Adds model validator to ensure consistent renaming

RAT/classlist.py

@@ -217,6 +217,22 @@ def get_names(self) -> list[str]:
         """
         return [getattr(model, self.name_field) for model in self.data if hasattr(model, self.name_field)]
 
+    def get_all_matches(self, value: Any) -> list[tuple]:
+        """Return a list of all (index, field) tuples where the value of the field is equal to the given value.
+
+        Parameters
+        ----------
+        value : str
+            The value we are searching for in the ClassList.
+
+        Returns
+        -------
+         : list [tuple]
+            A list of (index, field) tuples matching the given value.
+        """
+        return [(index, field) for index, element in enumerate(self.data) for field in vars(element)
+                if getattr(element, field) == value]
+
     def _validate_name_field(self, input_args: dict[str, Any]) -> None:
         """Raise a ValueError if the name_field attribute is passed as an object parameter, and its value is already
         used within the ClassList.

RAT/project.py

@@ -1,5 +1,7 @@
 """The project module. Defines and stores all the input data required for reflectivity calculations in RAT."""
 
+import collections
+import contextlib
 import copy
 import functools
 import numpy as np
@@ -46,7 +48,7 @@ class Geometries(StrEnum):
                       'custom_files': 'CustomFile',
                       'data': 'Data',
                       'layers': 'Layer',
-                      'contrasts': 'Contrast'
+                      'contrasts': 'Contrast',
                       }
 
 values_defined_in = {'backgrounds.value_1': 'background_parameters',
@@ -70,6 +72,23 @@ class Geometries(StrEnum):
                      'contrasts.resolution': 'resolutions',
                      }
 
+AllFields = collections.namedtuple('AllFields', ['attribute', 'fields'])
+model_names_used_in = {'background_parameters': AllFields('backgrounds', ['value_1', 'value_2', 'value_3', 'value_4',
+                                                                          'value_5']),
+                       'resolution_parameters': AllFields('resolutions', ['value_1', 'value_2', 'value_3', 'value_4',
+                                                                          'value_5']),
+                       'parameters': AllFields('layers', ['thickness', 'SLD', 'roughness']),
+                       'data': AllFields('contrasts', ['data']),
+                       'backgrounds': AllFields('contrasts', ['background']),
+                       'bulk_in': AllFields('contrasts', ['nba']),
+                       'bulk_out': AllFields('contrasts', ['nbs']),
+                       'scalefactors': AllFields('contrasts', ['scalefactor']),
+                       'resolutions': AllFields('contrasts', ['resolution']),
+                       }
+
+class_lists = ['parameters', 'bulk_in', 'bulk_out', 'qz_shifts', 'scalefactors', 'background_parameters', 'backgrounds',
+               'resolution_parameters', 'resolutions', 'custom_files', 'data', 'layers', 'contrasts']
+
 
 class Project(BaseModel, validate_assignment=True, extra='forbid', arbitrary_types_allowed=True):
     """Defines the input data for a reflectivity calculation in RAT.
@@ -120,6 +139,8 @@ class Project(BaseModel, validate_assignment=True, extra='forbid', arbitrary_typ
     layers: ClassList = ClassList()
     contrasts: ClassList = ClassList()
 
+    _all_names: dict
+
     @field_validator('parameters', 'bulk_in', 'bulk_out', 'qz_shifts', 'scalefactors', 'background_parameters',
                      'backgrounds', 'resolution_parameters', 'resolutions', 'custom_files', 'data', 'layers',
                      'contrasts')
@@ -133,8 +154,8 @@ def check_class(cls, value: ClassList, info: FieldValidationInfo) -> ClassList:
         return value
 
     def model_post_init(self, __context: Any) -> None:
-        """Initialises the class in the ClassLists for empty data fields, sets protected parameters, and wraps
-        ClassList routines to control revalidation.
+        """Initialises the class in the ClassLists for empty data fields, sets protected parameters, gets names of all
+        defined parameters and wraps ClassList routines to control revalidation.
         """
         for field_name, model in model_in_classlist.items():
             field = getattr(self, field_name)
@@ -145,17 +166,33 @@ def model_post_init(self, __context: Any) -> None:
                                                                 fit=True, prior_type=RAT.models.Priors.Uniform, mu=0,
                                                                 sigma=np.inf))
 
+        self._all_names = self.get_all_names()
+
         # Wrap ClassList routines - when any of these routines are called, the wrapper will force revalidation of the
         # model, handle errors and reset previous values if necessary.
-        class_lists = ['parameters', 'bulk_in', 'bulk_out', 'qz_shifts', 'scalefactors', 'background_parameters',
-                       'backgrounds', 'resolution_parameters', 'resolutions', 'custom_files', 'data', 'layers',
-                       'contrasts']
         methods_to_wrap = ['_setitem', '_delitem', '_iadd', 'append', 'insert', 'pop', 'remove', 'clear', 'extend']
         for class_list in class_lists:
             attribute = getattr(self, class_list)
             for methodName in methods_to_wrap:
                 setattr(attribute, methodName, self._classlist_wrapper(attribute, getattr(attribute, methodName)))
 
+    @model_validator(mode='after')
+    def update_renamed_models(self) -> 'Project':
+        """When models defined in the ClassLists are renamed, we need to update that name elsewhere in the project."""
+        for class_list in class_lists:
+            old_names = self._all_names[class_list]
+            new_names = getattr(self, class_list).get_names()
+            if len(old_names) == len(new_names):
+                name_diff = [(old, new) for (old, new) in zip(old_names, new_names) if old != new]
+                for (old_name, new_name) in name_diff:
+                    with contextlib.suppress(KeyError):
+                        model_names_list = getattr(self, model_names_used_in[class_list].attribute)
+                        all_matches = model_names_list.get_all_matches(old_name)
+                        for (index, field) in all_matches:
+                            setattr(model_names_list[index], field, new_name)
+        self._all_names = self.get_all_names()
+        return self
+
     @model_validator(mode='after')
     def cross_check_model_values(self) -> 'Project':
         """Certain model fields should contain values defined elsewhere in the project."""
@@ -185,6 +222,10 @@ def __repr__(self):
                     output += value.value + '\n\n'
         return output
 
+    def get_all_names(self):
+        """Record the names of all models defined in the project."""
+        return {class_list: getattr(self, class_list).get_names() for class_list in class_lists}
+
     def check_allowed_values(self, attribute: str, field_list: list[str], allowed_values: list[str]) -> None:
         """Check the values of the given fields in the given model are in the supplied list of allowed values.
 

tests/test_classlist.py

@@ -476,6 +476,17 @@ def test_get_names(class_list: 'ClassList', expected_names: list[str]) -> None:
     assert class_list.get_names() == expected_names
 
 
+@pytest.mark.parametrize(["class_list", "expected_matches"], [
+    (ClassList([InputAttributes(name='Alice'), InputAttributes(name='Bob')]), [(0, 'name')]),
+    (ClassList([InputAttributes(name='Alice'), InputAttributes(name='Bob', id='Alice')]), [(0, 'name'), (1, 'id')]),
+    (ClassList([InputAttributes(surname='Morgan'), InputAttributes(surname='Terwilliger')]), []),
+    (ClassList(InputAttributes()), []),
+])
+def test_get_all_matches(class_list: 'ClassList', expected_matches: list[tuple]) -> None:
+    """We should get a list of (index, field) tuples matching the given value in the ClassList."""
+    assert class_list.get_all_matches("Alice") == expected_matches
+
+
 @pytest.mark.parametrize("input_dict", [
     ({'name': 'Eve'}),
     ({'surname': 'Polastri'}),