refactor: Calculator Component updating tool implementation and fix deprecation warnings (#5442)

* refactor(calculator): update tool implementation

Replace legacy tool mode implementation using CalculatorToolSchema with simplified tool_mode=True approach.

* refactor(calculator): fix deprecation warnings

Fix ast.Num deprecation warnings by supporting ast.Constant while maintaining backwards compatibility.

* Update isinstance check to use Python 3.10+ union operator (|) instead of tuple syntax

* Update calculator.py

Component name required; if not it would get None in Toolset

* [autofix.ci] apply automated fixes

* test(calculator): add unit tests for CalculatorToolComponent

* revert(tools): restore Calculator component to its original implementation

Due to potential breaking changes in the repository, reverting the Calculator
component to its initial PR state to maintain compatibility and stability.

* feat(tools): mark Calculator component as legacy and update display name

- Set legacy flag to true for Calculator component
- Update display name to "Calculator (Deprecated)" to clearly indicate deprecation status
- Maintain backward compatibility by preserving class name and internal name

* feat(tools)!: add new calculator core component

BREAKING CHANGE: Introduces calculator_core.py as a replacement for the deprecated calculator.py

* refactor(tools): rename calculator classes for better distinction

* refactor(tools): update __init__.py to reflect new class names

* [autofix.ci] apply automated fixes

* test(tools): update calculator tests for core component

---------

Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>

src/backend/base/langflow/components/tools/__init__.py

@@ -4,6 +4,7 @@ from langchain_core._api.deprecation import LangChainDeprecationWarning
 
 from .bing_search_api import BingSearchAPIComponent
 from .calculator import CalculatorToolComponent
+from .calculator_core import CalculatorComponent
 from .duck_duck_go_search_run import DuckDuckGoSearchComponent
 from .exa_search import ExaSearchToolkit
 from .glean_search_api import GleanSearchAPIComponent
@@ -31,6 +32,7 @@ __all__ = [
     "AstraDBCQLToolComponent",
     "AstraDBToolComponent",
     "BingSearchAPIComponent",
+    "CalculatorComponent",
     "CalculatorToolComponent",
     "DuckDuckGoSearchComponent",
     "ExaSearchToolkit",

src/backend/base/langflow/components/tools/calculator.py

@@ -13,10 +13,11 @@ from langflow.schema import Data
 
 
 class CalculatorToolComponent(LCToolComponent):
-    display_name = "Calculator"
+    display_name = "Calculator [DEPRECATED]"
     description = "Perform basic arithmetic operations on a given expression."
     icon = "calculator"
     name = "CalculatorTool"
+    legacy = True
 
     inputs = [
         MessageTextInput(

src/backend/base/langflow/components/tools/calculator_core.py

@@ -0,0 +1,88 @@
+import ast
+import operator
+from collections.abc import Callable
+
+from langflow.custom import Component
+from langflow.inputs import MessageTextInput
+from langflow.io import Output
+from langflow.schema import Data
+
+
+class CalculatorComponent(Component):
+    display_name = "Calculator"
+    description = "Perform basic arithmetic operations on a given expression."
+    icon = "calculator"
+
+    # Cache operators dictionary as a class variable
+    OPERATORS: dict[type[ast.operator], Callable] = {
+        ast.Add: operator.add,
+        ast.Sub: operator.sub,
+        ast.Mult: operator.mul,
+        ast.Div: operator.truediv,
+        ast.Pow: operator.pow,
+    }
+
+    inputs = [
+        MessageTextInput(
+            name="expression",
+            display_name="Expression",
+            info="The arithmetic expression to evaluate (e.g., '4*4*(33/22)+12-20').",
+            tool_mode=True,
+        ),
+    ]
+
+    outputs = [
+        Output(display_name="Data", name="result", type_=Data, method="evaluate_expression"),
+    ]
+
+    def _eval_expr(self, node: ast.AST) -> float:
+        """Evaluate an AST node recursively."""
+        if isinstance(node, ast.Constant):
+            if isinstance(node.value, int | float):
+                return float(node.value)
+            error_msg = f"Unsupported constant type: {type(node.value).__name__}"
+            raise TypeError(error_msg)
+        if isinstance(node, ast.Num):  # For backwards compatibility
+            if isinstance(node.n, int | float):
+                return float(node.n)
+            error_msg = f"Unsupported number type: {type(node.n).__name__}"
+            raise TypeError(error_msg)
+
+        if isinstance(node, ast.BinOp):
+            op_type = type(node.op)
+            if op_type not in self.OPERATORS:
+                error_msg = f"Unsupported binary operator: {op_type.__name__}"
+                raise TypeError(error_msg)
+
+            left = self._eval_expr(node.left)
+            right = self._eval_expr(node.right)
+            return self.OPERATORS[op_type](left, right)
+
+        error_msg = f"Unsupported operation or expression type: {type(node).__name__}"
+        raise TypeError(error_msg)
+
+    def evaluate_expression(self) -> Data:
+        """Evaluate the mathematical expression and return the result."""
+        try:
+            tree = ast.parse(self.expression, mode="eval")
+            result = self._eval_expr(tree.body)
+
+            formatted_result = f"{float(result):.6f}".rstrip("0").rstrip(".")
+            self.log(f"Calculation result: {formatted_result}")
+
+            self.status = formatted_result
+            return Data(data={"result": formatted_result})
+
+        except ZeroDivisionError:
+            error_message = "Error: Division by zero"
+            self.status = error_message
+            return Data(data={"error": error_message, "input": self.expression})
+
+        except (SyntaxError, TypeError, KeyError, ValueError, AttributeError, OverflowError) as e:
+            error_message = f"Invalid expression: {e!s}"
+            self.status = error_message
+            return Data(data={"error": error_message, "input": self.expression})
+
+    def build(self):
+        """Return the main evaluation function."""
+        return self.evaluate_expression