Python Dependency Inversion Principle
Summary: in this tutorial, you’ll learn about the Python dependency inversion principle to make your code hi
Introduction to the dependency inversion principle
The dependency inversion principle is one of the five SOLID principles in object-oriented programming:
- S – Single responsibility Principle
- O – Open-closed Principle
- L – Liskov Substitution Principle
- I – Interface Segregation Principle
- D – Dependency Inversion Principle
The dependency inversion principle states that:
- High-level modules should not depend on low-level modules. Both should depend on abstractions.
- Abstractions should not depend on details. Details should depend on abstractions.
The dependency inversion principle aims to reduce the coupling between classes by creating an abstraction layer between them.
See the following example:
class FXConverter:
def convert(self, from_currency, to_currency, amount):
print(f'{amount} {from_currency} = {amount * 1.2} {to_currency}')
return amount * 1.2
class App:def start(self):
converter = FXConverter()
converter.convert(‘EUR’, ‘USD’, 100)
if __name__ == ‘__main__’:
app = App()
app.start()
Code language: Python (python)
In this example, we have two classes FXConverter
and App
.
The FXConverter
class uses an API from an imaginary FX third-party to convert an amount from one currency to another. For simplicity, we hardcoded the exchange rate as 1.2
. In practice, you will need to make an API call to get the exchange rate.
The App
class has a start()
method that uses an instance of the FXconverter
class to convert 100 EUR to USD.
The App
is a high-level module. However, The App
depends heavily on the FXConverter
class that is dependent on the FX’s API.
In the future, if the FX’s API changes, it’ll break the code. Also, if you want to use a different API, you’ll need to change the App
class.
To prevent this, you need to invert the dependency so that the FXConverter
class needs to adapt to the App
class.
To do that, you define an interface and make the App
dependent on it instead of FXConverter
class. And then you change the FXConverter
to comply with the interface.
First, define an abstract class CurrencyConverter
that acts as an interface. The CurrencyConverter
class has the convert()
method that all of its subclasses must implement:
from abc import ABC
class CurrencyConverter(ABC):
def convert(self, from_currency, to_currency, amount) -> float:
pass
Code language: Python (python)
Second, redefine the FXConverter
class so that it inherits from the CurrencyConverter
class and implement the convert()
method:
class FXConverter(CurrencyConverter):
def convert(self, from_currency, to_currency, amount) -> float:
print('Converting currency using FX API')
print(f'{amount} {from_currency} = {amount * 1.2} {to_currency}')
return amount * 2
Code language: Python (python)
Third, add the __init__
method to the App
class and initialize the CurrencyConverter
‘s object:
class App:
def __init__(self, converter: CurrencyConverter):
self.converter = converter
def start(self):self.converter.convert(‘EUR’, ‘USD’, 100)
Code language: Python (python)
Now, the App
class depends on the CurrencyConverter
interface, not the FXConverter
class.
The following creates an instance of the FXConverter
and pass it to the App
:
if __name__ == '__main__':
converter = FXConverter()
app = App(converter)
app.start()
Code language: JavaScript (javascript)
Output:
Converting currency using FX API
100 EUR = 120.0 USD
In the future, you can support another currency converter API by subclassing the CurrencyConverter
class. For example, the following defines the AlphaConverter
class that inherits from the CurrencyConverter
.
class AlphaConverter(CurrencyConverter):
def convert(self, from_currency, to_currency, amount) -> float:
print('Converting currency using Alpha API')
print(f'{amount} {from_currency} = {amount * 1.2} {to_currency}')
return amount * 1.15
Code language: Python (python)
Since the AlphaConvert
class inherits from the CurrencyConverter
class, you can use its object in the App
class without changing the App
class:
if __name__ == '__main__':
converter = AlphaConverter()
app = App(converter)
app.start()
Code language: JavaScript (javascript)
Output:
Converting currency using Alpha API
100 EUR = 120.0 USD
Put it all together.
from abc import ABC
class CurrencyConverter(ABC):
def convert(self, from_currency, to_currency, amount) -> float:
pass
class FXConverter(CurrencyConverter):
def convert(self, from_currency, to_currency, amount) -> float:
print(‘Converting currency using FX API’)
print(f’{amount} {from_currency} = {amount * 1.2} {to_currency}‘)
return amount * 1.15
class AlphaConverter(CurrencyConverter):
def convert(self, from_currency, to_currency, amount) -> float:
print(‘Converting currency using Alpha API’)
print(f’{amount} {from_currency} = {amount * 1.2} {to_currency}‘)
return amount * 1.2
class App:
def __init__(self, converter: CurrencyConverter):
self.converter = converter
def start(self):
self.converter.convert(‘EUR’, ‘USD’, 100)
if __name__ == ‘__main__’:
converter = AlphaConverter()
app = App(converter)
app.start()
Code language: Python (python)
Summary
- Use the dependency inversion principle to make your code more robust by making the high-level module dependent on the abstraction, not the concrete implementation.