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This article describes in small details how to transform a python web app project into a deployable docker image. e.g. we will be practicing docker build and run a django web application exposing its port to a docker subnet.

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Containerize A Django Python Project Stepwise

This article describes in small details how to transform your python web app project into a deployable docker image.

Given that we have a django python web app project in development environment; a sample can be found at django web blog source, to deploy using docker container will involve the following steps.

I. Pre-requisites

On Ubuntu 16.04, install docker-ce, git, and python3.7.

In most cases, you could simply run a single command (sudo apt install docker.io). However, a preferable up-to-date docker-ce installation can be done with the following steps. For once, you would have a strackable local repo reference in your environment.

  1. Setup Docker repository

    sudo apt-get update

    sudo apt-get install apt-transport-https ca-certificates curl software-properties-common

    curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -

    sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"

  2. Install Docker CE

    sudo apt-get update

    sudo apt-get install docker-ce

  3. Verify docker installation

    sudo docker run hello-world

  4. Install local GIT

    sudo apt-get update

    sudo apt-get install git

    git config --global user.name "user_name"

    git config --global user.email "email_id"

(Where user_name, email_id are from your GitHub registry. If you don't have them, use local user name, and your email as references with respect to your local git settings only).

  1. Install Python3.7

    sudo add-apt-repository ppa:jonathonf/python-3.7

    sudo apt-get update

    sudo apt-get install python3.7

    python --version

    sudo apt-get install -y build-essential libbz2-dev libssl-dev libreadline-dev libsqlite3-dev tk-dev

    sudo apt-get install -y libpng-dev libfreetype6-dev

  2. Pull source code from GitHub

    mkdir -p ~/devel/django-src

    cd ~/devel/django-src

    git clone https://github.com/hurricanemark/django-web-blog-.git

II. Build From a Base Docker Image

Using a python3:7:latest docker image, we will walk through the mechanic of shaping up only the essential components to run a web application inside a container. We would of course compile the followings into a Dockerfile at a later time. But for the sake of understanding what it takes; Let's approach with small, manual steps.

  1. Working with a docker container

    1.1 Pull base image:

    sudo docker pull python:3.7

    1.2 Create a docker network subnet:

    sudo docker network create --subnet=172.20.0.0/16 webblog_net

    1.3 Run container:

    sudo docker run -it python3:7 "/bin/sh"

    (You should be connected to the running container now at its prompt #)

    1.4 Install neccessary modules to run the web server:

    bash

    python --version

    pip install django

    pip install django-crispy-forms

    pip install Pillow==2.5.0

    pip install pyvim

    mkdir webblogserver


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1.5 Archive the git source code for transfer to the running container:

cd ~/devel/django-src; tar -cvf django_project.tar django_project

1.6 Let's copy the python web application onto the running container:

Using another console, find the twelve digits CONTAIN_ID of python:3.7 and tag it. It my case, it is c18b73e50d08.

sudo docker ps | grep python:3.7
sudo docker cp ./django_project.tar c18b73e50d08:/webblogserver/django_project.tar

1.7 Now, save and tag the current snapshot of the running container:

sudo docker commit -a "Mark Nguyen <[email protected]>" -m "Works-in-progress WebServer" c18b73e50d08 deploy_webblog:v1

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III. Deploy the Docker Image

Since we are deploying to a sandbox, let's skip the production checks and proceed. Now that we committed a snapshot, further build up should be referenced to image named deploy_webblog:v1. e.g. If you exit out of the container, your work will still remain.

2.1 Test run

Let's connect to the saved image and finish it up.

    sudo docker run -d -it deploy_webblog:v1 "/bin/bash"
cd webblogserver; tar -xvf django_project.tar
cd django-project/django-project
python manage.py runserver 

If all is well, we should see the server up and running.

root@b92adca3e8e0:/webblogserver/django-project/django_project# python manage.py runserver
Performing system checks...

System check identified no issues (0 silenced).
September 27, 2018 - 05:46:32
Django version 2.1.1, using settings 'django_project.settings'
Starting development server at http://127.0.0.1:8000/
Quit the server with CONTROL-C.

2.2 Configure for deployment

Important note: Please consult proper delpoyment to production steps. Practicing engineering as close to production as you can should help avoiding surprises.

In order to access the server inside this conainer, we need to configure django for deploy and then expose its port.

cd /webblogserver/django-project/django_project/django_project; 


pyvim settings.py

Change the folowing:

[ALLOWED_HOSTS] = ['172.20.0.2', '192.168.0.17']

(Where 172.20.0.2 belongs to the subnet webblog_net and 192.168.0.17 is the local host's ip address e.g. The web would be accessible via http://172.20.0.2:3333/ and http://192.168.0.17:1111)

Let's run docker commit and save the running container once again.

python manage.py check --deploy

sudo docker commit -m "Works-in-progress source code in place" b92adca3e8e0 deploy_webblog:v3

On your local host, allow port 3333/tcp. This enables your network to access the web app via port 3333 on your host.

sudo ufw allow 3333/tcp
sudo ufw reload

Finally, run the container with exposure to subnet webblog_net and mapped port

sudo docker run -d -p 3333:1111 --name=webblog_app --net webblog_net --ip 172.20.0.2 -it deploy_webblog:v3 

Connect to the container:

sudo docker run -it deploy_webblog:v3 '/bin/bash'

cd webblogserver/django-project/django-project

python manage.py runserver 172.19.0.2:1111

Result in Chrome browser


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This article describes in small details how to transform a python web app project into a deployable docker image. e.g. we will be practicing docker build and run a django web application exposing its port to a docker subnet.

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