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util.py
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util.py
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# (C) Datadog, Inc. 2010-2016
# All rights reserved
# Licensed under Simplified BSD License (see LICENSE)
# stdlib
from collections import deque
import logging
import os
import platform
import re
import signal
import sys
import time
import uuid
# 3p
import yaml # noqa, let's guess, probably imported somewhere
try:
from yaml import CLoader as yLoader
from yaml import CDumper as yDumper
except ImportError:
# On source install C Extensions might have not been built
from yaml import Loader as yLoader # noqa, imported from here elsewhere
from yaml import Dumper as yDumper # noqa, imported from here elsewhere
# These classes are now in utils/, they are just here for compatibility reasons,
# if a user actually uses them in a custom check
# If you're this user, please use utils/* instead
# FIXME: remove them at a point (6.x)
from utils.pidfile import PidFile # noqa, see ^^^
from utils.platform import Platform, get_os # noqa, see ^^^
from utils.proxy import get_proxy # noqa, see ^^^
COLON_NON_WIN_PATH = re.compile(':(?!\\\\)')
log = logging.getLogger(__name__)
NumericTypes = (float, int, long)
def plural(count):
if count == 1:
return ""
return "s"
def get_uuid():
# Generate a unique name that will stay constant between
# invocations, such as platform.node() + uuid.getnode()
# Use uuid5, which does not depend on the clock and is
# recommended over uuid3.
# This is important to be able to identify a server even if
# its drives have been wiped clean.
# Note that this is not foolproof but we can reconcile servers
# on the back-end if need be, based on mac addresses.
return uuid.uuid5(uuid.NAMESPACE_DNS, platform.node() + str(uuid.getnode())).hex
def headers(agentConfig, **kwargs):
# Build the request headers
res = {
'User-Agent': 'Datadog Agent/%s' % agentConfig['version'],
'Content-Type': 'application/x-www-form-urlencoded',
'Accept': 'text/html, */*',
}
if 'http_host' in kwargs:
res['Host'] = kwargs['http_host']
return res
def windows_friendly_colon_split(config_string):
'''
Perform a split by ':' on the config_string
without splitting on the start of windows path
'''
if Platform.is_win32():
# will split on path/to/module.py:blabla but not on C:\\path
return COLON_NON_WIN_PATH.split(config_string)
else:
return config_string.split(':')
def cast_metric_val(val):
# ensure that the metric value is a numeric type
if not isinstance(val, NumericTypes):
# Try the int conversion first because want to preserve
# whether the value is an int or a float. If neither work,
# raise a ValueError to be handled elsewhere
for cast in [int, float]:
try:
val = cast(val)
return val
except ValueError:
continue
raise ValueError
return val
_IDS = {}
def get_next_id(name):
global _IDS
current_id = _IDS.get(name, 0)
current_id += 1
_IDS[name] = current_id
return current_id
def check_yaml(conf_path):
with open(conf_path) as f:
check_config = yaml.load(f.read(), Loader=yLoader)
assert 'init_config' in check_config, "No 'init_config' section found"
assert 'instances' in check_config, "No 'instances' section found"
valid_instances = True
if check_config['instances'] is None or not isinstance(check_config['instances'], list):
valid_instances = False
else:
for i in check_config['instances']:
if not isinstance(i, dict):
valid_instances = False
break
if not valid_instances:
raise Exception('You need to have at least one instance defined in the YAML file for this check')
else:
return check_config
class Watchdog(object):
"""
Simple signal-based watchdog. Restarts the process when:
* no reset was made for more than a specified duration
* (optional) a specified memory threshold is exceeded
* (optional) a suspicious high activity is detected, i.e. too many resets for a given timeframe.
**Warning**: Not thread-safe.
Can only be invoked once per process, so don't use with multiple threads.
If you instantiate more than one, you're also asking for trouble.
"""
# Activity history timeframe
_RESTART_TIMEFRAME = 60
def __init__(self, duration, max_mem_mb=None, max_resets=None):
import resource
# Set the duration
self._duration = int(duration)
signal.signal(signal.SIGALRM, Watchdog.self_destruct)
# Set memory usage threshold
if max_mem_mb is not None:
self._max_mem_kb = 1024 * max_mem_mb
max_mem_bytes = 1024 * self._max_mem_kb
resource.setrlimit(resource.RLIMIT_AS, (max_mem_bytes, max_mem_bytes))
self.memory_limit_enabled = True
else:
self.memory_limit_enabled = False
# Set high activity monitoring
self._restarts = deque([])
self._max_resets = max_resets
@staticmethod
def self_destruct(signum, frame):
"""
Kill the process. It will be eventually restarted.
"""
try:
import traceback
log.error("Self-destructing...")
log.error(traceback.format_exc())
finally:
os.kill(os.getpid(), signal.SIGKILL)
def _is_frenetic(self):
"""
Detect suspicious high activity, i.e. the number of resets exceeds the maximum limit set
on the watchdog timeframe.
Flush old activity history
"""
now = time.time()
while(self._restarts and self._restarts[0] < now - self._RESTART_TIMEFRAME):
self._restarts.popleft()
return len(self._restarts) > self._max_resets
def reset(self):
"""
Reset the watchdog state, i.e.
* re-arm alarm signal
* (optional) check memory consumption
* (optional) save reset history, flush old entries and check frequency
"""
# Check memory consumption: restart if too high as tornado will swallow MemoryErrors
if self.memory_limit_enabled:
mem_usage_kb = int(os.popen('ps -p %d -o %s | tail -1' % (os.getpid(), 'rss')).read())
if mem_usage_kb > (0.95 * self._max_mem_kb):
Watchdog.self_destruct(signal.SIGKILL, sys._getframe(0))
# Check activity
if self._max_resets:
self._restarts.append(time.time())
if self._is_frenetic():
Watchdog.self_destruct(signal.SIGKILL, sys._getframe(0))
# Re arm alarm signal
log.debug("Resetting watchdog for %d" % self._duration)
signal.alarm(self._duration)
class Timer(object):
""" Helper class """
def __init__(self):
self.start()
def _now(self):
return time.time()
def start(self):
self.started = self._now()
self.last = self.started
return self
def step(self):
now = self._now()
step = now - self.last
self.last = now
return step
def total(self, as_sec=True):
return self._now() - self.started
"""
Iterable Recipes
"""
def chunks(iterable, chunk_size):
"""Generate sequences of `chunk_size` elements from `iterable`."""
iterable = iter(iterable)
while True:
chunk = [None] * chunk_size
count = 0
try:
for _ in range(chunk_size):
chunk[count] = iterable.next()
count += 1
yield chunk[:count]
except StopIteration:
if count:
yield chunk[:count]
break