def crosscheck_quotas(filename=None):
"""Cross-check allocation and quota information for all tenants
"""
allocations = _get_current_allocations()
nova_api = hm_nova.client()
missing = []
mismatches = []
for uuid in allocations.keys():
alloc = allocations[uuid]
try:
quotas = nova_api.quotas.get(uuid)
except:
missing.append(alloc)
continue
if (quotas.instances != alloc['instance_quota'] \
or quotas.ram != alloc['ram_quota'] * 1024 \
or quotas.cores != alloc['core_quota']):
alloc['nova_quotas'] = quotas
mismatches.append(alloc)
print '{0} allocations, {1} missing tenants, {2} quota mismatches'.format(
len(allocations), len(missing), len(mismatches))
fields_to_report = [
("Tenant ID", lambda x: x['tenant_uuid']),
("Tenant Name", lambda x: x['tenant_name']),
("Modified time", lambda x: x['modified_time']),
("Instances", lambda x: x['instance_quota']),
("Nova instances", lambda x: x['nova_quotas'].instances),
("vCPU quota", lambda x: x['core_quota']),
("Nova vCPU quota", lambda x: x['nova_quotas'].cores),
("RAM quota", lambda x: x['ram_quota'] * 1024),
("Nova RAM quota", lambda x: x['nova_quotas'].ram)
]
csv_output(map(lambda x: x[0], fields_to_report),
map(lambda alloc: map(
lambda y: y[1](alloc),
fields_to_report),
mismatches),
filename=filename)
def crosscheck_usage(filename=None):
"""Cross-check that allocation and instantaneous usage information
for all tenants
"""
allocations = _get_current_allocations()
nova_api = hm_nova.client()
flavors = _get_flavor_map(nova_api)
missing = []
mismatches = []
for uuid in allocations.keys():
alloc = allocations[uuid]
usage = _get_usage(nova_api, flavors, uuid)
if (usage['instances'] > alloc['instance_quota']
or usage['vcpus'] > alloc['core_quota']
or usage['ram'] > alloc['ram_quota'] * 1024):
alloc['nova_usage'] = usage
mismatches.append(alloc)
print '{0} allocations, {1} missing tenants, {2} usage mismatches'.format(
len(allocations), len(missing), len(mismatches))
fields_to_report = [
("Tenant ID", lambda x: x['tenant_uuid']),
("Tenant Name", lambda x: x['tenant_name']),
("Modified time", lambda x: x['modified_time']),
("Instances", lambda x: x['instance_quota']),
("Nova instances", lambda x: x['nova_usage']['instances']),
("vCPU quota", lambda x: x['core_quota']),
("Nova vCPU usage", lambda x: x['nova_usage']['vcpus']),
("RAM quota", lambda x: x['ram_quota'] * 1024),
("Nova RAM usage", lambda x: x['nova_usage']['ram'])
]
csv_output(map(lambda x: x[0], fields_to_report),
map(lambda alloc: map(
lambda y: y[1](alloc),
fields_to_report),
mismatches),
filename=filename)
def quota_reversions(infile=None, id_col=1, cores_col=2,
instances_col=3, outfile=None):
tenants = {};
if infile != None:
with open(infile, 'rb') as csvfile:
for row in csv.reader(csvfile, delimiter=','):
try:
tenants[row[id_col]] = [int(row[cores_col]),
int(row[instances_col])]
except:
continue
allocations = _get_current_allocations()
nova_api = hm_nova.client()
flavors = _get_flavor_map(nova_api)
updates = []
for uuid in allocations.keys():
alloc = allocations[uuid]
if len(tenants) > 0:
# Figure out what the quota should have been prior to
# the adjustment
if uuid in tenants:
deltas = tenants[uuid]
expected = {
'core_quota': alloc['core_quota'] + deltas[0],
'instance_quota': alloc['instance_quota'] + deltas[1],
'ram_quota': (alloc['ram_quota'] + deltas[0] * 4) * 1024
}
else:
# No data for this tenant
continue
else:
expected = None
try:
quotas = nova_api.quotas.get(uuid)
except:
continue
alloc['expected'] = expected
alloc['nova_quotas'] = quotas
alloc['deltas'] = deltas
updates.append(alloc)
# If the alloc and current quotas match, don't touch them
if (quotas.instances == alloc['instance_quota'] \
and quotas.ram == alloc['ram_quota'] * 1024 \
and quotas.cores == alloc['core_quota']):
alloc['update'] = 'no - quotas match'
continue
usage = _get_usage(nova_api, flavors, uuid)
alloc['nova_usage'] = usage
# If the usage is greater than the allocated quotas, don't touch them
if (usage['instances'] > alloc['instance_quota']
or usage['vcpus'] > alloc['core_quota']
or usage['ram'] > alloc['ram_quota'] * 1024):
alloc['update'] = 'no - over-quota usage'
continue
# If the difference between the nova quotas don't match the
# expected quotas (i.e. alloc + deltas), don't touch them
if (expected != None
and (expected['instance_quota'] != quotas.instances
or expected['ram_quota'] != quotas.ram
or expected['core_quota'] != quotas.cores)):
alloc['update'] = 'no - deltas wrong'
continue
alloc['update'] = 'yes'
fields_to_report = [
("Tenant ID", lambda x: x['tenant_uuid']),
("Tenant Name", lambda x: x['tenant_name']),
("Instances", lambda x: x['instance_quota']),
("vCPU quota", lambda x: x['core_quota']),
("Memory", lambda x: x['ram_quota'] * 1024),
("Nova Instance quota", lambda x: x['nova_quotas'].instances),
("Nova vCPU quota", lambda x: x['nova_quotas'].cores),
("Nova Memory quota", lambda x: x['nova_quotas'].ram),
("Nova Instance usage",
lambda x: x['nova_usage']['instances'] if 'nova_usage' in x else ''),
("Nova vCPU usage",
lambda x: x['nova_usage']['vcpus'] if 'nova_usage' in x else ''),
("Nova Memory usage",
lambda x: x['nova_usage']['ram'] if 'nova_usage' in x else ''),
("Instance delta", lambda x: x['deltas'][1] if 'deltas' in x else ''),
("vCPU delta", lambda x: x['deltas'][0] if 'deltas' in x else ''),
("Update", lambda x: x['update'])
]
csv_output(map(lambda x: x[0], fields_to_report),
map(lambda alloc: map(
lambda y: y[1](alloc),
fields_to_report),
updates),
filename=outfile)
