Dick,
I am interested in hearing the reasons behind your developers dropping
RDFLib, which I find very convenient for de/serializing RDF but I feel
like it is somewhat brittle and quite obscure in the back end connection
part. I think that your approach to using straight HTTP calls for that
may be a better choice.
Also, thanks for the tip on Thrift. I am not familiar with it but I
would be interested in knowing how your team is building Python bindings
for the Jena API if it is meant to become a public project at some point.
Best,
Stefano
On 12/24/2017 04:33 PM, dandh988 wrote:
We use Python against Jena/Fuseki/CustomHTTP and find direct SPARQL against the endpoint
to be "fast". The Python Devs dropped using the RDFLib.
We also have a Thirft connection in development which is proving useful for low
level Jena API access.
Dick
-------- Original message --------From: Stefano Cossu <[email protected]> Date:
24/12/2017 22:10 (GMT+00:00) To: [email protected] Subject: Python bindings?
Hello,
I am writing a LDP server using Python's RDFlib and Fuseki/TDB as a back
end store.
Right now my application is very slow, I suspect due to the HTTP
overhead: profiling shows a large chunk of time waiting for sockets.
Is there a reliable way to write Python code against the Fuseki Java
API? I understand that Fuseki is written in Java and there are no native
Python bindings. I have looked at options such as Jython, Jpype and
PyJnius but I am wondering how reliable these options are. Any suggestions?
Thanks,
Stefano
--
Stefano Cossu
Director of Application Services, Collections
The Art Institute of Chicago
116 S. Michigan Ave.
Chicago, IL 60603
312-499-4026
