hydrus is a set of Python-based tools for easier and more efficient creation of Hypermedia driven REST-APIs. hydrus utilises the power of Linked Data to create powerful REST APIs to serve data. hydrus uses the Hydra(W3C) standard for creation and documentation of its APIs.
- with Docker and docker-compose installed, run
docker-compose up --build
- open the browser at
http://localhost:8000/api/vocab
You should be displaying the example API as served by the server.
To serve your own Hydra-RDF documentation file:
- create a
doc.py
file as the ones inexamples/
directory containing your own ApiDoc - set the
APIDOC_REL_PATH
variable indocker-compose.yml
. This should the relative path from the project root - start-up the demo as above.
You should be displaying your API as served by the server.
hydrus supports the following features:
- Be a client that understands Hydra vocabulary and performs basic CRUD operations on data in a Hydra supporting server.
- Be a generic server that provides the required data and metadata (in the form of API documentation) to a client over HTTP.
- Be a middleware that allows users to interact with the server using Natural Language which is a processed machine consumable language. (under development)
The system is built over the following standards and tools:
- Flask, a Python-based micro-framework for handling server requests and responses.
- JSON-LD as the preferred data format.
- Hydra as the API standard.
- SQLAlchemy as the backend database connector for storage and related operations.
Other than this, there are also various Python packages that hydrus uses. Running python setup.py install
installs all the required dependencies.
NOTE: python3
should be used, not python2
.
To run a demo for hydrus using the sample API, do the following:
Clone hydrus:
git clone https://github.com/HTTP-APIs/hydrus
Change directory and switch to the develop branch:
cd hydrus
git checkout -b develop origin/develop
Install hydrus:
pip install .
or
python setup.py install
and run the server:
hydrus serve
The demo should now be running on http://localhost:8080/serverapi/
.