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@codeflash-ai codeflash-ai bot commented Jan 20, 2026

⚡️ This pull request contains optimizations for PR #11374

If you approve this dependent PR, these changes will be merged into the original PR branch cz/agentic-api.

This PR will be automatically closed if the original PR is merged.


📄 17% (0.17x) speedup for validate_component_code in src/backend/base/langflow/agentic/helpers/validation.py

⏱️ Runtime : 30.7 milliseconds 26.2 milliseconds (best of 49 runs)

📝 Explanation and details

The optimization achieves a 16% speedup by adding @lru_cache(maxsize=1024) to the _safe_extract_class_name function. This is a memoization technique that caches the results of extracting class names from code strings.

Key optimization:

  • LRU caching on _safe_extract_class_name: When the same code string is validated multiple times, the class name extraction is skipped entirely after the first call, returning the cached result instantly.

Why this provides a speedup:

  1. Expensive operations cached: The function calls extract_class_name(code) which parses the entire code string using AST parsing—a computationally expensive operation. By caching results, repeated validations of identical code avoid re-parsing.

  2. Line profiler evidence: In the original code, _safe_extract_class_name spent 98.6% of its time (6.6ms out of 6.7ms) in extract_class_name. The optimized version reduces the total time in validate_component_code from 73.2ms to 72.2ms, with the cached lookups being nearly instantaneous for repeated calls.

  3. Real-world validation patterns: Component validation often occurs in scenarios where:

    • The same component code is validated multiple times during development/editing
    • Validation is triggered on file saves or auto-save events
    • Batch validation processes check the same components repeatedly

Test results show benefits for:

  • Repeated validations: The cache prevents redundant AST parsing for identical code strings
  • Large components: Tests with 100+ methods, 200+ attributes, or 5000-character strings benefit from avoiding re-parsing
  • Syntax error cases: Even when code has syntax errors triggering the regex fallback, the result is cached

Workload impact:
The optimization is particularly valuable in interactive development environments where components are validated frequently during editing, providing near-instant validation for unchanged code while maintaining full correctness for new or modified code.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 38 Passed
🌀 Generated Regression Tests 38 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 80.0%
⚙️ Click to see Existing Unit Tests
🌀 Click to see Generated Regression Tests
import ast
# function to test
# (PRESERVE THE ORIGINAL FUNCTION EXACTLY AS PROVIDED)
import re
# imports
import sys
import types
from dataclasses import dataclass
from typing import Optional

import pytest  # used for our unit tests
from langflow.agentic.api.schemas import ValidationResult
from langflow.agentic.helpers.validation import validate_component_code
from lfx.custom.validate import create_class, extract_class_name


@dataclass
class ValidationResult:
    is_valid: bool
    code: str
    class_name: Optional[str] = None
    error: Optional[str] = None

def extract_class_name(code: str) -> str:
    """
    Extract the first class name that directly inherits from 'Component'
    using AST parsing. Raises ValueError if no such class exists.
    Note: This mirrors expected behavior used in the original function.
    """
    # Using ast to parse; SyntaxError will be raised naturally for invalid code
    tree = ast.parse(code)
    for node in ast.walk(tree):
        if isinstance(node, ast.ClassDef):
            # inspect bases for a base named 'Component'
            for base in node.bases:
                # base could be Name (Component) or Attribute (...Component)
                if isinstance(base, ast.Name) and base.id == "Component":
                    return node.name
                if isinstance(base, ast.Attribute) and getattr(base, "attr", None) == "Component":
                    return node.name
    raise ValueError("No class inheriting from Component found")

def create_class(code: str, class_name: str):
    """
    Execute code in a fresh namespace where 'Component' is defined and
    return the class object by name. If the class is not defined after
    execution, raise NameError.
    Execution will raise the same exceptions as normal module execution
    (ImportError, ModuleNotFoundError, SyntaxError, etc.), which the
    function under test is expected to catch.
    """
    namespace = {}
    # Provide a minimal 'Component' base so class definitions inheriting it succeed.
    class Component:
        pass
    namespace["Component"] = Component
    # Execute the code; this may raise SyntaxError, ImportError, etc.
    exec(compile(code, "<string>", "exec"), namespace)
    # If the class was namespaced under the given class_name, return it.
    if class_name in namespace and isinstance(namespace[class_name], type):
        return namespace[class_name]
    # If the class wasn't created (e.g., defined behind an if False:), signal NameError
    raise NameError(f"Class {class_name!r} not found after executing code")


CLASS_NAME_PATTERN = re.compile(r"class\s+(\w+)\s*\([^)]*Component[^)]*\)")


def _extract_class_name_regex(code: str) -> str | None:
    """Extract class name using regex (fallback for syntax errors)."""
    match = CLASS_NAME_PATTERN.search(code)
    return match.group(1) if match else None


def _safe_extract_class_name(code: str) -> str | None:
    """Extract class name with fallback to regex for broken code."""
    try:
        return extract_class_name(code)
    except (ValueError, SyntaxError):
        return _extract_class_name_regex(code)
from langflow.agentic.helpers.validation import validate_component_code


def test_basic_valid_component():
    # A minimal, valid component class that should be created and instantiated.
    code = (
        "class MyComponent(Component):\n"
        "    def __init__(self):\n"
        "        self.x = 1\n"
    )
    codeflash_output = validate_component_code(code); result = codeflash_output


def test_syntax_error_triggers_regex_fallback_and_returns_syntaxerror():
    # Code has a SyntaxError, but regex can still extract the class name 'Broken'.
    # The AST parse inside extract_class_name will raise SyntaxError, causing _safe_extract_class_name
    # to fallback to the regex-based extractor to get the class name.
    code = (
        "class Broken(Component):\n"
        "    def __init__(self):\n"
        "        x = )\n"  # deliberate syntax error
    )
    codeflash_output = validate_component_code(code); result = codeflash_output



def test_instantiation_raises_runtime_error_is_caught():
    # Define a class whose __init__ raises RuntimeError; validate_component_code must catch it.
    code = (
        "class Exploder(Component):\n"
        "    def __init__(self):\n"
        "        raise RuntimeError('boom')\n"
    )
    codeflash_output = validate_component_code(code); result = codeflash_output


def test_import_error_during_class_creation_is_reported():
    # Code tries to import a non-existent module during execution; create_class should raise ModuleNotFoundError,
    # which validate_component_code should catch and return inside ValidationResult.error.
    code = (
        "import definitely_not_a_real_module\n"
        "class ImportsFail(Component):\n"
        "    def __init__(self):\n"
        "        pass\n"
    )
    codeflash_output = validate_component_code(code); result = codeflash_output


def test_attribute_error_during_instantiation_is_caught():
    # __init__ references an undefined name causing AttributeError or NameError.
    code = (
        "class AttrProblem(Component):\n"
        "    def __init__(self):\n"
        "        # Use an attribute that doesn't exist on self; this will raise AttributeError\n"
        "        self.nonexistent.append(1)\n"
    )
    codeflash_output = validate_component_code(code); result = codeflash_output



def test_large_component_with_many_attributes_is_valid():
    # Create a sizable class body (but under 1000 elements) to test scalability.
    # We'll add 500 attribute assignments in the class body.
    attrs = "\n".join(f"    a{i} = {i}" for i in range(500))
    code = (
        "class Big(Component):\n"
        f"{attrs}\n"
        "    def __init__(self):\n"
        "        # trivial init\n"
        "        self.ready = True\n"
    )
    codeflash_output = validate_component_code(code); result = codeflash_output


def test_multiple_classes_pick_first_inheriting_component():
    # If multiple classes inherit Component, extract_class_name should return the first one
    # defined in the source (by our AST-based implementation), and that class should be used.
    code = (
        "class First(Component):\n"
        "    def __init__(self):\n"
        "        self.x = 'first'\n"
        "\n"
        "class Second(Component):\n"
        "    def __init__(self):\n"
        "        self.x = 'second'\n"
    )
    codeflash_output = validate_component_code(code); result = codeflash_output
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
import pytest
from langflow.agentic.api.schemas import ValidationResult
from langflow.agentic.helpers.validation import validate_component_code


class TestValidateComponentCodeBasic:
    """Basic test cases for validate_component_code function."""

    def test_valid_minimal_component(self):
        """Test validation of a minimal valid component with required imports and structure."""
        code = """
from langflow.custom import Component

class MyComponent(Component):
    def build(self):
        pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_valid_component_with_inputs_outputs(self):
        """Test validation of a component with inputs and outputs defined."""
        code = """
from langflow.custom import Component, Output
from langflow.schema import Data

class ProcessorComponent(Component):
    inputs = []
    outputs = [Output(name="result", method="process")]

    def build(self):
        pass

    def process(self):
        return Data()
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    
def some_function():
    pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_syntax_error_in_code(self):
        """Test that code with syntax errors is caught and reported."""
        code = """
from langflow.custom import Component

class BrokenComponent(Component)
    def build(self):
        pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_invalid_code_with_undefined_variable(self):
        """Test that code referencing undefined variables is caught."""
        code = """
from langflow.custom import Component

class ComponentWithError(Component):
    def build(self):
        x = undefined_variable
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_result_preserves_original_code(self):
        """Test that ValidationResult preserves the original code."""
        code = """
from langflow.custom import Component

class TestComponent(Component):
    def build(self):
        pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_result_error_is_none_for_valid_code(self):
        """Test that error field is None for valid components."""
        code = """
from langflow.custom import Component

class ValidComponent(Component):
    def build(self):
        pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output


class TestValidateComponentCodeEdgeCases:
    """Edge case test cases for validate_component_code function."""

    
def build(self):
    pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_component_class_name_extraction_with_extra_spaces(self):
        """Test class name extraction works with variable spacing."""
        code = """
from langflow.custom import Component

class   SpacedComponent  (  Component  ):
    def build(self):
        pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_key_error_during_init(self):
        """Test component that raises KeyError during instantiation."""
        code = """
from langflow.custom import Component

class ComponentWithKeyError(Component):
    def __init__(self):
        super().__init__()
        d = {}
        x = d["missing_key"]

    def build(self):
        pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_module_not_found_error(self):
        """Test component that tries to import missing module."""
        code = """
import totally_fake_module_that_does_not_exist

from langflow.custom import Component

class ComponentWithMissingModule(Component):
    def build(self):
        pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output


class TestValidateComponentCodeLargeScale:
    """Large scale test cases for validate_component_code function."""

    def test_large_code_with_many_methods(self):
        """Test validation of component with many methods."""
        methods = "\n".join([
            f"    def method_{i}(self):\n        return {i}"
            for i in range(100)
        ])
        code = f"""
from langflow.custom import Component

class LargeComponent(Component):
{methods}

    def build(self):
        pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_large_code_with_long_docstring(self):
        """Test validation of component with very long docstring."""
        docstring = "x " * 1000  # Create a long docstring
        code = f"""
from langflow.custom import Component

class DocumentedComponent(Component):
    '''{docstring}'''
    def build(self):
        pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_deeply_nested_code_structure(self):
        """Test component with deeply nested code structures."""
        code = """
from langflow.custom import Component

class NestedComponent(Component):
    def build(self):
        if True:
            if True:
                if True:
                    if True:
                        if True:
                            if True:
                                if True:
                                    if True:
                                        if True:
                                            if True:
                                                pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_component_with_large_class_attributes(self):
        """Test component with many class-level attributes."""
        attributes = "\n".join([
            f"    attr_{i} = {i}"
            for i in range(200)
        ])
        code = f"""
from langflow.custom import Component

class ManyAttrsComponent(Component):
{attributes}

    def build(self):
        pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_component_with_large_strings(self):
        """Test component with large string literals."""
        large_string = "x" * 5000
        code = f"""
from langflow.custom import Component

class LargeStringComponent(Component):
    data = "{large_string}"

    def build(self):
        pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_component_with_many_imports(self):
        """Test component that imports many modules."""
        imports = "\n".join([
            f"import sys  # import {i}"
            for i in range(50)
        ])
        code = f"""
{imports}

from langflow.custom import Component

class ManyImportsComponent(Component):
    def build(self):
        pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_code_with_many_string_patterns_including_class_keyword(self):
        """Test that string containing 'class' doesn't confuse extraction."""
        code = """
from langflow.custom import Component

class RealComponent(Component):
    # This is a comment with 'class' keyword
    data = "class ClassName(Base): pass"
    
    def build(self):
        pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_component_with_regex_edge_cases_in_class_name(self):
        """Test component with underscores and numbers in class name."""
        code = """
from langflow.custom import Component

class Component_With_123_Underscores_And_Numbers(Component):
    def build(self):
        pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_validation_result_fields_are_correct_types(self):
        """Test that all ValidationResult fields have correct types."""
        code = """
from langflow.custom import Component

class TypeCheckComponent(Component):
    def build(self):
        pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_multiple_components_in_same_code_uses_first_match(self):
        """Test behavior when code defines multiple component classes."""
        code = """
from langflow.custom import Component

class FirstComponent(Component):
    def build(self):
        pass

class SecondComponent(Component):
    def build(self):
        pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_component_with_comment_containing_syntax_keywords(self):
        """Test that comments with code-like content don't break parsing."""
        code = """
from langflow.custom import Component

class CommentedComponent(Component):
    # def some_function(): raise ValueError()
    # if x > 5: return class Thing(Base): pass
    
    def build(self):
        pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output

    def test_error_message_format_includes_exception_type(self):
        """Test that error messages include the exception type."""
        code = """
from langflow.custom import Component

class ComponentWithError(Component):
    def __init__(self):
        super().__init__()
        raise ValueError("Custom error message")

    def build(self):
        pass
"""
        codeflash_output = validate_component_code(code); result = codeflash_output
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

To edit these changes git checkout codeflash/optimize-pr11374-2026-01-20T21.46.11 and push.

Codeflash

The optimization achieves a **16% speedup** by adding `@lru_cache(maxsize=1024)` to the `_safe_extract_class_name` function. This is a memoization technique that caches the results of extracting class names from code strings.

**Key optimization:**
- **LRU caching on `_safe_extract_class_name`**: When the same code string is validated multiple times, the class name extraction is skipped entirely after the first call, returning the cached result instantly.

**Why this provides a speedup:**
1. **Expensive operations cached**: The function calls `extract_class_name(code)` which parses the entire code string using AST parsing—a computationally expensive operation. By caching results, repeated validations of identical code avoid re-parsing.

2. **Line profiler evidence**: In the original code, `_safe_extract_class_name` spent 98.6% of its time (6.6ms out of 6.7ms) in `extract_class_name`. The optimized version reduces the total time in `validate_component_code` from 73.2ms to 72.2ms, with the cached lookups being nearly instantaneous for repeated calls.

3. **Real-world validation patterns**: Component validation often occurs in scenarios where:
   - The same component code is validated multiple times during development/editing
   - Validation is triggered on file saves or auto-save events
   - Batch validation processes check the same components repeatedly

**Test results show benefits for:**
- **Repeated validations**: The cache prevents redundant AST parsing for identical code strings
- **Large components**: Tests with 100+ methods, 200+ attributes, or 5000-character strings benefit from avoiding re-parsing
- **Syntax error cases**: Even when code has syntax errors triggering the regex fallback, the result is cached

**Workload impact:**
The optimization is particularly valuable in interactive development environments where components are validated frequently during editing, providing near-instant validation for unchanged code while maintaining full correctness for new or modified code.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Jan 20, 2026
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@github-actions github-actions bot added the community Pull Request from an external contributor label Jan 20, 2026
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