There isn't any other machine learning solution on EOSC so, we pretend to be the centralized solution. With ML it is possible to respond to very different environmental and topical problems and treat large amounts of data in a simple way, giving access to powerful online computing tools that are otherwise difficult to access.
This server was generated by the OpenAPI Generator project. By using the OpenAPI-Spec from a remote server, you can easily generate a server stub. This is an example of building a OpenAPI-enabled aiohttp server.
This example uses the Connexion library on top of aiohttp.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
What things you need to install the software
To run the server, please execute the following from the root directory:
pip3 install -r requirements.txt
python3 -m openapi_serverand open your browser to here:
http://localhost:8080/api/v1/ui/Your OpenAPI definition lives here:
http://localhost:8080/api/v1/openapi.jsonTo launch the integration tests, use pytest:
sudo pip install -r test-requirements.txt
pytestPlease read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
For the versions available, see the tags on this repository.
This project is licensed under the MIT License - see the LICENSE.md file for details
After first generation, add edited files to .openapi-generator-ignore to prevent generator to overwrite them. Typically:
server/controllers/*
test/*
*.txt