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feat(stats): redesign lab usage
This commit is contained in:
parent
262ef4fdc2
commit
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3 changed files with 515 additions and 79 deletions
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@ -161,7 +161,7 @@ const en = {
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"lab.latestRelease": "Latest release {{date}}",
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"lab.shareOfUsage": "{{share}} of recent OpenCode usage",
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"lab.usageTitle": "{{lab}} token usage",
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"lab.usageDescription": "Daily OpenCode token volume over the last two months.",
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"lab.usageDescription": "Daily token volume.",
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"lab.noUsageTitle": "No usage yet",
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"lab.noUsageDescription": "Recent token usage appears here once this lab has activity.",
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"lab.dailyTokenChart": "{{lab}} daily token usage chart",
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@ -8,7 +8,7 @@ import {
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type StatsLabData,
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} from "@opencode-ai/stats-core/domain/home"
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import { createAsync, query, useParams } from "@solidjs/router"
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import { createMemo, createSignal, For, onMount, Show, type JSX } from "solid-js"
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import { createMemo, createSignal, createUniqueId, For, onMount, Show, type JSX } from "solid-js"
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import { getRequestEvent } from "solid-js/web"
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import { LocaleLinks } from "../../component/locale-links"
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import { useI18n } from "../../context/i18n"
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@ -270,20 +270,58 @@ function LabOverviewMetric(props: { label: string; value: string }) {
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function LabUsageSection(props: { lab: ModelCatalogLab; data: StatsLabData | null }) {
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const i18n = useI18n()
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const activeLineClipId = createUniqueId()
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const activeLineMaskId = createUniqueId()
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const [activeIndex, setActiveIndex] = createSignal<number>()
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const usage = createMemo(() => props.data?.usage ?? [])
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const max = createMemo(() => Math.max(0, ...usage().map((item) => item.tokens)) || 1)
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const tokenMax = createMemo(() => Math.max(0, ...usage().map((item) => item.tokens)) || 1)
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const userMax = createMemo(() => Math.max(0, ...usage().map((item) => item.users)) || 1)
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const linePoints = createMemo(() =>
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usage().map((point, index) => ({
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point,
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x: usagePointX(index, usage().length),
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y: usageLineY(point.users, userMax()),
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})),
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)
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const userLinePath = createMemo(() => usageLinePath(linePoints()))
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const activeLineBreak = createMemo(() => {
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const index = activeIndex()
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if (index === undefined) return undefined
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const points = linePoints()
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if (points.length < 2) return undefined
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return usageColumnBounds(index, points.length)
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})
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const activeLineClip = createMemo(() => {
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const index = activeIndex()
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if (index === undefined) return undefined
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const points = linePoints()
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if (points.length < 2) return undefined
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return usageColumnInnerBounds(index, points.length)
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})
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const monthTicks = createMemo(() => labUsageMonthTicks(usage()))
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const activePoint = createMemo(() => {
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const index = activeIndex()
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if (index === undefined) return undefined
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return usage()[index]
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})
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const activeTooltip = createMemo(() => {
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const index = activeIndex()
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const point = activePoint()
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if (index === undefined || !point) return undefined
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const bounds = usageColumnBounds(index, usage().length)
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return {
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bounds,
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index,
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point,
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userY: linePoints()[index]?.y ?? 100,
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}
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})
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return (
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<section id="usage" data-section="model-panel">
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<SectionHeading
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href="#usage"
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title={i18n.t("lab.usageTitle", { lab: props.lab.name })}
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title={i18n.t("nav.usage")}
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description={i18n.t("lab.usageDescription")}
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/>
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<Show
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@ -292,83 +330,143 @@ function LabUsageSection(props: { lab: ModelCatalogLab; data: StatsLabData | nul
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>
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<div
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data-component="model-usage-chart"
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data-variant="lab-usage"
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data-dense-labels={isLabUsageDense(usage().length) ? "true" : undefined}
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role="img"
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aria-label={i18n.t("lab.dailyTokenChart", { lab: props.lab.name })}
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aria-label={`${props.lab.name} daily token volume and unique active user chart`}
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style={{ "--model-usage-count": usage().length } as JSX.CSSProperties}
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onPointerLeave={(event) => {
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if (event.pointerType === "touch") return
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setActiveIndex(undefined)
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}}
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>
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<div data-slot="model-usage-axis" aria-hidden="true">
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<For each={usage()}>
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{(point, index) => (
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<div
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data-active={activeIndex() === index() ? "true" : undefined}
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data-label-hidden={isLabUsageLabelHidden(index(), usage().length) ? "true" : undefined}
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>
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<span data-slot="model-usage-label">
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<span data-slot="model-usage-total">{formatTokens(point.tokens)}</span>
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<span data-slot="model-usage-date">{point.date}</span>
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</span>
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</div>
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)}
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</For>
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</div>
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<div data-slot="model-usage-bars">
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<For each={usage()}>
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{(point, index) => (
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<div
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data-slot="model-usage-column"
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role="button"
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tabIndex={0}
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aria-label={`${point.date} ${formatTokens(point.tokens)} ${i18n.t("lab.tokens")}`}
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data-active={activeIndex() === index() ? "true" : undefined}
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data-muted={activeIndex() !== undefined && activeIndex() !== index() ? "true" : undefined}
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onPointerDown={(event) => {
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if (event.pointerType !== "touch") return
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setActiveIndex(index())
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}}
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onPointerEnter={() => setActiveIndex(index())}
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onPointerMove={(event) => {
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if (event.pointerType === "touch") return
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setActiveIndex(index())
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}}
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onClick={() => setActiveIndex(index())}
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onFocus={() => setActiveIndex(index())}
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onBlur={() => setActiveIndex(undefined)}
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onKeyDown={(event) => {
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if (event.key !== "Enter" && event.key !== " ") return
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event.preventDefault()
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setActiveIndex(index())
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}}
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>
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<div
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data-slot="model-usage-bar"
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style={{ "--model-usage-fill": `${usageHeight(point.tokens, max())}%` } as JSX.CSSProperties}
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/>
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<Show when={activeIndex() === index() && activePoint()}>
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{(active) => (
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<div
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data-component="chart-tooltip"
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data-placement={index() > usage().length * 0.62 ? "left" : "right"}
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<div data-slot="lab-usage-plot">
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<Show when={userLinePath()}>
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{(path) => (
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<>
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<svg
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data-slot="lab-usage-line"
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data-layer="base"
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viewBox="0 0 100 100"
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preserveAspectRatio="none"
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aria-hidden="true"
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>
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<Show
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when={activeLineBreak()}
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fallback={<path data-slot="lab-usage-line-base" d={path()} />}
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>
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{(lineBreak) => (
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<>
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<defs>
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<mask id={activeLineMaskId} maskUnits="userSpaceOnUse">
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<rect x="0" y="-2" width="100" height="104" fill="white" />
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<rect x={lineBreak().x} y="-2" width={lineBreak().width} height="104" fill="black" />
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</mask>
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</defs>
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<path data-slot="lab-usage-line-base" d={path()} mask={`url(#${activeLineMaskId})`} />
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</>
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)}
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</Show>
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</svg>
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<Show when={activeLineClip()}>
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{(clip) => (
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<svg
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data-slot="lab-usage-line"
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data-layer="active"
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viewBox="0 0 100 100"
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preserveAspectRatio="none"
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aria-hidden="true"
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>
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<strong>{active().date}</strong>
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<span>
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{formatTokens(active().tokens)} {i18n.t("lab.tokens")}
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</span>
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<div data-slot="tooltip-divider" />
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<p>
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<span data-slot="tooltip-label">
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<i /> {i18n.t("lab.dailyTokens")}
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</span>
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<b>{formatTokens(active().tokens)}</b>
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</p>
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</div>
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<defs>
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<clipPath id={activeLineClipId} clipPathUnits="userSpaceOnUse">
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<rect x={clip().x} y="-2" width={clip().width} height="104" />
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</clipPath>
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</defs>
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<path data-slot="lab-usage-line-active" d={path()} clip-path={`url(#${activeLineClipId})`} />
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</svg>
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)}
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</Show>
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</div>
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</>
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)}
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</Show>
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<div data-slot="lab-usage-bars">
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<For each={usage()}>
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{(point, index) => (
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<div
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data-slot="lab-usage-column"
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role="button"
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tabIndex={0}
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aria-label={`${point.date} ${formatTokens(point.tokens)} ${i18n.t("lab.tokens")}, ${formatUsers(point.users)} ${i18n.t("format.users")}`}
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data-active={activeIndex() === index() ? "true" : undefined}
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data-muted={activeIndex() !== undefined && activeIndex() !== index() ? "true" : undefined}
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style={
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{
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"--lab-usage-token-height": `${usageStripHeight(point.tokens, tokenMax())}px`,
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"--lab-usage-user-y": `${linePoints()[index()]?.y ?? 100}`,
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} as JSX.CSSProperties
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}
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onPointerDown={(event) => {
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if (event.pointerType !== "touch") return
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setActiveIndex(index())
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}}
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onPointerEnter={() => setActiveIndex(index())}
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onPointerMove={(event) => {
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if (event.pointerType === "touch") return
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setActiveIndex(index())
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}}
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onClick={() => setActiveIndex(index())}
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onFocus={() => setActiveIndex(index())}
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onBlur={() => setActiveIndex(undefined)}
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onKeyDown={(event) => {
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if (event.key !== "Enter" && event.key !== " ") return
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event.preventDefault()
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setActiveIndex(index())
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}}
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>
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<div data-slot="lab-usage-token-bar" />
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</div>
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)}
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</For>
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</div>
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<Show when={activeTooltip()} keyed>
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{(active) => {
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return (
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<div
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data-component="chart-tooltip"
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data-placement={active.index > usage().length * 0.62 ? "left" : "right"}
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style={
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{
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"--lab-usage-tooltip-left": `${active.bounds.x}%`,
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"--lab-usage-tooltip-right": `${active.bounds.x + active.bounds.width}%`,
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"--lab-usage-user-y": `${active.userY}`,
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} as JSX.CSSProperties
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}
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>
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<strong>{formatUsageTooltipDate(active.point.date)}</strong>
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<span>
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{formatTokens(active.point.tokens)} {i18n.t("lab.tokens")}
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</span>
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<div data-slot="tooltip-divider" />
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<p>
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<span data-slot="tooltip-label">
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<i data-kind="tokens" /> {i18n.t("lab.dailyTokens")}
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</span>
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<b>{formatTokens(active.point.tokens)}</b>
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</p>
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</div>
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)
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}}
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</Show>
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</div>
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<div data-slot="lab-usage-months" aria-hidden="true">
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<For each={monthTicks()}>
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{(tick) => (
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<span
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data-align={tick.align}
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style={{ "--lab-usage-month-left": `${tick.left}%` } as JSX.CSSProperties}
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>
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{tick.label}
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</span>
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)}
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</For>
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</div>
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@ -479,25 +577,119 @@ function formatTokens(value: number) {
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return String(Math.round(value))
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}
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function formatUsers(value: number) {
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if (value >= 1_000_000) return `${trimNumber(value / 1_000_000, value >= 10_000_000 ? 0 : 1)}M`
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if (value >= 1_000) return `${trimNumber(value / 1_000, value >= 10_000 ? 0 : 1)}K`
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return new Intl.NumberFormat("en").format(Math.round(value))
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}
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function formatUsageTooltipDate(value: string) {
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const match = /^([A-Z]{3})\s+(\d{1,2})$/.exec(value)
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if (!match) return value
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return `${monthName(match[1])} ${Number(match[2])} ${new Date().getFullYear()}`
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}
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function monthName(value: string) {
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const names: Record<string, string> = {
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JAN: "Jan",
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FEB: "Feb",
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MAR: "Mar",
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APR: "Apr",
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MAY: "May",
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JUN: "Jun",
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JUL: "Jul",
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AUG: "Aug",
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SEP: "Sep",
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OCT: "Oct",
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NOV: "Nov",
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DEC: "Dec",
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}
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return names[value] ?? value
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}
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function trimNumber(value: number, digits: number) {
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return Number(value.toFixed(digits)).toLocaleString("en")
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}
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function usageHeight(value: number, max: number) {
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function usageStripHeight(value: number, max: number) {
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if (value <= 0 || max <= 0) return 0
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return Math.max(4, (value / max) * 100)
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return Math.max(1, (value / max) * 40)
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}
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function usageLineY(value: number, max: number) {
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if (value <= 0 || max <= 0) return 100
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return Math.max(0, 100 - (value / max) * 100)
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}
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function usagePointX(index: number, count: number) {
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if (count <= 1) return 50
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return ((index + 0.5) / count) * 100
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}
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function usageColumnBounds(index: number, count: number) {
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if (count <= 0) return { x: 0, width: 100 }
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return { x: (index / count) * 100, width: 100 / count }
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}
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function usageColumnInnerBounds(index: number, count: number) {
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const bounds = usageColumnBounds(index, count)
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const inset = Math.min(bounds.width * 0.1, 0.24)
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return { x: bounds.x + inset, width: Math.max(0.001, bounds.width - inset * 2) }
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}
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type UsageLinePoint = { x: number; y: number }
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function usageLinePath(points: UsageLinePoint[]) {
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if (points.length === 0) return ""
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if (points.length === 1) return `M ${pathNumber(points[0].x)} ${pathNumber(points[0].y)}`
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return points.slice(0, -1).reduce(
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(path, point, index) => {
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const next = points[index + 1]
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const previous = points[index - 1] ?? point
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const afterNext = points[index + 2] ?? next
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const controlA = {
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x: point.x + (next.x - previous.x) / 6,
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y: clampUsagePercent(point.y + (next.y - previous.y) / 6),
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}
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const controlB = {
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x: next.x - (afterNext.x - point.x) / 6,
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y: clampUsagePercent(next.y - (afterNext.y - point.y) / 6),
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}
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return `${path} C ${pathNumber(controlA.x)} ${pathNumber(controlA.y)}, ${pathNumber(controlB.x)} ${pathNumber(controlB.y)}, ${pathNumber(next.x)} ${pathNumber(next.y)}`
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},
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`M ${pathNumber(points[0].x)} ${pathNumber(points[0].y)}`,
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)
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}
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function pathNumber(value: number) {
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return Number(value.toFixed(3))
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}
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function clampUsagePercent(value: number) {
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return Math.max(0, Math.min(100, value))
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}
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function labUsageMonthTicks(points: ModelUsagePoint[]) {
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const seen = new Set<string>()
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return points.flatMap((point, index) => {
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const label = point.date.split(" ")[0]
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if (!label || seen.has(label)) return []
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seen.add(label)
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return [
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{
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label,
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left: usagePointX(index, points.length),
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align: index === 0 ? "start" : index >= points.length - 2 ? "end" : "center",
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},
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]
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})
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}
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function isLabUsageDense(count: number) {
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return count > 20
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}
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function isLabUsageLabelHidden(index: number, count: number) {
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if (count <= 14) return false
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const cadence = count > 45 ? 7 : count > 28 ? 4 : 2
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return index % cadence !== 0 && index !== count - 1
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}
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function getProviderIconId(provider: string) {
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const id = provider.toLowerCase().replace(/[^a-z0-9]+/g, "")
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if (id === "moonshot") return "moonshotai"
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@ -2848,7 +2848,7 @@
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align-content: start;
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gap: 24px;
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min-height: 312px;
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padding: 128px 40px 40px;
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padding: 128px 0 40px;
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box-shadow: none;
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}
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@ -3583,6 +3583,189 @@
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font-weight: 500;
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}
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[data-page="stats"] [data-component="model-usage-chart"][data-variant="lab-usage"] {
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--lab-usage-gap: 4px;
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--lab-usage-column-gutter: calc(var(--lab-usage-gap) / 2);
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--lab-usage-bar-height: 40px;
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--lab-usage-line-bottom: 80px;
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--lab-usage-bar: #dbdbdb;
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--lab-usage-line: #808080;
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--lab-usage-active: #3b5cf6;
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--lab-usage-band: #f2f2f2;
|
||||
grid-template-rows: minmax(0, 450px) 14px;
|
||||
gap: 40px;
|
||||
height: 504px;
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-plot"] {
|
||||
position: relative;
|
||||
min-width: 0;
|
||||
min-height: 0;
|
||||
overflow: visible;
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-plot"]::after {
|
||||
position: absolute;
|
||||
inset: 0;
|
||||
z-index: 0;
|
||||
background: linear-gradient(to bottom, transparent 42%, color-mix(in srgb, var(--stats-text) 3%, transparent));
|
||||
content: "";
|
||||
pointer-events: none;
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-line"] {
|
||||
position: absolute;
|
||||
top: 0;
|
||||
right: 0;
|
||||
bottom: auto;
|
||||
left: 0;
|
||||
display: block;
|
||||
width: 100%;
|
||||
height: calc(100% - var(--lab-usage-line-bottom));
|
||||
overflow: visible;
|
||||
pointer-events: none;
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-line"][data-layer="base"] {
|
||||
z-index: 2;
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-line"][data-layer="active"] {
|
||||
z-index: 4;
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-line"] path {
|
||||
fill: none;
|
||||
stroke-linecap: round;
|
||||
stroke-linejoin: round;
|
||||
stroke-width: 1.5;
|
||||
vector-effect: non-scaling-stroke;
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-line-base"] {
|
||||
stroke: var(--lab-usage-line);
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-line-active"] {
|
||||
stroke: var(--lab-usage-active);
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-bars"] {
|
||||
position: absolute;
|
||||
inset: 0;
|
||||
z-index: 3;
|
||||
display: flex;
|
||||
gap: 0;
|
||||
min-width: 0;
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-column"] {
|
||||
position: relative;
|
||||
box-sizing: border-box;
|
||||
flex: 1 1 0;
|
||||
min-width: 0;
|
||||
height: 100%;
|
||||
outline: none;
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-column"]::before {
|
||||
position: absolute;
|
||||
inset: 0;
|
||||
z-index: 1;
|
||||
background: transparent;
|
||||
content: "";
|
||||
pointer-events: none;
|
||||
transition: background 120ms ease;
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-column"][data-active="true"]::before,
|
||||
[data-page="stats"] [data-slot="lab-usage-column"]:focus-visible::before {
|
||||
background: var(--lab-usage-band);
|
||||
box-shadow:
|
||||
inset var(--lab-usage-column-gutter) 0 0 var(--stats-bg),
|
||||
inset calc(var(--lab-usage-column-gutter) * -1) 0 0 var(--stats-bg);
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-token-bar"] {
|
||||
position: absolute;
|
||||
right: var(--lab-usage-column-gutter);
|
||||
bottom: 0;
|
||||
left: var(--lab-usage-column-gutter);
|
||||
z-index: 2;
|
||||
height: var(--lab-usage-token-height);
|
||||
background: var(--lab-usage-bar);
|
||||
transition:
|
||||
background 120ms ease,
|
||||
opacity 120ms ease;
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-column"][data-active="true"] [data-slot="lab-usage-token-bar"] {
|
||||
background: var(--lab-usage-active);
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-column"][data-muted="true"] [data-slot="lab-usage-token-bar"] {
|
||||
opacity: 0.64;
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-months"] {
|
||||
position: relative;
|
||||
height: 14px;
|
||||
color: var(--stats-muted);
|
||||
font-size: 11px;
|
||||
font-weight: 500;
|
||||
line-height: 14px;
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-months"] span {
|
||||
position: absolute;
|
||||
top: 0;
|
||||
left: var(--lab-usage-month-left);
|
||||
transform: translateX(-50%);
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-months"] span[data-align="start"] {
|
||||
transform: none;
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-slot="lab-usage-months"] span[data-align="end"] {
|
||||
transform: translateX(-100%);
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-component="model-usage-chart"][data-variant="lab-usage"] [data-component="chart-tooltip"] {
|
||||
z-index: 6;
|
||||
top: clamp(12px, calc(var(--lab-usage-user-y) * 1% - 38px), calc(100% - 92px));
|
||||
width: 192px;
|
||||
min-width: 192px;
|
||||
background: var(--stats-bg);
|
||||
}
|
||||
|
||||
[data-page="stats"]
|
||||
[data-component="model-usage-chart"][data-variant="lab-usage"]
|
||||
[data-component="chart-tooltip"][data-placement="right"] {
|
||||
right: auto;
|
||||
left: calc(var(--lab-usage-tooltip-right) + 8px);
|
||||
}
|
||||
|
||||
[data-page="stats"]
|
||||
[data-component="model-usage-chart"][data-variant="lab-usage"]
|
||||
[data-component="chart-tooltip"][data-placement="left"] {
|
||||
right: calc(100% - var(--lab-usage-tooltip-left) + 8px);
|
||||
left: auto;
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-component="model-usage-chart"][data-variant="lab-usage"] [data-component="chart-tooltip"] p {
|
||||
height: 16px;
|
||||
margin: 8px 0;
|
||||
}
|
||||
|
||||
[data-page="stats"]
|
||||
[data-component="model-usage-chart"][data-variant="lab-usage"]
|
||||
[data-component="chart-tooltip"]
|
||||
i[data-kind="tokens"] {
|
||||
background: var(--lab-usage-active);
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-component="model-peer-list"] {
|
||||
display: grid;
|
||||
gap: 8px;
|
||||
|
|
@ -3669,6 +3852,15 @@
|
|||
--stats-logo-stroke: #211e1e;
|
||||
}
|
||||
|
||||
[data-page="stats"][data-theme="dark"] [data-component="model-usage-chart"][data-variant="lab-usage"],
|
||||
:root[data-stats-theme="dark"]
|
||||
[data-page="stats"]:not([data-theme="light"])
|
||||
[data-component="model-usage-chart"][data-variant="lab-usage"] {
|
||||
--lab-usage-bar: #3a3a3a;
|
||||
--lab-usage-line: #a3a3a3;
|
||||
--lab-usage-band: #242424;
|
||||
}
|
||||
|
||||
[data-page="stats"][data-theme="dark"] [data-component="chart-tooltip"],
|
||||
:root[data-stats-theme="dark"] [data-page="stats"]:not([data-theme="light"]) [data-component="chart-tooltip"] {
|
||||
background: #242424f2;
|
||||
|
|
@ -3820,6 +4012,14 @@
|
|||
--stats-logo-stroke: #211e1e;
|
||||
}
|
||||
|
||||
:root:not([data-stats-theme="light"])
|
||||
[data-page="stats"]:not([data-theme="light"])
|
||||
[data-component="model-usage-chart"][data-variant="lab-usage"] {
|
||||
--lab-usage-bar: #3a3a3a;
|
||||
--lab-usage-line: #a3a3a3;
|
||||
--lab-usage-band: #242424;
|
||||
}
|
||||
|
||||
:root:not([data-stats-theme="light"]) [data-page="stats"]:not([data-theme="light"]) [data-component="chart-tooltip"] {
|
||||
background: #242424f2;
|
||||
}
|
||||
|
|
@ -3915,6 +4115,21 @@
|
|||
}
|
||||
}
|
||||
|
||||
[data-page="stats"][data-theme="dark"]
|
||||
[data-component="model-usage-chart"][data-variant="lab-usage"]
|
||||
[data-component="chart-tooltip"],
|
||||
:root[data-stats-theme="dark"]
|
||||
[data-page="stats"]:not([data-theme="light"])
|
||||
[data-component="model-usage-chart"][data-variant="lab-usage"]
|
||||
[data-component="chart-tooltip"],
|
||||
:root:not([data-stats-theme="light"])
|
||||
[data-page="stats"]:not([data-theme="light"])
|
||||
[data-component="model-usage-chart"][data-variant="lab-usage"]
|
||||
[data-component="chart-tooltip"],
|
||||
[data-page="stats"] [data-component="model-usage-chart"][data-variant="lab-usage"] [data-component="chart-tooltip"] {
|
||||
background: var(--stats-bg);
|
||||
}
|
||||
|
||||
@media (min-width: 48rem) {
|
||||
[data-page="stats"] [data-slot="header-button"][data-variant="neutral"] {
|
||||
display: inline-flex;
|
||||
|
|
@ -4372,6 +4587,35 @@
|
|||
left: 0;
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-component="model-usage-chart"][data-variant="lab-usage"] {
|
||||
--model-usage-mobile-bar-width: 20px;
|
||||
--model-usage-mobile-edge-space: 48px;
|
||||
--model-usage-mobile-track-width: calc(
|
||||
var(--model-usage-count) * var(--model-usage-mobile-bar-width) + var(--model-usage-mobile-edge-space)
|
||||
);
|
||||
--lab-usage-line-bottom: 64px;
|
||||
grid-template-rows: minmax(0, 360px) 14px;
|
||||
gap: 24px;
|
||||
height: 398px;
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-component="model-usage-chart"][data-variant="lab-usage"] [data-slot="lab-usage-plot"],
|
||||
[data-page="stats"] [data-component="model-usage-chart"][data-variant="lab-usage"] [data-slot="lab-usage-months"] {
|
||||
direction: ltr;
|
||||
width: var(--model-usage-mobile-track-width);
|
||||
min-width: var(--model-usage-mobile-track-width);
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-component="model-usage-chart"][data-variant="lab-usage"] [data-slot="lab-usage-column"] {
|
||||
flex: 0 0 var(--model-usage-mobile-bar-width);
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-component="model-usage-chart"][data-variant="lab-usage"] [data-component="chart-tooltip"] {
|
||||
top: auto;
|
||||
width: auto;
|
||||
min-width: 0;
|
||||
}
|
||||
|
||||
[data-page="stats"] [data-component="model-peer-list"] a {
|
||||
grid-template-columns: 30px minmax(0, 1fr) minmax(64px, auto);
|
||||
}
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue