2026-05-10 23:12:26 +02:00
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import { access, mkdtemp, rm } from 'node:fs/promises';
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import { tmpdir } from 'node:os';
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import { join } from 'node:path';
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import { afterEach, beforeEach, describe, expect, it } from 'vitest';
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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
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import { SqliteSlSourcesIndex } from '../../../src/context/sl/sqlite-sl-sources-index.js';
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2026-05-10 23:12:26 +02:00
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describe('SqliteSlSourcesIndex', () => {
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let tempDir: string;
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let dbPath: string;
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beforeEach(async () => {
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2026-05-10 23:51:24 +02:00
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tempDir = await mkdtemp(join(tmpdir(), 'ktx-sqlite-sl-index-'));
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2026-05-10 23:12:26 +02:00
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dbPath = join(tempDir, 'db.sqlite');
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});
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afterEach(async () => {
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await rm(tempDir, { recursive: true, force: true });
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});
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2026-05-11 17:25:46 +02:00
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it('creates SQLite tables and searches indexed source text with FTS snippets', async () => {
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2026-05-10 23:12:26 +02:00
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const index = new SqliteSlSourcesIndex({ dbPath });
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await index.upsertSources('warehouse', [
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{
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sourceName: 'orders',
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searchText: 'orders table: public.orders measure: total_revenue sum(revenue) gross revenue',
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embedding: null,
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},
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{
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sourceName: 'tickets',
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searchText: 'tickets table: public.tickets measure: ticket_count count(*) support queue',
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embedding: null,
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},
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]);
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await expect(access(dbPath)).resolves.toBeUndefined();
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2026-05-11 17:25:46 +02:00
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const directResults = await index.search('warehouse', null, 'gross revenue', 10);
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expect(directResults).toEqual([
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2026-05-10 23:12:26 +02:00
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expect.objectContaining({
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sourceName: 'orders',
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rrfScore: expect.any(Number),
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2026-05-11 17:25:46 +02:00
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snippet: expect.stringContaining('<mark>'),
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}),
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]);
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expect(directResults[0]?.snippet).toContain('revenue');
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const lexicalCandidates = await index.searchLexicalCandidates({ queryText: 'gross revenue', limit: 10 });
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expect(lexicalCandidates).toEqual([
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expect.objectContaining({
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id: 'warehouse/orders',
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connectionId: 'warehouse',
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sourceName: 'orders',
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snippet: expect.stringContaining('<mark>'),
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2026-05-10 23:12:26 +02:00
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}),
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]);
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});
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it('reports existing search text and embedding presence', async () => {
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const index = new SqliteSlSourcesIndex({ dbPath });
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await index.upsertSources('warehouse', [
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{
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sourceName: 'orders',
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searchText: 'orders gross revenue',
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embedding: [0.1, 0.2, 0.3],
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},
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{
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sourceName: 'tickets',
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searchText: 'tickets support queue',
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embedding: null,
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},
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]);
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await expect(index.getExistingSearchTexts('warehouse')).resolves.toEqual(
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new Map([
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['orders', { searchText: 'orders gross revenue', hasEmbedding: true }],
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['tickets', { searchText: 'tickets support queue', hasEmbedding: false }],
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]),
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);
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});
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it('deletes stale, named, and connection-scoped rows from the FTS index', async () => {
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const index = new SqliteSlSourcesIndex({ dbPath });
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await index.upsertSources('warehouse', [
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{ sourceName: 'orders', searchText: 'orders revenue', embedding: null },
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{ sourceName: 'tickets', searchText: 'tickets support', embedding: null },
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]);
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await index.upsertSources('finance', [{ sourceName: 'invoices', searchText: 'invoices revenue', embedding: null }]);
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await index.deleteStale('warehouse', ['orders']);
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expect(await index.search('warehouse', null, 'support', 10)).toEqual([]);
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expect(await index.search('warehouse', null, 'revenue', 10)).toEqual([
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expect.objectContaining({ sourceName: 'orders' }),
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]);
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expect(await index.search('finance', null, 'revenue', 10)).toEqual([
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expect.objectContaining({ sourceName: 'invoices' }),
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]);
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await index.deleteByConnectionAndName('warehouse', 'orders');
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expect(await index.search('warehouse', null, 'revenue', 10)).toEqual([]);
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await index.deleteByConnection('finance');
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expect(await index.search('finance', null, 'revenue', 10)).toEqual([]);
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});
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2026-05-20 01:36:54 +02:00
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it('clear removes sources and dictionary rows for one connection only', async () => {
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const index = new SqliteSlSourcesIndex({ dbPath });
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await index.upsertSources('warehouse', [
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{ sourceName: 'orders', searchText: 'orders revenue paid', embedding: null },
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]);
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await index.upsertSources('finance', [
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{ sourceName: 'invoices', searchText: 'invoices revenue paid', embedding: null },
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]);
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await index.replaceDictionaryEntries('warehouse', [
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{ connectionId: 'warehouse', sourceName: 'orders', columnName: 'status', value: 'paid', cardinality: 1 },
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]);
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await index.replaceDictionaryEntries('finance', [
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{ connectionId: 'finance', sourceName: 'invoices', columnName: 'status', value: 'paid', cardinality: 1 },
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]);
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await expect(index.clear('warehouse')).resolves.toBe(1);
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expect(await index.search('warehouse', null, 'revenue', 10)).toEqual([]);
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expect(await index.search('finance', null, 'revenue', 10)).toEqual([
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expect.objectContaining({ sourceName: 'invoices' }),
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]);
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await expect(index.searchDictionaryCandidates({ connectionIds: ['warehouse'], queryText: 'paid', limit: 10 }))
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.resolves.toEqual([]);
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await expect(index.searchDictionaryCandidates({ connectionIds: ['finance'], queryText: 'paid', limit: 10 }))
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.resolves.toEqual([expect.objectContaining({ connectionId: 'finance', sourceName: 'invoices' })]);
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});
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2026-05-10 23:12:26 +02:00
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it('returns lane candidates with stable connection-scoped IDs', async () => {
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const index = new SqliteSlSourcesIndex({ dbPath });
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await index.upsertSources('warehouse', [
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{ sourceName: 'orders', searchText: 'orders gross revenue paid status', embedding: [1, 0] },
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]);
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await index.upsertSources('finance', [
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{ sourceName: 'orders', searchText: 'finance orders invoices', embedding: [0, 1] },
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]);
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await expect(index.searchLexicalCandidates({ queryText: 'gross revenue', limit: 25 })).resolves.toEqual([
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expect.objectContaining({
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id: 'warehouse/orders',
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connectionId: 'warehouse',
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sourceName: 'orders',
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rank: 1,
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rawScore: expect.any(Number),
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}),
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]);
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await expect(index.searchSemanticCandidates({ queryEmbedding: [0, 1], limit: 25 })).resolves.toEqual([
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expect.objectContaining({ id: 'finance/orders', connectionId: 'finance', sourceName: 'orders', rank: 1 }),
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expect.objectContaining({ id: 'warehouse/orders', connectionId: 'warehouse', sourceName: 'orders', rank: 2 }),
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]);
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});
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it('aggregates dictionary matches to one source-level lane candidate', async () => {
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const index = new SqliteSlSourcesIndex({ dbPath });
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await index.replaceDictionaryEntries('warehouse', [
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{ connectionId: 'warehouse', sourceName: 'orders', columnName: 'status', value: 'paid', cardinality: 3 },
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{ connectionId: 'warehouse', sourceName: 'orders', columnName: 'status', value: 'refunded', cardinality: 3 },
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{ connectionId: 'warehouse', sourceName: 'orders', columnName: 'channel', value: 'paid search', cardinality: 4 },
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{
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connectionId: 'warehouse',
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sourceName: 'tickets',
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columnName: 'priority',
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value: 'paid support',
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cardinality: 5,
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},
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]);
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await expect(index.searchDictionaryCandidates({ queryText: 'paid', limit: 25 })).resolves.toEqual([
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expect.objectContaining({
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id: 'warehouse/orders',
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connectionId: 'warehouse',
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sourceName: 'orders',
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rank: 1,
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matches: [
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{ column: 'channel', values: ['paid search'] },
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{ column: 'status', values: ['paid'] },
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],
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}),
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expect.objectContaining({
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id: 'warehouse/tickets',
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connectionId: 'warehouse',
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sourceName: 'tickets',
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rank: 2,
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matches: [{ column: 'priority', values: ['paid support'] }],
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}),
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]);
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});
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it('returns an empty result for blank or punctuation-only queries', async () => {
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const index = new SqliteSlSourcesIndex({ dbPath });
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await index.upsertSources('warehouse', [{ sourceName: 'orders', searchText: 'orders revenue', embedding: null }]);
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expect(await index.search('warehouse', null, ' ', 10)).toEqual([]);
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expect(await index.search('warehouse', null, '---', 10)).toEqual([]);
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});
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});
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