mirror of https://github.com/ethereum/go-ethereum
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232 lines
6.9 KiB
232 lines
6.9 KiB
package main
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import (
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"math"
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"reflect"
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"sort"
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"strings"
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"time"
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"github.com/codegangsta/cli"
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"github.com/ethereum/go-ethereum/cmd/utils"
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"github.com/ethereum/go-ethereum/rpc"
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"github.com/ethereum/go-ethereum/rpc/codec"
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"github.com/ethereum/go-ethereum/rpc/comms"
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"github.com/gizak/termui"
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)
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// monitor starts a terminal UI based monitoring tool for the requested metrics.
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func monitor(ctx *cli.Context) {
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var (
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client comms.EthereumClient
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args []string
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err error
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)
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// Attach to an Ethereum node over IPC or RPC
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if ctx.Args().Present() {
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// Try to interpret the first parameter as an endpoint
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client, err = comms.ClientFromEndpoint(ctx.Args().First(), codec.JSON)
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if err == nil {
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args = ctx.Args().Tail()
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}
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}
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if !ctx.Args().Present() || err != nil {
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// Either no args were given, or not endpoint, use defaults
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cfg := comms.IpcConfig{
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Endpoint: ctx.GlobalString(utils.IPCPathFlag.Name),
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}
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args = ctx.Args()
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client, err = comms.NewIpcClient(cfg, codec.JSON)
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}
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if err != nil {
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utils.Fatalf("Unable to attach to geth node - %v", err)
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}
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defer client.Close()
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xeth := rpc.NewXeth(client)
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// Retrieve all the available metrics and resolve the user pattens
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metrics, err := xeth.Call("debug_metrics", []interface{}{true})
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if err != nil {
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utils.Fatalf("Failed to retrieve system metrics: %v", err)
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}
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monitored := resolveMetrics(metrics, args)
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sort.Strings(monitored)
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// Create the access function and check that the metric exists
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value := func(metrics map[string]interface{}, metric string) float64 {
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parts, found := strings.Split(metric, "/"), true
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for _, part := range parts[:len(parts)-1] {
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metrics, found = metrics[part].(map[string]interface{})
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if !found {
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utils.Fatalf("Metric not found: %s", metric)
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}
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}
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if v, ok := metrics[parts[len(parts)-1]].(float64); ok {
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return v
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}
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utils.Fatalf("Metric not float64: %s", metric)
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return 0
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}
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// Create and configure the chart UI defaults
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if err := termui.Init(); err != nil {
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utils.Fatalf("Unable to initialize terminal UI: %v", err)
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}
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defer termui.Close()
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termui.UseTheme("helloworld")
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rows := 5
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cols := (len(monitored) + rows - 1) / rows
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for i := 0; i < rows; i++ {
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termui.Body.AddRows(termui.NewRow())
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}
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// Create each individual data chart
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charts := make([]*termui.LineChart, len(monitored))
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data := make([][]float64, len(monitored))
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for i := 0; i < len(data); i++ {
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data[i] = make([]float64, 512)
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}
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for i, metric := range monitored {
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charts[i] = termui.NewLineChart()
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charts[i].Data = make([]float64, 512)
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charts[i].DataLabels = []string{""}
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charts[i].Height = termui.TermHeight() / rows
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charts[i].AxesColor = termui.ColorWhite
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charts[i].LineColor = termui.ColorGreen
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charts[i].PaddingBottom = -1
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charts[i].Border.Label = metric
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charts[i].Border.LabelFgColor = charts[i].Border.FgColor
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charts[i].Border.FgColor = charts[i].Border.BgColor
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row := termui.Body.Rows[i%rows]
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row.Cols = append(row.Cols, termui.NewCol(12/cols, 0, charts[i]))
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}
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termui.Body.Align()
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termui.Render(termui.Body)
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refresh := time.Tick(time.Second)
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for {
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select {
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case event := <-termui.EventCh():
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if event.Type == termui.EventKey && event.Ch == 'q' {
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return
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}
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if event.Type == termui.EventResize {
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termui.Body.Width = termui.TermWidth()
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for _, chart := range charts {
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chart.Height = termui.TermHeight() / rows
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}
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termui.Body.Align()
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termui.Render(termui.Body)
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}
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case <-refresh:
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metrics, err := xeth.Call("debug_metrics", []interface{}{true})
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if err != nil {
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utils.Fatalf("Failed to retrieve system metrics: %v", err)
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}
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for i, metric := range monitored {
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data[i] = append([]float64{value(metrics, metric)}, data[i][:len(data[i])-1]...)
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updateChart(metric, data[i], charts[i])
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}
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termui.Render(termui.Body)
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}
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}
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}
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// resolveMetrics takes a list of input metric patterns, and resolves each to one
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// or more canonical metric names.
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func resolveMetrics(metrics map[string]interface{}, patterns []string) []string {
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res := []string{}
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for _, pattern := range patterns {
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res = append(res, resolveMetric(metrics, pattern, "")...)
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}
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return res
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}
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// resolveMetrics takes a single of input metric pattern, and resolves it to one
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// or more canonical metric names.
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func resolveMetric(metrics map[string]interface{}, pattern string, path string) []string {
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results := []string{}
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// If a nested metric was requested, recurse optionally branching (via comma)
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parts := strings.SplitN(pattern, "/", 2)
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if len(parts) > 1 {
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for _, variation := range strings.Split(parts[0], ",") {
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if submetrics, ok := metrics[variation].(map[string]interface{}); !ok {
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utils.Fatalf("Failed to retrieve system metrics: %s", path+variation)
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return nil
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} else {
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results = append(results, resolveMetric(submetrics, parts[1], path+variation+"/")...)
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}
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}
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return results
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}
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// Depending what the last link is, return or expand
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for _, variation := range strings.Split(pattern, ",") {
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switch metric := metrics[variation].(type) {
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case float64:
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// Final metric value found, return as singleton
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results = append(results, path+variation)
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case map[string]interface{}:
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results = append(results, expandMetrics(metric, path+variation+"/")...)
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default:
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utils.Fatalf("Metric pattern resolved to unexpected type: %v", reflect.TypeOf(metric))
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return nil
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}
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}
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return results
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}
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// expandMetrics expands the entire tree of metrics into a flat list of paths.
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func expandMetrics(metrics map[string]interface{}, path string) []string {
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// Iterate over all fields and expand individually
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list := []string{}
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for name, metric := range metrics {
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switch metric := metric.(type) {
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case float64:
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// Final metric value found, append to list
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list = append(list, path+name)
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case map[string]interface{}:
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// Tree of metrics found, expand recursively
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list = append(list, expandMetrics(metric, path+name+"/")...)
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default:
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utils.Fatalf("Metric pattern %s resolved to unexpected type: %v", path+name, reflect.TypeOf(metric))
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return nil
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}
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}
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return list
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}
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// updateChart inserts a dataset into a line chart, scaling appropriately as to
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// not display weird labels, also updating the chart label accordingly.
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func updateChart(metric string, data []float64, chart *termui.LineChart) {
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units := []string{"", "K", "M", "G", "T", "E", "P"}
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colors := []termui.Attribute{termui.ColorBlue, termui.ColorCyan, termui.ColorGreen, termui.ColorYellow, termui.ColorRed, termui.ColorRed, termui.ColorRed}
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// Find the maximum value and scale under 1K
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high := data[0]
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for _, value := range data[1:] {
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high = math.Max(high, value)
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}
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unit, scale := 0, 1.0
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for high >= 1000 {
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high, unit, scale = high/1000, unit+1, scale*1000
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}
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// Update the chart's data points with the scaled values
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for i, value := range data {
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chart.Data[i] = value / scale
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}
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// Update the chart's label with the scale units
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chart.Border.Label = metric
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if unit > 0 {
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chart.Border.Label += " [" + units[unit] + "]"
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}
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chart.LineColor = colors[unit]
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}
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