Apache Log Report Generator

This Python script generates a detailed, multi-format report from Apache HTTP server log files. Designed to provide insights into server activity, it processes access and error logs from a specified directory and produces an HTML and PDF report with key statistics, charts, and monthly breakdowns.

Features

• Flexible Directory Selection: Choose the directory of log files, with /var/log/httpd/ as the default.
• Comprehensive Access Log Parsing: Extracts IP addresses, URLs, methods, status codes, and user agents from access logs.
• Error Log Analysis: Identifies error levels and frequencies to understand server issues.
• Detailed Summary Statistics: Calculates total requests, unique visitors, top URLs, and user agents.
• Chart Generation:
  • Request frequency over time
  • HTTP status distribution
  • Top requested URLs
  • Frequent IP addresses
  • Error levels and messages
• Monthly Reports: Generates individual HTML and PDF reports for each month with detailed logs and charts.
• HTML and PDF Output: Creates a visually appealing HTML report with linked monthly summaries and a complete PDF report.

Requirements

• Python 3.x
• matplotlib for chart generation
• weasyprint for PDF generation
• Apache log files located in the default directory or custom path

Usage

1. Clone this repository.
2. Install the required packages:

   pip install matplotlib weasyprint