autometric
v2.0.0
Published
A library to create automated metrics over various async pattern
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autometric
The aim of this module is to collect metrics automatically with the
prom-client
on different asynchronous execution pattern. It is written in
TypeScript and includes its type definitions, of course. It uses prom-client
as peer dependency, so don't forget to
add it to your module!
This module is in development. Currently supported are Promises, connect-like middlewares and a pass-through stream. The goal is to enhance the module with support for child-processes and observables patterns in future releases.
How to use
First you have to install this library from npm:
npm install --save autometric
# OR
yarn add autometric
Promises
TypeScript:
import { createAutometricPromise, IAutometricPromiseOptions, ICreateAutometricPromiseOptions } from "autometric";
const AutometricPromise = createAutometricPromise("my_metric_promise", {labels: {labels: "are-optional"}});
// function to change the labels after getting the result
const rewriteLabels = (
currentLabels: {[name: string]: string},
result: boolean | Error, // according to the generic type of the Promise or the Error from the reject
createOptions: ICreateAutometricPromiseOptions,
callOptions: IAutometricPromiseOptions,
) => {
if (result === true) {
return { ...currentLabels, status: "success" };
}
if (result instanceof Error && result.message === "Value is smaller the 1%") {
return { ...currentLabels, status: "error" };
}
return currentLabels;
};
// options are optional
const options = { labels: { additional: "add-additional-labels", labels: "or-overwrite-them" }, rewriteLabels };
new AutometricPromise<boolean>((resolve, reject) => {
setTimeout(() => {
const random = Math.random() > 0.5;
if (random < 0.01) {
return reject(new Error("Value is smaller the 1%"));
}
resolve(Math.random() > 0.5);
}, 100);
}, options);
JavaScript:
import { createAutometricPromise } from "autometric";
const AutometricPromise = createAutometricPromise("my_metric_promise", {labels: {labels: "are-optional"}});
// function to change the labels after getting the result
const rewriteLabels = (currentLabels, result, createOptions, callOptions) => {
if (result === true) {
return { ...currentLabels, status: "success" };
}
if (result instanceof Error && result.message === "Value is smaller the 1%") {
return { ...currentLabels, status: "error" };
}
return currentLabels;
};
// options are optional
const options = { labels: { additional: "add-additional-labels", labels: "or-overwrite-them" }, rewriteLabels };
new AutometricPromise<boolean>((resolve, reject) => {
setTimeout(() => {
const random = Math.random() > 0.5;
if (random < 0.01) {
return reject(new Error("Value is smaller the 1%"));
}
resolve(Math.random() > 0.5);
}, 100);
}, options);
The promise of autometric will collect the following metrics:
name + "_calls_total"
as Counter: counts Promises that start its execution.name + "_durations_ms"
as Summary: summary over the duration from execution start until it resolves or rejects. It will add a status (success / fail) to the metric as long as not disabled via thenoStatusLabel
option.
With the pass-through stream
TypeScript:
import { createAutometricStreamPipe, IAutometricCreateOptions, IAutometricStreamOptions } from "autometric";
import { createReadStream, createWriteStream } from "fs";
const AutometricPipe = createAutometricStreamPipe("my_metric_stream", {labels: {labels: "are-optional"}});
// function to change the labels after getting a chunk
const rewriteLabels = (
currentLabels: {[name: string]: string},
chunk: Buffer,
encoding: string,
createOptions: IAutometricCreateOptions,
callOptions: IAutometricStreamOptions,
) => {
return {...currentLabels, encoding};
};
// options are optional
const options = { labels: { additional: "add-additional-labels", labels: "or-overwrite-them" }, rewriteLabels };
const metricsPipe = new AutometricPipe(options);
const reader = createReadStream("path/to/read");
const writer = createWriteStream("path/to/write");
reader.pipe(metricsPipe).pipe(writer);
JavaScript:
import { createAutometricStreamPipe } from "autometric";
import { createReadStream, createWriteStream } from "fs";
const AutometricPipe = createAutometricStreamPipe("my_metric_stream", {labels: {labels: "are-optional"}});
// function to change the labels after getting a chunk
const rewriteLabels = (currentLabels, chunk, encoding, createOptions, callOptions) => {
return {...currentLabels, encoding};
};
// options are optional
const options = { labels: { additional: "add-additional-labels", labels: "or-overwrite-them" }, rewriteLabels };
const metricsPipe = new AutometricPipe(options);
const reader = createReadStream("path/to/read");
const writer = createWriteStream("path/to/write");
reader.pipe(metricsPipe).pipe(writer);
The pass-through pipe of autometric will collect the following metrics:
name + "_chunk_sizes_bytes"
as Summary: summary over the size in bytes of a chunk (only for strings or Buffers)name + "_durations_ms"
as Summary: summary over the duration from the first chunk until the end event.name + "_elapsed_time_ms"
as Summary: Time between emits of chunksname + "_ends_total"
as Counter: counts streams that endsname + "_non_emits_total"
as Counter: counts streams that ends without emitting any dataname + "_throughput_bytes"
as Summary: a summary over the processed bytes in one stream
Connect-like middlware
This middleware is build for express, but it should also work with other connect-like middlewares
TypeScript:
import { createAutometricMiddleware } from "autometric";
import * as express from "express";
const app = express();
const middlewareObject = createAutometricMiddleware("my_metric_middleware", {labels: {labels: "are-optional"}});
// function to change the labels after getting a chunk
const rewriteLabels = (currentLabels, chunk, encoding, createOptions, callOptions) => {
return {...currentLabels, encoding};
};
// options are optional
const options = {
labels: {
additional: "add-additional-labels",
labels: "or-overwrite-them",
service: "user-auth",
},
rewriteLabels,
};
app.get("/api/user", middlewareObject.createMiddleware(options), (req, res) => {
// ...
});
JavaScript:
const { createAutometricMiddleware } = require("autometric");
const express = require("express");
const app = express();
const middlewareObject = createAutometricMiddleware("my_metric_middleware", {labels: {labels: "are-optional"}});
// function to change the labels after getting a chunk
const rewriteLabels = (currentLabels, chunk, encoding, createOptions, callOptions) => {
return {...currentLabels, encoding};
};
// options are optional
const options = {
labels: {
additional: "add-additional-labels",
labels: "or-overwrite-them",
service: "user-auth",
},
rewriteLabels,
};
app.get("/api/user", middlewareObject.createMiddleware(options), (req, res) => {
// ...
});
Get the metrics
This module uses the prom-client
as peer dependency. To get all metrics - including foreign ones - you can use the
prom-client
register like that:
import { createServer } from "http";
import { register } from "prom-client";
createServer((req, res) => {
res.writeHead(200, register.contentType);
res.end(register.metrics());
}).listen(9000);
You can also take the static property register
of the resulting classes to output only the specific metrics, or merge
them with other registers:
AutometricPromise.register.metrics();
// OR
AutometricStreamPassThrough.register.metrics();
// OR
middlewareObject.register.metrics();
Meta metrics from autometric
Autometric also collects metrics from the creation of Autometric metrics collectors. You can access them like this:
import { autometricRegister } from "autometric";
autometricRegister.metrics();
Scripts Tasks
Scripts registered in package.json:
transpile
: Transpile TypeScript Code to JavaScriptdist
: Make a ready for distribution versionlint
: Use the linter for TypeScript Codetest
: Run software- and coverage-tests in node.doc
: Build the API documentation.
Every command is also available as dockerized version, by prefixing docker:
(ex.: docker:lint
)
License
This library is released under the ISC License.