<s> """<STR_LIT>""" <EOL> import sys <EOL> import itertools <EOL> from time import time <EOL> from lib . modules . base_task import BaseTask <EOL> from lib . modules . helper import extract_service_name , get_closest_datapoint <EOL> from lib . modules . models import TimeSeriesTuple <EOL> class TukeysFilter ( BaseTask ) : <EOL> def __init__ ( self , config , logger , options ) : <EOL> super ( TukeysFilter , self ) . __init__ ( config , logger , resource = { '<STR_LIT>' : '<STR_LIT>' , <EOL> '<STR_LIT>' : '<STR_LIT>' } ) <EOL> self . namespace = '<STR_LIT>' <EOL> self . service = options [ '<STR_LIT>' ] <EOL> self . params = options [ '<STR_LIT>' ] <EOL> def read ( self ) : <EOL> quantile_25 = self . params [ '<STR_LIT>' ] <EOL> quantile_75 = self . params [ '<STR_LIT>' ] <EOL> metrics = self . params [ '<STR_LIT>' ] <EOL> delay = self . params . get ( '<STR_LIT>' , <NUM_LIT:0> ) <EOL> maximum_delay = self . params . get ( '<STR_LIT>' , <NUM_LIT> ) <EOL> quantile_25 = [ i for i in self . metric_sink . iread ( quantile_25 ) ] <EOL> quantile_75 = [ i for i in self . metric_sink . iread ( quantile_75 ) ] <EOL> metrics = [ i for i in self . metric_sink . iread ( metrics ) ] <EOL> if not ( len ( quantile_25 ) * len ( quantile_75 ) * len ( metrics ) ) : <EOL> self . logger . error ( <EOL> '<STR_LIT>' ) <EOL> return None <EOL> quantile_25 = sorted ( quantile_25 , key = lambda tup : tup . timestamp ) <EOL> quantile_75 = sorted ( quantile_75 , key = lambda tup : tup . timestamp ) <EOL> metrics = sorted ( metrics , key = lambda tup : ( tup . name , tup . timestamp ) ) <EOL> time_now = time ( ) - delay <EOL> quantile_25 = get_closest_datapoint ( quantile_25 , time_now ) <EOL> if time_now - quantile_25 . timestamp > maximum_delay : <EOL> self . logger . error ( '<STR_LIT>' % ( <EOL> quantile_25 . timestamp , quantile_25 . name ) ) <EOL> return None <EOL> quantile_25 = quantile_25 . value <EOL> quantile_75 = get_closest_datapoint ( quantile_75 , time_now ) <EOL> if time_now - quantile_75 . timestamp > maximum_delay : <EOL> self . logger . error ( '<STR_LIT>' % ( <EOL> quantile_75 . timestamp , quantile_75 . name ) ) <EOL> return None <EOL> quantile_75 = quantile_75 . value <EOL> if quantile_25 > quantile_75 : <EOL> self . logger . error ( '<STR_LIT>' % ( <EOL> quantile_25 , quantile_75 ) ) <EOL> return None <EOL> distribution = { } <EOL> grouped = itertools . groupby ( metrics , key = lambda tup : tup . name ) <EOL> for key , metrics in grouped : <EOL> closest_datapoint = get_closest_datapoint ( <EOL> [ metric for metric in metrics ] , time_now ) <EOL> if time_now - closest_datapoint . timestamp < maximum_delay : <EOL> distribution [ key ] = closest_datapoint . value <EOL> if len ( distribution ) == <NUM_LIT:0> : <EOL> self . logger . error ( '<STR_LIT>' ) <EOL> return None <EOL> return quantile_25 , quantile_75 , distribution <EOL> def process ( self , data ) : <EOL> quantile_25 , quantile_75 , distribution = data <EOL> iqr_scaling = self . params . get ( '<STR_LIT>' , <NUM_LIT> ) <EOL> iqr = quantile_75 - quantile_25 <EOL> lower_limit = quantile_25 - iqr_scaling * iqr <EOL> upper_limit = quantile_75 + iqr_scaling * iqr <EOL> if '<STR_LIT>' in self . params : <EOL> lower_limit = max ( <EOL> lower_limit , self . params [ '<STR_LIT>' ] ) <EOL> if '<STR_LIT>' in self . params : <EOL> upper_limit = min ( <EOL> upper_limit , self . params [ '<STR_LIT>' ] ) <EOL> states = { } <EOL> for metric , value in distribution . iteritems ( ) : <EOL> if value > upper_limit : <EOL> states [ metric ] = <NUM_LIT:1.0> <EOL> elif value < lower_limit : <EOL> states [ metric ] = - <NUM_LIT:1.0> <EOL> else : <EOL> states [ metric ] = <NUM_LIT:0.0> <EOL> return quantile_25 , quantile_75 , states <EOL> def write ( self , data ) : <EOL> quantile_25 , quantile_75 , states = data <EOL> prefix = '<STR_LIT>' % ( self . namespace , self . service ) <EOL> count = len ( states ) <EOL> invalid = <NUM_LIT:0> <EOL> now = int ( time ( ) ) <EOL> tuples = [ ] <EOL> for name , state in states . iteritems ( ) : <EOL> if state : <EOL> invalid += <NUM_LIT:1> <EOL> name = extract_service_name ( name ) <EOL> tuples . append ( TimeSeriesTuple ( '<STR_LIT>' % ( prefix , name ) , now , state ) ) <EOL> tuples . append ( TimeSeriesTuple ( '<STR_LIT>' % ( prefix , '<STR_LIT>' ) , now , quantile_25 ) ) <EOL> tuples . append ( TimeSeriesTuple ( '<STR_LIT>' % ( prefix , '<STR_LIT>' ) , now , quantile_75 ) ) <EOL> tuples . append ( TimeSeriesTuple ( '<STR_LIT>' % ( prefix , '<STR_LIT:count>' ) , now , count ) ) <EOL> tuples . append ( TimeSeriesTuple ( '<STR_LIT>' % ( prefix , '<STR_LIT>' ) , now , invalid ) ) <EOL> self . output_sink . write ( tuples ) <EOL> def run ( self ) : <EOL> data = self . read ( ) <EOL> if data : <EOL> state = self . process ( data ) <EOL> self . write ( state ) <EOL> return True <EOL> else : <EOL> return None </s>
