v1.1.0 - Major Enhancements and Improvements

Release Title: v1.1.0 - Major Enhancements and Improvements

Description:

We are excited to announce the latest release of the Log User Extractor script, which includes several major enhancements to improve efficiency, flexibility, and user experience.

🚀 What's New:

1. ⚡ Parallel Processing

   • Status: Implemented
   • Details: We've introduced parallel processing to handle multiple log files simultaneously. This enhancement significantly reduces the time required to process large datasets, making the script more efficient and scalable.

2. 🔧 Enhanced Error Handling and Logging

   • Status: Implemented
   • Details: We've added robust error handling and logging mechanisms to track processing status and any issues that arise. This improvement enhances monitoring, debugging, and the overall reliability of the script.

3. ⚙️ Configurable Parameters

   • Status: Implemented
   • Details: Users can now specify options such as file patterns, output file names, and log levels through a configuration file. This provides greater flexibility and customization.

📈 Progress Tracking:

• Parallel Processing: ✅ Completed
• Enhanced Error Handling and Logging: ✅ Completed
• Configurable Parameters: ✅ Completed

📋 How to Update:

1. Clone the repository:

   git clone https://github.com/PKHarsimran/LogUserExtractor.git

2. Navigate to the project directory:

   cd LogUserExtractor

3. Install the required Python packages:

   pip install pandas

4. Configure the script:

   Edit the config.ini file to specify your directories, file pattern, output file name, and log level:

   [Paths]
   log_directories = test
   output_csv = extracted_user_codes.csv
   
   [Settings]
   file_pattern = .*\.log$
   
   [Logging]
   log_filename = log_user_extractor.log
   log_level = INFO

5. Run the script:

   python log_user_extractor.py

🤝 Contributing:

We welcome contributions to enhance Log User Extractor. To contribute:

1. 🍴 Fork the repository.
2. 🌿 Create a new branch.
3. 💾 Make your changes and commit them.
4. 🚀 Push to the branch.
5. 🔄 Create a new Pull Request.

We appreciate your help in making this project better for everyone!

📄 License:

This project is licensed under the MIT License - see the LICENSE file for details.

📝 Acknowledgments:

Special thanks to all the contributors who have helped in improving this project. Your efforts are highly valued!