Transform WorkerConfig into integrate2d parameters

[loichuder]

I have a dict with keys that match the WorkerConfig fields (e.g. nbpt_rad, nbpt_azim)

What is the best way to convert it to a dict with keys matching integrate2d parameters (e.g. npt_rad, npt_azim) ? Specifically, the one from the MultiGeometry object.

[kif]

Good point ...
We tried to have AzimuthalIntegrator.integrate2d and MultiGeometry.integrate2d aligned for all the kw-args in common, unfortunately, it is not possible for the the different ranges (which needs to be provided to the constructor for MultiGeometry).

That said, this does not address you needs since one would expect to have MultiGeometryWorker and a MultiGeometryWorkerConfig classes.
Implementing them should take some time ... then only you problem could be addressed. Looks like a long road.

An alternative (short-cut) could be to introspect the mg.integrate2d object to retrieve the list of parameters:

>>> mg.integrate2d.__code__.co_varnames[1::mg.integrate2d.__code__.co_argcount]
('lst_data',
 'npt_rad',
 'npt_azim',
 'correctSolidAngle',
 'lst_variance',
 'error_model',
 'polarization_factor',
 'normalization_factor',
 'lst_mask',
 'lst_flat',
 'method')

and use the different properties exposed from the WorkerConfig-dataclass to provide adapters for this application. This is probably fast and easy to implement.