<s> import logging <EOL> from Queue import Empty <EOL> from redis import StrictRedis <EOL> from time import time , sleep <EOL> from threading import Thread <EOL> from collections import defaultdict <EOL> from multiprocessing import Process , Manager , Queue <EOL> from msgpack import Unpacker , unpackb , packb <EOL> from os import path , kill , getpid , system <EOL> from math import ceil <EOL> import traceback <EOL> import operator <EOL> import socket <EOL> import settings <EOL> from alerters import trigger_alert <EOL> from algorithms import run_selected_algorithm <EOL> from algorithm_exceptions import * <EOL> logger = logging . getLogger ( "<STR_LIT>" ) <EOL> class Analyzer ( Thread ) : <EOL> def __init__ ( self , parent_pid ) : <EOL> """<STR_LIT>""" <EOL> super ( Analyzer , self ) . __init__ ( ) <EOL> self . redis_conn = StrictRedis ( unix_socket_path = settings . REDIS_SOCKET_PATH ) <EOL> self . daemon = True <EOL> self . parent_pid = parent_pid <EOL> self . current_pid = getpid ( ) <EOL> self . anomalous_metrics = Manager ( ) . list ( ) <EOL> self . exceptions_q = Queue ( ) <EOL> self . anomaly_breakdown_q = Queue ( ) <EOL> def check_if_parent_is_alive ( self ) : <EOL> """<STR_LIT>""" <EOL> try : <EOL> kill ( self . current_pid , <NUM_LIT:0> ) <EOL> kill ( self . parent_pid , <NUM_LIT:0> ) <EOL> except : <EOL> exit ( <NUM_LIT:0> ) <EOL> def send_graphite_metric ( self , name , value ) : <EOL> if settings . GRAPHITE_HOST != '<STR_LIT>' : <EOL> sock = socket . socket ( ) <EOL> sock . connect ( ( settings . GRAPHITE_HOST , settings . CARBON_PORT ) ) <EOL> sock . sendall ( '<STR_LIT>' % ( name , value , time ( ) ) ) <EOL> sock . close ( ) <EOL> return True <EOL> return False <EOL> def spin_process ( self , i , unique_metrics ) : <EOL> """<STR_LIT>""" <EOL> keys_per_processor = int ( ceil ( float ( len ( unique_metrics ) ) / float ( settings . ANALYZER_PROCESSES ) ) ) <EOL> if i == settings . ANALYZER_PROCESSES : <EOL> assigned_max = len ( unique_metrics ) <EOL> else : <EOL> assigned_max = i * keys_per_processor <EOL> assigned_min = assigned_max - keys_per_processor <EOL> assigned_keys = range ( assigned_min , assigned_max ) <EOL> assigned_metrics = [ unique_metrics [ index ] for index in assigned_keys ] <EOL> if len ( assigned_metrics ) == <NUM_LIT:0> : <EOL> return <EOL> raw_assigned = self . redis_conn . mget ( assigned_metrics ) <EOL> exceptions = defaultdict ( int ) <EOL> anomaly_breakdown = defaultdict ( int ) <EOL> for i , metric_name in enumerate ( assigned_metrics ) : <EOL> self . check_if_parent_is_alive ( ) <EOL> try : <EOL> raw_series = raw_assigned [ i ] <EOL> unpacker = Unpacker ( use_list = False ) <EOL> unpacker . feed ( raw_series ) <EOL> timeseries = list ( unpacker ) <EOL> anomalous , ensemble , datapoint = run_selected_algorithm ( timeseries , metric_name ) <EOL> if anomalous : <EOL> base_name = metric_name . replace ( settings . FULL_NAMESPACE , '<STR_LIT>' , <NUM_LIT:1> ) <EOL> metric = [ datapoint , base_name ] <EOL> self . anomalous_metrics . append ( metric ) <EOL> for index , value in enumerate ( ensemble ) : <EOL> if value : <EOL> algorithm = settings . ALGORITHMS [ index ] <EOL> anomaly_breakdown [ algorithm ] += <NUM_LIT:1> <EOL> except TypeError : <EOL> exceptions [ '<STR_LIT>' ] += <NUM_LIT:1> <EOL> except TooShort : <EOL> exceptions [ '<STR_LIT>' ] += <NUM_LIT:1> <EOL> except Stale : <EOL> exceptions [ '<STR_LIT>' ] += <NUM_LIT:1> <EOL> except Boring : <EOL> exceptions [ '<STR_LIT>' ] += <NUM_LIT:1> <EOL> except : <EOL> exceptions [ '<STR_LIT>' ] += <NUM_LIT:1> <EOL> logger . info ( traceback . format_exc ( ) ) <EOL> for key , value in anomaly_breakdown . items ( ) : <EOL> self . anomaly_breakdown_q . put ( ( key , value ) ) <EOL> for key , value in exceptions . items ( ) : <EOL> self . exceptions_q . put ( ( key , value ) ) <EOL> def run ( self ) : <EOL> """<STR_LIT>""" <EOL> while <NUM_LIT:1> : <EOL> now = time ( ) <EOL> try : <EOL> self . redis_conn . ping ( ) <EOL> except : <EOL> logger . error ( '<STR_LIT>' % settings . REDIS_SOCKET_PATH ) <EOL> sleep ( <NUM_LIT:10> ) <EOL> self . redis_conn = StrictRedis ( unix_socket_path = settings . REDIS_SOCKET_PATH ) <EOL> continue <EOL> unique_metrics = list ( self . redis_conn . smembers ( settings . FULL_NAMESPACE + '<STR_LIT>' ) ) <EOL> if len ( unique_metrics ) == <NUM_LIT:0> : <EOL> logger . info ( '<STR_LIT>' ) <EOL> sleep ( <NUM_LIT:10> ) <EOL> continue <EOL> pids = [ ] <EOL> for i in range ( <NUM_LIT:1> , settings . ANALYZER_PROCESSES + <NUM_LIT:1> ) : <EOL> if i > len ( unique_metrics ) : <EOL> logger . info ( '<STR_LIT>' ) <EOL> break <EOL> p = Process ( target = self . spin_process , args = ( i , unique_metrics ) ) <EOL> pids . append ( p ) <EOL> p . start ( ) <EOL> for p in pids : <EOL> p . join ( ) <EOL> exceptions = dict ( ) <EOL> anomaly_breakdown = dict ( ) <EOL> while <NUM_LIT:1> : <EOL> try : <EOL> key , value = self . anomaly_breakdown_q . get_nowait ( ) <EOL> if key not in anomaly_breakdown . keys ( ) : <EOL> anomaly_breakdown [ key ] = value <EOL> else : <EOL> anomaly_breakdown [ key ] += value <EOL> except Empty : <EOL> break <EOL> while <NUM_LIT:1> : <EOL> try : <EOL> key , value = self . exceptions_q . get_nowait ( ) <EOL> if key not in exceptions . keys ( ) : <EOL> exceptions [ key ] = value <EOL> else : <EOL> exceptions [ key ] += value <EOL> except Empty : <EOL> break <EOL> if settings . ENABLE_ALERTS : <EOL> for alert in settings . ALERTS : <EOL> for metric in self . anomalous_metrics : <EOL> if alert [ <NUM_LIT:0> ] in metric [ <NUM_LIT:1> ] : <EOL> cache_key = '<STR_LIT>' % ( alert [ <NUM_LIT:1> ] , metric [ <NUM_LIT:1> ] ) <EOL> try : <EOL> last_alert = self . redis_conn . get ( cache_key ) <EOL> if not last_alert : <EOL> self . redis_conn . setex ( cache_key , alert [ <NUM_LIT:2> ] , packb ( metric [ <NUM_LIT:0> ] ) ) <EOL> trigger_alert ( alert , metric ) <EOL> except Exception as e : <EOL> logger . error ( "<STR_LIT>" % e ) <EOL> filename = path . abspath ( path . join ( path . dirname ( __file__ ) , '<STR_LIT:..>' , settings . ANOMALY_DUMP ) ) <EOL> with open ( filename , '<STR_LIT:w>' ) as fh : <EOL> anomalous_metrics = list ( self . anomalous_metrics ) <EOL> anomalous_metrics . sort ( key = operator . itemgetter ( <NUM_LIT:1> ) ) <EOL> fh . write ( '<STR_LIT>' % anomalous_metrics ) <EOL> logger . info ( '<STR_LIT>' % ( time ( ) - now ) ) <EOL> logger . info ( '<STR_LIT>' % len ( unique_metrics ) ) <EOL> logger . info ( '<STR_LIT>' % ( len ( unique_metrics ) - sum ( exceptions . values ( ) ) ) ) <EOL> logger . info ( '<STR_LIT>' % len ( self . anomalous_metrics ) ) <EOL> logger . info ( '<STR_LIT>' % exceptions ) <EOL> logger . info ( '<STR_LIT>' % anomaly_breakdown ) <EOL> self . send_graphite_metric ( '<STR_LIT>' , '<STR_LIT>' % ( time ( ) - now ) ) <EOL> self . send_graphite_metric ( '<STR_LIT>' , '<STR_LIT>' % ( len ( unique_metrics ) - sum ( exceptions . values ( ) ) ) ) <EOL> raw_series = self . redis_conn . get ( settings . FULL_NAMESPACE + settings . CANARY_METRIC ) <EOL> if raw_series is not None : <EOL> unpacker = Unpacker ( use_list = False ) <EOL> unpacker . feed ( raw_series ) <EOL> timeseries = list ( unpacker ) <EOL> time_human = ( timeseries [ - <NUM_LIT:1> ] [ <NUM_LIT:0> ] - timeseries [ <NUM_LIT:0> ] [ <NUM_LIT:0> ] ) / <NUM_LIT> <EOL> projected = <NUM_LIT> * ( time ( ) - now ) / time_human <EOL> logger . info ( '<STR_LIT>' % time_human ) <EOL> self . send_graphite_metric ( '<STR_LIT>' , '<STR_LIT>' % time_human ) <EOL> self . send_graphite_metric ( '<STR_LIT>' , '<STR_LIT>' % projected ) <EOL> self . anomalous_metrics [ : ] = [ ] <EOL> if time ( ) - now < <NUM_LIT:5> : <EOL> logger . info ( '<STR_LIT>' ) <EOL> sleep ( <NUM_LIT:10> ) </s>
