handsome-log 0.1.1

Universal logger with custom levels for ETL and automation processes.

handsome_log

handsome_log is a universal logger designed for ETL pipelines, automation tasks, and web scraping scripts in Python.

This library is built on top of Python's standard logging module and the excellent colorlog package. Full credit and gratitude go to the developers of those foundational libraries.

The main goal of handsome_log is to provide custom log levels that make it easier to structure and monitor all stages of your data processes. These levels help you track your pipeline with meaningful, semantically distinct messages.

By default, the following custom levels are included:

Level	When to Use	Color
STARTUP	When initializing or starting a process	Bold Blue
VALIDATION	When validating data, schema, or credentials	Blue
DRY_RUN	For simulation runs that don't commit any changes	Purple
SUCCESS	When a process completes successfully	Bold Green
INFO	For general runtime information	Green
WARNING	When something unexpected happens, but the process continues	Yellow
ERROR	When a failure occurs but the system stays alive	Red
CRITICAL	When a critical error occurs and the process halts	Bold Red
DEBUG	For detailed technical/debugging messages	Cyan

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Installation

Install via pip:

pip install handsome_log

Features

Normal logging with colors

Normal logging without colors

For loop logging

Usage

To import and use the library you can use:

#import
from handsome_log import get_logger 

#create logger object
logger = get_logger(__name__)

#testing different logging levels
logger.startup("Startup Script")
logger.info("General Info")
logger.validation("Validation Logging")
logger.dry_run("TEST RUN")
logger.success("Success information")
logger.warning("Warning")
logger.error("Error")
logger.critical("Critical Error")