The Docker Extension helps you author Dockerfiles by using IntelliSense to provide auto-completions and contextual help.
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This step is not required, but it is included to help you understand how to add environment variables that need to be set in the container's environment. (Optional) Add an environment variable to the image This will overwrite your current requirements.txt file. If the virtual environment/host machine already has these prerequisites installed and is supposed to be identical to the container environment, ensure app dependencies are ported over by running pip freeze > requirements.txt in the terminal. Important Note: To use our setup, the Python framework (Django/Flask) and Gunicorn must be included in the requirements.txt file. If one does not already exist, a requirements.txt file for capturing all app dependencies. If you're using Docker Compose, a docker-compose.yml and file. dockerignore file to reduce the image size by excluding files and folders that aren't needed such as. To learn more about IntelliSense in this file, refer to the overview.Ī. With all this information, the Docker extension creates the following files:Ī Dockerfile. Compose is typically used when running multiple containers at once. If you select Yes, you will need to verify the path to your wsgi.py file in the Dockerfile to run the Compose Up command successfully. When prompted to include Docker Compose, select No if you do not want a Docker Compose file. Any unused will port, but Django and Flask use standard default ports. We recommend selecting port 1024 or above to mitigate security concerns from running as a root user. Tip: You may also enter the path to a folder name as long as this folder includes a _main_.py file. See the official Django documentation.įlask: Choose the path to where you create your Flask instance. If you created a python app with hello.py according to the Getting Started with Python tutorial, choose that.ĭjango: Choose manage.py (root folder) or subfolder_name/manage.py. This excludes the workspace folder you start from. For this tutorial, we'll focus on the Python: General case, but will also include notes for Django and Flask.Įnter the relative path to the app's entry point. When prompted for the app type, select Python: Django, Python: Flask, or Python: General as the app type. Open the Command Palette ( ⇧⌘P (Windows, Linux Ctrl+Shift+P)) and choose Docker: Add Docker Files to Workspace.: Note: For this tutorial, be sure to use the tutorial branch of the sample repos.Īfter verifying your app runs properly, you can now containerize your application. Python-sample-vscode-flask-tutorial, which is the result of following the Flask Tutorial Python-sample-vscode-django-tutorial, which is the result of following the Django Tutorial Note: If you want to containerize a complete Django or Flask web app, you can start with one of the following samples: If you don't have a Python project already, follow the tutorial Getting started with Python.
#Microsoft vscode python runner install#
To install the extension, open the Extensions view ( ⇧⌘X (Windows, Linux Ctrl+Shift+X)), search for docker to filter results and select Docker extension authored by Microsoft.
On Linux, you should also enable Docker CLI for the non-root user account that will be used to run VS Code. Install Docker on your machine and add it to the system path. Build, run, and verify the functionality of a Django, Flask, or General Python app.Create a Dockerfile file describing a simple Python container.Configure IntelliSense for cross-compiling.
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