Azure Functions with PostgreSQL (Python)

Repository Overview

This repository showcases a project integrating Azure Functions with a PostgreSQL database using Python. It provides a suite of API endpoints to manage a list of people, demonstrating the deployment and execution of serverless functions with database connectivity on Azure.

Prerequisites

To successfully run this project, ensure you have the following:

• Knowledge of basic API concepts
• An active Azure subscription
• Azure CLI version 2.4 or later
• Docker
• Azure Functions Core Tools
• Azure Functions extension for VS Code
• Python 3 (preferably 3.11.xx)

Environment Configuration

You will need the following configuration files:

• .env in the project root for Docker
• .env in the frontend folder
• local.settings.json in the api folder for Azure Functions

Sample configuration files are included in the repository.

Setup Instructions

Follow these steps to set up and run the project:

1. Clone the Repository

   git clone <repository_url>
   cd <repository_folder>

2. Start the PostgreSQL Database

   In the project root, execute:

   docker-compose up

   Customize the database credentials in the docker-compose.yml file or directly via the .env file.

   For Linux users:

   Create a pgdata directory in the project root:

   mkdir pgdata

   Change the permissions and set the user and group of the pgdata directory to 1001:

   sudo chown -R 1001:1001 pgdata

3. Set Up Azure Functions

   Create a Python virtual environment in the project root and activate it:

   python3 -m venv ./venv
   source ./venv/bin/activate

4. Install Python Dependencies

   From the project root, run:

   python3 -m pip install -r requirements.txt

5. Deploy and Run Azure Functions

   For the initial setup, deploy the functions to Azure by following these steps:

   • Press Fn + F5 to deploy the functions, or run the following command in the terminal:

     func start

   • Follow the prompts to configure and debug the functions locally.

6. Access the Application

   Open a browser and navigate to http://localhost:7071/api/hello to see the message "Hello, World!".

API Endpoints

The following API endpoints are available:

• add_people: [GET] http://localhost:7071/api/add_people
• add_test_user: [GET] http://localhost:7071/api/add_test_user
• delete_people: [DELETE] http://localhost:7071/api/drop_people
• get_people: [GET] http://localhost:7071/api/people
• hello: [GET, POST] http://localhost:7071/api/hello
• validate_user: [POST] http://localhost:7071/api/validate_user
• add_user: [POST] http://localhost:7071/api/add_user

Testing and Usage

• Use Postman or another API testing tool to test the endpoints.
• Send a [POST] request with your name to the /api/hello endpoint to verify functionality.
• Use the "Populate Data" button to insert five people's sample data into the database.
• Use the "Delete Data" button to remove the data.
• Use the "View Data" button to view the data.

Testing with Postman

A Postman collection is available for testing the API endpoints:

Postman Collection

This guide outlines the steps to clone the repository, set up the PostgreSQL database, configure Azure Functions, and access the API endpoints for testing and usage.