jrecasens / arlo_azure_service

Deploy Arlo Camera Detection on Azure App Service for Linux

Arlo Camera Flask App on Azure

Simple Flask Application in Azure App Service to handle Arlo Camera event storage in Azure SQL Server and Azure Blog Storage.

Prerequisites

The project code utilizes the following library:

• Python v3.8.6
• Flask v2.0.1
• pyaarlo v0.8.0a6
• azure.storage.blob v12.8.1
• pyodbc v4.0.31

Code

This project is based on

https://docs.microsoft.com/en-us/azure/developer/python/tutorial-deploy-app-service-on-linux-01

Deploy Python apps to Azure App Service on Linux from Visual Studio Code

Testing

Before deployment to Azure App Service, creating a virtual enviroment is recommended for a succesful local execution test:

Create Enviroment (named .venv)

python -m venv .venv

Activate enviroment

.venv\scripts\activate

Install dependencies in .venv

pip install -r requirements.txt

Run Flask App

cd C:/Github/arlo_azure_service
$env:FLASK_APP = "execute:app"

Deactivate and Delete (optional)

deactivate
rm -r .venv