zulip/zerver/lib/utils.py

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# -*- coding: utf-8 -*-
from __future__ import absolute_import
import hashlib
from time import sleep
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)