ENVRI Hub's VRE Library

This is the official ENVRI-Hub Python library, its purpose is to streamline interaction with the ENVRI-Hub APIs, providing a pythonic facade to data and service access.

Quickstart

After installing the package with a quick

pip install envrihub

You can start using the ENVRI-HUB resorces right away through the Hub object:

from envrihub import Hub

hub = Hub()

You can query it to retrieve resources that match your needs:

for res in hub.search_catalogue('bacon'):
    print(res.title)

You can specify free text queries, time boundaries, geographic boundaries, data providers and/or variables you expect in your data. Here is an example of geographical search with a WKT polygon:

geography = 'POLYGON((10.70 48.34,
                28.98 48.34
                28.98 36.17,
                10.70 36.17,
                10.70 48.34))'

for i in hub.search_catalogue(geography = geography):
    print(i.title)

Just type help(hub.seach_catalogue) for the full details.

You can also access a resurce directly if you know its unique identifier in the Catalogue of Services:

res = hub.fetch_from_catalogue('https://doi.org/10.14284/wormswebservice_distRecByVernacular')

Retrieved resources have the following properties:

• title: a human readable title for the resource;
• uid: the resource's identifier in the Catalogue of Services;
• description: a human readable description of the resource;
• metadata: the whole EPOS-DCAT-AP metadata of the resource;
• dao: the data access object that allows you to get the actual data. All DAOs have an access method.

DAO objects are auto-generated according to the resource's metadata and can have additional methods to access data, when in doubt check them out with the help function:

help(res.dao)

If the resource is a Web Service, the DAO object allows to query such a service with all due parameters:

res = hub.fetch_from_catalogue('https://doi.org/10.14284/wormswebservice_distDistByAphiaId')
res.dao.access(id='138228')

Or if the resource is a static file it lets you download it either as a bytes object or directly to your file system.

res = hub.fetch_from_catalogue('file:///software/notebook/1107/Dataset/001/seadatanet88/Distribution/001')
byte_stream = res.dao.access() # bytes object
res.dao.download('path-to.file') # local file download

Digital kleptomaniacs rejoice! This means that with a handful of lines you can now scrape the whole ENVRI-HUB!

for res in hub.search_catalogue():
    if res.is_downloadable():
        res.dao.download(res.id)

for more working examples data access check out the ENVRI-HUB notebooks.

Contributing

To contribute, you have to attend ENVRI-Hub Next's WP14 monthly meetings. For now, if we never saw you, your pull requests will be rejected.

Acknowledgements

This project is funded by the ENVRI-Hub Next project. The project received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101131141.