Log Reducer

Log Reducer is a Python tool designed to parse and reduce log files based on keywords or IP addresses. It organizes log entries into separate files, making it easier to analyze and manage log data.

Features

• Parse log files and extract lines based on specified keywords or IP addresses.
• Organize log entries into separate files for each keyword or IP address.
• Generate global log files containing all matched lines for both keywords and IP addresses.
• Supports recursive processing of log files within a specified folder.

Getting Started

Prerequisites

• Python 3.x
• (Optional) Virtual environment for isolating dependencies

Installation

1. Clone the repository:

   git clone https://github.com/Abdou0xdz/logReducer.git

2. Navigate to the project folder:

   cd logReducer

3. (Optional) Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

4. Install dependencies:

   pip install -r requirements.txt

Usage

python log_reducer.py log_folder output_folder -k keyword1 keyword2 -ip 192.168.1.1 10.0.0.1

Replace log_folder with the path to the folder containing your log files and output_folder with the desired output directory.

• Use the -k option followed by keywords to filter logs based on keywords.
• Use the -ip option followed by IP addresses to filter logs based on IP addresses.

Example with keyword file and IP file:

python log_reducer.py log_folder output_folder -kf keyword_file.txt -ipf ip_file.txt

Options

• -k, --keywords: Keyword(s) to filter logs.
• -kf, --keyword_file: File containing a list of keywords.
• -ip, --ip_addresses: IP address(es) pattern to filter logs.
• -ipf, --ip_file: File containing a list of IP addresses.
• --skip-reserved: Skip reserved and local IP addresses.

Contributing

Contributions are welcome! Please follow the Contribution Guidelines.

License

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