| Name | spendpoint JSON |
| Version |
0.5.1
JSON |
| download |
| home_page | |
| Summary | SPARQL endpoint for ontologies. |
| upload_time | 2023-10-11 12:20:32 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.9 |
| license | |
| keywords |
spendpoint
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
##########
SpEndPoint
##########
Creates a SPARQL endpoint supporting custom services.
The default access point is at `http://127.0.0.1:8000`.
This endpoint can be configured in the `configuration.toml <data/configuration.toml>`_ file.
The docker image created uses uvicorn the host the application at `0.0.0.0:80`. Feel free to map this to any port of your liking.
Bound services
--------------
We currently support 4 bind services out of the box:
.. code-block::
dtf:outlier
dtf:example
dtf:conversion
dtf:cell
The outlier service relies on `another endpoint <https://msdl.uantwerpen.be/git/lucasalbertins/DTDesign/src/main/tools/typeOperations>`_ which needs to be set up and accessible.
.. code-block:: sparql
PREFIX dtf: <https://ontology.rys.app/dt/function/>
SELECT ?cell ?cell_value WHERE {
SERVICE <http://localhost:8000/> {BIND(dtf:cell("data/example.csv", 0, 0) AS ?cell)}
}
SPARQL query showing bind based cell service call.
URI based services
------------------
A second, more versatile, way to access a service is provided in the form of an URI.
It is possible to query cells by specifying an individual cell in the URI of the service call.
.. code-block:: sparql
SELECT ?s ?p ?o WHERE {
BIND(ENCODE_FOR_URI("http://ua.be/sdo2l/description/artifacts/artifacts#random-artefact") as ?e)
BIND(uri(concat("http://localhost:8000/cell/?iri=", ?e ,"&row=2&column=2&file_name=example.csv")) as ?c)
SERVICE ?c {?s ?p ?o}
}
SPARQL query showing URI based cell service call.
Installation
------------
..
.. code-block:: shell
pip install spendpoint
or
.. code-block:: shell
pip install --index-url https://pip:glpat-m8mNfhxZAUnWvy7rLS1x@git.rys.one/api/v4/projects/262/packages/pypi/simple --no-deps spendpoint
Configuration
-------------
A configuration file at `configuration.toml <data/configuration.toml>`_ holds all user configurable data.
You can set the `host` and `port` the server will listen on.
A more advanced use is to import extra services.
These services need to be defined in the `service.py` file as well.
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"description": "##########\nSpEndPoint\n##########\n\nCreates a SPARQL endpoint supporting custom services.\nThe default access point is at `http://127.0.0.1:8000`.\nThis endpoint can be configured in the `configuration.toml <data/configuration.toml>`_ file.\nThe docker image created uses uvicorn the host the application at `0.0.0.0:80`. Feel free to map this to any port of your liking.\n\nBound services\n--------------\n\nWe currently support 4 bind services out of the box:\n\n.. code-block::\n\n dtf:outlier\n dtf:example\n dtf:conversion\n dtf:cell\n\nThe outlier service relies on `another endpoint <https://msdl.uantwerpen.be/git/lucasalbertins/DTDesign/src/main/tools/typeOperations>`_ which needs to be set up and accessible.\n\n.. code-block:: sparql\n\n PREFIX dtf: <https://ontology.rys.app/dt/function/>\n SELECT ?cell ?cell_value WHERE {\n SERVICE <http://localhost:8000/> {BIND(dtf:cell(\"data/example.csv\", 0, 0) AS ?cell)}\n }\n\nSPARQL query showing bind based cell service call.\n\nURI based services\n------------------\n\nA second, more versatile, way to access a service is provided in the form of an URI.\nIt is possible to query cells by specifying an individual cell in the URI of the service call.\n\n.. code-block:: sparql\n\n SELECT ?s ?p ?o WHERE {\n BIND(ENCODE_FOR_URI(\"http://ua.be/sdo2l/description/artifacts/artifacts#random-artefact\") as ?e)\n BIND(uri(concat(\"http://localhost:8000/cell/?iri=\", ?e ,\"&row=2&column=2&file_name=example.csv\")) as ?c)\n SERVICE ?c {?s ?p ?o}\n }\n\nSPARQL query showing URI based cell service call.\n\nInstallation\n------------\n\n..\n .. code-block:: shell\n\n pip install spendpoint\n\n or\n\n.. code-block:: shell\n\n pip install --index-url https://pip:glpat-m8mNfhxZAUnWvy7rLS1x@git.rys.one/api/v4/projects/262/packages/pypi/simple --no-deps spendpoint\n\nConfiguration\n-------------\n\nA configuration file at `configuration.toml <data/configuration.toml>`_ holds all user configurable data.\nYou can set the `host` and `port` the server will listen on.\nA more advanced use is to import extra services.\nThese services need to be defined in the `service.py` file as well.\n\n",
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