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LLeMbas-CLI/src/tui/components/spinner.tsx
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TypeScript

import { createSignal, For, onCleanup } from "solid-js"
import { duration } from "../../duration.ts"
import { progressLine } from "../../session/progress.ts"
import { useTui } from "../context.ts"
import { fmtTokens } from "./status.tsx"
/** "reading the prompt 64% · 90k of 140k · ~2m left": the server's own count (llama.cpp's
* return_progress). The time left is guessed from the reading so far, once there is enough of it;
* a long prompt reads slower towards its end, so it is a floor more than a promise. */
/** How long the rest of the prompt will take, from the server's pace so far; "" until it is known. */
export function etaOf(p: { total: number; done: number; processed: number; ms: number }): string {
if (p.processed >= 2048 && p.ms >= 2000 && p.done < p.total) return `~${duration(((p.total - p.done) / p.processed) * p.ms, true)} left`
return ""
}
export function reading(p: { total: number; done: number; processed: number; ms: number }): string {
const pct = Math.floor((p.done / p.total) * 100)
const parts = [`reading the prompt ${pct}%`, `${fmtTokens(p.done)} of ${fmtTokens(p.total)}`]
if (p.processed >= 2048 && p.ms >= 2000 && p.done < p.total) {
const left = ((p.total - p.done) / p.processed) * p.ms
parts.push(`~${duration(left, true)} left`)
}
return parts.join(" · ")
}
// The working line: a braille frame, what is going on (a verb while it thinks), and the whole
// task's time and output tokens — from the prompt until the last reply of the task, subagents
// included.
export function Spinner() {
const { theme, view } = useTui()
const [tick, setTick] = createSignal(0)
const t = setInterval(() => setTick((n) => n + 1), 100)
onCleanup(() => clearInterval(t))
const sp = () => theme().spinner
const pick = (list: string[], every: number) => list[Math.floor(tick() / every) % list.length] ?? ""
const elapsed = () => (tick(), view.state.busySince ? duration(Date.now() - view.state.busySince, true) : "0s")
const tokens = () => {
tick()
const { n, estimated } = view.taskTokens()
return `${estimated ? "~" : ""}${fmtTokens(n)} token${n === 1 ? "" : "s"}`
}
const what = () => {
const s = view.state
// Spec 3.4.0: the phase the engine says, drawn as every client draws it (progress.md §3).
if (s.now) {
tick()
// The CLI's own look around the shared line: how long the rest of the prompt will take.
// The server's counts as they come (the phase event is paced for the link; the screen is not).
const reading = s.now.phase === "reading_prompt" && s.progress
const now = reading ? { ...s.now, done: s.progress!.done, total: s.progress!.total } : s.now
const eta = reading ? etaOf(s.progress!) : ""
return `${progressLine(now)}${eta ? ` · ${eta}` : ""}`
}
if (s.preparing) return `preparing ${s.preparing}`
if (s.phase === "waiting" && s.progress) return reading(s.progress)
if (s.phase === "thinking") return pick(sp().verbs, 30)
if (s.phase === "tools") return "running tools"
if (s.phase === "writing") return "writing"
return "waiting for the model"
}
return (
<box paddingLeft={1} height={1}>
<text wrapMode="none" truncate>
<span style={{ fg: theme().colors.accent }}>{pick(sp().frames, 1)} </span>
<span style={{ fg: theme().colors.muted }}>{what()}{view.state.now ? " · " : "… "}</span>
<span style={{ fg: theme().colors.dim }}>
{view.state.now ? `turn ${elapsed()}` : elapsed()} · {tokens()} · esc to stop
</span>
</text>
</box>
)
}
/** Messages sent while the agent works and not given to it yet — one line each, above the input,
* until the next step takes them (or the task ends, in queue mode). */
export function Queued() {
const { theme, view } = useTui()
const when = () => (view.state.queued.mode === "queue" ? "after this task" : "at the next step")
return (
<For each={view.state.queued.texts}>
{(text) => (
<box paddingLeft={1} height={1}>
<text wrapMode="none" truncate>
<span style={{ fg: theme().colors.accent }}>↳ queued </span>
<span style={{ fg: theme().colors.text }}>{text.split("\n")[0]}</span>
<span style={{ fg: theme().colors.dim }}> · {when()}</span>
</text>
</box>
)}
</For>
)
}