vO.6.1 Release Notes¶
This release adds new enhancements:
to the Nexus Forge’s SPARQL query rewriting by supporting DISTINCT and Graph clauses when using forge.search()
to Dataset which can now be created from Resource instances
to the BlueBrainNexus store specialization by supporting cross bucket download as well as more configuration options (BlueBrainNexus store’s max_connection when searching and http headers for its endpoint, ElasticSearch and SPARQL views, files upload and download)
Enhancements¶
Added cross bucket download support in Nexus Forge core and in the BlueBrainNexus store specialization. #146, #147 (usage: 04 - Querying notebook on Github or on
)
from kgforge.core import KnowledgeGraphForge
from kgforge.specializations.resources import Dataset
forge = KnowledgeGraphForge("config_filepath_or_url")
dataset = Dataset(forge, name="Interesting dataset")
dataset.add_distribution("path/to/file.jpg", content_type="image/jpeg")
forge.register(dataset)
#Download with the Dataset
dataset.download(dataset, cross_bucket=True)
#Download with forge
forge.download(dataset, cross_bucket=True)
SPARQL query rewriting now supports DISTINCT and Graph clauses when performing forge.search(). #144 (usage: 04 - Querying notebook on Github or on
)
from kgforge.core import KnowledgeGraphForge
from kgforge.specializations.resources import Dataset
forge = KnowledgeGraphForge(configuration="config_filepath_or_url")
filters = {"type":"Dataset"}
# Filter by type using a dictionary and get distinct results looked up within named graphs
distinct_results_filters = forge.search(filters, distinct=True, search_in_graph=True)
Added configuration support (#148) for:
BlueBrainNexus store’s max_connection number when searching
BlueBrainNexus store’s endpoint, ElasticSearch and SPARQL views, files upload and download http headers.
The BlueBrainNexus store’s SPARQL endpoint default http headers are changed to text/plain for Content-Type and application/sparql-results+json for Accept.
Added creation of Dataset instance from Resource instances. #150 (usage: 02 - Datasets notebook on Github or on
)
from kgforge.core import KnowledgeGraphForge
from kgforge.specializations.resources import Dataset, Resource
forge = KnowledgeGraphForge(configuration= "config_filepath_or_url")
resource = Resource(name="Jane Doe", type="Person", email="jane.doe@example.org")
dataset = Dataset.from_resource(forge, resource, store_metadata=True)