dbfcc97e89
blueprint quantum-floating-ip This commit allows OpenStack dashboard users to use Quantum floating IP feature directly using Quantum API rather than Nova Proxy. By this users can associates a floating IP per virtual NIC. blueprint nova-net-quantum-abstraction This commit defines an abstract class in api/network.py. This class provides common interfaces related to network features duplicated in Nova and Quantum. A concrete class to handle operations should be defined in api/nova.py or api/quantum.py. Change-Id: I780356a9f41e72e32ce1877d390ac7f99e96899c
121 lines
4.3 KiB
Python
121 lines
4.3 KiB
Python
from collections import defaultdict
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import itertools
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from horizon import exceptions
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from horizon.utils.memoized import memoized
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from openstack_dashboard.api import nova, cinder, network
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from openstack_dashboard.api.base import is_service_enabled, QuotaSet
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class QuotaUsage(dict):
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""" Tracks quota limit, used, and available for a given set of quotas."""
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def __init__(self):
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self.usages = defaultdict(dict)
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def __getitem__(self, key):
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return self.usages[key]
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def __setitem__(self, key, value):
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raise NotImplemented("Directly setting QuotaUsage values is not "
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"supported. Please use the add_quota and "
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"tally methods.")
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def __repr__(self):
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return repr(dict(self.usages))
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def add_quota(self, quota):
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""" Adds an internal tracking reference for the given quota. """
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if quota.limit is None or quota.limit == -1:
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# Handle "unlimited" quotas.
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self.usages[quota.name]['quota'] = float("inf")
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self.usages[quota.name]['available'] = float("inf")
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else:
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self.usages[quota.name]['quota'] = int(quota.limit)
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def tally(self, name, value):
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""" Adds to the "used" metric for the given quota. """
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value = value or 0 # Protection against None.
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# Start at 0 if this is the first value.
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if 'used' not in self.usages[name]:
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self.usages[name]['used'] = 0
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# Increment our usage and update the "available" metric.
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self.usages[name]['used'] += int(value) # Fail if can't coerce to int.
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self.update_available(name)
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def update_available(self, name):
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""" Updates the "available" metric for the given quota. """
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available = self.usages[name]['quota'] - self.usages[name]['used']
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if available < 0:
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available = 0
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self.usages[name]['available'] = available
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def _get_quota_data(request, method_name, disabled_quotas=[]):
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quotasets = []
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tenant_id = request.user.tenant_id
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quotasets.append(getattr(nova, method_name)(request, tenant_id))
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qs = QuotaSet()
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if 'volumes' not in disabled_quotas:
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quotasets.append(getattr(cinder, method_name)(request, tenant_id))
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for quota in itertools.chain(*quotasets):
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if quota.name not in disabled_quotas:
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qs[quota.name] = quota.limit
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return qs
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def get_default_quota_data(request, disabled_quotas=[]):
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return _get_quota_data(request, "default_quota_get", disabled_quotas)
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def get_tenant_quota_data(request, disabled_quotas=[]):
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return _get_quota_data(request, "tenant_quota_get", disabled_quotas)
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@memoized
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def tenant_quota_usages(request):
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# Get our quotas and construct our usage object.
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disabled_quotas = []
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if not is_service_enabled(request, 'volume'):
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disabled_quotas.extend(['volumes', 'gigabytes'])
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usages = QuotaUsage()
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for quota in get_tenant_quota_data(request, disabled_quotas):
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usages.add_quota(quota)
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# Get our usages.
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floating_ips = network.tenant_floating_ip_list(request)
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flavors = dict([(f.id, f) for f in nova.flavor_list(request)])
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instances = nova.server_list(request)
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# Fetch deleted flavors if necessary.
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missing_flavors = [instance.flavor['id'] for instance in instances
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if instance.flavor['id'] not in flavors]
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for missing in missing_flavors:
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if missing not in flavors:
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try:
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flavors[missing] = nova.flavor_get(request, missing)
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except:
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flavors[missing] = {}
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exceptions.handle(request, ignore=True)
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usages.tally('instances', len(instances))
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usages.tally('floating_ips', len(floating_ips))
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if 'volumes' not in disabled_quotas:
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volumes = cinder.volume_list(request)
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usages.tally('gigabytes', sum([int(v.size) for v in volumes]))
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usages.tally('volumes', len(volumes))
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# Sum our usage based on the flavors of the instances.
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for flavor in [flavors[instance.flavor['id']] for instance in instances]:
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usages.tally('cores', getattr(flavor, 'vcpus', None))
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usages.tally('ram', getattr(flavor, 'ram', None))
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# Initialise the tally if no instances have been launched yet
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if len(instances) == 0:
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usages.tally('cores', 0)
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usages.tally('ram', 0)
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return usages
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