HTML Logger

A Python library for generating HTML logs with support for colors, file rotation, tagging, and JavaScript filters.

Features

• ✅ Colored logs in HTML format
• ✅ Automatic file rotation
• ✅ Clean interface with integrated JavaScript filters
• ✅ Thread-safe and high performance
• ✅ Exception support with full traceback
• ✅ Flexible configuration for file size and quantity
• ✅ Tagging system for message categorization
• ✅ Advanced filtering by tags and text content
• ✅ Default color mapping for specific tags

Installation

pip install py-html-logger

Basic Usage

from loghtml import log, error, report_exception

# Simple messages
log("Normal informative message")
log("Blue message", color="blue")

# Error messages
error("This is an error message")

# Log exceptions
try:
    # Your code here
    raise ValueError("Example error")
except Exception as e:
    report_exception(e)

Enhanced Tagging System

The logger supports tagging messages for better organization and filtering:

from loghtml import log, info, debug, warning

# Tagged messages
log("User login", tag="auth")
info("Data processed", tag="processing")
debug("Variable value", tag="debug")
warning("Resource low", tag="system")

Setting Default Tag Colors

You can define default colors for specific tags:

from loghtml import set_default_tag_color

default_tag_colors = {
    "database": "LightGrey",
    "connection": "LightBlue",
    "heartbeat": "Yellow"
}
set_default_tag_color(default_tag_colors)

Configuration

from loghtml import config

# Customize logger settings
config(
    max_files=15,           # Maximum number of log files
    max_size=5000000,       # Maximum size per file (5MB)
    main_filename="log.html", # Main file name
    log_dir="logs"          # Directory for logs
)

File Structure

Logs are stored in the specified directory (default: logs/) with the following structure:

logs/
└── log.html (current file)
└── 2023-10-05_12-30-45_log.html (rotated file)
└── 2023-10-05_10-15-32_log.html (rotated file)

Integrated JavaScript Filters

Generated HTML files include advanced filtering capabilities to facilitate analysis:

• Text filtering with AND/OR logic
• Tag-based filtering
• Time period filtering
• Real-time highlighting of matched terms
• Preserved original log view

Complete Example

from loghtml import log, info, debug, warning, error, report_exception, config, set_default_tag_color

# Configure logger
config(
    max_files=10,
    max_size=2000000,  # 2MB
    log_dir="my_logs"
)

# Set default tag colors
default_tag_colors = {
    "system": "green",
    "processing": "cyan",
    "checkpoint": "magenta"
}
set_default_tag_color(default_tag_colors)

# Log with different tags and levels
log("Application started", tag="system")
info("Loading configuration", tag="config")
debug("Initializing modules", tag="debug")

for i in range(100):
    if i % 10 == 0:
        log(f"Checkpoint {i}", tag="checkpoint")
    info(f"Processing item {i}", tag="processing")

try:
    # Code that might raise an error
    result = 10 / 0
except Exception as e:
    error("Division by zero detected")
    report_exception(e)

log("Application finished", tag="system")

API Reference

log(message, color=None, tag="log")

Logs a message with optional color and tag(s).

info(message, color=None, tag="info")

Logs an informational message.

debug(message, color=None, tag="debug")

Logs a debug message.

warning(message, color=None, tag="warning")

Logs a warning message.

error(message, tag="error")

Logs an error message (in red).

report_exception(exc, timeout=None)

Logs an exception with its full traceback.

config(**kwargs)

Configures logger options:

• max_files: Maximum number of files to maintain
• max_size: Maximum size in bytes per file
• main_filename: Main log file name
• log_dir: Directory where logs will be stored

set_default_tag_color(color_dict)

Sets default colors for specific tags:

• color_dict: Dictionary mapping tag names to color values

flush()

Processes all pending messages before termination.

Development

To contribute to the project:

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Support

If you encounter issues or have questions:

1. Check the documentation
2. Open an issue
3. Contact: rphspires@gmail.com

License

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

Acknowledgments

• Developed by Raphael Pires
• Inspired by the need for better log visualization and analysis tools