acrilog 0.8.6

acrilog is a Python library of providing multiprocessing idiom to us in multiprocessing environment

Table of Contents

• Overview

• TimedSizedRotatingHandler

  • example

• MpLogger and LevelBasedFormatter

  • example

  • Example output

• Change History

• Next Steps

Overview

acrilog is a python library encapsulating multiprocessing logging into practical use.

acrilog started as Acrisel’s internal utility for programmers.

It included:

1. Time and size rotating handler.

2. Multiprocessing logging queue server

We decided to contribute this library to Python community as a token of appreciation to what this community enables us.

We hope that you will find this library useful and helpful as we find it.

If you have comments or insights, please don’t hesitate to contact us at [e-mail]

TimedSizedRotatingHandler

Use TimedSizedRotatingHandler is combining TimedRotatingFileHandler with RotatingFileHandler. Usage as handler with logging is as defined in Python’s logging how-to

example

import logging

# create logger
logger = logging.getLogger('simple_example')
logger.setLevel(logging.DEBUG)

# create console handler and set level to debug
ch = logging.TimedRotatingFileHandler()
ch.setLevel(logging.DEBUG)

# create formatter
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')

# add formatter to ch
ch.setFormatter(formatter)

# add ch to logger
logger.addHandler(ch)

# 'application' code
logger.debug('debug message')
logger.info('info message')
logger.warn('warn message')
logger.error('error message')
logger.critical('critical message')

MpLogger and LevelBasedFormatter

Multiprocessor logger using QueueListener and QueueHandler It uses TimedSizedRotatingHandler as its logging handler

It also uses acris provided LevelBasedFormatter which facilitate message formats based on record level. LevelBasedFormatter inherent from logging.Formatter and can be used as such in customized logging handlers.

example

Within main process

import time
import random
import logging
from acris import MpLogger
import os
import multiprocessing as mp

logger=logging.getLogger(__name__)

def subproc(limit=1):
    for i in range(limit):
        sleep_time=3/random.randint(1,10)
        time.sleep(sleep_time)
        logger.info("proc [%s]: %s/%s - sleep %4.4ssec" % (os.getpid(), i, limit, sleep_time))

level_formats={logging.DEBUG:"[ %(asctime)s ][ %(levelname)s ][ %(message)s ][ %(module)s.%(funcName)s(%(lineno)d) ]",
                'default':   "[ %(asctime)s ][ %(levelname)s ][ %(message)s ]",
                }

mplogger=MpLogger(logging_level=logging.DEBUG, level_formats=level_formats, datefmt='%Y-%m-%d,%H:%M:%S.%f')
mplogger.start()

logger.debug("starting sub processes")
procs=list()
for limit in [1, 1]:
    proc=mp.Process(target=subproc, args=(limit, ))
    procs.append(proc)
    proc.start()

for proc in procs:
    if proc:
        proc.join()

logger.debug("sub processes completed")

mplogger.stop()

Within individual process

import logging

logger=logging.getLogger(__name__)
logger.debug("logging from sub process")

Example output

[ 2016-12-19,11:39:44.953189 ][ DEBUG ][ starting sub processes ][ mplogger.<module>(45) ]
[ 2016-12-19,11:39:45.258794 ][ INFO ][ proc [932]: 0/1 - sleep  0.3sec ]
[ 2016-12-19,11:39:45.707914 ][ INFO ][ proc [931]: 0/1 - sleep 0.75sec ]
[ 2016-12-19,11:39:45.710487 ][ DEBUG ][ sub processes completed ][ mplogger.<module>(56) ]

Change History

N/A

Next Steps

1. Cluster support using TCP/IP

2. Logging monitor and alert