♻️ Refactor tf coil structure

[chris-ashe]

This pull request is focussed around creating new classes for the the different kinds of TF coil configurations and have seperate callable instances of those models.

There is now a TFCoil class that holds the generic methods that all types of TF coils. Most of the TF coil calculations were split between sctfcoil.py and tfcoil.py with not much structure or care. With even some resistive calculations being in the superconducting file....

A new resisitive_tf_coil.py file exists with a new ResisitiveTFCoil(TFCoil) class that inherits from TFCoil the same is true for SuperconductingTFCoil(TFCoil).

It is hoped for future PR's that the different run methods can be used with super() and the output seperated from the functions. This will be done in other PR's to prevent this one becoming too large.

• process/caller.py: Added conditional execution of the resistive toroidal field coil model based on i_tf_sup variable and added a call to portsz method from the build model.

Class name updates for consistency:

• process/main.py: Updated imports to use ResistiveTFCoil and SuperconductingTFCoil instead of Sctfcoil and TFcoil.
• process/main.py: Updated the __init__ method to initialize ResistiveTFCoil and SuperconductingTFCoil instances.
• tests/unit/test_vacuum.py: Updated the docstring to reflect the new class name TFCoil.## Description

Checklist

I confirm that I have completed the following checks:

• My changes follow the PROCESS style guide
• I have justified any large differences in the regression tests caused by this pull request in the comments.
• I have added new tests where appropriate for the changes I have made.
• If I have had to change any existing unit or integration tests, I have justified this change in the pull request comments.
• If I have made documentation changes, I have checked they render correctly.
• I have added documentation for my change, if appropriate.

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 34.61538% with 119 lines in your changes missing coverage. Please review.

Project coverage is 31.01%. Comparing base (0bef5e6) to head (ef57263).
Report is 120 commits behind head on main.

Files with missing lines	Patch %	Lines
process/resistive_tf_coil.py	34.91%	110 Missing ⚠️
process/caller.py	0.00%	3 Missing ⚠️
process/main.py	50.00%	3 Missing ⚠️
process/output.py	0.00%	2 Missing ⚠️
process/io/plot_proc.py	50.00%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #3606      +/-   ##
==========================================
- Coverage   31.05%   31.01%   -0.05%     
==========================================
  Files          86       87       +1     
  Lines       20350    20412      +62     
==========================================
+ Hits         6319     6330      +11     
- Misses      14031    14082      +51     

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[Copilot]

Pull Request Overview

• This PR refactors the TF coil structure to improve naming consistency and separate the implementation of superconducting and resistive models.
• Key changes include updating class names and imports in main.py, modifying model invocations in caller.py, and adjusting test documentation accordingly.

Reviewed Changes

Copilot reviewed 9 out of 9 changed files in this pull request and generated no comments.

File	Description
tests/unit/test_vacuum.py	Updated fixture parameter docstring to use standardized "TFCoil" capitalization.
process/main.py	Renamed and updated TF coil classes and added the resistive TF coil instantiation.
process/caller.py	Modified TF coil model calls to conditionally run the resistive model and update output.

Comments suppressed due to low confidence (2)

tests/unit/test_vacuum.py:29

• [nitpick] Ensure consistent naming for TF coil objects across the code by using 'TFCoil' uniformly, as reflected in this diff.

:param tfcoil: fixture containing an initialised `TFCoil` object

process/caller.py:267

• Potential double invocation of tfcoil.run() when ft.tfcoil_variables.i_tf_sup equals 1; clarify whether the call with output=False and the subsequent call are both intended.

self.models.tfcoil.run(output=False)

[Copilot]

Pull Request Overview

This pull request refactors the TF coil structure by introducing distinct classes for resistive and superconducting configurations, consolidating related methods under the new TFCoil hierarchy.

• Refactored imports and class initializations in process/main.py
• Updated conditional logic for executing resistive and superconducting TF coil models in process/output.py and process/caller.py
• Modified test documentation and plotting utilities to reflect the updated class names

Reviewed Changes

Copilot reviewed 13 out of 13 changed files in this pull request and generated no comments.

Show a summary per file

File	Description
tests/unit/test_vacuum.py	Updated docstring to reflect the new TFCoil class naming
process/output.py	Condition now selects the resistive model when appropriate
process/main.py	Updated imports and instance creation for the new TF coil classes
process/io/plot_proc.py	Changed constant used in plotting to reference superconducting types
process/caller.py	Adjusted model calls to conform with the refactored TF coil structure

Comments suppressed due to low confidence (2)

process/main.py:661

• [nitpick] Consider renaming 'sctfcoil' to 'superconducting_tf_coil' for improved clarity and consistency with the updated class naming.

self.sctfcoil = SuperconductingTFCoil()

process/output.py:68

• The branch for the superconducting TF coil does not call an output or run method. If an output action is expected for superconducting coils similar to the resistive branch, please add the appropriate method call.

if ft.tfcoil_variables.i_tf_sup == 1: