Files
learnharness/scripts/replay-layout.ts
T
amosblomqvist f5edc7f0a5 Semantic topic clusters: local embeddings replace Louvain
Louvain only ever found the reasoning chains (the graph is disconnected
by nature — every connected component became its own cluster) and
edge-orphans could never join anything. Clusters are now RELATED TOPICS:
propositions grouped by meaning.

- Embedder (src/server/embeddings.ts): in-process transformers.js v4
  running EmbeddingGemma-300M q8 (MTEB 68.4, ~300MB one-time download),
  MRL-truncated to 512d, "title: none | text:" prefix on 100% of inputs,
  L2-normalized so cosine = dot. Model/dim mismatch voids the ledger
  (full re-embed). Injected at the composition root — the agent layer
  never imports the server layer (architecture law).
- Ledger (data/graph/embeddings.json): model + dim + vectors + the
  persisted cluster partition. Reclustering runs at the END of every
  embedding batch (post-merge hook, both front doors) — never per read
  (the agglomerative pass is ~1.5s at 338 nodes).
- Clustering (src/core/semantic-clusters.ts): hand-rolled average-linkage
  agglomerative over cosine (npm HDBSCAN is an abandoned alpha). Stragglers
  stay singletons by default; attachStragglers is the all-in toggle.
  Threshold 0.60 swept on the real graph: 26 topics, 74/90 edge-orphans
  land in real topics, 10 stragglers.
- Consumers (snapshot, settle, namer, replay) read the persisted
  partition — one cluster concept everywhere; core-survival label
  matching unchanged (20/26 topics kept labels).
- Louvain retired: detectCommunities + graphology* deps deleted
  (graphology-louvain had leaked into the client bundle since the
  clusters wave); scripts/bench-graph.ts (dead FA2 bench) removed.
- scripts/embed-graph.ts: backfill/cold-start (338 nodes in 150s
  including the one-time model download).
2026-09-13 14:29:16 +03:00

125 lines
5.0 KiB
TypeScript

/**
* Option A simulation: replay the CURRENT graph through the incremental
* layout as if it had arrived one imported-notes file at a time — the
* organic growth path the user described (one dependency structure /
* cluster at a time, orphans collecting on the rim).
*
* Reads ONLY the ledgers (nodes / edges / mappings / sources); writes ONLY
* data/graph/positions.json — no LLM calls, no extraction, no chat records.
*
* npx tsx scripts/replay-layout.ts [--depth=vertical|radial]
*
* --depth regenerates the ledger WITH inference-depth anchoring (the
* playground mode baked into the rest state); omit it for the free layout.
*/
import { graphStore } from "../src/store/graph.ts";
// --depth=vertical|radial: bake the playground depth mode into the ledger.
const depthArg = process.argv.find((a) => a.startsWith("--depth="));
const depthMode: "off" | "vertical" | "radial" =
depthArg === "--depth=vertical" ? "vertical" : depthArg === "--depth=radial" ? "radial" : "off";
import { incrementalLayout } from "../src/core/layout.ts";
import type { GraphNode, NodeMapping, Position } from "../src/core/contracts.ts";
function main() {
const t0 = Date.now();
// Unique nodes (lines may repeat an id — first defines).
const seen = new Set<string>();
const nodes: GraphNode[] = [];
for (const line of graphStore.readNodes()) {
if (seen.has(line.id)) continue;
seen.add(line.id);
nodes.push(line);
}
const edges = graphStore.readEdges();
// The semantic-topic source: the embedding ledger (run
// scripts/embed-graph.ts first if missing/stale).
const embeddings = graphStore.readEmbeddings();
if (Object.keys(embeddings.vectors).length === 0) {
console.warn("[replay] embedding ledger is empty — clusters will be absent (run scripts/embed-graph.ts)");
}
// Batches: each imported file, in real import order (sources.json
// importedAt). A node belongs to the file whose mapping first claims it
// (mapping line order = arrival); nodes no mapping covers (legacy) ride
// the final batch.
const sources = [...graphStore.readSources()].sort((a, b) => a.importedAt.localeCompare(b.importedAt));
const mappings: NodeMapping[] = graphStore.readMappings();
const batchOf = new Map<string, string>(); // nodeId → srcId
for (const m of mappings) {
if (!batchOf.has(m.graphNodeId)) batchOf.set(m.graphNodeId, m.chatId);
}
const delivered = new Set<string>();
let positions = new Map<string, Position>(Object.entries(graphStore.readPositions()));
if (positions.size > 0) {
console.log("[replay] discarding existing positions ledger — full replay from empty");
positions = new Map();
}
const byId = new Map(nodes.map((n) => [n.id, n]));
const unmappedFallback = sources[sources.length - 1]?.id ?? "";
console.log(`[replay] ${nodes.length} unique nodes, ${edges.length} edge lines, ${sources.length} sources`);
let maxOldShift = 0;
let shiftReport = "";
for (const source of sources) {
const batch = nodes.filter((n) => batchOf.get(n.id) === source.id);
const isLast = source.id === sources[sources.length - 1]!.id;
if (isLast) {
// Sweep in any never-mapped nodes with the last batch.
for (const n of nodes) {
if (!batchOf.has(n.id) && !delivered.has(n.id)) {
batch.push(n);
batchOf.set(n.id, unmappedFallback);
}
}
}
for (const n of batch) delivered.add(n.id);
// Edges activate once BOTH endpoints exist (a later file can claim
// one endpoint — the edge lights up then).
const activeEdges = edges.filter((e) => delivered.has(e.from) && delivered.has(e.to));
const before = new Map(positions);
const batchNodes = nodes.filter((n) => delivered.has(n.id));
positions = incrementalLayout(batchNodes, activeEdges, positions, {
// The same partition the real settle would see for this batch:
// the persisted semantic topics, filtered to delivered nodes
// (never recomputed — the agglomerative pass is ~1.5s at scale).
clusters: embeddings.clusters
.map((c) => ({ members: c.members.filter((id) => delivered.has(id)) }))
.filter((c) => c.members.length > 0),
...(depthMode === "off"
? {}
: {
depthAnchor: {
mode: depthMode,
strength: 0.8,
spacing: 60,
...(depthMode === "radial" ? { baseRadius: 220 } : {}),
},
}),
});
for (const [id, prev] of before) {
const now = positions.get(id)!;
const shift = Math.hypot(prev.x - now.x, prev.y - now.y);
if (shift > maxOldShift) {
maxOldShift = shift;
shiftReport = `${id} ${prev.x.toFixed(0)},${prev.y.toFixed(0)} -> ${now.x.toFixed(0)},${now.y.toFixed(0)} (batch ${batch.length} new, ${activeEdges.length} edges)`;
}
}
const label = source.filePath.split("/").pop() ?? source.id;
console.log(
`[replay] +${String(batch.length).padStart(3)} nodes ${String(activeEdges.length).padStart(4)} edges active (${label})`,
);
}
graphStore.writePositions(Object.fromEntries(positions));
console.log(
`[replay] done: ${positions.size} positions written in ${((Date.now() - t0) / 1000).toFixed(1)}s` +
` (max old-node shift within a batch: ${maxOldShift.toFixed(1)}: ${shiftReport})`,
);
}
main();