mirror of
https://ak-git.vectorsigma.ru/terghalin/metalcheck.git
synced 2026-03-26 18:56:25 +09:00
186 lines
6.2 KiB
Python
186 lines
6.2 KiB
Python
from rich.console import Console
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from rich.table import Table
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from rich.progress import Progress
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from database import fetch_all
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from kubernetes import client, config
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import requests
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# Define constants
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THINK_K8S_URL = "http://localhost:8000/think/k8s"
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console = Console()
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# Helper functions for conversions
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def convert_cpu_to_cores(cpu):
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if "n" in cpu:
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return round(int(cpu.replace("n", "")) / 1e9, 4)
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elif "u" in cpu:
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return round(int(cpu.replace("u", "")) / 1e6, 4)
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elif "m" in cpu:
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return round(int(cpu.replace("m", "")) / 1000, 4)
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return float(cpu)
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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 float(memory)
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def convert_memory_to_gb(memory):
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if "Ki" in memory:
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return int(memory.replace("Ki", "")) / (1024 ** 2)
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elif "Mi" in memory:
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return int(memory.replace("Mi", "")) / 1024
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elif "Gi" in memory:
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return int(memory.replace("Gi", ""))
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return float(memory)
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# Display tables
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def display_metal_nodes():
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table = Table(title="🖥️ Metal Nodes", style="bold green")
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table.add_column("ID", justify="right", style="cyan")
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table.add_column("Name", style="magenta")
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table.add_column("Location", style="white")
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table.add_column("Vendor", style="green")
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table.add_column("CPU", justify="right", style="yellow")
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table.add_column("Memory (GB)", justify="right", style="cyan")
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table.add_column("Storage", style="magenta")
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nodes = fetch_all("metal_nodes")
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for node in nodes:
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table.add_row(
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f"{node[0]}",
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node[1],
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node[2],
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node[3],
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f"{node[4]}",
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node[5],
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node[6]
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)
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console.print(table)
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def display_virtual_machines():
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table = Table(title="💻 Virtual Machines", style="bold blue")
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table.add_column("ID", justify="right", style="cyan")
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table.add_column("Name", style="magenta")
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table.add_column("Location", style="white")
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table.add_column("CPU", justify="right", style="yellow")
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table.add_column("Memory (GB)", justify="right", style="cyan")
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table.add_column("Storage", style="magenta")
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table.add_column("Type", style="green")
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vms = fetch_all("virtual_machines")
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for vm in vms:
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table.add_row(
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f"{vm[0]}",
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vm[1],
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vm[2],
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f"{vm[3]}",
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vm[4],
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vm[5],
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vm[6]
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)
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console.print(table)
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def display_kubernetes_nodes():
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config.load_incluster_config()
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v1 = client.CoreV1Api()
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table = Table(title="📦 Kubernetes Nodes", style="bold yellow")
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table.add_column("Node Name", style="white")
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table.add_column("CPU", justify="right", style="yellow")
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table.add_column("Memory (MiB)", justify="right", style="cyan")
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table.add_column("Storage (GB)", justify="right", style="green")
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table.add_column("Instance Type", style="blue")
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table.add_column("Pods Allocatable", justify="right", style="magenta")
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nodes = v1.list_node()
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for node in nodes.items:
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ephemeral_storage = node.status.capacity.get("ephemeral-storage", "0")
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instance_type = node.metadata.labels.get("beta.kubernetes.io/instance-type", "N/A")
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table.add_row(
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node.metadata.name,
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node.status.capacity.get("cpu"),
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f"{round(convert_memory_to_mib(node.status.capacity.get('memory')), 2)}",
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f"{round(convert_memory_to_gb(ephemeral_storage), 2)}",
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instance_type,
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node.status.allocatable.get("pods")
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)
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console.print(table)
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def display_namespace_usage():
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config.load_incluster_config()
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metrics_client = client.CustomObjectsApi()
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table = Table(title="📊 Namespace Resource Usage", style="bold magenta")
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table.add_column("Namespace", style="white")
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table.add_column("CPU (Cores)", justify="right", style="yellow")
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table.add_column("Memory (MiB)", justify="right", style="cyan")
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namespace_usage = {}
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pod_metrics = metrics_client.list_cluster_custom_object(
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group="metrics.k8s.io", version="v1beta1", plural="pods"
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)
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for pod in pod_metrics["items"]:
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namespace = pod["metadata"]["namespace"]
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if namespace not in namespace_usage:
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namespace_usage[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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namespace_usage[namespace]["cpu"] += convert_cpu_to_cores(cpu_usage)
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namespace_usage[namespace]["memory"] += convert_memory_to_mib(memory_usage)
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for namespace, usage in namespace_usage.items():
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table.add_row(
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namespace,
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f"{round(usage['cpu'], 4)}",
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f"{round(usage['memory'], 2)}"
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)
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console.print(table)
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# Fetch and display AI summary
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def fetch_ai_summary():
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with Progress() as progress:
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task = progress.add_task("[cyan]Thinking about Kubernetes...", total=100)
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try:
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for _ in range(10): # Simulate progress
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progress.update(task, advance=10)
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import time; time.sleep(0.1)
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response = requests.get(THINK_K8S_URL)
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progress.update(task, completed=100)
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if response.status_code == 200:
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data = response.json()
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return data.get("summary", "No summary provided.")
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else:
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return f"Failed to fetch summary: {response.status_code} {response.text}"
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except requests.RequestException as e:
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return f"An error occurred while fetching the summary: {str(e)}"
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def display_ai_summary():
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summary = fetch_ai_summary()
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console.print("\n[bold magenta]AI Summary of Kubernetes Cluster:[/bold magenta]")
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console.print(f"[green]{summary}[/green]\n")
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if __name__ == "__main__":
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console.print("✨ [bold green]Welcome to the Metal Check Dashboard![/bold green] ✨\n")
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display_metal_nodes()
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display_virtual_machines()
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display_kubernetes_nodes()
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display_namespace_usage()
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display_ai_summary()
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