Refactors "set_fields" routine with custom context manager

Author: DrPaulSharp

RATapi/classlist.py

@@ -4,6 +4,7 @@
 
 import collections
 import contextlib
+import importlib
 import warnings
 from collections.abc import Sequence
 from typing import Any, Generic, TypeVar, Union
@@ -261,9 +262,64 @@ def extend(self, other: Sequence[T]) -> None:
     def set_fields(self, index: int, **kwargs) -> None:
         """Assign the values of an existing object's attributes using keyword arguments."""
         self._validate_name_field(kwargs)
-        class_handle = self.data[index].__class__
-        new_fields = {**self.data[index].__dict__, **kwargs}
-        self.data[index] = class_handle(**new_fields)
+        pydantic_object = False
+
+        if importlib.util.find_spec("pydantic"):
+            # Pydantic is installed, so set up a context manager that will
+            # suppress validation errors until all fields have been set.
+            from pydantic import BaseModel, ValidationError
+
+            if isinstance(self.data[index], BaseModel):
+                pydantic_object = True
+
+            # Define a custom context manager
+            class SuppressCustomValidation(contextlib.AbstractContextManager):
+                """Context manager to suppress "value_error" based validation errors in pydantic.
+
+                This validation context is necessary because errors can occur whilst individual
+                model values are set, which are resolved when all of the input values are set.
+
+                After the exception is suppressed, execution proceeds with the next
+                statement following the with statement.
+
+                     with SuppressCustomValidation():
+                         setattr(self.data[index], key, value)
+                     # Execution still resumes here if the attribute cannot be set
+                """
+
+                def __init__(self):
+                    pass
+
+                def __enter__(self):
+                    pass
+
+                def __exit__(self, exctype, excinst, exctb):
+                    # If the return of __exit__ is True or truthy, the exception is suppressed.
+                    # Otherwise, the default behaviour of raising the exception applies.
+                    #
+                    # To suppress errors arising from field and model validators in pydantic,
+                    # we will examine the validation errors raised. If all of the errors
+                    # listed in the exception have the type "value_error", this indicates
+                    # they have arisen from field or model validators and will be suppressed.
+                    # Otherwise, they will be raised.
+                    if exctype is None:
+                        return
+                    if issubclass(exctype, ValidationError) and all(
+                        [error["type"] == "value_error" for error in excinst.errors()]
+                    ):
+                        return True
+                    return False
+
+            validation_context = SuppressCustomValidation()
+        else:
+            validation_context = contextlib.nullcontext()
+
+        for key, value in kwargs.items():
+            with validation_context:
+                setattr(self.data[index], key, value)
+
+        if pydantic_object:
+            self._class_handle.model_validate(self.data[index])
 
     def get_names(self) -> list[str]:
         """Return a list of the values of the name_field attribute of each class object in the list.

pyproject.toml

@@ -12,7 +12,7 @@ extend-exclude = ["*.ipynb"]
 
 [tool.ruff.lint]
 select = ["E", "F", "UP", "B", "SIM", "I"]
-ignore = ["SIM108"]
+ignore = ["SIM103", "SIM108"]
 
 [tool.ruff.lint.flake8-pytest-style]
 fixture-parentheses = false

tests/test_classlist.py

@@ -1005,3 +1005,25 @@ class NestedModel(pydantic.BaseModel):
         for submodel, exp_dict in zip(model.submodels, submodels_list):
             for key, value in exp_dict.items():
                 assert getattr(submodel, key) == value
+
+    def test_set_pydantic_fields(self):
+        """Test that intermediate validation errors for pydantic models are suppressed when using "set_fields"."""
+        from pydantic import BaseModel, model_validator
+
+        class MinMaxModel(BaseModel):
+            min: float
+            value: float
+            max: float
+
+            @model_validator(mode="after")
+            def check_value_in_range(self) -> "MinMaxModel":
+                if self.value < self.min or self.value > self.max:
+                    raise ValueError(
+                        f"value {self.value} is not within the defined range: {self.min} <= value <= {self.max}"
+                    )
+                return self
+
+        model_list = ClassList([MinMaxModel(min=1, value=2, max=5)])
+        model_list.set_fields(0, min=3, value=4)
+
+        assert model_list == ClassList([MinMaxModel(min=3.0, value=4.0, max=5.0)])