amosblomqvist
f5edc7f0a5
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).
38 lines
1.5 KiB
TypeScript
38 lines
1.5 KiB
TypeScript
/**
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* One-time backfill: wipe the legacy ledgers and re-extract every chat with
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* the redesigned pipeline (vision §1, commit b07c907). Run from the master
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* tree only — data never crosses trees:
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*
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* npx tsx --env-file=.env.local scripts/backfill-graph.ts
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*/
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import { chatStore } from "../src/store/chats.ts";
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import { graphStore } from "../src/store/graph.ts";
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import { createExtractionPipeline } from "../src/agent/subagents/extraction.ts";
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import { embedNewNodes } from "../src/server/embeddings.ts";
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import { getGraph } from "../src/core/graph.ts";
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async function main() {
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const only = process.argv[2]; // optional: extract just one chat id
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const chats = only ? chatStore.listChats().filter((c) => c.id === only) : chatStore.listChats();
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console.log(`[backfill] ${chats.length} chats to extract`);
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const pipeline = createExtractionPipeline({ chatStore, graphStore, embedder: embedNewNodes });
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for (const chat of chats) {
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const t0 = Date.now();
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try {
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const stats = await pipeline.runExtraction(chat.id);
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console.log(
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`[backfill] ${chat.id} (${chat.title.slice(0, 40)}): ` +
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`${stats.nodes} nodes, ${stats.edges} edges, ${stats.events} events in ${((Date.now() - t0) / 1000).toFixed(1)}s`,
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);
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} catch (err) {
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console.error(`[backfill] ${chat.id} FAILED:`, err);
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}
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}
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const graph = getGraph(graphStore);
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console.log(
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`[backfill] done: ${graph.nodes.length} nodes, ${graph.edges.length} edges, ${graph.events.length} events`,
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);
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}
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main();
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