def annotate_machine_disk_util(internal_graph, node):
source = InfoGraphNode.get_attributes(node)['allocation']
machine = InfoGraphNode.get_node(internal_graph, source)
machine_util = InfoGraphNode.get_disk_utilization(machine)
if 'intel/use/disk/utilization' not in machine_util.columns:
disk_metric = 'intel/procfs/disk/utilization_percentage'
disk_util_df = InfoGraphNode.get_disk_utilization(node)
if disk_metric in disk_util_df.columns:
disk_util = disk_util_df[disk_metric]
disk_util = disk_util.fillna(0)
machine_util[InfoGraphNode.get_attributes(node)['name']] = disk_util
InfoGraphNode.set_disk_utilization(machine, machine_util)
else:
LOG.info('Disk util not Found use for node {}'.format(InfoGraphNode.get_name(node)))
else:
LOG.debug('Found use disk for node {}'.format(InfoGraphNode.get_name(node)))
def annotate_machine_disk_util(internal_graph, node):
source = InfoGraphNode.get_attributes(node)['allocation']
machine = InfoGraphNode.get_node(internal_graph, source)
machine_util = InfoGraphNode.get_disk_utilization(machine)
InfoGraphNode.set_disk_utilization(machine, pandas.DataFrame())
def utilization_scores(graph):
"""
Returns a dictionary with the scores of
all the nodes of the graph.
:param graph: InfoGraph
:return: dict[node_name] = score
"""
res = dict()
for node in graph.nodes(data=True):
node_name = InfoGraphNode.get_name(node)
res[node_name] = dict()
util = InfoGraphNode.get_utilization(node)
import analytics_engine.common as common
LOG = common.LOG
res[node_name]['compute'] = 0
res[node_name]['disk'] = 0
res[node_name]['network'] = 0
res[node_name]['memory'] = 0
if (isinstance(util, pandas.DataFrame) and
util.empty) or \
(not isinstance(util, pandas.DataFrame) and
util==None):
continue
# intel/use/
if 'intel/use/compute/utilization' in util:
res[node_name]['compute'] = (
util.get('intel/use/compute/utilization').mean()) / 100.0
elif 'intel/procfs/cpu/utilization_percentage' in util:
res[node_name]['compute'] = (util.get(
'intel/procfs/cpu/utilization_percentage').mean()) / 100.0
if 'intel/use/memory/utilization' in util:
res[node_name]['memory'] = (
util.get('intel/use/memory/utilization').mean()) / 100.0
elif 'intel/procfs/memory/utilization_percentage' in util:
res[node_name]['memory'] = (
util.get('intel/procfs/memory/utilization_percentage'
).mean()) / 100.0
if 'intel/use/disk/utilization' in util:
res[node_name]['disk'] = (
util.get('intel/use/disk/utilization').mean()) / 100.0
elif 'intel/procfs/disk/utilization_percentage' in util:
res[node_name]['disk'] = (util.get(
'intel/procfs/disk/utilization_percentage').mean()) / 100.0
if 'intel/use/network/utilization' in util:
res[node_name]['network'] = (
util.get('intel/use/network/utilization').mean()) / 100.0
elif 'intel/psutil/net/utilization_percentage' in util:
res[node_name]['network'] = (util.get(
'intel/psutil/net/utilization_percentage').mean()) / 100.0
# special handling of cpu, disk & network utilization if node is a machine
if InfoGraphNode.node_is_machine(node):
# mean from all cpu columns
cpu_util = InfoGraphNode.get_compute_utilization(node)
cpu_util['total'] = [
sum(row) / len(row) for index, row in cpu_util.iterrows()
]
res[node_name]['compute'] = cpu_util['total'].mean() / 100
# mean from all disk columns
disk_util = InfoGraphNode.get_disk_utilization(node)
if disk_util.empty:
res[node_name]['disk'] = 0.0
else:
disk_util['total'] = [
sum(row) / len(row)
for index, row in disk_util.iterrows()
]
res[node_name]['disk'] = disk_util['total'].mean() / 100
# mean from all nic columns
net_util = InfoGraphNode.get_network_utilization(node)
if net_util.empty:
res[node_name]['network'] = 0.0
else:
net_util['total'] = [
sum(row) / len(row)
for index, row in net_util.iterrows()
]
res[node_name]['network'] = net_util['total'].mean() / 100
# custom metric
if InfoGraphNode.get_type(
node) == InfoGraphNodeType.DOCKER_CONTAINER:
node_name = InfoGraphNode.get_docker_id(node)
res[node_name] = {}
if 'intel/docker/stats/cgroups/cpu_stats/cpu_usage/percentage' in util.columns:
res[node_name]['compute'] = util[
'intel/docker/stats/cgroups/cpu_stats/cpu_usage/percentage'].mean(
) / 100
else:
res[node_name]['compute'] = 0
if 'intel/docker/stats/cgroups/memory_stats/usage/percentage' in util.columns:
res[node_name]['memory'] = util[
'intel/docker/stats/cgroups/memory_stats/usage/percentage'].mean(
) / 100
else:
res[node_name]['memory'] = 0
if 'intel/docker/stats/network/utilization_percentage' in util.columns:
res[node_name]['network'] = util[
'intel/docker/stats/network/utilization_percentage'].mean(
) / 100
else:
res[node_name]['network'] = 0
if 'intel/docker/stats/cgroups/blkio_stats/io_time_recursive/percentage' in util.columns:
res[node_name]['disk'] = util[
'intel/docker/stats/cgroups/blkio_stats/io_time_recursive/percentage'].mean(
) / 100
else:
res[node_name]['disk'] = 0
return res
