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Simple logging tool. Write to console and to file in one step.

Project description

Dagwood 🥪

Dagwood is a simple logging tool that lets you setup logging to file and to console in one step.

Why "Dagwood"? Because a.) I was eating a sandwich when I decided to write this package, and b.) the name was available on PyPI.

Usage

To install Dagwood, run:

pip install dagwood

Basic Usage

To quickly set up a logger:

import dagwood
logger = dagwood.assemble()

This will create a logger with default settings: log level set to INFO and log messages formatted as '%(asctime)s - %(levelname)s - %(message)s'. Logs will be written to a folder named logs.

Advanced Usage

You can customize the log folder, log file name, log level, and log format by passing optional parameters to assemble.

  • folder_name: The name of the folder to store log files (default: 'logs')
  • file_name: The name of the log file (default: None, which generates a log file with a timestamp)
  • level: The log level (default: logging.INFO)
  • format: The log format (default: '%(asctime)s - %(levelname)s - %(message)s')
logger = dagwood.assemble(folder_name='my_logs', file_name='app.log', level=logging.DEBUG, format='%(levelname)s - %(message)s')

Contributing

Feel free to open an issue or submit a pull request.

To publish a new version to PyPI:

pip install twine # if you don't have it already
python setup.py sdist bdist_wheel # build the package
twine upload dist/* # upload to PyPI

Development

Running Tests

The test suite can be run using Python's built-in unittest framework.

Navigate to the tests directory and run:

python -m unittest test_dagwood.py

Or, if you're in the root directory:

python -m unittest tests/test_dagwood.py

Project details


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