Access Azure App service failed with 403 response

[johnp]

We have an Azure app service written in Django.  From databricks notebook we sent curl command to test the connection between databricks and Azure AppService.  We got the following repsonse:

Error 403 - Forbidden

The web app you have attempted to reach has blocked your access.

How do I setup the the Django web service so Databrick notebook can access it?

[Kaniz_Fatma · Accepted solution]

Hi @johnp, 

Certainly! To set up your Django web service so that Databricks notebooks can access it, follow these steps:

1. Sample Application:

   • You can complete this setup using either Flask or Django. A sample application for each framework is provided to help you follow along.
   • Download or clone the sample application to your local workstation:
     • For Flask: git clone [^1^][6](https://github.com/Azure-Samples/msdocs-python-flask-webapp-quickstart)
     • For Django: git clone [^2^][7](https://github.com/Azure-Samples/msdocs-python-django-webapp-quickstart)
   • To run the application locally:
     • For Flask:
       1. Go to the application folder: cd msdocs-python-flask-webapp-quickstart
       2. Create a virtual environment for the app:
          • Windows: py -m venv .venv && .venv\scripts\activate
          • macOS/Linux: python3 -m venv .venv && source .venv/bin/activate
       3. Install the dependencies: pip install -r requirements.txt
       4. Run the app: flask run
       5. Browse to the sample application at ³(http://localhost:5000) in a web browser.
     • For Django:
       1. Go to the application folder: cd msdocs-python-django-webapp-quickstart
       2. Create a virtual environment for the app:
          • Windows: py -m venv .venv && .venv\scripts\activate
          • macOS/Linux: python3 -m venv .venv && source .venv/bin/activate
       3. Install the dependencies: pip install -r requirements.txt
       4. Run the app: python manage.py runserver
       5. Browse to the sample application at ⁴(http://localhost:8000) in a web browser.

2. Create a Web App in Azure:

   • To host your application in Azure, create an Azure App Service web app:
     • You can use the Azure CLI, VS Code, Azure Tools extension pack, or the Azure portal.
     • Azure CLI commands:
       • Install the Azure CLI if you haven’t already.
       • Log in to Azure using az login.
       • Create the web app and other resources, then deploy your code to Azure using:

         az webapp up --runtime PYTHON:3.9 --sku B1 --logs
         

         (Replace --runtime with the appropriate Python version if needed.)

3. Configure Access:

   • Ensure that your Django app allows access from Databricks by configuring CORS (Cross-Origin Resource Sharing) settings.
   • In your Django app’s settings, add the following middleware:

     MIDDLEWARE = [
         # ...
         'corsheaders.middleware.CorsMiddleware',
         # ...
     ]
     

   • Set the CORS_ALLOW_ALL_ORIGINS setting to True:

     CORS_ALLOW_ALL_ORIGINS = True
     

   • You can also specify specific origins if needed:

     CORS_ALLOWED_ORIGINS = [
         "https://your-databricks-url",
         # Add other allowed origins here
     ]
     

4. Deploy to Azure:

   • Deploy your Django app to Azure using the same steps as mentioned earlier.
   • Once deployed, your Databricks Notebooks should be able to access your Azure App Service.

Remember to replace placeholders like your-databricks-url with the actual URLs relevant to your setup. If you encounter any issues, feel free to ask for further assistance! 🚀🌐