https://github.com/devopsinsiders/pytodobackendmonolith

🐍 PyTodoBackendMonolith 💼repository serves as the backbone for the Todo application's backend, written in Python, embracing a monolithic architecture. It orchestrates data storage, executes business logic, and exposes unified API endpoints to the frontend. With a singular focus, it encapsulates the entire backend functionality,
https://github.com/devopsinsiders/pytodobackendmonolith

api monolithic python todoapp

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🐍 PyTodoBackendMonolith 💼repository serves as the backbone for the Todo application's backend, written in Python, embracing a monolithic architecture. It orchestrates data storage, executes business logic, and exposes unified API endpoints to the frontend. With a singular focus, it encapsulates the entire backend functionality,

• Host: GitHub
• URL: https://github.com/devopsinsiders/pytodobackendmonolith
• Owner: devopsinsiders
• Created: 2023-11-04T20:14:12.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-06-30T09:13:01.000Z (4 months ago)
• Last Synced: 2024-07-01T21:11:19.948Z (4 months ago)
• Topics: api, monolithic, python, todoapp
• Language: Python
• Homepage: https://devopsinsiders.com
• Size: 25.4 KB
• Stars: 4
• Watchers: 2
• Forks: 11
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md

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README

        
# Running the Python Application on Azure VM

This guide will walk you through the process running a Python application using FastAPI, which interacts with a Microsoft SQL Server database using PyODBC.

## Prerequisites

Before getting started, make sure you have the following prerequisites installed on your system:

-  source_image_reference = {

      publisher = "Canonical"

      offer     = "0001-com-ubuntu-server-focal"

      sku       = "20_04-lts"

      version   = "latest"

    }

- Python

- pip

## Step 1: Clone the Repository

Clone the application's source code from your version control system or download it as a zip archive and extract it to your local machine.

```bash

git clone 

cd 

```

## Step 2: Update Connection String

Edit the `app.py` file to update the `connection_string` variable with the appropriate connection details for your SQL Server database. Update ODBC Version to 17

## Step 3: Run Below Commands to make the application running

To Run the Application, open a terminal, navigate to the project directory, and run the following command:

```bash

sudo su

apt-get update && apt-get install -y unixodbc unixodbc-dev

curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add -

curl https://packages.microsoft.com/config/debian/10/prod.list > /etc/apt/sources.list.d/mssql-release.list

apt-get update

ACCEPT_EULA=Y apt-get install -y msodbcsql17

pip install -r requirements.txt

uvicorn app:app --host 0.0.0.0 --port 8000

```

## Step 4: Access the Application

Your Python application is now running. You can access it by opening a web browser or sending HTTP requests to `http://localhost:8000` or by using VM's Public IP.

## API Endpoints

- `/api/tasks`: List all tasks (GET)

- `/api/tasks/{task_id}`: Retrieve a single task by ID (GET)

- `/api/tasks`: Create a new task (POST)

- `/api/tasks/{task_id}`: Update an existing task by ID (PUT)

- `/api/tasks/{task_id}`: Delete a task by ID (DELETE)

## Conclusion

You've successfully run a Python application. Feel free to make changes to the application and deploy it to your preferred environment.