Multi-processing capable print-like logger for Python

Related tags

LoggingMPLogger
Overview

MPLogger

Multi-processing capable print-like logger for Python

Requirements and Installation

Python 3.8+ is required

Pip

pip install mplogger

Manual

Poetry and (optionally) GNU Make are required.

  1. git clone https://github.com/ELTE-DH/webarticlecurator.git
  2. Run make

On Windows or without Make (after cloning the repository):

  1. poetry install --no-root
  2. poetry build
  3. poetry run pip install --upgrade dist/*.whl (the correct filename must be specified on Windows)

Usage

Single-process

from MLPlogger import Logger

# Initialize logger (default: STDERR only with INFO level)
logger = Logger(log_filename, logfile_mode, logfile_encoding, logfile_level, console_stream, console_level, console_format, file_format)

logger.log('INFO', 'First argument log level as string')
logger.log('WARNING', 'THIS IS A WARNING!', 'In multiple lines', 'just like print()', sep='\n')
logger.log('CRITICAL', 'Can also set line endings!', end='\r\n')

Multi-process

from itertools import repeat
from multiprocessing import Pool, Manager, current_process

from MLPlogger import Logger

def worker_process(par):
    state, lq = par
    retl = []
    for n in range(100):
        lq.log('WARNING', f'{current_process().name} message{state} {n}')
    lq.log('WARNING', f'{current_process().name} finished')
    return retl

log_obj = Logger('test.log', 'w')  # Apply all parameters for logger here!
log_obj.log('INFO', 'NORMAL LOG BEGIN')  # Normal logging
with Manager() as man:
    log_queue = man.Queue()
    with log_obj.init_mp_logging_context(log_queue) as mplogger, Pool() as p:
        # Here one can log parallel from all processes!
        return_queue = p.imap(worker_process, zip(range(10), repeat(mplogger)), chunksize=3)
        for _ in return_queue:
            pass
log_obj.log('INFO', 'NORMAL LOG END')  # Normal logging

Licence

This project is licensed under the terms of the GNU LGPL 3.0 license.

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Comments
  • Fix package name in examples

    Fix package name in examples

    The package name on PyPI and in the installation instruction is mplogger but in the examples it is MLPlogger. It seems that the latter one is the typo.

    opened by sunarch 0
Owner
Eötvös Loránd University Department of Digital Humanities
National Laboratory for Digital Heritage
Eötvös Loránd University Department of Digital Humanities
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