How to use the ratelimitingfilter.RateLimitingFilter function in ratelimitingfilter

To help you get started, we’ve selected a few ratelimitingfilter examples, based on popular ways it is used in public projects.

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github yahoo / panoptes / yahoo_panoptes / framework / configuration_manager.py View on Github external
self._logger.info('Logging configuration file: ' + log_config_file)

        try:
            logging.config.fileConfig(log_config_file)
        except Exception:
            exc_type, exc_value, exc_traceback = sys.exc_info()
            traceback.print_exception(exc_type, exc_value, exc_traceback, limit=2, file=sys.stderr)
            raise PanoptesConfigurationError(
                    'Could not instantiate logger with logging configuration provided in file "%s": (%s) %s' % (
                        log_config_file, exc_type, exc_value))

        # Create a filter to rate limit logs so that a misconfiguration or failure does not make the disk I/O go
        # beserk or fill up the disk space. We do this in code instead if configuration for two reasons:
        # - It enforces a filter on every handler, so no chance of messing them up in configuration
        # - We use fileConfig (nof dictConfig) to setup our logging and fileConfig does not support filter configuration
        throttle = RateLimitingFilter(rate=config['log']['rate'], per=config['log']['per'],
                                      burst=config['log']['burst'])

        # Apply the filter to all handlers. Note that this would be a shared filter across ALL logs generated by this
        # process and thus the rate/burst should be set appropriately high
        for handler in logging._handlerList:
            # _handlerList is a list of weakrefs, so the object returned has to be dereferenced
            handler().addFilter(throttle)
github wkeeling / ratelimitingfilter / examples / smtp_example.py View on Github external
import logging.handlers
import time

from ratelimitingfilter import RateLimitingFilter

logger = logging.getLogger('throttled_smtp_example')

# Create an SMTPHandler
smtp = logging.handlers.SMTPHandler(mailhost='relay.somehost.net',
                                    fromaddr='will@mailinator.com',
                                    toaddrs='will@mailinator.com',
                                    subject='An error has occurred')
smtp.setLevel(logging.ERROR)

# Create an instance of the RateLimitingFilter, and add it to the handler
throttle = RateLimitingFilter()
smtp.addFilter(throttle)

# Create a formatter and set it on the handler
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
smtp.setFormatter(formatter)

# Add the handler to the logger
logger.addHandler(smtp)

# Logged errors will now be restricted to 1 every 30 seconds
while True:
    logger.error('An error message')
    time.sleep(2)
github abrt / faf / src / webfaf / webfaf_main.py View on Github external
if not app.debug:
    credentials = None
    if app.config['MAIL_USERNAME'] or app.config['MAIL_PASSWORD']:
        credentials = (app.config['MAIL_USERNAME'],
                       app.config['MAIL_PASSWORD'])

    mail_handler = SMTPHandler(
        (app.config['MAIL_SERVER'],
         app.config['MAIL_PORT']),
        app.config['MAIL_FROM'],
        app.config['ADMINS'],
        'webfaf exception', credentials)

    mail_handler.setLevel(logging.ERROR)
    rate_limiter = RateLimitingFilter(app.config['THROTTLING_RATE'],
                                      app.config['THROTTLING_TIMEFRAME'],
                                      app.config['THROTTLING_BURST'])

    mail_handler.addFilter(rate_limiter)
    app.logger.addHandler(mail_handler) # pylint: disable=no-member


@app.errorhandler(403)
def forbidden(_):
    return flask.render_template("403.html"), 403


@app.errorhandler(404)
def not_found(_):
    return flask.render_template("404.html"), 404
github wkeeling / ratelimitingfilter / examples / console_example.py View on Github external
from ratelimitingfilter import RateLimitingFilter


logger = logging.getLogger('console_example')
logger.setLevel(logging.DEBUG)

# Create a console handler
ch = logging.StreamHandler()
ch.setLevel(logging.DEBUG)
ch.setFormatter(logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s'))
logger.addHandler(ch)

# Create a rate limiting filter and add it to the console handler.
# We limit the throughput to 1 record per second, allowing a burst of 3.
throttle = RateLimitingFilter(rate=1, per=1, burst=3)
ch.addFilter(throttle)

for i in range(31):
    # This attempts to log 31 messages in a little over 3 seconds. The messages are equally
    # spaced with 1/10 second between them. This allows the first 3 messages through in the
    # first second based on the burst, and then just 1 message in the 2nd, 3rd and 4th seconds,
    # based on the 1 per second rate, which totals 6.
    logger.debug('This is message {0}'.format(i))
    time.sleep(0.1)

ratelimitingfilter

A rate limiting filter for the Python logging system

MIT
Latest version published 3 years ago

Package Health Score

49 / 100
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