How to Gracefully Handle Failures in a NodeJS API Client

November 07, 2017 0 Comments

How to Gracefully Handle Failures in a NodeJS API Client



There are two facts of life: you breathe air, and errors will occur in your programs. Web clients over the HTTP protocol are prone to a wide range of mishaps. For programmers, anything that waits for a response over a network is risky. The problem is worse with mobile devices where network connectivity is a luxury at times. As clients request resources from high latency sources you end up with only two facts of life.

ButterCMS is a content management system as a service. The database, logic, and administrative dashboard is a service through a web API. The question is what can you do with the inevitable errors in your NodeJS client? Errors over a client API are bound to happen–it is what you do about it that matters most.

I’ll use the buttercms client API to get blog post data through an endpoint. By the end, you will have the equipment necessary to handle all the exceptions this client API can throw at you.

Basic Exception Handling

To begin, let’s get blog post data using the NodeJS API client:'example-post') .then(function onSuccess(resp) { console.log(; });

This will work except it leaves you blind to any exceptions the client can throw at you. Note the client API uses promises to get blog data. Keep this in mind as JavaScript takes on a new dimension through promises.

To handle exceptions using a promise, slap a catch() at the end. For example:'example-post') .catch(function onError(error) { console.log(error); });

Done! A JavaScript promise handles all errors for you and executes the onError() callback. The error object contains very useful information about what went wrong.

If you look under the hood of the ButterCMS client API you’ll see it uses axios. Axios is a promise based HTTP client that works in the browser and Node.js.

Examining the Axios error object you get back through a promise reveals the following error object:

{data:Object, status:401, statusText:'Unauthorized', headers:Object, config:Object}

The HTTP status code tells me what the error was.

Better Exception Handling

The type of errors you get will depend on the client API endpoint. For example, for ButterCMS you have a list of possible responses. You can get a 400, 401, or a 404 depending on the request.

One way to deal with these exceptions is to handle each status in a different way. For example, you could handle errors:'example-post') .catch(function onError(error) { if (error.status === 400) { console.log('Bad request, often due to missing a required parameter.'); } else if (error.status === 401) { console.log('No valid API key provided.'); } else if (error.status === 404) { console.log('The requested resource doesn\'t exist.'); } });

By using the HTTP status as the source of truth, you can interpret the reason for the error however you want.

Other companies, like the Stripe API client, solve the problem with an error type on the response. The error typestatus code tells you what type of error is coming back in the response.

With all this, one final question remains. “What happens when the network request times out?”

For a client API, any request over a network is very risky. Network connectivity can be a luxury one can’t afford at times.

Let’s examine what error exception you get when it times out. The ButterCMS client API has a default value of 3000 ms or 3 seconds.

Take a look at this error object when it times out from the exception handler:

{code:'ECONNABORTED', message:String, stack:String, timeout:3000}

Like any good error object, it has plenty of good details about the exception. Note this error object is different from the one we saw earlier. One distinct difference is the timeout property. This can be useful in dealing with this kind of exception in a unique way.

The question is, “Is there a graceful way to handle these kinds of exceptions?”

Handling Network Errors

One idea is to auto-retry the request after it fails. Anything that waits for a network response can fail. The failure occurs because of circumstances outside your direct control. As developers, it is nice to be in control but life comes with many exceptions.

Polly-js can attempt to retry the action once it detects an error. The polly-js library can handle exceptions through a JavaScript promise. This promise catches the exception in case all the retries fail and executes the catch(). But, we decided not to use polly-js because it is an extra dependency that adds bloat to the client API.

One design principle at play here is: “A little copy-paste is better than an extra dependency.” The bulk of the retry logic is minimal and has exactly what we need to solve the problem.

The crux of auto retries returns a JavaScript promise:

function executeForPromiseWithDelay(config, cb) { return new Promise(function(resolve, reject) { function execute() { var original = cb(); original.then(function(e) { resolve(e); }, function(e) { var delay = config.delays.shift(); if (delay && config.handleFn(e)) { setTimeout(execute, delay); } else { reject(e); } }); } execute(); }); }

The promise has the resolve and reject callbacks encapsulated for automatic retries. The config.handleFn() callback figures out what condition will cause it to retry. The config.delays.shift() will remove the first item from the list and delay the next attempt.

The good news is it can meet a specific condition before there are any retries. The library has a handle() function to set the callback that evaluates the condition. You tell it how many retries, give the condition, and final exception handling.

The buttercms client API has retry capabilities out of the box. To enable auto retries you need this:'example-post') .handle(function onError(error) { // Only retry on time out return error.timeout; }) .executeWithAutoRetry(3) .then(function onSuccess(resp) { console.log(; }) .catch(function onTimeoutError(error) { if (error.timeout) { console.log('The network request has timed out.'); } });

The executeWithAutoRetry() staggers subsequent requests and retries if there is a failure. For example, the first attempt will fail then wait 100ms before the second attempt. The second attempt, if it fails, will wait 200ms before the third. The third attempt will wait 400ms before the fourth and final attempt.

With the ButterCMS API client, you now have a nice way of handling promise based exceptions. All you need to do is configure it to your liking.


When it comes to errors, you can either bury your head in the sand or handle the unexpected with grace and elegance. Any client API that waits for a response through a connection is prone to exceptions. The choice is yours on what to do when erratic behavior happens.

Consider an exception as unpredictable behavior. Except, because it is unpredictable does not mean you can’t prepare in advance. When handling exceptions, focus on anticipating what went wrong, not application logic.

Network connectivity is one of the worst culprits of failures. Be sure to prepare in advance, to give requests a second change in case of a failed connection.

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