"use client"; import { useEffect, useMemo, useState } from "react"; import { getJSON, type Experiments, type GridRow, type PerQuery, type View } from "@/lib/api"; import { bytes, fmtTs, pct } from "@/lib/format"; import { VIEW_INFO, VIEW_ORDER } from "@/lib/views"; import { ClipPlayer, type ClipRef } from "@/components/ClipPlayer"; import { Segmented, ViewSwatch } from "@/components/Controls"; import { Heatmap } from "@/components/charts/Heatmap"; import { MetricByDimChart, type Point } from "@/components/charts/MetricByDimChart"; const METRICS = ["recall@1", "recall@5", "recall@10", "mrr@10", "neighbor_recall@5", "video_hit@1"] as const; type Metric = (typeof METRICS)[number]; const METRIC_HELP: Record = { "recall@1": "Exact source segment ranked first", "recall@5": "Exact source segment in the top 5", "recall@10": "Exact source segment in the top 10", "mrr@10": "Mean reciprocal rank of the source segment (0 if outside top 10)", "neighbor_recall@5": "Source segment or an adjacent one (±30s) in the top 5", "video_hit@1": "Top result comes from the right video", }; const QTYPES = ["all", "spoken", "visual"] as const; type QType = (typeof QTYPES)[number]; function Tile({ label, value, sub }: { label: string; value: string; sub?: string }) { return (
{label}
{value}
{sub &&
{sub}
}
); } function rankCell(rank: number | undefined) { if (rank == null) return ; const good = rank === 1 ? "bg-[#1c5cab] text-white" : rank <= 5 ? "bg-[#104281] text-white" : rank <= 10 ? "bg-surface-2 text-ink-2" : "text-muted"; return {rank > 99 ? "99+" : rank}; } export function ExperimentsView() { const [data, setData] = useState(null); const [error, setError] = useState(null); const [metric, setMetric] = useState("recall@5"); const [qtype, setQtype] = useState("all"); const [heatMode, setHeatMode] = useState<"absolute" | "retained">("absolute"); const [hoverView, setHoverView] = useState(null); const [tableDim, setTableDim] = useState(768); const [filter, setFilter] = useState(""); const [clip, setClip] = useState(null); const [transcripts, setTranscripts] = useState(null); useEffect(() => { getJSON(`/api/experiments${transcripts ? `?transcripts=${transcripts}` : ""}`) .then(setData) .catch((e) => setError(String(e))); }, [transcripts]); const views = useMemo(() => VIEW_ORDER.filter((v) => data?.views.includes(v)), [data]); const dimsAsc = useMemo(() => [...(data?.dims ?? [])].sort((a, b) => a - b), [data]); const cell = useMemo(() => { const m = new Map(); data?.grid.forEach((g) => m.set(`${g.view}|${g.dim}|${g.query_type}`, g)); return (view: View, dim: number) => m.get(`${view}|${dim}|${qtype}`); }, [data, qtype]); if (error) return

{error}

; if (!data) return

Loading…

; const points: Point[] = dimsAsc.map((d) => ({ dim: d, ...Object.fromEntries(views.map((v) => [v, cell(v, d)?.[metric] ?? 0])) })); const best = data.grid.filter((g) => g.query_type === qtype).sort((a, b) => b[metric] - a[metric])[0]; const best768 = (v: View) => cell(v, 768)?.[metric] ?? 0; const fused256 = cell("fused", 256)?.[metric]; const fused768 = best768("fused"); const bestView = views.reduce((a, v) => (best768(v) > best768(a) ? v : a), views[0]); const queries = data.per_query.filter( (q) => (qtype === "all" || q.type === qtype) && (!filter || q.query.toLowerCase().includes(filter.toLowerCase())), ); return (

Experiments

{data.model} · {data.num_queries} queries across {data.num_segments} segments. Historical results retain their original model labels. Synthetic fixtures illustrate the interface and are not measured retrieval quality. Run {new Date(data.created_at).toLocaleString()}.

{/* Filters: one row, scope everything below */}
{data.variants && data.variants.length > 1 && data.transcripts && ( (e === "gemma" ? "Gemma 4" : e === "whisper" ? "Whisper" : e)} /> )} {METRIC_HELP[metric]}

{metric} by Matryoshka dimension · {qtype} queries

{/* Legend (always present for >1 series); hover a key to emphasise its line. */}
{views.map((v) => ( ))}

{heatMode === "absolute" ? metric : `% of 768d ${metric} retained`}{" "} · {qtype} queries

{ const x = cell(v, d)?.[metric]; if (x == null) return undefined; if (heatMode === "absolute") return x; const base = cell(v, 768)?.[metric]; return base ? x / base : undefined; }} format={(x) => (heatMode === "absolute" ? x.toFixed(3) : pct(x))} />

Storage (float32)

{data.storage.map((s) => ( ))}
Dims Per vector Per view All views
{s.dim}d {s.dim === 768 ? "" : `÷${(768 / s.dim).toFixed(1)}`} {bytes(s.bytes_per_vector)} {bytes(s.bytes_per_view)} {bytes(s.bytes_all_views)}

Tiny at this corpus size; the ratios are what matter at scale. Model card: ~lossless to 256d, 128d drops sharply for multimodal inputs.

Per-query ranks

`${d}d`} /> setFilter(e.target.value)} placeholder="Filter queries…" className="ml-auto w-64 rounded-lg border border-line bg-page px-3 py-1.5 text-sm outline-none focus:border-accent" />

Rank of the source segment for each view (1 = perfect). Click a row to play the source segment.

{views.map((v) => ( ))} {queries.map((q: PerQuery, i) => ( q.segment && setClip({ ...q.segment, text: q.evidence ? `On screen: ${q.evidence}` : undefined })} className="cursor-pointer hover:bg-surface-2" > {views.map((v) => ( ))} ))}
Query Type {VIEW_INFO[v].label}
{q.query}
{q.segment && (
{q.segment.title} @ {fmtTs(q.segment.start)}
)}
{q.type}
setClip(null)} />
); } function RankTd({ rank }: { rank?: number }) { return rankCell(rank); }