package main import ( "fmt" "math" "reflect" "sort" "strings" "time" "github.com/codegangsta/cli" "github.com/ethereum/go-ethereum/cmd/utils" "github.com/ethereum/go-ethereum/common" "github.com/ethereum/go-ethereum/rpc" "github.com/ethereum/go-ethereum/rpc/codec" "github.com/ethereum/go-ethereum/rpc/comms" "github.com/gizak/termui" ) var ( monitorCommandAttachFlag = cli.StringFlag{ Name: "attach", Value: "ipc:" + common.DefaultIpcPath(), Usage: "API endpoint to attach to", } monitorCommandRowsFlag = cli.IntFlag{ Name: "rows", Value: 5, Usage: "Maximum rows in the chart grid", } monitorCommandRefreshFlag = cli.IntFlag{ Name: "refresh", Value: 3, Usage: "Refresh interval in seconds", } monitorCommand = cli.Command{ Action: monitor, Name: "monitor", Usage: `Geth Monitor: node metrics monitoring and visualization`, Description: ` The Geth monitor is a tool to collect and visualize various internal metrics gathered by the node, supporting different chart types as well as the capacity to display multiple metrics simultaneously. `, Flags: []cli.Flag{ monitorCommandAttachFlag, monitorCommandRowsFlag, monitorCommandRefreshFlag, }, } ) // monitor starts a terminal UI based monitoring tool for the requested metrics. func monitor(ctx *cli.Context) { var ( client comms.EthereumClient err error ) // Attach to an Ethereum node over IPC or RPC endpoint := ctx.String(monitorCommandAttachFlag.Name) if client, err = comms.ClientFromEndpoint(endpoint, codec.JSON); err != nil { utils.Fatalf("Unable to attach to geth node: %v", err) } defer client.Close() xeth := rpc.NewXeth(client) // Retrieve all the available metrics and resolve the user pattens metrics, err := retrieveMetrics(xeth) if err != nil { utils.Fatalf("Failed to retrieve system metrics: %v", err) } monitored := resolveMetrics(metrics, ctx.Args()) if len(monitored) == 0 { list := []string{} for _, metric := range expandMetrics(metrics, "") { switch { case strings.HasSuffix(metric, "/0"): list = append(list, strings.Replace(metric, "/0", "/[0-100]", -1)) case !strings.Contains(metric, "Percentiles"): list = append(list, metric) } } sort.Strings(list) utils.Fatalf("No metrics specified.\n\nAvailable:\n - %s", strings.Join(list, "\n - ")) } sort.Strings(monitored) if cols := len(monitored) / ctx.Int(monitorCommandRowsFlag.Name); cols > 6 { utils.Fatalf("Requested metrics (%d) spans more that 6 columns:\n - %s", len(monitored), strings.Join(monitored, "\n - ")) } // Create and configure the chart UI defaults if err := termui.Init(); err != nil { utils.Fatalf("Unable to initialize terminal UI: %v", err) } defer termui.Close() termui.UseTheme("helloworld") rows := len(monitored) if max := ctx.Int(monitorCommandRowsFlag.Name); rows > max { rows = max } cols := (len(monitored) + rows - 1) / rows for i := 0; i < rows; i++ { termui.Body.AddRows(termui.NewRow()) } // Create each individual data chart footer := termui.NewPar("") footer.HasBorder = true footer.Height = 3 charts := make([]*termui.LineChart, len(monitored)) data := make([][]float64, len(monitored)) for i := 0; i < len(data); i++ { data[i] = make([]float64, 512) } for i, metric := range monitored { charts[i] = termui.NewLineChart() charts[i].Data = make([]float64, 512) charts[i].DataLabels = []string{""} charts[i].Height = (termui.TermHeight() - footer.Height) / rows charts[i].AxesColor = termui.ColorWhite charts[i].PaddingBottom = -1 charts[i].Border.Label = metric charts[i].Border.LabelFgColor = charts[i].Border.FgColor | termui.AttrBold charts[i].Border.FgColor = charts[i].Border.BgColor row := termui.Body.Rows[i%rows] row.Cols = append(row.Cols, termui.NewCol(12/cols, 0, charts[i])) } termui.Body.AddRows(termui.NewRow(termui.NewCol(12, 0, footer))) termui.Body.Align() termui.Render(termui.Body) refreshCharts(xeth, monitored, data, charts, ctx, footer) termui.Render(termui.Body) // Watch for various system events, and periodically refresh the charts refresh := time.Tick(time.Duration(ctx.Int(monitorCommandRefreshFlag.Name)) * time.Second) for { select { case event := <-termui.EventCh(): if event.Type == termui.EventKey && event.Ch == 'q' { return } if event.Type == termui.EventResize { termui.Body.Width = termui.TermWidth() for _, chart := range charts { chart.Height = (termui.TermHeight() - footer.Height) / rows } termui.Body.Align() termui.Render(termui.Body) } case <-refresh: refreshCharts(xeth, monitored, data, charts, ctx, footer) termui.Render(termui.Body) } } } // retrieveMetrics contacts the attached geth node and retrieves the entire set // of collected system metrics. func retrieveMetrics(xeth *rpc.Xeth) (map[string]interface{}, error) { return xeth.Call("debug_metrics", []interface{}{true}) } // resolveMetrics takes a list of input metric patterns, and resolves each to one // or more canonical metric names. func resolveMetrics(metrics map[string]interface{}, patterns []string) []string { res := []string{} for _, pattern := range patterns { res = append(res, resolveMetric(metrics, pattern, "")...) } return res } // resolveMetrics takes a single of input metric pattern, and resolves it to one // or more canonical metric names. func resolveMetric(metrics map[string]interface{}, pattern string, path string) []string { results := []string{} // If a nested metric was requested, recurse optionally branching (via comma) parts := strings.SplitN(pattern, "/", 2) if len(parts) > 1 { for _, variation := range strings.Split(parts[0], ",") { if submetrics, ok := metrics[variation].(map[string]interface{}); !ok { utils.Fatalf("Failed to retrieve system metrics: %s", path+variation) return nil } else { results = append(results, resolveMetric(submetrics, parts[1], path+variation+"/")...) } } return results } // Depending what the last link is, return or expand for _, variation := range strings.Split(pattern, ",") { switch metric := metrics[variation].(type) { case float64: // Final metric value found, return as singleton results = append(results, path+variation) case map[string]interface{}: results = append(results, expandMetrics(metric, path+variation+"/")...) default: utils.Fatalf("Metric pattern resolved to unexpected type: %v", reflect.TypeOf(metric)) return nil } } return results } // expandMetrics expands the entire tree of metrics into a flat list of paths. func expandMetrics(metrics map[string]interface{}, path string) []string { // Iterate over all fields and expand individually list := []string{} for name, metric := range metrics { switch metric := metric.(type) { case float64: // Final metric value found, append to list list = append(list, path+name) case map[string]interface{}: // Tree of metrics found, expand recursively list = append(list, expandMetrics(metric, path+name+"/")...) default: utils.Fatalf("Metric pattern %s resolved to unexpected type: %v", path+name, reflect.TypeOf(metric)) return nil } } return list } // fetchMetric iterates over the metrics map and retrieves a specific one. func fetchMetric(metrics map[string]interface{}, metric string) float64 { parts, found := strings.Split(metric, "/"), true for _, part := range parts[:len(parts)-1] { metrics, found = metrics[part].(map[string]interface{}) if !found { return 0 } } if v, ok := metrics[parts[len(parts)-1]].(float64); ok { return v } return 0 } // refreshCharts retrieves a next batch of metrics, and inserts all the new // values into the active datasets and charts func refreshCharts(xeth *rpc.Xeth, metrics []string, data [][]float64, charts []*termui.LineChart, ctx *cli.Context, footer *termui.Par) { values, err := retrieveMetrics(xeth) for i, metric := range metrics { data[i] = append([]float64{fetchMetric(values, metric)}, data[i][:len(data[i])-1]...) updateChart(metric, data[i], charts[i], err) } updateFooter(ctx, err, footer) } // updateChart inserts a dataset into a line chart, scaling appropriately as to // not display weird labels, also updating the chart label accordingly. func updateChart(metric string, data []float64, chart *termui.LineChart, err error) { dataUnits := []string{"", "K", "M", "G", "T", "E"} timeUnits := []string{"ns", "µs", "ms", "s", "ks", "ms"} colors := []termui.Attribute{termui.ColorBlue, termui.ColorCyan, termui.ColorGreen, termui.ColorYellow, termui.ColorRed, termui.ColorRed} // Extract only part of the data that's actually visible data = data[:chart.Width*2] // Find the maximum value and scale under 1K high := data[0] for _, value := range data[1:] { high = math.Max(high, value) } unit, scale := 0, 1.0 for high >= 1000 { high, unit, scale = high/1000, unit+1, scale*1000 } // Update the chart's data points with the scaled values for i, value := range data { chart.Data[i] = value / scale } // Update the chart's label with the scale units chart.Border.Label = metric units := dataUnits if strings.Contains(metric, "Percentiles") { units = timeUnits } if len(units[unit]) > 0 { chart.Border.Label += " [" + units[unit] + "]" } chart.LineColor = colors[unit] | termui.AttrBold if err != nil { chart.LineColor = termui.ColorRed | termui.AttrBold } } // updateFooter updates the footer contents based on any encountered errors. func updateFooter(ctx *cli.Context, err error, footer *termui.Par) { // Generate the basic footer refresh := time.Duration(ctx.Int(monitorCommandRefreshFlag.Name)) * time.Second footer.Text = fmt.Sprintf("Press q to quit. Refresh interval: %v.", refresh) footer.TextFgColor = termui.Theme().ParTextFg | termui.AttrBold // Append any encountered errors if err != nil { footer.Text = fmt.Sprintf("Error: %v.", err) footer.TextFgColor = termui.ColorRed | termui.AttrBold } }