Skip to main content

Python bindings for using the RDF graph database Tentris RDF rdflib

Project description

Running Tentris Using Python

Note: Connecting to local/remote Tentris instances via HTTP is supported on all plattforms. Running Tentris within python is only supported on Linux.

Getting Started

The Tentris Python library is a plugin for rdflib.

Native (Linux only)

With the native TentrisStore, Tentris is embedded in Python applications.

import tentris
import rdflib

# Create an RDFLib graph using Tentris as its backend
graph = rdflib.Graph(store="Tentris")

# Load the graph using the SPARQL Update operation `LOAD`
# https://www.w3.org/TR/2013/REC-sparql11-update-20130321/#load 
graph.update("LOAD <https://files.tentris.io/mona-lisa.ttl>")

# Query the Mona Lisa knowledge graph
query_str = """
   PREFIX foaf: <http://xmlns.com/foaf/0.1/>
   PREFIX dbr: <http://dbpedia.org/resource/>
   PREFIX dbo: <http://dbpedia.org/ontology/>

   SELECT ?name WHERE {
      dbr:Mona_Lisa dbo:author ?person .
      ?person foaf:name ?name .
   }
"""

for binding in graph.query(query_str):
    print(f"{binding.name.n3()}")

The TentrisStore operates in-memory and does not persist data in the disk. To use a disk-based instance of Tentris, the HTTP-based store should be used.

HTTP (Any Operating System)

Remote or local instances of Tentris can be queries using the HTTP-based TentrisHTTPStore.

Local

Assuming a Tentris server is running on the localhost listening to the default port, it can be queried as shown in the example below.

import tentris
import rdflib

graph = rdflib.Graph(store="TentrisHTTP")

for binding in graph.query("SELECT * WHERE { ?s ?p ?o } LIMIT 10"):
    print(f"{binding.s.n3()} {binding.p.n3()} {binding.o.n3()}")

Remote

To query remote instances of Tentris, the URL needs to be explicitly stated.

from tentris import TentrisHTTPStore
import rdflib

graph = rdflib.Graph(store=TentrisHTTPStore("https://dbpedia.data.dice-research.org"))

for binding in graph.query("SELECT * WHERE { ?s ?p ?o } LIMIT 10"):
    print(f"{binding.s.n3()} {binding.p.n3()} {binding.o.n3()}")

For more information about setting up a disk-based instance of Tentris, please refer to the chapter Binary.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

tentris-0.19.6b0-py3-none-any.whl (10.7 kB view details)

Uploaded Python 3

tentris-0.19.6b0-cp312-abi3-manylinux_2_34_x86_64.whl (10.4 MB view details)

Uploaded CPython 3.12+manylinux: glibc 2.34+ x86-64

File details

Details for the file tentris-0.19.6b0-py3-none-any.whl.

File metadata

  • Download URL: tentris-0.19.6b0-py3-none-any.whl
  • Upload date:
  • Size: 10.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for tentris-0.19.6b0-py3-none-any.whl
Algorithm Hash digest
SHA256 ec11c3e65902e408bbb940014310d251dfd41042790908554c700e35c3440f4c
MD5 fbdb97fd040f8b40ce3c33a4ca404769
BLAKE2b-256 985c8ef33307f9cf8dcd291d063bcdab0f285ab7bf3aeac2227733949626e539

See more details on using hashes here.

File details

Details for the file tentris-0.19.6b0-cp312-abi3-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for tentris-0.19.6b0-cp312-abi3-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 e9d87222942017a2a4658526324f0d9cb5d8534bf66e39745b9d4186e207bfcb
MD5 a79b9aa7450a591f80aa1e407407dbc2
BLAKE2b-256 dec81a6c3424c1e55246d98bca5c017f12faf262c67706948cab4a9eca4d9fd1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page