Building roof detection

Requirements

To deploy this project in your local machine, you need to install Python and Node.js dependencies:

• Go to ./api folder and run pip install -r requirements.txt. You can also create a virtual environment before running this command.
• In the project root, run npm i to install Node.js libraries.

This project has been tested with Python 3.8+ and Node.js 14.18

How to run in a local machine

This project consists on multiple services, as shown in the picture below.

To run in development mode you have to deploy each service individually:

• MongoDB: Download from their website or use their official Docker image. It should use the dafault port, or change the connection uri in ./common/config/local.env
• RabbitMQ: Download from their website or use their official Docker image. It should use the dafault port, or change the connection uri in ./common/config/local.env and ./api/helpers/publisher.py
• Grafana: use their official Docker image.
• Predictions API: run the ./api/app.py file with Python
• Metrics API: run npm run devMetrics in the root folder
• Front server: run npm run devFront in the root folder

How to deploy on GCP cluster

• Get a regional IP address
• Create a GKE cluster
• Download credentials for GKE cluster (limited permissions)
• Setup DNS
• Setup Github secrets: GKE_EMAIL, GKE_KEY, GKE_PROJECT
• Change IP in deploy/ingress/nginx-ingress.yaml loadBalancerIP, or any IP you added in config files
• Update development and production configurations
• (Optional, for development env) Setup test database
• Create certificates and ingress and apply files (or use CI/CD with Github Actions)