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happy-python-logging

Make practical Python logging easy.

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Installation

pip install happy-python-logging

Usage

For library developers

getLoggerForLibrary()

happy_python_logging.getLoggerForLibrary()

-import logging
+from happy_python_logging import getLoggerForLibrary

-logger = logging.getLogger(__name__)
-logger.addHandler(logging.NullHandler())
+logger = getLoggerForLibrary(__name__)

See example for detail.

OrFilter

happy_python_logging.lib.filters.OrFilter

import logging

from happy_python_logging.lib.filters import OrFilter

root_logger = logging.getLogger()
root_logger.setLevel(logging.DEBUG)
stream_handler = logging.StreamHandler()
stream_handler.addFilter(OrFilter("libA", "libB"))
root_logger.addHandler(stream_handler)
DEBUG | libA:libA_awesome:8 - awesome
DEBUG | libB:libB_fabulous:12 - fabulous

You can combine OrFilter with logging.Filter using the | operator:

OrFilter("libA", "libB") | logging.Filter("app.important")
# reverse order also supported

CLI: happy-python-logging run (experimental)

Run any Python script with quick library-level logging — RUST_LOG style:

$ happy-python-logging run example_script.py --log-config httpx=debug

Multiple loggers can be set at once, comma-separated:

$ happy-python-logging run example_script.py --log-config httpx=debug,urllib3=info

The same spec can be supplied via the PYTHON_LOG environment variable:

$ PYTHON_LOG=httpx=debug happy-python-logging run example_script.py

A bare level (e.g. --log-config debug) sets the root logger. The StreamHandler (stderr) and Formatter are fixed — the goal is to get library logs onto the console with one flag.

License

happy-python-logging is distributed under the terms of the MIT license.

Metadata

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