d010384fd3
Implements: blueprint rename-node-profiles-to-flavors Change-Id: Ic530041615d04878ff9586038abaf9e8dc7f707a
141 lines
4.1 KiB
Python
141 lines
4.1 KiB
Python
# -*- coding: utf8 -*-
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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from django.utils.translation import ugettext_lazy as _
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import horizon.tabs
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from tuskar_ui import api
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from tuskar_ui.infrastructure.flavors import tables
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def _get_unmatched_suggestions(request):
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unmatched_suggestions = []
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flavor_suggestions = [FlavorSuggestion.from_flavor(flavor)
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for flavor in api.Flavor.list(request)]
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for node in api.Node.list(request):
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node_suggestion = FlavorSuggestion.from_node(node)
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for flavor_suggestion in flavor_suggestions:
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if flavor_suggestion == node_suggestion:
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break
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else:
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unmatched_suggestions.append(node_suggestion)
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return unmatched_suggestions
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def get_flavor_suggestions(request):
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return set(_get_unmatched_suggestions(request))
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class FlavorsTab(horizon.tabs.TableTab):
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name = _("Flavors")
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slug = 'flavors'
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table_classes = (tables.FlavorsTable,)
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template_name = ("horizon/common/_detail_table.html")
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preload = False
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def get_flavors_data(self):
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flavors = api.Flavor.list(self.request)
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flavors.sort(key=lambda np: (np.vcpus, np.ram, np.disk))
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return flavors
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class FlavorSuggestion(object):
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"""Describe node parameters in a way that is easy to compare."""
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def __init__(self, vcpus=None, ram=None, disk=None, cpu_arch=None,
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ram_bytes=None, disk_bytes=None, node_id=None):
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self.vcpus = vcpus
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self.ram_bytes = ram_bytes or ram * 1024 * 1024 or 0
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self.disk_bytes = disk_bytes or disk * 1024 * 1024 * 1024 or 0
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self.cpu_arch = cpu_arch
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self.id = node_id
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@classmethod
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def from_node(cls, node):
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return cls(
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node_id=node.id,
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vcpus=int(node.properties['cpu']),
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ram_bytes=int(node.properties['ram']),
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disk_bytes=int(node.properties['local_disk']),
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# TODO(rdopieralski) Add architecture when available.
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)
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@classmethod
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def from_flavor(cls, flavor):
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return cls(
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vcpus=flavor.vcpus,
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ram_bytes=flavor.ram_bytes,
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disk_bytes=flavor.disk_bytes,
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# TODO(rdopieralski) Add architecture when available.
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)
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@property
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def name(self):
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return '%s-%s-%s-%s' % (
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self.vcpus or '0',
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self.cpu_arch or '',
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self.ram or '0',
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self.disk or '0',
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)
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@property
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def ram(self):
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return self.ram_bytes / 1024 / 1024
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@property
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def disk(self):
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return self.disk_bytes / 1024 / 1024 / 1024
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def __hash__(self):
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return self.name.__hash__()
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def __eq__(self, other):
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return self.name == other.name
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def __ne__(self, other):
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return not self == other
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def __repr__(self):
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return (
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'%s(vcpus=%r, ram_bytes=%r, disk_bytes=%r, '
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'cpu_arch=%r, node_id=%r)' % (
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self.__class__.__name__,
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self.vcpus,
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self.ram_bytes,
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self.disk_bytes,
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self.cpu_arch,
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self.id,
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)
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)
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class FlavorSuggestionsTab(horizon.tabs.TableTab):
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name = _("Flavor Suggestions")
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slug = 'flavor_suggestions'
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table_classes = (tables.FlavorSuggestionsTable,)
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template_name = ("horizon/common/_detail_table.html")
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preload = False
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def get_flavor_suggestions_data(self):
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return list(get_flavor_suggestions(self.request))
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class FlavorTabs(horizon.tabs.TabGroup):
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slug = 'flavor_tabs'
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tabs = (
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FlavorsTab,
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FlavorSuggestionsTab,
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)
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sticky = True
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