This time we will implement a code style check to sure that our code not only works correctly but follows the style requirements. This is especially useful when working in a team and all members follow requirements.
This is the second part of a series on creating a PHP package.
In the previous part, we initialized a project using the composer and wrote the code itself. In this part, we will integrate the PHPUnit into our project and write tests.
Code should be covered with tests. This will help to avoid bugs when modifying the code. When we connect the CI to the repository, tests will run automatically as pull requests are created.
If you created a useful PHP library and want to share it with others or reuse it in your other projects, it will be convenient to pack it into a separate package. In this series of articles, we'll discover how to properly organize code into a reusable package, create a structure of the project, write unit tests, create an automatic code style check, implement CI, and much more. As an example, we will write step by step a small PHP library for syntax highlighting. It will accept text and return highlighted PHP code.
Until recently AWS Lambda did not support PHP, but with the advent of the runtime API and layers, now we able to implement an AWS Lambda runtime in any programming language including PHP. Each layer can contain libraries, a custom runtime, or other dependencies. You can create layers, or use layers published by AWS and other AWS customers.
There is a great practical example of creating a Custom Runtime for PHP if you want to build a PHP runtime layer by yourself. In this article, we'll use partner supported PHP layer for Lambda from stackery for a quick understanding of its use.
What is a worker?
PHP is a single-threaded interpreter by design at the core language level, though using threads is made possible by the "pthreads" PECL extension.
Suppose that you have 5 requests that come to your site at the exact same time. Will requests wait in a queue until the previous script completes its work due single-threaded php interpreter?
Today Docker became an important part of the development process. Docker creates an isolated environment in containers within the operating system. This allows to get a transferable environment - everything in the container can be saved, copied and deployed to another system.
We'll prepare our own local docker environment for PHP development with components:
Apache Kafka is a fast, real-time, distributed, fault-tolerant message broker.
Using Kafka, you can transfer streaming data to the cluster, which is generated continuously, for example, a history of website visits, financial transactions, online shopping orders, application logs, etc. This information can help to understand what is happening with the data right now, create recommendations, use machine learning or aggregate data for further analysis. All this takes seconds or minutes, instead of hours and days.