def fetch(self, startTime, endTime):
if not self.__isLeaf:
return []
query_params = [
('target', self.metric_path),
('pickle', 'true'),
('from', str( int(startTime) )),
('until', str( int(endTime) ))
]
query_string = urlencode(query_params)
connection = HTTPConnectionWithTimeout(self.store.host)
connection.timeout = config.get('remote').get('remote_store_fetch_timeout')
connection.request('GET', '/?' + query_string)
response = connection.getresponse()
assert response.status == 200, "Failed to retrieve remote data: %d %s" % (response.status, response.reason)
rawData = response.read()
seriesList = pickle.loads(rawData)
assert len(seriesList) == 1, "Invalid result: seriesList=%s" % str(seriesList)
series = seriesList[0]
timeInfo = (series['start'], series['end'], series['step'])
return (timeInfo, series['values'])
def __init__(self):
log_settings = config.get('logging')
#Setup log files
self.infoLogFile = os.path.join(log_settings.get('log_dir'),"info.log")
self.exceptionLogFile = os.path.join(log_settings.get('log_dir'),"exception.log")
self.cacheLogFile = os.path.join(log_settings.get('log_dir'),"cache.log")
self.renderingLogFile = os.path.join(log_settings.get('log_dir'),"rendering.log")
self.metricAccessLogFile = os.path.join(log_settings.get('log_dir'),"metricaccess.log")
#Setup loggers
self.infoLogger = logging.getLogger("info")
self.infoLogger.setLevel(logging.INFO)
self.exceptionLogger = logging.getLogger("exception")
self.cacheLogger = logging.getLogger("cache")
self.renderingLogger = logging.getLogger("rendering")
self.metricAccessLogger = logging.getLogger("metric_access")
#Setup formatter & handlers
self.formatter = logging.Formatter("%(asctime)s :: %(message)s","%a %b %d %H:%M:%S %Y")
self.infoHandler = Rotater(self.infoLogFile,when="midnight",backupCount=1)
self.infoHandler.setFormatter(self.formatter)
self.infoLogger.addHandler(self.infoHandler)
self.exceptionHandler = Rotater(self.exceptionLogFile,when="midnight",backupCount=1)
self.exceptionHandler.setFormatter(self.formatter)
self.exceptionLogger.addHandler(self.exceptionHandler)
if log_settings.get('log_cache_performance'):
self.cacheHandler = Rotater(self.cacheLogFile,when="midnight",backupCount=1)
self.cacheHandler.setFormatter(self.formatter)
self.cacheLogger.addHandler(self.cacheHandler)
if log_settings.get('log_rendering_performance'):
self.renderingHandler = Rotater(self.renderingLogFile,when="midnight",backupCount=1)
self.renderingHandler.setFormatter(self.formatter)
self.renderingLogger.addHandler(self.renderingHandler)
if log_settings.get('log_metric_access'):
self.metricAccessHandler = Rotater(self.metricAccessLogFile,when="midnight",backupCount=10)
self.metricAccessHandler.setFormatter(self.formatter)
self.metricAccessLogger.addHandler(self.metricAccessHandler)
def send(self):
self.cachedResults = cache[self.cacheKey]
if self.cachedResults:
return
self.connection = HTTPConnectionWithTimeout(self.store.host)
self.connection.timeout = config.get('remote').get('remote_store_find_timeout')
query_params = [
('local', '1'),
('format', 'pickle'),
('query', self.query),
]
query_string = urlencode(query_params)
try:
self.connection.request('GET', '/metrics/find?' + query_string)
except:
self.store.fail()
if not self.suppressErrors:
raise
import socket
import struct
import time
from graphitelite.storage import STORE, LOCAL_STORE
from graphitelite.config import config
from graphitelite.hashing import ConsistentHashRing
from graphitelite.log import log
try:
import cPickle as pickle
except ImportError:
import pickle
CARBONLINK_HOSTS = config.get('main').get('carbon_link_hosts')
CARBONLINK_TIMEOUT = config.get('main').get('carbon_link_time_out')
class TimeSeries(list):
def __init__(self, name, start, end, step, values, consolidate='average'):
self.name = name
self.start = start
self.end = end
self.step = step
list.__init__(self,values)
self.consolidationFunc = consolidate
self.valuesPerPoint = 1
self.options = {}
def __iter__(self):
if self.valuesPerPoint > 1:
return [RRDDataSource(self, datasource_name) for datasource_name in info['ds']]
else:
ds_keys = [ key for key in info if key.startswith('ds[') ]
datasources = set( key[3:].split(']')[0] for key in ds_keys )
return [ RRDDataSource(self, ds) for ds in datasources ]
class RRDDataSource(Leaf):
def __init__(self, rrd_file, name):
self.rrd_file = rrd_file
self.name = name
self.fs_path = rrd_file.fs_path
self.metric_path = rrd_file.metric_path + '.' + name
self.real_metric = self.metric_path
def fetch(self, startTime, endTime):
startString = time.strftime("%H:%M_%Y%m%d", time.localtime(startTime))
endString = time.strftime("%H:%M_%Y%m%d", time.localtime(endTime))
(timeInfo,columns,rows) = rrdtool.fetch(self.fs_path,'AVERAGE','-s' + startString,'-e' + endString)
colIndex = list(columns).index(self.name)
rows.pop() #chop off the latest value because RRD returns crazy last values sometimes
values = (row[colIndex] for row in rows)
return (timeInfo,values)
# Exposed Storage API
LOCAL_STORE = Store(config.get('storage').get('data_dirs'))
STORE = Store(config.get('storage').get('data_dirs'), remote_hosts=config.get('remote').get('cluster_servers'))
