After years of copy-pasting and modifying Obelisk client implementations all over, we've had enough of hearing "construct additional obelisks". Thus, we have decided to build the one client to rule them all.
This project is licensed according to the LICENSE file included with the source. You should have received a copy alongside the code bundle, otherwise you can get it for the most recent version here.
Take your pick of asynchronous or sync, import the relevant Producer or Consumer and go crazy. There is explicitly minimal documentation on actual filter values, read the Obelisk docs for that. Documentation for the Python API can be found here.
Please never copy the repo into your own project,
rather use pip install obelisk-py.
Obelisk-py provides first class support for retry behaviours.
These are defined in strategies/retry.py,
we provide NoRetryStrategy, ImmediateRetryStrategy,
and ExponentialBackoffRetryStrategy.
These do exactly what it says on the tin,
when provided in the constructor of your producer, consumer or client,
they will cause the client to retry requests according to the strategy
whenever the response status is not in the 2XX range.
The default strategy is no retry, we do recommend setting at least some form of retry as the token validity behaviour sometimes encounters edge cases.
The library has an async and blocking edition.
The async edition is contained in the module asynchronous
due to async being a reserved keyword and invalid package name,
synchronous can be found in sync.
The sync edition is simply a wrapper around asynchronous,
maintaining an own event loop.
All constructors take an optional kind argument,
set this to the appropriate variety for you.
There is no special handling for HFS userId / patientId fields as those are never
directly touched by the library.
The only exception is that Datapoint has explicit support for userId
and allows extra fields to provide naive support for other field names.
uv is used to manage this project.
Tests can be run using uv run pytest, building and deployment are handled by uv build and uv publish.
Documentation uses the classic sphinx setup, with numpydoc for their lovely layouts and conventions.
Building is as follows:
# uv run sphinx-build -M html docs/source/ docs/build/Base implementation originally by Pieter Moens Pieter.Moens@ugent.be, modified by Kyana Bosschaerts Kyana.Bosschaerts@ugent.be and finally consolidated by Stef Pletinck Stef.Pletinck@ugent.be.