def test_multi_fetch_non_existant_series(self):
"""Test single fetch data for a series by name"""
path1, path2 = 'fake_path1', 'fake_path2'
reader1 = influxgraph.InfluxDBReader(
InfluxDBClient(database=self.db_name), path1)
reader2 = influxgraph.InfluxDBReader(
InfluxDBClient(database=self.db_name), path2)
nodes = [
influxgraph.classes.leaf.InfluxDBLeafNode(path1, reader1),
influxgraph.classes.leaf.InfluxDBLeafNode(path2, reader2)
]
time_info, data = self.finder.fetch_multi(
nodes, int(self.start_time.strftime("%s")),
int(self.end_time.strftime("%s")))
for metric_name in data:
self.assertFalse(
data[metric_name],
msg="Expected no data for non-existant series %s - got %s" % (
metric_name,
data,
))
fake_nodes = list(self.finder.find_nodes(Query('fake_pathy_path')))
time_info, data = self.finder.fetch_multi(
fake_nodes, int(self.start_time.strftime("%s")),
int(self.end_time.strftime("%s")))
self.assertFalse(data)
def test_reader_memcache_integration(self):
reader = influxgraph.InfluxDBReader(
InfluxDBClient(database=self.db_name),
self.series1,
memcache=influxgraph.utils.make_memcache_client('localhost'))
self.assertTrue(reader.fetch(int(self.start_time.strftime("%s")),
int(self.end_time.strftime("%s"))))
def test_get_non_existant_series(self):
"""Test single fetch data for a series by name"""
path = 'fake_path'
reader = influxgraph.InfluxDBReader(InfluxDBClient(
database=self.db_name), path)
time_info, data = reader.fetch(int(self.start_time.strftime("%s")),
int(self.end_time.strftime("%s")))
self.assertFalse(data,
msg="Expected no data for non-existant series %s - got %s" % (
path, data,))