This Python web app is a simple restaurant review application built with the Flask framework. The web app stores application data in PostgreSQL with environment variables defining the connection info.

This repo was created to be built to a Docker image and run as a container instance in Azure Container Apps. For more information, see the tutorial Deploy a Python web app on Azure Container Apps with GitHub Actions.

This Python web app repo can also be used in other ways:

• You can run the web app locally in a virtual environment. Make sure to define .env file with environment settings.

  • In the .env file, fill in a secret value for SECRET_KEY. You can use this command to generate an appropriate value for your product deployment:

  python -c 'import secrets; print(secrets.token_hex())'

• You can create a container locally and run it in Docker locally. You'll need Docker Desktop installed. For this scenario, set REMOTE_POSTGRESQL=1 in .env file to point to a PostgreSQL instance. See the .env.example file for details.

  docker build --file Dockerfile --tag pythoncontainer:latest .
  docker run -it --env-file .env --publish 5000:5000/tcp pythoncontainer:latest

  If you want to use PostgreSQL instance locally, add --add-host to the Docker command. For more information, see the Docker run command. For an example of how to do this with MongoDB, see Build and test a containerized Python web app locally.

• You can deploy the code (not a container) to App Service. For guidance on how to deploy code, see Quickstart: Deploy a Python (Django or Flask) web app to Azure App Service and Overview: Deploy a Python web app to Azure with managed identity.

• You can create a Docker image from this repo and host the container instance in Web Apps for Containers (App Service). See Overview: Containerized Python web app on Azure.

If you need an Azure account, you can create on for free.

A Django sample application with similar functionality is at https://github.com/Azure-Samples/msdocs-python-django-azure-container-apps.

The requirements.txt has the following packages:

The steps to do this are covered more completely in the tutorial Deploy a Python web app on Azure Container Apps with GitHub Actions. Briefly, here are the steps:

1. Fork and then clone locally.
2. Build a container image from the repo.
3. Create a PostgreSQL Flexible Server instance.
4. Create a database on the server.
5. Deploy the web app container to Azure Container Apps.
6. Configure continuous deployment.

See the create_resources.sh Bash script for automating the creation of these steps.