def setUp(self):
super(TestTimeExecution, self).setUp()
self.topic = random_string(5)
self.backend = KafkaBackend(KAFKA_HOST, topic=self.topic)
settings.configure(backends=[self.backend])
def configure_metrics():
# Check feature flag
#if not settings.METRICS_ENABLED:
# return
if False:
elasticsearch = ElasticsearchBackend('localhost', index='metrics')
settings.configure(backends=[elasticsearch])
if True:
metrics_backends = []
async_es_metrics = ThreadedBackend(
ElasticsearchBackend,
backend_kwargs={
'host': 'localhost',
'port': '9200',
#'url_prefix': settings.ELASTICSEARCH_PREFIX,
#'use_ssl': settings.ELASTICSEARCH_SSL,
#'verify_certs': settings.ELASTICSEARCH_VERIFY_CERTS,
#'index': settings.ELASTICSEARCH_INDEX,
#'http_auth': settings.ELASTICSEARCH_AUTH,
},
)
metrics_backends.append(async_es_metrics)
settings.configure(backends=metrics_backends,
hooks=[
status_code_hook,
],
origin='inspire_next')
def setUp(self):
super(BaseTestTimeExecutionElasticSearch, self).setUp()
self.backend = ElasticsearchBackend(ELASTICSEARCH_HOST,
index="unittest")
settings.configure(backends=[self.backend])
self._clear()
def setUp(self):
super(TestTimeExecution, self).setUp()
self.backend = ElasticsearchBackend(
'elasticsearch',
index='unittest',
)
settings.configure(backends=[self.backend])
self._clear()
def setUp(self):
super(TestTimeExecution, self).setUp()
self.backend = ElasticsearchBackend(
'elasticsearch',
index='unittest',
)
settings.configure(backends=[self.backend])
self._clear()
def setUp(self):
self.qtime = 0.1
self.backend = ThreadedBackend(
elasticsearch.ElasticsearchBackend,
backend_args=('elasticsearch', ),
backend_kwargs=dict(index='threaded-metrics'),
queue_timeout=self.qtime,
)
settings.configure(backends=[self.backend])
self._clear(self.backend.backend)
def setUp(self):
self.qtime = 0.1
self.backend = ThreadedBackend(
elasticsearch.ElasticsearchBackend,
backend_args=('elasticsearch', ),
backend_kwargs=dict(index='threaded-metrics'),
queue_timeout=self.qtime,
)
settings.configure(backends=[self.backend])
self._clear(self.backend.backend)
def setUp(self):
super(TestTimeExecution, self).setUp()
self.database = "unittest"
self.backend = InfluxBackend(host="influx", database=self.database, use_udp=False)
try:
self.backend.client.create_database(self.database)
except InfluxDBClientError:
# Something blew up so ignore it
pass
settings.configure(backends=[self.backend])
def setUp(self):
super(TestTimeExecution, self).setUp()
self.database = 'unittest'
self.backend = InfluxBackend(host='influx',
database=self.database,
use_udp=False)
try:
self.backend.client.create_database(self.database)
except InfluxDBClientError:
# Something blew up so ignore it
pass
settings.configure(backends=[self.backend])
def setUp(self):
self.qsize = 10
self.qtimeout = 0.1
self.mocked_backend = mock.Mock(spec=elasticsearch.ElasticsearchBackend)
self.MockedBackendClass = mock.Mock(return_value=self.mocked_backend)
self.backend = ThreadedBackend(
self.MockedBackendClass,
backend_args=('arg1', 'arg2'),
backend_kwargs=dict(key1='kwarg1', key2='kwarg2'),
queue_maxsize=self.qsize,
queue_timeout=self.qtimeout,
)
self.backend.bulk_size = self.qsize / 2
self.backend.bulk_timeout = self.qtimeout * 2
settings.configure(backends=[self.backend])
def setUp(self):
self.qsize = 10
self.qtimeout = 0.1
self.mocked_backend = mock.Mock(
spec=elasticsearch.ElasticsearchBackend)
self.MockedBackendClass = mock.Mock(return_value=self.mocked_backend)
self.backend = ThreadedBackend(
self.MockedBackendClass,
backend_args=('arg1', 'arg2'),
backend_kwargs=dict(key1='kwarg1', key2='kwarg2'),
queue_maxsize=self.qsize,
queue_timeout=self.qtimeout,
)
self.backend.bulk_size = self.qsize / 2
self.backend.bulk_timeout = self.qtimeout * 2
settings.configure(backends=[self.backend])
