You can switch from nginx to apache, change PHP versions and even add services such as Memcached, Solr, Beanstalk and more. I've covered the basics of using DDEV, but there is a lot more that it can do. If you would like to read more on this, then please take a look at their custom commands documentation. Php bin/console now you can run any Symfony console command using ddev console debug:router etc. Create a file called console inside the same web directory as before and add the following. The same can be done for Symfony's console command. This allows me to run ddev phpunit and it will run my testing suite. Php artisan will allow you to run any artisan command such as ddev artisan make:migration create_comments_table and it will generate a new migration file.įor testing, I added a file named phpunit with #!/bin/bash Within this file add the following #!/bin/bash For instance, if you have a Laravel project you can create a file called artisan inside the /.ddev/commands/web directory. You can also add your own custom commands. For instance, you can go to /.ddev/config.yaml and change or add configuration parameters. However, if you need to extend DDEV, you have complete freedom. Extending DDEVįor a basic installation, that's it, you're all finished.
Install cliclick install#
If you wanted to share your project, you need to install ngrok and then you can run ddev share.įor more information on using DDEV's CLI click here. Once complete, DDEV will give you two URLs, and to use for local development. Initial setup and pulling of containers will take a minute or two, but once the containers are downloaded, starting and stopping DDEV will be a cinch. Once complete, you can type ddev start to run the containers inside of Docker. Inside your PHP project's root directory, run ddev config to setup the configuration of DDEV. Mac/Linux install script curl -L | bash Using DDEV in your project Mac/Linux using Brew brew tap drud/ddev & brew install ddev
Install cliclick windows#
Windows using Chocolatey: choco install ddev Extend and share per-project environment configurations.
Install cliclick free#
What are some things you’re struggling with on your CLI? Feel free to email me directly at if you would like help.ĭojo Five can help you with your embedded projects – from a CLI to automating your firmware builds.DDEV is an open source tool that makes it simple to get local PHP development environments up and running in minutes. This may not look to be a huge change but small features can really bring a product together! The -e option is cool as it allows you to continue editing your very own super cool script even after installing it.Īs my script is in ‘C:\Dojofive\blogs\cli-tool’, my command was: pip install -e C:\\Dojofive\\blogs\\cli-toolĮt Voila $ mysupercoolscript useful_commandĪnd there it is! Just a sleek and elegant as I ever dreamed it would be. This is where I ran the instruction: pip install -e Now that we have everything setup, we need to do the important part. Print("Looks like you got it working, finally.")Ĭli = click.CommandCollection(sources=) This will go in the same directory as my setup.py script. I created a group (that is used as my CLI tool name) that has one command: ‘useful_command’. Next up: Creating the actual mysupercoolscript.py script to run my commands, options and other awesome click things. Just need to choose a name and replace mysupercoolscript with your own name. 'mysupercoolscript=mysupercoolscript:mysupercoolscript'Įasy enough. Mine looks a little something like this: #setup.py Step #1: Create setup.pyįirst off, I needed to create a basic setup.py script in my script’s directory. Not to mention I didn’t have to type out all that boring python stuff every time I wanted to use it. When I really wanted it to look like: $ mysupercoolscript useful_command My problem was that calling my CLI tool looked like: $ python mysupercoolscript.py useful_command Everything was all fine except that my CLI tool looked like an amateur had written it. It felt good to get my tool in my computer’s path and be able to run my script with my command prompts. I started to create a CLI tool that I was pretty excited about using the Click library for Python. With 3 easy steps, you can make your CLI tool clean and professional.
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