Files
learnharness/scripts/import-notes.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

70 lines
2.9 KiB
TypeScript

/**
* Import raw notes files through the format-agnostic front door (vision §1,
* 2026-09-13) — every *.md / *.txt file in a directory becomes one
* extraction run (extractor → auditor → merger) over its raw text. Run
* from this worktree only — data never crosses trees:
*
* npx tsx --env-file=.env.local scripts/import-notes.ts <dir> [concurrency]
*
* Default dir: real-data-extraction/learn-sessions (the prototype
* learning-session exports — deliberately NOT imported as chats: they run
* through the notes path, raw). Runs in this process: the dev server's
* status chips do NOT see them (registry is per-process) — the dev server
* sees runs triggered through /api/graph/import.
*/
import * as fs from "node:fs";
import * as path from "node:path";
import { createExtractionPipeline } from "../src/agent/subagents/extraction.ts";
import { embedNewNodes } from "../src/server/embeddings.ts";
import { clusterNamingSettled } from "../src/agent/subagents/cluster-namer.ts";
import { getGraph } from "../src/core/graph.ts";
import { stores } from "../src/server/stores.ts";
async function main() {
const dir = process.argv[2] ?? "real-data-extraction/learn-sessions";
const limit = Number(process.argv[3] ?? 4);
const files = fs
.readdirSync(dir)
.filter((f) => f.endsWith(".md") || f.endsWith(".markdown") || f.endsWith(".txt"))
.sort();
console.log(`[import-notes] ${files.length} note files from ${dir} (concurrency ${limit})`);
const pipeline = createExtractionPipeline({ ...stores, embedder: embedNewNodes });
const queue = [...files];
const totals = { nodes: 0, edges: 0, events: 0, failed: 0 };
const workers = Array.from({ length: Math.min(limit, files.length) }, async () => {
for (;;) {
const file = queue.shift();
if (!file) return;
const filePath = path.join(dir, file);
const t0 = Date.now();
try {
const stats = await pipeline.importNotes({ filePath, text: fs.readFileSync(filePath, "utf-8") });
totals.nodes += stats.nodes;
totals.edges += stats.edges;
totals.events += stats.events;
console.log(
`[import-notes] ${file}: ${stats.nodes} nodes, ${stats.edges} edges, ${stats.events} events in ${((Date.now() - t0) / 1000).toFixed(1)}s`,
);
} catch (err) {
totals.failed++;
console.error(`[import-notes] ${file} FAILED:`, err);
}
}
});
await Promise.all(workers);
// The post-merge cluster naming is fire-and-forget inside the pipeline;
// settle it before the process exits so labels actually land.
await clusterNamingSettled();
const graph = getGraph(stores.graphStore);
const labels = stores.graphStore.readClusterLabels().length;
console.log(
`[import-notes] done: +${totals.nodes} nodes, +${totals.edges} edges, +${totals.events} events, ${totals.failed} failed — ` +
`graph now ${graph.nodes.length} nodes, ${graph.edges.length} edges, ${graph.events.length} events, ` +
`${labels} named clusters`,
);
}
main();