def test_update_autoclassification_bug(test_job, test_job_2,
classified_failures):
classified_failure = classified_failures[0]
user = User.objects.create()
# create some TextLogErrors attached to test_job_2
text_log_errors, _ = create_lines(test_job_2, [(test_line, {})])
# Job 1 has two failure lines so nothing should be updated
assert classified_failure.bug_number is None
# Create a BugJobMap
BugJobMap.create(
job_id=test_job.id,
bug_id=1234,
user=user,
)
mark_best_classification(text_log_errors[0], classified_failure)
assert classified_failure.bug_number is None
metadata = TextLogErrorMetadata.objects.get(
text_log_error__step__job=test_job_2)
metadata.failure_line = FailureLine.objects.get(pk=3)
metadata.save()
BugJobMap.create(
job_id=test_job_2.id,
bug_id=1234,
user=user,
)
classified_failure.refresh_from_db()
assert classified_failure.bug_number == 1234
def test_update_autoclassification_bug(test_job, test_job_2, classified_failures):
classified_failure = classified_failures[0]
user = User.objects.create()
# create some TextLogErrors attached to test_job_2
text_log_errors, _ = create_lines(test_job_2, [(test_line, {})])
# Job 1 has two failure lines so nothing should be updated
assert classified_failure.bug_number is None
# Create a BugJobMap
BugJobMap.create(
job_id=test_job.id,
bug_id=1234,
user=user,
)
mark_best_classification(text_log_errors[0], classified_failure)
assert classified_failure.bug_number is None
metadata = TextLogErrorMetadata.objects.get(text_log_error__step__job=test_job_2)
metadata.failure_line = FailureLine.objects.get(pk=3)
metadata.save()
BugJobMap.create(
job_id=test_job_2.id,
bug_id=1234,
user=user,
)
classified_failure.refresh_from_db()
assert classified_failure.bug_number == 1234
def classified_failures(test_job, text_log_errors_failure_lines, test_matcher,
failure_classifications):
from treeherder.model.models import ClassifiedFailure
_, failure_lines = text_log_errors_failure_lines
classified_failures = []
for failure_line in failure_lines:
if failure_line.job_guid == test_job.guid:
classified_failure = ClassifiedFailure.objects.create()
failure_line.error.create_match(test_matcher, classified_failure)
mark_best_classification(failure_line.error, classified_failure)
classified_failures.append(classified_failure)
return classified_failures
def test_update_autoclassification_bug(test_job, test_job_2, classified_failures):
classified_failure = classified_failures[0]
# Job 1 has two failure lines so nothing should be updated
assert test_job.update_autoclassification_bug(1234) is None
lines = [(test_line, {})]
error_lines, _ = create_lines(test_job_2, lines)
mark_best_classification(error_lines[0], classified_failures[0])
assert classified_failure.bug_number is None
metadata = TextLogErrorMetadata.objects.get(text_log_error__step__job=test_job_2)
metadata.failure_line = FailureLine.objects.get(pk=3)
metadata.save()
assert test_job_2.update_autoclassification_bug(1234) == classified_failures[0]
classified_failures[0].refresh_from_db()
assert classified_failures[0].bug_number == 1234
def classified_failures(test_job, text_log_errors_failure_lines, test_matcher,
failure_classifications):
from treeherder.model.models import ClassifiedFailure
from treeherder.services.elasticsearch import refresh_index
_, failure_lines = text_log_errors_failure_lines
classified_failures = []
for failure_line in failure_lines:
if failure_line.job_guid == test_job.guid:
classified_failure = ClassifiedFailure.objects.create()
failure_line.error.create_match(test_matcher, classified_failure)
mark_best_classification(failure_line.error, classified_failure)
classified_failures.append(classified_failure)
if settings.ELASTICSEARCH_URL:
refresh_index()
return classified_failures
def classified_failures(test_job, text_log_errors_failure_lines, test_matcher,
failure_classifications):
from treeherder.model.models import ClassifiedFailure
from treeherder.services.elasticsearch import refresh_index
_, failure_lines = text_log_errors_failure_lines
classified_failures = []
for failure_line in failure_lines:
if failure_line.job_guid == test_job.guid:
classified_failure = ClassifiedFailure.objects.create()
failure_line.error.create_match(test_matcher, classified_failure)
mark_best_classification(failure_line.error, classified_failure)
classified_failures.append(classified_failure)
if settings.ELASTICSEARCH_URL:
refresh_index()
return classified_failures