ktx/packages/cli/src/knowledge.test.ts
Andrey Avtomonov 9d92c79988
fix(cli): resolve embedding provider explicitly and surface lane status in sl search (#192)
* feat(cli): add tryUseManagedLocalEmbeddingsDaemon for read-only callers

* feat(cli): add resolveProjectEmbeddingProvider helper

* fix(cli): wire sl search through resolveProjectEmbeddingProvider so semantic lane works

* fix(cli): wire wiki/knowledge search through resolveProjectEmbeddingProvider

* feat(cli): surface embeddings-unavailable status when sl search returns empty

* refactor(cli): route admin reindex through resolveProjectEmbeddingProvider

* refactor: pass embeddingProvider into ingest/scan instead of resolving inside @ktx/context

* refactor(mcp): resolve embedding provider in CLI factory, pass into context ports

* refactor(context): delete MANAGED_SENTENCE_TRANSFORMERS_BASE_URL sentinel

* refactor(cli): delete sentinel-based managed-embeddings indirection

* chore: scrub stale managed-embeddings sentinel references from tests and smoke script

* chore: unexport unused EmbeddingResolutionMode alias

* fix(cli): force pathPrefix="" when targeting the managed embeddings daemon

The managed daemon serves /embeddings/compute directly. The default
pathPrefix in @ktx/llm is /api, so omitting sentenceTransformers from
ktx.yaml produced /api/embeddings/compute -> 404. The resolver now
sets pathPrefix='' explicitly when wiring the managed daemon URL,
matching what the daemon actually exposes.
2026-05-21 02:21:22 +02:00

268 lines
8.1 KiB
TypeScript

import { mkdtemp, rm } from 'node:fs/promises';
import { tmpdir } from 'node:os';
import { join } from 'node:path';
import { stripVTControlCharacters } from 'node:util';
import { initKtxProject, loadKtxProject } from '@ktx/context/project';
import type { KtxEmbeddingPort } from '@ktx/context';
import { writeLocalKnowledgePage } from '@ktx/context/wiki';
import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest';
import { runKtxKnowledge } from './knowledge.js';
function makeIo() {
let stdout = '';
let stderr = '';
return {
io: {
stdout: {
write: (chunk: string) => {
stdout += chunk;
},
},
stderr: {
write: (chunk: string) => {
stderr += chunk;
},
},
},
stdout: () => stdout,
stderr: () => stderr,
};
}
class FakeEmbeddingPort implements KtxEmbeddingPort {
readonly maxBatchSize = 16;
async computeEmbedding(text: string): Promise<number[]> {
const lower = text.toLowerCase();
return lower.includes('revenue') || lower.includes('arr') ? [1, 0] : [0, 1];
}
async computeEmbeddingsBulk(texts: string[]): Promise<number[][]> {
return Promise.all(texts.map((text) => this.computeEmbedding(text)));
}
}
interface WikiPageFixture {
key?: string;
summary?: string;
content?: string;
tags?: string[];
slRefs?: string[];
}
async function seedWikiPage(projectDir: string, fixture: WikiPageFixture = {}): Promise<void> {
const project = await loadKtxProject({ projectDir });
await writeLocalKnowledgePage(project, {
key: fixture.key ?? 'metrics-revenue',
scope: 'GLOBAL',
userId: 'local',
summary: fixture.summary ?? 'Revenue',
content: fixture.content ?? 'Revenue is paid order value.',
tags: fixture.tags ?? ['finance'],
refs: [],
slRefs: fixture.slRefs ?? ['orders'],
});
}
describe('runKtxKnowledge', () => {
let tempDir: string;
beforeEach(async () => {
tempDir = await mkdtemp(join(tmpdir(), 'ktx-cli-knowledge-'));
});
afterEach(async () => {
await rm(tempDir, { recursive: true, force: true });
});
it('lists and searches wiki pages', async () => {
const projectDir = join(tempDir, 'project');
await initKtxProject({ projectDir });
await seedWikiPage(projectDir);
const listIo = makeIo();
await expect(
runKtxKnowledge({ command: 'list', projectDir, userId: 'local', cliVersion: '0.0.0-test' }, listIo.io),
).resolves.toBe(0);
expect(listIo.stdout()).toContain('GLOBAL\tmetrics-revenue\tRevenue');
const searchIo = makeIo();
await expect(
runKtxKnowledge(
{ command: 'search', projectDir, query: 'paid order', userId: 'local', cliVersion: '0.0.0-test' },
searchIo.io,
),
).resolves.toBe(0);
expect(searchIo.stdout()).toContain('metrics-revenue');
});
it('prints wiki search rank badges in pretty output', async () => {
const projectDir = join(tempDir, 'rank-project');
await initKtxProject({ projectDir });
await seedWikiPage(projectDir);
const searchIo = makeIo();
await expect(
runKtxKnowledge(
{
command: 'search',
projectDir,
query: 'paid order',
userId: 'local',
output: 'pretty',
cliVersion: '0.0.0-test',
},
searchIo.io,
),
).resolves.toBe(0);
const stdout = stripVTControlCharacters(searchIo.stdout());
expect(stdout).toMatch(/#1\s+metrics-revenue/);
expect(stdout).not.toContain('%');
});
it('prints wiki list and search as public JSON envelopes', async () => {
const projectDir = join(tempDir, 'project');
await initKtxProject({ projectDir });
await seedWikiPage(projectDir);
const listIo = makeIo();
await expect(
runKtxKnowledge(
{ command: 'list', projectDir, userId: 'local', json: true, cliVersion: '0.0.0-test' },
listIo.io,
),
).resolves.toBe(0);
expect(JSON.parse(listIo.stdout())).toMatchObject({
kind: 'list',
data: { items: [expect.objectContaining({ key: 'metrics-revenue', summary: 'Revenue' })] },
meta: { command: 'wiki list' },
});
const searchIo = makeIo();
await expect(
runKtxKnowledge(
{
command: 'search',
projectDir,
query: 'paid order',
userId: 'local',
json: true,
limit: 5,
cliVersion: '0.0.0-test',
},
searchIo.io,
),
).resolves.toBe(0);
expect(JSON.parse(searchIo.stdout())).toMatchObject({
kind: 'list',
data: { items: [expect.objectContaining({ key: 'metrics-revenue', summary: 'Revenue' })] },
meta: { command: 'wiki search' },
});
});
it('explains empty search results for a project without wiki pages', async () => {
const projectDir = join(tempDir, 'empty-project');
await initKtxProject({ projectDir });
const searchIo = makeIo();
await expect(
runKtxKnowledge(
{ command: 'search', projectDir, query: 'revenue', userId: 'local', cliVersion: '0.0.0-test' },
searchIo.io,
),
).resolves.toBe(0);
expect(searchIo.stdout()).toBe('');
expect(searchIo.stderr()).toContain('No local wiki pages found');
expect(searchIo.stderr()).toContain('ktx ingest <connectionId>');
});
it('uses configured embeddings for semantic wiki search', async () => {
const projectDir = join(tempDir, 'semantic-project');
await initKtxProject({ projectDir });
await seedWikiPage(projectDir, {
key: 'active-contract-arr-open-tickets',
summary: 'Active Contract ARR Ranked by Open Support Ticket Count',
content: 'Accounts ranked by annual recurring contract value and support ticket load.',
tags: ['historic-sql'],
slRefs: [],
});
const searchIo = makeIo();
await expect(
runKtxKnowledge(
{ command: 'search', projectDir, query: 'revenue', userId: 'local', cliVersion: '0.0.0-test' },
searchIo.io,
{ embeddingService: new FakeEmbeddingPort() },
),
).resolves.toBe(0);
expect(searchIo.stdout()).toContain('active-contract-arr-open-tickets');
expect(searchIo.stderr()).toBe('');
});
it('routes wiki search through resolveEmbeddingProvider when no embeddingService is injected', async () => {
const projectDir = join(tempDir, 'resolver-project');
await initKtxProject({ projectDir });
const search = vi.fn(async () => []);
const searchIo = makeIo();
await expect(
runKtxKnowledge(
{
command: 'search',
projectDir,
query: 'income',
userId: 'local',
cliVersion: '0.5.0',
},
searchIo.io,
{
resolveEmbeddingProvider: async () => ({
kind: 'managed-running',
provider: { id: 'fake' } as never,
baseUrl: 'http://127.0.0.1:51234',
}),
searchLocalKnowledgePages: search,
},
),
).resolves.toBe(0);
expect(search).toHaveBeenCalledWith(
expect.anything(),
expect.objectContaining({ embeddingService: expect.any(Object) }),
);
});
it('writes wiki search lane diagnostics to stderr when debug is enabled', async () => {
const projectDir = join(tempDir, 'debug-project');
await initKtxProject({ projectDir });
await seedWikiPage(projectDir);
const searchIo = makeIo();
await expect(
runKtxKnowledge(
{
command: 'search',
projectDir,
query: 'paid order',
userId: 'local',
json: true,
debug: true,
cliVersion: '0.0.0-test',
},
searchIo.io,
{ embeddingService: new FakeEmbeddingPort() },
),
).resolves.toBe(0);
expect(JSON.parse(searchIo.stdout())).toMatchObject({
kind: 'list',
data: { items: [expect.objectContaining({ key: 'metrics-revenue' })] },
meta: { command: 'wiki search' },
});
expect(searchIo.stderr()).toContain('[debug] wiki search mode=sqlite-fts5');
expect(searchIo.stderr()).toContain('embedding=configured');
expect(searchIo.stderr()).toContain('lane=lexical status=available');
expect(searchIo.stderr()).toContain('lane=semantic status=available');
});
});