This repository is intended to show how to use pagination in Django

• Docker
• Docker-Compose

1. Go to the repository folder (cd <path/to/repository>)

2. Build the files (docker-compose build)

3. Migrate the database (docker-compose run web python manage.py migrate)

4. (Optional) Generate sample users to show how the application works (100, for example)

   docker-compose run web python manage.py generate_fake_data 100

5. start the application. docker-compose up

This application uses pytest for testing. The following things have been tested:

• Address creation / field constraints
• Pagination
• Page range

If you want to execute the tests, you must write:

• docker-compose run web pytest

Although the application works well, the users and passwords are visible inside the code. If you want to deploy the application in the cloud (aws, gcloud, your own vps, etc.) you must use your own passwords. This program facilitates this task by having a command to generate sample users and passwords. You can type make generate-sample-envs to generate sample env files inside .envs folder. Then. you will have the following files with this values:

.envs/.web

SECRET_KEY=secret
DJANGO_SETTINGS_MODULE=config.settings.local

.envs/.db

POSTGRES_USER=sample
POSTGRES_PASSWORD=sample
POSTGRES_DB=sample

It is recommended to change the values and put your own ones, because they are insecure since they are visible

If you want to deploy the application, there is a configuration file called prod.yml with:

• Setup for NGINX server
• Setup for serving static and media files
• Setup for gunicorn server (we are executing the Django application here)

It is needed to perform the following steps to successfully deploy the application:

1. Generate env variables, with make generate-sample-envs
2. Change the variables so we app is more secure
3. Build everything with docker-compose -f prod.yml build
4. Collect static files with docker-compose -f prod.yml run web python manage.py collectstatic, so NGINX server can serve them
5. Start the application with docker-compose -f prod.yml up