Extracting common function into utils

Extracting common metering functins into utils/metering so
they can be reused in multiple places.
Moving old utils file under utils directory.

Change-Id: Id45b6237a68a894721e1b2051f64192781f02f8f
This commit is contained in:
Ladislav Smola 2014-07-31 16:11:52 +02:00
parent 8eaaf5529b
commit 7ed35dee84
8 changed files with 232 additions and 206 deletions

View File

@ -28,7 +28,7 @@ from tuskar_ui.api import tuskar
from tuskar_ui.cached_property import cached_property # noqa
from tuskar_ui.handle_errors import handle_errors # noqa
from tuskar_ui.test.test_data import heat_data
from tuskar_ui import utils
from tuskar_ui.utils import utils
TEST_DATA = test_utils.TestDataContainer()

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@ -24,7 +24,7 @@ from tuskar_ui.cached_property import cached_property # noqa
from tuskar_ui.handle_errors import handle_errors # noqa
from tuskar_ui.test.test_data import heat_data
from tuskar_ui.test.test_data import node_data
from tuskar_ui import utils
from tuskar_ui.utils import utils
TEST_DATA = test_utils.TestDataContainer()

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@ -11,16 +11,10 @@
# 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 datetime import datetime # noqa
from datetime import timedelta # noqa
from django.utils import timezone
import json
from django.core.urlresolvers import reverse_lazy
from django import http
from django.utils.http import urlencode
from django.utils.translation import ugettext_lazy as _
from django.views.generic import base
@ -30,13 +24,11 @@ from horizon import tabs as horizon_tabs
from horizon import views as horizon_views
from openstack_dashboard.api import base as api_base
from openstack_dashboard.api import ceilometer
from openstack_dashboard.dashboards.admin.metering import views as metering
from tuskar_ui import api
from tuskar_ui.infrastructure.nodes import forms
from tuskar_ui.infrastructure.nodes import tabs
from tuskar_ui.utils import metering as metering_utils
class IndexView(horizon_tabs.TabbedTableView):
@ -81,19 +73,20 @@ class DetailView(horizon_views.APIView):
# (meter label, url part, barchart (True/False))
context['meter_conf'] = (
(_('System Load'),
url_part('hardware.cpu.load.1min', False),
metering_utils.url_part('hardware.cpu.load.1min', False),
None),
(_('CPU Utilization'),
url_part('hardware.system_stats.cpu.util', True),
metering_utils.url_part('hardware.system_stats.cpu.util',
True),
'100'),
(_('Swap Utilization'),
url_part('swap-util', True),
metering_utils.url_part('swap-util', True),
'100'),
(_('Disk I/O '),
url_part('disk-io', False),
metering_utils.url_part('disk-io', False),
None),
(_('Network I/O '),
url_part('network-io', False),
metering_utils.url_part('network-io', False),
None),
)
return context
@ -161,29 +154,30 @@ class PerformanceView(base.TemplateView):
# Disk and Network I/O: data from 2 meters in one chart
if meter == 'disk-io':
meters = get_meters([
meters = metering_utils.get_meters([
'hardware.system_stats.io.raw_sent',
'hardware.system_stats.io.raw_received'
])
elif meter == 'network-io':
meters = get_meters([
meters = metering_utils.get_meters([
'hardware.network.ip.out_requests',
'hardware.network.ip.in_receives'
])
elif meter == 'swap-util':
meters = get_meters([
meters = metering_utils.get_meters([
'hardware.memory.swap.util',
'hardware.memory.swap.total'
])
else:
meters = get_meters([meter])
meters = metering_utils.get_meters([meter])
date_from, date_to = _calc_date_args(date_from,
date_to,
date_options)
date_from, date_to = metering_utils._calc_date_args(
date_from,
date_to,
date_options)
for meter_id, meter_name in meters:
resources, unit = query_data(
resources, unit = metering_utils.query_data(
request=request,
date_from=date_from,
date_to=date_to,
@ -219,193 +213,25 @@ class PerformanceView(base.TemplateView):
series = [util]
if series and barchart:
average, used, tooltip_average = get_barchart_stats(series,
unit)
average, used, tooltip_average = (
metering_utils.get_barchart_stats(series, unit))
if date_from:
start_datetime = date_from.strftime("%Y-%m-%dT%H:%M:%S")
if date_to:
end_datetime = date_to.strftime("%Y-%m-%dT%H:%M:%S")
json_output = create_json_output(series, start_datetime, end_datetime)
json_output = metering_utils.create_json_output(
series,
start_datetime,
end_datetime)
if series and barchart:
json_output = add_barchart_settings(json_output, average, used,
tooltip_average)
json_output = metering_utils.add_barchart_settings(
json_output,
average,
used,
tooltip_average)
return http.HttpResponse(json.dumps(json_output),
mimetype='application/json')
#TODO(lsmola) this should probably live in Horizon common
def query_data(request,
date_from,
date_to,
group_by,
meter,
period=None,
query=None,
additional_query=None):
if not period:
period = _calc_period(date_from, date_to, 50)
if additional_query is None:
additional_query = []
if date_from:
additional_query += [{'field': 'timestamp',
'op': 'ge',
'value': date_from}]
if date_to:
additional_query += [{'field': 'timestamp',
'op': 'le',
'value': date_to}]
# TODO(lsmola) replace this by logic implemented in I1 in bugs
# 1226479 and 1226482, this is just a quick fix for RC1
try:
meter_list = [m for m in metering.meter_list(request)
if m.name == meter]
unit = meter_list[0].unit
except Exception:
unit = ""
if group_by == "resources":
# TODO(lsmola) need to implement group_by groups of resources
resources = []
unit = ""
else:
ceilometer_usage = ceilometer.CeilometerUsage(request)
try:
resources = ceilometer_usage.resources_with_statistics(
query, [meter], period=period, stats_attr=None,
additional_query=additional_query)
except Exception:
resources = []
exceptions.handle(request,
_('Unable to retrieve statistics.'))
return resources, unit
#TODO(lsmola) push this function to Horizon common then delete this
def _calc_period(date_from, date_to, number_of_samples=400):
if date_from and date_to:
if date_to < date_from:
# TODO(lsmola) propagate the Value error through Horizon
# handler to the client with verbose message.
raise ValueError("Date to must be bigger than date "
"from.")
# get the time delta in seconds
delta = date_to - date_from
delta_in_seconds = delta.days * 24 * 3600 + delta.seconds
period = delta_in_seconds / number_of_samples
else:
# If some date is missing, just set static window to one day.
period = 3600 * 24
return period
#TODO(lsmola) push this function to Horizon common then delete this
def _calc_date_args(date_from, date_to, date_options):
# TODO(lsmola) all timestamps should probably work with
# current timezone. And also show the current timezone in chart.
if date_options == "other":
try:
if date_from:
date_from = datetime.strptime(date_from,
"%Y-%m-%d")
else:
# TODO(lsmola) there should be probably the date
# of the first sample as default, so it correctly
# counts the time window. Though I need ordering
# and limit of samples to obtain that.
pass
if date_to:
date_to = datetime.strptime(date_to,
"%Y-%m-%d")
# It return beginning of the day, I want the and of
# the day, so i will add one day without a second.
date_to = (date_to + timedelta(days=1) -
timedelta(seconds=1))
else:
date_to = timezone.now()
except Exception:
raise ValueError("The dates haven't been "
"recognized")
else:
try:
date_from = timezone.now() - timedelta(days=float(date_options))
date_to = timezone.now()
except Exception:
raise ValueError("The time delta must be an "
"integer representing days.")
return date_from, date_to
def url_part(meter_name, barchart):
d = {'meter': meter_name}
if barchart:
d['barchart'] = True
return urlencode(d)
def get_meter_name(meter):
return meter.replace('.', '_')
def get_meters(meters):
return [(m, get_meter_name(m)) for m in meters]
def get_barchart_stats(series, unit):
values = [point['y'] for point in series[0]['data']]
average = sum(values) / len(values)
used = values[-1]
first_date = series[0]['data'][0]['x']
last_date = series[0]['data'][-1]['x']
tooltip_average = _('Average %(average)s %(unit)s<br> From: '
'%(first_date)s, to: %(last_date)s') % (
dict(average=average, unit=unit,
first_date=first_date,
last_date=last_date)
)
return average, used, tooltip_average
def create_json_output(series, start_datetime, end_datetime):
return {
'series': series,
'settings': {
'renderer': 'StaticAxes',
'yMin': 0,
'xMin': start_datetime,
'xMax': end_datetime,
'higlight_last_point': True,
'auto_size': False,
'auto_resize': False,
'axes_x': False,
'axes_y': True,
'axes_y_label': False,
},
}
def add_barchart_settings(ret, average, used, tooltip_average):
ret['settings']['bar_chart_settings'] = {
'orientation': 'vertical',
'used_label_placement': 'left',
'width': 30,
'color_scale_domain': [0, 80, 80, 100],
'color_scale_range': [
'#0000FF',
'#0000FF',
'#FF0000',
'#FF0000'
],
'average_color_scale_domain': [0, 100],
'average_color_scale_range': ['#0000FF', '#0000FF']
}
ret['stats'] = {
'average': average,
'used': used,
'tooltip_average': tooltip_average,
}
return ret

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@ -17,7 +17,7 @@ import heatclient
from horizon import tabs
from tuskar_ui.infrastructure.overcloud import tables
from tuskar_ui import utils
from tuskar_ui.utils import utils
def _get_role_data(stack, role):

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@ -16,7 +16,7 @@ from django.utils.translation import ugettext_lazy as _
import horizon.workflows
from openstack_dashboard.api import neutron
from tuskar_ui import utils
from tuskar_ui.utils import utils
def make_field(name, Type, NoEcho, Default, Description, AllowedValues=None,

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200
tuskar_ui/utils/metering.py Normal file
View File

@ -0,0 +1,200 @@
# -*- coding: utf8 -*-
#
# 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 datetime import datetime # noqa
from datetime import timedelta # noqa
from django.utils.http import urlencode
from django.utils import timezone
from django.utils.translation import ugettext_lazy as _
from horizon import exceptions
from openstack_dashboard.api import ceilometer
from openstack_dashboard.dashboards.admin.metering import views as metering
#TODO(lsmola) this should probably live in Horizon common
def query_data(request,
date_from,
date_to,
group_by,
meter,
period=None,
query=None,
additional_query=None):
if not period:
period = _calc_period(date_from, date_to, 50)
if additional_query is None:
additional_query = []
if date_from:
additional_query += [{'field': 'timestamp',
'op': 'ge',
'value': date_from}]
if date_to:
additional_query += [{'field': 'timestamp',
'op': 'le',
'value': date_to}]
# TODO(lsmola) replace this by logic implemented in I1 in bugs
# 1226479 and 1226482, this is just a quick fix for RC1
try:
meter_list = [m for m in metering.meter_list(request)
if m.name == meter]
unit = meter_list[0].unit
except Exception:
unit = ""
if group_by == "resources":
# TODO(lsmola) need to implement group_by groups of resources
resources = []
unit = ""
else:
ceilometer_usage = ceilometer.CeilometerUsage(request)
try:
resources = ceilometer_usage.resources_with_statistics(
query, [meter], period=period, stats_attr=None,
additional_query=additional_query)
except Exception:
resources = []
exceptions.handle(request,
_('Unable to retrieve statistics.'))
return resources, unit
#TODO(lsmola) push this function to Horizon common then delete this
def _calc_period(date_from, date_to, number_of_samples=400):
if date_from and date_to:
if date_to < date_from:
# TODO(lsmola) propagate the Value error through Horizon
# handler to the client with verbose message.
raise ValueError("Date to must be bigger than date "
"from.")
# get the time delta in seconds
delta = date_to - date_from
delta_in_seconds = delta.days * 24 * 3600 + delta.seconds
period = delta_in_seconds / number_of_samples
else:
# If some date is missing, just set static window to one day.
period = 3600 * 24
return period
#TODO(lsmola) push this function to Horizon common then delete this
def _calc_date_args(date_from, date_to, date_options):
# TODO(lsmola) all timestamps should probably work with
# current timezone. And also show the current timezone in chart.
if date_options == "other":
try:
if date_from:
date_from = datetime.strptime(date_from,
"%Y-%m-%d")
else:
# TODO(lsmola) there should be probably the date
# of the first sample as default, so it correctly
# counts the time window. Though I need ordering
# and limit of samples to obtain that.
pass
if date_to:
date_to = datetime.strptime(date_to,
"%Y-%m-%d")
# It return beginning of the day, I want the and of
# the day, so i will add one day without a second.
date_to = (date_to + timedelta(days=1) -
timedelta(seconds=1))
else:
date_to = timezone.now()
except Exception:
raise ValueError("The dates haven't been "
"recognized")
else:
try:
date_from = timezone.now() - timedelta(days=float(date_options))
date_to = timezone.now()
except Exception:
raise ValueError("The time delta must be an "
"integer representing days.")
return date_from, date_to
def url_part(meter_name, barchart):
d = {'meter': meter_name}
if barchart:
d['barchart'] = True
return urlencode(d)
def get_meter_name(meter):
return meter.replace('.', '_')
def get_meters(meters):
return [(m, get_meter_name(m)) for m in meters]
def get_barchart_stats(series, unit):
values = [point['y'] for point in series[0]['data']]
average = sum(values) / len(values)
used = values[-1]
first_date = series[0]['data'][0]['x']
last_date = series[0]['data'][-1]['x']
tooltip_average = _('Average %(average)s %(unit)s<br> From: '
'%(first_date)s, to: %(last_date)s') % (
dict(average=average, unit=unit,
first_date=first_date,
last_date=last_date)
)
return average, used, tooltip_average
def create_json_output(series, start_datetime, end_datetime):
return {
'series': series,
'settings': {
'renderer': 'StaticAxes',
'yMin': 0,
'xMin': start_datetime,
'xMax': end_datetime,
'higlight_last_point': True,
'auto_size': False,
'auto_resize': False,
'axes_x': False,
'axes_y': True,
'axes_y_label': False,
},
}
def add_barchart_settings(ret, average, used, tooltip_average):
ret['settings']['bar_chart_settings'] = {
'orientation': 'vertical',
'used_label_placement': 'left',
'width': 30,
'color_scale_domain': [0, 80, 80, 100],
'color_scale_range': [
'#0000FF',
'#0000FF',
'#FF0000',
'#FF0000'
],
'average_color_scale_domain': [0, 100],
'average_color_scale_range': ['#0000FF', '#0000FF']
}
ret['stats'] = {
'average': average,
'used': used,
'tooltip_average': tooltip_average,
}
return ret