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tool to expose functionalities to multiple tools

Project description


ExposedFunctionality is a Python library designed to facilitate the interaction between backend code and frontend interfaces. It enables developers to expose backend methods and variables in a structured and secure way, making it easier to integrate with front-end systems or API endpoints. This library is particularly useful in scenarios where backend logic needs to be accessed or manipulated from a front-end application or through web API calls.


  • Function Exposition: Expose backend functions with added metadata, such as parameter types, return types, and descriptions, making it easier for frontend applications to understand and use these functions.
  • Variable Exposition: Expose backend variables in a controlled manner, with support for type enforcement, default values, and change events.
  • Docstring Parsing: Automatically parse function docstrings to extract parameter and return value descriptions, further enriching the exposed method's metadata.
  • Type Safety: Enforce type checks on exposed variables and function parameters to reduce runtime errors and ensure data integrity.
  • Event Handling: Support for change events on exposed variables, allowing the frontend to react to changes in the backend state.
  • Middleware Integration: Apply middleware functions to exposed variables for additional processing or validation before setting their values.
  • Dynamic Addition: Dynamically add exposed functions and variables to instances or classes, enhancing flexibility in runtime object configuration.


To install ExposedFunctionality, use pip:

pip install exposedfunctionality


Exposing Functions

To expose a backend function, use the exposed_method decorator. This allows you to specify metadata such as the method's name, input parameters, and output parameters.

from exposedfunctionality import exposed_method

@exposed_method(name="calculate_sum", inputs=[{"name": "a", "type": "int"}, {"name": "b", "type": "int"}], outputs=[{"name": "result", "type": "int"}])
def add(a, b):
    """Calculate the sum of two numbers."""
    return a + b

To retrieve exposed methods from an object (either an instance or a class), you can use the get_exposed_methods function provided by the exposedfunctionality package. This function scans an object for methods that have been decorated with @exposed_method and collects them into a dictionary, making it easy to access and utilize these methods programmatically, such as when dynamically generating API endpoints or interfaces.


Consider the following class with an exposed method:

from exposedfunctionality import exposed_method, get_exposed_methods

class MathOperations:
    @exposed_method(name="add", inputs=[{"name": "a", "type": "int"}, {"name": "b", "type": "int"}], outputs=[{"name": "sum", "type": "int"}])
    def add_numbers(self, a, b):
        """Add two numbers."""
        return a + b

To retrieve the exposed methods from an instance of MathOperations, you would do the following:

math_operations = MathOperations()

exposed_methods = get_exposed_methods(math_operations)

for method_name, (method, metadata) in exposed_methods.items():
    print(f"Method Name: {method_name}")
    print(f"Metadata: {metadata}")
    print(f"Function: {method}")

This will output something like:

Method Name: add
Metadata: {'name': 'add', 'input_params': [{'name': 'a', 'type': 'int', 'positional': True}, {'name': 'b', 'type': 'int', 'positional': True}], 'output_params': [{'name': 'sum', 'type': 'int'}], 'docstring': {'summary': 'Add two numbers.', 'original': 'Add two numbers.', 'input_params': [], 'output_params': [], 'exceptions': {}}}
Function: <bound method MathOperations.add_numbers of <__main__.MathOperations object at 0x7fcd1830f1f0>>

The get_exposed_methods function is particularly useful for frameworks or libraries that need to dynamically discover which methods are available for external access, such as in web frameworks for automatically generating API routes or in GUI applications for dynamically creating user interface elements based on the backend logic.

Exposing Variables

Expose backend variables using the ExposedValue descriptor. This enables type checking, default values, and change event handling.

from exposedfunctionality.variables import ExposedValue

class Calculator:
    result = ExposedValue("result", default=0, type_=int)

calculator = Calculator()
calculator.result = 5  # Sets the result and enforces type checking

Listening to Variable Changes

You can listen to changes on an exposed variable by attaching an OnChangeEvent:

def on_result_change(new_value, old_value):
    print(f"Result changed from {old_value} to {new_value}")

calculator.result = 10  # Triggers the on_result_change callback

Applying Middleware

Use middleware functions to process or validate variable values before they are set:

from exposedfunctionality.variables.middleware import min_max_clamp

class RestrictedCalculator:
    result = ExposedValue("result", default=0, type_=int, valuechecker=[min_max_clamp],max=100)

restricted_calculator = RestrictedCalculator()
restricted_calculator.result = 150  # The value will be clamped to 100


Contributions are welcome! Please feel free to submit pull requests, report bugs, or suggest features.


This project is licensed under the MIT License. See the LICENSE file for details.

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