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README-App-Service.md

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Chat With You Data with Java and Azure Open AI - LZA App Accelerator

This is a PoC about automating apps deployment on production ready environment provided by Azure Landing Zones.

In this example we are going to deploy the Azure Open AI Java reference template on top of the App Service LZA using the Azure Developer CLI

Alt text

Getting Started

Deploy the infrastructure

  1. Clone this repo. git clone https://github.com/dantelmomsft/chat-with-your-data-java-lza-app-accelerator.git
  2. Run cd chat-with-your-data-java-lza-app-accelerator/infra/app-service
  3. Run azd auth login to authenticate with your Azure subscription.
  4. Run azd provision to provision the infrastructure. Provide an env name and the deployment region. So far it has been tested with France central. This will take several minutes and will:
    • Download the app service lza code in the folder infra/app-service/bicep/lza-libs.
    • Automatically run the app service lza code.
    • Automatically run the app bicep source code in the folder chat-with-your-data-java-lza-app-accelerator\infra\app-service\bicep\modules. This will create the Azure supporting services (Azure AI Search, Azure Document Intelligence, Azure Storage) required by the app on top of the App Service LZA infrastructure.
    • Automatically create .azure folder with azd env configuration. you should see a folder like this: chat-with-your-data-java-lza-app-accelerator\infra\app-service\.azure

Deploy the Java app

  1. Connect to the jumpbox, open a command prompt and run git clone https://github.com/dantelmomsft/chat-with-your-data-java-lza-app-accelerator.git
  2. Run cd chat-with-your-data-java-lza-app-accelerator
  3. To download the the chat-with-your-data-java source code run:
    • Windows Power Shell - .\scripts\download-app-source.ps1 -branch main
    • Linux/Windows WSL - ./scripts/download-app-source.sh --branch main.
  4. Run cd chat-with-your-data-java-lza-app-accelerator/infra/app-service and copy here the chat-with-your-data-java-lza-app-accelerator\infra\app-service\.azure local folder that has been created on your laptop at the end of Deploy Infrastructure phase.
  5. Run azd auth login
  6. Run azd restore. This is required for this code sample to ingest documents into the Azure AI search index. It will take a couple of minutes.
  7. run azd deploy. This will build and deploy the java app.
  8. From your local browser connect to the azure front door endpoint hostname. Alt text

Known Issues and gaps

  • The jump box installation doesn't properly configure azd and maven. To fix that before running the azd deploy command, be sure to
    • Run the D:\azd\azd-windows-amd64.msi installer
    • Add to the PATH env variable the maven bin folder: C:\Program Files\apache-maven-3.9.5\bin