[BUG] Fixed LPL Refactorer

src/ecooptimizer/refactorers/concrete/long_parameter_list.py

@@ -260,53 +260,195 @@ def update_parameter_usages(
     ):
         """
         Updates the function body to use encapsulated parameter objects.
+        This method transforms parameter references in the function body to use new data_params
+        and config_params objects.
+
+        Args:
+            function_node: CST node of the function to transform
+            classified_params: Dictionary mapping parameter groups ('data_params' or 'config_params')
+                            to lists of parameter names in each group
+
+        Returns:
+            The transformed function node with updated parameter usages
         """
+        # Create a module with just the function to get metadata
+        module = cst.Module(body=[function_node])
+        wrapper = MetadataWrapper(module)
 
         class ParameterUsageTransformer(cst.CSTTransformer):
-            def __init__(self, classified_params: dict[str, list[str]]):
-                self.param_to_group = {}
+            """
+            A CST transformer that updates parameter references to use the new parameter objects.
+            """
 
+            METADATA_DEPENDENCIES = (ParentNodeProvider,)
+
+            def __init__(
+                self, classified_params: dict[str, list[str]], metadata_wrapper: MetadataWrapper
+            ):
+                super().__init__()
+                # map each parameter to its group (data_params or config_params)
+                self.param_to_group = {}
+                self.parent_provider = metadata_wrapper.resolve(ParentNodeProvider)
                 # flatten classified_params to map each param to its group (dataParams or configParams)
                 for group, params in classified_params.items():
                     for param in params:
                         self.param_to_group[param] = group
 
-            def leave_Assign(
-                self,
-                original_node: cst.Assign,  # noqa: ARG002
-                updated_node: cst.Assign,
-            ) -> cst.Assign:
+            def is_in_assignment_target(self, node: cst.CSTNode) -> bool:
                 """
-                Transform only right-hand side references to parameters that need to be updated.
-                Ensure left-hand side (self attributes) remain unchanged.
+                Check if a node is part of an assignment target (left side of =).
+
+                Args:
+                    node: The CST node to check
+
+                Returns:
+                    True if the node is part of an assignment target that should not be transformed,
+                    False otherwise
+                """
+                current = node
+                while current:
+                    parent = self.parent_provider.get(current)
+
+                    # if we're at an AssignTarget, check if it's a simple Name assignment
+                    if isinstance(parent, cst.AssignTarget):
+                        if isinstance(current, cst.Name):
+                            # allow transformation for simple parameter assignments
+                            return False
+                        return True
+
+                    if isinstance(parent, cst.Assign):
+                        # if we reach an Assign node, check if we came from the targets
+                        for target in parent.targets:
+                            if target.target.deep_equals(current):
+                                if isinstance(current, cst.Name):
+                                    # allow transformation for simple parameter assignments
+                                    return False
+                                return True
+                        return False
+
+                    if isinstance(parent, cst.Module):
+                        return False
+
+                    current = parent
+                return False
+
+            def leave_Name(
+                self, original_node: cst.Name, updated_node: cst.Name
+            ) -> cst.BaseExpression:
                 """
-                if not isinstance(updated_node.value, cst.Name):
+                Transform standalone parameter references.
+
+                Skip transformation if:
+                1. The name is part of an attribute access (eg: self.param)
+                2. The name is part of a complex assignment target (eg: self.x = y)
+
+                Transform if:
+                1. The name is a simple parameter being assigned (eg: param1 = value)
+                2. The name is used as a value (eg: x = param1)
+
+                Args:
+                    original_node: The original Name node
+                    updated_node: The current state of the Name node
+
+                Returns:
+                    The transformed node or the original if no transformation is needed
+                """
+                # dont't transform if this is part of a complex assignment target
+                if self.is_in_assignment_target(original_node):
                     return updated_node
 
-                var_name = updated_node.value.value
+                # dont't transform if this is part of an attribute access (e.g., self.param)
+                parent = self.parent_provider.get(original_node)
+                if isinstance(parent, cst.Attribute) and original_node is parent.attr:
+                    return updated_node
 
-                if var_name in self.param_to_group:
-                    new_value = cst.Attribute(
-                        value=cst.Name(self.param_to_group[var_name]), attr=cst.Name(var_name)
+                name_value = updated_node.value
+                if name_value in self.param_to_group:
+                    # transform the name into an attribute access on the appropriate parameter object
+                    return cst.Attribute(
+                        value=cst.Name(self.param_to_group[name_value]), attr=cst.Name(name_value)
+                    )
+                return updated_node
+
+            def leave_Attribute(
+                self, original_node: cst.Attribute, updated_node: cst.Attribute
+            ) -> cst.BaseExpression:
+                """
+                Handle method calls and attribute access on parameters.
+                This method handles several cases:
+
+                1. Assignment targets (eg: self.x = y)
+                2. Simple attribute access (eg: self.x or report.x)
+                3. Nested attribute access (eg: data_params.user_id)
+                4. Subscript access (eg: self.settings["timezone"])
+                5. Parameter attribute access (eg: username.strip())
+
+                Args:
+                    original_node: The original Attribute node
+                    updated_node: The current state of the Attribute node
+
+                Returns:
+                    The transformed node or the original if no transformation is needed
+                """
+                # don't transform if this is part of an assignment target
+                if self.is_in_assignment_target(original_node):
+                    # if this is a simple attribute access (eg: self.x or report.x), don't transform it
+                    if isinstance(updated_node.value, cst.Name) and updated_node.value.value in {
+                        "self",
+                        "report",
+                    }:
+                        return original_node
+                    return updated_node
+
+                # if this is a nested attribute access (eg: data_params.user_id), don't transform it further
+                if (
+                    isinstance(updated_node.value, cst.Attribute)
+                    and isinstance(updated_node.value.value, cst.Name)
+                    and updated_node.value.value.value in {"data_params", "config_params"}
+                ):
+                    return updated_node
+
+                # if this is a simple attribute access (eg: self.x or report.x), don't transform it
+                if isinstance(updated_node.value, cst.Name) and updated_node.value.value in {
+                    "self",
+                    "report",
+                }:
+                    # check if this is part of a subscript target (eg: self.settings["timezone"])
+                    parent = self.parent_provider.get(original_node)
+                    if isinstance(parent, cst.Subscript):
+                        return original_node
+                    # check if this is part of a subscript value
+                    if isinstance(parent, cst.SubscriptElement):
+                        return original_node
+                    return original_node
+
+                # if the attribute's value is a parameter name, update it to use the encapsulated parameter object
+                if (
+                    isinstance(updated_node.value, cst.Name)
+                    and updated_node.value.value in self.param_to_group
+                ):
+                    param_name = updated_node.value.value
+                    return cst.Attribute(
+                        value=cst.Name(self.param_to_group[param_name]), attr=updated_node.attr
                     )
-                    return updated_node.with_changes(value=new_value)
 
                 return updated_node
 
-        # wrap CST node in a MetadataWrapper to enable metadata analysis
-        transformer = ParameterUsageTransformer(classified_params)
-        return function_node.visit(transformer)
+        # create transformer with metadata wrapper
+        transformer = ParameterUsageTransformer(classified_params, wrapper)
+        # transform the function body
+        updated_module = module.visit(transformer)
+        # return the transformed function
+        return updated_module.body[0]
 
     @staticmethod
     def get_enclosing_class_name(
-        tree: cst.Module,  # noqa: ARG004
         init_node: cst.FunctionDef,
         parent_metadata: Mapping[cst.CSTNode, cst.CSTNode],
     ) -> Optional[str]:
         """
         Finds the class name enclosing the given __init__ function node.
         """
-        # wrapper = MetadataWrapper(tree)
         current_node = init_node
         while current_node in parent_metadata:
             parent = parent_metadata[current_node]
@@ -324,15 +466,7 @@ def update_function_calls(
         classified_param_names: tuple[str, str],
         enclosing_class_name: str,
     ) -> cst.Module:
-        """
-        Updates all calls to a given function in the provided CST tree to reflect new encapsulated parameters
-        :param tree: CST tree of the code.
-        :param function_node: CST node of the function to update calls for.
-        :param params: A dictionary containing 'data' and 'config' parameters.
-        :return: The updated CST tree
-        """
         param_to_group = {}
-
         for group_name, params in zip(classified_param_names, classified_params.values()):
             for param in params:
                 param_to_group[param] = group_name
@@ -341,6 +475,15 @@ def update_function_calls(
         if function_name == "__init__":
             function_name = enclosing_class_name
 
+        # Get all parameter names from the function definition
+        all_param_names = [p.name.value for p in function_node.params.params]
+        # Find where variadic args start (if any)
+        variadic_start = len(all_param_names)
+        for i, param in enumerate(function_node.params.params):
+            if param.star == "*" or param.star == "**":
+                variadic_start = i
+                break
+
         class FunctionCallTransformer(cst.CSTTransformer):
             def leave_Call(self, original_node: cst.Call, updated_node: cst.Call) -> cst.Call:  # noqa: ARG002
                 """Transforms function calls to use grouped parameters."""
@@ -361,13 +504,27 @@ def leave_Call(self, original_node: cst.Call, updated_node: cst.Call) -> cst.Cal
 
                 positional_args = []
                 keyword_args = {}
-
-                # Separate positional and keyword arguments
-                for arg in updated_node.args:
-                    if arg.keyword is None:
-                        positional_args.append(arg.value)
-                    else:
-                        keyword_args[arg.keyword.value] = arg.value
+                variadic_args = []
+                variadic_kwargs = {}
+
+                # Separate positional, keyword, and variadic arguments
+                for i, arg in enumerate(updated_node.args):
+                    if isinstance(arg, cst.Arg):
+                        if arg.keyword is None:
+                            # If this is a positional argument beyond the number of parameters,
+                            # it's a variadic arg
+                            if i >= variadic_start:
+                                variadic_args.append(arg.value)
+                            elif i < len(used_params):
+                                positional_args.append(arg.value)
+                        else:
+                            # If this is a keyword argument for a used parameter, keep it
+                            if arg.keyword.value in param_to_group:
+                                keyword_args[arg.keyword.value] = arg.value
+                            # If this is a keyword argument not in the original parameters,
+                            # it's a variadic kwarg
+                            elif arg.keyword.value not in all_param_names:
+                                variadic_kwargs[arg.keyword.value] = arg.value
 
                 # Group arguments based on classified_params
                 grouped_args = {group: [] for group in classified_param_names}
@@ -397,6 +554,94 @@ def leave_Call(self, original_node: cst.Call, updated_node: cst.Call) -> cst.Cal
                     if grouped_args[group_name]  # Skip empty groups
                 ]
 
+                # Add variadic positional arguments
+                new_args.extend([cst.Arg(value=arg) for arg in variadic_args])
+
+                # Add variadic keyword arguments
+                new_args.extend(
+                    [
+                        cst.Arg(keyword=cst.Name(key), value=value)
+                        for key, value in variadic_kwargs.items()
+                    ]
+                )
+
+                return updated_node.with_changes(args=new_args)
+
+        transformer = FunctionCallTransformer()
+        return tree.visit(transformer)
+
+    @staticmethod
+    def update_function_calls_unclassified(
+        tree: cst.Module,
+        function_node: cst.FunctionDef,
+        used_params: list[str],
+        enclosing_class_name: str,
+    ) -> cst.Module:
+        """
+        Updates all calls to a given function to only include used parameters.
+        This is used when parameters are removed without being classified into objects.
+
+        Args:
+            tree: CST tree of the code
+            function_node: CST node of the function to update calls for
+            used_params: List of parameter names that are actually used in the function
+            enclosing_class_name: Name of the enclosing class if this is a method
+
+        Returns:
+            Updated CST tree with modified function calls
+        """
+        function_name = function_node.name.value
+        if function_name == "__init__":
+            function_name = enclosing_class_name
+
+        class FunctionCallTransformer(cst.CSTTransformer):
+            def leave_Call(self, original_node: cst.Call, updated_node: cst.Call) -> cst.Call:  # noqa: ARG002
+                """Transforms function calls to only include used parameters."""
+                # handle both standalone function calls and instance method calls
+                if not isinstance(updated_node.func, (cst.Name, cst.Attribute)):
+                    return updated_node
+
+                # extract the function/method name
+                func_name = (
+                    updated_node.func.attr.value
+                    if isinstance(updated_node.func, cst.Attribute)
+                    else updated_node.func.value
+                )
+
+                # if not the target function, leave unchanged
+                if func_name != function_name:
+                    return updated_node
+
+                # map original parameters to their positions
+                param_positions = {
+                    param.name.value: i for i, param in enumerate(function_node.params.params)
+                }
+
+                # keep track of which positions in the argument list correspond to used parameters
+                used_positions = {i for param, i in param_positions.items() if param in used_params}
+
+                new_args = []
+                pos_arg_count = 0
+
+                # process all arguments
+                for arg in updated_node.args:
+                    if arg.keyword is None:
+                        # handle positional arguments
+                        if pos_arg_count in used_positions:
+                            new_args.append(arg)
+                        pos_arg_count += 1
+                    else:
+                        # handle keyword arguments
+                        if arg.keyword.value in used_params:
+                            # keep keyword arguments for used parameters
+                            new_args.append(arg)
+
+                # ensure the last argument does not have a trailing comma
+                if new_args:
+                    final_args = new_args[:-1]
+                    final_args.append(new_args[-1].with_changes(comma=cst.MaybeSentinel.DEFAULT))
+                    new_args = final_args
+
                 return updated_node.with_changes(args=new_args)
 
         transformer = FunctionCallTransformer()
@@ -499,7 +744,7 @@ def refactor(
             self.is_constructor = self.function_node.name.value == "__init__"
             if self.is_constructor:
                 self.enclosing_class_name = FunctionCallUpdater.get_enclosing_class_name(
-                    tree, self.function_node, parent_metadata
+                    self.function_node, parent_metadata
                 )
             param_names = [
                 param.name.value
@@ -562,6 +807,11 @@ def refactor(
                         self.function_node, self.used_params, default_value_params
                     )
 
+                    # update all calls to match the new signature
+                    tree = self.function_updater.update_function_calls_unclassified(
+                        tree, self.function_node, self.used_params, self.enclosing_class_name
+                    )
+
                 class FunctionReplacer(cst.CSTTransformer):
                     def __init__(
                         self, original_function: cst.FunctionDef, updated_function: cst.FunctionDef