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).
444 lines
18 KiB
TypeScript
444 lines
18 KiB
TypeScript
/**
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* Graph merger + trigger + derivation tests (vision §1; contracts.ts
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* "extraction pipeline"). The merger (core/graph.ts mergeFindings) is the
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* pipeline's deterministic apply stage: findings in, ledger appends out —
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* identity resolution, retroactive probe attribution, event rebuild, and
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* the idempotency guarantees.
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*
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* Ledger isolation: PATHS is fixed at import time, so the five data/graph
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* ledgers are backed up and cleared before the suite and restored after
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* (try/finally-shaped: the after() hook always runs, even on failure).
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* The chat fixtures are real ChatRecords in the chat store (created and
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* deleted by this suite) — the merger reads exactly what production reads.
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* The full LLM pipeline (extractor → auditor) is tested in
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* tests/extraction.test.ts with mock models.
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*/
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import assert from "node:assert/strict";
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import * as fs from "node:fs";
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import { after, describe, it } from "node:test";
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import type { UIMessage } from "ai";
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import type { PlanTree, PlanToolResult, SessionFindings } from "../src/core/contracts.ts";
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import type { QuestionAnswerData } from "../src/core/question-core.ts";
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import { createTree, markDone } from "../src/core/plan-tree.ts";
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import { getGraph, graphSnapshot, mergeFindings, pendingQuizAnswers, type GraphDeps } from "../src/core/graph.ts";
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import { graphStore } from "../src/store/graph.ts";
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import { chatStore } from "../src/store/chats.ts";
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import { LEDGER_FILES, PATHS } from "../config.ts";
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/** The wired fs adapters, exactly what src/server/stores.ts passes in production. */
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const graphDeps = { chatStore, graphStore } as const satisfies GraphDeps;
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// ─── ledger isolation (backup-and-clear of data/graph/*.jsonl) ──────────────
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const LEDGER_PATHS = Object.values(LEDGER_FILES);
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const backups: Array<{ file: string; bak: string }> = [];
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const createdChats: string[] = [];
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fs.mkdirSync(PATHS.graph, { recursive: true });
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for (const file of LEDGER_PATHS) {
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if (fs.existsSync(file)) {
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const bak = `${file}.w5test.bak`;
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fs.renameSync(file, bak);
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backups.push({ file, bak });
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}
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}
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after(() => {
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for (const file of LEDGER_PATHS) {
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try {
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fs.unlinkSync(file);
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} catch {
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/* nothing was written here */
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}
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}
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for (const { file, bak } of backups) fs.renameSync(bak, file);
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for (const id of createdChats) {
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try {
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fs.unlinkSync(`${PATHS.chats}/${id}.json`);
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} catch {
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/* already gone */
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}
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}
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});
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// ─── fixture builders ────────────────────────────────────────────────────────
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function assistant(id: string, parts: unknown[]): UIMessage {
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return { id, role: "assistant", parts } as unknown as UIMessage;
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}
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function user(id: string, text: string): UIMessage {
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return { id, role: "user", parts: [{ type: "text", text }] } as unknown as UIMessage;
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}
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function quizPart(
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toolCallId: string,
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input: Record<string, unknown>,
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output: QuestionAnswerData,
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): unknown {
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return { type: "tool-quiz", toolCallId, state: "output-available", input, output };
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}
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function planPart(toolCallId: string, name: string, input: Record<string, unknown>, tree: PlanTree): unknown {
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return {
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type: `tool-${name}`,
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toolCallId,
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state: "output-available",
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input,
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output: { ok: true, tree } satisfies PlanToolResult,
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};
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}
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function answer(over: Partial<QuestionAnswerData>): QuestionAnswerData {
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return {
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questionId: "q",
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kind: "quiz",
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questionText: "question text",
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dontKnow: false,
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answers: [],
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answeredAt: "2026-08-22T00:00:00.000Z",
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...over,
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};
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}
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/** Create a chat in the real store with a tree and messages; returns the record. */
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function fixtureChat(title: string, tree: PlanTree | null, messages: UIMessage[]) {
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const chat = chatStore.createChat(title);
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createdChats.push(chat.id);
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if (tree) chatStore.saveTree(chat.id, tree);
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chatStore.saveMessages(chat.id, messages);
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return chatStore.getChat(chat.id)!;
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}
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/** The fixture tree: alpha → beta, gamma free-floating, alpha done. */
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function fixtureTree(): PlanTree {
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return markDone(
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createTree(
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[
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{ id: "alpha", title: "Alpha intuition" },
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{ id: "beta", title: "Beta rule" },
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{ id: "gamma", title: "Gamma application" },
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],
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[{ from: "alpha", to: "beta" }],
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),
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"alpha",
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);
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}
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/**
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* Findings shaped exactly like what the extractor would produce for a
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* session's plan tree: one proposition per tree node (statement = title,
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* treeNodeId set), one `requires` edge per tree edge.
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*/
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function treeFindings(tree: PlanTree): SessionFindings {
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const idByNodeId = new Map(tree.nodes.map((n, i) => [n.id, `p${i + 1}`]));
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return {
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propositions: tree.nodes.map((n, i) => ({
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id: `p${i + 1}`,
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statement: n.title,
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aliases: [],
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kind: "truth" as const,
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treeNodeId: n.id,
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evidence: ["fixture evidence"],
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})),
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edges: tree.edges.map((e) => ({
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from: idByNodeId.get(e.from)!,
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to: idByNodeId.get(e.to)!,
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type: "requires" as const,
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evidence: ["fixture evidence"],
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})),
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attribution: { quiz: {} },
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};
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}
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/** The full fixture transcript: probes → plan → checks → mark_done → noise. */
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function fixtureMessages(tree: PlanTree): UIMessage[] {
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return [
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user("u1", "teach me the fixture topic"),
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assistant("a1", [
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quizPart(
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"call-1",
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{ question: "Q1", options: [{ label: "a" }, { label: "b" }], correctAnswer: "a", explanation: "e" },
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answer({ questionId: "call-1", questionText: "Q1 text", correct: false, answeredAt: "2026-08-22T01:00:00.000Z" }),
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),
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]),
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assistant("a2", [
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quizPart(
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"call-2",
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{ question: "Q2", options: [{ label: "a" }, { label: "b" }], correctAnswer: "a", explanation: "e" },
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answer({ questionId: "call-2", questionText: "Q2 text", dontKnow: true, correct: false, answeredAt: "2026-08-22T01:01:00.000Z" }),
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),
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]),
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assistant("a3", [planPart("p1", "plan_init", { nodes: [], edges: [] }, tree)]),
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assistant("a4", [
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quizPart(
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"call-3",
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{ question: "Q3", nodeId: "alpha", options: [{ label: "a" }, { label: "b" }], correctAnswer: "a", explanation: "e" },
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answer({ questionId: "call-3", questionText: "Q3 text", correct: true, note: "recalled the diagram", answeredAt: "2026-08-22T02:00:00.000Z" }),
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),
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]),
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assistant("a5", [
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quizPart(
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"call-4",
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{ question: "Q4", nodeId: "beta", options: [{ label: "a" }, { label: "b" }], correctAnswer: "a", explanation: "e" },
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answer({ questionId: "call-4", questionText: "Q4 text", correct: false, answeredAt: "2026-08-22T02:01:00.000Z" }),
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),
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]),
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assistant("a6", [
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// nodeId present but NOT in the tree → tagged-but-unmapped: the
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// attribution can rescue it, or it lands null + question text.
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quizPart(
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"call-5",
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{ question: "Q5", nodeId: "ghost", options: [{ label: "a" }, { label: "b" }], correctAnswer: "a", explanation: "e" },
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answer({ questionId: "call-5", questionText: "Q5 text", dontKnow: true, correct: false, answeredAt: "2026-08-22T02:02:00.000Z" }),
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),
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]),
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assistant("a7", [planPart("p2", "plan_mark_done", { id: "alpha" }, tree)]),
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assistant("a8", [
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// dismissed quiz + an answered ask — neither becomes an event
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quizPart(
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"call-6",
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{ question: "Q6", options: [{ label: "a" }, { label: "b" }], correctAnswer: "a", explanation: "e" },
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answer({ questionId: "call-6", questionText: "Q6 text", dismissed: true }),
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),
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{
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type: "tool-ask_user_question",
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toolCallId: "call-7",
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state: "output-available",
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input: { question: "free text?" },
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output: answer({ questionId: "call-7", kind: "ask", questionText: "free text?", text: "because" }),
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},
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]),
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];
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}
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/**
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* The extractor's findings for the fixture chat: the tree as propositions +
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* the probe attribution. The audit stage is a no-op pass-through in these
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* merger tests — its behavior is tested with the pipeline (extraction.test).
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*/
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function fixtureFindings(): SessionFindings {
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const findings = treeFindings(fixtureTree());
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// Untagged probe quizzes: call-1 attributed retroactively to Alpha (the
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// vision's open question — resolved by the extractor); call-2 genuinely
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// unattributable; call-5's ghost nodeId is rescued onto Gamma.
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findings.attribution.quiz = { "call-1": "p1", "call-2": null, "call-5": "p3" };
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return findings;
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}
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/** The chat every merger test folds (shared, so ordering is intentional). */
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const chat1 = fixtureChat("Graph fixture", fixtureTree(), fixtureMessages(fixtureTree()));
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/** Set by the cross-session test; the snapshot test (which runs after it) reads it. */
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let chat2Id = "";
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// ─── the merger ──────────────────────────────────────────────────────────────
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/** Everything the graph holds for a set of chats (other processes' test
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* emissions run concurrently against the same files — scope, never assume). */
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function scopedGraph(chatIds: string[]) {
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const graph = getGraph(graphStore);
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const nodeIds = new Set(
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graphStore
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.readMappings()
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.filter((m) => chatIds.includes(m.chatId))
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.map((m) => m.graphNodeId),
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);
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return {
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nodes: graph.nodes.filter((n) => nodeIds.has(n.id)),
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edges: graph.edges.filter((e) => e.provenance.some((c) => chatIds.includes(c))),
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events: graph.events.filter((e) => chatIds.includes(e.chatId)),
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};
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}
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describe("the merger (mergeFindings)", () => {
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it("merges propositions/edges by identity and rebuilds events with retroactive probe attribution", () => {
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const stats = mergeFindings(chat1.id, fixtureFindings(), graphDeps);
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assert.deepEqual(stats, { nodes: 3, edges: 1, events: 6 });
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const graph = scopedGraph([chat1.id]);
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assert.equal(graph.nodes.length, 3);
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const idByStatement = new Map(graph.nodes.map((n) => [n.statement, n.id]));
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for (const node of graph.nodes) {
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assert.equal(node.kind, "truth");
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assert.deepEqual(node.aliases, []);
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assert.match(node.id, /^n_/);
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}
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// The tree edge alpha→beta becomes a `requires` edge on the mapped nodes.
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assert.equal(graph.edges.length, 1);
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const edge = graph.edges[0]!;
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assert.equal(edge.from, idByStatement.get("Alpha intuition"));
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assert.equal(edge.to, idByStatement.get("Beta rule"));
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assert.equal(edge.type, "requires");
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assert.deepEqual(edge.provenance, [chat1.id]);
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// Events — kinds, refs, notes, and the attribution paths.
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assert.equal(graph.events.length, 6);
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const byRef = new Map(graph.events.map((e) => [e.ref, e]));
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const probeMiss = byRef.get("call-1")!;
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assert.equal(probeMiss.kind, "probe-miss"); // quiz BEFORE plan_init
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assert.equal(probeMiss.nodeId, idByStatement.get("Alpha intuition"), "retroactive probe attribution");
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assert.equal(probeMiss.question, undefined, "attributed → no question text needed");
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const probeDontKnow = byRef.get("call-2")!;
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assert.equal(probeDontKnow.kind, "dont-know"); // same kind, both phases
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assert.equal(probeDontKnow.nodeId, null, "unattributable probe → null");
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assert.equal(probeDontKnow.question, "Q2 text");
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const check = byRef.get("call-3")!;
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assert.equal(check.kind, "check-correct"); // quiz AFTER plan_init
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assert.equal(check.nodeId, idByStatement.get("Alpha intuition"), "tagged quiz → deterministic");
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assert.equal(check.note, "recalled the diagram");
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const checkMiss = byRef.get("call-4")!;
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assert.equal(checkMiss.kind, "check-incorrect");
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assert.equal(checkMiss.nodeId, idByStatement.get("Beta rule"));
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const ghost = byRef.get("call-5")!;
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assert.equal(ghost.kind, "dont-know");
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assert.equal(ghost.nodeId, idByStatement.get("Gamma application"), "tagged-but-unmapped rescued by attribution");
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assert.equal(ghost.question, undefined);
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const taught = byRef.get("taught:alpha")!;
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assert.equal(taught.kind, "taught");
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assert.equal(taught.nodeId, idByStatement.get("Alpha intuition"), "mark_done → tree-node mapping");
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// The dismissed quiz and the ask question became nothing.
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assert.equal([...byRef.keys()].filter((r) => r === "call-6" || r === "call-7").length, 0);
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});
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it("is idempotent — re-merging the same findings appends nothing", () => {
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const stats = mergeFindings(chat1.id, fixtureFindings(), graphDeps);
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assert.deepEqual(stats, { nodes: 0, edges: 0, events: 0 });
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const graph = scopedGraph([chat1.id]);
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assert.equal(graph.nodes.length, 3);
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assert.equal(graph.edges.length, 1);
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assert.equal(graph.events.length, 6);
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// exactly one checkpoint line per merge, though — checkpoints are a log
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assert.equal(graphStore.readCheckpoints().filter((c) => c.chatId === chat1.id).length, 2);
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});
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it("merges a second session onto the same nodes and accumulates edge provenance", () => {
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// chat2 re-teaches the same two propositions (identical statements) —
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// the conservative identity resolution recognizes them.
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const tree2 = createTree(
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[
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{ id: "a", title: "Alpha intuition" },
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{ id: "b", title: "Beta rule" },
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],
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[{ from: "a", to: "b" }],
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);
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const chat2 = fixtureChat("Graph fixture 2", tree2, [
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user("u1", "again"),
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assistant("a1", [planPart("p1", "plan_init", { nodes: [], edges: [] }, tree2)]),
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]);
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const stats = mergeFindings(chat2.id, treeFindings(tree2), graphDeps);
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assert.deepEqual(stats, { nodes: 0, edges: 1, events: 0 });
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chat2Id = chat2.id;
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const after = scopedGraph([chat1.id, chat2.id]);
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assert.equal(after.nodes.length, 3); // no duplicate nodes
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assert.equal(after.edges.length, 1); // one merged edge…
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assert.deepEqual(after.edges[0]!.provenance, [chat1.id, chat2.id]); // …two sessions
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});
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it("derives node states, sessions, and node provenance in graphSnapshot", () => {
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const snap = graphSnapshot(graphDeps);
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const idByStatement = new Map(snap.nodes.map((n) => [n.statement, n.id]));
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assert.equal(snap.nodeStates[idByStatement.get("Alpha intuition")!], "taught");
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assert.equal(snap.nodeStates[idByStatement.get("Beta rule")!], "missed");
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// Gamma: no taught/checks — but the rescued dont-know probe (call-5)
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// makes its latest event a dont-know.
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assert.equal(snap.nodeStates[idByStatement.get("Gamma application")!], "dont-know");
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assert.equal(snap.sessions[chat1.id], "Graph fixture");
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assert.equal(snap.sessions[chat2Id], "Graph fixture 2");
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assert.deepEqual(
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(snap.nodeSessions[idByStatement.get("Alpha intuition")!] ?? []).sort(),
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[chat1.id, chat2Id].sort(),
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);
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// Gamma was only ever touched by chat1.
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assert.deepEqual(snap.nodeSessions[idByStatement.get("Gamma application")!], [chat1.id]);
|
|
});
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it("returns zeros for unknown chats", () => {
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|
assert.deepEqual(mergeFindings("chat_does_not_exist", treeFindings(fixtureTree()), graphDeps), {
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|
nodes: 0,
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|
edges: 0,
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events: 0,
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});
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|
});
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});
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|
|
// ─── the trigger helper ──────────────────────────────────────────────────────
|
|
|
|
describe("the trigger helper (pendingQuizAnswers)", () => {
|
|
it("counts answered quizzes not yet in the ledger — dismissed/ask never count", () => {
|
|
const tree = createTree([{ id: "solo", title: "Solo node" }], []);
|
|
const chat = fixtureChat("Trigger fixture", tree, [
|
|
user("u1", "go"),
|
|
assistant("a1", [planPart("p1", "plan_init", { nodes: [], edges: [] }, tree)]),
|
|
assistant("a2", [
|
|
quizPart(
|
|
"call-s",
|
|
{ question: "QS", nodeId: "solo", options: [{ label: "a" }, { label: "b" }], correctAnswer: "a", explanation: "e" },
|
|
answer({ questionId: "call-s", questionText: "QS text", correct: true, answeredAt: "2026-08-22T03:00:00.000Z" }),
|
|
),
|
|
quizPart(
|
|
"call-s2",
|
|
{ question: "QS2", options: [{ label: "a" }, { label: "b" }], correctAnswer: "a", explanation: "e" },
|
|
answer({ questionId: "call-s2", questionText: "QS2 text", dismissed: true }),
|
|
),
|
|
{
|
|
type: "tool-ask_user_question",
|
|
toolCallId: "call-s3",
|
|
state: "output-available",
|
|
input: { question: "free?" },
|
|
output: answer({ questionId: "call-s3", kind: "ask", questionText: "free?", text: "y" }),
|
|
},
|
|
]),
|
|
]);
|
|
|
|
assert.equal(pendingQuizAnswers(chat.id, graphDeps), 1, "one answered quiz pending");
|
|
assert.equal(pendingQuizAnswers("chat_does_not_exist", graphDeps), 0);
|
|
|
|
mergeFindings(chat.id, treeFindings(tree), graphDeps);
|
|
assert.equal(pendingQuizAnswers(chat.id, graphDeps), 0, "extracted → nothing pending");
|
|
|
|
// A NEW answered quiz raises the count again (the re-trigger path).
|
|
chatStore.saveMessages(chat.id, [
|
|
...chatStore.getChat(chat.id)!.messages,
|
|
assistant("a3", [
|
|
quizPart(
|
|
"call-s4",
|
|
{ question: "QS4", nodeId: "solo", options: [{ label: "a" }, { label: "b" }], correctAnswer: "a", explanation: "e" },
|
|
answer({ questionId: "call-s4", questionText: "QS4 text", correct: false, answeredAt: "2026-08-22T03:01:00.000Z" }),
|
|
),
|
|
]),
|
|
]);
|
|
assert.equal(pendingQuizAnswers(chat.id, graphDeps), 1);
|
|
});
|
|
});
|
|
|
|
// ─── store primitives ────────────────────────────────────────────────────────
|
|
|
|
describe("graph ledger store", () => {
|
|
it("round-trips lines and skips corrupt / foreign-shaped lines (strict reads)", () => {
|
|
const node = { id: "n_storetest", statement: "Store test", aliases: [], kind: "truth" as const, createdAt: "2026-08-22T00:00:00.000Z" };
|
|
graphStore.appendNode(node);
|
|
// A torn append and a legacy V0-shaped node (different schema) — both skipped.
|
|
fs.appendFileSync(
|
|
LEDGER_FILES.nodes,
|
|
`{not json}\n${JSON.stringify({ id: "legacy", statement: "Legacy shape", domain: "x", state: "known" })}\n`,
|
|
"utf-8",
|
|
);
|
|
const nodes = graphStore.readNodes().filter((n) => n.id === "n_storetest" || n.id === "legacy");
|
|
assert.equal(nodes.length, 1);
|
|
assert.equal(nodes[0]!.statement, "Store test");
|
|
});
|
|
});
|