README.md

page_type	languages	products	urlFragment	name	description
sample	azdeveloper python bicep	azure azure-functions	fastapi-on-azure-functions	Using FastAPI Framework with Azure Functions	This is a sample Azure Function app created with the FastAPI framework.

Using FastAPI Framework with Azure Functions

Azure Functions supports WSGI and ASGI-compatible frameworks with HTTP-triggered Python functions. This can be helpful if you are familiar with a particular framework, or if you have existing code you would like to reuse to create the Function app. The following is an example of creating an Azure Function app using FastAPI.

Prerequisites

You can develop and deploy a function app using either Visual Studio Code or the Azure CLI. Make sure you have the required prerequisites for your preferred environment:

• Prerequisites for VS Code
• Prerequisites for Azure CLI

Setup

Clone or download this sample's repository, and open the fastapi-on-azure-functions folder in Visual Studio Code or your preferred editor (if you're using the Azure CLI).

Using FastAPI Framework in an Azure Function App

The code in the sample folder has already been updated to support use of the FastAPI. Let's walk through the changed files.

The requirements.txt file has an additional dependency of the fastapi module:

azure-functions
fastapi

The file host.json includes the a routePrefix key with a value of empty string.

{
  "version": "2.0",
  "extensions": {
    "http": {
        "routePrefix": ""
    }
  }
}

The root folder contains function_app.py which initializes an AsgiFunctionApp using the imported FastAPI app:

import azure.functions as func

from WrapperFunction import app as fastapi_app

app = func.AsgiFunctionApp(app=fastapi_app, http_auth_level=func.AuthLevel.ANONYMOUS)

In the WrapperFunction folder, the __init__.py file defines a FastAPI app in the typical way (no changes needed):

import azure.functions as func

import fastapi

app = fastapi.FastAPI()

@app.get("/sample")
async def index():
    return {
        "info": "Try /hello/Shivani for parameterized route.",
    }


@app.get("/hello/{name}")
async def get_name(name: str):
    return {
        "name": name,
    }

Running the sample

Testing locally

1. Create a Python virtual environment and activate it.

2. Run the command below to install the necessary requirements.

   python -m pip install -r requirements.txt
   

3. If you are using VS Code for development, click the "Run and Debug" button or follow the instructions for running a function locally. Outside of VS Code, follow these instructions for using Core Tools commands directly to run the function locally.

4. Once the function is running, test the function at the local URL displayed in the Terminal panel: =======

Functions:
        http_app_func: [GET,POST,DELETE,HEAD,PATCH,PUT,OPTIONS] http://localhost:7071//{*route}

```log
Functions:
        WrapperFunction: [GET,POST] http://localhost:7071/{*route}
```

Try out URLs corresponding to the handlers in the app, both the simple path and the parameterized path:

```
http://localhost:7071/sample
http://localhost:7071/hello/YourName
```

Deploying to Azure

There are three main ways to deploy this to Azure:

• Deploy with the VS Code Azure Functions extension.
• Deploy with the Azure CLI.
• Deploy with the Azure Developer CLI: After installing the azd tool, run azd up in the root of the project. You can also run azd pipeline config to set up a CI/CD pipeline for deployment.

All approaches will provision a Function App, Storage account (to store the code), and a Log Analytics workspace.

Testing in Azure

After deployment, test these different paths on the deployed URL:

http://<FunctionAppName>.azurewebsites.net/sample
http://<FunctionAppName>.azurewebsites.net/hello/Foo

You can call the URL endpoints using your browser (GET requests) or one one of these HTTP test tools:

• Visual Studio Code with an extension from Visual Studio Marketplace
• PowerShell Invoke-RestMethod
• Microsoft Edge - Network Console tool
• Bruno
• curl

Caution

For scenarios where you have sensitive data, such as credentials, secrets, access tokens, API keys, and other similar information, make sure to use a tool that protects your data with the necessary security features, works offline or locally, doesn't sync your data to the cloud, and doesn't require that you sign in to an online account. This way, you reduce the risk around exposing sensitive data to the public.

Next Steps

Now you have a simple Azure Function App using the FastAPI framework, and you can continue building on it to develop more sophisticated applications.

To learn more about leveraging WSGI and ASGI-compatible frameworks, see Web frameworks.