tentris


Nametentris JSON
Version 0.19.10b0 PyPI version JSON
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SummaryPython bindings for using the RDF graph database Tentris RDF rdflib
upload_time2025-10-10 11:44:41
maintainerNone
docs_urlNone
authorNone
requires_python>=3.12
licenseNone
keywords tentris knowledge graph rdf sparql graph database rdflib semantic web
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            # Running Tentris Using Python

## Requirements

* `Python>=3.12`
* `rdflib>=7`
* `glibc>=2.34` (e.g. ubuntu-22.04 or later)

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

## Install

```shell
pip install tentris
```

or edit your `requirements.txt` as follows.

```txt
# ... your other dependencies
tentris
```

## Getting Started

The Tentris Python library is a plugin for [rdflib](https://rdflib.readthedocs.io/en/7.1.0/gettingstarted.html).

### Native (Linux only)

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

```python
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](#http) 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.

```python
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.

```python
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()}")
```

            

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    "description": "# Running Tentris Using Python\n\n## Requirements\n\n* `Python>=3.12`\n* `rdflib>=7`\n* `glibc>=2.34` (e.g. ubuntu-22.04 or later)\n\n> **Note:** Connecting to local/remote Tentris instances via HTTP is supported on all plattforms.\n> Running Tentris **within** python is only supported on Linux.\n\n## Install\n\n```shell\npip install tentris\n```\n\nor edit your `requirements.txt` as follows.\n\n```txt\n# ... your other dependencies\ntentris\n```\n\n## Getting Started\n\nThe Tentris Python library is a plugin for [rdflib](https://rdflib.readthedocs.io/en/7.1.0/gettingstarted.html).\n\n### Native (Linux only)\n\nWith the native `TentrisStore`, Tentris is embedded in Python applications.\n\n```python\nimport tentris\nimport rdflib\n\n# Create an RDFLib graph using Tentris as its backend\ngraph = rdflib.Graph(store=\"Tentris\")\n\n# Load the graph using the SPARQL Update operation `LOAD`\n# https://www.w3.org/TR/2013/REC-sparql11-update-20130321/#load \ngraph.update(\"LOAD <https://files.tentris.io/mona-lisa.ttl>\")\n\n# Query the Mona Lisa knowledge graph\nquery_str = \"\"\"\n   PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n   PREFIX dbr: <http://dbpedia.org/resource/>\n   PREFIX dbo: <http://dbpedia.org/ontology/>\n\n   SELECT ?name WHERE {\n      dbr:Mona_Lisa dbo:author ?person .\n      ?person foaf:name ?name .\n   }\n\"\"\"\n\nfor binding in graph.query(query_str):\n   print(f\"{binding.name.n3()}\")\n```\n\nThe `TentrisStore` operates in-memory and does not persist data in the disk.\nTo use a disk-based instance of Tentris, the [HTTP-based store](#http) should be used.\n\n### HTTP (Any Operating System)\n\nRemote or local instances of Tentris can be queries using the HTTP-based `TentrisHTTPStore`.\n\n#### Local\n\nAssuming a Tentris server is running on the localhost listening to the default port, it can be queried as shown in the\nexample below.\n\n```python\nimport tentris\nimport rdflib\n\ngraph = rdflib.Graph(store=\"TentrisHTTP\")\n\nfor binding in graph.query(\"SELECT * WHERE { ?s ?p ?o } LIMIT 10\"):\n    print(f\"{binding.s.n3()} {binding.p.n3()} {binding.o.n3()}\")\n```\n\n#### Remote\n\nTo query remote instances of Tentris, the URL needs to be explicitly stated.\n\n```python\nfrom tentris import TentrisHTTPStore\nimport rdflib\n\ngraph = rdflib.Graph(store=TentrisHTTPStore(\"https://dbpedia.data.dice-research.org\"))\n\nfor binding in graph.query(\"SELECT * WHERE { ?s ?p ?o } LIMIT 10\"):\n    print(f\"{binding.s.n3()} {binding.p.n3()} {binding.o.n3()}\")\n```\n",
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