61 lines
2.1 KiB
Python
61 lines
2.1 KiB
Python
from fastapi import APIRouter
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from kubernetes import client, config
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import math
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router = APIRouter()
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def fetch_k8s_data_with_usage():
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config.load_incluster_config()
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v1 = client.CoreV1Api()
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metrics_client = client.CustomObjectsApi()
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# Fetch nodes and namespaces
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nodes = [{
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"node_name": node.metadata.name,
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"cpu": node.status.capacity.get("cpu"),
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"memory": node.status.capacity.get("memory"),
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"pods_allocatable": node.status.allocatable.get("pods"),
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} for node in v1.list_node().items]
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namespaces = [ns.metadata.name for ns in v1.list_namespace().items]
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# Fetch pod metrics and calculate namespace resource usage
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namespace_usage = {}
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pod_metrics = metrics_client.list_namespaced_custom_object(
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group="metrics.k8s.io", version="v1beta1", namespace="", plural="pods"
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)
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for pod in pod_metrics["items"]:
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pod_namespace = pod["metadata"]["namespace"]
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if pod_namespace not in namespace_usage:
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namespace_usage[pod_namespace] = {"cpu": 0, "memory": 0}
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for container in pod["containers"]:
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cpu_usage = container["usage"]["cpu"]
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memory_usage = container["usage"]["memory"]
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# Convert CPU to millicores and memory to MiB
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namespace_usage[pod_namespace]["cpu"] += convert_cpu_to_millicores(cpu_usage)
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namespace_usage[pod_namespace]["memory"] += convert_memory_to_mib(memory_usage)
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return {"nodes": nodes, "namespaces": namespaces, "namespace_usage": namespace_usage}
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def convert_cpu_to_millicores(cpu):
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if "n" in cpu:
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return int(cpu.replace("n", "")) / 1e6
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elif "m" in cpu:
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return int(cpu.replace("m", ""))
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return int(cpu) * 1000
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def convert_memory_to_mib(memory):
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if "Ki" in memory:
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return int(memory.replace("Ki", "")) / 1024
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elif "Mi" in memory:
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return int(memory.replace("Mi", ""))
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elif "Gi" in memory:
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return int(memory.replace("Gi", "")) * 1024
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return int(memory)
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@router.get("/k8s/data")
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def get_k8s_data():
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return fetch_k8s_data_with_usage()
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