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Then we use the ENV command to set three environment variables: It is a good idea to set this explicitly to minimize potential breakage when there are new releases of Debian. The tag bullseye refers to the latest stable Debian release. In this case, we're using Python 3.10.2 and the much smaller in size slim variant that does not contain the common packages contained in the default tag. Docker images can be inherited from other images so instead of creating our own base image, we’ll use the official Python image that already has all the tools and packages that we need for our Django application. The first instruction is a FROM command that tells Docker what base image we would like to use for our application. ĭockerfiles are read from top-to-bottom when an image is created.
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RUN pip install -r requirements.txt # Copy project COPY. # Pull base image FROM python:3.10.2 -slim -bullseye # Set environment variables ENV PIP_DISABLE_PIP_VERSION_CHECK 1 ENV PYTHONDONTWRITEBYTECODE 1 ENV PYTHONUNBUFFERED 1 # Set work directory WORKDIR /code # Install dependencies COPY.
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Within it add the following code which we'll walk through line-by-line below. Use your text editor to create a new Dockerfile file in the project-level directory next to the manage.py file. To build our own image we create a special file known as a Dockerfile that defines the steps to create and run the custom image. Dockerfileįor our Django project, we need to create a custom image that contains Python but also installs our code and has additional configuration details. For example, there is a long list of officially supported images for Python depending on the version and flavour of Python desired. Images are often based on another image with some additional customization. To continue our apartment analogy from earlier in the chapter, an image is a blueprint or set of plans for building an apartment the container is the actual, fully-built building. The image is the instructions while the container is the actual running instance of an image.
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(.venv) $ deactivate $ Docker ImageĪ Docker image is a read-only template that describes how to create a Docker container. Exit our virtual environment since we no longer need it by typing deactivate and Return. It should contain Django as well as the packages asgiref and sqlparse which are automatically included when Django is installed. The last step before switching over to Docker is creating a requirements.txt file with the contents of our current virtual environment. You may need to refresh the page but should see the familiar Django welcome page. (.venv) $ python manage.py migrate (.venv) $ python manage.py runserverĬonfirm everything worked by navigating to in your web browser.
(.venv) $ django-admin startproject django_project. Normally I don't recommend running migrate on new projects until after a custom user model has been configured but in this tutorial, we will ignore that advice. Next, we can create a new project called django_project, migrate our database to initialize it, and use runserver to start the local server. venv /bin /activate (.venv) $ python3 -m pip install django venv\Scripts\Activate.ps1 (.venv) $ python -m pip install django # macOS $ python3 -m venv. venv $ Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser $. We will follow the standard steps for creating a new Django project: make a dedicated virtual environment, activate it, and install Django.
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# Windows $ cd onedrive\desktop $ mkdir django -docker # macOS $ cd ~/desktop /code $ mkdir django -docker On the command line navigate to the desktop and create a new directory called django-docker. The code for this project can live anywhere on your computer but the Desktop is an easy location for teaching purposes. We can then proceed to configure a local Django set-up and then switch over to Docker.
Docker is now properly installed on your computer.