ktx/packages/cli/test/context/ingest/adapters/looker/looker.adapter.test.ts
Andrey Avtomonov 56985b7e09
test: split cli tests from source tree (#216)
* feat(cli): define full warehouse dialect contract

* test(cli): keep dialect edge tests focused

* fix(cli): stabilize dialect contract foundation

* refactor(connectors): own read-only query preparation

* refactor(connectors): resolve dialects through registry

* refactor(connectors): keep concrete dialect classes internal

* chore(workspace): enforce dialect import boundary

* refactor(cli): resolve relationship dialect at scan boundary

* refactor(cli): use dialect display parsing for entity details

* refactor(cli): use dialect display parsing for warehouse catalog

* refactor(cli): use dialect SQL in relationship workflows

* test(cli): verify solid dialect scan workflow closure

* test: split cli tests from source tree

* refactor(cli): standardize BigQuery scope listing

* feat(sqlite): implement connector scope listing

* test(connectors): cover required table listing

* feat(cli): add warehouse driver registry

* refactor(setup): route scope discovery through driver registry

* refactor(cli): route local query execution through driver registry

* refactor(historic-sql): route dialect support through driver registry

* refactor(cli): test warehouse connections through driver registry

* fix(cli): close driver registry type export gaps

* Improve setup daemon diagnostics

* refactor(setup): centralize rail-prefixed diagnostics + query-history fallback

Extract errorMessage, writePrefixedLines, and flushPrefixedBufferedCommandOutput
into clack.ts so the setup wizard, managed daemons, and embedding/agent steps
share one rail-formatted writer. setup-databases.ts also adds a
"disable query history and retry" option when the schema-context build fails
and query history is the likely culprit, surfaced via a new
failed-query-history-unavailable status.

* fix(cli): carry catalog through the picker so BigQuery/Snowflake/SQL Server scope filters match

The setup picker's KtxTableListEntry was a 2-level { schema, name }, so
qualifiedTableId always wrote db.name into enabled_tables. When BigQuery,
Snowflake, or SQL Server later ran fast ingest, their introspect step filtered
the scope set with scopedTableNames(scope, { catalog: projectId|database, db })
— catalog was non-null on the introspect side but null in the scope refs, so
every entry was rejected, the live-database adapter staged zero table files,
and detect() failed with 'Adapter "live-database" did not recognize fetched
source output'.

Align the picker boundary with the canonical 3-level KtxTableRef:

- Add catalog: string | null to KtxTableListEntry.
- BigQuery/Snowflake/SQL Server listTables populate catalog from the
  resolved projectId / database; Postgres/MySQL/ClickHouse/SQLite set null.
- qualifiedTableId emits catalog.schema.name when catalog is non-null
  (resolveEnabledTables already accepts the 3-part shape) and
  schemasFromEnabledTables now goes through parseDottedTableEntry so it
  recovers the schema correctly from both 2-part and 3-part entries.
- Export parseDottedTableEntry from enabled-tables.ts (@internal) for picker
  reuse.

Update listTables expectations in all seven connector tests and the setup /
picker test fixtures. Add a picker regression test that covers the
catalog-bearing round-trip (save + refine).

* fix(cli): allow debug telemetry under opt-out env
2026-05-26 08:49:05 +02:00

125 lines
4.5 KiB
TypeScript

import { mkdir, mkdtemp, readFile, rm, writeFile } from 'node:fs/promises';
import { tmpdir } from 'node:os';
import { join } from 'node:path';
import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest';
import type { LookerRuntimeClient } from '../../../../../src/context/ingest/adapters/looker/fetch.js';
import { LookerSourceAdapter } from '../../../../../src/context/ingest/adapters/looker/looker.adapter.js';
const connectionId = '11111111-1111-4111-8111-111111111111';
function makeClient(): LookerRuntimeClient {
return {
listDashboards: vi.fn().mockResolvedValue([]),
getDashboard: vi.fn(),
listLooks: vi.fn().mockResolvedValue([]),
getLook: vi.fn(),
listFolders: vi.fn().mockResolvedValue({ folders: [] }),
listUsers: vi.fn().mockResolvedValue([]),
listGroups: vi.fn().mockResolvedValue([]),
listLookmlModels: vi.fn().mockResolvedValue({
models: [{ name: 'b2b', label: 'B2B', explores: [{ name: 'sales_pipeline', label: 'Sales Pipeline' }] }],
}),
getExplore: vi.fn().mockResolvedValue({
modelName: 'b2b',
exploreName: 'sales_pipeline',
label: 'Sales Pipeline',
description: null,
fields: { dimensions: [], measures: [] },
joins: [],
}),
};
}
describe('LookerSourceAdapter', () => {
let stagedDir: string;
beforeEach(async () => {
stagedDir = await mkdtemp(join(tmpdir(), 'looker-adapter-'));
});
afterEach(async () => {
await rm(stagedDir, { recursive: true, force: true });
});
it('exposes source="looker" and skillNames=["looker_ingest"]', () => {
const adapter = new LookerSourceAdapter({ clientFactory: { createClient: () => makeClient() } });
expect(adapter.source).toBe('looker');
expect(adapter.skillNames).toEqual(['looker_ingest']);
});
it('enables context evidence indexing and delegates triage signals', async () => {
const adapter = new LookerSourceAdapter({ clientFactory: { createClient: () => makeClient() } });
expect(adapter.evidenceIndexing).toBe('documents');
expect(adapter.triageSupported).toBe(true);
await expect(adapter.getTriageSignals?.(stagedDir, 'looker:dashboard:10')).resolves.toMatchObject({
objectType: 'looker_dashboard',
});
});
it('fetches, detects, and chunks a runtime bundle through the composed adapter', async () => {
const adapter = new LookerSourceAdapter({
clientFactory: { createClient: vi.fn().mockResolvedValue(makeClient()) },
now: () => new Date('2026-04-30T12:30:00.000Z'),
});
await mkdir(stagedDir, { recursive: true });
await adapter.fetch({ lookerConnectionId: connectionId }, stagedDir, { connectionId, sourceKey: 'looker' });
expect(await adapter.detect(stagedDir)).toBe(true);
expect(await readFile(join(stagedDir, 'explores/b2b/sales_pipeline.json'), 'utf-8')).toContain('sales_pipeline');
const result = await adapter.chunk(stagedDir);
expect(result.workUnits.map((wu) => wu.unitKey)).toEqual(['looker-explore-b2b-sales_pipeline']);
});
it('passes pull success notifications to the server callback', async () => {
const onPullSucceeded = vi.fn().mockResolvedValue(undefined);
const adapter = new LookerSourceAdapter({
clientFactory: { createClient: () => makeClient() },
onPullSucceeded,
});
const completedAt = new Date('2026-04-30T12:00:00.000Z');
await adapter.onPullSucceeded({
connectionId,
sourceKey: 'looker',
syncId: 'sync-1',
trigger: 'scheduled_pull',
completedAt,
stagedDir: '/tmp/staged',
});
expect(onPullSucceeded).toHaveBeenCalledWith({
connectionId,
sourceKey: 'looker',
syncId: 'sync-1',
trigger: 'scheduled_pull',
completedAt,
stagedDir: '/tmp/staged',
});
});
it('describes incremental fetch scope from the staged scope file', async () => {
await mkdir(join(stagedDir, 'dashboards'), { recursive: true });
await writeFile(
join(stagedDir, 'looker-scope.json'),
JSON.stringify(
{
mode: 'incremental',
knownCurrentRawPaths: ['dashboards/10.json', 'dashboards/11.json'],
fetchedRawPaths: ['dashboards/11.json'],
},
null,
2,
),
);
const adapter = new LookerSourceAdapter({ clientFactory: { createClient: () => makeClient() } });
const scope = await adapter.describeScope(stagedDir);
expect(scope.isPathInScope('dashboards/10.json')).toBe(false);
expect(scope.isPathInScope('dashboards/11.json')).toBe(true);
expect(scope.isPathInScope('dashboards/12.json')).toBe(true);
});
});