statsd: fixed timed logic

rhodecode/lib/_vendor/statsd/base.py

@@ -1,156 +1,156 b''
 from __future__ import absolute_import, division, unicode_literals
 
 import re
 import random
 from collections import deque
 from datetime import timedelta
 from repoze.lru import lru_cache
 
 from .timer import Timer
 
 TAG_INVALID_CHARS_RE = re.compile(
     r"[^\w\d_\-:/\.]",
     #re.UNICODE
 )
 TAG_INVALID_CHARS_SUBS = "_"
 
 # we save and expose methods called by statsd for discovery
 buckets_dict = {
 
 }
 
 
 @lru_cache(maxsize=500)
 def _normalize_tags_with_cache(tag_list):
     return [TAG_INVALID_CHARS_RE.sub(TAG_INVALID_CHARS_SUBS, tag) for tag in tag_list]
 
 
 def normalize_tags(tag_list):
     # We have to turn our input tag list into a non-mutable tuple for it to
     # be hashable (and thus usable) by the @lru_cache decorator.
     return _normalize_tags_with_cache(tuple(tag_list))
 
 
 class StatsClientBase(object):
     """A Base class for various statsd clients."""
 
     def close(self):
         """Used to close and clean up any underlying resources."""
         raise NotImplementedError()
 
     def _send(self):
         raise NotImplementedError()
 
     def pipeline(self):
         raise NotImplementedError()
 
-    def timer(self, stat, rate=1, tags=None):
+    def timer(self, stat, rate=1, tags=None, auto_send=True):
         """
-        statsd = StatsdClient()
+        statsd = StatsdClient.statsd
         with statsd.timer('bucket_name', auto_send=True) as tmr:
             # This block will be timed.
             for i in xrange(0, 100000):
                 i ** 2
         # you can access time here...
         elapsed_ms = tmr.ms
         """
-        return Timer(self, stat, rate, tags)
+        return Timer(self, stat, rate, tags, auto_send=auto_send)
 
     def timing(self, stat, delta, rate=1, tags=None, use_decimals=True):
         """
         Send new timing information.
 
         `delta` can be either a number of milliseconds or a timedelta.
         """
         if isinstance(delta, timedelta):
             # Convert timedelta to number of milliseconds.
             delta = delta.total_seconds() * 1000.
         if use_decimals:
             fmt = '%0.6f|ms'
         else:
             fmt = '%s|ms'
         self._send_stat(stat, fmt % delta, rate, tags)
 
     def incr(self, stat, count=1, rate=1, tags=None):
         """Increment a stat by `count`."""
         self._send_stat(stat, '%s|c' % count, rate, tags)
 
     def decr(self, stat, count=1, rate=1, tags=None):
         """Decrement a stat by `count`."""
         self.incr(stat, -count, rate, tags)
 
     def gauge(self, stat, value, rate=1, delta=False, tags=None):
         """Set a gauge value."""
         if value < 0 and not delta:
             if rate < 1:
                 if random.random() > rate:
                     return
             with self.pipeline() as pipe:
                 pipe._send_stat(stat, '0|g', 1)
                 pipe._send_stat(stat, '%s|g' % value, 1)
         else:
             prefix = '+' if delta and value >= 0 else ''
             self._send_stat(stat, '%s%s|g' % (prefix, value), rate, tags)
 
     def set(self, stat, value, rate=1):
         """Set a set value."""
         self._send_stat(stat, '%s|s' % value, rate)
 
     def histogram(self, stat, value, rate=1, tags=None):
         """Set a histogram"""
         self._send_stat(stat, '%s|h' % value, rate, tags)
 
     def _send_stat(self, stat, value, rate, tags=None):
         self._after(self._prepare(stat, value, rate, tags))
 
     def _prepare(self, stat, value, rate, tags=None):
         global buckets_dict
         buckets_dict[stat] = 1
 
         if rate < 1:
             if random.random() > rate:
                 return
             value = '%s|@%s' % (value, rate)
 
         if self._prefix:
             stat = '%s.%s' % (self._prefix, stat)
 
         res = '%s:%s%s' % (
             stat,
             value,
             ("|#" + ",".join(normalize_tags(tags))) if tags else "",
         )
         return res
 
     def _after(self, data):
         if data:
             self._send(data)
 
 
 class PipelineBase(StatsClientBase):
 
     def __init__(self, client):
         self._client = client
         self._prefix = client._prefix
         self._stats = deque()
 
     def _send(self):
         raise NotImplementedError()
 
     def _after(self, data):
         if data is not None:
             self._stats.append(data)
 
     def __enter__(self):
         return self
 
     def __exit__(self, typ, value, tb):
         self.send()
 
     def send(self):
         if not self._stats:
             return
         self._send()
 
     def pipeline(self):
         return self.__class__(self)