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Ousseynou Diop
Ousseynou Diop

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How to build production-ready application with Django and PostgreSQL

#django #posgres #postgres #production

Originally posted on my blog

Introduction

Build basic application everyone can do it but build real world production-ready application require lot of work.

In this guide i will show you how to build production-ready application with Django and Postgresql.

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.

RDBMS is a database management system (DBMS) that is based on the relational model as introduced by E. F. Codd.

PostgreSQL is The World's Most Advanced Open Source Relational Database.

Prerequisites

I assume that you've some basic knowledge of Django and want to know how to make your application production-ready.

Installation

The first step in this guide is to install the pieces we need in order to use postgresql.

The following command will install all packages

sudo apt install python3-pip python3-dev libpq-dev postgresql postgresql-contrib
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I will use pipenv for dependencies management.

This command will install pipenv on your system

pip install --user pipenv
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New Django project

Create a new folder and call it what you want

$ mkdir django_postgres $ cd django_postgres
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Create a virtual environment with pipenv 

$ pipenv shell
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Here is the output of the command

Creating a virtualenv for this project… Using /usr/bin/python3 (3.7.5) to create virtualenv… ⠋Already using interpreter /usr/bin/python3 Using base prefix '/usr' New python executable in /home/username/.local/share/virtualenvs/django_postgres-6CspIPh4/bin/python3 Also creating executable in /home/username/.local/share/virtualenvs/django_postgres-6CspIPh4/bin/python Installing setuptools, pip, wheel... done. Virtualenv location: /home/username/.local/share/virtualenvs/django_postgres-6CspIPh4 Creating a Pipfile for this project… Spawning environment shell (/usr/bin/zsh). Use 'exit' to leave.
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Install Django 

$ pipenv install django
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The output of this command

Installing django… Looking in indexes: https://pypi.python.org/simple Collecting django Using cached Django-3.0.3-py3-none-any.whl (7.5 MB) Collecting asgiref~=3.2 Using cached asgiref-3.2.3-py2.py3-none-any.whl (18 kB) Collecting sqlparse>=0.2.2 Using cached sqlparse-0.3.0-py2.py3-none-any.whl (39 kB) Collecting pytz Using cached pytz-2019.3-py2.py3-none-any.whl (509 kB) Installing collected packages: asgiref, sqlparse, pytz, django Successfully installed asgiref-3.2.3 django-3.0.3 pytz-2019.3 sqlparse-0.3.0 Adding django to Pipfile's [packages]… Pipfile.lock not found, creating… Locking [dev-packages] dependencies… Locking [packages] dependencies… Updated Pipfile.lock (7ff369)! Installing dependencies from Pipfile.lock (7ff369)… 🐍 ▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉ 4/4 — 00:00:00
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Install postgresql driver 

$ pipenv install psycopg2-binary
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The output

Installing psycopg2-binary… Looking in indexes: https://pypi.python.org/simple Collecting psycopg2-binary Using cached psycopg2_binary-2.8.4-cp37-cp37m-manylinux1_x86_64.whl (2.9 MB) Installing collected packages: psycopg2-binary Successfully installed psycopg2-binary-2.8.4 Adding psycopg2-binary to Pipfile's [packages]… Pipfile.lock (7ff369) out of date, updating to (c90257)… Locking [dev-packages] dependencies… Locking [packages] dependencies… Updated Pipfile.lock (c90257)! Installing dependencies from Pipfile.lock (c90257)… 🐍 ▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉ 5/5 — 00:00:01
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Create a new Django project

The following command will create a new django project for us

$ django-admin startproject prodapplication
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Go to settings.py you will see a database configuration like this

# Database # https://docs.djangoproject.com/en/3.0/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } }
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SQlite is the default database for any Django project it help us to quickly prototyping a new idea.

Postgres Database & User Setup

Now logged into the postgresql shell

$ sudo -u postgres psql
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Create a database 

CREATE DATABASE datbase_name;
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Create user 

CREATE USER <username> WITH PASSWORD <password>;
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Set default encoding, transaction isolation scheme (Recommended from Django) 

ALTER ROLE <username> SET client_encoding TO 'utf8'; ALTER ROLE <username> SET default_transaction_isolation TO 'read committed'; ALTER ROLE <username> SET timezone TO 'UTC';
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Give User access to database 

GRANT ALL PRIVILEGES ON DATABASE <datbase_name> TO <username>;
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Quit out the shell 

\q
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Manage dependencies

You can use Pipfile if you use pipenv or create a requirements.txt file and put your dependencies on it.

Ready to go

We've everything installed, now it’s time to do some production stuff.

Create a new file

I create a new file and called it local_settings.py, we will put all the production settings on this file.

Here is our folder structure

. ├── Pipfile ├── Pipfile.lock └── prodapplication ├── manage.py └── prodapplication ├── asgi.py ├── __init__.py ├── local_settings.py ├── settings.py ├── urls.py └── wsgi.py
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Change Debug mode to False 

DEBUG = False
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Change allowed host 

ALLOWED_HOSTS = ['Your ip', 'www.domain.com', 'domain.com']
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Change The secret key

I use this tool to generate a Django secret key

SECRET_KEY = <your new secret key>
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Change the default database 

DATABASES = { 'default': { 'ENGINE': 'django.db.backends.postgresql_psycopg2', 'HOST': 'localhost', 'NAME': '<database_name>', 'USER': '<username>', 'PASSWORD': '<password>', 'PORT': '5432', } }
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Configure your mail server 

# Email config EMAIL_BACKEND = 'django.core.mail.backends.smtp.EmailBackend' EMAIL_HOST = '<your smtp server>' EMAIL_PORT = 587 EMAIL_HOST_USER = 'username' EMAIL_HOST_PASSWORD = 'password' EMAIL_USE_TLS = True
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Import the new configuration

Put the following code in your settings.py

try: from .local_settings import * except ImportError: pass
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Test your new application

Run the following command

$ python manage.py migrate $ python manage.py runserver
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Conclusion

Performance is very important if it come to the real word application and you must optimise your application and configure it in a way that perform well.
One of the key is to use a production-ready Database, like postgresql.

In this guide you've learned how to write a production Django application.

Thanks for reading.

Top comments (2)

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onlinejudge95 profile image
onlinejudge95 •

Not what I would call a production-ready setting. You are using psycopg2-binary in production, rather you should build psycopg2 from source and avoid using any binaries to go in production.

psycopg.org/docs/install.html#bina...

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xarala221 profile image
Ousseynou Diop •

Thank you for your thought, this adds real value to the article.