fix(dap): lmfit1d can pass any parameters with kwargs

[wyzula-jan]

Adaptation that LMFIT parameters kwargs can be passed for lmfit1d_service, required for bec-project/bec_widgets#987 ; requested by cSAXS

One can now pass multiple models for more complex fitting such as multiple Gaussians, fit background etc. Check bec-project/bec_widgets#987 where are examples and showcase of high level API in waveform.py

[Copilot]

Pull request overview

This PR enhances the lmfit1d service to accept generic fitting parameters through a flexible kwargs-based API. The main improvement allows users to pass any valid model parameters via a parameters dictionary argument, with automatic validation and filtering of invalid parameter names.

Key Changes:

• Added a new parameters kwarg to the configure method that accepts either dict or lmfit.Parameters objects
• Implemented parameter validation logic that filters out invalid parameters for the selected model
• Enhanced error handling and logging in the fit process with detailed parameter tracking

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 11 comments.

File	Description
bec_server/bec_server/data_processing/lmfit1d_service.py	Core implementation of flexible parameter handling, validation, and filtering logic; added error handling with logging for fit execution
bec_lib/bec_lib/lmfit_serializer.py	Updated deserialize_param_object to handle both dict and Parameter object inputs; changed return type annotation from Parameter to Parameters
bec_server/tests/tests_data_processing/test_lmfit1d_service.py	Added tests for generic parameter passing and validation filtering across different model types (GaussianModel and SineModel)
bec_lib/tests/test_lmfit_serializer.py	Added test case to verify deserialization works with optional "name" field in parameter dictionaries

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[codecov]

Codecov Report

❌ Patch coverage is 73.89381% with 59 lines in your changes missing coverage. Please review.

Files with missing lines	Patch %	Lines
...rver/bec_server/data_processing/lmfit1d_service.py	73.27%	39 Missing and 19 partials ⚠️
bec_lib/bec_lib/lmfit_serializer.py	88.88%	0 Missing and 1 partial ⚠️

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[wakonig]

In general, it looks good to me. I would suggest to refactor the long methods a bit to improve the readability and avoid the deep nesting.