trendingtechnology / flask-and-docker-application-demo

Lux Academy & Data Science East Africa Python Boot Camp, Building and Deploying Flask Application Using Docker Demo App.

Flask and Docker Application Demo

A Docker image is a read-only, inert template that comes with instructions for deploying containers. In Docker, everything basically revolves around images.

An image consists of a collection of files (or layers) that pack together all the necessities—such as dependencies, source code, and libraries—needed to set up a completely functional container environment.

A Docker container is a virtualized runtime environment that provides isolation capabilities for separating the execution of applications from the underpinning system. It’s an instance of a Docker image.

Containers are the ultimate utility of the Docker technology—they provide a portable and lightweight environment for deploying applications.

Each container is autonomous and runs in its own isolated environment, ensuring it does not disrupt other running applications or its underlying system. This greatly improves the security of applications.

A Dockerfile is a text document that contains all the commands a user could call on the command line to assemble an image. Using docker build users can create an automated build that executes several command-line instructions in succession.

Docker images are read-only templates used to build containers. Containers are deployed instances created from those templates. Images and containers are closely related, and are essential in powering the Docker software platform.

Follow 👉🏻 this guide to install docker engine locally in your system

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URL With Students Record: https://raw.githubusercontent.com/HarunMbaabu/Flask-and-Docker-Application-Domo/main/students.json

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app.py file:

import requests
from flask import Flask, jsonify

app = Flask(__name__)

api_url = "https://raw.githubusercontent.com/HarunMbaabu/Flask-and-Docker-Application-Domo/main/students.json"

@app.route("/students")
def get_json_data():
    try:
      api_response = requests.get(api_url)
      json_dict = api_response.json()
      return jsonify(json_dict)
    except Exception as e:
      print("Error occured :: %s" % e.message) 


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

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Docker File:

FROM python:3.6

COPY . /src


COPY ./requirements.txt /src/requirements.txt

WORKDIR src

EXPOSE 5000:5000

RUN pip install -r requirements.txt


CMD [ "python", "app.py" ]

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Build docker image called demo:

>>> docker build -t demo .  

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Run docker image called demo:

>>>docker run -p 5000:5000 -t -i demo  

Now in your local browser visit: http://0.0.0.0:5000/students