![]() TypeError: can't convert BigInt to number.TypeError: can't assign to property "x" on "y": not an object.TypeError: "x" is not a non-null object.Synta圎rror: Using to indicate sourceURL pragmas is deprecated.Synta圎rror: unterminated string literal.Synta圎rror: unparenthesized unary expression can't appear on the left-hand side of '**'.Synta圎rror: unlabeled break must be inside loop or switch.Synta圎rror: Unexpected '#' used outside of class body.Synta圎rror: test for equality (=) mistyped as assignment (=)?.Synta圎rror: redeclaration of formal parameter "x".Synta圎rror: missing = in const declaration.Unicode character class escape: \p after property list.Character class escape: \d, \D, \w, \W, \s, \S.Enumerability and ownership of properties.They can be utilized with this kind of behavior, but also can be a great way to track HTTP calls in your NodeJS APIs. However, I liked this implementation because it used some core JavaScript concepts and there was no "black box" that you often get with packages.Īnother thing that I wanted to mention was that if you're using axios then there are also things called interceptors. I could have just as easily used something like axios-retry or several other packages that do something similar. This basically resolved the intermittent failures that I saw originally. So after adding this, I've been watching my APIs performance for some time. If it fails after 5 attempts, then it throws an exception (which can be handled by any function that calls this). Each time keeping track of a number of attempts. If you notice it calls my sleep function, and basically retries the HTTP call in 5 second intervals. So to start off with I originally had an API call that looked like this:Įnter fullscreen mode Exit fullscreen mode In this post I'm just going to show what I did, and how you can use this in your programs. I liked my function because it was very simple and I understood what it was doing end to end. There are several ways to do this (and npm packages as well). So to do this I built a custom "sleep" function. Otherwise, it would force my API to fail as a result. Regardless, I needed to build in some mechanism to handle this behavior. My assumption was this was based on load etc. This was pretty frustrating because it would happen at different points in the day. What I noticed in testing was that if it failed, but I waited a few seconds and tried again, it worked. The issue I had was that one of the API calls would intermittently fail. I'm using some of the NOAA Endpoints that you can see here. Recently, I was working on an NodeJS API that calls a set of endpoints to provide a weather forecast. I actually cover a basic walkthrough of this in my post Optimizing Angular with Async Await. Which forces things that are async (like promises) to complete before getting a payload and making calls. One common approach to handling things like this is using async await. It makes it harder when you want to streamline processing to force control on things like threads or API calls. This means that things like scope and order can make or break JavaScript programs. Unlike many other languages, JavaScript operates inside a hosted environment which determines how the code is actually ran. When learning JavaScript for the first time, one of the biggest challenges is understanding the event loop. ![]() They're showing what a well rested NodeJS function looks like.
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