104 lines
3.9 KiB
Python
104 lines
3.9 KiB
Python
#
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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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import time
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from code import interact
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from collections import defaultdict
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from . import metrics, networks, limits
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def get_gce_instance_dict(config: dict):
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'''
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Calls the Asset Inventory API to get all GCE instances under the GCP organization.
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Parameters:
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config (dict): The dict containing config like clients and limits
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Returns:
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gce_instance_dict (dictionary of string: int): Keys are the network links and values are the number of GCE Instances per network.
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'''
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gce_instance_dict = defaultdict(int)
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response = config["clients"]["asset_client"].search_all_resources(
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request={
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"scope": f"organizations/{config['organization']}",
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"asset_types": ["compute.googleapis.com/Instance"],
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"page_size": config["page_size"],
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})
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for resource in response:
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for field_name, field_value in resource.additional_attributes.items():
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if field_name == "networkInterfaceNetworks":
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for network in field_value:
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if network in gce_instance_dict:
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gce_instance_dict[network] += 1
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else:
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gce_instance_dict[network] = 1
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return gce_instance_dict
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def get_gce_instances_data(config, metrics_dict, gce_instance_dict, limit_dict):
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'''
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Gets the data for GCE instances per VPC Network and writes it to the metric defined in instance_metric.
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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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gce_instance_dict (dictionary of string: int): Keys are the network links and values are the number of GCE Instances per network.
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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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gce_instance_dict
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'''
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timestamp = time.time()
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for project_id in config["monitored_projects"]:
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network_dict = networks.get_networks(config, project_id)
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current_quota_limit = limits.get_quota_current_limit(
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config, f"projects/{project_id}",
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config["limit_names"]["GCE_INSTANCES"])
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if current_quota_limit is None:
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print(
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f"Could not determine number of instances for projects/{project_id} due to missing quotas"
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)
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current_quota_limit_view = metrics.customize_quota_view(current_quota_limit)
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for net in network_dict:
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limits.set_limits(net, current_quota_limit_view, limit_dict)
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usage = 0
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if net['self_link'] in gce_instance_dict:
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usage = gce_instance_dict[net['self_link']]
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metric_labels = {
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'project': project_id,
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'network_name': net['network_name']
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}
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metrics.append_data_to_series_buffer(
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config, metrics_dict["metrics_per_network"]["instance_per_network"]
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["usage"]["name"], usage, metric_labels, timestamp=timestamp)
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metrics.append_data_to_series_buffer(
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config, metrics_dict["metrics_per_network"]["instance_per_network"]
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["limit"]["name"], net['limit'], metric_labels, timestamp=timestamp)
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metrics.append_data_to_series_buffer(
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config, metrics_dict["metrics_per_network"]["instance_per_network"]
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["utilization"]["name"], usage / net['limit'], metric_labels,
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timestamp=timestamp)
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print(f"Buffered number of instances to metric for projects/{project_id}")
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