cloud-foundation-fabric/blueprints/cloud-operations/network-dashboard/cloud-function/metrics/routes.py

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#
# Copyright 2022 Google LLC
#
# 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.
#
import time
from collections import defaultdict
from . import metrics, networks, limits, peerings, routers
def get_routes_for_router(config, project_id, router_region, router_name):
'''
Returns the same of dynamic routes learned by a specific Cloud Router instance
Parameters:
config (dict): The dict containing config like clients and limits
project_id (string): Project ID for the project containing the Cloud Router.
router_region (string): GCP region for the Cloud Router.
router_name (string): Cloud Router name.
Returns:
sum_routes (int): Number of dynamic routes learned by the Cloud Router.
'''
request = config["clients"]["discovery_client"].routers().getRouterStatus(
project=project_id, region=router_region, router=router_name)
response = request.execute()
sum_routes = 0
if 'result' in response:
if 'bgpPeerStatus' in response['result']:
for peer in response['result']['bgpPeerStatus']:
sum_routes += peer['numLearnedRoutes']
return sum_routes
def get_routes_for_network(config, network_link, project_id, routers_dict):
'''
Returns a the number of dynamic routes for a given network
Parameters:
config (dict): The dict containing config like clients and limits
network_link (string): Network self link.
project_id (string): Project ID containing the network.
routers_dict (dictionary of string: list of string): Dictionary with key as network link and value as list of router links.
Returns:
sum_routes (int): Number of routes in that network.
'''
sum_routes = 0
if network_link in routers_dict:
for router_link in routers_dict[network_link]:
# Router link is using the following format:
# 'https://www.googleapis.com/compute/v1/projects/PROJECT_ID/regions/REGION/routers/ROUTER_NAME'
start = router_link.find("/regions/") + len("/regions/")
end = router_link.find("/routers/")
router_region = router_link[start:end]
router_name = router_link.split('/routers/')[1]
routes = get_routes_for_router(config, project_id, router_region,
router_name)
sum_routes += routes
return sum_routes
def get_dynamic_routes(config, metrics_dict, limits_dict):
'''
Writes all dynamic routes per VPC to custom metrics.
Parameters:
config (dict): The dict containing config like clients and limits
metrics_dict (dictionary of dictionary of string: string): metrics names and descriptions.
limits_dict (dictionary of string: int): key is network link (or 'default_value') and value is the limit for that network
Returns:
dynamic_routes_dict (dictionary of string: int): key is network link and value is the number of dynamic routes for that network
'''
routers_dict = routers.get_routers(config)
dynamic_routes_dict = defaultdict(int)
timestamp = time.time()
for project in config["monitored_projects"]:
network_dict = networks.get_networks(config, project)
for net in network_dict:
sum_routes = get_routes_for_network(config, net['self_link'], project,
routers_dict)
dynamic_routes_dict[net['self_link']] = sum_routes
if net['self_link'] in limits_dict:
limit = limits_dict[net['self_link']]
else:
if 'default_value' in limits_dict:
limit = limits_dict['default_value']
else:
print("Error: couldn't find limit for dynamic routes.")
break
utilization = sum_routes / limit
metric_labels = {'project': project, 'network_name': net['network_name']}
metrics.append_data_to_series_buffer(
config, metrics_dict["metrics_per_network"]
["dynamic_routes_per_network"]["usage"]["name"], sum_routes,
metric_labels, timestamp=timestamp)
metrics.append_data_to_series_buffer(
config, metrics_dict["metrics_per_network"]
["dynamic_routes_per_network"]["limit"]["name"], limit, metric_labels,
timestamp=timestamp)
metrics.append_data_to_series_buffer(
config, metrics_dict["metrics_per_network"]
["dynamic_routes_per_network"]["utilization"]["name"], utilization,
metric_labels, timestamp=timestamp)
print("Buffered metrics for dynamic routes for VPCs in project", project)
return dynamic_routes_dict
def get_dynamic_routes_ppg(config, metric_dict, usage_dict, limit_dict):
'''
This function gets the usage, limit and utilization for the dynamic routes per VPC peering group.
Parameters:
config (dict): The dict containing config like clients and limits
metric_dict (dictionary of string: string): Dictionary with the metric names and description, that will be used to populate the metrics
usage_dict (dictionnary of string:int): Dictionary with the network link as key and the number of resources as value
limit_dict (dictionary of string:int): Dictionary with the network link as key and the limit as value
Returns:
None
'''
for project in config["monitored_projects"]:
network_dict_list = peerings.gather_peering_data(config, project)
for network_dict in network_dict_list:
network_link = f"https://www.googleapis.com/compute/v1/projects/{project}/global/networks/{network_dict['network_name']}"
limit = limits.get_ppg(network_link, limit_dict)
usage = 0
if network_link in usage_dict:
usage = usage_dict[network_link]
# Here we add usage and limit to the network dictionary
network_dict["usage"] = usage
network_dict["limit"] = limit
# For every peered network, get usage and limits
for peered_network_dict in network_dict['peerings']:
peered_network_link = f"https://www.googleapis.com/compute/v1/projects/{peered_network_dict['project_id']}/global/networks/{peered_network_dict['network_name']}"
peered_usage = 0
if peered_network_link in usage_dict:
peered_usage = usage_dict[peered_network_link]
peered_limit = limits.get_ppg(peered_network_link, limit_dict)
# Here we add usage and limit to the peered network dictionary
peered_network_dict["usage"] = peered_usage
peered_network_dict["limit"] = peered_limit
limits.count_effective_limit(config, project, network_dict,
metric_dict["usage"]["name"],
metric_dict["limit"]["name"],
metric_dict["utilization"]["name"],
limit_dict)
print(
f"Wrote {metric_dict['usage']['name']} for peering group {network_dict['network_name']} in {project}"
)