hydrus is a set of Python based tools for easier and efficient creation of Hypermedia driven REST-APIs. hydrus utilises the power of Linked Data to create a powerful REST APIs to serve data. hydrus uses the Hydra(W3C) standard for creation and documentation of it's APIs.
- with Docker and docker-compose installed, run
docker-compose up --build
- open the browser at
http://localhost:8080/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:
- A client that can understand Hydra vocabulary and interacts with a Hydra supporting server to basic CRUD operations on data.
- A generic server that can serve required data and metadata(in the form of API documentation) to a client over HTTP.
- A middleware that allows users to use the client to interact with the server using Natural Language which is 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.
Apart from this, there are also various Python packages that hydrus uses. Using python setup.py install
installs all the required dependencies.
NOTE: You'll need to use python3
not python2
. Hydrus does not support python < 3.6
To run a demo for hydrus using the sample API, just do the following:
- Clone hydrus:
git clone https://github.com/HTTP-APIs/hydrus
cd hydrus
- Install a Python virtual environment using:
python3.8 -m venv .venv
or:
virtualenv -p python3.8 .venv
- Install hydrus using:
source .venv/bin/activate
pip install -r requirements.txt
python setup.py install
NOTE: there is an alternative way to install dependencies with poetry
:
pip3 install poetry
poetry install
This is mostly used to check dependencies conflicts among packages and to release to PyPi
.
After installation is successful, to run the server:
hydrus serve
The demo should be up and running on http://localhost:8080/serverapi/
.
For more info, head to the Usage section of the wiki.
- Install git hook:
pre-commit install
- Every time code is committed, automated checks are run using
mypy
andpylint