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bosos-dev-tools

Dev Tools is a collection of utility tools for Python developers, designed to simplify debugging, logging, and monitoring tasks. This package includes custom logging handlers, decorators for measuring execution time, and a progress bar utility to enhance the development workflow.

  • 0.1.4
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Bosos Dev Tools

Python Versions Platform PypI Versions PyPI status Github Actions Test and Publish Status codecov License

Bosos Dev Tools is a collection of utility tools for Python developers, designed to simplify debugging, logging, and monitoring tasks. This package includes custom logging handlers, decorators for measuring execution time, and a progress bar utility to enhance the development workflow.

Features

  • Custom Logging Handlers: Log messages to various destinations, including databases, with customizable formats.
  • Timing Decorators: Easily measure the execution time of your functions with minimal code changes.
  • Progress Bar Utility: Visualize the progress of long-running operations in the console.
  • Debug Tools: Check if debug or timing modes are enabled via environment variables.

Installation

You can install the package via pip:

pip install bosos-dev-tools

Usage

Custom Logging Handler

The LogDBHandler allows you to log messages directly to a database.

import logging
from dev_tools.custom_handlers import LogDBHandler

logger = logging.getLogger('test_logger')
db_handler = LogDBHandler(db_table='test_table')
logger.addHandler(db_handler)
logger.setLevel(logging.INFO)

logger.info('This is a test log message.')

Timing Decorator

Use the timing_decorator to measure the execution time of functions.

from dev_tools.custom_decorators import timing_decorator

@timing_decorator
def example_function():
    for i in range(1000000):
        pass

example_function()

Progress Bar

Use the progress_bar to measure the execution time of functions.

from dev_tools.progress_bar import progress_bar

for item in progress_bar(range(10)):
    pass

Debug Tools

Check if debug or timing modes are enabled via environment variables. Use the logger_setup to set up your logging settings at the beginning of the script.

from dev_tools.debug_tools import is_debug_on, is_timing_on

print('Is debug on:', is_debug_on())
print('Is timing on:', is_timing_on())
from dev_tools.debug_tools import logger_setup

def main():
    logger_setup()

if __name__ == '__main__':
    main()

License

This project is licensed under the MIT License. See the LICENSE file for more details.

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