def get_tenant_metrics(tenant_id, scaling_groups, grouped_servers,
_print=False):
"""
Produce per-group metrics for all the groups of a tenant
:param list scaling_groups: Tenant's scaling groups as dict from CASS
:param dict grouped_servers: Servers from Nova grouped based on
scaling group ID.
:return: generator of (tenantId, groupId, desired, actual) GroupMetrics
"""
if _print:
print('processing tenant {} with groups {} and servers {}'.format(
tenant_id, len(scaling_groups), len(grouped_servers)))
groups = {g['groupId']: g for g in scaling_groups}
for group_id in set(groups.keys() + grouped_servers.keys()):
servers = grouped_servers.get(group_id, [])
if group_id in groups:
group = groups[group_id]
else:
group = {'groupId': group_id_from_metadata(servers[0]['metadata']),
'desired': 0}
servers = map(NovaServer.from_server_details_json, servers)
_len = compose(len, list, flip(filter, servers))
active = _len(lambda s: s.state == ServerState.ACTIVE)
bad = _len(lambda s: s.state in (ServerState.SHUTOFF,
ServerState.ERROR,
ServerState.DELETED))
yield GroupMetrics(tenant_id, group['groupId'], group['desired'],
active, len(servers) - bad - active)
def test_flip():
def f(a, b):
return a, b
assert flip(f, 'a', 'b') == ('b', 'a')
