def test_collect_performance_stats_unsupported_metric(self,
mock_hosts_stats):
mock_hosts_stats.return_value = {
"statsSpecificResponses": [
{
"successful": True,
"message": None,
"startTimeInUsecs": 1476739262143200,
"intervalInSecs": 20,
"metric": "hypervisor_memory_usage_ppm",
"values": [12345, 12345]
}
]
}
cluster = AcropolisCluster(self.cluster_metadata)
nodes = [mock.Mock(spec=AcropolisNode) for _ in xrange(4)]
for id, node in enumerate(nodes):
node.node_id.return_value = id
node.cpu_capacity_in_hz = 12345
with mock.patch.object(cluster, "nodes") as mock_nodes:
mock_nodes.return_value = nodes
with mock.patch.object(cluster, "metrics") as mock_metrics:
mock_metrics.return_value = [
CurieMetric(name=CurieMetric.kDatastoreRead,
description="This should not be supported.",
instance="*",
type=CurieMetric.kGauge,
consolidation=CurieMetric.kAvg,
unit=CurieMetric.kKilobytes,
rate=CurieMetric.kPerSecond)]
with self.assertRaises(CurieTestException):
cluster.collect_performance_stats()
def test_collect_performance_stats_empty(self, mock_hosts_stats):
mock_hosts_stats.return_value = {
"statsSpecificResponses": [
{
"successful": True,
"message": None,
"startTimeInUsecs": 1476739262143200,
"intervalInSecs": 20,
"metric": "hypervisor_memory_usage_ppm",
"values": []
},
{
"successful": True,
"message": None,
"startTimeInUsecs": 1476739262143200,
"intervalInSecs": 20,
"metric": "hypervisor_num_transmitted_bytes",
"values": []
},
{
"successful": True,
"message": None,
"startTimeInUsecs": 1476739262143200,
"intervalInSecs": 20,
"metric": "hypervisor_cpu_usage_ppm",
"values": []
},
{
"successful": True,
"message": None,
"startTimeInUsecs": 1476739262143200,
"intervalInSecs": 20,
"metric": "hypervisor_num_received_bytes",
"values": []
}
]
}
cluster = AcropolisCluster(self.cluster_metadata)
nodes = [mock.Mock(spec=AcropolisNode) for _ in xrange(4)]
for id, node in enumerate(nodes):
node.node_id.return_value = id
node.cpu_capacity_in_hz = 12345
with mock.patch.object(cluster, "nodes") as mock_nodes:
mock_nodes.return_value = nodes
results_map = cluster.collect_performance_stats()
self.assertEqual(results_map.keys(), sorted(results_map.keys()))
for node_id in results_map:
self.assertEqual(len(results_map[node_id]),
len(cluster.metrics()))