PyAccessModifier 0.4.1

Python Kotlin Acess Modifier

Python Access Modifiers Library

This library provides access control mechanisms for Python classes, including Private, Protected, Internal, and Public variables and methods. Python does not enforce strict access modifiers like Java or C++, but this library uses descriptors and decorators to simulate them.

How to install

pip install PyAccessModifier

or

pip install git+https://github.com/howShouldIChooseMyUsername/PyAccessModifier.git

---

Setup

from PyAcessModifier import * # Recommended
# or
import PyAcessModifier

---

Variable Descriptors

1. Private

• Purpose: Restrict access to the variable only within the defining class.
• Example:

@API
class MyClass:
    @privateinit
    def init(self):
        self._privateValue = Private(40)
obj = MyClass()
print(obj.my_private)  # PermissionError

• Behavior:
  • Reading or writing from outside the class raises PermissionError.
  • Only instances of the defining class can access the value.

---

1.1. Private (Class-level)

• Purpose: Restrict access to the class-level variable only within the defining class.
• Example:

from PyAcessModifier import Private, public

class MyClass:
    # Class-level private variable
    class_private = Private(42)

    @public
    def show_private(self):
        print("Internal access:", self.class_private)

    @public
    def change_private(self, value):
        self.class_private = value

obj = MyClass()

# Access via class methods (allowed)
obj.show_private()          # Internal access: 42
obj.change_private(99)
obj.show_private()          # Internal access: 99

# Direct external access (raises PermissionError)
print(obj.class_private)    # PermissionError
obj.class_private = 123     # PermissionError

• Behavior:
  • Reading or writing from outside the class raises PermissionError.
  • Accessing or modifying the variable inside the class methods works as expected.

---

2. Protected

• Purpose: Allow access only from the defining class and its subclasses.
• Example:

class MyClass:
    my_protected = Protected(10)

class Child(MyClass):
    def access_protected(self):
        print(self.my_protected)

• Behavior:
  • Reading or writing from unrelated classes raises PermissionError.
  • Subclasses can access and modify the value.

---

3. Internal

• Purpose: Restrict access to code within the same folder/module.
• Example:

class MyClass:
    my_internal = Internal(99)

• Behavior:
  • Access from files outside the same folder raises PermissionError.
  • Useful for module-level encapsulation.

---

4. Public

• Purpose: Standard public variable, no access restriction.
• Example:

class MyClass:
    my_public = Public(123)

• Behavior:
  • Can be accessed and modified freely from anywhere.

---

Function Decorators

1. @private

• Purpose: Restrict method access to the defining class only.
• Example:

class MyClass:
    @private
    def secret_method(self):
        print("Private Method")

• Behavior:
  • Calling from outside the class raises PermissionError.

---

2. @protected

• Purpose: Allow method access from the defining class and subclasses.
• Example:

class MyClass:
    @protected
    def prot_method(self):
        print("Protected Method")

• Behavior:
  • Calling from unrelated classes raises PermissionError.

---

3. @internal

• Purpose: Restrict method access to the same folder/module.
• Example:

class MyClass:
    @internal
    def internal_method(self):
        print("Internal Method")

• Behavior:
  • Calling from files in different folders raises PermissionError.

---

4. @public

• Purpose: Standard public method, no restriction.
• Example:

class MyClass:
    @public
    def pub_method(self):
        print("Public Method")

• Behavior:
  • Can be called from anywhere.

---

5. @AutoPrivateInit

• Purpose: Required when using @privateinit; ensures instance-level private variables are properly initialized.
• Example:

@AutoPrivateInit # or @API
class MyClass:
    @privateinit
    def private_init(self):
        self._private_value = Private(10)

• Behavior:
  • Automatically runs all methods marked with @privateinit after init.
  • Can be called from anywhere, but the decorator itself must be applied to the class whenever @privateinit is used.

---

5.1. @privateinit

• Purpose: Initialize private variables separately from __init__(); runs automatically on instance creation.
• Example:

class Myclass:
    privateVariable = Private(1)
    def __init__(self):
        Myclass.privateVariable = 2
        # Error : will raise PermissionError if a subclass calls super().__init__()
    @privateinit
    def init(self):
        Myclass.privateVariable = 2
        # Right usage
        self.privateVariable2 = Private(2)

---

Class Decorators

1. @private

• Purpose: Restrict access to the defining class only; prevents subclass or external code from instantiating or accessing the class directly.
• Example:

@private
class MyClass:
    @staticmethod
    def private_class():
        print("private class")

• Behavior:
  • Calling from outside the class raises PermissionError.

---

2. @protected

• Purpose: Allow access to the defining class and its subclasses; prevents external code from instantiating or accessing the class directly.
• Example:

@protected
class MyClass:
    @staticmethod
    def protected_class():
        print("protected class")

• Behavior:
  • Calling from unrelated classes raises PermissionError.

---

3. @internal

• Purpose: Restrict access to the defining class within the same folder/module; prevents external code from instantiating or accessing the class from other folders/modules.
• Example:

@internal
class MyClass:
    @staticmethod
    def internal_class():
        print("internal class")

• Behavior:
  • Calling from files in different folders raises PermissionError.

---

4. @public

• Purpose: Standard public class; allows unrestricted instantiation and access from any scope.
• Example:

@public
class MyClass:
    @staticmethod
    def public_class():
        print("public class")

• Behavior:
  • Can be called from anywhere.

---

Example Usage

class MyClass:
    my_private = Private(42)
    my_protected = Protected(10)
    my_internal = Internal(99)
    my_public = Public(123)

    @private
    def secret_method(self):
        print(self.my_private)

    @protected
    def prot_method(self):
        print(self.my_protected)

    @internal
    def internal_method(self):
        print(self.my_internal)

    @public
    def pub_method(self):
        print(self.my_public)


class Child(MyClass):
    def access_protected(self):
        print(self.my_protected)
        self.prot_method()

@private
class PrivateClass :
    def __init__(self):
        print("This is a private class!")
        
@internal
class InternalClass :
    def __init__(self):
        print("This is a internal class!")

@protected
class ProtectedClass :
    def __init__(self):
        print("This is a protected class!")

@public
class PublicClass :
    def __init__(self):
        print("This is a public class!")

Notes:

• Version 0.4.1
• Python does not natively support strict access control.
• This library leverages descriptors for variables and decorators for methods.
• Use with caution, as it relies on call stack inspection (inspect) and may not cover all edge cases.
• Any class, method, or variable not explicitly marked with an access modifier is considered public by default.
• Always place class-level access control decorators at the top, above other decorators.