Enhanced Python logger with colorized output, TRACE/PROGRESS levels, UDP monitoring, file logging, and external config support via Loguru backend.
Project description
tracecolor
Enhanced Python logger with colorized output, TRACE/PROGRESS levels, UDP monitoring, and file logging. Powered by Loguru backend for superior performance and features.
Features
Core Features
- Custom TRACE logging level (lower than DEBUG)
- Custom PROGRESS logging level (between DEBUG and INFO)
- Colorized output for different log levels
- Rate-limiting for PROGRESS messages (once per second per call site)
- Simple and clean API
Enhanced Features
- Pure Loguru Backend: Superior performance and features
- UDP Remote Monitoring: Real-time log streaming with
tracecolor-monitorcommand - File Logging: Automatic rotation, compression, and retention
- Automatic Configuration: Auto-detects
.tracecolor,tracecolor.toml,tracecolor.yml,tracecolor.json - Multi-format Support: TOML/YAML/JSON configuration with automatic format detection
- Multiple Destinations: Simultaneous logging to console, file, and UDP
- Automatic Dependencies: Loguru installed automatically with pip install
- Console Script:
tracecolor-monitoravailable globally after installation - Enterprise Ready: Thread-safe, async support, production-grade
Installation
# Recommended
uv pip install tracecolor
# Or with pip
pip install tracecolor
This automatically installs:
loguru- Advanced logging backendcolorlog- Colorized console output
Optional Dependencies
# For YAML configuration support
uv pip install tracecolor[yaml]
# For development
uv pip install tracecolor[dev]
Usage
Basic Usage
from tracecolor import tracecolor
# Create a logger
logger = tracecolor(__name__)
# Log at different levels
logger.trace("Detailed tracing information")
logger.debug("Debugging information")
logger.progress("Progress update information (rate-limited)")
logger.info("General information")
logger.warning("Warning message")
logger.error("Error message")
logger.critical("Critical error")
Enhanced Usage (v0.6.0 Features)
from tracecolor import tracecolor
# Standard usage now automatically uses Loguru backend if available
logger = tracecolor(__name__) # Now powered by Loguru!
logger.info("Better performance, same API")
# Enhanced features explicitly enabled
logger = tracecolor(
name=__name__,
enable_console=True, # Console output (same as original)
enable_udp=True, # UDP remote monitoring
enable_file=True, # File logging with rotation
log_dir="./logs", # Log directory
udp_host="127.0.0.1", # UDP monitoring host
udp_port=9999 # UDP monitoring port
)
# Same API as original tracecolor
logger.info("This message goes to console, file, AND UDP socket")
logger.progress("Progress messages still rate-limited, now with enterprise backend")
# Alternative: convenience function (same result)
from tracecolor import create_enhanced_logger
logger = create_enhanced_logger(__name__, enable_udp=True, enable_file=True, log_dir="logs")
# Monitor logs in real-time (separate terminal)
# tracecolor-monitor
# or: python -m tracecolor.monitor
External Configuration
Automatic Config Detection
Tracecolor automatically looks for standard config files in the current directory:
.tracecolor(auto-detects format: TOML/YAML/JSON - first priority)tracecolor.toml(TOML config)tracecolor.yml(YAML config)tracecolor.yaml(YAML alternate)tracecolor.json(JSON config)
# Just create .tracecolor in your project directory (any format)
from tracecolor import tracecolor
logger = tracecolor(__name__) # Automatically finds and parses .tracecolor
The .tracecolor file automatically detects its format, so you can use TOML, YAML, or JSON - whatever you prefer!
Manual Config File
# Create custom_config.yml
logger = tracecolor(__name__, config_file="custom_config.yml")
Config File Formats
.tracecolor supports all formats - auto-detected!
TOML format:
# TraceColor Configuration
[udp]
enabled = true
host = "127.0.0.1"
port = 9999
[console]
enabled = true
level = "TRACE"
[file]
enabled = false
dir = "./logs"
YAML:
log_level: TRACE
use_udp: true
udp_host: 127.0.0.1
udp_port: 9999
enable_console: true
enable_file: true
log_dir: "./logs"
JSON:
{
"log_level": "TRACE",
"use_udp": true,
"udp_host": "127.0.0.1",
"udp_port": 9999,
"enable_console": true,
"enable_file": true,
"log_dir": "./logs"
}
UDP Remote Monitoring
Monitor logs in real-time from any application using enhanced features:
# Terminal 1: Run your application with UDP logging
python your_app.py
# Terminal 2: Monitor logs in real-time
python -m tracecolor.monitor
# Or specify host/port
python -m tracecolor.monitor --host 0.0.0.0 --port 8888
# Legacy format also supported
python tracecolor/monitor.py listen 192.168.1.100 9999
The monitor displays formatted output with timestamps, log levels, and messages in real-time.
Migration Guide
From v0.5.0 to v0.6.0
Step 1: Update package (existing code continues to work)
uv pip install --upgrade tracecolor
Step 2: Install enhanced dependencies (optional)
uv pip install tracecolor[enhanced]
Step 3: Optionally enable enhanced features where needed
# Before (still works, now with Loguru backend!)
from tracecolor import tracecolor
logger = tracecolor(__name__) # Automatically uses Loguru if available
# Enhanced features when needed
logger = tracecolor(__name__, enable_udp=True, enable_file=True, log_dir="logs")
Step 4: Add external configuration as projects mature
# Automatic config detection (looks for tracecolor.yml, tracecolor.yaml, tracecolor.json)
logger = tracecolor(__name__) # Auto-detects config files
# Or specify custom config file
logger = tracecolor(__name__, config_file="custom_config.yml")
Color Scheme
- TRACE: Gray (bold black)
- DEBUG: Cyan
- PROGRESS: Blue
- INFO: Green
- WARNING: Yellow
- ERROR: Red
- CRITICAL: Bold Red
Examples
See the examples/ directory for comprehensive usage examples:
basic_usage.py- Original v0.5.0 functionalityenhanced_features.py- New v0.6.0 features and migration guide
License
MIT
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