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zeekay
1b367e2b62
The tree was a debranded snapshot of upstream taken around 2026-02-20, and upstream has moved about five months since. This replaces it with upstream master, mechanically re-derived: bin/debrand does the rename, and the pipeline and squashed migrations are restored from the shipped tree. Not a merge. The previous import replaced the tree wholesale in a single commit, so there is no shared content history to merge against. Reproducing the rename on the new tree is what actually converges. What survives: .hanzo/workflows, the Dockerfiles and bin/docker* entrypoints, compose files, LLM.md, and insights/migrations. The squashed initial migration is load-bearing — the live database records it by name, so upstream's ~918 individual migrations cannot come back. Nine products are dropped as unreferenced. Twenty-one more that we do not run are kept anyway because the core app still imports them; unpicking those is a refactor and does not belong in a rebase. This base does not build yet, and the reasons are not in the rename: upstream now wants Python 3.13.13 against our 3.12.12 and Django 5.2 against our 4.2, and the dependency manifests still name upstream packages that we republish under our own names. Those are decisions, not renames.
42 lines
1.6 KiB
TypeScript
42 lines
1.6 KiB
TypeScript
import { SessionTurn } from './extractSessionTurns'
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// Idle gaps between turns are compressed so playback stays watchable; the
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// per-turn "think" windows are floored (always visible) and capped.
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export const IDLE_CAP_MS = 3000
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const MIN_THINK_MS = 600
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const THINK_CAP_MS = 12000
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const MIN_USER_THINK_MS = 600
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export interface SessionTimelineData {
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turnRevealsMs: number[] // turn appears; the user starts composing
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turnStartsMs: number[] // the user's request lands
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turnResponsesMs: number[] // the assistant's response lands
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durationMs: number
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}
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export function buildSessionTimeline(turns: SessionTurn[]): SessionTimelineData {
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if (!turns.length) {
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return { turnRevealsMs: [], turnStartsMs: [], turnResponsesMs: [], durationMs: 0 }
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}
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const rawStarts = turns.map((t) => new Date(t.trace.createdAt).getTime())
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const latencies = turns.map((t) => Math.round((t.trace.totalLatency ?? 0) * 1000))
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const turnRevealsMs: number[] = []
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const turnStartsMs: number[] = []
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const turnResponsesMs: number[] = []
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let cursor = 0
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turns.forEach((_, i) => {
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const rawIdle = i > 0 ? Math.max(rawStarts[i] - (rawStarts[i - 1] + latencies[i - 1]), 0) : 0
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const userThinkMs = Math.min(Math.max(rawIdle, MIN_USER_THINK_MS), IDLE_CAP_MS)
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turnRevealsMs.push(cursor)
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cursor += userThinkMs
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turnStartsMs.push(cursor)
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const thinkMs = Math.min(Math.max(latencies[i], MIN_THINK_MS), THINK_CAP_MS)
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cursor += thinkMs
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turnResponsesMs.push(cursor)
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})
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return { turnRevealsMs, turnStartsMs, turnResponsesMs, durationMs: cursor }
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}
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