Author: techworkshop

Finding bugs using PHPStan as a Static Analyzer

With PHP being an interpreted language it has a downside when it comes to finding bugs in your code. It will not show you errors in your software until you actually run it. PHPStan tries to solve this problem by doing static analysis on your code. It was recently created by Ondrej Mirtes.

Running PHPStan will tell you about bugs in your codebase almost instantly (yes, it’s very fast). At the time of writing this article, PHPStan currently checks your code on:

  • The existence of classes and interfaces in an instance of, catch type hints, other language constructs, and even annotations. PHP does not do this and just stays silent instead.
  • Existence of variables while respecting scopes of branches and loops.
  • Existence and visibility of called methods and functions.
  • Existence and visibility of accessed properties and constants.
  • Correct types assigned to properties.
  • The correct number and types of parameters are passed to constructors, methods, and functions.
  • Correct types returned from methods and functions.
  • The correct number of parameters passed to sprintf/printf calls is based on format strings.
  • Useless casts like (string) ‘foo’.
  • Unused constructor parameters – they can either be deleted or the author forgot to use them in the class code.
  • That only objects are passed to the clone keyword.

As you can see, it contains a lot of useful checks which will warn you of potential bugs before you even run your code.

Installing PHPStan

Installing PHPStan is as easy as including it in your project through composer:

$ composer require --dev phpstan/phpstan

We can now run PHPStan from the base directory of our project:

$ vendor/bin/phpstan analyze -l 4 src

A breakdown of this command:

  • vendor/bin/phpstan is the executable
  • analyze tells PHPStan to analyze all files in the given directories
  • -l 4 means that we want to analyse on the most strict level
  • src is the directory we want to analyse

Try running this in your own project and see what kind of potential errors are living in your codebase.

Integrating PHPStan into CI

It’s super easy to use PHPStan in Continuous Integration. For most of my personal projects, I use TravisCI. Since we’ve included PHPStan as a dev-dependency in our composer.json file we just have to add the PHPStan executable to the scripts that the CI-software needs to run.

For TravisCI, this means just changing the default script in a .travis.yml like this:

language: php
php:
  - '8.0'
install: composer install

# Simply add these lines
script:
    - vendor/bin/phpunit
    - vendor/bin/phpstan analyse src tests --level=4

The default script that TravisCI runs for PHP projects is simply phpunit. Now we’ve added PHPStan to it. If PHPStan finds any errors within your project, the build will fail.

Error Handling in PHP (Part 2)

Now that we know, how to log errors in any system developed in PHP, we can move to our next section for keeping track of these logged errors. If you haven’t read how to log errors, read part 1 of error handling in PHP.

To keep track of these logged errors, we need to create a script to read those log files in a systematic way. Refer to the below code to read log files,

public function errorLogs($filePath = 'error.log') {

        $fileContent = file($filePath);

        $errorsArray = array();
        if(sizeof($fileContent) == 0) {
            return false;
        }

        foreach($fileContent as $row) {
            $errors = explode(":  ", $row);

            if(empty($errors[1])) continue;
            $errorsArray[] = $errors;
        }

        return array_reverse($errorsArray, true);
}

Explanation:

$fileContent = file($filePath);

This line of code will read the file line by line from the provided file path.

if(sizeof($fileContent) == 0) {
    return false;
}

After reading the file, if the size of the file content is 0 then, the function will return false. So, the purpose of this function is to stop the execution of the function if the provided file is empty and returns false.

foreach($fileContent as $row) {
      $errors = explode(":  ", $row);

      if(empty($errors[1])) continue;
      $errorsArray[] = $errors;
}

This part of the function will loop through the log contents row by row. For each row, it will explode the line with ‘:’ to separate the date and actual error details.

If the error details are empty for any row, it will skip that row. Otherwise, it will collect the errors in another array.

return array_reverse($errorsArray, true);

The last line of the function will reverse the error data and returned the reversed result. So, that we can see the latest errors first.

This way we can create a simple function to display the list of errors in a tabular format from the error log files we generated for each of the modules in the application system.

Error handling in PHP (Part 1)

Error handling is an important part of any developer as it provides vital flaws about the program developed by the developer. So, it becomes very crucial to learn the techniques to manage it.

As a developer, we have been told that you should not show errors on the production server because of the security risk due to the path displayed by the PHP errors displayed on the screen. So, we add the following code for the production server,

ini_set('error_reporting', 0);
error_reporting(0);

ini_set('display_errors', FALSE);

But, without error logs, developers cannot able to know actual problems or flaws in the system. So, rather than hiding errors, developers should store them in the log files. We can achieve this using the following code,

ini_set('error_reporting', E_ALL);
error_reporting(E_ALL);
ini_set('log_errors', TRUE);
ini_set('html_errors', FALSE);
ini_set('error_log', LOG_PATH.'error.log');
ini_set('display_errors', FALSE);

This way, we can manage error logs and hide errors on the production server. We can manage separate log files for the different modules of the project.

Update a bunch of images at once and export them as separate images using GIMP

Scaling of images can be achieved without using any scripts/extensions, but to export all images as separate image files, we need to install a plugin in GIMP named ‘Export Layers’.

You can download this plugin from the following link,

https://khalim19.github.io/gimp-plugin-export-layers/

This plugin is available for Windows, Linux, and macOS. For Windows, it can be installed using an executable file.

After installation of this plugin, restart GIMP.

Now, that we have the plugin installed, there is a very simple way to accomplish this task using the following easy steps.

  1. File > Open as layers to select all images to perform a specific task (This is one single action since the file selector allows the selection of multiple images)
  2. Image > Scale image to 75×75 to scale all layers together (We can perform many different actions similar to scaling like transforming, resizing, cropping, etc.)
  3. File > Export Layers will open a dialog that appears allows you to choose the output folder and file extension.
Export Layers Dialog Box

The above steps will save all your image layers to separate files. This could reduce so many steps of similar tasks.

You can perform many different actions like transforming, cropping, resizing, etc. using same steps.

Setup and use a virtual python environment in Ubuntu

With virtualenvwrapper (user-friendly wrappers for the functionality of virtualenv)

Install virtualenv

Install virtualenv with

sudo apt-get install virtualenv

(for Ubuntu 14.04 (trusty) install python-virtualenv)

Install virtualenvwrapper

The reason we are also installing virtualenvwrapper is that it offers nice and simple commands to manage your virtual environments. There are two ways to install virtualenvwrapper:

As Ubuntu package (from Ubuntu 16.04)

Run sudo apt install virtualenvwrapper then run echo "source /usr/share/virtualenvwrapper/virtualenvwrapper.sh" >> ~/.bashrc

Using pip

  1. Install and/or update pip

    Install pip for Python 2 with
    sudo apt-get install python-pip

    or for Python 3
    sudo apt-get install python3-pip

    (if you use Python 3, you may need to use pip3 instead of pip in the rest of this guide).

    Optional (but recommended): 
    Turn on bash autocomplete for pip Run
    pip completion --bash >> ~/.bashrc

    and run 

    source ~/.bashrc 

    to enable.
  2. Install virtualenvwrapper Because we want to avoid sudo pip we install virtualenvwrapper locally (by default under ~/.local) with:
    pip install --user virtualenvwrapper

    and

    echo "export VIRTUALENVWRAPPER_PYTHON=/usr/bin/python3" >> ~/.bashrc
  3. Source virtualenvwrapper in .bashrc

    echo "source ~/.local/bin/virtualenvwrapper.sh" >> ~/.bashrc

Setup virtualenv and virtualenvwrapper:

First, we export the WORKON_HOME variable which contains the directory in which our virtual environments are to be stored. Let’s make this ~/.virtualenvs

export WORKON_HOME=~/.virtualenvs

now also create this directory

mkdir $WORKON_HOME

and put this export in our ~/.bashrc file so this variable gets automatically defined

echo "export WORKON_HOME=$WORKON_HOME" >> ~/.bashrc

We can also add some extra tricks like the following, which makes sure that if pip creates an extra virtual environment, it is also placed in our WORKON_HOME directory:

echo "export PIP_VIRTUALENV_BASE=$WORKON_HOME" >> ~/.bashrc

Source ~/.bashrc to load the changes

source ~/.bashrc

Test if it works

Now we create our first virtual environment. The -p argument is optional, it is used to set the Python version to use; it can also be python3 for example.

mkvirtualenv -p python2.7 test

You will see that the environment will be set up, and your prompt now includes the name of your active environment in parentheses. Also if you now run

python -c "import sys; print sys.path"

you should see a lot of /home/user/.virtualenv/... because it now doesn’t use your system site packages.

You can deactivate your environment by running

deactivate

and if you want to work on it again, simply type

workon test

Finally, if you want to delete your environment, type

rmvirtualenv test

Enjoy!