# -*- coding: utf-8 -*- from __future__ import absolute_import import hashlib from time import sleep, time from django.conf import settings def statsd_key(val, clean_periods=False): if not isinstance(val, str): val = str(val) if ':' in val: val = val.split(':')[0] val = val.replace('-', "_") if clean_periods: val = val.replace('.', '_') return val class StatsDWrapper(object): """Transparently either submit metrics to statsd or do nothing without erroring out""" # Backported support for gauge deltas # as our statsd server supports them but supporting # pystatsd is not released yet def _our_gauge(self, stat, value, rate=1, delta=False): """Set a gauge value.""" from django_statsd.clients import statsd if delta: value = '%+g|g' % value else: value = '%g|g' % value statsd._send(stat, value, rate) def __getattr__(self, name): # Hand off to statsd if we have it enabled # otherwise do nothing if name in ['timer', 'timing', 'incr', 'decr', 'gauge']: if settings.USING_STATSD: from django_statsd.clients import statsd if name == 'gauge': return self._our_gauge else: return getattr(statsd, name) else: return lambda *args, **kwargs: None raise AttributeError statsd = StatsDWrapper() # Runs the callback with slices of all_list of a given batch_size def run_in_batches(all_list, batch_size, callback, sleep_time = 0, logger = None): if len(all_list) == 0: return limit = (len(all_list) / batch_size) + 1; for i in xrange(limit): start = i*batch_size end = (i+1) * batch_size if end >= len(all_list): end = len(all_list) batch = all_list[start:end] if logger: logger("Executing %s in batch %s of %s" % (end-start, i+1, limit)) callback(batch) if i != limit - 1: sleep(sleep_time) def make_safe_digest(string, hash_func=hashlib.sha1): """ return a hex digest of `string`. """ # hashlib.sha1, md5, etc. expect bytes, so non-ASCII strings must # be encoded. return hash_func(string.encode('utf-8')).hexdigest() def log_statsd_event(name): """ Sends a single event to statsd with the desired name and the current timestamp This can be used to provide vertical lines in generated graphs, for example when doing a prod deploy, bankruptcy request, or other one-off events Note that to draw this event as a vertical line in graphite you can use the drawAsInfinite() command """ event_name = "events.%s" % (name,) statsd.incr(event_name, int(time()))