Embedded Value pattern with an example in Python

In the realm of object-oriented programming (OOP), the Embedded Value pattern in Python emerges as a design strategy to directly store a simple value within a class. This approach proves particularly valuable when the value is intrinsically linked to the object’s identity and doesn’t necessitate intricate behavior or manipulation.

Core Idea:

• An object encapsulates a basic value directly as a member variable.

Advantages:

• Streamlined Code: By keeping related data together, the code becomes more concise and easier to understand.
• Enhanced Readability: The purpose of the value becomes readily apparent, fostering better code comprehension.
• Improved Maintainability: Tight coupling between the value and the object simplifies maintenance efforts.

Potential Drawbacks:

• Limited Functionality: Complex data manipulation capabilities might be restricted.
• Code Duplication: If the value is employed across numerous classes, code duplication might arise.

Practical Example: Point Class with Embedded Coordinates

Let’s solidify our understanding with a practical illustration. We’ll create a Point class that stores its coordinates (X and Y) as embedded values:

class Point:
  def __init__(self, x, y):
    self.x = x
    self.y = y

  def get_coordinates(self):
    return (self.x, self.y)

# Example usage
point = Point(5, 3)
coordinates = point.get_coordinates()
print(f"Point coordinates: {coordinates}")

Explanation:

• The Point class houses two member variables, x, and y, to store the coordinates.
• The get_coordinates method simply returns a tuple containing these values.

This approach ensures that the coordinates are encapsulated within the Point object, clearly indicating their association with the specific point instance.

When to Consider Embedded Values

The Embedded Value pattern shines when:

• The value is fundamental to the object’s identity and unlikely to undergo independent changes.
• The value requires minimal manipulation or functionality beyond storage.
• Readability and maintainability hold greater significance compared to complex data structures.However, if the value necessitates validation, or manipulation, or is shared across multiple objects, consider employing separate data structures or classes.

Alternatives

Here are some potential alternatives to explore:

• Composition: If the value demands complex logic, utilize a separate class to encapsulate it along with its behavior.
• Data Structures: When multiple objects share the same value structure, consider using data structures like tuples or dictionaries instead of individual member variables.

Conclusion

The Embedded Value pattern offers a straightforward approach to storing basic data within a class. It fosters code clarity and maintainability for fundamental object properties. However, it’s crucial to assess the complexity of the value and opt for the most suitable approach that aligns with your specific requirements.