def test_execute_with_mock_anitya(self, ecosystem, project, md5sum,
dist_git):
rdb()
s = create_db_scoped_session()
dummy_homepage = "http://project-homepage.com"
dummy_response = Response()
dummy_response.status_code = 200
s.add(Ecosystem(name='npm', backend=EcosystemBackend.npm))
s.commit()
DownstreamMapCache(
)[md5sum] = dist_git # fill in key-value mapping in cache
task = AnityaTask.create_test_instance(task_name='anitya')
args = {'ecosystem': ecosystem, 'name': project}
flexmock(task).should_receive(
"_get_project_homepage").once().and_return(dummy_homepage)
flexmock(task).should_receive("_get_artifact_hash").once().and_return(
md5sum)
flexmock(task).should_receive(
"_create_anitya_project").once().and_return(dummy_response)
flexmock(task).should_receive(
"_add_downstream_mapping").once().and_return(dummy_response)
results = task.execute(arguments=args)
assert results is None
def rdb():
session = create_db_scoped_session()
# TODO: we may need to run actual migrations here
# make sure all session objects from scoped_session get closed here
# otherwise drop_all() would hang indefinitely
session.close_all()
# NOTE: this also drops any data created by fixtures (e.g. builtin ecosystems),
# so if you want to use these, create them by hand before running your tests
# We can't use Base.metadata.drop_all(bind=session.bind), since they may be tables from
# e.g. bayesian server, that reference f8a_worker tables and will prevent dropping them
tables = session.bind.table_names()
for t in tables:
session.execute('drop table if exists "{t}" cascade'.format(t=t))
session.commit()
Base.metadata.create_all(bind=session.bind)
return session
def setup_method(self, method):
rdb()
self.s = create_db_scoped_session()
self.en = 'foo'
self.pn = 'bar'
self.vi = '1.1.1'
self.e = Ecosystem(name=self.en, backend=EcosystemBackend.maven)
self.p = Package(ecosystem=self.e, name=self.pn)
self.v = Version(package=self.p, identifier=self.vi)
self.a = Analysis(version=self.v, finished_at=datetime.datetime.now())
self.a2 = Analysis(version=self.v,
finished_at=datetime.datetime.now() +
datetime.timedelta(seconds=10))
self.s.add(self.a)
self.s.add(self.a2)
self.s.commit()
self.bp = BayesianPostgres(
connection_string=configuration.POSTGRES_CONNECTION)