Entries with the tag “laravel”

There are many ways to handle cascading functionality in Laravel. You can do this with observers, events, manually dispatched jobs - even in MySQL with cascading deletes.

I prefer to keep my cascading logic in the application code by using Eloquent Model Events. This is super easy when it’s just a single level of model. But what about relationships?

Docker provides the HEALTHCHECK instruction for Dockerfiles and Docker Compose files.

While not absolutely required, configuring these can make your IDE and environment more robust and verbose.

Here’s what I use with some common containers in Laravel projects.

Issuing events with Livewire is a useful way to communicate between components. But, there are some caveats to be aware of - especially if you’re coming from something like React or Vue. The majority of this comes from the fact that Livewire treats every component as an island.

This had stumped me a few times in the past. Because of this, I wanted to give a quick example of how you can use Livewire events in a way that you might be more familiar with: with reactivity.

In Laravel 11+, it’s quite easy to tell the exception handler to render all (or a select portion of them) as JSON regardless of the request/response type. But what about earlier versions?

Most things we want to validate in Laravel are simple. But, what should we do when we want to add more validation outside of the standard patterns that are provided? In this example, I’ll show how I do just that.

Sometimes I need to spin up a quick Laravel instance on my Mac to test something out. With just a couple keystrokes, I can get a brand new Laravel instance running in a Docker container, ready for my IDE and testing. Here’s how.

I love writing in Markdown - and offering that functionality in WYSIWYG editors for our users. But, it just seems so complicated to try to show markdown in Laravel blade files. So, I made a quick anonymous component that makes this easier.

You’ve got Laravel throttling set up on authentication, password reset and other sensitive endpoints. But, how do you know this is actually working to stop people? Or what if you either want to admonish bad users or proactively reach out with support to help them? Perhaps you might want to log your throttled attempts. It’s pretty easy.

There are packages out there to add logging to the HTTP client in Laravel for outgoing requests freely available. Those are great, but what about if you’re providing an API - and you need to log incoming requests and responses? There’s not a single place to do that - or is there? Let’s look at a middleware to log our incoming requests and responses.

When projects don’t have a proper set up of dev data using Laravel seeders, getting started can be kind of tough. And if you can help it, you really don’t want to be pulling data from production. User data is precious and should be protected! So what kind of package or utility could help us here? Let me detail out my thoughts - maybe it’s something you want to build!

I love using Laravel Database Factories for setting up test data. But, what about when we want to do more complex domain object creation besides just data values or relationships created outside of the factory? Let’s try using the afterCreated() hook and states.

There are a number of tools and packages that help you manage your users and their associated password reset flows available. The Laravel docs also describe a way that you can reset your password in your own controller. Depending on the use case of the application, I end up having to use code like this in some applications when other packages won’t work as drop-ins. But, can we make this example a little better, more secure, easier to read or a better UX? I think so. Let’s go.

I’m a huge fan of using the Laravel HTTP Client for requests to third-party APIs. It’s clean and easy, nice for unit testing, and exposes methods for the most common functionality we need when consuming APIs. But one thing has bothered me - how do I log both my request and the API’s response, no matter what, with no special calls. Well, we’re in luck - using some global middleware on the client, we can do just that.

If you’re going to use an Action pattern for your application, be careful what you expect coming in as input. In fact, input should be loose and output should be tightly coupled. Let me explain…

The other day I was troubleshooting some code for a form in Laravel that was using a PUT method. Turns out the previous developer had not understood - and I had missed - that the @method override was missing. So I got to thinking - what if we made a form component that handles this for us? Is this a good idea?

It’s nice that you can customize the 4xx/5xx error blade files if they’re published in Laravel - I like that. But what if you want to access the current user - or even use your standard layout - for the not found / 404 error? It’s actually quite easy. Let’s check it out.

The specific challenge is to sort users in a Laravel Nova application by their role. For this specific example, though, we have a number of assumptions. Although this article solves this very specific problem, you can probably extend it to apply to other custom data challenges in Nova. Let’s check it out.

I love PHPStorm, but it can only do so much. Even with plugins like Laravel Idea, you may still have some missing features. One that I wish I had was autocomplete of models from collections or paginators in blade files. Well, turns out there’s an easy enough way to add this functionality for yourself.

I love Laravel request classes for validation. You should be using these whenever you can! But sometimes, writing the rules seems redundant between store and update. There’s a quick fix, though.

The prepareForValidation() method is really useful in Laravel requests: it helps modify the incoming data so that validation might be easier. But you need to be careful that you implement it correctly and don’t mess up your data. Let me explain.

I love using Policies in Laravel. A particularly useful feature is the interception of checks. But what if only some of our policies need that? That’s where we can judiciously use traits.

What’s the difference between unit test, integration test, and a feature test? Which should you use for what type of test? Is it just preference or does performance factor in when using Laravel? Let me give you my take from over a decade of unit testing experience.

There seems to be an endless debate: clearly written code doesn’t need comments vs comments are needed to explain code and give context. I can see both sides of this debate, but there is a middle ground. Let me show you one way.

I’d like to say I don’t ever have tons of error logs in my Laravel projects - but, sometimes it happens. With a sea of text, how can you see what you need to see easily? Enter JetBrain’s idealog plugin in PHPStorm.

The State of Security of Laravel Apps in 2021 is a whitepaper based on the quiz submissions from Laravel programmers.

What if you need to see your config quickly in Laravel from the command line? And you don’t want to use Tinker? Let me show you how I do it…

First off, if you can use something like mailtrap I definitely recommend doing it. Mailtrap provides credentials and configuration so you can capture all of your email into a test inbox. But if that’s not possible, there is another option - and it has to do with Laravel’s mail events.

If you follow the instructions to customize the configuration of Bugsnag’s Laravel package, they’ll tell you to run vendor:publish. But this is not what I want.

I use Laravel Nova in a lot of my projects, but I’ve never liked the idea of storing the files in a local directory after download. Yes, you can use credentials for a Composer-based install, true, but I wanted something that didn’t require that. Turns out you can install packages like Laravel Nova from a zip file locally. Here’s how.

I’ll say it again: do not install Laravel Tinker in production, and certainly do not use it. It’s a great tool to do work in your application, but only in test and development environments. That’s why I only install it in my require-dev section of my composer.json file.

Laravel is a great framework that is pretty secure by default. However, configuration mistakes or coding errors can still leave your app open for attack. Where do you go for help?

When given a choice of methods and ways to do something, it might not be clear which way is the best. As programmers, we tend to pick the easiest, then. However, the easiest can have security implications. Let me illustrate why we should use more stringent controls in a Laravel project.

Please stop using assertDatabaseHas in Laravel. There are many reasons why this is bad, and there are better options available. Let’s find out why.

Currently, there are two pretty common packages for interacting with your database: Eloquent and Doctrine. Eloquent is part of Laravel and Doctrine, while used often on its own, is usually referenced with Symfony. If you’ve come to read this article, you’re probably versed in Doctrine and wondering why you can’t just - or shouldn’t just - use it with your new Laravel project.

Open source software is wonderful for many reasons. One of the best is we can see and inspect the software for vulnerabilities. But, far too many people actually do this. Let me demonstrate, using a Laravel package, how this lack of review might backfire and cause you grief.

Sometimes it makes sense to filter user input before it goes to validation. If you’re using controller-based validation in Laravel, this is pretty easy. But, if you’re doing your validation in request classes, your approach needs to be different.

There’s a struggle to balance the easy-to-use Laravel helpers and functions with very verbose, complicated methods in unit tests. As I’ve been relying on Laravel’s way of doing testing more, I’ve ran into a couple of gotchas that I should share.

There are tons of ways to answer this question each with its own benefits. Let’s check out a few.

Laravel has a built in request helper called wantsJson() that determines if the request is requesting JSON with the Accept: application/json header. But, what if you want to only accept JSON responses? I set up a Laravel middleware that rejects anything that isn’t JSON.

I guess I should RTFM more often… but I didn’t remember (or know??) that MySQL truncate table causes an implicit commit.

By now, you’ve probably written many database migrations in Laravel. But, then something else happens. Perhaps your business model changed, your data attributes changed or you’re just refactoring to a stronger architecture. Doesn’t matter which, you’re going to need to convert and migrate some data.

When someone breaches the security of a web app, sometimes it’s not discovered to weeks or months later. There are a number of tools that specialize in intrusion detection, but they may be costly or difficult to set up. Another idea is to use a canary in the coal mine or a honey pot. Here we’ll talk about the concept and then demonstrate some easy and quick methods.

Laravel has a lot of the most common functionality built into the framework. However, decisions need to be made to balance the needs of the majority of use cases with the stability and agility that programmers need. No one really wants a bloated library. Because of this, you might find that you need functionality that is not directly built into Laravel. When I started working with Laravel-based CSV responses, this was the case. (This article is based on Laravel 5.6.)

For some API work in Laravel, I wanted to validate that the incoming request parameter was a boolean value. At first I tried using the built in boolean slug validator but it didn’t accept all of the ‘boolean’ values I wanted to use. (Also there were weird scenarios where string values of false were triggering as true - like what I wrote about here.

You can make use of guarded or fillable attributes in Eloquent models in Laravel to help control what values you might allow to be updated via your API. But, I wanted to go a step further and actually stop certain values from being passed in. You could go pretty wild with this and try to block everything, but that’s not what I did. I made this validator.

This isn’t a one-size-fits-all suggestion, but it’s a start to help you think about how you actually interact with factories in Laravel. They are used for test data, and are ran very often, multiple times in a row. You don’t need as much random information as you need. (In fact, a lot of times I see people overusing Faker even.)

For testing, I tend to use Postman - which gives you the option to view your API JSON responses in a preview mode (interactive), pretty and raw. But, the other day I heard someone saying sometimes they just want to invoke pretty print in their JSON responses without having to use an external tool and set up a whole environment.

In Laravel, the Support\Str class has a lot of useful methods for switching formats of strings between each other. I needed to take a hyphenated slug and change it to title case words. In Laravel land, I think this is referred to as “Studly” - because I found something very similar called Str::studly(). This converts underline or hyphenated words into a single string with capital letters. I wanted to not concatenate all of these.

It’s important to unit test your application code - even your console commands. So many times, I’ve seen people using the Artisan facade inside of console commands to either queue up new commands or call a different command. This makes it more difficult to unit test the application - you have to rely more on fakery (requiring you to reset your application each time then) and/or integration tests.

One thing I like about Laravel is the amount of built-in functionality that is available. But when this functionality is left in default configuration (much like many default configuration items getting hacked), there can be consequences.

In my Laravel application, I have an end point that will retrieve a collection of Client models. I have many other unit tests that validate that my repository returns the proper clients when requested, that my client model is sound. My last test is a feature test checks that if I retrieve a list of clients from the end point there is proper pagination and client models exist. I don’t really need to test the exact values because I know this will work - from all my other tests.

A nice feature of Laravel is the ability to add a listener to the DB object’s events (or SQL queries). I’ve seen some people add this, then comment it out when it’s done, then un-comment it if they need it again. I don’t like that - I don’t want commented code in my files (also that’s why we have version control).

A pet-peeve of mine is pagination that doesn’t work properly. One that I ran into lately with Laravel is related to the pagination system it has built in. I was able to request pages that were larger than the last page with no discernible error. So, I decided to write a middleware to handle this issue for all of my content.

I hate to admit it, but I do like Laravel’s Tinker package. Sometimes, just testing out your relationships on the command line before you go further is super helpful.

Normally, when I write unit tests, I don’t use Laravel’s facade and fakery methods. I do a lot of injection of services, but in one particular case, when working with the Queue system, I had to use the facade for faking the queue and asserting some jobs were pushed.

If you’re not using Swagger (or OpenAPI) yet to document your APIs, you should start. It’s pretty simple to get started - especially in PHP. I recommend using the swagger-php package - it’s pretty easy. Just use annotations, and then generate the Swagger definition when you’re done.