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Maybe/app/javascript/controllers/time_series_chart_controller.js

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Flesh out D3 time series charts (#657) * Reindent TimeSeries classes * Fix spacing in time series tests * Remove trend tests where current is nil I think if we've gotten this far with a nil value for current, there's a data integrity problem. If we allow this, we'll have to be very defensive in our code. Best to raise and fix early. * Reindent Money class * Refactor TimeSeries artifacts * Use as_json in TimeSeries * Bring back tests for trends where current is nil * Bring back trend test * Correctly enumerate trend test * Use favorable_direction for trend_styles helper * Make trend public in TimeSeries::Value * Allow nil current values in trends I think I might've gotten it wrong before, nils might appear in trends if values are unavailable for snapshots * Clean up TimeSeries::Trend * Skip trend values same class validations if any values are nil * Refactor Money * Remove object parsing in TimeSeries::Value We're only every passing hashes * Refactor trendline chart controller into a time series chart controller * Replace trendline controller * Implement empty state * Port line-chart controller into time-series-chart * Split out methods * Group similar time series chart functionality * Fix indicator color * Fix empty state in time series chart * Replace line-chart controller with time-series-chart controller * Draw empty time series chart if less than 2 data points * Fix favorable direction serialization * Handle integers as well as money * Fix favorable direction serialization * Replace chart types with optional elements * Prevent double-renders when displaying turbo caches of time series charts * Remove ambiguities between time series and series data * Improve time series chart property names * Clean up tooltip template * Match tooltip designs * Apply trendline gradient * Implement trendline split behavior * Use same stroke width on all trend lines * Sort time series data by date * Support percentages * Use data color for guideline circles * Revert "Use data color for guideline circles" This reverts commit f239a1e00f84ae28e32f48315d67cf990e541a8a. * Use expected defaults for time series chart * Include day in time-series chart x-axis labels * favorableDirection -> favorable_direction * data -> datum where appropriate * Hide change data in tooltip for percentages
2024-04-22 11:44:26 -06:00
import { Controller } from "@hotwired/stimulus"
import tailwindColors from "@maybe/tailwindcolors"
import * as d3 from "d3"
export default class extends Controller {
static values = {
data: Object,
useLabels: { type: Boolean, default: true },
useTooltip: { type: Boolean, default: true },
usePercentSign: Boolean
}
#d3SvgMemo = null
#d3GroupMemo = null
#d3Tooltip = null
#d3InitialContainerWidth = 0
#d3InitialContainerHeight = 0
#normalDataPoints = []
connect() {
this.#install()
document.addEventListener("turbo:load", this.#reinstall)
}
disconnect() {
this.#teardown()
document.removeEventListener("turbo:load", this.#reinstall)
}
#reinstall = () => {
this.#teardown()
this.#install()
}
#teardown() {
this.#d3SvgMemo = null
this.#d3GroupMemo = null
this.#d3Tooltip = null
this.#normalDataPoints = []
this.#d3Container.selectAll("*").remove()
}
#install() {
this.#normalizeDataPoints()
this.#rememberInitialContainerSize()
this.#draw()
}
#normalizeDataPoints() {
this.#normalDataPoints = (this.dataValue.values || []).map((d) => ({
...d,
date: new Date(d.date),
value: d.value.amount ? +d.value.amount : +d.value,
currency: d.value.currency
}))
}
#rememberInitialContainerSize() {
this.#d3InitialContainerWidth = this.#d3Container.node().clientWidth
this.#d3InitialContainerHeight = this.#d3Container.node().clientHeight
}
#draw() {
if (this.#normalDataPoints.length < 2) {
this.#drawEmpty()
} else {
this.#drawChart()
}
}
#drawEmpty() {
this.#d3Svg.selectAll(".tick").remove()
this.#d3Svg.selectAll(".domain").remove()
this.#drawDashedLineEmptyState()
this.#drawCenteredCircleEmptyState()
}
#drawDashedLineEmptyState() {
this.#d3Svg
.append("line")
.attr("x1", this.#d3InitialContainerWidth / 2)
.attr("y1", 0)
.attr("x2", this.#d3InitialContainerWidth / 2)
.attr("y2", this.#d3InitialContainerHeight)
.attr("stroke", tailwindColors.gray[300])
.attr("stroke-dasharray", "4, 4")
}
#drawCenteredCircleEmptyState() {
this.#d3Svg
.append("circle")
.attr("cx", this.#d3InitialContainerWidth / 2)
.attr("cy", this.#d3InitialContainerHeight / 2)
.attr("r", 4)
.style("fill", tailwindColors.gray[400])
}
#drawChart() {
this.#drawTrendline()
if (this.useLabelsValue) {
this.#drawXAxisLabels()
this.#drawGradientBelowTrendline()
}
if (this.useTooltipValue) {
this.#drawTooltip()
this.#trackMouseForShowingTooltip()
}
}
#drawTrendline() {
this.#installTrendlineSplit()
this.#d3Group
.append("path")
.datum(this.#normalDataPoints)
.attr("fill", "none")
.attr("stroke", `url(#${this.element.id}-split-gradient)`)
.attr("d", this.#d3Line)
.attr("stroke-linejoin", "round")
.attr("stroke-linecap", "round")
.attr("stroke-width", 2)
}
#installTrendlineSplit() {
const gradient = this.#d3Svg
.append("defs")
.append("linearGradient")
.attr("id", `${this.element.id}-split-gradient`)
.attr("gradientUnits", "userSpaceOnUse")
.attr("x1", this.#d3XScale.range()[0])
.attr("x2", this.#d3XScale.range()[1])
gradient.append("stop")
.attr("class", "start-color")
.attr("offset", "0%")
.attr("stop-color", this.#trendColor)
gradient.append("stop")
.attr("class", "middle-color")
.attr("offset", "100%")
.attr("stop-color", this.#trendColor)
gradient.append("stop")
.attr("class", "end-color")
.attr("offset", "100%")
.attr("stop-color", tailwindColors.gray[300])
}
#setTrendlineSplitAt(percent) {
this.#d3Svg
.select(`#${this.element.id}-split-gradient`)
.select(".middle-color")
.attr("offset", `${percent * 100}%`)
this.#d3Svg
.select(`#${this.element.id}-split-gradient`)
.select(".end-color")
.attr("offset", `${percent * 100}%`)
this.#d3Svg
.select(`#${this.element.id}-trendline-gradient-rect`)
.attr("width", this.#d3ContainerWidth * percent)
}
#drawXAxisLabels() {
// Add ticks
this.#d3Group
.append("g")
.attr("transform", `translate(0,${this.#d3ContainerHeight})`)
.call(
d3
.axisBottom(this.#d3XScale)
.tickValues([ this.#normalDataPoints[0].date, this.#normalDataPoints[this.#normalDataPoints.length - 1].date ])
.tickSize(0)
.tickFormat(d3.timeFormat("%d %b %Y"))
)
.select(".domain")
.remove()
// Style ticks
this.#d3Group.selectAll(".tick text")
.style("fill", tailwindColors.gray[500])
.style("font-size", "12px")
.style("font-weight", "500")
.attr("text-anchor", "middle")
.attr("dx", (_d, i) => {
// We know we only have 2 values
return i === 0 ? "5em" : "-5em"
})
.attr("dy", "0em")
}
#drawGradientBelowTrendline() {
// Define gradient
const gradient = this.#d3Group
.append("defs")
.append("linearGradient")
.attr("id", `${this.element.id}-trendline-gradient`)
.attr("gradientUnits", "userSpaceOnUse")
.attr("x1", 0)
.attr("x2", 0)
.attr("y1", this.#d3YScale(d3.max(this.#normalDataPoints, d => d.value)))
.attr("y2", this.#d3ContainerHeight)
gradient
.append("stop")
.attr("offset", 0)
.attr("stop-color", this.#trendColor)
.attr("stop-opacity", 0.06)
gradient
.append("stop")
.attr("offset", 0.5)
.attr("stop-color", this.#trendColor)
.attr("stop-opacity", 0)
// Clip path makes gradient start at the trendline
this.#d3Group
.append("clipPath")
.attr("id", `${this.element.id}-clip-below-trendline`)
.append("path")
.datum(this.#normalDataPoints)
.attr("d", d3.area()
.x(d => this.#d3XScale(d.date))
.y0(this.#d3ContainerHeight)
.y1(d => this.#d3YScale(d.value))
)
// Apply the gradient + clip path
this.#d3Group
.append("rect")
.attr("id", `${this.element.id}-trendline-gradient-rect`)
.attr("width", this.#d3ContainerWidth)
.attr("height", this.#d3ContainerHeight)
.attr("clip-path", `url(#${this.element.id}-clip-below-trendline)`)
.style("fill", `url(#${this.element.id}-trendline-gradient)`)
}
#drawTooltip() {
this.#d3Tooltip = d3
.select(`#${this.element.id}`)
.append("div")
.style("position", "absolute")
.style("padding", "8px")
.style("font", "14px Inter, sans-serif")
.style("background", tailwindColors.white)
.style("border", `1px solid ${tailwindColors["alpha-black"][100]}`)
.style("border-radius", "10px")
.style("pointer-events", "none")
.style("opacity", 0) // Starts as hidden
}
#trackMouseForShowingTooltip() {
const bisectDate = d3.bisector(d => d.date).left
this.#d3Group
.append("rect")
.attr("width", this.#d3ContainerWidth)
.attr("height", this.#d3ContainerHeight)
.attr("fill", "none")
.attr("pointer-events", "all")
.on("mousemove", (event) => {
const estimatedTooltipWidth = 250
const pageWidth = document.body.clientWidth
const tooltipX = event.pageX + 10
const overflowX = tooltipX + estimatedTooltipWidth - pageWidth
const adjustedX = overflowX > 0 ? event.pageX - overflowX - 20 : tooltipX
const [xPos] = d3.pointer(event)
const x0 = bisectDate(this.#normalDataPoints, this.#d3XScale.invert(xPos), 1)
const d0 = this.#normalDataPoints[x0 - 1]
const d1 = this.#normalDataPoints[x0]
const d = xPos - this.#d3XScale(d0.date) > this.#d3XScale(d1.date) - xPos ? d1 : d0
const xPercent = this.#d3XScale(d.date) / this.#d3ContainerWidth
this.#setTrendlineSplitAt(xPercent)
// Reset
this.#d3Group.selectAll(".data-point-circle").remove()
this.#d3Group.selectAll(".guideline").remove()
// Guideline
this.#d3Group
.append("line")
.attr("class", "guideline")
.attr("x1", this.#d3XScale(d.date))
.attr("y1", 0)
.attr("x2", this.#d3XScale(d.date))
.attr("y2", this.#d3ContainerHeight)
.attr("stroke", tailwindColors.gray[300])
.attr("stroke-dasharray", "4, 4")
// Big circle
this.#d3Group
.append("circle")
.attr("class", "data-point-circle")
.attr("cx", this.#d3XScale(d.date))
.attr("cy", this.#d3YScale(d.value))
.attr("r", 8)
.attr("fill", this.#trendColor)
.attr("fill-opacity", "0.1")
.attr("pointer-events", "none")
// Small circle
this.#d3Group
.append("circle")
.attr("class", "data-point-circle")
.attr("cx", this.#d3XScale(d.date))
.attr("cy", this.#d3YScale(d.value))
.attr("r", 3)
.attr("fill", this.#trendColor)
.attr("pointer-events", "none")
// Render tooltip
this.#d3Tooltip
.html(this.#tooltipTemplate(d))
.style("opacity", 1)
.style("z-index", 999)
Flesh out D3 time series charts (#657) * Reindent TimeSeries classes * Fix spacing in time series tests * Remove trend tests where current is nil I think if we've gotten this far with a nil value for current, there's a data integrity problem. If we allow this, we'll have to be very defensive in our code. Best to raise and fix early. * Reindent Money class * Refactor TimeSeries artifacts * Use as_json in TimeSeries * Bring back tests for trends where current is nil * Bring back trend test * Correctly enumerate trend test * Use favorable_direction for trend_styles helper * Make trend public in TimeSeries::Value * Allow nil current values in trends I think I might've gotten it wrong before, nils might appear in trends if values are unavailable for snapshots * Clean up TimeSeries::Trend * Skip trend values same class validations if any values are nil * Refactor Money * Remove object parsing in TimeSeries::Value We're only every passing hashes * Refactor trendline chart controller into a time series chart controller * Replace trendline controller * Implement empty state * Port line-chart controller into time-series-chart * Split out methods * Group similar time series chart functionality * Fix indicator color * Fix empty state in time series chart * Replace line-chart controller with time-series-chart controller * Draw empty time series chart if less than 2 data points * Fix favorable direction serialization * Handle integers as well as money * Fix favorable direction serialization * Replace chart types with optional elements * Prevent double-renders when displaying turbo caches of time series charts * Remove ambiguities between time series and series data * Improve time series chart property names * Clean up tooltip template * Match tooltip designs * Apply trendline gradient * Implement trendline split behavior * Use same stroke width on all trend lines * Sort time series data by date * Support percentages * Use data color for guideline circles * Revert "Use data color for guideline circles" This reverts commit f239a1e00f84ae28e32f48315d67cf990e541a8a. * Use expected defaults for time series chart * Include day in time-series chart x-axis labels * favorableDirection -> favorable_direction * data -> datum where appropriate * Hide change data in tooltip for percentages
2024-04-22 11:44:26 -06:00
.style("left", adjustedX + "px")
.style("top", event.pageY - 10 + "px")
})
.on("mouseout", (event) => {
const hoveringOnGuideline = event.toElement?.classList.contains("guideline")
if (!hoveringOnGuideline) {
this.#d3Group.selectAll(".guideline").remove()
this.#d3Group.selectAll(".data-point-circle").remove()
this.#d3Tooltip.style("opacity", 0)
this.#setTrendlineSplitAt(1)
}
})
}
#tooltipTemplate(datum) {
return(`
<div style="margin-bottom: 4px; color: ${tailwindColors.gray[500]};">
${d3.timeFormat("%b %d, %Y")(datum.date)}
</div>
<div style="display: flex; align-items: center; gap: 16px;">
<div style="display: flex; align-items: center; gap: 8px;">
<svg width="10" height="10">
<circle
cx="5"
cy="5"
r="4"
stroke="${this.#tooltipTrendColor(datum)}"
fill="transparent"
stroke-width="1"></circle>
</svg>
${this.#tooltipValue(datum)}${this.usePercentSignValue ? "%" : ""}
</div>
${this.usePercentSignValue || datum.trend.value === 0 || datum.trend.value.amount === 0 ? `
<span style="width: 80px;"></span>
` : `
<span style="color: ${this.#tooltipTrendColor(datum)};">
${this.#tooltipChange(datum)} (${datum.trend.percent}%)
</span>
`}
</div>
`)
}
#tooltipTrendColor(datum) {
return {
up: tailwindColors.success,
down: tailwindColors.error,
flat: tailwindColors.gray[500],
}[datum.trend.direction]
}
#tooltipValue(datum) {
if (datum.currency) {
return this.#currencyValue(datum)
} else {
return datum.value
}
}
#tooltipChange(datum) {
if (datum.currency) {
return this.#currencyChange(datum)
} else {
return this.#decimalChange(datum)
}
}
#currencyValue(datum) {
return Intl.NumberFormat(undefined, {
style: "currency",
currency: datum.currency,
}).format(datum.value)
}
#currencyChange(datum) {
return Intl.NumberFormat(undefined, {
style: "currency",
currency: datum.currency,
signDisplay: "always",
}).format(datum.trend.value.amount)
}
#decimalChange(datum) {
return Intl.NumberFormat(undefined, {
style: "decimal",
signDisplay: "always",
}).format(datum.trend.value)
}
#createMainSvg() {
return this.#d3Container
.append("svg")
.attr("width", this.#d3InitialContainerWidth)
.attr("height", this.#d3InitialContainerHeight)
.attr("viewBox", [ 0, 0, this.#d3InitialContainerWidth, this.#d3InitialContainerHeight ])
}
#createMainGroup() {
return this.#d3Svg
.append("g")
.attr("transform", `translate(${this.#margin.left},${this.#margin.top})`)
}
get #d3Svg() {
if (this.#d3SvgMemo) {
return this.#d3SvgMemo
} else {
return this.#d3SvgMemo = this.#createMainSvg()
}
}
get #d3Group() {
if (this.#d3GroupMemo) {
return this.#d3GroupMemo
} else {
return this.#d3GroupMemo = this.#createMainGroup()
}
}
get #margin() {
if (this.useLabelsValue) {
return { top: 20, right: 0, bottom: 30, left: 0 }
} else {
return { top: 0, right: 0, bottom: 0, left: 0 }
}
}
get #d3ContainerWidth() {
return this.#d3InitialContainerWidth - this.#margin.left - this.#margin.right
}
get #d3ContainerHeight() {
return this.#d3InitialContainerHeight - this.#margin.top - this.#margin.bottom
}
get #d3Container() {
return d3.select(this.element)
}
get #trendColor() {
if (this.#trendDirection === "flat") {
return tailwindColors.gray[500]
} else if (this.#trendDirection === this.#favorableDirection) {
return tailwindColors.green[500]
} else {
return tailwindColors.error
}
}
get #trendDirection() {
return this.dataValue.trend.direction
}
get #favorableDirection() {
return this.dataValue.trend.favorable_direction
}
get #d3Line() {
return d3
.line()
.x(d => this.#d3XScale(d.date))
.y(d => this.#d3YScale(d.value))
}
get #d3XScale() {
return d3
.scaleTime()
.rangeRound([ 0, this.#d3ContainerWidth ])
.domain(d3.extent(this.#normalDataPoints, d => d.date))
}
get #d3YScale() {
const reductionPercent = this.useLabelsValue ? 0.15 : 0.05
const dataMin = d3.min(this.#normalDataPoints, d => d.value)
const dataMax = d3.max(this.#normalDataPoints, d => d.value)
const padding = (dataMax - dataMin) * reductionPercent
return d3
.scaleLinear()
.rangeRound([ this.#d3ContainerHeight, 0 ])
.domain([ dataMin - padding, dataMax + padding ])
}
}