This callable is declared in the wsgi.py file of a Django application. To use Gunicorn, it must bind to an application callable (what the application server uses to communicate with your code) as an entry point. The Gunicorn entry point is overridden locally if your app is run with Python: Django or Python: Flask. It does not need to be installed in your virtual environment/host machine. Note: To use Gunicorn as your web server, it must be included in the requirements.txt file as an app dependency.
Since it is referenced in the default Dockerfile, it is included as a dependency in the requirements.txt file. To give Python Web Developers a great starting point, we chose to use Gunicorn as the default web server. Gunicorn modifications for Django and Flask apps Press Tab or Enter to complete the statement, then set the key to the name of the variable, and set the value.įor more information about setting and using environment variables in the Dockerfile, see the ENV instruction and Environment replacement section in the Docker documentation. Underneath the EXPOSE statement, type ⌃Space (Windows, Linux Ctrl+Space) to trigger IntelliSense and scroll to ENV. The Docker Extension helps you author Dockerfiles by using IntelliSense to provide auto-completions and contextual help. This step is only required if you have environment variables that need to be set in the container's environment. 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 Docker Compose was selected, 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 of 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. Select either Yes or No when prompted to include Docker Compose files. Django defaults to port 8000, while Flask defaults to port 5000 however, any unused port will work. Note: If Python: Django or Python: Flask was selected, specify app port for local development. 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. According to official Flask documentation, this is the path to where you create your Flask instance. Note: According to official Django documentation, this path is commonly manage.py (root folder) or subfolder_name/manage.py. If you created a python app with hello.py according to the Python tutorial, choose that. 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 the prompt appears, select Python: Django, Python: Flask, or Python: General as the app type.
Open the Command Palette ( ⇧⌘P (Windows, Linux Ctrl+Shift+P)) and use the Docker: Add Docker Files to Workspace. Python-sample-vscode-flask-tutorial, which is the result of following the Flask TutorialĪfter verifying your app runs properly, you can now Dockerize your application. 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 use one of the following samples: If you don't have a Python project already, follow the tutorial Getting started with Python.
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