python-django-api-template

Overview

The python-django-api-template serves as the boilerplate for constructing a Django project. 🐐 🐐 🐐

Requirements

• Python 3.12.6
• Django 5.1.1
• Django REST Framework

Install and run locally from a virtual environment

After cloning the repository, you'll want to create a virtual environment to ensure a clean Python installation.

You can achieve this by executing the following command.

python -m venv env

After this, it is necessary to activate the virtual environment, you can get more information about this here

You can install all the required dependencies by running

pip install -r requirements/dev.txt

Start and Use

Run migration

python manage.py makemigrations
python manage.py migrate

Run server.

python manage.py runserver

Run redis server.

redis-server

Run celery and celery beat.

celery -A django_template worker --beat --scheduler django -l info -E

Run celery flower

celery -A django_template flower

Create users and Tokens

First, we need to create a user so that we can log in.

curl --location --request POST 'http://127.0.0.1:8000/api/v1/auth/register/' \
--header 'Content-Type: application/json' \
--data-raw '{
    "email": "email@gmail.com",
    "username": "username",
    "password": "password"
}'

Once we have created an account, we can utilize those credentials to obtain a token.

First, we need to request a token.

curl --location --request POST 'http://127.0.0.1:8000/api/v1/auth/login/' \
--header 'Content-Type: application/json' \
--data-raw '{
    "username": "username",
    "password": "password"
}'

after that, we get the token

{
    "refresh": "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ0b2tlbl90eXBlIjoicmVmcmVzaCIsImV4cCI6MTYxNjI5MjMyMSwianRpIjoiNGNkODA3YTlkMmMxNDA2NWFhMzNhYzMxOTgyMzhkZTgiLCJ1c2VyX2lkIjozfQ.hP1wPOPvaPo2DYTC9M1AuOSogdRL_mGP30CHsbpf4zA",
    "access": "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ0b2tlbl90eXBlIjoiYWNjZXNzIiwiZXhwIjoxNjE2MjA2MjIxLCJqdGkiOiJjNTNlNThmYjE4N2Q0YWY2YTE5MGNiMzhlNjU5ZmI0NSIsInVzZXJfaWQiOjN9.Csz-SgXoItUbT3RgB3zXhjA2DAv77hpYjqlgEMNAHps"
}

We have obtained two tokens: the access token will be used to authenticate all the requests we need to make, and this access token will expire after some time.

We can use the refresh token to request a new access token when needed.

requesting new access token by refresh token

curl --location --request POST 'http://127.0.0.1:8000/api/v1/auth/token/refresh/' \
--header 'Content-Type: application/json' \
--data-raw '{
    "refresh": "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ0b2tlbl90eXBlIjoiYWNjZXNzIiwiZXhwIjoxNjE2MjA2MjIxLCJqdGkiOiJjNTNlNThmYjE4N2Q0YWY2YTE5MGNiMzhlNjU5ZmI0NSIsInVzZXJfaWQiOjN9.Csz-SgXoItUbT3RgB3zXhjA2DAv77hpYjqlgEMNAHps"
}'

and we will get a new access token

{
    "access": "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ0b2tlbl90eXBlIjoiYWNjZXNzIiwiZXhwIjoxNjE2MjA4Mjk1LCJqdGkiOiI4NGNhZmMzMmFiZDA0MDQ2YjZhMzFhZjJjMmRiNjUyYyIsInVzZXJfaWQiOjJ9.NJrs-sXnghAwcMsIWyCvE2RuGcQ3Hiu5p3vBmLkHSvM"
}

API document

Visit http://127.0.0.1:8000/swagger/ to check API document.

Run unit test

python manage.py test

Generate coverage report

coverage run --source='.' manage.py test
coverage html

Load fixture data

python manage.py loaddata authentication/fixtures/customer.json --app authentication.customer

Run docker

docker compose up

Clean expired token

python manage.py flushexpiredtokens

Database diagram