.to_string(), mf.get_name().to_string()));
labels.extend_from_slice(&custom_labels);
let samples = vec![Sample {
value: m.get_gauge().get_value(),
timestamp: now,
}];
timeseries.push(TimeSeries {
labels: labels
.iter()
.map(|(k, v)| Label {
name: k.to_string(),
value: v.to_string(),
})
.collect::<Vec<_>>(),
samples,
});
});
}
prometheus::proto::MetricType::COUNTER => {
mf.get_metric().iter().for_each(|m| {
let mut labels = m
.get_label()
.iter()
.map(|l| (l.get_name().to_string(), l.get_value().to_string()))
.collect::<Vec<_>>();
labels.push((LABEL_NAME.to_string(), mf.get_name().to_string()));
let samples = vec![Sample {
value: m.get_counter().get_value(),
timestamp: now,
}];
timeseries.push(TimeSeries {
labels: labels
.iter()
.map(|(k, v)| Label {
name: k.to_string(),
value: v.to_string(),
})
.collect::<Vec<_>>(),
samples,
});
});
}
prometheus::proto::MetricType::SUMMARY => {
mf.get_metric().iter().for_each(|m| {
let mut labels = m
.get_label()
.iter()
.map(|l| (l.get_name().to_string(), l.get_value().to_string()))
.collect::<HashMap<String, String>>();
labels.insert(LABEL_NAME.to_string(), mf.get_name().to_string());
m.get_summary().get_quantile().iter().for_each(|quantile| {
let mut our_labels = labels.clone();
our_labels.insert(
"quantile".to_string(),
quantile.get_quantile().to_string(),
);
let samples = vec![Sample {
value: quantile.get_value(),
timestamp: now,
}];
timeseries.push(TimeSeries {
labels: our_labels
.iter()
.map(|(k, v)| Label {
name: k.to_string(),
value: v.to_string(),
})
.collect::<Vec<_>>(),
samples,
});
});
let mut top_level_labels = labels.clone();
top_level_labels.insert(
LABEL_NAME.to_string(),
format!("{}{}", mf.get_name(), SUM_SUFFIX),
);
timeseries.push(TimeSeries {
samples: vec![Sample {
value: m.get_summary().get_sample_sum(),
timestamp: now,
}],
labels: top_level_labels
.iter()
.map(|(k, v)| Label {
name: k.to_string(),
value: v.to_string(),
})
.collect(),
});
top_level_labels.insert(
LABEL_NAME.to_string(),
format!("{}{}", mf.get_name(), COUNT_SUFFIX),
);
timeseries.push(TimeSeries {
samples: vec![Sample {
value: m.get_summary().get_sample_count() as f64,
timestamp: now,
}],
labels: top_level_labels
.iter()
.map(|(k, v)| Label {
name: k.to_string(),
value: v.to_string(),
})
.collect(),
});
});
}
prometheus::proto::MetricType::UNTYPED => {
mf.get_metric().iter().for_each(|m| {
let mut labels = m
.get_label()
.iter()
.map(|l| (l.get_name().to_string(), l.get_value().to_string()))
.collect::<Vec<_>>();
labels.push((LABEL_NAME.to_string(), mf.get_name().to_string()));
let samples = vec![Sample {
value: m.get_untyped().get_value(),
timestamp: get_timestamp(),
}];
timeseries.push(TimeSeries {
labels: labels
.iter()
.map(|(k, v)| Label {
name: k.to_string(),
value: v.to_string(),
})
.collect::<Vec<_>>(),
samples,
});
});
}
prometheus::proto::MetricType::HISTOGRAM => {
mf.get_metric().iter().for_each(|m| {
let mut labels = m
.get_label()
.iter()
.map(|l| (l.get_name().to_string(), l.get_value().to_string()))
.collect::<HashMap<String, String>>();
labels.insert(LABEL_NAME.to_string(), mf.get_name().to_string());
m.get_histogram().get_bucket().iter().for_each(|bucket| {
let mut our_labels = labels.clone();
our_labels
.insert("le".to_string(), bucket.get_upper_bound().to_string());
let samples = vec![Sample {
value: bucket.get_cumulative_count() as f64,
timestamp: now,
}];
timeseries.push(TimeSeries {
labels: our_labels
.iter()
.map(|(k, v)| Label {
name: k.to_string(),
value: v.to_string(),
})
.collect::<Vec<_>>(),
samples,
});
});
let mut top_level_labels = labels.clone();
top_level_labels.insert(
LABEL_NAME.to_string(),
format!("{}{}", mf.get_name(), SUM_SUFFIX),
);
timeseries.push(TimeSeries {
samples: vec![Sample {
value: m.get_histogram().get_sample_sum(),
timestamp: now,
}],
labels: top_level_labels
.iter()
.map(|(k, v)| Label {
name: k.to_string(),
value: v.to_string(),
})
.collect(),
});
top_level_labels.insert(
LABEL_NAME.to_string(),
format!("{}{}", mf.get_name(), COUNT_SUFFIX),
);
timeseries.push(TimeSeries {
samples: vec![Sample {
value: m.get_histogram().get_sample_count() as f64,
timestamp: now,
}],
labels: top_level_labels
.iter()
.map(|(k, v)| Label {
name: k.to_string(),
value: v.to_string(),
})
.collect(),
});
top_level_labels
.insert(LABEL_NAME.to_string(), mf.get_name().to_string());
top_level_labels.insert("le".into(), "+Inf".into());
timeseries.push(TimeSeries {
samples: vec![Sample {
value: m.get_histogram().get_sample_count() as f64,
timestamp: now,
}],
labels: top_level_labels
.iter()
.map(|(k, v)| Label {
name: k.to_string(),
value: v.to_string(),
})
.collect(),
});
});
}
});
timeseries.sort_by(|a, b| {
let name_a = a.labels.iter().find(|l| l.name == LABEL_NAME).unwrap();
let name_b = b.labels.iter().find(|l| l.name == LABEL_NAME).unwrap();
name_a.value.cmp(&name_b.value)
});
let s = Self { timeseries };
Ok(s.sorted())
}
pub fn build_http_request(
self,
client: Client,
endpoint: &str,
user_agent: &str,
) -> Result<reqwest::Request, reqwest::Error> {
client
.post(endpoint)
.header(reqwest::header::CONTENT_TYPE, CONTENT_TYPE)
.header(HEADER_NAME_REMOTE_WRITE_VERSION, REMOTE_WRITE_VERSION_01)
.header(reqwest::header::CONTENT_ENCODING, "snappy")
.header(reqwest::header::USER_AGENT, user_agent)
.body(
self.encode_compressed()
.expect("Failed to compress metrics data"),
)
.build()
}
}
#[cfg(test)]
mod tests {
use super::*;
use pretty_assertions::assert_eq;
use prometheus::{histogram_opts, Counter, Gauge, Histogram, Registry};
#[test]
pub fn can_encode_counter() {
let registry = Registry::new();
let counter_name = "my_counter";
let help = "an extra description";
let counter = Counter::new(counter_name, help).unwrap();
registry.register(Box::new(counter.clone())).unwrap();
let incremented_by = 5.0;
counter.inc_by(incremented_by);
let req = WriteRequest::from_metric_families(registry.gather(), None)
.expect("Failed to encode counter");
assert_eq!(req.timeseries.len(), 1);
let entry = req.timeseries.first().unwrap();
assert_eq!(entry.labels.len(), 1);
assert_eq!(
entry
.labels
.iter()
.find(|l| l.name == LABEL_NAME)
.unwrap()
.value,
counter_name
);
assert_eq!(entry.samples.first().unwrap().value, incremented_by);
}
#[test]
pub fn can_encode_gauge() {
let registry = Registry::new();
let gauge_name = "my_gauge";
let help = "an extra description";
let counter = Gauge::new(gauge_name, help).unwrap();
registry.register(Box::new(counter.clone())).unwrap();
let incremented_by = 5.0;
counter.set(incremented_by);
let req = WriteRequest::from_metric_families(registry.gather(), None)
.expect("Failed to encode gauge");
assert_eq!(req.timeseries.len(), 1);
let entry = req.timeseries.first().unwrap();
assert_eq!(entry.labels.len(), 1);
assert_eq!(
entry
.labels
.iter()
.find(|l| l.name == LABEL_NAME)
.unwrap()
.value,
gauge_name
);
assert_eq!(entry.samples.first().unwrap().value, incremented_by);
}
#[test]
pub fn can_encode_histogram() {
let registry = Registry::new();
let histogram_name = "my_histogram";
let help = "an extra description".to_string();
let opts = histogram_opts!(histogram_name, help, vec![10.0, 1000.0, 10000.0]);
let histogram = Histogram::with_opts(opts).unwrap();
registry.register(Box::new(histogram.clone())).unwrap();
histogram.observe(5.0);
histogram.observe(500.0);
histogram.observe(5000.0);
histogram.observe(50000.0);
let req = WriteRequest::from_metric_families(registry.gather(), None)
.expect("Failed to encode histogram");
assert_eq!(req.timeseries.len(), 6);
let bucket_names: Vec<String> = req
.timeseries
.clone()
.into_iter()
.filter_map(|ts| {
ts.labels
.iter()
.find(|l| l.name == "le")
.map(|l| l.value.clone())
})
.collect();
assert_eq!(bucket_names, vec!["10", "1000", "10000", "+Inf"]);
let count_observations = req
.timeseries
.clone()
.iter()
.find(|l| {
l.labels.iter().any(|label| {
label.name == LABEL_NAME
&& label.value == format!("{}{}", histogram_name, COUNT_SUFFIX)
})
})
.map(|ts| ts.samples.first().unwrap().value)
.unwrap();
assert_eq!(count_observations, 4.0);
let sum_observation = req
.timeseries
.iter()
.find(|l| {
l.labels.iter().any(|label| {
label.name == LABEL_NAME
&& label.value == format!("{}{}", histogram_name, SUM_SUFFIX)
})
})
.map(|ts| ts.samples.first().unwrap().value)
.unwrap();
assert_eq!(sum_observation, 55505.0)
}
}