1. git clone : - https://github.com/Sahil-Sayyad/Blog_Analytics_API.git
 2. npm install  // to install dependencies
 3. npm start   // for start app  
 4. API endpoints : - 
                   1.Fetch and analyze blog data
                   METHOD = GET
                   http://localhost:3000/api/blog-stats
                   
                   2.Blog search
                   METHOD = GET
                   http://localhost:3000/api/blog-search?query=privacy

You are developing a blog analytics and search tool using Express.js and Lodash. Your goal is to create a middle ware that analyzes the data retrieved from a third-party blog API (provided via the given curl request) and provides insightful statistics to clients. Additionally, you need to implement a blog search endpoint.

1. Data Retrieval:

   • Use Express to create a route at /api/blog-stats.

   • When a GET request is made to this route, your middleware should make the provided curl request to fetch the blog data.

2. Data Analysis:

   • After fetching the data, use Lodash to perform the following analytics:

   • Calculate the total number of blogs fetched.

   • Find the blog with the longest title.

   • Determine the number of blogs with titles containing the word “privacy.”

   • Create an array of unique blog titles (no duplicates).

3. Response:

   • Respond to the client with a JSON object containing the following statistics:

   • Total number of blogs.

   • The title of the longest blog.

   • Number of blogs with “privacy” in the title.

   • An array of unique blog titles.

4. Blog Search Endpoint:

   • Create an additional route at /api/blog-search.

   • This route should accept a query parameter, e.g., /api/blog-search?query=privacy.

   • Implement a search functionality that filters the blogs based on the provided query string (case-insensitive).

   • Ensure that the search functionality is an original implementation, and copied code from external sources is not allowed.

5. Error Handling:

   • Handle any errors that may occur during the data retrieval, analysis, or search process. If the third-party API is unavailable or returns an error, respond with an appropriate error message.

   • Error handling should be implemented without direct copying of code from external sources.

6. Bonus Challenge:

   • Implement a caching mechanism using Lodash’s memoize function to store the analytics results and search results for a certain period. If the same requests are made within the caching period, return the cached results instead of re-fetching and re-analyzing the data.

   • Ensure that the caching mechanism is implemented as an original solution.