<s> import argparse <EOL> import collections <EOL> import ConfigParser <EOL> import datetime <EOL> import logging <EOL> import operator <EOL> import re <EOL> import requests <EOL> import dateutil . parser as dp <EOL> import jinja2 <EOL> import elastic_recheck . elasticRecheck as er <EOL> import elastic_recheck . query_builder as qb <EOL> import elastic_recheck . results as er_results <EOL> EXCLUDED_JOBS = ( <EOL> "<STR_LIT>" , <EOL> "<STR_LIT>" , <EOL> "<STR_LIT>" , <EOL> "<STR_LIT>" , <EOL> "<STR_LIT>" , <EOL> ) <EOL> EXCLUDED_JOBS_REGEX = re . compile ( '<STR_LIT:(>' + '<STR_LIT:|>' . join ( EXCLUDED_JOBS ) + '<STR_LIT:)>' ) <EOL> LOG = logging . getLogger ( '<STR_LIT>' ) <EOL> def get_options ( ) : <EOL> parser = argparse . ArgumentParser ( <EOL> description = '''<STR_LIT>''' ) <EOL> parser . add_argument ( '<STR_LIT>' , '<STR_LIT>' , help = "<STR_LIT>" , <EOL> default = "<STR_LIT>" ) <EOL> parser . add_argument ( '<STR_LIT>' , '<STR_LIT>' , help = "<STR_LIT>" ) <EOL> parser . add_argument ( '<STR_LIT>' , '<STR_LIT>' , help = "<STR_LIT>" ) <EOL> parser . add_argument ( '<STR_LIT:-c>' , '<STR_LIT>' , help = "<STR_LIT>" <EOL> "<STR_LIT>" <EOL> "<STR_LIT>" <EOL> "<STR_LIT>" ) <EOL> return parser . parse_args ( ) <EOL> def setup_template_engine ( directory ) : <EOL> path = [ "<STR_LIT>" ] <EOL> if directory : <EOL> path . append ( directory ) <EOL> loader = jinja2 . FileSystemLoader ( path ) <EOL> env = jinja2 . Environment ( loader = loader ) <EOL> return env . get_template ( "<STR_LIT>" ) <EOL> def all_fails ( classifier ) : <EOL> """<STR_LIT>""" <EOL> all_fails = { } <EOL> query = ( '<STR_LIT>' <EOL> '<STR_LIT>' <EOL> '<STR_LIT>' <EOL> '<STR_LIT>' ) <EOL> results = classifier . hits_by_query ( query , size = <NUM_LIT> ) <EOL> facets = er_results . FacetSet ( ) <EOL> facets . detect_facets ( results , [ "<STR_LIT>" ] ) <EOL> for build in facets : <EOL> for result in facets [ build ] : <EOL> if re . search ( EXCLUDED_JOBS_REGEX , result . build_name ) : <EOL> continue <EOL> if re . search ( "<STR_LIT>" , result . project ) : <EOL> name = result . build_name <EOL> timestamp = dp . parse ( result . timestamp ) <EOL> log = result . log_url . split ( "<STR_LIT>" ) [ <NUM_LIT:0> ] <EOL> all_fails [ "<STR_LIT>" % ( build , name ) ] = { <EOL> '<STR_LIT>' : log , <EOL> '<STR_LIT>' : timestamp , <EOL> '<STR_LIT>' : result . build_uuid <EOL> } <EOL> return all_fails <EOL> def num_fails_per_build_name ( all_jobs ) : <EOL> counts = collections . defaultdict ( int ) <EOL> for f in all_jobs : <EOL> build , job = f . split ( '<STR_LIT:.>' , <NUM_LIT:1> ) <EOL> counts [ job ] += <NUM_LIT:1> <EOL> return counts <EOL> def classifying_rate ( fails , data , engine , classifier , ls_url ) : <EOL> """<STR_LIT>""" <EOL> found_fails = { k : False for ( k , v ) in fails . iteritems ( ) } <EOL> for bugnum in data : <EOL> bug = data [ bugnum ] <EOL> for job in bug [ '<STR_LIT>' ] : <EOL> found_fails [ job ] = True <EOL> bad_jobs = collections . defaultdict ( int ) <EOL> total_job_failures = collections . defaultdict ( int ) <EOL> bad_job_urls = collections . defaultdict ( list ) <EOL> count = <NUM_LIT:0> <EOL> total = <NUM_LIT:0> <EOL> for f in fails : <EOL> total += <NUM_LIT:1> <EOL> build , job = f . split ( '<STR_LIT:.>' , <NUM_LIT:1> ) <EOL> total_job_failures [ job ] += <NUM_LIT:1> <EOL> if found_fails [ f ] is True : <EOL> count += <NUM_LIT:1> <EOL> else : <EOL> bad_jobs [ job ] += <NUM_LIT:1> <EOL> bad_job_urls [ job ] . append ( fails [ f ] ) <EOL> for job in bad_job_urls : <EOL> bad_job_urls [ job ] = sorted ( bad_job_urls [ job ] , <EOL> key = lambda v : v [ '<STR_LIT>' ] , reverse = True ) <EOL> for url in bad_job_urls [ job ] : <EOL> url [ '<STR_LIT>' ] = url [ '<STR_LIT>' ] . strftime ( <EOL> "<STR_LIT>" ) <EOL> query = ( '<STR_LIT>' <EOL> '<STR_LIT>' <EOL> % url [ '<STR_LIT>' ] ) <EOL> logstash_query = qb . encode_logstash_query ( query ) <EOL> logstash_url = ( '<STR_LIT>' <EOL> % ( ls_url , logstash_query ) ) <EOL> results = classifier . hits_by_query ( query , size = <NUM_LIT:1> ) <EOL> if results : <EOL> url [ '<STR_LIT>' ] = logstash_url <EOL> classifying_rate = collections . defaultdict ( int ) <EOL> rate = <NUM_LIT:0> <EOL> if total > <NUM_LIT:0> : <EOL> rate = ( float ( count ) / float ( total ) ) * <NUM_LIT> <EOL> classifying_rate [ '<STR_LIT>' ] = "<STR_LIT>" % rate <EOL> for job in bad_jobs : <EOL> if bad_jobs [ job ] == <NUM_LIT:0> and total_job_failures [ job ] == <NUM_LIT:0> : <EOL> classifying_rate [ job ] = <NUM_LIT:0> <EOL> else : <EOL> classifying_rate [ job ] = "<STR_LIT>" % ( <EOL> <NUM_LIT> - <EOL> ( float ( bad_jobs [ job ] ) / float ( total_job_failures [ job ] ) ) <EOL> * <NUM_LIT> ) <EOL> sort = sorted ( <EOL> bad_jobs . iteritems ( ) , <EOL> key = operator . itemgetter ( <NUM_LIT:1> ) , <EOL> reverse = True ) <EOL> tvars = { <EOL> "<STR_LIT>" : classifying_rate , <EOL> "<STR_LIT:count>" : count , <EOL> "<STR_LIT>" : total , <EOL> "<STR_LIT>" : total - count , <EOL> "<STR_LIT>" : sort , <EOL> "<STR_LIT>" : total_job_failures , <EOL> "<STR_LIT>" : bad_job_urls , <EOL> "<STR_LIT>" : datetime . datetime . utcnow ( ) . strftime ( "<STR_LIT>" ) <EOL> } <EOL> return engine . render ( tvars ) <EOL> def _status_count ( results ) : <EOL> counts = { } <EOL> facets = er_results . FacetSet ( ) <EOL> facets . detect_facets ( <EOL> results , <EOL> [ "<STR_LIT>" , "<STR_LIT>" ] ) <EOL> for key in facets : <EOL> counts [ key ] = len ( facets [ key ] ) <EOL> return counts <EOL> def _failure_count ( hits ) : <EOL> if "<STR_LIT>" in hits : <EOL> return hits [ "<STR_LIT>" ] <EOL> else : <EOL> return <NUM_LIT:0> <EOL> def _failed_jobs ( results ) : <EOL> failed_jobs = [ ] <EOL> facets = er_results . FacetSet ( ) <EOL> facets . detect_facets ( <EOL> results , <EOL> [ "<STR_LIT>" , "<STR_LIT>" ] ) <EOL> if "<STR_LIT>" in facets : <EOL> for build in facets [ "<STR_LIT>" ] : <EOL> for result in facets [ "<STR_LIT>" ] [ build ] : <EOL> failed_jobs . append ( "<STR_LIT>" % ( build , result . build_name ) ) <EOL> return failed_jobs <EOL> def _count_fails_per_build_name ( hits ) : <EOL> facets = er_results . FacetSet ( ) <EOL> counts = collections . defaultdict ( int ) <EOL> facets . detect_facets ( <EOL> hits , <EOL> [ "<STR_LIT>" , "<STR_LIT>" , "<STR_LIT>" ] ) <EOL> if "<STR_LIT>" in facets : <EOL> for build_name in facets [ "<STR_LIT>" ] : <EOL> counts [ build_name ] += <NUM_LIT:1> <EOL> return counts <EOL> def _failure_percentage ( hits , fails ) : <EOL> total_fails_per_build_name = num_fails_per_build_name ( fails ) <EOL> fails_per_build_name = _count_fails_per_build_name ( hits ) <EOL> per = { } <EOL> for build in fails_per_build_name : <EOL> this_job = fails_per_build_name [ build ] <EOL> if build in total_fails_per_build_name : <EOL> total = total_fails_per_build_name [ build ] <EOL> per [ build ] = ( float ( this_job ) / float ( total ) ) * <NUM_LIT> <EOL> return per <EOL> def collect_metrics ( classifier , fails ) : <EOL> data = { } <EOL> for q in classifier . queries : <EOL> try : <EOL> results = classifier . hits_by_query ( q [ '<STR_LIT>' ] , size = <NUM_LIT> ) <EOL> hits = _status_count ( results ) <EOL> data [ q [ '<STR_LIT>' ] ] = { <EOL> '<STR_LIT>' : _failure_count ( hits ) , <EOL> '<STR_LIT>' : hits , <EOL> '<STR_LIT>' : _failure_percentage ( results , fails ) , <EOL> '<STR_LIT>' : q [ '<STR_LIT>' ] , <EOL> '<STR_LIT>' : _failed_jobs ( results ) <EOL> } <EOL> except requests . exceptions . ReadTimeout : <EOL> LOG . exception ( "<STR_LIT>" % <EOL> q [ '<STR_LIT>' ] ) <EOL> return data <EOL> def main ( ) : <EOL> opts = get_options ( ) <EOL> es_url = er . ES_URL <EOL> ls_url = er . LS_URL <EOL> db_uri = er . DB_URI <EOL> if opts . conf : <EOL> config = ConfigParser . ConfigParser ( { '<STR_LIT>' : er . ES_URL , <EOL> '<STR_LIT>' : er . LS_URL , <EOL> '<STR_LIT>' : er . DB_URI } ) <EOL> config . read ( opts . conf ) <EOL> if config . has_section ( '<STR_LIT>' ) : <EOL> es_url = config . get ( '<STR_LIT>' , '<STR_LIT>' ) <EOL> ls_url = config . get ( '<STR_LIT>' , '<STR_LIT>' ) <EOL> db_uri = config . get ( '<STR_LIT>' , '<STR_LIT>' ) <EOL> classifier = er . Classifier ( opts . dir , es_url = es_url , db_uri = db_uri ) <EOL> fails = all_fails ( classifier ) <EOL> data = collect_metrics ( classifier , fails ) <EOL> engine = setup_template_engine ( opts . templatedir ) <EOL> html = classifying_rate ( fails , data , engine , classifier , ls_url ) <EOL> if opts . output : <EOL> with open ( opts . output , "<STR_LIT:w>" ) as f : <EOL> f . write ( html ) <EOL> else : <EOL> print html <EOL> if __name__ == "<STR_LIT:__main__>" : <EOL> main ( ) </s>
