Dockerizing a Python Flask App with MongoDB: Building a Full-Stack App

Last Updated : 28 Nov, 2023

In this article, we are going to build a stack Flask application with the database MongoDB and then we will Dockerize that Flask app with Mongo DB. As it is a Dockerized Full stack application it can run without any system environment setup. In this case, we are going to build a Student's Information Web application, this app can view student information from MongoDB and also can take input of student information using the HTML form to store it in MongoDB database.

Primary Terminologies

Flask: It is REST API Micro Services Web Framework used for the development of web applications in Python programming language.
MongoDB: MongoDB is a NoSQL database that can store data in JSON (JavaScript Object Notation) format.
pymongo: It is a Python library that allows Python web applications to perform CRUD (Create Read Update Delete) operations on MongoDB's databases.
Full Stack Web Application: The Web application is fully responsive and contains a Front-end (Browser side) and Back-end (server side) is called as Full Stack Web Application.
Dockerization: Packing the Dependencies of Application into the single or multiple containers. so, that the application can run without dependence on the system Environment.

System Requirements

Operating System: Linux(ubuntu)/Windows.
Languages: Python (pymongo, Flask), HTML, yaml.
Softwares: Docker, Vscode.

Step by Step Process

1. Build Full Stack Web Application

Now we are going to build Student's Information Full Stack Web application. For that create the directories:

Student_information:

├── templates

├── index.html

├── app.py

app.py:

Python

from flask import Flask, request, render_template, redirect, url_for
from pymongo import MongoClient

app = Flask(__name__)

# MongoDB connection setup
client = MongoClient(host='test_mongodb', port=27017,
                     username='root', password='pass', authSource="admin")
db = client.mytododb
students_collection = db.students


@app.route('/')
def home():
    students = students_collection.find()
    return render_template('index.html', students=students)


@app.route('/add_student', methods=['POST'])
def add_student():
    if request.method == 'POST':
        student_data = {
            'name': request.form['name'],
            'roll_number': request.form['roll_number'],
            'grade': request.form['grade']
        }
        students_collection.insert_one(student_data)
    return redirect(url_for('home'))


if __name__ == '__main__':
    app.run(host='0.0.0.0', debug=True)

inside template folder index.html:

HTML

<!DOCTYPE html>
<html>
<head>
    <title>Student Information</title>
</head>
<body>
    <h1>Student Information</h1>
    <form method="POST" action="/add_student">
        <label for="name">Name:</label>
        <input type="text" name="name" required>
        <br>
        <label for="roll_number">Roll Number:</label>
        <input type="text" name="roll_number" required>
        <br>
        <label for="grade">Grade:</label>
        <input type="text" name="grade" required>
        <br>
        <button type="submit">Add Student</button>
    </form>
    <br>
    <h2>Students:</h2>
    <ul>
        {% for student in students %}
            <li>{{ student.name }} (Roll Number: {{ student.roll_number }}, Grade: {{ student.grade }})</li>
        {% endfor %}
    </ul>
</body>
</html>

now we have successfully build Python Flask App with MongoDB.

2.Dockerization of Web App

create Dockerfile, docker-compose.yml and requirements.txt inside the Student_information folder and the folder Structure look like this:

Student_information:

├── templates

├── index.html

├── app.py

├── Dockerfile

├──docker-compose.yml

├──requirements.txt

Folder Structure in VsCode will looks like this:

Dockerfile

FROM python:3.6
ADD . /app
WORKDIR /app

RUN pip install -r requirements.txt

docker-compose.yml:

web:
  build: .
  command: python -u app.py
  ports:
    - "5000:5000"
  volumes:
    - .:/app
  links:
    - db
db:
  image: mongo:latest
  hostname: test_mongodb
  environment:
    - MONGO_INITDB_DATABASE=Student_db
    - MONGO_INITDB_ROOT_USERNAME=root
    - MONGO_INITDB_ROOT_PASSWORD=pass
  ports:
    - 27017:27017

requirements.txt

pymongo

flask

3. Build Docker Containers

Enter the following command in the terminal to build and run the docker containers.

docker-compose up --build

If you are getting following error while building docker image by running the command docker-compose up --build:

ERROR: for f34991c8d0bc_student_info_db_1 Cannot start service db: driver failed programming external connectivity on endpoint student_info_db_1 (4a25c142988bf13040049dd935f93873fdb8cffe814d9c8f575072aa3885 3465): Error starting userland proxy: listen tcp4 0.0.0.0:27017: bind: address already in use.ERROR: for db Cannot start service db: driver failed programming external connectivity on endpoint student_info_db_1 (4a25c142980bf13040849dd935f93873fdb8cffe814d9c8f575872aa38853465): Error starting userla nd proxy: listen tcp4 0.0.0.0:27017: bind: address already in use ERROR: Encountered errors while bringing up the project.

error

Then change the port number from 27017 to 27018 in the docker-compose.yml:

ports:

- 27018:27017

This error will get resolved.

4. Run Web Application on Browser

Go to Flask server URL: http://172.17.0.3:5000/ this URL is not same for every system. It changes according to system's IP address and port number where Flask application is running.

Test the Web application:

All set, our Dockerized Full Stack Flask Web application with Database MongoDB is up and running.

yogeshpoul9999

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Article Tags :

Dockerizing a Python Flask App with MongoDB: Building a Full-Stack App

Primary Terminologies

System Requirements

Step by Step Process

1. Build Full Stack Web Application

2.Dockerization of Web App

Dockerfile

requirements.txt

3. Build Docker Containers

4. Run Web Application on Browser

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Continuous Integration (CI) & Continuous Deployment (CD)

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Orchestration

Infrastructure as Code (IaC)

Monitoring and Logging

Security in DevOps

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