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.
git clone https://github.com/ELTE-DH/webarticlecurator.git- Run
make
On Windows or without Make (after cloning the repository):
poetry install --no-rootpoetry buildpoetry 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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