/
views.py
executable file
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/
views.py
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# Copyright 2012 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
#
# Copyright 2012 Nebula, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
from django.conf import settings
from django.template.defaultfilters import floatformat # noqa
from django.utils import translation
from django.utils.translation import ugettext_lazy as _
from horizon import exceptions
from horizon.utils import csvbase
from openstack_dashboard import api
from openstack_dashboard import usage
######################################
# import pandas as pd
# import numpy as np
# import re
# import matplotlib
# matplotlib.use('Agg')
# import matplotlib.pyplot as plt
# islab_log_path = getattr(settings, 'ROOT_PATH') + '/../../logs'
# with open(islab_log_path + '/horizon.log') as f:
# islab_data = f.read()
# islab_data_line = islab_data.split('\n')
# islab_data_arr = []
# for i in range(len(islab_data_line)):
# _group = re.match("([A-Z]+)\:", islab_data_line[i][27:])
# if _group and _group.group(1):
# islab_data_arr.append({'date': islab_data_line[i][0:10], 'time': islab_data_line[i][11:19], 'type': _group.group(1), 'content': islab_data_line[i][27:], 'count': 1})
# islab_data_frame = pd.DataFrame(data=islab_data_arr)
# islab_data_frame_group = islab_data_frame.groupby(['date', 'type']).agg(np.sum)
# islab_data_frame_plot = islab_data_frame_group.unstack().plot(
# kind='bar',
# stacked=True,
# layout=("Date", "Number"),
# figsize=(10, 5)
# )
# islab_data_frame_plot.legend(loc=1, borderaxespad=0.)
# fig = islab_data_frame_plot.get_figure()
# fig.savefig(getattr(settings, 'ROOT_PATH') + "/static/dashboard/img/horizon-admin-overview.png")
######################################
class GlobalUsageCsvRenderer(csvbase.BaseCsvResponse):
columns = [_("Project Name"), _("VCPUs"), _("RAM (MB)"),
_("Disk (GB)"), _("Usage (Hours)"), _("More")]
def get_row_data(self):
for u in self.context['usage'].usage_list:
yield (u.project_name or u.tenant_id,
u.vcpus,
u.memory_mb,
u.local_gb,
floatformat(u.vcpu_hours, 2),
"x")
class GlobalOverview(usage.UsageView):
table_class = usage.GlobalUsageTable
usage_class = usage.GlobalUsage
template_name = 'admin/overview/usage.html'
csv_response_class = GlobalUsageCsvRenderer
def get_context_data(self, **kwargs):
context = super(GlobalOverview, self).get_context_data(**kwargs)
context['monitoring'] = getattr(settings, 'EXTERNAL_MONITORING', [])
return context
def get_data(self):
data = super(GlobalOverview, self).get_data()
# Pre-fill project names
try:
projects, has_more = api.keystone.tenant_list(self.request)
except Exception:
projects = []
exceptions.handle(self.request,
_('Unable to retrieve project list.'))
for instance in data:
project = filter(lambda t: t.id == instance.tenant_id, projects)
# If we could not get the project name, show the tenant_id with
# a 'Deleted' identifier instead.
if project:
instance.project_name = getattr(project[0], "name", None)
else:
deleted = _("Deleted")
instance.project_name = translation.string_concat(
instance.tenant_id, " (", deleted, ")")
return data