Robust and effective logging for Python 2 and 3.

Overview

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")

# Set a minimum loglevel
logzero.loglevel(logzero.WARNING)

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:

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

logo

Owner
Chris Hager
Hacker, Maker, Engineer
Chris Hager
APT-Hunter is Threat Hunting tool for windows event logs

APT-Hunter is Threat Hunting tool for windows event logs which made by purple team mindset to provide detect APT movements hidden in the sea of windows event logs to decrease the time to uncover susp

824 Jan 08, 2023
Logging system for the TPC software.

tpc_logger Logging system for the TPC software. The TPC Logger class provides a singleton for logging information within C++ code or in the python API

UC Davis Machine Learning 1 Jan 10, 2022
ClusterMonitor - a very simple python script which monitors and records the CPU and RAM consumption of submitted cluster jobs

ClusterMonitor A very simple python script which monitors and records the CPU and RAM consumption of submitted cluster jobs. Usage To start recording

23 Oct 04, 2021
Python script to scan log files/system for unauthorized access around system

checkLogs Python script to scan log files/system for unauthorized access around Linux systems Table of contents General info Getting started Usage Gen

James Kelly 1 Feb 25, 2022
A simple, transparent, open-source key logger, written in Python, for tracking your own key-usage statistics.

A simple, transparent, open-source key logger, written in Python, for tracking your own key-usage statistics, originally intended for keyboard layout optimization.

Ga68 56 Jan 03, 2023
A Python library that tees the standard output & standard error from the current process to files on disk, while preserving terminal semantics

A Python library that tees the standard output & standard error from the current process to files on disk, while preserving terminal semantics (so breakpoint(), etc work as normal)

Greg Brockman 7 Nov 30, 2022
A small utility to pretty-print Python tracebacks. ⛺

TBVaccine TBVaccine is a utility that pretty-prints Python tracebacks. It automatically highlights lines you care about and deemphasizes lines you don

Stavros Korokithakis 365 Nov 11, 2022
Espion is a mini-keylogger tool that keeps track of all keys a user presses on his/her keyboard

Espion is a mini-keylogger tool that keeps track of all keys a user presses on his/her keyboard. The details get displayed on the terminal window and also stored in a log file.

Anurag.R.Simha 1 Apr 24, 2022
Monitor creation, deletion and changes to LDAP objects live during your pentest or system administration!

LDAP Monitor Monitor creation, deletion and changes to LDAP objects live during your pentest or system administration! With this tool you can quickly

Podalirius 500 Dec 28, 2022
loghandler allows you to easily log messages to multiple endpoints.

loghandler loghandler allows you to easily log messages to multiple endpoints. Using Install loghandler via pip pip install loghandler In your code im

Mathias V. Nielsen 2 Dec 04, 2021
Colored terminal output for Python's logging module

coloredlogs: Colored terminal output for Python's logging module The coloredlogs package enables colored terminal output for Python's logging module.

Peter Odding 496 Dec 30, 2022
metovlogs is a very simple logging library

metovlogs is a very simple logging library. Setup is one line, then you can use it as a drop-in print replacement. Sane and useful log format out of the box. Best for small or early projects.

Azat Akhmetov 1 Mar 01, 2022
Lazy Profiler is a simple utility to collect CPU, GPU, RAM and GPU Memory stats while the program is running.

lazyprofiler Lazy Profiler is a simple utility to collect CPU, GPU, RAM and GPU Memory stats while the program is running. Installation Use the packag

Shankar Rao Pandala 28 Dec 09, 2022
Stand-alone parser for User Access Logging from Server 2012 and newer systems

KStrike Stand-alone parser for User Access Logging from Server 2012 and newer systems BriMor Labs KStrike This script will parse data from the User Ac

BriMor Labs 69 Nov 01, 2022
dash-manufacture-spc-dashboard is a dashboard for monitoring read-time process quality along manufacture production line

In our solution based on plotly, dash and influxdb, the user will firstly generate the specifications for different robots, and then a wide range of interactive visualizations for different machines

Dequn Teng 1 Feb 13, 2022
A watchdog and logger to Discord for hosting ScPrime servers.

ScpDog A watchdog and logger to Discord for hosting ScPrime servers. Designed to work on Linux servers. This is only capable of sending the logs from

Keagan Landfried 3 Jan 10, 2022
Monitoring plugin to check disk io with Icinga, Nagios and other compatible monitoring solutions

check_disk_io - Monitor disk io This is a monitoring plugin for Icinga, Nagios and other compatible monitoring solutions to check the disk io. It uses

DinoTools 3 Nov 15, 2022
Simple and versatile logging library for python 3.6 above

Simple and versatile logging library for python 3.6 above

Miguel 1 Nov 23, 2022
Fancy console logger and wise assistant within your python projects

Fancy console logger and wise assistant within your python projects. Made to save tons of hours for common routines.

BoB 5 Apr 01, 2022
Yaml - Loggers are like print() statements

Upgrade your print statements Loggers are like print() statements except they also include loads of other metadata: timestamp msg (same as print!) arg

isaac peterson 38 Jul 20, 2022