On Sat, Jan 8, 2022, 10:04 PM Nicholas Car <
nicholas....@surroundaustralia.com> wrote:

> *> Are there e.g. Jupyter notebooks with executable snippets demonstrating
> use of at least every store?*
>
> Not that I'm aware of, but some Jupyter demos would be useful!
>
> I've used Jupyter to demo aspects of RDFlib previously for university
> students (https://github.com/nicholascar/comp7230-training) and I know
> others have done similar things.
>
> We might consider a stand-alone documentation repo in the RDFlib GitHub
> organization with Jupyter examples?
>

- [ ] choose a project url and name

  - rdflib/notebooks
    - pypi:notebooks is no good
  - rdflib/rdflib_notebooks
  - rdflib/rdflibnotebooks
  - rdflib/TBD  # ~ RDF bnodes

- [ ] generate an rdflib/TBD org project from the/a GitHub project template?
  - [ ] create an rdflib/ project template

(To be clear, I'm often only good for *suggesting* tasks.)

- [ ] DOC,BLD,ENH: Create a Jupyter Book folder and configuration for
RDFlib demo/testing/store_benchmark notebooks
  `jupyter-book create TBD/`
  https://jupyterbook.org/start/create.html

  - [ ] DOC,ENH: can and shouldn't the sphinx-apidocs for rdflib.* -- maybe
even gh:rdflib/* --  be included in a Jupyter-Book (Sphinx) JAMstack static
HTML website, just like they are in the rdflib docs (Sphinx)?

- [ ] BLD: Configure the repo for CI
  - [ ] GitHub Actions / Drone
    - Comprehensive RDFlib Store benchmarks (in notebooks) could cause a
prohibitively slow build; which may be justified given the expected
contribution frequency for this project


> *> Which RDFlib tests/ directory should be the most comprehensive
> reference of what does and doesn't work with a {given RDFlib store,  SPARQL
> endpoint, }?*
>
> We've slowly started to improve the Store documentation with, for example,
> a beter listing of multiple stores at
> https://rdflib.readthedocs.io/en/stable/plugin_stores.html but I agree
> that the documentation is disjointed, for example, there is no link to that
> Store listing page from the Persistence page (
> https://rdflib.readthedocs.io/en/stable/persistence.html).
>

- [ ] DOC: Distill store test guidelines for QA and performance purposes
  - `ls store_*/tests?/* | basename | sort -u`
  - [ ] TST,ENH,PERF: rdflib/rdflib:  ITestRDFlibStore,
ITestSPARQLendpoint;

   - [ ] DOC,ANN,REQ: @RDFlib/store_maintainers/*: add an e.g.
tests/test_store_performance.py for e.g. the rdflib/rdflib_notebooks
Jupyter Book benchmarks and better

  - re: benchmarks and python [web] app performance:
  - https://github.com/tiangolo/fastapi#optional-dependencies
    - https://github.com/bentoml/BentoML#ml-frameworks
    - In context to this existing (Python) fast open source webapp for
hosting trained ML models, is RDFlib like an ML framework for *predictive*
inferencing?


- [ ] DOC,ENH: One or more [nbgrader-able]  notebooks; for +training
@online +selfpaced

  - https://jupyterhub-deploy-teaching.readthedocs.io/en/latest/  describes
how to host a jupyterhub for everyone, so they can run your notebooks *AND*
which other code on your costed resources.

- [ ] BLD,ENH: generate a Jupyter Lite (WASM) build that includes rdflib,
store plugins, and a recent build of JupyterLab


https://github.com/jupyterlite/jupyterlite#%EF%B8%8F-build-your-own-jupyterlite-%EF%B8%8F



> I think we should:
>
>    - try and improve the documentation of Stores
>    - perhaps prepend all store examples with store_, so we should have:
>       - store_berkeleydb.py (not berkeleydb_example.py)
>       - store_starqlstore.py (not sparqlstore_example.py)
>    - grow the number of store examples
>       - HDT
>       - SQLAlchemy
>       - LevelDB
>       - SPARQL ReadWrite
>
> Good plan.

What are some good DRY ways to include actual test cases from tests/ as
rdflib API usage demos in Jupyter notebooks?

- IPython / Jupyter magics:
  - %pdoc
  - %pfile
  - %psource

https://ipython.readthedocs.io/en/stable/interactive/magics.html#magic-psource

- fastai/nbdev is another way to be DRY (Don't Repeat Yourself) about tests
and notebook demo examples with output and docs.
  https://nbdev.fast.ai/#Features-of-Nbdev :

  > Automatically generate docs from Jupyter notebooks. These docs are
searchable and automatically hyperlinked to appropriate documentation pages
by introspecting keywords you surround in backticks


- Copy/paste and adapt from ~ demo examples in tests/
  - Copying and pasting is forking; and who will continue to merge RDFlib
api changes back to the docs notebooks when the CI tests of the demo
notebooks (`jupyter-book build`) fail due to Exceptions caused by justified
breaking refactorings?


>
> On Sun, Jan 9, 2022 at 2:58 AM Wes Turner <wes.tur...@gmail.com> wrote:
>
>> Are there e.g. Jupyter notebooks with executable snippets demonstrating
>> use of at least every store?
>> (Jupyter-book wraps Sphinx to generate docs from  {.rst, .md, and .ipynb
>> (with output cells)})
>>
>> Which RDFlib tests/ directory should be the most comprehensive reference
>> of what does and doesn't work with a {given RDFlib store,  SPARQL endpoint,
>> }?
>>
>> On Sat, Jan 8, 2022, 2:53 AM Nicholas Car <
>> nicholas....@surroundaustralia.com> wrote:
>>
>>> > With RDFLIB, how transparent is the access,
>>>
>>> There are several ways to use Neptune with RDFlib, for example as a
>>> back-end Store which is perhaps the most obvious/likely, but you could also
>>> be using SPARQLWrapper [1] and sending SPARQL queries to Neptune that way
>>> and just using RDFlib to parse RDF responses.
>>>
>>> > Are you doing updates?
>>>
>>> Store back-ends and SPARQLWrapper should allow for updates, both by
>>> using SPARQL's UPDATE query.
>>>
>>> > Using transactions?
>>>
>>> RDFLib's SPARQLStore back-end supports transactions.
>>>
>>> > How is the performance? Is there a performance of feature "hit" for
>>> going through RDFLIB?
>>>
>>> I've used RDFlib with Neptune but only to test things out and not enough
>>> to make sensible comment on this. I guess also I'd need to know performance
>>> as compared with what? Just lodging SPARQL queries in the Neptune native
>>> system perhaps?
>>>
>>> [1] https://github.com/RDFLib/sparqlwrapper/
>>>
>>> Cheers,
>>>
>>> Nick
>>>
>>> On Sat, Jan 8, 2022 at 1:49 PM Jim Amsden <jimams...@gmail.com> wrote:
>>>
>>>> Cory,
>>>> I’ve made extensive use of the Python rdflib and have developed OSLC
>>>> interfaces to do data science and analytics on jazz.net data. I found
>>>> it full featured and easy to use. I have done many updates with it.
>>>>
>>>> On Jan 7, 2022, at 5:50 PM, Cory Casanave <cor...@modeldriven.com>
>>>> wrote:
>>>>
>>>> We are interested in experience using AWS Neptune from Python with or
>>>> without RDFLIB.
>>>>
>>>> With RDFLIB, how transparent is the access, e.g. can all of the
>>>> functions be used or only query? Are you doing updates? Using transactions?
>>>> How is the performance? Is there a performance of feature "hit" for going
>>>> through RDFLIB?
>>>>
>>>> Without RDFLIB, what are you using to access Neptune? Same questions as
>>>> above.
>>>>
>>>> Please feel free to add any pointers or context.
>>>> Thanks in advance for any thoughts!
>>>>
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