Skip to main content

Nicer python logging in one line

Project description

Logquicky

Nicer python logging in one line

The python logging package from the standard library is awesome and its certainly much better than sprinkling print() statement all over your code. However, even hough setting it up takes just a few lines of code, configuring it to make it look nice across projects, just adds up to doing the same thing over and over.

Therefore, I created logquicky.

Because this is basically just a very simple configuration on the logging module, which also makes it very easy to fall back to it once you decide your project needs more advanced functionalities. However, it hopes to save you some time when quickly building scripts or when getting started in a new project.

Finally, this is also my first (hopefully useful) little OpenSource contribution up on PyPI, so I figured it would be a good exercise.

Features

  • Colored log levels make it easy to identify different levels.
  • Pre-configured formatting of log lines,
  • Optional logging to a log file,
  • Ability to rewrite lines for nicer progress bars etc.
  • Based on Python's logging module.

Installation

pip install logquicky

Notes

logquicky is supported for python 3.6+ (due to usage of f-strings)

How to use

Basic example

import logquicky

# Add this line to create your logger.
log = logquicky.load('my-logger')

# Start logging!
log.info("This is a log message")

See how it looks in action

simple.svg

Logging from multiple files

#!/usr/bin/env python
# --- example2.py ---
import logquicky
import other_file

# Creates a new logger and returns it.
log = logquicky.load('my-logger')

log.info("I can log from here...")
# --- example2_other_file.py ---
import logquicky

log = logquicky.load('my-logger')

def run():
  log.info("And from here as well!")

Result:

2019-02-28 12:16:56 my-logger [INFO] I can log from here...
2019-02-28 12:16:56 my-logger [INFO] And from here as well!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

logquicky-0.0.6.tar.gz (4.6 kB view details)

Uploaded Source

Built Distribution

logquicky-0.0.6-py3-none-any.whl (17.1 kB view details)

Uploaded Python 3

File details

Details for the file logquicky-0.0.6.tar.gz.

File metadata

  • Download URL: logquicky-0.0.6.tar.gz
  • Upload date:
  • Size: 4.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/54.1.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8

File hashes

Hashes for logquicky-0.0.6.tar.gz
Algorithm Hash digest
SHA256 dde66e590113bae0bdcd656f087d39a6d84c7ffc7fe0f4d1b273760bbacf0aeb
MD5 16c423315ac265b44409f8431fcfd265
BLAKE2b-256 ba66d3973e85faa9766176659eaea2b905f56e82441bea9cbfa837b3ec4babbf

See more details on using hashes here.

File details

Details for the file logquicky-0.0.6-py3-none-any.whl.

File metadata

  • Download URL: logquicky-0.0.6-py3-none-any.whl
  • Upload date:
  • Size: 17.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/54.1.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8

File hashes

Hashes for logquicky-0.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 51fead659abb1a5d90281cb27a508cce404e1aa82223a02486805f17cdf55109
MD5 ccae88a36054601d3bb86a652cde6a02
BLAKE2b-256 9eff8f8e95c58116591662bac6981f3f9bfd7f4bedd7ddf5364b46b0597f3ca2

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page