[FEAT]: GET /api/v1/blogs/{blog_id}/engagement

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Why?
Monitors engagement metrics, including views, likes, and comments.
Enables authors and administrators to assess a blog post's popularity.
Can be utilized for recommendation systems, such as suggesting blogs with high engagement.

What?
Returns engagement data for a specific blog post:
Total Views
Total Likes
Total Comments
Shares (if applicable)

How?
Store views separately from likes and comments

Views should not be updated in real-time via database writes to avoid performance issues. Instead:
Use a caching system (Redis) to store views temporarily.
Batch update views periodically to the database.

• Use efficient counting strategies for likes and comments

SQL: Use COUNT(*) on indexed columns.
NoSQL (MongoDB): Maintain a separate collection for analytics to avoid scanning large comment or like datasets.
API Response Example:

json

{
  "blog_id": "123",
  "views": 2450,
  "likes": 150,
  "comments": 25,
  "shares": 10
}