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PEARL (Planetary Computer Land Cover Mapping) Platform API and Infrastructure

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<h1 align=center>PEARL API & Infrastructure</h1>

PEARL is a landcover mapping platform that uses human in the loop machine learning approach. This repository contains the API and infrastructure to run the platform. The frontend is maintained at [pearl-frontend](https://github.com/developmentseed/pearl-frontend/).

## Overview

PEARL infrastructure uses Kubernetes to manage resources and provide on-demand GPU support. The following is a high-level architecture. A websocket router manages available GPU/CPU and allocates them to clients.

![pearl backend](https://user-images.githubusercontent.com/371666/154953888-3410f5de-7355-4d9f-ac8a-ca42f9879496.jpg)

This repository contains code for the `api`, `gpu`, `socket` and `tiles` services in the [`services`](services/) directory. Code to deploy all the services and infrastructure on Azure can be found in the [`deployment`](deployment/) directory. We have also included terraform resource definitions in [`deployment/terraform`](deployment/terraform) and a Helm chart in [`deployment/helm`](deployment/helm/). The Helm chart is published separately at https://devseed.com/pearl-helm-chart and instructions for using the helm chart can be found [here](deployment/helm/pearl-helm/README.md).

The machine learning components [are documented here](docs/ml.md).
## Development

Initial development can be bootstrapped by running all of the services via docker-compose

```sh
docker-compose up --build -d
```

This script will ensure that you have a postgres database set up, and will configure and
start all necessary services locally for a fully functional dev environment

## API Documentation

API documentation can be found by opening the following location in your browser `file://<path-to-git-repo>/lulc-infra/api/doc/index.html`

or ideally, once your development environment has been started, API documentation can be found
by navigating to `http://localhost:2000/docs`.

## Deployment and CI

Notes on deploy process and CI integration can be found [here](docs/deploy.md).

You can also `helm` to deploy directly onto a Kubernetes cluster. Instructions can be found [here](deployment/helm/pearl-helm/).

Note: This has currently been tested using AKS on Azure, but should ideally work on any Kubernetes cluster with minimal changes.

## Debugging and Logs

Instructions for accessing the Grafana UI to inspect application logs can be found [here](docs/logs.md)

## LICENSE
[MIT](/LICENSE.md)

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