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Problem:
You need to compare two deeply nested objects (oldObj and newObj) and identify the differences between them, including changes, additions, and deletions. The challenge lies in representing these differences in a meaningful and JSON-serializable manner, especially when arrays are involved.
Solution:
Creating a Generic Deep Diff Algorithm:
Consider developing a genericDeepDiffBetweenObjects method that returns an object of the form {add: {...}, upd: {...}, del: {...}}. This would provide a basic representation of the changes.
Improved Data Representation:
For a more comprehensive approach, consider using the same object structure as newObj but converting all property values into objects of the form {type:
Handling Array Comparison:
Arrays present a unique challenge due to the need to consider element order for equality. A sophisticated solution would treat arrays of value-based types like strings, integers, and booleans as equal regardless of order. However, arrays of reference types like objects and arrays require more complex comparison logic.
Example Implementation:
Here's a snippet of a class that implements the proposed algorithm and can be customized to handle different value comparison requirements:
Example Usage:
Conclusion:
This approach provides a robust and customizable way to perform deep object comparison and represent the differences in a clear and JSON-serializable manner. It can be extended to handle more complex value comparison requirements or alternative data representation formats as needed.
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