pylogd 0.2

logging

To log to logd using the python logging module, create a new handler with your logd server’s host and port and then set it up as your default logging handler:

from pylogd.handlers import PylogdHandler
handler = PylogdHandler('mylogpath.log', '127.0.0.1', 8126)
logger = logging.getLogger()
logger.setHandler(handler)

Now, subsequent calls to logger.(error|warn|etc) will log to your logd server. If you do this on the root logger (getLogger('base')), it will apply to all subsequently created loggers.

To delete a log, use pylogd.delete_log with the host and port of logd:

from pylogd import delete_log
delete_log('mylogpath.log', host='127.0.0.1', 8126)

stats

To use stats, create a stats handle:

from pylogd.stats import Logd
stats = Logd('127.0.0.1', 8126)

You can also supply an optional prefix which will be prepended to all of your stats, so that multiple applications can use the same logd/graphite server without having to repeate their per-app key for every stats call.

Once you have a Logd object, you can increment & decrment counters (with an optional sample rate):

stats.increment('my.counter')
stats.change_by('my.counter', 10)
stats.decrement('my.counter', 0.05) # only update 5% of the time

You can also set the value of a meter:

stats.set('my.meter', 30)
stats.set('my.meter', 30, 0.25) # only set 25% of the time

There’s a basic time interface as well as a convenient timer interface:

stats.time('my.timer', 11.43) # time manually

# automatically start & stop a timer
stats.timer.start('my.timer')
do_some_timed_operation()
stats.timer.stop('my.timer')

# time this function with a 10% sample rate
@stats.timed('my.long_operation', 0.1)
def long_operation():
    pass

# accumulate time done doing various similar tasks
stats.timer.start_accumulator('timers.mysql')
do_some_mysql_stuff()
stats.timer.stop_accumulator('timers.mysql')
non_mysql_things()
stats.timer.start_accumulator('timers.mysql')
do_some_more_mysql_stuff()
stats.timer.stop_accumulator('timers.mysql')

# send this timing information to logd
stats.timer.flush_accumulator('timers.mysql')