Azure Rambi

Welcome to the Azure Rambi project! This repository contains code and resources for managing and deploying the Rambi Application using Azure services.

Table of Contents

• Introduction
• Getting Started
• Installation
• Usage
• Contributing
• License

Introduction

Azure Rambi is a project designed to simplify the management and deployment of Azure resources. It provides a set of tools and scripts to automate common tasks.

Getting Started

To get started with Azure Rambi, follow these steps:

1. Clone the repository:

   git clone https://github.com/bmoussaud/azure-rambi.git

2. Navigate to the project directory:

   cd azure-rambi

Installation

Install the required dependencies by running:

pip install -r requirements.txt

Usage

To use Azure Rambi, execute the following command:

python src/azurerambi/app.py

Azure Resources

AZD

azd auth login
azd up

Warning: the provision phases include an APIM and A Redis Cache that can take a veryyyyyyy loooooong time to become available. Patience !

Azure Infrastructue

The infra/main.bicep

• CognitiveServices
  • Open AI gpt-4
  • Open AI dall-e-3
• Application Service Plan
• Web-App
• API Management

GitHub Credentials

edit the file infra/authenticate_with_Azure_App_Service_for_GitHub.sh with your context and run it to grant a contributor to the resource group and to generate the secrets used by the GitHub action pipeline to deploy the differents components.

• AZURE_CREDENTIALS
• AZURE_SUBSCRIPTION_ID

Front GUI

• Service: Azure Application Service using the python runtime on linux
• CI/CD Pipeline: .github/workflows/main_azure-rambi.yml

API Management

Note: The bicep files come from: https://github.com/microsoft/AzureOpenAI-with-APIM/

TMDB

The OpenAPI json file is available here: https://developer.themoviedb.org/openapi. You'll find the file for v3 and v4 version

Movie Generator Service

The generate_movie method has been moved to a new FastAPI service located in src/movie_generator_svc. This service is configured to run in Azure Container Apps.

Deployment

To deploy the new movie_generator_svc service, follow these steps:

1. Build the Docker image:

   docker build -t movie_generator_svc:latest src/movie_generator_svc

2. Push the Docker image to your container registry:

   docker tag movie_generator_svc:latest <your-container-registry>/movie_generator_svc:latest
   docker push <your-container-registry>/movie_generator_svc:latest

3. Update the Azure Container Apps configuration to use the new image.

Usage

To use the new movie_generator_svc service, make a POST request to the /generate endpoint with the following JSON payload:

{
    "movie1": {
        "title": "Movie 1 Title",
        "plot": "Movie 1 Plot",
        "poster_url": "Movie 1 Poster URL"
    },
    "movie2": {
        "title": "Movie 2 Title",
        "plot": "Movie 2 Plot",
        "poster_url": "Movie 2 Poster URL"
    },
    "genre": "Desired Genre"
}

The service will return a JSON response with the generated movie details.

Contributing

We welcome contributions! Please read our contributing guidelines for more details.

License

This project is licensed under the MIT License. See the LICENSE file for more information.

  - name: Build the image in the Azure Containe Registry
    id: acr
    uses: azure/acr-build@v1
    with:
      service_principal: ${{ secrets.AZURE_SERVICE_PRINCIPAL_ID }}
      service_principal_password: ${{ secrets.AZURE_SERVICE_PRINCIPAL_PASSWORD }}
      tenant: ${{ secrets.AZURE_TENANT_ID }}
      registry: ${{ env.ACR_NAME }}
      repository: azure-rambi
      image: movie_poster_svc
      tag: ${{ github.sha }}
      folder: src/movie_poster_svc
      git_access_token: ${{ secrets.GITHUB_TOKEN }}
      branch: main