Django
https://www.djangoproject.com/
Udemy course: Build a Backend REST API with Python Django - Advanced
In this course we build a Recipe REST API
https://www.udemy.com/course/django-python-advanced/
Techologies used in this course: |
API Features: |
Structure of the project: |
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Contents
Docker
Some benefits of using Docker Docker#Why use Docker
Drawbacks of using Docker in this project: (Not sure if these limitations are still in place)
- VSCode will be unable to access interpreter
- More Difficult to use integrated features, such as the Interactive debugger and the Linting tools.
How will be used Docker in this project:
- Define a
Dockerfile
: Contains all the OS level dependencies that our project needs. - Create a Docker Compose configuration
docker-compose.yml
: Tells Docker how to run the images that are created from our Docker file configuration. - Run all commands via Docker Compose. For example:
docker-compose run --rm app sh -c "python manage.py collectstatic"
docker-compose
runs a Docker Compose commandrun
will start a specific container defined in config--rm
removes the containerapp
is the name of the servicesh -c
pass in a shell command
Docker Hub
Docker Hub is a cloud-based registry service that allows developers to store, share, and manage Docker images. It is a central repository of Docker images that can be accessed from anywhere in the world, making it easy to distribute and deploy containerized applications.
Using Docker Hub, you can upload your Docker images to a central repository, making it easy to share them with other developers or deploy them to production environments. Docker Hub also provides a search function that allows you to search for images created by other developers, which can be a useful starting point for building your own Docker images.
Docker Hub supports both automated and manual image builds. With automated builds, you can connect your GitHub (using Docker on GitHub Actions) or Bitbucket repository to Docker Hub and configure it to automatically build and push Docker images whenever you push changes to your code. This can help streamline your CI/CD pipeline and ensure that your Docker images are always up-to-date.
Docker Hub has introduced rate limits:
- 100 pulls/6hr for unauthenticated users (applied for all users)
- 200 pulls/6hr for authenticated users (for free)
- So, we have to Authenticate with Docker Hub: Create an account / Setup credentials / Login before running job.
Docker on GitHub Actions
Docker on GitHub Actions is a feature that allows developers to use Docker containers for building and testing their applications in a continuous integration and delivery (CI/CD) pipeline on GitHub.
With Docker on GitHub Actions, you can define your build and test environments using Dockerfiles and Docker Compose files, and run them in a containerized environment on GitHub's virtual machines. This provides a consistent and reproducible environment for building and testing your applications, regardless of the host operating system or infrastructure.
Docker on GitHub Actions also provides a number of pre-built Docker images and actions that you can use to easily set up your CI/CD pipeline. For example, you can use the "docker/build-push-action" action to build and push Docker images to a container registry, or the "docker-compose" action to run your application in a multi-container environment.
Using Docker on GitHub Actions can help simplify your CI/CD pipeline, improve build times, and reduce the risk of deployment failures due to environmental differences between development and production environments.
Unit Tests and Test-driven development (TDD)
See explanation at https://www.udemy.com/course/django-python-advanced/learn/lecture/32238668#notes
Unit Tests: Code which test code. It's usually done this way:
- You set up some conditions; such as inputs to a function
- Then you run a piece of code
- You check outputs of that code using "assertions"
Test-driven development (TDD)
Setting the development environment
https://www.udemy.com/course/django-python-advanced/learn/lecture/32238710#overview
- Go to https://github.com and create a repository for the project and clone it into your local machine. See GitHub for help:
https://github.com/adeloaleman/django-rest-api-recipe-app
git clone git@github.com:adeloaleman/django-rest-api-recipe-app.git
- Go to DockerHub https://hub.docker.com : login into your account. Then go to
Account settings > Security > New Access Token
:
- Access token description: It's good practice to use the name of your github project repository:
django-rest-api-recipe-app
- Create and copy the Access token.
- This Token will be used by GitHub to get access to you DockerHub account and build the Docker container.
- Access token description: It's good practice to use the name of your github project repository:
- Go to your project's GitHub repository : https://github.com/adeloaleman/django-rest-api-recipe-app >
Settings > Secrets and variables > Actions:
New repository secret
: First we add the user:
- Name:
DOCKERHUB_USER
- Secret: This must be your DockerHub user. In my case (don't remember why is my C.I.):
16407742
- Name:
- Then we click again
New repository secret
to add the token:
- Name:
DOCKERHUB_TOKEN
- Secret: This must be the DockerHub Access token we created at https://hub.docker.com:
***************
- Name:
- This way, GitHub is able to authenticate and gets access to DockerHub to build the Docker container.
requirements.txt
Django>=3.2.4,<3.3 djangorestframework>=3.12.4,<3.13
Dockerfile
--- name: Checks on: [push] jobs: test-lint: name: Test and Lint runs-on: ubuntu-20.04 steps: - name: Login to Docker Hub uses: docker/login-action@v1 with: username: ${{ secrets.DOCKERHUB_USER }} password: ${{ secrets.DOCKERHUB_TOKEN }} - name: Checkout uses: actions/checkout@v2 - name: Test run: docker-compose run --rm app sh -c "python manage.py test" - name: Lint run: docker-compose run --rm app sh -c "flake8"
.dockerignore
# Git .git .gitignore # Docker .docker # Python app/__pycache__/ app/*/__pycache__/ app/*/*/__pycache__/ app/*/*/*/__pycache__/ .env/ .venv/ venv/
- Then we create the app directory insde our project directory
mkdir app
- Then we run:
docker build .
docker-compose.yml
version: "3.9" services: app: build: context: . args: - DEV=true ports: - "8000:8000" volumes: - ./app:/app command: > sh -c "python manage.py runserver 0.0.0.0:8000"
- Then we run in our project directory:
docker-compose build
- ...:
docker-compose run --rm app sh -c "flake8" docker-compose run --rm app sh -c "django-admin startproject app ." docker-compose up