"use client"
import { useState, useEffect } from "react"
import { Card, CardContent, CardHeader, CardTitle } from "./ui/card"
import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "./ui/select"
import { AreaChart, Area, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer, Legend } from "recharts"
import { Loader2, TrendingUp, MemoryStick } from "lucide-react"
import { useIsMobile } from "../hooks/use-mobile"
const TIMEFRAME_OPTIONS = [
{ value: "hour", label: "1 Hour" },
{ value: "day", label: "24 Hours" },
{ value: "week", label: "7 Days" },
{ value: "month", label: "30 Days" },
]
interface NodeMetricsData {
time: string
timestamp: number
cpu: number
load: number
memoryTotal: number
memoryUsed: number
memoryFree: number
memoryZfsArc: number
}
const CustomCpuTooltip = ({ active, payload, label }: any) => {
if (active && payload && payload.length) {
return (
{label}
{payload.map((entry: any, index: number) => (
{entry.name}:
{entry.value}
))}
)
}
return null
}
const CustomMemoryTooltip = ({ active, payload, label }: any) => {
if (active && payload && payload.length) {
return (
{label}
{payload.map((entry: any, index: number) => (
{entry.name}:
{entry.value} GB
))}
)
}
return null
}
export function NodeMetricsCharts() {
const [timeframe, setTimeframe] = useState("day")
const [data, setData] = useState([])
const [loading, setLoading] = useState(true)
const [error, setError] = useState(null)
const isMobile = useIsMobile()
const [visibleLines, setVisibleLines] = useState({
cpu: { cpu: true, load: true },
memory: { memoryTotal: true, memoryUsed: true, memoryZfsArc: true, memoryFree: true },
})
useEffect(() => {
console.log("[v0] NodeMetricsCharts component mounted")
fetchMetrics()
}, [timeframe])
const fetchMetrics = async () => {
console.log("[v0] fetchMetrics called with timeframe:", timeframe)
setLoading(true)
setError(null)
try {
const { protocol, hostname, port } = window.location
const isStandardPort = port === "" || port === "80" || port === "443"
const baseUrl = isStandardPort ? "" : `${protocol}//${hostname}:8008`
const apiUrl = `${baseUrl}/api/node/metrics?timeframe=${timeframe}`
console.log("[v0] Fetching node metrics from:", apiUrl)
const response = await fetch(apiUrl)
console.log("[v0] Response status:", response.status)
console.log("[v0] Response ok:", response.ok)
if (!response.ok) {
const errorText = await response.text()
console.log("[v0] Error response text:", errorText)
throw new Error(`Failed to fetch node metrics: ${response.status}`)
}
const result = await response.json()
console.log("[v0] Node metrics result:", result)
console.log("[v0] Result keys:", Object.keys(result))
console.log("[v0] Data array length:", result.data?.length || 0)
if (!result.data || !Array.isArray(result.data)) {
console.error("[v0] Invalid data format - data is not an array:", result)
throw new Error("Invalid data format received from server")
}
if (result.data.length === 0) {
console.warn("[v0] No data points received")
setData([])
setLoading(false)
return
}
console.log("[v0] First data point sample:", result.data[0])
console.log("[v0] First data point loadavg field:", result.data[0]?.loadavg)
console.log("[v0] loadavg type:", typeof result.data[0]?.loadavg)
console.log("[v0] loadavg is array:", Array.isArray(result.data[0]?.loadavg))
if (result.data[0]?.loadavg) {
console.log("[v0] loadavg length:", result.data[0].loadavg.length)
console.log("[v0] loadavg[0]:", result.data[0].loadavg[0])
}
const transformedData = result.data.map((item: any) => {
const date = new Date(item.time * 1000)
let timeLabel = ""
if (timeframe === "hour") {
timeLabel = date.toLocaleString("en-US", {
hour: "2-digit",
minute: "2-digit",
hour12: false,
})
} else if (timeframe === "day") {
timeLabel = date.toLocaleString("en-US", {
hour: "2-digit",
minute: "2-digit",
hour12: false,
})
} else if (timeframe === "week") {
timeLabel = date.toLocaleString("en-US", {
month: "short",
day: "numeric",
hour: "2-digit",
hour12: false,
})
} else {
timeLabel = date.toLocaleString("en-US", {
month: "short",
day: "numeric",
})
}
return {
time: timeLabel,
timestamp: item.time,
cpu: item.cpu ? Number((item.cpu * 100).toFixed(2)) : 0,
load: item.loadavg
? typeof item.loadavg === "number"
? Number(item.loadavg.toFixed(2))
: Array.isArray(item.loadavg) && item.loadavg.length > 0
? Number(item.loadavg[0].toFixed(2))
: 0
: 0,
memoryTotal: item.memtotal ? Number((item.memtotal / 1024 / 1024 / 1024).toFixed(2)) : 0,
memoryUsed: item.memused ? Number((item.memused / 1024 / 1024 / 1024).toFixed(2)) : 0,
memoryFree: item.memfree ? Number((item.memfree / 1024 / 1024 / 1024).toFixed(2)) : 0,
memoryZfsArc: item.zfsarc ? Number((item.zfsarc / 1024 / 1024 / 1024).toFixed(2)) : 0,
}
})
setData(transformedData)
} catch (err: any) {
console.error("[v0] Error fetching node metrics:", err)
console.error("[v0] Error message:", err.message)
console.error("[v0] Error stack:", err.stack)
setError(err.message || "Error loading metrics")
} finally {
console.log("[v0] fetchMetrics finally block - setting loading to false")
setLoading(false)
}
}
const tickInterval = Math.ceil(data.length / 8)
const handleLegendClick = (chartType: "cpu" | "memory", dataKey: string) => {
setVisibleLines((prev) => ({
...prev,
[chartType]: {
...prev[chartType],
[dataKey as keyof (typeof prev)[typeof chartType]]:
!prev[chartType][dataKey as keyof (typeof prev)[typeof chartType]],
},
}))
}
const renderLegend = (chartType: "cpu" | "memory") => (props: any) => {
const { payload } = props
return (
{payload.map((entry: any, index: number) => {
const isVisible = visibleLines[chartType][entry.dataKey as keyof (typeof visibleLines)[typeof chartType]]
return (
handleLegendClick(chartType, entry.dataKey)}
style={{ opacity: isVisible ? 1 : 0.4 }}
>
{entry.value}
)
})}
)
}
console.log("[v0] Render state - loading:", loading, "error:", error, "data length:", data.length)
if (loading) {
console.log("[v0] Rendering loading state")
return (
)
}
if (error) {
console.log("[v0] Rendering error state:", error)
return (
Metrics data not available yet
{error}
Metrics data not available yet
{error}
)
}
if (data.length === 0) {
console.log("[v0] Rendering no data state")
return (
No metrics data available
No metrics data available
)
}
console.log("[v0] Rendering charts with", data.length, "data points")
return (
{/* Timeframe Selector */}
{/* Charts Grid */}
{/* CPU Usage + Load Average Chart */}
CPU Usage & Load Average
} />
{/* Memory Usage Chart */}
Memory Usage
} />
)
}