Azure Sample Function App

This project is a sample Azure Function App implemented in Python, demonstrating how to build and deploy an HTTP-triggered function using Azure Functions and Terraform for infrastructure provisioning.

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Project Overview

• Azure Function: A Python HTTP-triggered function named HttpFunction that returns a personalized greeting message. It accepts a name parameter via query string or JSON request body.
• Infrastructure as Code: Terraform scripts to provision the necessary Azure resources including a resource group, storage account, storage containers, and diagnostic storage tables.
• Testing Client: A simple Python script to invoke the Azure Function locally or remotely for testing.

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Prerequisites

• Azure CLI
• Terraform
• Python 3.8 or later
• Azure Functions Core Tools (for local development)
• An Azure subscription

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Setup and Deployment

1. Clone the Repository

git clone <repository-url>
cd azure-sample-function-app

2. Provision Azure Infrastructure

Terraform scripts are located in the root directory.

terraform init
terraform apply

This will create:

• Resource group rg-funcapp-test
• Storage account and containers needed for the Function App
• Storage share and diagnostic tables

3. Install Python Dependencies

Navigate to the src directory and install dependencies:

cd src
pip install -r requirements.txt

4. Run the Function App Locally

Ensure Azure Functions Core Tools is installed. Run the function app:

func start

The function will be available at:

http://localhost:7071/api/HttpFunction

You can test with a query parameter, e.g.:

http://localhost:7071/api/HttpFunction?name=Artem

5. Deploy the Function App to Azure

Follow Azure Functions deployment best practices (not included in this repo). You can use Azure CLI or VS Code Azure Functions extension to deploy.

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Usage

The function responds with a greeting message:

• If name is provided in query string or JSON body, it returns:
  "Hello, {name}. This HTTP triggered function executed successfully."
• Otherwise, it returns a generic success message.

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Testing

The src/test_main.py script acts as a client to test the function locally or remotely.

Usage:

python src/test_main.py -local

This calls the local function endpoint. To test the deployed Azure function, omit the -local flag. Update the URL and function key in the script as needed.

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Project Structure

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├── main.tf               # Terraform main configuration
├── provider.tf           # Terraform provider configuration
├── src/
│   ├── function_app.py   # Azure Function app implementation
│   ├── host.json         # Azure Functions runtime configuration
│   ├── requirements.txt  # Python dependencies
│   └── test_main.py      # Test client script

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Notes

• The Terraform storage account name and resource group are hardcoded and may require modification for uniqueness.
• The function uses Azure Functions Python worker managed by the platform; do not manually manage azure-functions-worker.
• The project uses Azure Functions extension bundle version 4.x.

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License

MIT License (if applicable)