def __init__(self, msd_path, vim, title=None):
# Parse the msd file
LOG.info('parsing msd: {0}'.format(msd_path))
self.msd_dict = load_yaml(msd_path)
# the VIM class where the monitoring is installed (son-emu manager)
self.vim = vim
# initialize a new Grafana dashboard
self.grafana = Grafana()
# get msd file parameters
if title is None:
title = self.msd_dict.get('dashboard')
self.dashboard = title
self.version = self.msd_dict.get('version')
# get msd VNF metrics to monitor
self.vnf_metrics = self.msd_dict.get('vnf_metrics', [])
# get msd NSD links to monitor
self.nsd_links = self.msd_dict.get('nsd_links', [])
# cookie integer, unique per monitred flow
self.cookie_counter = COOKIE_START
def __init__(self, msd_path, vim, title=None):
# Parse the msd file
LOG.info('parsing msd: {0}'.format(msd_path))
self.msd_dict = load_yaml(msd_path)
# the VIM class where the monitoring is installed (son-emu manager)
self.vim = vim
# initialize a new Grafana dashboard
self.grafana = Grafana()
# get msd file parameters
if title is None:
title = self.msd_dict.get('dashboard')
self.dashboard = title
self.version = self.msd_dict.get('version')
# get msd VNF metrics to monitor
self.vnf_metrics = self.msd_dict.get('vnf_metrics', [])
# get msd NSD links to monitor
self.nsd_links = self.msd_dict.get('nsd_links', [])
# cookie integer, unique per monitred flow
self.cookie_counter = COOKIE_START
def start_msd(self, file=None, **kwargs):
# also start son-monitor containers
self.start_containers()
# Parse the msd file
logging.info("parsing msd: {0}".format(file))
msd = load_yaml(file)
# initialize a new Grafana dashboard
self.grafana = Grafana()
dashboard_name = msd["dashboard"]
self.grafana.init_dashboard(title=dashboard_name)
# Install the vnf metrics
self.install_vnf_metrics(msd, dashboard_name)
# install the link metrics
# first make sure everything is stopped
# self.install_nsd_links(msd, 'stop', dashboard_name)
self.install_nsd_links(msd, "start", dashboard_name)
# execute the SAP commands
# first make sure everything is stopped
# self.install_sap_commands(msd, "stop")
self.install_sap_commands(msd, "start")
return "msd metrics installed"
def stop_msd(self, file=None, **kwargs):
logging.info("parsing msd: {0}".format(file))
msd = load_yaml(file)
# clear the dashboard
self.grafana = Grafana()
dashboard_name = msd["dashboard"]
self.grafana.del_dashboard(title=dashboard_name)
# delete all installed flow_metrics
self.install_nsd_links(msd, "stop", dashboard_name)
# kill all the SAP commands
self.install_sap_commands(msd, "stop")
sleep(3)
# also stop son-monitor containers
self.stop_containers()
return "msd metrics deleted"
class msd():
def __init__(self, msd_file, vim):
# Parse the msd file
LOG.info('parsing msd: {0}'.format(msd_file))
self.msd_dict = load_yaml(msd_file)
# the VIM class where the monitoring is installed (son-emu manager)
self.vim = vim
# initialize a new Grafana dashboard
self.grafana = Grafana()
# get msd file parameters
self.dashboard = self.msd_dict.get('dashboard')
self.version = self.msd_dict.get('version')
# get msd VNF metrics to monitor
self.vnf_metrics = self.msd_dict.get('vnf_metrics')
# get msd NSD links to monitor
self.nsd_links = self.msd_dict.get('nsd_links')
# cookie integer, unique per monitred flow
self.cookie_counter = COOKIE_START
def start(self):
# init the dashboard
self.grafana.init_dashboard(title=self.dashboard)
# install and export metrics from the MSD file
self.set_vnf_metrics('start')
self.set_nsdlink_metrics('start')
def stop(self):
# clear the dashboard
self.grafana.del_dashboard(title=self.dashboard)
# remove metrics from the MSD file
self.set_vnf_metrics('stop')
self.set_nsdlink_metrics('stop')
def set_vnf_metrics(self, action):
for metric_group in self.vnf_metrics:
graph_list = []
title = metric_group['description']
graph_list = self.vnfmetric_classifier(metric_group, action)
if action == 'start':
if 'count' in metric_group['metric_type']:
self.grafana.add_panel(metric_list=graph_list, title=title, dashboard_name=self.dashboard,
graph_type='bars')
else:
self.grafana.add_panel(metric_list=graph_list, title=title, dashboard_name=self.dashboard)
# execute the correct function tto start/stop the metric_type
def vnfmetric_classifier(self, metric_group, action):
compute_metric_dict = {'start': self.start_compute_metric}
compute_metrics = ['cpu', 'mem']
testvnf_metric_dict = {'start': self.start_testvnf_metric}
testvnf_metrics = ['packet_loss', 'jitter']
network_metric_dict = {'start': self.start_network_metric, 'stop': self.stop_network_metric}
network_metrics = ['packet_rate', 'byte_rate', 'packet_count', 'byte_count',
'packet_rate_cadv', 'byte_rate_cadv', 'packet_count_cadv', 'byte_count_cadv']
metric_type = metric_group['metric_type']
LOG.info('metric_type:{0}'.format(metric_type))
graph_list = []
for vnf_id in metric_group.get('vnf_ids', []):
graph_dict = {}
# Monitor metrics exported by Test-VNFs
if metric_type in testvnf_metrics:
function = testvnf_metric_dict.get(action)
if function:
graph_dict = function(metric_group, vnf_id)
# monitor compute stats (exported by cAdvisor in son-emu)
elif metric_type in compute_metrics:
function = compute_metric_dict.get(action)
if function:
graph_dict = function(metric_group, vnf_id)
# monitor network stats (exported by Ryu/cAdvisor in son-emu)
elif metric_type in network_metrics:
function = network_metric_dict.get(action)
if function:
graph_dict = function(metric_group, vnf_id)
else:
logging.info("No query found for metric type: {0}".format(metric_type))
continue
graph_list.append(graph_dict)
return graph_list
def start_testvnf_metric(self, metric_group, vnf_id):
# make default description
desc = vnf_id.get("description")
if not desc:
desc = vnf_id['vnf']
metric_type = metric_group['metric_type']
# set correct Prometheus query
query =test2vnfquery[metric_type].format(vnf_id['vnf'])
graph_dict = dict(desc=desc, metric=query)
return graph_dict
def start_compute_metric(self, metric_group, vnf_id):
# make default description
desc = vnf_id.get("description")
if not desc:
desc = vnf_id['vnf']
metric_type = metric_group['metric_type']
# set correct Prometheus query
query = compute2vnfquery[metric_type].format(vnf_id['vnf'])
graph_dict = dict(desc=desc, metric=query)
return graph_dict
# network metrics gathered by the network interface counters
def start_network_metric(self, metric_group, vnf_id):
metric_type = metric_group['metric_type']
metric_type2 = vnf_id['direction'] + "_" + metric_type
vnf_name = parse_vnf_name(vnf_id['vnf'])
vnf_interface = parse_vnf_interface(vnf_id['vnf'])
flow_metric = metric2flow_metric[metric_type2]
# metrics of cadvisor al already exported by default
if not '_cadv' in metric_type:
self.vim.monitor_interface('start', vnf_name + ':' + vnf_interface, flow_metric)
query = network2vnfquery[metric_type2].format(vnf_name, vnf_interface)
# make default description
desc = vnf_id.get("description")
if not desc:
desc = vnf_id['vnf'] + ':' + vnf_id['direction']
graph_dict = dict(desc=desc, metric=query)
return graph_dict
def stop_network_metric(self, metric_group, vnf_id):
metric_type = metric_group['metric_type']
metric_type2 = vnf_id['direction'] + "_" + metric_type
vnf_name = parse_vnf_name(vnf_id['vnf'])
vnf_interface = parse_vnf_interface(vnf_id['vnf'])
flow_metric = metric2flow_metric[metric_type2]
# metrics of cadvisor al already exported by default
if not '_cadv' in metric_type:
self.vim.monitor_interface('stop', vnf_name + ':' + vnf_interface, flow_metric)
return
def set_nsdlink_metrics(self, action):
for metric_group in self.nsd_links:
title = metric_group['description']
graph_list = self.nsdlink_classifier(metric_group, action)
if action == 'start':
if 'count' in metric_group['metric_type']:
self.grafana.add_panel(metric_list=graph_list, title=title, dashboard_name=self.dashboard,
graph_type='bars')
else:
self.grafana.add_panel(metric_list=graph_list, title=title, dashboard_name=self.dashboard)
# execute the correct function tto start/stop the metric_type
def nsdlink_classifier(self, metric_group, action):
nsdlink_metric_dict = {'start': self.start_nsdlink_metric, 'stop': self.stop_nsdlink_metric}
nsdlink_metrics = ['packet_rate', 'byte_rate', 'packet_count', 'byte_count',
'packet_rate_cadv', 'byte_rate_cadv', 'packet_count_cadv', 'byte_count_cadv']
graph_list = []
metric_type = metric_group['metric_type']
LOG.info('metric_type:{0}'.format(metric_type))
#cookie = self.cookie_counter
for nsdlink_id in metric_group.get('link_ids', []):
graph_dict = {}
# monitor network stats (exported by Ryu/cAdvisor in son-emu)
if metric_type in nsdlink_metrics:
function = nsdlink_metric_dict.get(action)
if function:
graph_dict = function(metric_group, nsdlink_id)
# increment cookie when a match flow is installed
#if nsdlink_id.get('match'): cookie += 1
else:
logging.info("No query found for metric type: {0}".format(metric_type))
continue
graph_list.append(graph_dict)
return graph_list
# install flow_metrics for a specified chain
def start_nsdlink_metric(self, metric_group, nsdlink_id):
# install the link metric
title = metric_group['description']
metric_type = metric_group['metric_type']
metric_type2 = nsdlink_id['direction'] + "_" + metric_type
source = nsdlink_id['source']
destination = nsdlink_id['destination']
direction = nsdlink_id['direction']
if 'rx' in direction:
vnf_name = parse_vnf_name(destination)
vnf_interface = parse_vnf_interface(destination)
elif 'tx' in direction:
vnf_name = parse_vnf_name(source)
vnf_interface = parse_vnf_interface(source)
# make default description
desc = nsdlink_id.get("description")
if not desc:
desc = nsdlink_id['link_id'] + ':' + nsdlink_id['direction']
# if match is empty then it is a total interface counter
if not nsdlink_id.get('match'):
flow_metric = metric2flow_metric[metric_type2]
# metrics of cadvisor al already exported by default
if not '_cadv' in metric_type:
self.vim.monitor_interface('start', vnf_name + ':' + vnf_interface, flow_metric)
query = network2vnfquery[metric_type2].format(vnf_name, vnf_interface)
graph_dict = dict(desc=desc, metric=query)
# if a match is given, install a flow specific counter
else:
flow_metric = metric2flow_metric[metric_type2]
source = nsdlink_id['source']
destination = nsdlink_id['destination']
match = nsdlink_id['match']
# install the flow and export the metric
self.vim.flow_total('start', source, destination, flow_metric, self.cookie_counter, match=match,
bidirectional=False, priority=MONITOR_FLOW_PRIORITY)
query = metric2flowquery[metric_type2].format(self.cookie_counter, vnf_name, vnf_interface)
graph_dict = dict(desc=desc, metric=query)
self.cookie_counter += 1
return graph_dict
# delete flow_metrics for a specified chain
def stop_nsdlink_metric(self, metric_group, nsdlink_id):
# install the link metrics
title = metric_group['description']
metric_type = metric_group['metric_type']
metric_type2 = nsdlink_id['direction'] + "_" + metric_type
source = nsdlink_id['source']
destination = nsdlink_id['destination']
direction = nsdlink_id['direction']
if 'rx' in direction:
vnf_name = parse_vnf_name(destination)
vnf_interface = parse_vnf_interface(destination)
elif 'tx' in direction:
vnf_name = parse_vnf_name(source)
vnf_interface = parse_vnf_interface(source)
# if match is empty then it is a total interface counter
if not nsdlink_id.get('match'):
flow_metric = metric2flow_metric[metric_type2]
# metrics of cadvisor al already exported by default
if not '_cadv' in metric_type:
self.vim.monitor_interface('stop', vnf_name + ':' + vnf_interface, flow_metric)
# if a match is given, uninstall a flow specific counter
else:
flow_metric = metric2flow_metric[metric_type2]
source = nsdlink_id['source']
destination = nsdlink_id['destination']
match = nsdlink_id['match']
# install the flow and export the metric
self.vim.flow_total('stop', source, destination, flow_metric, self.cookie_counter, match=match,
bidirectional=False, priority=MONITOR_FLOW_PRIORITY)
self.cookie_counter += 1
class msd():
def __init__(self, msd_path, vim, title=None):
# Parse the msd file
LOG.info('parsing msd: {0}'.format(msd_path))
self.msd_dict = load_yaml(msd_path)
# the VIM class where the monitoring is installed (son-emu manager)
self.vim = vim
# initialize a new Grafana dashboard
self.grafana = Grafana()
# get msd file parameters
if title is None:
title = self.msd_dict.get('dashboard')
self.dashboard = title
self.version = self.msd_dict.get('version')
# get msd VNF metrics to monitor
self.vnf_metrics = self.msd_dict.get('vnf_metrics', [])
# get msd NSD links to monitor
self.nsd_links = self.msd_dict.get('nsd_links', [])
# cookie integer, unique per monitred flow
self.cookie_counter = COOKIE_START
def start(self, title=None, overwrite=True):
if title is None:
title = self.dashboard
# init the dashboard
self.grafana.init_dashboard(title=title, overwrite=overwrite)
metrics = self.get_metrics()
self.start_grafana(metrics)
def stop(self):
# clear the dashboard
self.grafana.del_dashboard(title=self.dashboard)
# remove metrics from the MSD file
self.set_vnf_metrics('stop')
self.set_nsdlink_metrics('stop')
# install and return all metrics from the msd (without installing Grafana)
def get_metrics(self):
vnf_metrics_dict = self.set_vnf_metrics('start')
link_metrics_dict = self.set_nsdlink_metrics('start')
# merge the 2 dicts
all_metrics = dict(vnf_metrics_dict, **link_metrics_dict)
return all_metrics
# install and return all metrics from the msd as a list (without installing Grafana)
def get_metrics_list(self):
vnf_metrics_dict = self.set_vnf_metrics('start')
link_metrics_dict = self.set_nsdlink_metrics('start')
# merge the 2 dicts
all_metrics = dict(vnf_metrics_dict, **link_metrics_dict)
flat_metric_list = []
for metric_list in all_metrics.values():
flat_metric_list += metric_list
# return list of class Metric
return flat_metric_list
def start_grafana(self, metrics):
for metric_group in metrics:
title = metric_group
metric_list = metrics[metric_group]
# need list of dicts for Grafana lib
graph_list = [metric.__dict__ for metric in metric_list]
# check metric_type in first metric of the list
if 'count' in metric_list[0].metric_type:
self.grafana.add_panel(metric_list=graph_list, title=title, dashboard_name=self.dashboard,
graph_type='bars')
else:
self.grafana.add_panel(metric_list=graph_list, title=title, dashboard_name=self.dashboard)
def set_vnf_metrics(self, action=None):
all_metrics = {}
for metric_group in self.vnf_metrics:
title = metric_group['description']
metric_list = self.vnfmetric_classifier(metric_group, action)
# group all metrics in dict
all_metrics[title] = metric_list
return all_metrics
# execute the correct function to start/stop the metric_type
def vnfmetric_classifier(self, metric_group, action):
compute_metric_dict = {'start': self.start_compute_metric}
testvnf_metric_dict = {'start': self.start_testvnf_metric}
network_metric_dict = {'start': self.start_network_metric, 'stop': self.stop_network_metric}
metric_type = metric_group['metric_type']
LOG.info('metric_type:{0}'.format(metric_type))
metric_list = []
for vnf_id in metric_group.get('vnf_ids', []):
metric = None
# Monitor metrics exported by Test-VNFs
if metric_type in testvnf_metrics:
function = testvnf_metric_dict.get(action)
if function:
metric = function(metric_group, vnf_id)
# monitor compute stats (exported by cAdvisor in son-emu)
elif metric_type in compute_metrics:
function = compute_metric_dict.get(action)
if function:
metric = function(metric_group, vnf_id)
# monitor network stats (exported by Ryu/cAdvisor in son-emu)
elif metric_type in network_metrics:
function = network_metric_dict.get(action)
if function:
metric = function(metric_group, vnf_id)
else:
logging.info("No query found for metric type: {0}".format(metric_type))
continue
metric_list.append(metric)
return metric_list
def start_testvnf_metric(self, metric_group, vnf_id):
# make default description
desc = vnf_id.get("description")
if not desc:
desc = vnf_id['vnf']
metric_type = metric_group['metric_type']
# set correct Prometheus query
query = test2vnfquery[metric_type].query_template.format(vnf_id['vnf'])
unit = test2vnfquery[metric_type].unit
name = '@'.join([metric_type, vnf_id['vnf']])
metric = Metric(metric_name=name, desc=desc, query=query, metric_type=metric_type, unit=unit)
return metric
def start_compute_metric(self, metric_group, vnf_id):
# make default description
desc = vnf_id.get("description")
if not desc:
desc = vnf_id['vnf']
metric_type = metric_group['metric_type']
# set correct Prometheus query
query = compute2vnfquery[metric_type].query_template.format(vnf_id['vnf'])
unit = compute2vnfquery[metric_type].unit
name = '@'.join([metric_type, vnf_id['vnf']])
metric = Metric(metric_name=name, desc=desc, query=query, metric_type=metric_type, unit=unit)
return metric
# network metrics gathered by the network interface counters
def start_network_metric(self, metric_group, vnf_id):
metric_type = metric_group['metric_type']
metric_type2 = vnf_id['direction'] + "_" + metric_type
vnf_name = parse_vnf_name(vnf_id['vnf'])
vnf_interface = parse_vnf_interface(vnf_id['vnf'])
# metrics of cadvisor are already exported by default
if not '_cadv' in metric_type:
flow_metric = metric2flow_metric[metric_type2]
r = self.vim.monitor_interface(action='start', vnf_name=vnf_name + ':' + vnf_interface, metric=flow_metric)
LOG.info('start metric ret:{0}'.format(r))
query = network2vnfquery[metric_type2].query_template.format(vnf_name, vnf_interface)
# make default description
desc = vnf_id.get("description")
if not desc:
desc = vnf_id['vnf'] + ':' + vnf_id['direction']
unit = network2vnfquery[metric_type2].unit
name = '@'.join([metric_type2, vnf_id['vnf']])
metric = Metric(metric_name=name, desc=desc, query=query, metric_type=metric_type2, unit=unit)
return metric
def stop_network_metric(self, metric_group, vnf_id):
metric_type = metric_group['metric_type']
metric_type2 = vnf_id['direction'] + "_" + metric_type
vnf_name = parse_vnf_name(vnf_id['vnf'])
vnf_interface = parse_vnf_interface(vnf_id['vnf'])
# metrics of cadvisor are already exported by default
if not '_cadv' in metric_type:
flow_metric = metric2flow_metric[metric_type2]
r = self.vim.monitor_interface('stop', vnf_name + ':' + vnf_interface, flow_metric)
LOG.info('stop metric ret:{0}'.format(r))
return
def set_nsdlink_metrics(self, action=None):
all_metrics = {}
for metric_group in self.nsd_links:
title = metric_group['description']
metric_list = self.nsdlink_classifier(metric_group, action)
# group all metrics in dict
all_metrics[title] = metric_list
return all_metrics
# execute the correct function tto start/stop the metric_type
def nsdlink_classifier(self, metric_group, action):
nsdlink_metric_dict = {'start': self.start_nsdlink_metric, 'stop': self.stop_nsdlink_metric}
metric_list = []
metric_type = metric_group['metric_type']
LOG.info('metric_type:{0}'.format(metric_type))
for nsdlink_id in metric_group.get('link_ids', []):
# monitor network stats (exported by Ryu/cAdvisor in son-emu)
if metric_type in nsdlink_metrics:
function = nsdlink_metric_dict.get(action)
if function:
metric = function(metric_group, nsdlink_id)
metric_list.append(metric)
else:
logging.info("No query found for metric type: {0}".format(metric_type))
continue
return metric_list
# install flow_metrics for a specified chain
def start_nsdlink_metric(self, metric_group, nsdlink_id):
# install the link metric
title = metric_group['description']
metric_type = metric_group['metric_type']
metric_type2 = nsdlink_id['direction'] + "_" + metric_type
source = nsdlink_id['source']
destination = nsdlink_id['destination']
direction = nsdlink_id['direction']
if 'rx' in direction:
vnf_name = parse_vnf_name(destination)
vnf_interface = parse_vnf_interface(destination)
elif 'tx' in direction:
vnf_name = parse_vnf_name(source)
vnf_interface = parse_vnf_interface(source)
# make default description
desc = nsdlink_id.get("description")
if not desc:
desc = nsdlink_id['link_id'] + ':' + nsdlink_id['direction']
# if match is empty then it is a total interface counter
if not nsdlink_id.get('match'):
flow_metric = metric2flow_metric[metric_type2]
# metrics of cadvisor al already exported by default
if not '_cadv' in metric_type:
if vnf_interface is None:
vnf_interface = ''
r = self.vim.monitor_interface('start', vnf_name + ':' + vnf_interface, flow_metric)
LOG.info('start link metric ret:{0}'.format(r))
query = network2vnfquery[metric_type2].query_template.format(vnf_name, vnf_interface)
unit = network2vnfquery[metric_type2].unit
name = '{0}@{1}:{2}'.format(metric_type2, vnf_name, vnf_interface)
metric = Metric(metric_name=name, desc=desc, query=query, metric_type=metric_type2, unit=unit)
# if a match is given, install a flow specific counter
else:
flow_metric = metric2flow_metric[metric_type2]
source = nsdlink_id['source']
destination = nsdlink_id['destination']
match = nsdlink_id['match']
# install the flow and export the metric
r = self.vim.flow_total('start', source, destination, flow_metric, self.cookie_counter, match=match,
bidirectional=False, priority=MONITOR_FLOW_PRIORITY)
LOG.info('start link metric ret:{0}'.format(r))
query = metric2flowquery[metric_type2].query_template.format(self.cookie_counter, vnf_name, vnf_interface)
unit = network2vnfquery[metric_type2].unit
name = '{0}@{1}:{2}:{3}'.format(metric_type2, vnf_name, vnf_interface, self.cookie_counter)
metric = Metric(metric_name=name, desc=desc, query=query, metric_type=metric_type2, unit=unit)
self.cookie_counter += 1
return metric
# delete flow_metrics for a specified chain
def stop_nsdlink_metric(self, metric_group, nsdlink_id):
# install the link metrics
title = metric_group['description']
metric_type = metric_group['metric_type']
metric_type2 = nsdlink_id['direction'] + "_" + metric_type
source = nsdlink_id['source']
destination = nsdlink_id['destination']
direction = nsdlink_id['direction']
if 'rx' in direction:
vnf_name = parse_vnf_name(destination)
vnf_interface = parse_vnf_interface(destination)
elif 'tx' in direction:
vnf_name = parse_vnf_name(source)
vnf_interface = parse_vnf_interface(source)
# if match is empty then it is a total interface counter
if not nsdlink_id.get('match'):
flow_metric = metric2flow_metric[metric_type2]
# metrics of cadvisor al already exported by default
if not '_cadv' in metric_type:
if vnf_interface is None:
vnf_interface = ''
r = self.vim.monitor_interface('stop', vnf_name + ':' + vnf_interface, flow_metric)
LOG.info('stop link metric ret:{0}'.format(r))
# if a match is given, uninstall a flow specific counter
else:
flow_metric = metric2flow_metric[metric_type2]
source = nsdlink_id['source']
destination = nsdlink_id['destination']
match = nsdlink_id['match']
# install the flow and export the metric
r = self.vim.flow_total('stop', source, destination, flow_metric, self.cookie_counter, match=match,
bidirectional=False, priority=MONITOR_FLOW_PRIORITY)
LOG.info('stop link metric ret:{0}'.format(r))
self.cookie_counter += 1
class msd():
def __init__(self, msd_path, vim, title=None):
# Parse the msd file
LOG.info('parsing msd: {0}'.format(msd_path))
self.msd_dict = load_yaml(msd_path)
# the VIM class where the monitoring is installed (son-emu manager)
self.vim = vim
# initialize a new Grafana dashboard
self.grafana = Grafana()
# get msd file parameters
if title is None:
title = self.msd_dict.get('dashboard')
self.dashboard = title
self.version = self.msd_dict.get('version')
# get msd VNF metrics to monitor
self.vnf_metrics = self.msd_dict.get('vnf_metrics', [])
# get msd NSD links to monitor
self.nsd_links = self.msd_dict.get('nsd_links', [])
# cookie integer, unique per monitred flow
self.cookie_counter = COOKIE_START
def start(self, title=None, overwrite=True):
if title is None:
title = self.dashboard
# init the dashboard
self.grafana.init_dashboard(title=title, overwrite=overwrite)
metrics = self.get_metrics()
self.start_grafana(metrics)
def stop(self):
# clear the dashboard
self.grafana.del_dashboard(title=self.dashboard)
# remove metrics from the MSD file
self.set_vnf_metrics('stop')
self.set_nsdlink_metrics('stop')
# install and return all metrics from the msd (without installing Grafana)
def get_metrics(self):
vnf_metrics_dict = self.set_vnf_metrics('start')
link_metrics_dict = self.set_nsdlink_metrics('start')
# merge the 2 dicts
all_metrics = dict(vnf_metrics_dict, **link_metrics_dict)
return all_metrics
# install and return all metrics from the msd as a list (without installing Grafana)
def get_metrics_list(self):
vnf_metrics_dict = self.set_vnf_metrics('start')
link_metrics_dict = self.set_nsdlink_metrics('start')
# merge the 2 dicts
all_metrics = dict(vnf_metrics_dict, **link_metrics_dict)
flat_metric_list = []
for metric_list in all_metrics.values():
flat_metric_list += metric_list
# return list of class Metric
return flat_metric_list
def start_grafana(self, metrics):
for metric_group in metrics:
title = metric_group
metric_list = metrics[metric_group]
# need list of dicts for Grafana lib
graph_list = [metric.__dict__ for metric in metric_list]
# check metric_type in first metric of the list
if 'count' in metric_list[0].metric_type:
self.grafana.add_panel(metric_list=graph_list,
title=title,
dashboard_name=self.dashboard,
graph_type='bars')
else:
self.grafana.add_panel(metric_list=graph_list,
title=title,
dashboard_name=self.dashboard)
def set_vnf_metrics(self, action=None):
all_metrics = {}
for metric_group in self.vnf_metrics:
title = metric_group['description']
metric_list = self.vnfmetric_classifier(metric_group, action)
# group all metrics in dict
all_metrics[title] = metric_list
return all_metrics
# execute the correct function to start/stop the metric_type
def vnfmetric_classifier(self, metric_group, action):
compute_metric_dict = {'start': self.start_compute_metric}
testvnf_metric_dict = {'start': self.start_testvnf_metric}
network_metric_dict = {
'start': self.start_network_metric,
'stop': self.stop_network_metric
}
metric_type = metric_group['metric_type']
LOG.info('metric_type:{0}'.format(metric_type))
metric_list = []
for vnf_id in metric_group.get('vnf_ids', []):
metric = None
# Monitor metrics exported by Test-VNFs
if metric_type in testvnf_metrics:
function = testvnf_metric_dict.get(action)
if function:
metric = function(metric_group, vnf_id)
# monitor compute stats (exported by cAdvisor in son-emu)
elif metric_type in compute_metrics:
function = compute_metric_dict.get(action)
if function:
metric = function(metric_group, vnf_id)
# monitor network stats (exported by Ryu/cAdvisor in son-emu)
elif metric_type in network_metrics:
function = network_metric_dict.get(action)
if function:
metric = function(metric_group, vnf_id)
else:
logging.info(
"No query found for metric type: {0}".format(metric_type))
continue
metric_list.append(metric)
return metric_list
def start_testvnf_metric(self, metric_group, vnf_id):
# make default description
desc = vnf_id.get("description")
if not desc:
desc = vnf_id['vnf']
metric_type = metric_group['metric_type']
# set correct Prometheus query
query = test2vnfquery[metric_type].query_template.format(vnf_id['vnf'])
unit = test2vnfquery[metric_type].unit
name = '@'.join([metric_type, vnf_id['vnf']])
metric = Metric(metric_name=name,
desc=desc,
query=query,
metric_type=metric_type,
unit=unit)
return metric
def start_compute_metric(self, metric_group, vnf_id):
# make default description
desc = vnf_id.get("description")
if not desc:
desc = vnf_id['vnf']
metric_type = metric_group['metric_type']
# set correct Prometheus query
query = compute2vnfquery[metric_type].query_template.format(
vnf_id['vnf'])
unit = compute2vnfquery[metric_type].unit
name = '@'.join([metric_type, vnf_id['vnf']])
metric = Metric(metric_name=name,
desc=desc,
query=query,
metric_type=metric_type,
unit=unit)
return metric
# network metrics gathered by the network interface counters
def start_network_metric(self, metric_group, vnf_id):
metric_type = metric_group['metric_type']
metric_type2 = vnf_id['direction'] + "_" + metric_type
vnf_name = parse_vnf_name(vnf_id['vnf'])
vnf_interface = parse_vnf_interface(vnf_id['vnf'])
# metrics of cadvisor are already exported by default
if not '_cadv' in metric_type:
flow_metric = metric2flow_metric[metric_type2]
r = self.vim.monitor_interface(action='start',
vnf_name=vnf_name + ':' +
vnf_interface,
metric=flow_metric)
LOG.info('start metric ret:{0}'.format(r))
query = network2vnfquery[metric_type2].query_template.format(
vnf_name, vnf_interface)
# make default description
desc = vnf_id.get("description")
if not desc:
desc = vnf_id['vnf'] + ':' + vnf_id['direction']
unit = network2vnfquery[metric_type2].unit
name = '@'.join([metric_type2, vnf_id['vnf']])
metric = Metric(metric_name=name,
desc=desc,
query=query,
metric_type=metric_type2,
unit=unit)
return metric
def stop_network_metric(self, metric_group, vnf_id):
metric_type = metric_group['metric_type']
metric_type2 = vnf_id['direction'] + "_" + metric_type
vnf_name = parse_vnf_name(vnf_id['vnf'])
vnf_interface = parse_vnf_interface(vnf_id['vnf'])
# metrics of cadvisor are already exported by default
if not '_cadv' in metric_type:
flow_metric = metric2flow_metric[metric_type2]
r = self.vim.monitor_interface('stop',
vnf_name + ':' + vnf_interface,
flow_metric)
LOG.info('stop metric ret:{0}'.format(r))
return
def set_nsdlink_metrics(self, action=None):
all_metrics = {}
for metric_group in self.nsd_links:
title = metric_group['description']
metric_list = self.nsdlink_classifier(metric_group, action)
# group all metrics in dict
all_metrics[title] = metric_list
return all_metrics
# execute the correct function tto start/stop the metric_type
def nsdlink_classifier(self, metric_group, action):
nsdlink_metric_dict = {
'start': self.start_nsdlink_metric,
'stop': self.stop_nsdlink_metric
}
metric_list = []
metric_type = metric_group['metric_type']
LOG.info('metric_type:{0}'.format(metric_type))
for nsdlink_id in metric_group.get('link_ids', []):
# monitor network stats (exported by Ryu/cAdvisor in son-emu)
if metric_type in nsdlink_metrics:
function = nsdlink_metric_dict.get(action)
if function:
metric = function(metric_group, nsdlink_id)
metric_list.append(metric)
else:
logging.info("No query found for metric type: {0}".format(
metric_type))
continue
return metric_list
# install flow_metrics for a specified chain
def start_nsdlink_metric(self, metric_group, nsdlink_id):
# install the link metric
title = metric_group['description']
metric_type = metric_group['metric_type']
metric_type2 = nsdlink_id['direction'] + "_" + metric_type
source = nsdlink_id['source']
destination = nsdlink_id['destination']
direction = nsdlink_id['direction']
if 'rx' in direction:
vnf_name = parse_vnf_name(destination)
vnf_interface = parse_vnf_interface(destination)
elif 'tx' in direction:
vnf_name = parse_vnf_name(source)
vnf_interface = parse_vnf_interface(source)
# make default description
desc = nsdlink_id.get("description")
if not desc:
desc = nsdlink_id['link_id'] + ':' + nsdlink_id['direction']
# if match is empty then it is a total interface counter
if not nsdlink_id.get('match'):
flow_metric = metric2flow_metric[metric_type2]
# metrics of cadvisor al already exported by default
if not '_cadv' in metric_type:
if vnf_interface is None:
vnf_interface = ''
r = self.vim.monitor_interface('start',
vnf_name + ':' + vnf_interface,
flow_metric)
LOG.info('start link metric ret:{0}'.format(r))
query = network2vnfquery[metric_type2].query_template.format(
vnf_name, vnf_interface)
unit = network2vnfquery[metric_type2].unit
name = '{0}@{1}:{2}'.format(metric_type2, vnf_name, vnf_interface)
metric = Metric(metric_name=name,
desc=desc,
query=query,
metric_type=metric_type2,
unit=unit)
# if a match is given, install a flow specific counter
else:
flow_metric = metric2flow_metric[metric_type2]
source = nsdlink_id['source']
destination = nsdlink_id['destination']
match = nsdlink_id['match']
# install the flow and export the metric
r = self.vim.flow_total('start',
source,
destination,
flow_metric,
self.cookie_counter,
match=match,
bidirectional=False,
priority=MONITOR_FLOW_PRIORITY)
LOG.info('start link metric ret:{0}'.format(r))
query = metric2flowquery[metric_type2].query_template.format(
self.cookie_counter, vnf_name, vnf_interface)
unit = network2vnfquery[metric_type2].unit
name = '{0}@{1}:{2}:{3}'.format(metric_type2, vnf_name,
vnf_interface, self.cookie_counter)
metric = Metric(metric_name=name,
desc=desc,
query=query,
metric_type=metric_type2,
unit=unit)
self.cookie_counter += 1
return metric
# delete flow_metrics for a specified chain
def stop_nsdlink_metric(self, metric_group, nsdlink_id):
# install the link metrics
title = metric_group['description']
metric_type = metric_group['metric_type']
metric_type2 = nsdlink_id['direction'] + "_" + metric_type
source = nsdlink_id['source']
destination = nsdlink_id['destination']
direction = nsdlink_id['direction']
if 'rx' in direction:
vnf_name = parse_vnf_name(destination)
vnf_interface = parse_vnf_interface(destination)
elif 'tx' in direction:
vnf_name = parse_vnf_name(source)
vnf_interface = parse_vnf_interface(source)
# if match is empty then it is a total interface counter
if not nsdlink_id.get('match'):
flow_metric = metric2flow_metric[metric_type2]
# metrics of cadvisor al already exported by default
if not '_cadv' in metric_type:
if vnf_interface is None:
vnf_interface = ''
r = self.vim.monitor_interface('stop',
vnf_name + ':' + vnf_interface,
flow_metric)
LOG.info('stop link metric ret:{0}'.format(r))
# if a match is given, uninstall a flow specific counter
else:
flow_metric = metric2flow_metric[metric_type2]
source = nsdlink_id['source']
destination = nsdlink_id['destination']
match = nsdlink_id['match']
# install the flow and export the metric
r = self.vim.flow_total('stop',
source,
destination,
flow_metric,
self.cookie_counter,
match=match,
bidirectional=False,
priority=MONITOR_FLOW_PRIORITY)
LOG.info('stop link metric ret:{0}'.format(r))
self.cookie_counter += 1
class emu:
def __init__(self, REST_api):
self.url = REST_api
self.tmp_dir = "/tmp/son-monitor"
self.docker_dir = "/tmp/son-monitor/docker"
self.prometheus_dir = "/tmp/son-monitor/prometheus"
self.grafana_dir = "/tmp/son-monitor/grafana"
for dir in [self.docker_dir, self.prometheus_dir, self.grafana_dir]:
if not os.path.exists(dir):
# make local working directory
os.makedirs(dir)
self.docker_based = os.getenv("SON_CLI_IN_DOCKER", False)
self.grafana = None
def init(self, action, **kwargs):
# startup SONATA SDK environment (cAdvisor, Prometheus, PushGateway, son-emu(experimental))
actions = {"start": self.start_containers, "stop": self.stop_containers}
return actions[action](**kwargs)
def nsd(self, action, **kwargs):
# startup SONATA SDK environment (cAdvisor, Prometheus, PushGateway, son-emu(experimental))
actions = {"start": self.start_nsd, "stop": self.stop_nsd}
return actions[action](**kwargs)
def msd(self, action, **kwargs):
# startup SONATA SDK environment (cAdvisor, Prometheus, PushGateway, son-emu(experimental))
actions = {"start": self.start_msd, "stop": self.stop_msd}
return actions[action](**kwargs)
# parse the nsd file and install the grafana metrics
def start_nsd(self, file=None, **kwargs):
self.grafana = Grafana()
self.grafana.init_dashboard()
self.grafana.parse_nsd(file)
return "nsd metrics installed"
def stop_nsd(self, **kwargs):
self.grafana.init_dashboard()
# parse the msd file and export the metrics ffrom son-emu and show in grafana
def start_msd(self, file=None, **kwargs):
# also start son-monitor containers
self.start_containers()
# Parse the msd file
logging.info("parsing msd: {0}".format(file))
msd = load_yaml(file)
# initialize a new Grafana dashboard
self.grafana = Grafana()
dashboard_name = msd["dashboard"]
self.grafana.init_dashboard(title=dashboard_name)
# Install the vnf metrics
self.install_vnf_metrics(msd, dashboard_name)
# install the link metrics
# first make sure everything is stopped
# self.install_nsd_links(msd, 'stop', dashboard_name)
self.install_nsd_links(msd, "start", dashboard_name)
# execute the SAP commands
# first make sure everything is stopped
# self.install_sap_commands(msd, "stop")
self.install_sap_commands(msd, "start")
return "msd metrics installed"
def stop_msd(self, file=None, **kwargs):
logging.info("parsing msd: {0}".format(file))
msd = load_yaml(file)
# clear the dashboard
self.grafana = Grafana()
dashboard_name = msd["dashboard"]
self.grafana.del_dashboard(title=dashboard_name)
# delete all installed flow_metrics
self.install_nsd_links(msd, "stop", dashboard_name)
# kill all the SAP commands
self.install_sap_commands(msd, "stop")
sleep(3)
# also stop son-monitor containers
self.stop_containers()
return "msd metrics deleted"
# start or stop (kill) the sap commands
def install_sap_commands(self, msd, action):
# execute the SAP commands
for sap in msd.get("saps", []):
sap_docker_name = "mn." + sap["sap_name"]
wait = sap.get("wait", False)
for cmd in sap["commands"]:
if sap["method"] == "son-emu-VM-ssh":
if action == "stop":
cmd = "sudo docker exec -it " + sap_docker_name + " pkill -9 -f '" + cmd + "'"
wait = True
else:
cmd = "sudo docker exec -it " + sap_docker_name + " " + cmd
thread = Thread(target=self.ssh_cmd, kwargs=dict(cmd=cmd, username="******", password="******"))
thread.start()
if wait:
thread.join()
# process = self.ssh_cmd(cmd, username='******', password='******', wait=wait)
elif sap["method"] == "son-emu-local":
process = self.docker_exec_cmd(cmd, sap_docker_name)
# Install the vnf metrics (cpu, mem, interface packet rate)
def install_vnf_metrics(self, msd, dashboard_name):
vnf_metrics = msd["vnf_metrics"]
for metric_group in vnf_metrics:
graph_list = []
title = metric_group["desc"]
metric_type = metric_group["type"]
logging.info("metric_type:{0}".format(metric_type))
if metric_type in ["jitter", "packet_loss"]:
query = profile2vnfquery[metric_type]
graph_dict = dict(desc=title, metric=query)
graph_list.append(graph_dict)
elif len(metric_group.get("vnf_ids", [])) == 0:
# no vnfs need to be monitored
continue
for vnf_id in metric_group.get("vnf_ids", []):
graph_dict = {}
if metric_type in ["packet_rate", "byte_rate"]:
metric_type2 = vnf_id["direction"] + "_" + metric_type
vnf_name = parse_vnf_name(vnf_id["vnf"])
vnf_interface = parse_vnf_interface(vnf_id["vnf"])
flow_metric = metric2flow_metric[metric_type2]
self.interface("start", vnf_name + ":" + vnf_interface, flow_metric)
query = metric2vnfquery[metric_type2].format(vnf_name, vnf_interface)
desc = vnf_id["vnf"] + ":" + vnf_id["direction"]
graph_dict = dict(desc=desc, metric=query)
elif metric_type in ["cpu", "mem"]:
query = metric2vnfquery[metric_type].format(vnf_id)
graph_dict = dict(desc=vnf_id, metric=query)
else:
logging.info("No query found for metric type: {0}".format(metric_type))
continue
graph_list.append(graph_dict)
self.grafana.add_panel(metric_list=graph_list, title=title, dashboard_name=dashboard_name)
# install or delete all installed flow_metrics
def install_nsd_links(self, msd, action, dashboard_name):
# install the link metrics
cookie = COOKIE_START
for nsd_link in msd["nsd_links"]:
graph_list = []
if nsd_link["metrics"] is None:
# no vnfs need to be monitored
break
title = nsd_link["desc"]
metric_type = nsd_link["metric_type"]
source = nsd_link["source"]
destination = nsd_link["destination"]
if "rx" in metric_type:
vnf_name = parse_vnf_name(destination)
vnf_interface = parse_vnf_interface(destination)
elif "tx" in metric_type:
vnf_name = parse_vnf_name(source)
vnf_interface = parse_vnf_interface(source)
for metric in nsd_link["metrics"]:
graph_dict = {}
# an interface metric exported from cAdvisor
if metric["type"] == "total":
if action == "stop":
continue
query = metric2total_query[metric_type].format(vnf_name, vnf_interface)
graph_dict = dict(desc=metric["desc"], metric=query)
# an interface metric as an interface packet counter from the son-emu network switch
elif metric["type"] == "flow_total":
flow_metric = metric2flow_metric[metric_type]
self.interface(action, vnf_name + ":" + vnf_interface, flow_metric)
if action == "stop":
continue
query = metric2totalflowquery[metric_type].format(vnf_name, vnf_interface)
graph_dict = dict(desc=metric["desc"], metric=query)
# a metric as a custom flow counter from the son-emu network switch
elif metric["type"] == "flow":
flow_metric = metric2flow_metric[metric_type]
source = nsd_link["source"]
destination = nsd_link["destination"]
match = metric["match"]
# install the flow and export the metric
if action == "stop":
self.flow_total(action, source, destination, flow_metric, cookie)
cookie += 1
continue
else:
self.flow_total(
action,
source,
destination,
flow_metric,
cookie,
match=match,
bidirectional=False,
priority=100,
)
query = metric2flowquery[metric_type].format(cookie, vnf_name, vnf_interface)
graph_dict = dict(desc=metric["desc"], metric=query)
cookie += 1
if action == "start":
graph_list.append(graph_dict)
if action == "start":
self.grafana.add_panel(
metric_list=graph_list, title=title, dashboard_name=dashboard_name, graph_type="bars"
)
# start the sdk monitoring framework (cAdvisor, Prometheus, Pushgateway, ...)
def start_containers(self, **kwargs):
# docker-compose up -d
cmd = ["docker-compose", "-p sonmonitor", "up", "-d"]
if self.docker_based:
# we are running son-cli in a docker container
logging.info("son-cli is running inside a docker container")
src_path = os.path.join("docker", "docker-compose-docker.yml")
else:
# we are running son-cli locally
src_path = os.path.join("docker", "docker-compose-local.yml")
srcfile = pkg_resources.resource_filename(__name__, src_path)
# copy the docker compose file to a working directory
copy(srcfile, os.path.join(self.docker_dir, "docker-compose.yml"))
# copy the prometheus config file for use in the prometheus docker container
src_path = os.path.join("prometheus", "prometheus_sdk.yml")
srcfile = pkg_resources.resource_filename(__name__, src_path)
copy(srcfile, self.prometheus_dir)
# copy grafana directory
src_path = os.path.join("grafana", "grafana.db")
srcfile = pkg_resources.resource_filename(__name__, src_path)
copy(srcfile, self.grafana_dir)
logging.info("Start son-monitor containers: {0}".format(self.docker_dir))
process = Popen(cmd, cwd=self.docker_dir)
process.wait()
# Wait a while for containers to be completely started
sleep(2)
return "son-monitor started"
# start the sdk monitoring framework
def stop_containers(self, **kwargs):
"""
# hard stopping of containers
cmd = [
'docker',
'rm',
'-f',
'grafana',
'prometheus'
]
logging.info('stop and remove son-monitor containers')
process = Popen(cmd, cwd=self.docker_dir)
process.wait()
"""
# docker-compose down, remove volumes
cmd = ["docker-compose", "-p sonmonitor", "down", "-v"]
logging.info("stop and remove son-monitor containers")
process = Popen(cmd, cwd=self.docker_dir)
process.wait()
# try to remove tmp directory
try:
if os.path.exists(self.tmp_dir):
rmtree(self.tmp_dir)
except:
logging.info("cannot remove {0} (this is normal if mounted as a volume)".format(self.tmp_dir))
return "son-monitor stopped"
def ssh_cmd(self, cmd, host="localhost", port=22, username="******", password="******"):
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
# ssh.connect(mgmt_ip, username='******', password='******')
ssh.connect(host, port=port, username=username, password=password)
logging.info("executing command: {0}".format(cmd))
stdin, stdout, stderr = ssh.exec_command(cmd, get_pty=True)
# Wait for the command to terminate
timer = 0
while (not stdout.channel.exit_status_ready()) and timer < 3:
# Only print data if there is data to read in the channel
if stdout.channel.recv_ready():
rl, wl, xl = select.select([stdout.channel], [], [], 0.0)
if len(rl) > 0:
# Print data from stdout
logging.info(stdout.channel.recv(1024))
timer = 0
else:
timer += 1
sleep(1)
ssh.close()
def docker_exec_cmd(self, cmd, docker_name):
cmd_list = shlex.split(cmd)
cmd = ["docker", "exec", "-it", docker_name]
cmd = cmd + cmd_list
logging.info("executing command: {0}".format(cmd))
process = Popen(cmd)
# process.wait()
return process
def interface(self, action, vnf_name, metric, **kwargs):
# check required arguments
actions = {"start": put, "stop": delete}
if not valid_arguments(action, vnf_name, metric):
return "Function arguments not valid"
if actions.get(action) is None:
return "Action argument not valid"
vnf_name2 = parse_vnf_name(vnf_name)
vnf_interface = parse_vnf_interface(vnf_name)
url = construct_url(self.url, "restapi/monitor", vnf_name2, vnf_interface, metric)
response = actions[action](url)
return response.json()
def flow_mon(self, action, vnf_name, metric, cookie, **kwargs):
# check required arguments
actions = {"start": put, "stop": delete}
if not valid_arguments(action, vnf_name, metric, cookie):
return "Function arguments not valid"
if actions.get(action) is None:
return "Action argument not valid"
vnf_name2 = parse_vnf_name(vnf_name)
vnf_interface = parse_vnf_interface(vnf_name)
url = construct_url(self.url, "restapi/flowmon", vnf_name2, vnf_interface, metric, cookie)
response = actions[action](url)
return response.json()
def flow_entry(self, action, source, destination, **args):
# check required arguments
actions = {"start": put, "stop": delete}
if not valid_arguments(source, destination):
return "arguments not valid"
if actions.get(action) is None:
return "Action argument not valid"
vnf_src_name = parse_vnf_name(source)
vnf_dst_name = parse_vnf_name(destination)
params = create_dict(
vnf_src_interface=parse_vnf_interface(source),
vnf_dst_interface=parse_vnf_interface(destination),
weight=args.get("weight"),
match=args.get("match"),
bidirectional=args.get("bidirectional"),
priority=args.get("priority"),
cookie=args.get("cookie"),
)
response = actions[action](
"{0}/restapi/network/{1}/{2}".format(self.url, vnf_src_name, vnf_dst_name), json=params
)
return response.json()
def flow_total(self, action, source, destination, metric, cookie, **kwargs):
# check required arguments
actions = {"start": put, "stop": delete}
if not valid_arguments(source, destination, cookie):
return "arguments not valid"
if actions.get(action) is None:
return "Action argument not valid"
vnf_src_name = parse_vnf_name(source)
vnf_dst_name = parse_vnf_name(destination)
params = create_dict(
vnf_src_interface=parse_vnf_interface(source),
vnf_dst_interface=parse_vnf_interface(destination),
weight=kwargs.get("weight"),
match=kwargs.get("match"),
bidirectional=kwargs.get("bidirectional"),
priority=kwargs.get("priority"),
cookie=cookie,
)
# first add this specific flow to the emulator network
ret1 = self.flow_entry(action, source, destination, **params)
# then export its metrics (from the src and dst vnf_interface)
if kwargs.get("bidirectional") == True:
ret3 = self.flow_mon(action, destination, metric, cookie)
ret2 = self.flow_mon(action, source, metric, cookie)
elif "rx" in metric:
ret3 = self.flow_mon(action, destination, metric, cookie)
ret2 = ""
elif "tx" in metric:
ret2 = self.flow_mon(action, source, metric, cookie)
ret3 = ""
return_value = "flow-entry:\n{0} \nflow-mon src:\n{1} \nflow-mon dst:\n{2}".format(ret1, ret2, ret3)
return return_value
def query(self, vnf_name, query, datacenter=None, **kwargs):
vnf_name2 = parse_vnf_name(vnf_name)
vnf_interface = parse_vnf_interface(vnf_name)
if datacenter is None:
datacenter = self._find_dc(vnf_name2)
dc_label = datacenter
query = query
vnf_status = get("{0}/restapi/compute/{1}/{2}".format(self.url, dc_label, vnf_name2)).json()
uuid = vnf_status["id"]
query = query.replace("<uuid>", uuid)
r = query_Prometheus(query)
return r
def profile(self, args):
return "not yet fully implemented"
nw_list = list()
if args.get("network") is not None:
nw_list = parse_network(args.get("network"))
params = create_dict(
network=nw_list,
command=args.get("docker_command"),
image=args.get("image"),
input=args.get("input"),
output=args.get("output"),
)
profiler_emu = profiler.Emu_Profiler(self.url)
# deploy the test service chain
vnf_name = parse_vnf_name(args.get("vnf_name"))
dc_label = args.get("datacenter")
profiler_emu.deploy_chain(dc_label, vnf_name, params)
# generate output table
for output in profiler_emu.generate():
print(output + "\n")
def _find_dc(self, vnf_name):
datacenter = None
vnf_list = get("{0}/restapi/compute".format(self.url)).json()
for vnf in vnf_list:
if vnf[0] == vnf_name:
datacenter = vnf[1]["datacenter"]
return datacenter
# find the public ip address where we can log into the node
def _find_public_ip(self, vnf_name):
dc_label = self._find_dc(vnf_name)
vnf_status = get("{0}/restapi/compute/{1}/{2}".format(self.url, dc_label, vnf_name)).json()
return vnf_status["docker_network"]
def start_nsd(self, file=None, **kwargs):
self.grafana = Grafana()
self.grafana.init_dashboard()
self.grafana.parse_nsd(file)
return "nsd metrics installed"
