Files
learnharness/tests/graph-context.test.ts
T
amosblomqvist 90893ae236 graph context: a separate marker message before the first user turn
The map picks no longer glue into the opening prompt as seed text
(owner, 2026-10-04 late). POST /api/chats accepts graphContext
{propositions}; the route resolves the picks against the live graph,
derives the reasoning chains among them (chainsForSelection →
formatChainLine), and writes a graph-context custom marker as
message[0] — before the learner's first user message, in either mode.

- Core: newGraphContextMessage (model-facing content = the
  contextualization framing + proposition lines + chain lines;
  details = the structured pick); toLlmMessages flattens it to a user
  message like every marker, so the model reads it for free.
- View: projects to a user-side data-graph-context part.
- UI: GraphContextCard — minimal, muted, dashed, collapsed by default
  (counts only); expand reveals name — statement rows and the chain
  lines. Same compact-expandable pattern as the practice cards.
- Home: sends graphContext with the creation whenever picks exist;
  the prompt param carries the learner's own words only.
2026-10-04 23:07:13 +03:00

132 lines
6.1 KiB
TypeScript

/**
* THE GRAPH-CONTEXT MARKER (owner, 2026-10-04 late): a session started
* with map picks gets its context as a SEPARATE custom message BEFORE
* the learner's first user message — the picked propositions plus the
* reasoning chains among them (formatChainLine lines), no more seed
* text glued into the opening prompt. The model reads the marker's
* content (toLlmMessages flattens it to a user message like every
* marker); `details` feeds the transcript's collapsible
* GraphContextCard (render-practice pins live in the render suite).
*
* The route pin drives POST /api/chats under an isolated LH_DATA_DIR
* (the birth-stamp discipline): picks ride the CREATION, the marker
* lands as message[0], and the chains derive from the live graph
* snapshot.
*/
import assert from "node:assert/strict";
import fs from "node:fs";
import * as os from "node:os";
import * as path from "node:path";
import { after, describe, it } from "node:test";
// ── the seam, BEFORE any config-loading import ──────────────────────────────
const TMP_DATA = fs.mkdtempSync(path.join(os.tmpdir(), "lh-graph-context-"));
process.env.LH_DATA_DIR = TMP_DATA;
const { newGraphContextMessage } = await import("../src/core/native-messages.ts");
const { toLlmMessages } = await import("../src/core/native-messages.ts");
import type { LhMessage } from "../src/core/native-messages.ts";
const { projectView } = await import("../src/core/view.ts");
const { POST } = await import("../app/api/chats/route.ts");
const { chatStore } = await import("../src/store/chats.ts");
const { graphStore } = await import("../src/store/graph.ts");
after(() => {
fs.rmSync(TMP_DATA, { recursive: true, force: true });
});
const PICKS = [
{ id: "n_a", name: "Modus ponens", statement: "If P implies Q and P holds, Q holds." },
{ id: "n_b", name: "Soundness", statement: "A valid argument from true premises has a true conclusion." },
];
// ── the pure marker ─────────────────────────────────────────────────────────
describe("newGraphContextMessage", () => {
it("frames the context for the model: propositions listed, chains appended", () => {
const m = newGraphContextMessage(PICKS, ["Modus ponens → Soundness"]);
assert.equal(m.customType, "graph-context");
assert.match(m.content, /Contextualization — the learner picked these propositions/);
assert.ok(m.content.includes("- Modus ponens: If P implies Q and P holds, Q holds."));
assert.ok(m.content.includes("Reasoning chains among them"));
assert.ok(m.content.includes("- Modus ponens → Soundness"));
// the UI payload is the structured pick, not the flattened text
assert.deepEqual(m.details, { propositions: PICKS, chains: ["Modus ponens → Soundness"] });
});
it("no chains: the chains section stays out entirely", () => {
const m = newGraphContextMessage(PICKS, []);
assert.ok(!m.content.includes("Reasoning chains"));
assert.deepEqual(m.details, { propositions: PICKS, chains: [] });
});
it("toLlmMessages flattens it to a user message (the model's face)", () => {
const m = newGraphContextMessage(PICKS, ["Modus ponens → Soundness"]);
const wire = toLlmMessages([m as unknown as LhMessage] as never);
assert.equal(wire.length, 1);
assert.equal(wire[0]!.role, "user");
assert.ok(String((wire[0]!.content as { text?: string }[])[0]!.text).includes("Contextualization"));
});
it("projectView: a user-side data part — never a text bubble", () => {
const m = newGraphContextMessage(PICKS, []);
const view = projectView([m as unknown as LhMessage] as never);
assert.equal(view.length, 1);
assert.equal(view[0]!.role, "user");
const part = view[0]!.parts[0] as { type: string; data: unknown };
assert.equal(part.type, "data-graph-context");
assert.deepEqual(part.data, m.details);
});
});
// ── the route (picks ride the creation) ─────────────────────────────────────
describe("POST /api/chats — graphContext becomes message[0]", () => {
it("writes the marker before any user message; chains derive from the live graph", async () => {
// Seed the map: two picked nodes joined by one chain.
const node = (id: string, name: string, statement: string) => ({
id, name, statement, aliases: [] as string[], createdAt: "2026-10-01T00:00:00.000Z", provenance: [],
});
graphStore.appendNode(node("n_a", "Modus ponens", "If P implies Q and P holds, Q holds."));
graphStore.appendNode(node("n_b", "Soundness", "A valid argument from true premises has a true conclusion."));
graphStore.appendChain({
id: "arg_1", premises: ["n_a"], conclusion: "n_b",
provenance: [], createdAt: "2026-10-01T00:00:00.000Z",
});
const res = await POST(new Request("http://test/api/chats", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
title: "drill me on logic",
kind: "practice",
graphContext: { propositions: PICKS },
}),
}));
assert.equal(res.status, 200);
const { id } = (await res.json()) as { id: string };
const record = chatStore.getChat(id)!;
assert.equal(record.messages.length, 1, "the marker is message[0], alone until the first turn");
const m = record.messages[0] as { role: string; customType: string; content: string };
assert.equal(m.role, "custom");
assert.equal(m.customType, "graph-context");
assert.ok(m.content.includes("- Modus ponens: If P implies Q and P holds, Q holds."));
// the chain AMONG the picks rides the marker (formatChainLine shape)
assert.ok(m.content.includes("- Modus ponens → Soundness"));
});
it("no picks (or malformed) → no marker, an empty record as before", async () => {
for (const body of [{ title: "t" }, { title: "t", graphContext: { propositions: "junk" } }]) {
const res = await POST(new Request("http://test/api/chats", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(body),
}));
const { id } = (await res.json()) as { id: string };
assert.equal(chatStore.getChat(id)!.messages.length, 0);
}
});
});