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README.md

logzero

Build status for master branch Documentation Status Latest version on PyPi Anaconda-Server Badge Downloads

Robust and effective logging for Python 2 and 3.

Logo

Features

  • Easy logging to console and/or (rotating) file.
  • Provides a fully configured standard Python logger object.
  • JSON logging (with integrated python-json-logger)
  • Pretty formatting, including level-specific colors in the console.
  • No dependencies
  • Windows color output supported by colorama
  • Robust against str/bytes encoding problems, works with all kinds of character encodings and special characters.
  • Multiple loggers can write to the same logfile (also across multiple Python files and processes).
  • Global default logger with logzero.logger and custom loggers with logzero.setup_logger(..).
  • Compatible with Python 2 and 3.
  • All contained in a single file.
  • Licensed under the MIT license.
  • Heavily inspired by the Tornado web framework.

Installation:

python -m pip install logzero

Example Usage

from logzero import logger

logger.debug("hello")
logger.info("info")
logger.warning("warn")
logger.error("error")

# This is how you'd log an exception
try:
    raise Exception("this is a demo exception")
except Exception as e:
    logger.exception(e)

# JSON logging
import logzero
logzero.json()

logger.info("JSON test")

# Start writing into a logfile
logzero.logfile("/tmp/logzero-demo.log")

This is the output:

demo-output

Note: You can find more examples in the documentation: https://logzero.readthedocs.io

JSON logging

JSON logging can be enabled for the default logger with logzero.json(), or with setup_logger(json=True) for custom loggers:

>>> logzero.json()
>>> logger.info("test")
{"asctime": "2020-10-21 10:42:45,808", "filename": "<stdin>", "funcName": "<module>", "levelname": "INFO", "levelno": 20, "lineno": 1, "module": "<stdin>", "message": "test", "name": "logzero_default", "pathname": "<stdin>", "process": 76179, "processName": "MainProcess", "threadName": "MainThread"}

>>> my_logger = setup_logger(json=True)
>>> my_logger.info("test")
{"asctime": "2020-10-21 10:42:45,808", "filename": "<stdin>", "funcName": "<module>", "levelname": "INFO", "levelno": 20, "lineno": 1, "module": "<stdin>", "message": "test", "name": "logzero_default", "pathname": "<stdin>", "process": 76179, "processName": "MainProcess", "threadName": "MainThread"}

The logged JSON object has these fields:

{
  "asctime": "2020-10-21 10:43:40,765",
  "filename": "test.py",
  "funcName": "test_this",
  "levelname": "INFO",
  "levelno": 20,
  "lineno": 9,
  "module": "test",
  "message": "info",
  "name": "logzero",
  "pathname": "_tests/test.py",
  "process": 76204,
  "processName": "MainProcess",
  "threadName": "MainThread"
}

Exceptions logged with logger.exception(e) have these additional JSON fields:

{
  "levelname": "ERROR",
  "levelno": 40,
  "message": "this is a demo exception",
  "exc_info": "Traceback (most recent call last):\n  File \"_tests/test.py\", line 15, in test_this\n    raise Exception(\"this is a demo exception\")\nException: this is a demo exception"
}

Take a look at the documentation for more information and examples:

Installation

Install logzero with pip:

python -m pip install logzero

Here's how you setup a virtualenv and download and run the demo:

# Create and activate a virtualenv in ./venv/
python3 -m venv venv
. venv/bin/activate

# Install logzero
python -m pip install logzero

# Download and run demo.py
wget https://raw.githubusercontent.com/metachris/logzero/master/examples/demo.py
python demo.py

If you don't have pip installed, this Python installation guide can guide you through the process.

Alternatively, if you use the Anaconda distribution:

$ conda config --add channels conda-forge
$ conda install logzero

You can also install logzero from the public Github repo:

$ git clone https://github.com/metachris/logzero.git
$ cd logzero
$ python setup.py install

Contributors


Development

Getting started

$ git clone https://github.com/metachris/logzero.git
$ cd logzero

# Activate virtualenv
$ python3 -m venv venv
$ . venv/bin/activate

# Install main and dev dependencies
$ pip install -e .
$ pip install -r requirements_dev.txt

# Run the tests
$ make test

# Run the linter
$ make lint

# Generate the docs (will auto-open in Chrome)
$ make docs

# You can enable watching mode to automatically rebuild on changes:
$ make servedocs

To test with Python 2.7, you can use Docker:

docker run --rm -it -v /Users/chris/stream/logzero:/mnt python:2.7 /bin/bash

Now you have a shell with the current directory mounted into /mnt/ inside the container.

Notes


Changelog

See the changelog here: https://github.com/metachris/logzero/blob/master/HISTORY.md

Feedback

All kinds of feedback and contributions are welcome.

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Simple and production-ready logging for Python 2 and 3.

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