lognflow 0.6.8

Log and Flow tracking made easy with Python

lognflow

Log and Flow tracking made easy with Python. You can install it by::

pip install lognflow

A simple program to use it would be similar to the following::

from lognflow import lognflow
import numpy as np
vec = np.random.rand(100)

logger = lognflow('c:\\test\\')
logger('This is a test for lognflow and log_var')
logger.log_single('vec', vec)

The logviewer is also very useful::

from lognflow import logviewer
logged = logviewer('c:\\test\\some_log\')
vec = logged.get_single('vec')

The printprogress makes a pretty nice progress bar::

from lognflow import printprogress
N = 100
pbar = printprogress(N)
for _ in range(N):
	# do_something()
	pbar()

In this package we use a folder on the HDD to generate files and folders in typical formats such as numpy npy and npz, png, ... to log. A log viewer is also availble to turn an already logged flow into variables. Obviously, it will read the folders and map them for you, which is something you could spend hours to do by yourself. Also there is the nicest progress bar, that you can easily understand and use or implement yourself when you have the time.

Looking at most logging packages online, you see that you need to spend a lot of time learning how to use them and realizing how they work. Especially when you have to deal with http servers and ... which will be a huge pain when working for companies who have their own HPC.

This is why lognflow is handy and straight forward.

Many tests are avialable in the tests directory.

• Free software: GNU General Public License v3
• Documentation: https://lognflow.readthedocs.io.

Features

• lognflow puts all the logs into a directory on your pc
• lognflow makes it easy to log text or simple plots.
• logviewer makes it easy to load variables or directories
• printprogress is one of the best progress bars in Python.

Credits ^^^^^^^^

This package was created with Cookiecutter_ and the audreyr/cookiecutter-pypackage_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter .. _audreyr/cookiecutter-pypackage: https://github.com/audreyr/cookiecutter-pypackage

History

0.1.0 (2022-11-16)

• First release on PyPI.

0.3.0 (2022-12-19)

• Very consistent and easy-to-handle interface

0.3.2 (2022-12-27)

• log your dictionary.

0.5.2 (2023-01-11)

• logger call takes txt only for the main_log
• main_log name can have no time_stamp
• All logs can be force_flush = True.
• del is well implemented.

0.5.3 (2023-03-19)

• use logger.log_single('aName', aDict) to save a dictionary using numpy.savez
• time_in_file_name has been changed to time_tag, sorry there! but early stages.
• time_tag is True in the constructor, but could always be set to False
• All tests passed!

0.6.0 (2023-03-22)

• This is a stable release
• All text files are handled by the with statement
• Renaming bug is fixed
• all tests run properly.
• lognflow has all that logviewer has. We will check if dir exists at every use

0.6.1 (2023-03-22)

• rename had a bug that is fixed

0.6.2 (2023-03-25)

• made it possible to flush_all()
• We support Python 3.7+ because of dataclasses
• printprogress now can disable printing anything and return ETA at the call

0.6.3 (2023-04-01)

• lognflow class does all logviewer does. Maybe it is time to remove logviewer.

0.6.4 (2023-04-06)

• Better documentation and examples for readme
• get_var is added to lognflow to get buffered variables logged by log_var

0.6.5 (2023-04-26)

• Fixed a bug in the docs to allow sphinx compile it.
• log_var will log only the valid time stamps.
• added end keyword argument to log_text

0.6.6 (2023-04-27)

• Better documentation
• added tifffile imread to logviewer and imwrite to lognflow

0.6.7 (2023-04-27)

• A bug in tifffile support was fixed

0.6.8 (2023-05-04)

• Fixing readme for PyPI.
• removed marker from log_plot. user marker and linestyle keyword arguments.
• printprogress returns proper ETA every time if print_function is set to None:: pBar = printprogress(N, print_function = None) for _ in range(N): ETA = pBar() print(f'ETA: {ETA}')