PyCharm 2019.2 Help

Configuring PyCharm to Work on the VM

Consider the situation when you work on your project on one platform, but want to deploy and run it on a different one. This is where PyCharm helps a lot with its extensive support for remote interpreters.

The task of running a project on a virtual machine falls into several major steps:

  • First, you need to define a virtual box.

  • Second, you need to configure a remote interpreter to run in this virtual box.

  • Finally, you need to launch your script in the remote console.

Before you start, make sure that outside of PyCharm you have already done the following:

  • Installed Oracle's Virtual Box.

  • Installed Vagrant.

  • Added the following executables to your system path:

    • vagrant.bat from your Vagrant installation. This should be done automatically by the installer.

    • VBoxManage.exe from your Oracle's VirtualBox installation.

Creating a virtual box

In the Settings/Preferences dialog (Ctrl+Alt+S), select the page Vagrant, and enter the Vagrant executable and Vagrant instance folder.

If the boxes are already defined, they appear in the list, and you can select one.

Define Vagrant settings

If there is no suitable virtual box, click Add a virtual box to create a new one. Enter the box name and URL for downloading:

After clicking OK, PyCharm downloads the VM template. Thus, the virtual box is created and added it to the environment.

Pay attention to the Vagrant menu commands under the Tools menu. These commands correspond to the standard Vagrant actions. Once a Vagrant box is created, you have to initialize it in project root. To do that, on the main menu, point to Tools | Vagrant, and then choose Init in Project Root.

Choose the folder, if required. Note that you have this choice if there are several projects opened in the same window. Choose the Vagrant box you are going to initialize.

Thus a Vagrantfile is created, and you can view and change it as required:

Generate Vagrantfile

After initialization, perform the vagrant up command (choose Up on the Tools | Vagrant menu). PyCharm runs the vagrant up command, and shows its output in the console:

Running the vagrant up command

Configuring remote interpreter via virtual box

Now open the Settings/Preferences dialog again and select the page Project Interpreter. Here you can select an interpreter from the drop-down list, but what if none of the suggested interpreters meets your needs? Then click the icon Add an interpreter to define your own one. Select Add on the drop-down menu.

In the Configure Remote Python Interpreter dialog, you have to specify the server settings. These settings can be taken from the Vagrant configuration file you've already defined. All the server setting fields are filled with the values, taken from the Vagrant configuration file:

Add an interpreter: Vagrant

Note that the path mappings are defined automatically. However, you can click the Browse button to add your own path mappings:

From this point on, you can run any script of your project on the VM:

Running an app using Vagrant

What's next? Let's log in to the virtual box via SSH.

Connecting to the SSH terminal

Why do we need it it all? PyCharm lets you log in to your virtual box via SSH and work in its console without leaving the IDE. So, on the main menu choose Tools | Run SSH session.... If you have more than one host already defined, select the one you want to connect to:

Select a host to connect

Now that you have direct access to your virtual box, let's first make sure your project directory is properly mapped. To do that, just view the contents of the default vagrant's shared folder /vagrant, and launch one of the available scripts, for example, Solver.py:

Running the script in the Vagrant VM
Last modified: 24 August 2019