waveapps/histogram/histogram-main.go at main · wavetermdev/waveapps · GitHub

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package main

import (

"bufio"

"context"

_ "embed"

"flag"

"fmt"

"math"

"os"

"sort"

"strconv"

"strings"

"github.com/wavetermdev/waveterm/pkg/vdom"

"github.com/wavetermdev/waveterm/pkg/waveapp"

)

//go:embed style.css

var styleCSS []byte

// CLI flags

var (

numBuckets = flag.Int("b", 10, "initial number of buckets")

minValue = flag.Float64("min", math.NaN(), "minimum value (auto if not specified)")

maxValue = flag.Float64("max", math.NaN(), "maximum value (auto if not specified)")

)

var AppClient = waveapp.MakeClient(waveapp.AppOpts{

CloseOnCtrlC: true,

GlobalStyles: styleCSS,

})

type HistogramProps struct {

Values []float64 `json:"values"`

NumBuckets int `json:"numBuckets"`

MinValue *float64 `json:"minValue"`

MaxValue *float64 `json:"maxValue"`

}

type HistogramBucket struct {

Start float64

End float64

Count int

Height int

}

func calcStats(values []float64) (mean, median, stddev float64) {

if len(values) == 0 {

return 0, 0, 0

}

// Calculate mean

sum := 0.0

for _, v := range values {

sum += v

}

mean = sum / float64(len(values))

// Calculate median

sorted := make([]float64, len(values))

copy(sorted, values)

sort.Float64s(sorted)

if len(sorted)%2 == 0 {

median = (sorted[len(sorted)/2-1] + sorted[len(sorted)/2]) / 2

} else {

median = sorted[len(sorted)/2]

}

// Calculate standard deviation

sumSquares := 0.0

for _, v := range values {

diff := v - mean

sumSquares += diff * diff

}

stddev = math.Sqrt(sumSquares / float64(len(values)))

return mean, median, stddev

}

var Histogram = waveapp.DefineComponent[HistogramProps](AppClient, "Histogram",

func(ctx context.Context, props HistogramProps) any {

if len(props.Values) == 0 {

return vdom.H("div", map[string]any{

"className": "histogram-empty",

}, "Waiting for data...")

}

// Calculate data range and stats

min, max := props.Values[0], props.Values[0]

for _, v := range props.Values {

if v < min {

min = v

}

if v > max {

max = v

}

mean, median, stddev := calcStats(props.Values)

// Use provided min/max if set

bucketMin := min

if props.MinValue != nil {

bucketMin = *props.MinValue

}

bucketMax := max

if props.MaxValue != nil {

bucketMax = *props.MaxValue

}

// Create evenly spaced buckets

bucketSize := (bucketMax - bucketMin) / float64(props.NumBuckets)

buckets := make([]HistogramBucket, props.NumBuckets)

// Initialize bucket ranges

for i := range buckets {

buckets[i].Start = bucketMin + float64(i)*bucketSize

buckets[i].End = buckets[i].Start + bucketSize

}

// Fill buckets

maxCount := 0

for _, v := range props.Values {

bucketValue := v

if props.MinValue != nil && v < *props.MinValue {

bucketValue = *props.MinValue

}

if props.MaxValue != nil && v > *props.MaxValue {

bucketValue = *props.MaxValue

}

bucketIdx := int((bucketValue - bucketMin) / bucketSize)

if bucketIdx >= len(buckets) {

bucketIdx = len(buckets) - 1

}

if bucketIdx >= 0 && bucketIdx < len(buckets) {

buckets[bucketIdx].Count++

if buckets[bucketIdx].Count > maxCount {

maxCount = buckets[bucketIdx].Count

}

// Normalize heights

const maxHeight = 20

for i := range buckets {

if maxCount > 0 {

buckets[i].Height = (buckets[i].Count * maxHeight) / maxCount

}

return vdom.H("div", map[string]any{

"className": "histogram",

// Stats header

vdom.H("div", map[string]any{

"className": "histogram-stats",

"Count: ", len(props.Values),

" | Range: ", strconv.FormatFloat(min, 'f', 2, 64),

" - ", strconv.FormatFloat(max, 'f', 2, 64),

" | Mean: ", strconv.FormatFloat(mean, 'f', 2, 64),

" | Median: ", strconv.FormatFloat(median, 'f', 2, 64),

" | StdDev: ", strconv.FormatFloat(stddev, 'f', 2, 64),

// Single scrolling container for both bars and labels

vdom.H("div", map[string]any{

"className": "histogram-scroll-container",

// Container for all columns and final label

vdom.H("div", map[string]any{

"className": "histogram-content",

// Generate columns (bars + labels)

vdom.ForEachIdx(buckets, func(bucket HistogramBucket, idx int) any {

return vdom.H("div", map[string]any{

"key": idx,

"className": "histogram-column",

// Count label (visible on hover)

vdom.H("div", map[string]any{

"className": "count-label",

}, strconv.Itoa(bucket.Count)),

// Bar

vdom.H("div", map[string]any{

"className": vdom.Classes(

"bar",

vdom.If(bucket.Count == 0, "empty"),

"style": map[string]any{

"height": func() string {

if bucket.Count == 0 {

return "1px"

}

return fmt.Sprintf("%dpx", bucket.Height*8)

}(),

}),

// Label for left boundary

vdom.H("div", map[string]any{

"className": "x-label",

}, strconv.FormatFloat(bucket.Start, 'f', 1, 64)),

)

}),

// Final label for rightmost boundary

vdom.H("div", map[string]any{

"className": "histogram-final-label",

vdom.H("div", map[string]any{

"className": "x-label",

}, strconv.FormatFloat(bucketMax, 'f', 1, 64)),

)

var App = waveapp.DefineComponent(AppClient, "App",

func(ctx context.Context, _ any) any {

// Initialize with CLI values

initialMin := (*float64)(nil)

if !math.IsNaN(*minValue) {

initialMin = minValue

}

initialMax := (*float64)(nil)

if !math.IsNaN(*maxValue) {

initialMax = maxValue

}

values, _, setValuesFn := vdom.UseStateWithFn(ctx, []float64{})

numBuckets, setNumBuckets := vdom.UseState(ctx, *numBuckets)

minValue, setMinValue := vdom.UseState(ctx, (*float64)(initialMin))

maxValue, setMaxValue := vdom.UseState(ctx, (*float64)(initialMax))

vdom.UseEffect(ctx, func() func() {

done := make(chan bool)

go func() {

defer close(done)

scanner := bufio.NewScanner(os.Stdin)

for scanner.Scan() {

line := strings.TrimSpace(scanner.Text())

if line == "" {

continue

}

if num, err := strconv.ParseFloat(line, 64); err == nil {

setValuesFn(func(currentValues []float64) []float64 {

newValues := make([]float64, len(currentValues)+1)

copy(newValues, currentValues)

newValues[len(currentValues)] = num

return newValues

})

AppClient.SendAsyncInitiation()

}

}()

return func() {

<-done

}

}, []any{})

return vdom.H("div", map[string]any{

"className": "app",

vdom.H("div", map[string]any{

"className": "controls",

vdom.H("div", map[string]any{

"className": "control-group",

vdom.H("label", nil, "Number of buckets: "),

vdom.H("input", map[string]any{

"type": "text",

"value": numBuckets,

"onChange": func(e vdom.VDomEvent) {

if n, err := strconv.Atoi(e.TargetValue); err == nil && n >= 2 && n <= 100 {

setNumBuckets(n)

} else {

setNumBuckets(10)

}

}),

vdom.H("div", map[string]any{

"className": "control-group",

vdom.H("label", nil, "Min value: "),

vdom.H("input", map[string]any{

"type": "text",

"value": func() string {

if minValue != nil {

return strconv.FormatFloat(*minValue, 'f', -1, 64)

}

return ""

}(),

"placeholder": "auto",

"onChange": func(e vdom.VDomEvent) {

if e.TargetValue == "" {

setMinValue(nil)

} else if val, err := strconv.ParseFloat(e.TargetValue, 64); err == nil {

setMinValue(&val)

}

}),

vdom.If(minValue != nil,

vdom.H("button", map[string]any{

"onClick": func() { setMinValue(nil) },

"className": "clear-btn",

}, "×"),

vdom.H("div", map[string]any{

"className": "control-group",

vdom.H("label", nil, "Max value: "),

vdom.H("input", map[string]any{

"type": "text",

"value": func() string {

if maxValue != nil {

return strconv.FormatFloat(*maxValue, 'f', -1, 64)

}

return ""

}(),

"placeholder": "auto",

"onChange": func(e vdom.VDomEvent) {

if e.TargetValue == "" {

setMaxValue(nil)

} else if val, err := strconv.ParseFloat(e.TargetValue, 64); err == nil {

setMaxValue(&val)

}

}),

vdom.If(maxValue != nil,

vdom.H("button", map[string]any{

"onClick": func() { setMaxValue(nil) },

"className": "clear-btn",

}, "×"),

Histogram(HistogramProps{

Values: values,

NumBuckets: numBuckets,

MinValue: minValue,

MaxValue: maxValue,

}),

)

func main() {

// Register WaveApp's flags first

AppClient.RegisterDefaultFlags()

// Parse our flags

flag.Parse()

if *numBuckets < 2 {

fmt.Fprintf(os.Stderr, "Number of buckets must be at least 2\n")

os.Exit(1)

}

if *numBuckets > 100 {

fmt.Fprintf(os.Stderr, "Number of buckets must be at most 100\n")

os.Exit(1)

}

AppClient.RunMain()

}

waveapps/histogram/histogram-main.go at main · wavetermdev/waveapps · GitHub

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