Log-analyzer

Overview

• The application supports parsing and filtering log files in various formats; that are: JSON, combined log format, and common log format.
• Users can upload log files, which are securely processed and stored locally.
• The system provides dynamic filtering options for IP addresses, response statuses, response sizes, and URLs, enhancing the log analysis process.
• This project is designed for single-user use, ensuring data privacy and efficient local performance.

Features

• Upload log files in different formats (JSON, CLF, Combined)
• Parse and store log data in a SQLite3 database
• Filter logs based on parameters like IP address, response status, response size, and URL
• User-friendly interface for viewing and analyzing logs

Installation

Prerequisites

• Python 3.6 or higher
• SQLite3 (included with Python)
• Flask (included in requirements.txt)

Steps

1. Clone the repository:

   git clone https://github.com/your-username/log-analyzer.git
   cd log-analyzer

2. Run the setup script to install dependencies and create the database and tables:

   python setup.py

3. Go to file_uploading directory and start the application:

   cd file_uploading
   python main.py

4. Access the application: Open your web browser and go to http://127.0.0.1:5000.