treeherder/tests/conftest.py

727 строки
22 KiB
Python

import copy
import datetime
import json
import os
import kombu
import pytest
import responses
from _pytest.monkeypatch import MonkeyPatch
from django.conf import settings
from rest_framework.test import APIClient
from treeherder.autoclassify.autoclassify import mark_best_classification
from treeherder.etl.jobs import store_job_data
from treeherder.etl.push import store_push_data
from treeherder.model.models import (Commit,
JobNote,
Push,
TextLogErrorMetadata,
User)
from treeherder.perf.models import (IssueTracker,
PerformanceAlert,
PerformanceAlertSummary,
PerformanceDatum,
PerformanceFramework,
PerformanceSignature)
from treeherder.services.pulse.exchange import get_exchange
def pytest_addoption(parser):
parser.addoption(
"--runslow",
action="store_true",
help="run slow tests",
)
def pytest_runtest_setup(item):
"""
Per-test setup.
- Add an option to run those tests marked as 'slow'
- Clear the django cache between runs
"""
if 'slow' in item.keywords and not item.config.getoption("--runslow"):
pytest.skip("need --runslow option to run")
from django.core.cache import cache
cache.clear()
@pytest.fixture(scope="session", autouse=True)
def block_unmocked_requests():
"""
Prevents requests from being made unless they are mocked.
Helps avoid inadvertent dependencies on external resources during the test run.
"""
def mocked_send(*args, **kwargs):
raise RuntimeError('Tests must mock all HTTP requests!')
# The standard monkeypatch fixture cannot be used with session scope:
# https://github.com/pytest-dev/pytest/issues/363
monkeypatch = MonkeyPatch()
# Monkeypatching here since any higher level would break responses:
# https://github.com/getsentry/responses/blob/0.5.1/responses.py#L295
monkeypatch.setattr('requests.adapters.HTTPAdapter.send', mocked_send)
yield monkeypatch
monkeypatch.undo()
@pytest.fixture
def elasticsearch(request):
from treeherder.services.elasticsearch import reinit_index, refresh_index
if not settings.ELASTICSEARCH_URL:
return
reinit_index()
refresh_index()
@pytest.fixture
def sample_data():
"""Returns a SampleData() object"""
from .sampledata import SampleData
return SampleData()
@pytest.fixture(scope='session')
def test_base_dir():
return os.path.dirname(__file__)
@pytest.fixture
def sample_push(sample_data):
return copy.deepcopy(sample_data.push_data)
@pytest.fixture(name='create_push')
def fixture_create_push():
"""Return a function to create a push"""
def create(repository,
revision='4c45a777949168d16c03a4cba167678b7ab65f76',
author='foo@bar.com'):
return Push.objects.create(
repository=repository,
revision=revision,
author=author,
time=datetime.datetime.now())
return create
@pytest.fixture(name='create_commit')
def fixture_create_commit():
"""Return a function to create a commit"""
def create(push, comments='Bug 12345 - This is a message'):
return Commit.objects.create(
push=push,
revision=push.revision,
author=push.author,
comments=comments)
return create
@pytest.fixture
def test_repository(transactional_db):
from treeherder.model.models import Repository, RepositoryGroup
RepositoryGroup.objects.create(
name="development",
description=""
)
r = Repository.objects.create(
dvcs_type="hg",
name=settings.TREEHERDER_TEST_REPOSITORY_NAME,
url="https://hg.mozilla.org/mozilla-central",
active_status="active",
codebase="gecko",
repository_group_id=1,
description="",
performance_alerts_enabled=True,
expire_performance_data=False
)
return r
@pytest.fixture
def test_issue_tracker(transactional_db):
return IssueTracker.objects.create(
name="Bugzilla",
task_base_url="https://bugzilla.mozilla.org/show_bug.cgi?id="
)
@pytest.fixture
def test_repository_2(test_repository):
from treeherder.model.models import Repository
return Repository.objects.create(
repository_group=test_repository.repository_group,
name=test_repository.name + '_2',
dvcs_type=test_repository.dvcs_type,
url=test_repository.url + '_2',
codebase=test_repository.codebase)
@pytest.fixture
def test_push(create_push, test_repository):
return create_push(test_repository)
@pytest.fixture
def test_commit(create_commit, test_push):
return create_commit(test_push)
@pytest.fixture(name='create_jobs')
def fixture_create_jobs(test_repository, failure_classifications):
"""Return a function to create jobs"""
from treeherder.model.models import Job
def create(jobs):
store_job_data(test_repository, jobs)
return [Job.objects.get(id=i) for i in range(1, len(jobs) + 1)]
return create
@pytest.fixture
def test_job(eleven_job_blobs, create_jobs):
return create_jobs(eleven_job_blobs[0:1])[0]
@pytest.fixture
def test_job_2(eleven_job_blobs, create_jobs):
return create_jobs(eleven_job_blobs[0:2])[1]
@pytest.fixture
def mock_log_parser(monkeypatch):
from celery import task
from treeherder.log_parser import tasks
@task
def task_mock(*args, **kwargs):
pass
monkeypatch.setattr(tasks, 'parse_logs', task_mock)
@pytest.fixture
def push_stored(test_repository, sample_push):
store_push_data(test_repository, sample_push)
return sample_push
@pytest.fixture
def eleven_job_blobs(sample_data, sample_push, test_repository, mock_log_parser):
store_push_data(test_repository, sample_push)
num_jobs = 11
jobs = sample_data.job_data[0:num_jobs]
max_index = len(sample_push) - 1
push_index = 0
blobs = []
for blob in jobs:
if push_index > max_index:
push_index = 0
# Modify job structure to sync with the push sample data
if 'sources' in blob:
del blob['sources']
blob['revision'] = sample_push[push_index]['revision']
blobs.append(blob)
push_index += 1
return blobs
@pytest.fixture
def eleven_jobs_stored(test_repository, failure_classifications, eleven_job_blobs):
"""stores a list of 11 job samples"""
store_job_data(test_repository, eleven_job_blobs)
@pytest.fixture
def taskcluster_jobs_stored(test_repository, sample_data):
"""stores a list of TaskCluster job samples"""
store_job_data(test_repository, sample_data.transformed_pulse_jobs)
@pytest.fixture
def test_job_with_notes(test_job, test_user):
"""test job with job notes."""
for failure_classification_id in [2, 3]:
JobNote.objects.create(job=test_job,
failure_classification_id=failure_classification_id,
user=test_user,
text="you look like a man-o-lantern")
test_job.refresh_from_db()
return test_job
@pytest.fixture
def activate_responses(request):
responses.start()
def fin():
responses.reset()
responses.stop()
request.addfinalizer(fin)
@pytest.fixture
def pulse_connection():
"""
Build a Pulse connection with the Kombu library
This is a non-lazy mirror of our Pulse service's build_connection as
explained in: https://bugzilla.mozilla.org/show_bug.cgi?id=1484196
"""
return kombu.Connection(settings.CELERY_BROKER_URL)
@pytest.fixture
def pulse_exchange(pulse_connection, request):
def build_exchange(name, create_exchange):
return get_exchange(pulse_connection, name, create=create_exchange)
return build_exchange
@pytest.fixture
def failure_lines(test_job, elasticsearch):
from tests.autoclassify.utils import test_line, create_failure_lines
return create_failure_lines(test_job,
[(test_line, {}),
(test_line, {"subtest": "subtest2"})])
@pytest.fixture
def failure_classifications(transactional_db):
from treeherder.model.models import FailureClassification
for name in ["not classified", "fixed by commit", "expected fail",
"intermittent", "infra", "intermittent needs filing",
"autoclassified intermittent"]:
FailureClassification(name=name).save()
@pytest.fixture
def text_log_errors_failure_lines(test_job, failure_lines):
from tests.autoclassify.utils import test_line, create_text_log_errors
lines = [(test_line, {}),
(test_line, {"subtest": "subtest2"})]
text_log_errors = create_text_log_errors(test_job, lines)
for error_line, failure_line in zip(text_log_errors, failure_lines):
TextLogErrorMetadata.objects.create(text_log_error=error_line,
failure_line=failure_line)
return text_log_errors, failure_lines
@pytest.fixture
def test_matcher(request):
return "TreeherderUnitTestDetector"
@pytest.fixture
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
@pytest.fixture
def test_user(db):
# a user *without* sheriff/staff permissions
user = User.objects.create(username="testuser1",
email='user@foo.com',
is_staff=False)
return user
@pytest.fixture
def test_ldap_user(db):
"""
A user whose username matches those generated for LDAP SSO logins,
and who does not have `is_staff` permissions.
"""
user = User.objects.create(username="mozilla-ldap/user@foo.com",
email='user@foo.com',
is_staff=False)
return user
@pytest.fixture
def test_sheriff(db):
# a user *with* sheriff/staff permissions
user = User.objects.create(username="testsheriff1",
email='sheriff@foo.com',
is_staff=True)
return user
@pytest.fixture
def test_perf_framework(transactional_db):
return PerformanceFramework.objects.create(
name='test_talos', enabled=True)
@pytest.fixture
def test_perf_signature(test_repository, test_perf_framework):
from treeherder.model.models import (MachinePlatform,
Option,
OptionCollection)
option = Option.objects.create(name='opt')
option_collection = OptionCollection.objects.create(
option_collection_hash='my_option_hash',
option=option)
platform = MachinePlatform.objects.create(
os_name='win',
platform='win7',
architecture='x86')
signature = PerformanceSignature.objects.create(
repository=test_repository,
signature_hash=(40*'t'),
framework=test_perf_framework,
platform=platform,
option_collection=option_collection,
suite='mysuite',
test='mytest',
has_subtests=False,
extra_options='e10s opt',
last_updated=datetime.datetime.now()
)
return signature
@pytest.fixture
def test_perf_signature_2(test_perf_signature):
return PerformanceSignature.objects.create(
repository=test_perf_signature.repository,
signature_hash=(20*'t2'),
framework=test_perf_signature.framework,
platform=test_perf_signature.platform,
option_collection=test_perf_signature.option_collection,
suite='mysuite2',
test='mytest2',
has_subtests=test_perf_signature.has_subtests,
extra_options=test_perf_signature.extra_options,
last_updated=datetime.datetime.now()
)
@pytest.fixture
def test_perf_data(test_perf_signature, eleven_jobs_stored):
from treeherder.model.models import Job
def normalized_time(hour):
return datetime.datetime(2018, 7, 3, hour)
# for making things easier, ids for jobs
# and push should be the same;
# also, we only need a subset of jobs
perf_jobs = Job.objects.filter(pk__in=range(7, 11)).order_by('push__time').all()
for index, job in enumerate(perf_jobs, start=1):
job.push_id = index
job.save()
perf_datum = PerformanceDatum.objects.create(
value=10,
push_timestamp=normalized_time(index),
job=job,
push=job.push,
repository=job.repository,
signature=test_perf_signature
)
perf_datum.push.time = normalized_time(index)
perf_datum.push.save()
return PerformanceDatum.objects.order_by('id').all()
@pytest.fixture
def mock_autoclassify_jobs_true(monkeypatch):
monkeypatch.setattr(settings, 'AUTOCLASSIFY_JOBS', True)
@pytest.fixture
def mock_bugzilla_api_request(monkeypatch):
"""Mock fetch_json() used by Bugzilla ETL to return a local sample file."""
import treeherder.etl.bugzilla
def _fetch_json(url, params=None):
tests_folder = os.path.dirname(__file__)
bug_list_path = os.path.join(
tests_folder,
"sample_data",
"bug_list.json"
)
with open(bug_list_path) as f:
return json.load(f)
monkeypatch.setattr(treeherder.etl.bugzilla,
'fetch_json',
_fetch_json)
@pytest.fixture
def bugs(mock_bugzilla_api_request):
from treeherder.etl.bugzilla import BzApiBugProcess
from treeherder.model.models import Bugscache
process = BzApiBugProcess()
process.run()
return Bugscache.objects.all()
@pytest.fixture
def client():
"""
A django-rest-framework APIClient instance:
http://www.django-rest-framework.org/api-guide/testing/#apiclient
"""
return APIClient()
@pytest.fixture
def authorized_sheriff_client(client, test_sheriff):
client.force_authenticate(user=test_sheriff)
return client
@pytest.fixture
def text_log_error_lines(test_job, failure_lines):
from tests.autoclassify.utils import create_text_log_errors
from treeherder.model.models import FailureLine
lines = [(item, {}) for item in FailureLine.objects.filter(job_guid=test_job.guid).values()]
errors = create_text_log_errors(test_job, lines)
return errors
@pytest.fixture
def test_perf_alert_summary(test_repository, push_stored, test_perf_framework, test_issue_tracker):
return PerformanceAlertSummary.objects.create(
repository=test_repository,
framework=test_perf_framework,
prev_push_id=1,
push_id=2,
manually_created=False,
created=datetime.datetime.now())
@pytest.fixture
def test_perf_alert_summary_2(test_perf_alert_summary):
return PerformanceAlertSummary.objects.create(
repository=test_perf_alert_summary.repository,
framework=test_perf_alert_summary.framework,
prev_push_id=test_perf_alert_summary.prev_push_id+1,
push_id=test_perf_alert_summary.push_id+1,
manually_created=False,
created=datetime.datetime.now())
@pytest.fixture
def test_perf_alert_summary_with_bug(test_repository, push_stored, test_perf_framework, test_issue_tracker):
return PerformanceAlertSummary.objects.create(
repository=test_repository,
framework=test_perf_framework,
prev_push_id=1,
push_id=2,
manually_created=False,
created=datetime.datetime.now(),
bug_number=123456,
bug_updated=datetime.datetime.now())
@pytest.fixture
def test_perf_alert(test_perf_signature, test_perf_alert_summary):
return PerformanceAlert.objects.create(
summary=test_perf_alert_summary,
series_signature=test_perf_signature,
is_regression=True,
amount_pct=0.5,
amount_abs=50.0,
prev_value=100.0,
new_value=150.0,
t_value=20.0)
@pytest.fixture
def test_conflicting_perf_alert(test_perf_signature, test_perf_alert_summary_2):
return PerformanceAlert.objects.create(
summary=test_perf_alert_summary_2,
series_signature=test_perf_signature,
is_regression=True,
amount_pct=0.5,
amount_abs=50.0,
prev_value=100.0,
new_value=150.0,
t_value=20.0)
@pytest.fixture
def test_perf_alert_2(test_perf_alert, test_perf_signature_2, test_perf_alert_summary_2):
return PerformanceAlert.objects.create(
summary=test_perf_alert_summary_2,
series_signature=test_perf_signature_2,
is_regression=True,
amount_pct=0.5,
amount_abs=50.0,
prev_value=100.0,
new_value=150.0,
t_value=20.0)
@pytest.fixture
def generic_reference_data(test_repository):
'''
Generic reference data (if you want to create a bunch of mock jobs)
'''
from treeherder.model.models import (BuildPlatform,
JobGroup,
JobType,
Machine,
MachinePlatform,
Option,
OptionCollection,
Product,
ReferenceDataSignatures)
class RefdataHolder:
pass
r = RefdataHolder()
r.option = Option.objects.create(name='my_option')
r.option_collection = OptionCollection.objects.create(
option_collection_hash='my_option_hash',
option=r.option)
r.option_collection_hash = r.option_collection.option_collection_hash
r.machine_platform = MachinePlatform.objects.create(
os_name="my_os",
platform="my_platform",
architecture="x86")
r.build_platform = BuildPlatform.objects.create(
os_name="my_os",
platform="my_platform",
architecture="x86")
r.machine = Machine.objects.create(name='mymachine')
r.job_group = JobGroup.objects.create(symbol='S', name='myjobgroup')
r.job_type = JobType.objects.create(symbol='j', name='myjob')
r.product = Product.objects.create(name='myproduct')
r.signature = ReferenceDataSignatures.objects.create(
name='myreferencedatasignaeture',
signature='1234',
build_os_name=r.build_platform.os_name,
build_platform=r.build_platform.platform,
build_architecture=r.build_platform.architecture,
machine_os_name=r.machine_platform.os_name,
machine_platform=r.machine_platform.platform,
machine_architecture=r.machine_platform.architecture,
job_group_name=r.job_group.name,
job_group_symbol=r.job_group.symbol,
job_type_name=r.job_type.name,
job_type_symbol=r.job_type.symbol,
option_collection_hash=r.option_collection_hash,
build_system_type='buildbot',
repository=test_repository.name,
first_submission_timestamp=0)
return r
@pytest.fixture
def bug_data(eleven_jobs_stored, test_repository, test_push, bugs):
from treeherder.model.models import (Job,
BugJobMap,
Option)
jobs = Job.objects.all()
bug_id = bugs[0].id
job_id = jobs[0].id
BugJobMap.create(job_id=job_id, bug_id=bug_id)
query_string = '?startday=2012-05-09&endday=2018-05-10&tree={}'.format(
test_repository.name)
return {
'tree': test_repository.name,
'option': Option.objects.first(),
'bug_id': bug_id,
'job': jobs[0],
'jobs': jobs,
'query_string': query_string
}
@pytest.fixture
def test_run_data(bug_data):
pushes = Push.objects.all()
time = pushes[0].time.strftime('%Y-%m-%d')
test_runs = 0
for push in list(pushes):
if push.time.strftime('%Y-%m-%d') == time:
test_runs += 1
return {
'test_runs': test_runs,
'push_time': time
}
@pytest.fixture
def generate_enough_perf_datum(test_repository, test_perf_signature):
# generate enough data for a proper alert to be generated (with enough
# extra data on both sides to make sure we're using the proper values
# to generate the actual alert)
for (push_id, job_id, value) in zip([1] * 30 + [2] * 30,
range(1, 61),
[1] * 30 + [2] * 30):
# push_id == result_set_id == timestamp for purposes of this test
push = Push.objects.get(id=push_id)
PerformanceDatum.objects.create(repository=test_repository,
result_set_id=push_id,
push_id=push_id,
signature=test_perf_signature,
value=value,
push_timestamp=push.time)