def _init_matchers():
from treeherder.autoclassify import matchers
matchers.register()
from django.core.management.base import (BaseCommand,
CommandError)
from treeherder.autoclassify import matchers
from treeherder.model.models import (FailureLine,
FailureMatch,
Matcher)
logger = logging.getLogger(__name__)
# The minimum goodness of match we need to mark a particular match as the best match
AUTOCLASSIFY_CUTOFF_RATIO = 0.8
# Initialisation needed to associate matcher functions with the matcher objects
matchers.register()
class Command(BaseCommand):
args = '<job_guid>, <repository>'
help = 'Mark failures on a job.'
def handle(self, *args, **options):
if not len(args) == 2:
raise CommandError('3 arguments required, %s given' % len(args))
job_id, repository = args
match_errors(repository, job_id)
def _init_matchers():
from treeherder.autoclassify import matchers
matchers.register()
import logging
from collections import defaultdict
from django.core.management.base import (BaseCommand, CommandError)
from treeherder.autoclassify import matchers
from treeherder.model.models import (FailureLine, FailureMatch, Matcher)
logger = logging.getLogger(__name__)
# The minimum goodness of match we need to mark a particular match as the best match
AUTOCLASSIFY_CUTOFF_RATIO = 0.8
# Initialisation needed to associate matcher functions with the matcher objects
matchers.register()
class Command(BaseCommand):
args = '<job_guid>, <repository>'
help = 'Mark failures on a job.'
def handle(self, *args, **options):
if not len(args) == 2:
raise CommandError('3 arguments required, %s given' % len(args))
job_id, repository = args
match_errors(repository, job_id)
def match_errors(repository, job_guid):
