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Bridge Method – Python Design Patterns

The bridge method is a Structural Design Pattern that allows us to separate the Implementation Specific Abstractions and Implementation Independent Abstractions from each other and can be developed considering as single entities.
The bridge Method is always considered as one of the best methods to organize the class hierarchy.

Bridge Method

Elements of Bridge Design Pattern

Problem without using Bridge Method

Consider the following class Cuboid which has three attributes named length, breadth, and height and three methods named ProducewithAPI1(), ProduceWithAPI2(), and expand()
Out of these, producing methods are implementation-specific as we have two production APIs, and one method i.e., expand() method is implementation-independent. 



Till now we have only two implementation-specific methods and one implementation-independent method but when the quantity will rise (of course in a large-scale project) things will become messy for the developers to handle.
 

Problem-Bridge-Method

Note: Following code is written without using the Bridge method.






""" Code without using the bridge method
    We have a class with three attributes
    named as length, breadth, and height and
    three methods named as ProduceWithAPI1(),
    ProduceWithAPI2(), and expand(). Out of these
    producing methods are implementation-specific
    as we have two production APIs"""
 
class Cuboid:
 
    class ProducingAPI1:
 
        """Implementation Specific Implementation"""
 
        def produceCuboid(self, length, breadth, height):
 
            print(f'API1 is producing Cuboid with length = {length}, '
                  f' Breadth = {breadth} and Height = {height}')
 
    class ProducingAPI2:
        """Implementation Specific Implementation"""
 
        def produceCuboid(self, length, breadth, height):
            print(f'API2 is producing Cuboid with length = {length}, '
                  f' Breadth = {breadth} and Height = {height}')
 
 
    def __init__(self, length, breadth, height):
 
        """Initialize the necessary attributes"""
 
        self._length = length
        self._breadth = breadth
        self._height = height
 
    def produceWithAPI1(self):
 
        """Implementation specific Abstraction"""
 
        objectAPIone = self.ProducingAPI1()
        objectAPIone.produceCuboid(self._length, self._breadth, self._height)
 
    def producewithAPI2(self):
 
        """Implementation specific Abstraction"""
 
        objectAPItwo = self.ProducingAPI2()
        objectAPItwo.produceCuboid(self._length, self._breadth, self._height)
 
    def expand(self, times):
 
        """Implementation independent Abstraction"""
 
        self._length = self._length * times
        self._breadth = self._breadth * times
        self._height = self._height * times
 
# Instantiate a Cuboid
cuboid1 = Cuboid(1, 2, 3)
 
# Draw it using APIone
cuboid1.produceWithAPI1()
 
# Instantiate another Cuboid
cuboid2 = Cuboid(19, 20, 21)
 
# Draw it using APItwo
cuboid2.producewithAPI2()

Solution using Bridge method

Now let’s look at the solution for the above problem. The bridge Method is one of the best solutions for such kinds of problems. Our main purpose is to separate the codes of implementation-specific abstractions and implementation-independent abstractions.

Solution-Bridge-Method

Note: Following Code is written using Bridge Method




"""Code implemented with Bridge Method.
   We have a Cuboid class having three attributes
   named as length, breadth, and height and three
   methods named as produceWithAPIOne(), produceWithAPItwo(),
   and expand(). Our purpose is to separate out implementation
   specific abstraction from implementation-independent
   abstraction"""
 
class ProducingAPI1:
 
    """Implementation specific Abstraction"""
 
    def produceCuboid(self, length, breadth, height):
 
        print(f'API1 is producing Cuboid with length = {length}, '
              f' Breadth = {breadth} and Height = {height}')
 
class ProducingAPI2:
 
    """Implementation specific Abstraction"""
 
    def produceCuboid(self, length, breadth, height):
 
        print(f'API2 is producing Cuboid with length = {length}, '
              f' Breadth = {breadth} and Height = {height}')
 
class Cuboid:
 
    def __init__(self, length, breadth, height, producingAPI):
 
        """Initialize the necessary attributes
           Implementation independent Abstraction"""
 
        self._length = length
        self._breadth = breadth
        self._height = height
 
        self._producingAPI = producingAPI
 
    def produce(self):
 
        """Implementation specific Abstraction"""
 
        self._producingAPI.produceCuboid(self._length, self._breadth, self._height)
 
    def expand(self, times):
 
        """Implementation independent Abstraction"""
 
        self._length = self._length * times
        self._breadth = self._breadth * times
        self._height = self._height * times
 
 
"""Instantiate a cuboid and pass to it an
   object of ProducingAPIone"""
 
cuboid1 = Cuboid(1, 2, 3, ProducingAPI1())
cuboid1.produce()
 
cuboid2 = Cuboid(19, 19, 19, ProducingAPI2())
cuboid2.produce()

UML Diagram of Bridge Method

Following is the UML diagram for Bridge Method
 

UML -diagram-Bridge-Method

Advantages

Disadvantages

Applicability

Further read: Bridge Method in Java
 


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