2022-04-28 02:48:48 -07:00
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# Copyright 2022 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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2022-10-10 06:53:14 -07:00
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import time
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2022-04-28 02:48:48 -07:00
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from collections import defaultdict
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from . import metrics, networks, limits, peerings, routers
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def get_routes_for_router(config, project_id, router_region, router_name):
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'''
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Returns the same of dynamic routes learned by a specific Cloud Router instance
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Parameters:
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config (dict): The dict containing config like clients and limits
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project_id (string): Project ID for the project containing the Cloud Router.
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router_region (string): GCP region for the Cloud Router.
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router_name (string): Cloud Router name.
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Returns:
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sum_routes (int): Number of dynamic routes learned by the Cloud Router.
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'''
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request = config["clients"]["discovery_client"].routers().getRouterStatus(
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project=project_id, region=router_region, router=router_name)
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response = request.execute()
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sum_routes = 0
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if 'result' in response:
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if 'bgpPeerStatus' in response['result']:
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for peer in response['result']['bgpPeerStatus']:
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sum_routes += peer['numLearnedRoutes']
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return sum_routes
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def get_routes_for_network(config, network_link, project_id, routers_dict):
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'''
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Returns a the number of dynamic routes for a given network
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Parameters:
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config (dict): The dict containing config like clients and limits
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network_link (string): Network self link.
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project_id (string): Project ID containing the network.
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routers_dict (dictionary of string: list of string): Dictionary with key as network link and value as list of router links.
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Returns:
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sum_routes (int): Number of routes in that network.
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'''
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sum_routes = 0
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if network_link in routers_dict:
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for router_link in routers_dict[network_link]:
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# Router link is using the following format:
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# 'https://www.googleapis.com/compute/v1/projects/PROJECT_ID/regions/REGION/routers/ROUTER_NAME'
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start = router_link.find("/regions/") + len("/regions/")
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end = router_link.find("/routers/")
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router_region = router_link[start:end]
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router_name = router_link.split('/routers/')[1]
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routes = get_routes_for_router(config, project_id, router_region,
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router_name)
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sum_routes += routes
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return sum_routes
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def get_dynamic_routes(config, metrics_dict, limits_dict):
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'''
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Writes all dynamic routes per VPC to custom metrics.
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Parameters:
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config (dict): The dict containing config like clients and limits
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metrics_dict (dictionary of dictionary of string: string): metrics names and descriptions.
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limits_dict (dictionary of string: int): key is network link (or 'default_value') and value is the limit for that network
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Returns:
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dynamic_routes_dict (dictionary of string: int): key is network link and value is the number of dynamic routes for that network
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'''
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routers_dict = routers.get_routers(config)
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dynamic_routes_dict = defaultdict(int)
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2022-10-10 06:53:14 -07:00
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timestamp = time.time()
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for project in config["monitored_projects"]:
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network_dict = networks.get_networks(config, project)
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2022-04-28 02:48:48 -07:00
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2022-10-10 06:53:14 -07:00
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for net in network_dict:
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sum_routes = get_routes_for_network(config, net['self_link'], project,
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routers_dict)
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dynamic_routes_dict[net['self_link']] = sum_routes
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2022-04-28 02:48:48 -07:00
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2022-10-10 06:53:14 -07:00
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if net['self_link'] in limits_dict:
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limit = limits_dict[net['self_link']]
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2022-04-28 02:48:48 -07:00
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else:
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if 'default_value' in limits_dict:
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limit = limits_dict['default_value']
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else:
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print("Error: couldn't find limit for dynamic routes.")
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break
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utilization = sum_routes / limit
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2022-10-10 06:53:14 -07:00
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metric_labels = {'project': project, 'network_name': net['network_name']}
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metrics.append_data_to_series_buffer(
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config, metrics_dict["metrics_per_network"]
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["dynamic_routes_per_network"]["usage"]["name"], sum_routes,
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metric_labels, timestamp=timestamp)
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metrics.append_data_to_series_buffer(
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config, metrics_dict["metrics_per_network"]
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["dynamic_routes_per_network"]["limit"]["name"], limit, metric_labels,
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timestamp=timestamp)
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metrics.append_data_to_series_buffer(
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config, metrics_dict["metrics_per_network"]
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["dynamic_routes_per_network"]["utilization"]["name"], utilization,
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metric_labels, timestamp=timestamp)
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print("Buffered metrics for dynamic routes for VPCs in project", project)
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2022-04-28 02:48:48 -07:00
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return dynamic_routes_dict
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def get_dynamic_routes_ppg(config, metric_dict, usage_dict, limit_dict):
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'''
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This function gets the usage, limit and utilization for the dynamic routes per VPC peering group.
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Parameters:
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config (dict): The dict containing config like clients and limits
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metric_dict (dictionary of string: string): Dictionary with the metric names and description, that will be used to populate the metrics
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usage_dict (dictionnary of string:int): Dictionary with the network link as key and the number of resources as value
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limit_dict (dictionary of string:int): Dictionary with the network link as key and the limit as value
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Returns:
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None
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'''
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for project in config["monitored_projects"]:
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network_dict_list = peerings.gather_peering_data(config, project)
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for network_dict in network_dict_list:
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network_link = f"https://www.googleapis.com/compute/v1/projects/{project}/global/networks/{network_dict['network_name']}"
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limit = limits.get_ppg(network_link, limit_dict)
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usage = 0
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if network_link in usage_dict:
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usage = usage_dict[network_link]
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# Here we add usage and limit to the network dictionary
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network_dict["usage"] = usage
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network_dict["limit"] = limit
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# For every peered network, get usage and limits
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for peered_network_dict in network_dict['peerings']:
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peered_network_link = f"https://www.googleapis.com/compute/v1/projects/{peered_network_dict['project_id']}/global/networks/{peered_network_dict['network_name']}"
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peered_usage = 0
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if peered_network_link in usage_dict:
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peered_usage = usage_dict[peered_network_link]
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peered_limit = limits.get_ppg(peered_network_link, limit_dict)
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# Here we add usage and limit to the peered network dictionary
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peered_network_dict["usage"] = peered_usage
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peered_network_dict["limit"] = peered_limit
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limits.count_effective_limit(config, project, network_dict,
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metric_dict["usage"]["name"],
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metric_dict["limit"]["name"],
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metric_dict["utilization"]["name"],
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limit_dict)
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print(
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f"Wrote {metric_dict['usage']['name']} for peering group {network_dict['network_name']} in {project}"
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)
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