mirror of
https://github.com/multica-ai/multica.git
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* refactor(ui): converge ActorAvatar size to semantic tiers (MUL-4277) Replace the free-form numeric `size` on ActorAvatar with a constrained `AvatarSize` union (xs/sm/md/lg/xl/2xl) so avatar dimensions are chosen by role instead of ad-hoc pixels. This eliminates the magic-number drift where the same role rendered at different sizes across pages. - Add `@multica/ui/lib/avatar-size` (AvatarSize union + AVATAR_SIZE_PX map + default tier). - Base `ActorAvatar` (packages/ui) and business `ActorAvatar`/`AgentStatusDot` (packages/views) now take `AvatarSize`; internal font/icon math and the presence-dot threshold read px from the map. - Migrate all web/desktop call sites (packages/ui + packages/views) from numeric sizes to tiers using the role table (12,14->xs 16,18,20->sm 22,24,28->md 30,32,34->lg 40,44->xl 56,64->2xl). - Token-ise the derived consumers `AgentAvatarStack` and `IssueAgentActivityIndicator` (px looked up internally for overlap/+N math). Out of scope (per plan): ui/avatar.tsx primitive, account-tab/AvatarPicker, mobile, and component-name disambiguation. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Co-authored-by: multica-agent <github@multica.ai> * fix(ui): unify all avatars and the upload cropper to round (MUL-4277, MUL-4184) main's avatar-shape decision rendered non-human actors (agent, squad, system) and the workspace logo as rounded squares, and the upload cropper mirrored that with a square crop window. Per the updated decision (avatars_and_cropper_round_required), every avatar and the crop UI are now circular; the square path is removed rather than left as dead config. - Base ActorAvatar: always rounded-full (drop the isHuman/rounded-md split). - avatar-crop-dialog: remove the AvatarCropShape/square path; crop window is always cropShape="round". - avatar-upload-control: drop VARIANT_SHAPE; the control is always round and no longer threads a shape to the dialog (variant still drives the fallback). - Strip rounded-md/rounded-none square overrides from agent/squad/member ActorAvatar call sites; round the read-only agent/squad static wrappers. - WorkspaceAvatar: round the org logo so it matches the (now round) workspace upload/crop and the shared avatar shape. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Co-authored-by: multica-agent <github@multica.ai> * fix(ui): make round avatar shape a hard invariant (MUL-4277) Close the two remaining square squad-avatar paths flagged in review and prevent call sites from re-squaring the avatar: - base ActorAvatar: keep `rounded-full` as the last class in cn() so a call-site `className` can no longer override the circle. - SquadHeaderAvatar: drop `className="rounded"` (was overriding the base circle into a small rounded square). - SquadsPage no-avatar fallback: route through the shared ActorAvatarBase (`isSquad size="lg"`) instead of a hand-written rounded-md tile, so the fallback matches the image path — one shape source of truth. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Co-authored-by: multica-agent <github@multica.ai> * fix(views): round the agent/squad avatar loading skeletons (MUL-4277) The avatar placeholder skeletons on the agent/squad list, detail, and profile-card loading states were still rounded squares (rounded-md/lg) from the pre-round era, so the avatar visibly popped from square to circle on load — inconsistent with the round avatars and with the member/inbox/issue skeletons that already use rounded-full. Round all five: agents-page, agent-detail-page, squads-page, squad-detail-page, squad-profile-card. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Co-authored-by: multica-agent <github@multica.ai> --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> Co-authored-by: multica-agent <github@multica.ai>
874 lines
31 KiB
TypeScript
874 lines
31 KiB
TypeScript
"use client";
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import { useMemo, useState } from "react";
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import { BarChart3, ChevronRight, AlertCircle } from "lucide-react";
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import { useQuery } from "@tanstack/react-query";
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import { Skeleton } from "@multica/ui/components/ui/skeleton";
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import { Button } from "@multica/ui/components/ui/button";
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import { useWorkspaceId } from "@multica/core/hooks";
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import { agentListOptions } from "@multica/core/workspace/queries";
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import type { RuntimeUsage, AgentRuntime } from "@multica/core/types";
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import {
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runtimeUsageOptions,
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runtimeUsageByAgentOptions,
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} from "@multica/core/runtimes/queries";
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import { useCustomPricingStore } from "@multica/core/runtimes/custom-pricing-store";
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import { useViewingTimezone } from "../../common/use-viewing-timezone";
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import {
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formatTokens,
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estimateCost,
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estimateCacheSavings,
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aggregateByDate,
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aggregateByWeek,
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aggregateCostByAgent,
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aggregateCostByModel,
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collectUnmappedModels,
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pctChange,
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sliceWindow,
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type CostByKey,
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} from "../utils";
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import { KpiCard } from "./shared";
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import { ActorAvatar } from "../../common/actor-avatar";
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import {
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DailyCostChart,
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DailyTokensChart,
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WeeklyCostChart,
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WeeklyTokensChart,
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ActivityHeatmap,
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} from "./charts";
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import { CustomPricingDialog } from "./custom-pricing-dialog";
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import { useT } from "../../i18n";
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// Single source of truth for the period selector. KPIs, the When-chart, the
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// Cost-by tabs, and the CSV export all read from the same `days` value so
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// the labels ("· 30D") and the data slice never disagree.
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//
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// `dims` declares which dimensions each range is allowed in. 7 days at the
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// weekly grain is one bar, so 7d is daily-only; 180d is weekly-only because
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// 180 daily bars are visually unreadable.
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const TIME_RANGES = [
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{ label: "7d", days: 7, dims: ["daily"] as const },
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{ label: "30d", days: 30, dims: ["daily", "weekly"] as const },
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{ label: "90d", days: 90, dims: ["daily", "weekly"] as const },
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{ label: "180d", days: 180, dims: ["weekly"] as const },
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] as const;
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type TimeRange = (typeof TIME_RANGES)[number]["days"];
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type WhenTab = "daily" | "weekly" | "heatmap";
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// Default time range per dimension. Switching dimensions resets the period
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// to its default rather than keeping a now-invalid value.
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const DEFAULT_DAYS_BY_DIM: Record<Exclude<WhenTab, "heatmap">, TimeRange> = {
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daily: 30,
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weekly: 90,
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};
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function rangesForDim(dim: Exclude<WhenTab, "heatmap">) {
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return TIME_RANGES.filter((r) =>
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(r.dims as readonly string[]).includes(dim),
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);
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}
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// ---------------------------------------------------------------------------
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// Local segmented control. shadcn's Tabs is wired for full tab pages with
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// keyboard nav and ARIA semantics that a compact toolbar pill doesn't need.
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// Visual: light-grey track + white "raised" active pill.
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// ---------------------------------------------------------------------------
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function Segmented<T extends string | number>({
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value,
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onChange,
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options,
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disabled,
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}: {
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value: T;
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onChange: (v: T) => void;
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options: readonly { label: string; value: T }[];
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disabled?: boolean;
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}) {
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return (
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<div
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className={`inline-flex items-center gap-0.5 rounded-md bg-muted p-0.5 ${
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disabled ? "opacity-50" : ""
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}`}
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>
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{options.map((o) => (
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<button
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key={String(o.value)}
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type="button"
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disabled={disabled}
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onClick={() => onChange(o.value)}
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className={`rounded-sm px-2.5 py-1 text-xs font-medium transition-colors disabled:cursor-not-allowed ${
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o.value === value
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? "bg-background text-foreground shadow-sm"
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: "text-muted-foreground hover:text-foreground"
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}`}
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>
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{o.label}
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</button>
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))}
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</div>
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);
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}
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function fmtMoney(n: number): string {
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if (n >= 100) return `$${n.toFixed(0)}`;
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return `$${n.toFixed(2)}`;
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}
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// ---------------------------------------------------------------------------
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// Top-level orchestrator. Owns the time window, fetches a 180-day usage
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// cache once, slices it into "current" / "prior" windows for delta math,
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// and threads everything into the four visual blocks below.
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//
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// 180 days (vs the older 90) is sized for the Heatmap tab — it shows 26
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// weeks (~6 months) so the long view actually looks long. The 7d/30d/90d
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// period selector slices client-side; the prior-window delta on the Cost
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// KPI also benefits from having extra history available.
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// ---------------------------------------------------------------------------
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export function UsageSection({ runtime }: { runtime: AgentRuntime }) {
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const { t } = useT("runtimes");
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const runtimeId = runtime.id;
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// Reports render in the viewer's timezone — the backend slices the UTC
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// hourly rollup on the same `tz` we pass here, so every frontend window
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// calculation shares one axis with the server.
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const tz = useViewingTimezone();
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const { data: usage = [], isLoading: loading } = useQuery(
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runtimeUsageOptions(runtimeId, 180, tz),
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);
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const [dim, setDim] = useState<Exclude<WhenTab, "heatmap">>("daily");
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const [days, setDays] = useState<TimeRange>(30);
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// Subscribe so the KPI cards (which call estimateCost at render-time, not
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// through a memo) re-evaluate when the user saves a custom rate. The
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// aggregate sub-components (WhenChart, CostByBlock, ActivityHeatmap) each
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// subscribe on their own and pass pricings as a memo dep there.
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useCustomPricingStore((s) => s.pricings);
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if (loading) return <UsageSkeleton />;
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if (usage.length === 0) return <UsageEmpty />;
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// Slice the cached 180-day window into the user's selected sub-window AND
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// the immediately prior window of equal length. The KPI delta ("+18% vs
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// prev") then compares like-for-like ranges instead of "this period vs
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// all of history". Tz-aware so the cutoff lands on the same calendar
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// boundary the backend used when bucketing rows.
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const { filtered, prevFiltered } = sliceWindow(usage, days, tz);
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const allowedRanges = rangesForDim(dim);
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const handleDimChange = (next: Exclude<WhenTab, "heatmap">) => {
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setDim(next);
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const stillAllowed = (rangesForDim(next) as readonly { days: number }[]).some(
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(r) => r.days === days,
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);
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if (!stillAllowed) {
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setDays(DEFAULT_DAYS_BY_DIM[next]);
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}
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};
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const totals = computeTotals(filtered);
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const prevTotals = computeTotals(prevFiltered);
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const tokensTotal =
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totals.input + totals.output + totals.cacheRead + totals.cacheWrite;
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const cacheableTokens = totals.input + totals.cacheRead;
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const cacheHitRate =
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cacheableTokens > 0 ? Math.round((totals.cacheRead / cacheableTokens) * 100) : 0;
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const costDelta = pctChange(totals.cost, prevTotals.cost);
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return (
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<div className="space-y-5">
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{/* Page-wide period selector. Lives at the top because it controls
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basically everything below: the KPI numbers and labels, the
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daily / weekly chart window, and the cost-by aggregations. The
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Heatmap tab is the only sub-view that ignores it (always shows
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26 weeks), and its tab disables this control to telegraph that. */}
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<div className="flex flex-wrap items-center justify-between gap-3">
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<div className="flex items-center gap-3">
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<span className="text-xs uppercase tracking-wider text-muted-foreground">
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{t(($) => $.usage.dimension_label)}
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</span>
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<Segmented
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value={dim}
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onChange={handleDimChange}
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options={
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[
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{ label: t(($) => $.usage.when_tab_daily), value: "daily" },
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{ label: t(($) => $.usage.when_tab_weekly), value: "weekly" },
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] as const
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}
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/>
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</div>
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<div className="flex items-center gap-3">
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<span className="text-xs uppercase tracking-wider text-muted-foreground">
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{t(($) => $.usage.period_label)}
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</span>
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<Segmented
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value={days}
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onChange={setDays}
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options={allowedRanges.map((r) => ({
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label: r.label,
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value: r.days,
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}))}
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/>
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</div>
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</div>
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{/* Pricing-gap banner. Sits above the KPI grid so a *partial* unmapping
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(some priced + some unpriced models in the same window) still has
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a visible entry point into the manual-pricing dialog — otherwise
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the chart would render normally and the unmapped tokens would silently
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contribute $0 to totals. */}
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<UnmappedPricingNotice usage={filtered} />
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<div className="grid grid-cols-3 divide-x rounded-lg border bg-card">
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<KpiCard
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label={t(($) => $.usage.kpi_cost_label, { days })}
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value={fmtMoney(totals.cost)}
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hint={
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costDelta == null ? undefined : (
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<span
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className={
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costDelta > 0
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? "text-warning"
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: costDelta < 0
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? "text-success"
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: ""
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}
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>
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{t(($) => $.usage.kpi_cost_delta, {
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sign: costDelta > 0 ? "+" : "",
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pct: costDelta,
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})}
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</span>
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)
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}
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/>
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<KpiCard
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label={t(($) => $.usage.kpi_cache_label, { days })}
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value={fmtMoney(totals.cacheSavings)}
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accent={totals.cacheSavings > 0 ? "success" : "default"}
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hint={
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<span>
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{t(($) => $.usage.kpi_cache_hint, {
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pct: cacheHitRate,
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reads: formatTokens(totals.cacheRead),
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})}
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</span>
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}
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/>
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<KpiCard
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label={t(($) => $.usage.kpi_tokens_label, { days })}
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value={formatTokens(tokensTotal)}
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hint={
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<span>
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{t(($) => $.usage.kpi_tokens_hint, {
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input: formatTokens(totals.input),
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output: formatTokens(totals.output),
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})}
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</span>
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}
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/>
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</div>
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{/* Layer 2 — WHEN chart. Dimension (Daily / Weekly) is owned by the
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parent so the period selector at the top can react to it. The
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Heatmap is an independent toggle inside this card — it ignores
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the period selector by design (it's a fixed 26-week long-view). */}
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<WhenChart
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usage={usage}
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filtered={filtered}
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days={days}
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dim={dim}
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tz={tz}
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/>
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{/* Layer 3 — WHO/WHAT burned the spend. */}
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<CostByBlock runtimeId={runtimeId} days={days} usage={filtered} tz={tz} />
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{/* Layer 4 — Folded raw view. The Heatmap used to live here too; it
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was promoted into the WHEN chart's toggle, leaving only the
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breakdown table behind. */}
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<FoldedRow usage={filtered} />
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</div>
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);
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}
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// ---------------------------------------------------------------------------
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// WhenChart — answers "WHEN was this runtime spending money?".
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// Dimension (Daily / Weekly) is owned by the parent so the page-level
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// period selector can react to it. Heatmap is an independent view toggled
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// inside this card; it ignores both the dimension and the period selector,
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// always showing the long 26-week view.
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// ---------------------------------------------------------------------------
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type Dim = Exclude<WhenTab, "heatmap">;
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type DailyMetric = "cost" | "tokens";
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function WhenChart({
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usage,
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filtered,
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days,
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dim,
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tz,
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}: {
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usage: RuntimeUsage[];
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filtered: RuntimeUsage[];
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days: TimeRange;
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dim: Dim;
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tz: string;
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}) {
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const { t } = useT("runtimes");
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// Heatmap is the "independent" sibling — toggled here, not part of the
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// page-level dimension segmented (per the RFC).
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const [showHeatmap, setShowHeatmap] = useState(false);
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// Daily and Weekly share a Cost-vs-Tokens metric toggle.
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const [chartMetric, setChartMetric] = useState<DailyMetric>("cost");
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// Memo dep — the aggregates below run `estimateCost`, which now consults
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// the user override store. Without listing pricings here the memos cache
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// pre-override totals when query data hasn't changed.
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const pricings = useCustomPricingStore((s) => s.pricings);
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const { dailyCostStack, dailyTokens } = useMemo(
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() => aggregateByDate(filtered),
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[filtered, pricings],
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);
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// Weekly aggregation builds exactly N trailing calendar weeks anchored at
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// today (in the runtime tz). Buckets are pre-zeroed inside aggregateByWeek
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// so weeks with no usage render as empty bars; rows outside the window are
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// dropped. This avoids the earlier bug where slicing on a sparse 180-day
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// aggregate surfaced old populated weeks instead of in-range empty ones.
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const weekCount = Math.max(1, Math.ceil(days / 7));
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const { weeklyTokens, weeklyCostStack } = useMemo(
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() => aggregateByWeek(usage, tz, weekCount),
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[usage, tz, weekCount, pricings],
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);
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const metricToggleVisible = !showHeatmap;
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const legendIncludesCacheRead = !showHeatmap && chartMetric === "tokens";
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return (
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<div className="rounded-lg border bg-card p-4">
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<div className="mb-3 flex flex-wrap items-center justify-between gap-3">
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<div className="flex flex-wrap items-center gap-3">
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<h4 className="text-sm font-semibold">{t(($) => $.usage.when_title)}</h4>
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{/* Cost / Tokens metric toggle — only meaningful when the chart
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actually has two series-types to switch between. */}
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{metricToggleVisible && (
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<Segmented
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value={chartMetric}
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onChange={setChartMetric}
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options={
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[
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{ label: t(($) => $.usage.daily_metric_cost), value: "cost" },
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{ label: t(($) => $.usage.daily_metric_tokens), value: "tokens" },
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] as const
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}
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/>
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)}
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{/* Heatmap toggle — independent of the page-level dim segmented.
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"On" puts the card into a fixed 26-week long-view that ignores
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the period selector. */}
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<button
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type="button"
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onClick={() => setShowHeatmap((v) => !v)}
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className={`rounded-md border px-2.5 py-1 text-xs font-medium transition-colors ${
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showHeatmap
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? "border-foreground bg-foreground text-background"
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: "border-border text-muted-foreground hover:text-foreground"
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}`}
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aria-pressed={showHeatmap}
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>
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{t(($) => $.usage.when_tab_heatmap)}
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</button>
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</div>
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{!showHeatmap && (
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<ChartLegend includeCacheRead={legendIncludesCacheRead} />
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)}
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</div>
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{showHeatmap && (
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<p className="mb-2 text-center text-xs text-muted-foreground">
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{t(($) => $.usage.heatmap_caption)}
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</p>
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)}
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<div className="min-h-[260px]">
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{showHeatmap ? (
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<ActivityHeatmap usage={usage} tz={tz} />
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) : dim === "daily" ? (
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<DailyTab
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metric={chartMetric}
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costData={dailyCostStack}
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tokensData={dailyTokens}
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usage={filtered}
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/>
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) : (
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<WeeklyTab
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metric={chartMetric}
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costData={weeklyCostStack}
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tokensData={weeklyTokens}
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usage={filtered}
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/>
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)}
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</div>
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</div>
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);
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}
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function DailyTab({
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metric,
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costData,
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tokensData,
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usage,
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}: {
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metric: DailyMetric;
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|
costData: Parameters<typeof DailyCostChart>[0]["data"];
|
|
tokensData: Parameters<typeof DailyTokensChart>[0]["data"];
|
|
usage: RuntimeUsage[];
|
|
}) {
|
|
if (metric === "tokens") {
|
|
// Token chart fires its own empty state: if no tokens were recorded the
|
|
// chart is genuinely empty (independent of pricing — unmapped models
|
|
// still contribute raw token counts).
|
|
const totalTokens = tokensData.reduce(
|
|
(s, d) => s + d.input + d.output + d.cacheRead + d.cacheWrite,
|
|
0,
|
|
);
|
|
if (totalTokens === 0) return <EmptyChartState usage={usage} />;
|
|
return <DailyTokensChart data={tokensData} />;
|
|
}
|
|
const totalCost = costData.reduce((s, d) => s + d.total, 0);
|
|
if (totalCost === 0) return <EmptyChartState usage={usage} />;
|
|
return <DailyCostChart data={costData} />;
|
|
}
|
|
|
|
function WeeklyTab({
|
|
metric,
|
|
costData,
|
|
tokensData,
|
|
usage,
|
|
}: {
|
|
metric: DailyMetric;
|
|
costData: Parameters<typeof WeeklyCostChart>[0]["data"];
|
|
tokensData: Parameters<typeof WeeklyTokensChart>[0]["data"];
|
|
usage: RuntimeUsage[];
|
|
}) {
|
|
if (metric === "tokens") {
|
|
const totalTokens = tokensData.reduce(
|
|
(s, d) => s + d.input + d.output + d.cacheRead + d.cacheWrite,
|
|
0,
|
|
);
|
|
if (totalTokens === 0) return <EmptyChartState usage={usage} />;
|
|
return <WeeklyTokensChart data={tokensData} />;
|
|
}
|
|
const totalCost = costData.reduce((s, d) => s + d.total, 0);
|
|
if (totalCost === 0) return <EmptyChartState usage={usage} />;
|
|
return <WeeklyCostChart data={costData} />;
|
|
}
|
|
|
|
// ---------------------------------------------------------------------------
|
|
// EmptyChartState — drop-in replacement for "the chart would render empty".
|
|
// Two cases worth distinguishing:
|
|
// 1. No tokens at all → "no usage" (genuinely nothing happened).
|
|
// 2. Tokens present but cost is $0 → almost always means the model name
|
|
// reported by the daemon isn't in our pricing table. List the offenders
|
|
// so a developer can update MODEL_PRICING in one go.
|
|
// ---------------------------------------------------------------------------
|
|
|
|
function EmptyChartState({ usage }: { usage: RuntimeUsage[] }) {
|
|
const { t } = useT("runtimes");
|
|
const hasTokens = usage.some(
|
|
(u) =>
|
|
u.input_tokens + u.output_tokens + u.cache_read_tokens + u.cache_write_tokens >
|
|
0,
|
|
);
|
|
const unmapped = collectUnmappedModels(usage);
|
|
|
|
return (
|
|
<div className="flex aspect-[3/1] flex-col items-center justify-center gap-2 rounded-md border border-dashed bg-muted/20 p-6 text-center">
|
|
<BarChart3 className="h-5 w-5 text-muted-foreground/50" />
|
|
{!hasTokens ? (
|
|
<p className="text-xs text-muted-foreground">
|
|
{t(($) => $.usage.empty_no_usage)}
|
|
</p>
|
|
) : unmapped.length > 0 ? (
|
|
// CTA lives in the page-level UnmappedPricingNotice above. Keep the
|
|
// chart-area copy descriptive only so the two surfaces don't bicker.
|
|
<>
|
|
<p className="text-xs text-muted-foreground">
|
|
{t(($) => $.usage.empty_pricing_missing)}
|
|
</p>
|
|
<p className="font-mono text-[11px] text-foreground">
|
|
{unmapped.join(", ")}
|
|
</p>
|
|
<p className="text-[11px] text-muted-foreground/70">
|
|
{t(($) => $.usage.empty_pricing_hint)}
|
|
</p>
|
|
</>
|
|
) : (
|
|
<p className="text-xs text-muted-foreground">
|
|
{t(($) => $.usage.empty_zero_cost)}
|
|
</p>
|
|
)}
|
|
</div>
|
|
);
|
|
}
|
|
|
|
// ---------------------------------------------------------------------------
|
|
// UnmappedPricingNotice — always-visible banner shown above the KPI grid
|
|
// whenever the selected window contains any model that isn't priced. Covers
|
|
// the partial-unmapping case where the chart still renders (so EmptyChartState
|
|
// never fires) but some tokens are silently contributing $0 to totals.
|
|
// ---------------------------------------------------------------------------
|
|
|
|
function UnmappedPricingNotice({ usage }: { usage: RuntimeUsage[] }) {
|
|
const { t } = useT("runtimes");
|
|
const [dialogOpen, setDialogOpen] = useState(false);
|
|
const unmapped = collectUnmappedModels(usage);
|
|
if (unmapped.length === 0) return null;
|
|
|
|
return (
|
|
<div
|
|
role="alert"
|
|
className="flex flex-wrap items-center gap-3 rounded-lg border border-warning/30 bg-warning/10 px-3 py-2 text-xs"
|
|
>
|
|
<AlertCircle className="h-4 w-4 shrink-0 text-warning" />
|
|
<div className="min-w-0 flex-1 space-y-0.5">
|
|
<p className="text-foreground">
|
|
{t(($) => $.usage.unmapped_notice, { count: unmapped.length })}
|
|
</p>
|
|
<p className="truncate font-mono text-[11px] text-muted-foreground">
|
|
{unmapped.join(", ")}
|
|
</p>
|
|
</div>
|
|
<Button
|
|
type="button"
|
|
variant="outline"
|
|
size="sm"
|
|
onClick={() => setDialogOpen(true)}
|
|
>
|
|
{t(($) => $.usage.custom_pricing.open_button)}
|
|
</Button>
|
|
<CustomPricingDialog
|
|
open={dialogOpen}
|
|
onOpenChange={setDialogOpen}
|
|
unmappedModels={unmapped}
|
|
/>
|
|
</div>
|
|
);
|
|
}
|
|
|
|
// ---------------------------------------------------------------------------
|
|
// Chart legend — three coloured dots + labels, rendered in WhenChart's
|
|
// header so the chart body keeps its full vertical real estate.
|
|
// ---------------------------------------------------------------------------
|
|
|
|
function ChartLegend({ includeCacheRead = false }: { includeCacheRead?: boolean }) {
|
|
const { t } = useT("runtimes");
|
|
// Token-stack mode adds a cache-read pip between output and cache-write to
|
|
// match the four-segment stack of DailyTokensChart. The cost chart drops
|
|
// cache-read because at typical pricing it'd be ~0 px tall in the stack.
|
|
const items = [
|
|
{ label: t(($) => $.usage.legend_input), color: "var(--color-chart-1)" },
|
|
{ label: t(($) => $.usage.legend_output), color: "var(--color-chart-2)" },
|
|
...(includeCacheRead
|
|
? [{ label: t(($) => $.usage.legend_cache_read), color: "var(--color-chart-4)" }]
|
|
: []),
|
|
{ label: t(($) => $.usage.legend_cache_write), color: "var(--color-chart-3)" },
|
|
];
|
|
return (
|
|
<div className="flex items-center gap-3 text-xs text-muted-foreground">
|
|
{items.map((it) => (
|
|
<span key={it.label} className="inline-flex items-center gap-1.5">
|
|
<span
|
|
className="h-2 w-2 rounded-sm"
|
|
style={{ background: it.color }}
|
|
/>
|
|
{it.label}
|
|
</span>
|
|
))}
|
|
</div>
|
|
);
|
|
}
|
|
|
|
// ---------------------------------------------------------------------------
|
|
// Cost-by block: two-tab attribution view (by agent / by model).
|
|
// ---------------------------------------------------------------------------
|
|
|
|
function CostByBlock({
|
|
runtimeId,
|
|
days,
|
|
usage,
|
|
tz,
|
|
}: {
|
|
runtimeId: string;
|
|
days: number;
|
|
usage: RuntimeUsage[];
|
|
tz: string;
|
|
}) {
|
|
const { t } = useT("runtimes");
|
|
const [tab, setTab] = useState<"agent" | "model">("agent");
|
|
// Memo dep — same reason as WhenChart: aggregateCostBy{Agent,Model} call
|
|
// estimateCost, which now reads the override store.
|
|
const pricings = useCustomPricingStore((s) => s.pricings);
|
|
|
|
// by-agent is server-side aggregation (fetched lazily on tab activation).
|
|
// by-model derives from the daily cache the parent already has — free.
|
|
const { data: byAgentRows = [] } = useQuery({
|
|
...runtimeUsageByAgentOptions(runtimeId, days, tz),
|
|
enabled: tab === "agent",
|
|
});
|
|
|
|
const wsId = useWorkspaceId();
|
|
const { data: agents = [] } = useQuery(agentListOptions(wsId));
|
|
|
|
const byAgent = useMemo(
|
|
() => aggregateCostByAgent(byAgentRows),
|
|
[byAgentRows, pricings],
|
|
);
|
|
const byModel = useMemo(
|
|
() => aggregateCostByModel(usage),
|
|
[usage, pricings],
|
|
);
|
|
|
|
const caption =
|
|
tab === "agent"
|
|
? t(($) => $.usage.cost_by_caption_agent, { count: byAgent.length })
|
|
: t(($) => $.usage.cost_by_caption_model, { count: byModel.length });
|
|
|
|
return (
|
|
<div>
|
|
<div className="flex flex-wrap items-center justify-between gap-3 border-b pb-3">
|
|
<div className="flex items-center gap-3">
|
|
<h4 className="text-sm font-semibold">
|
|
{tab === "agent"
|
|
? t(($) => $.usage.cost_by_title_agent)
|
|
: t(($) => $.usage.cost_by_title_model)}
|
|
</h4>
|
|
<Segmented
|
|
value={tab}
|
|
onChange={setTab}
|
|
options={
|
|
[
|
|
{ label: t(($) => $.usage.cost_by_tab_agent), value: "agent" },
|
|
{ label: t(($) => $.usage.cost_by_tab_model), value: "model" },
|
|
] as const
|
|
}
|
|
/>
|
|
</div>
|
|
<span className="text-xs text-muted-foreground">{caption}</span>
|
|
</div>
|
|
<div className="pt-4">
|
|
{tab === "agent" && (
|
|
<CostByList
|
|
rows={byAgent}
|
|
renderKey={(key) => {
|
|
const agent = agents.find((a) => a.id === key);
|
|
return (
|
|
<div className="flex min-w-0 items-center gap-2">
|
|
<ActorAvatar actorType="agent" actorId={key} size="md" enableHoverCard />
|
|
<span className="cursor-pointer truncate text-sm font-medium">
|
|
{agent?.name ?? key}
|
|
</span>
|
|
</div>
|
|
);
|
|
}}
|
|
/>
|
|
)}
|
|
{tab === "model" && (
|
|
<CostByList
|
|
rows={byModel}
|
|
renderKey={(key) => (
|
|
<span className="truncate font-mono text-xs text-foreground">
|
|
{key}
|
|
</span>
|
|
)}
|
|
/>
|
|
)}
|
|
</div>
|
|
</div>
|
|
);
|
|
}
|
|
|
|
// Generic horizontal-bar list shared by both Cost-by tabs. Each row scales
|
|
// its bar relative to the heaviest row in the set, so the visual ranking
|
|
// is always 0..max and the biggest spender visually fills the column.
|
|
function CostByList({
|
|
rows,
|
|
renderKey,
|
|
emptyHint,
|
|
}: {
|
|
rows: CostByKey[];
|
|
renderKey: (key: string) => React.ReactNode;
|
|
emptyHint?: string;
|
|
}) {
|
|
const { t } = useT("runtimes");
|
|
if (rows.length === 0) {
|
|
return (
|
|
<p className="py-4 text-center text-xs text-muted-foreground">
|
|
{emptyHint ?? t(($) => $.usage.empty_no_usage)}
|
|
</p>
|
|
);
|
|
}
|
|
const maxCost = rows.reduce((m, r) => Math.max(m, r.cost), 0);
|
|
return (
|
|
<div className="space-y-2">
|
|
{rows.map((row) => {
|
|
const pct = maxCost > 0 ? (row.cost / maxCost) * 100 : 0;
|
|
return (
|
|
<div
|
|
key={row.key}
|
|
className="grid grid-cols-[minmax(0,1fr)_minmax(0,2fr)_5rem_5rem] items-center gap-3 py-1"
|
|
>
|
|
<div className="min-w-0">{renderKey(row.key)}</div>
|
|
<div className="relative h-2 overflow-hidden rounded-full bg-muted">
|
|
<div
|
|
className="h-full rounded-full bg-chart-1"
|
|
style={{ width: `${pct}%` }}
|
|
/>
|
|
</div>
|
|
<div className="text-right text-xs tabular-nums text-muted-foreground">
|
|
{formatTokens(row.tokens)}
|
|
</div>
|
|
<div className="text-right text-sm font-medium tabular-nums">
|
|
${row.cost.toFixed(2)}
|
|
</div>
|
|
</div>
|
|
);
|
|
})}
|
|
</div>
|
|
);
|
|
}
|
|
|
|
// ---------------------------------------------------------------------------
|
|
// Folded row — single chevron-toggle link revealing the raw breakdown
|
|
// table. The Activity heatmap used to live here too; it was promoted to a
|
|
// WhenChart toggle, leaving only the breakdown table behind.
|
|
// ---------------------------------------------------------------------------
|
|
|
|
function FoldedRow({ usage }: { usage: RuntimeUsage[] }) {
|
|
const { t } = useT("runtimes");
|
|
const [open, setOpen] = useState(false);
|
|
return (
|
|
<div className="border-t pt-3">
|
|
<button
|
|
type="button"
|
|
onClick={() => setOpen((v) => !v)}
|
|
className="inline-flex items-center gap-1 text-xs text-muted-foreground transition-colors hover:text-foreground"
|
|
>
|
|
<ChevronRight
|
|
className={`h-3 w-3 transition-transform ${open ? "rotate-90" : ""}`}
|
|
/>
|
|
{t(($) => $.usage.daily_breakdown_toggle)}
|
|
</button>
|
|
{open && (
|
|
<div className="mt-3 rounded-md border p-4">
|
|
<DailyBreakdownTable usage={usage} />
|
|
</div>
|
|
)}
|
|
</div>
|
|
);
|
|
}
|
|
|
|
function DailyBreakdownTable({ usage }: { usage: RuntimeUsage[] }) {
|
|
const { t } = useT("runtimes");
|
|
const byDate = new Map<string, RuntimeUsage[]>();
|
|
for (const u of usage) {
|
|
const existing = byDate.get(u.date) ?? [];
|
|
existing.push(u);
|
|
byDate.set(u.date, existing);
|
|
}
|
|
return (
|
|
<div className="rounded-lg border">
|
|
<div className="grid grid-cols-[100px_1fr_80px_80px_80px_80px] gap-2 border-b px-3 py-2 text-xs font-medium text-muted-foreground">
|
|
<div>{t(($) => $.usage.table_date)}</div>
|
|
<div>{t(($) => $.usage.table_model)}</div>
|
|
<div className="text-right">{t(($) => $.usage.table_input)}</div>
|
|
<div className="text-right">{t(($) => $.usage.table_output)}</div>
|
|
<div className="text-right">{t(($) => $.usage.table_cache_r)}</div>
|
|
<div className="text-right">{t(($) => $.usage.table_cache_w)}</div>
|
|
</div>
|
|
<div className="max-h-64 overflow-y-auto divide-y">
|
|
{[...byDate.entries()].map(([date, rows]) =>
|
|
rows.map((row, i) => (
|
|
<div
|
|
key={`${date}-${row.model}-${i}`}
|
|
className="grid grid-cols-[100px_1fr_80px_80px_80px_80px] gap-2 px-3 py-1.5 text-xs"
|
|
>
|
|
<div className="text-muted-foreground">{date}</div>
|
|
<div className="truncate font-mono">{row.model}</div>
|
|
<div className="text-right tabular-nums">
|
|
{formatTokens(row.input_tokens)}
|
|
</div>
|
|
<div className="text-right tabular-nums">
|
|
{formatTokens(row.output_tokens)}
|
|
</div>
|
|
<div className="text-right tabular-nums">
|
|
{formatTokens(row.cache_read_tokens)}
|
|
</div>
|
|
<div className="text-right tabular-nums">
|
|
{formatTokens(row.cache_write_tokens)}
|
|
</div>
|
|
</div>
|
|
)),
|
|
)}
|
|
</div>
|
|
</div>
|
|
);
|
|
}
|
|
|
|
// ---------------------------------------------------------------------------
|
|
// Loading + empty states
|
|
// ---------------------------------------------------------------------------
|
|
|
|
function UsageSkeleton() {
|
|
return (
|
|
<div className="space-y-5">
|
|
<Skeleton className="h-28 rounded-lg" />
|
|
<Skeleton className="h-56 rounded-lg" />
|
|
<Skeleton className="h-32" />
|
|
</div>
|
|
);
|
|
}
|
|
|
|
function UsageEmpty() {
|
|
const { t } = useT("runtimes");
|
|
return (
|
|
<div className="flex flex-col items-center rounded-lg border border-dashed py-8">
|
|
<BarChart3 className="h-5 w-5 text-muted-foreground/40" />
|
|
<p className="mt-2 text-xs text-muted-foreground">
|
|
{t(($) => $.usage.no_data)}
|
|
</p>
|
|
</div>
|
|
);
|
|
}
|
|
|
|
// ---------------------------------------------------------------------------
|
|
// Helpers
|
|
// ---------------------------------------------------------------------------
|
|
|
|
interface UsageTotals {
|
|
input: number;
|
|
output: number;
|
|
cacheRead: number;
|
|
cacheWrite: number;
|
|
cost: number;
|
|
cacheSavings: number;
|
|
}
|
|
|
|
function computeTotals(rows: RuntimeUsage[]): UsageTotals {
|
|
return rows.reduce<UsageTotals>(
|
|
(acc, u) => ({
|
|
input: acc.input + u.input_tokens,
|
|
output: acc.output + u.output_tokens,
|
|
cacheRead: acc.cacheRead + u.cache_read_tokens,
|
|
cacheWrite: acc.cacheWrite + u.cache_write_tokens,
|
|
cost: acc.cost + estimateCost(u),
|
|
cacheSavings: acc.cacheSavings + estimateCacheSavings(u),
|
|
}),
|
|
{ input: 0, output: 0, cacheRead: 0, cacheWrite: 0, cost: 0, cacheSavings: 0 },
|
|
);
|
|
}
|
|
|