fmariv / eotdl

Earth Observation Training Datasets

EOTDL

This repository contains de source code of the Earth Observation Training Data Lab (EOTDL). It contains a set of Python libraries, APIs, CLIs and User Interfaces to explore, create, manage and share datasets and Machine Learning models for Earth Observations applications.

Library

The eotdl library contains the main functionality for creating datasets and models.

APIs

Main API

The main API combines the functionality of the eotdl library with cloud storage (databases and object storage) and user management to explore, create, manage and share datasets and models.

Environment variables

In order to run the API, you need to set the following environment variables:

• MONGO_URL: the URL of the MongoDB database
• MONGO_DB_NAME: the name of the MongoDB database
• AUTH0_DOMAIN: the domain of the Auth0 tenant
• AUTH0_CLIENT_ID: the client ID of the Auth0 application
• AUTH0_CLIENT_SECRET: the client secret of the Auth0 application

Running tests

First, start docker

docer-compose up -d

Then, run the tests

docker-compose exec eotdl-api pytest --cov .

During development, you may want to keep test alive with

docker-compose exec eotdl-api ptw

You will need a .env file with the environment variables missing in the docker-compose file.