microservice-python-flask-sqlite

We will build a Python Flask Rest CRUD API for a Todo Task Application in that:

• Each Todo Task has id, title, description, creation date, due date, status and comments.
• APIs help to Create, Read, Update, Delete Todo Tasks.

Below mentioned are the REST APIs for CRUD Operations.

Description	CRUD Operation	HTTP Method	REST API Endpoint
Create New Todo Task	CREATE	POST	/todo-app/tasks/
Fetch All Todo Tasks	READ	GET	/todo-app/tasks/
Fetch One Todo Task	READ	GET	/todo-app/tasks/{id}
Update One Specific Todo Task	UPDATE	PUT	/todo-app/tasks/
Delete One Specific Todo Task	DELETE	DELETE	/todo-app/tasks/{id}
Delete All Todo Task	DELETE	DELETE	/todo-app/tasks/

Python Flask Framework will serve as back-end server and I will be using Relational Database known as SQLite Database, for persisting(storing) the data.

Requirements

Install Python

Install latest version for your platform from here. Select the latest version of Python 3 and download the Windows Installer. Click on the downloaded .exe and follow the on-screen instructions to complete the download.

Integrated Development Environment (IDE) for Code Development

You can use any Text Editor or IDE of your choice. I will be using the Visual Studio Code.

If you wish to use the Visual Studio Code, download the latest version from here. Click on the downloaded .exe and complete the installation.

Install the Python Extension for the VS Code

Install the Python extension for VS Code from the Visual Studio Marketplace.

1. You can browse and install extensions from within VS Code. Bring up the Extensions view by clicking on the Extensions icon in the Activity Bar on the side of VS Code or the View: Extensions command (Ctrl+Shift+X).
2. Browse for Python and click on Install button.

Running the application locally

Run this Python application on your local machine by following below steps:

git clone https://github.com/prasbhat/microservice-python-flask-sqlite.git
cd microservice-python-flask-sqlite
py -3 -m venv .venv
.venv\Scripts\activate
flask run --port 8080

More detailed documentation regarding this project can be found here.