Files
learnharness/src/core/graph.ts
T
Amos af90fadcda Extraction pipeline: extractor → auditor → merger — the sole graph writer (stage 5)
The knowledge graph's write channel is now the pivot's target
architecture (vision §1 construction):

- src/agent/subagents/extraction.ts — the pipeline factory
  (createExtractionPipeline({ chatStore, graphStore, extractor?,
  auditor? }); models env LH_EXTRACT_MODEL ?? LH_MODEL):
  * transcriptView(): the compact view both LLM stages see — final plan
    tree with node ids, conversation verbatim, QUIZ lines with outcomes,
    mark_done lines; job tool parts are one-liners, plan ops fold into
    the tree line.
  * Extractor: transcript → SessionFindings (propositions incl.
    misconceptions and prose-only supports edges, attribution for
    UNTAGGED probes, all with verbatim evidence) via one zod-validated
    submit_findings call.
  * Auditor: transcript + findings → the verified subset + drops (the
    faithfulness net) via submit_review.
- src/core/graph.ts — emitChat/foldStaleChats/replayFinalTree retire;
  mergeFindings() replaces them as the pipeline's deterministic apply
  stage: exact/alias identity resolution (one mapping line per (chat,
  graph node)), edge dedupe, and event rebuild FROM THE TRANSCRIPT's tool
  parts — kinds/timestamps/refs/notes deterministic, the LLM's only event
  say being WHICH proposition an untagged probe tested (retroactive —
  the vision's open question #3, resolved structurally: tagged events
  resolve deterministically; attribution rescues untagged and
  tagged-but-unmapped ones; unattributable land null + question text).
  pendingQuizAnswers() is the trigger helper.
- Trigger (turn-service.ts triggerExtraction, replacing the old
  foldTurnIntoGraph body): once a chat accumulates
  EXTRACTION.everyNQuizAnswers (LH_EXTRACT_N, default 3) new answered
  quizzes, fire the pipeline async — single-flight per chat, failure
  checkpoints nothing and re-runs on the next trigger. Deliberately a v1
  placeholder isolated in ONE seam, trigger-agnostic pipeline.
- GET /api/graph is now a pure read (foldStaleChats gone).
- NodeMapping.treeNodeId → sourceId (the mapping key is now the writer's
  local proposition id — tree node when tree-derived); store strict-read
  schema updated. Local ledger data regenerates through the pipeline.
- Tests: graph.test.ts rewritten around mergeFindings (identity,
  attribution paths incl. ghost-rescue, idempotency, cross-session
  provenance, trigger counting), graph-context.test.ts merge section
  converted to findings-driven, NEW extraction.test.ts — transcriptView
  units + the full pipeline with mock models (audit drops, failure
  checkpoints nothing, single-flight). 195/195, tsc/eslint/build clean.

Probe attribution (vision open question): probes attach retroactively by
the extractor against the whole transcript; a pre-tree probe maps to a
proposition the tree only articulates later. Fuzzy/embedding merge
adjudication stays deferred (conservative exact/alias only).
2026-08-31 22:36:41 +03:00

453 lines
17 KiB
TypeScript

/**
* The knowledge graph: merger (the deterministic final stage of the
* extraction pipeline — vision §1 construction) + derivation (reads).
*
* The extraction pipeline is the SOLE graph writer:
*
* extractor (LLM) → SessionFindings: propositions, edges, and event
* attribution, each with verbatim evidence
* auditor (LLM) → the verified subset (unbacked candidates dropped)
* merger (HERE) → mergeFindings(): deterministic ledger appends
*
* The merger is deliberately the ONLY stage that touches the ledgers, and it
* is pure code: the LLM supplies exactly the judgment calls (what was
* taught, what depends on what, which proposition a quiz tested), while
* event kinds/timestamps/refs — anything the model could silently
* mis-copy — are rebuilt deterministically from the transcript's tool
* parts. Idempotent + incremental: statement/alias matching dedupes nodes,
* (from,to,type) dedupes edge assertions, chat-scoped refs dedupe events,
* one mapping line per (chat, graph node), and sessions.jsonl checkpoints
* which chats have been extracted (never the same turns twice).
*
* Derivation below (getGraph / deriveNodeStates / graphSnapshot) is reads
* only — everything is recomputed from the ledgers. Every function takes
* the storage ports (core/ports.ts) as explicit parameters — pure core, no
* adapter imports; the composition root (src/server/stores.ts) wires the fs
* adapters in.
*/
import { randomBytes } from "node:crypto";
import { isToolUIPart, type UIMessage } from "ai";
import type {
GraphEdge,
GraphNode,
GraphSnapshot,
LedgerEvent,
LedgerEventKind,
NodeStateClass,
PlanToolResult,
SessionFindings,
} from "./contracts.ts";
import type { QuestionAnswerData } from "./question-core.ts";
import type { ChatStore, GraphStore } from "./ports.ts";
/** The storage ports every graph operation needs, passed explicitly. */
export interface GraphDeps {
chatStore: ChatStore;
graphStore: GraphStore;
}
/** "n_" + 12 hex chars (contracts.ts GraphNode.id — store-assigned). */
function newGraphNodeId(): string {
return `n_${randomBytes(6).toString("hex")}`;
}
// ─── transcript scanning (shared by the merger + trigger) ─────────────────────
/** A flattened, order-preserving view of every tool part in a transcript. */
interface ToolPartView {
name: string;
toolCallId: string;
state: string;
input: unknown;
output: unknown;
}
function toolParts(messages: UIMessage[]): ToolPartView[] {
const out: ToolPartView[] = [];
for (const message of messages) {
for (const part of message.parts) {
if (!isToolUIPart(part)) continue;
out.push({
name: part.type.slice("tool-".length),
toolCallId: part.toolCallId,
state: part.state,
input: part.input,
output: part.output,
});
}
}
return out;
}
/** A plan tool part's output, if it is a well-formed PlanToolResult. */
function planResult(part: ToolPartView): PlanToolResult | null {
if (part.state !== "output-available") return null;
const out = part.output;
if (typeof out !== "object" || out === null) return null;
if (!("tree" in out) || typeof (out as PlanToolResult).ok !== "boolean") return null;
return out as PlanToolResult;
}
// ─── the merger (extraction pipeline stage 3 — deterministic) ────────────────
export interface EmissionStats {
/** New graph nodes appended (and mappings with them). */
nodes: number;
/** New edge assertions appended. */
edges: number;
/** New ledger events appended. */
events: number;
}
/**
* Merge one chat's audited findings into the graph ledgers — the pipeline's
* apply stage. Deterministic + idempotent: re-merging the same findings (or
* a later re-extraction of the same chat) appends nothing but the new.
*
* Identity resolution (v1: conservative): a proposition whose statement or
* alias EXACTLY matches (case-insensitive, trimmed) an existing node's
* statement or alias merges onto it; everything else is a new node. One
* mapping line per (chat, graph node) — the merge audit trail. Fuzzy /
* embedding adjudication stays deferred (vision §1 consolidation).
*
* Events are rebuilt deterministically from the transcript's quiz and
* plan_mark_done parts (kinds, timestamps, notes, refs). TAGGED events
* (quiz nodeId, mark_done tree node) resolve through the proposition
* mapping — deterministic; the findings' attribution is consulted ONLY for
* untagged probe quizzes: the retroactive probe-attribution resolution (a
* pre-tree probe maps to a proposition the tree only articulates later).
* Unattributed quizzes land with nodeId null + the question text, exactly
* like the unattributable ones always have.
*/
export function mergeFindings(chatId: string, findings: SessionFindings, deps: GraphDeps): EmissionStats {
const { graphStore: ledgers, chatStore } = deps;
const record = chatStore.getChat(chatId);
if (!record) return { nodes: 0, edges: 0, events: 0 };
const stats: EmissionStats = { nodes: 0, edges: 0, events: 0 };
// 1. Identity resolution. mapping: proposition id (and tree node id)
// → graph node id — from this chat's existing mapping lines, then
// extended as findings resolve. chatNodeIds: graph nodes this chat has
// already mapped onto — the (chat, graph node) mapping dedupe.
const mapping = new Map<string, string>();
const chatNodeIds = new Set<string>();
for (const m of ledgers.readMappings()) {
if (m.chatId !== chatId || typeof m.sourceId !== "string") continue;
mapping.set(m.sourceId, m.graphNodeId);
chatNodeIds.add(m.graphNodeId);
}
// 2. Propositions → graph nodes. Exact statement/alias match against the
// whole ledger first (cross-session reuse), then against propositions
// created earlier in THIS merge (intra-findings dedupe).
const norm = (s: string): string => s.trim().toLowerCase();
const existingByTitle = new Map<string, string>();
for (const node of ledgers.readNodes()) {
for (const title of [node.statement, ...node.aliases]) {
const key = norm(title);
if (key && !existingByTitle.has(key)) existingByTitle.set(key, node.id);
}
}
const now = new Date().toISOString();
for (const p of findings.propositions) {
if (mapping.has(p.id)) continue;
const keys = [p.statement, ...p.aliases].map(norm).filter((k) => k.length > 0);
const matchId = keys.map((k) => existingByTitle.get(k)).find((id) => id !== undefined);
let graphNodeId: string;
if (matchId !== undefined) {
graphNodeId = matchId; // reuse — conservative merge, duplicates over wrong merges
} else {
const graphNode: GraphNode = {
id: newGraphNodeId(),
statement: p.statement,
aliases: [...p.aliases],
kind: p.kind,
createdAt: now,
};
ledgers.appendNode(graphNode);
stats.nodes++;
graphNodeId = graphNode.id;
}
for (const key of keys) if (!existingByTitle.has(key)) existingByTitle.set(key, graphNodeId);
if (!chatNodeIds.has(graphNodeId)) {
ledgers.appendMapping({ chatId, sourceId: p.treeNodeId ?? p.id, graphNodeId });
chatNodeIds.add(graphNodeId);
}
mapping.set(p.id, graphNodeId);
if (p.treeNodeId !== undefined) mapping.set(p.treeNodeId, graphNodeId);
}
// 3. Edges. Dedupe by (from,to,type) across the whole ledger: an existing
// assertion just gains this chatId as provenance (appended as a new
// line; reads merge).
const asserted = new Map<string, Set<string>>();
for (const line of ledgers.readEdges()) {
const key = `${line.from}\u0000${line.to}\u0000${line.type}`;
let provenance = asserted.get(key);
if (!provenance) {
provenance = new Set();
asserted.set(key, provenance);
}
for (const c of line.provenance) provenance.add(c);
}
for (const edge of findings.edges) {
const from = mapping.get(edge.from);
const to = mapping.get(edge.to);
if (!from || !to || from === to) continue; // unmapped endpoint — skip
const key = `${from}\u0000${to}\u0000${edge.type}`;
const provenance = asserted.get(key);
if (provenance?.has(chatId)) continue; // already asserted by this chat
ledgers.appendEdge({ from, to, type: edge.type, provenance: [chatId] });
if (provenance) provenance.add(chatId);
else asserted.set(key, new Set([chatId]));
stats.edges++;
}
// 4. Events, rebuilt deterministically in transcript order so the
// probe/check boundary is exact: quizzes BEFORE the first plan_init
// output are probes. Refs are chat-scoped (a quiz toolCallId or
// taught:<treeNodeId>) — a ref already in the ledger means this turn
// was extracted before. The findings' attribution supplies the
// nodeId, nothing else.
const seenRefs = new Set<string>();
for (const event of ledgers.readEvents()) {
if (event.chatId === chatId && event.ref) seenRefs.add(event.ref);
}
let planSeen = false;
for (const part of toolParts(record.messages)) {
// The boundary flips on the first plan_init OUTPUT, whatever it says
// (an ok:false "tree already initialized" still means a tree exists).
if (part.name === "plan_init" && part.state === "output-available") planSeen = true;
if (part.name === "quiz" && part.state === "output-available") {
const event = quizEvent(part, chatId, mapping, findings, planSeen, now);
if (event?.ref !== undefined && !seenRefs.has(event.ref)) {
ledgers.appendEvent(event);
seenRefs.add(event.ref);
stats.events++;
}
}
if (part.name === "plan_mark_done" && part.state === "output-available") {
const result = planResult(part);
const input = part.input as { id?: unknown } | undefined;
if (result?.ok && typeof input?.id === "string") {
const ref = `taught:${input.id}`;
if (!seenRefs.has(ref)) {
// mark_done is tagged with the tree node id — deterministic.
ledgers.appendEvent({
nodeId: mapping.get(input.id) ?? null,
kind: "taught",
chatId,
at: now,
ref,
});
seenRefs.add(ref);
stats.events++;
}
}
}
}
// 5. Checkpoint: this chat is extracted through its current updatedAt.
ledgers.appendCheckpoint({ chatId, foldedAt: record.updatedAt });
return stats;
}
/** Build the ledger event for one answered quiz tool part (or null to skip).
* Deterministic in everything except the attribution-supplied nodeId. */
function quizEvent(
part: ToolPartView,
chatId: string,
mapping: Map<string, string>,
findings: SessionFindings,
planSeen: boolean,
now: string,
): LedgerEvent | null {
const out = part.output;
if (typeof out !== "object" || out === null) return null;
const answer = out as Partial<QuestionAnswerData>;
if (answer.kind !== "quiz") return null; // ask questions are not graded
if (answer.dismissed === true) return null; // no answer — no evidence
let kind: LedgerEventKind;
if (answer.dontKnow === true) kind = "dont-know";
else if (answer.correct === true) kind = planSeen ? "check-correct" : "probe-correct";
else kind = planSeen ? "check-incorrect" : "probe-miss";
// Tagged (input.nodeId) resolves deterministically through the mapping;
// attribution is the LLM judgment call for UNTAGGED probes only — the
// vision's open probe-attribution question, resolved retroactively.
const input = part.input as { nodeId?: unknown } | undefined;
const tagged = typeof input?.nodeId === "string" ? mapping.get(input.nodeId) : undefined;
const attributedId = findings.attribution.quiz[part.toolCallId];
const nodeId = tagged ?? (attributedId ? (mapping.get(attributedId) ?? null) : null);
const event: LedgerEvent = {
nodeId,
kind,
chatId,
at: typeof answer.answeredAt === "string" ? answer.answeredAt : now,
ref: part.toolCallId,
};
if (typeof answer.note === "string" && answer.note.length > 0) event.note = answer.note;
// The question text is the attribution input for unattributed probes.
if (nodeId === null && typeof answer.questionText === "string") event.question = answer.questionText;
return event;
}
// ─── the trigger helper (v1: every N quiz answers — swappable seam) ──────────
/**
* How many ANSWERED quiz parts in this chat are not yet in the ledger — i.e.
* new evidence since the last extraction. The v1 trigger (turn-service)
* fires the pipeline when this crosses EXTRACTION.everyNQuizAnswers. Every
* answered quiz always becomes an event (attribution only decides nodeId),
* so ref-not-in-ledger is a correct "not yet processed" marker.
*/
export function pendingQuizAnswers(chatId: string, deps: GraphDeps): number {
const record = deps.chatStore.getChat(chatId);
if (!record) return 0;
const seenRefs = new Set<string>();
for (const event of deps.graphStore.readEvents()) {
if (event.chatId === chatId && event.ref) seenRefs.add(event.ref);
}
let count = 0;
for (const part of toolParts(record.messages)) {
if (part.name !== "quiz" || part.state !== "output-available") continue;
const out = part.output;
if (typeof out !== "object" || out === null) continue;
const answer = out as Partial<QuestionAnswerData>;
if (answer.kind !== "quiz" || answer.dismissed === true) continue; // dismissed = not answered
if (!seenRefs.has(part.toolCallId)) count++;
}
return count;
}
// ─── derivation (reads only — everything below is recomputable) ─────────────
export interface DerivedGraph {
nodes: GraphNode[];
edges: GraphEdge[];
events: LedgerEvent[];
}
/**
* The whole graph from the ledgers. Edge LINES are assertions; the returned
* edges are merged by (from,to,type) with unioned provenance, first-seen
* order. `store events, derive state` — this is the only reader that matters.
*/
export function getGraph(graphStore: GraphStore): DerivedGraph {
const nodes = graphStore.readNodes();
const merged: GraphEdge[] = [];
const byKey = new Map<string, GraphEdge>();
for (const line of graphStore.readEdges()) {
const key = `${line.from}\u0000${line.to}\u0000${line.type}`;
const existing = byKey.get(key);
if (existing) {
for (const c of line.provenance) {
if (!existing.provenance.includes(c)) existing.provenance.push(c);
}
} else {
const edge: GraphEdge = { ...line, provenance: [...line.provenance] };
byKey.set(key, edge);
merged.push(edge);
}
}
return { nodes, edges: merged, events: graphStore.readEvents() };
}
const QUIZ_EVENT_KINDS: ReadonlySet<string> = new Set([
"probe-correct",
"check-correct",
"probe-miss",
"check-incorrect",
"dont-know",
]);
/**
* Derive node states from events (never stored): taught if ANY taught event;
* else the LATEST quiz event decides (known / missed / dont-know); a node
* with no events is a candidate.
*/
export function deriveNodeStates(nodes: GraphNode[], events: LedgerEvent[]): Record<string, NodeStateClass> {
const states: Record<string, NodeStateClass> = {};
for (const node of nodes) states[node.id] = "candidate";
const taught = new Set<string>();
const latest = new Map<string, { at: string; kind: LedgerEventKind; index: number }>();
events.forEach((event, index) => {
if (event.nodeId === null) return;
if (event.kind === "taught") {
taught.add(event.nodeId);
return;
}
if (!QUIZ_EVENT_KINDS.has(event.kind)) return;
const current = latest.get(event.nodeId);
if (!current || event.at > current.at || (event.at === current.at && index > current.index)) {
latest.set(event.nodeId, { at: event.at, kind: event.kind, index });
}
});
for (const node of nodes) {
if (taught.has(node.id)) {
states[node.id] = "taught";
continue;
}
const last = latest.get(node.id);
if (!last) continue; // candidate
if (last.kind === "probe-correct" || last.kind === "check-correct") states[node.id] = "known";
else if (last.kind === "dont-know") states[node.id] = "dont-know";
else states[node.id] = "missed";
}
return states;
}
// ─── the /api/graph payload ──────────────────────────────────────────────────
/** Everything the home graph view needs, in one fetch (shape: contracts). */
export function graphSnapshot(deps: GraphDeps): GraphSnapshot {
const { nodes, edges, events } = getGraph(deps.graphStore);
const nodeStates = deriveNodeStates(nodes, events);
const nodeChats = new Map<string, Set<string>>();
const touch = (nodeId: string, chatId: string): void => {
let chats = nodeChats.get(nodeId);
if (!chats) {
chats = new Set();
nodeChats.set(nodeId, chats);
}
chats.add(chatId);
};
for (const m of deps.graphStore.readMappings()) touch(m.graphNodeId, m.chatId);
for (const edge of edges) {
for (const chatId of edge.provenance) {
touch(edge.from, chatId);
touch(edge.to, chatId);
}
}
for (const event of events) {
if (event.nodeId !== null) touch(event.nodeId, event.chatId);
}
// Titles for every chat the graph can point back at.
const chatIds = new Set<string>();
for (const chats of nodeChats.values()) {
for (const id of chats) chatIds.add(id);
}
const sessions: Record<string, string> = {};
for (const id of chatIds) {
const chat = deps.chatStore.getChat(id);
if (chat) sessions[id] = chat.title;
}
const nodeSessions: Record<string, string[]> = {};
for (const [nodeId, chats] of nodeChats) {
const ids = [...chats].filter((id) => sessions[id] !== undefined);
if (ids.length > 0) nodeSessions[nodeId] = ids;
}
return { nodes, edges, nodeStates, sessions, nodeSessions };
}