This pull request aims to enhance the DataProcessor class by implementing the following changes to improve error handling, optimize efficiency, and enhance logging capabilities.

Changes Made:

1. Error Handling Improvements:

   • Added try-except blocks in file reading, URL processing, and directory processing functions to handle exceptions gracefully.
   • Used the logger to log error messages for better traceability and debugging.

2. Optimized File and Directory Handling:

   • Simplified path operations using Python's built-in utilities such as os.path and Path.
   • Ensured robust file handling with directory creation checks and removal of temporary files when appropriate.

3. Improved Multiprocessing Usage:

   • Refined the usage of multiprocessing.Pool to minimize overhead.
   • Enhanced progress tracking with the tqdm library for better user feedback during processing.

4. Logging Enhancements:

   • Added detailed logging at key steps, including file reading, content processing, and error conditions, to provide insights into the data processing workflow.
   • Included log messages to indicate the completion of each processing step, with additional context for directory and URL processing.

These changes enhance the reliability and performance of the DataProcessor class.