2026-05-10 23:12:26 +02:00
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import { mkdir, mkdtemp, rm, writeFile } 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 type { KtxEmbeddingPort } from '../../../src/context/core/embedding.js';
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import { CandidateDedupService } from '../../../src/context/ingest/context-candidates/candidate-dedup.service.js';
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import { ContextEvidenceIndexService } from '../../../src/context/ingest/context-evidence/context-evidence-index.service.js';
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import { SqliteContextEvidenceStore } from '../../../src/context/ingest/context-evidence/sqlite-context-evidence-store.js';
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import type { DiffSet } from '../../../src/context/ingest/types.js';
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2026-05-10 23:12:26 +02:00
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describe('local ingest embedding providers with SQLite ingest stores', () => {
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let tempDir: string;
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let dbPath: string;
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let stagedDir: 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-local-ingest-embedding-'));
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dbPath = join(tempDir, '.ktx', 'db.sqlite');
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2026-05-10 23:12:26 +02:00
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stagedDir = join(tempDir, 'staged');
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await mkdir(join(stagedDir, 'pages', 'revenue'), { recursive: true });
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await writeFile(
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join(stagedDir, 'pages', 'revenue', 'metadata.json'),
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`${JSON.stringify({
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objectType: 'page',
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id: 'page-revenue',
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title: 'Revenue Policy',
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path: 'Revenue Policy',
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url: 'https://notion.test/revenue',
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parentId: null,
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lastEditedAt: '2026-04-30T12:00:00.000Z',
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properties: {},
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})}\n`,
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'utf8',
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);
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await writeFile(
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join(stagedDir, 'pages', 'revenue', 'page.md'),
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['# Approval', '', 'Owner approval is required before enterprise discounts are granted.', ''].join('\n'),
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'utf8',
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);
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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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2026-05-19 16:40:01 +02:00
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function embeddings(): KtxEmbeddingPort {
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return {
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maxBatchSize: 4,
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async computeEmbedding() {
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return [1, 0, 0];
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},
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async computeEmbeddingsBulk(texts) {
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return texts.map(() => [1, 0, 0]);
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},
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};
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2026-05-10 23:12:26 +02:00
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}
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it('indexes and searches context evidence using a package-owned local embedding provider', async () => {
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const store = new SqliteContextEvidenceStore({ dbPath });
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const embeddingPort = embeddings();
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const indexer = new ContextEvidenceIndexService({ store, embeddings: embeddingPort });
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const diffSet: DiffSet = {
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added: ['pages/revenue/metadata.json', 'pages/revenue/page.md'],
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modified: [],
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deleted: [],
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unchanged: [],
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};
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const summary = await indexer.indexStagedDir({
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stagedDir,
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runId: 'run-1',
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connectionId: 'docs',
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sourceKey: 'notion',
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syncId: 'sync-1',
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diffSet,
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currentHashes: new Map([
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['pages/revenue/metadata.json', 'metadata-hash'],
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['pages/revenue/page.md', 'page-hash'],
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]),
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});
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expect(summary).toMatchObject({
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documentsIndexed: 1,
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embeddingFailures: 0,
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});
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expect(summary.chunksIndexed).toBeGreaterThan(0);
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const queryText = [
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'Revenue Policy',
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'Revenue Policy',
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'Approval',
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'Owner approval is required before enterprise discounts are granted.',
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].join('\n');
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const queryEmbedding = await embeddingPort.computeEmbedding(queryText);
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const results = await store.searchRRF({
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connectionId: 'docs',
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sourceKey: 'notion',
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queryEmbedding,
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queryText,
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limit: 5,
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includeDeleted: false,
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currentRunId: 'run-1',
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});
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expect(results[0]?.title).toBe('Revenue Policy');
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expect(results[0]?.stableCitationKey).toContain('notion:page-revenue');
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expect(results[0]).toMatchObject({
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matchReasons: expect.arrayContaining(['semantic']),
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lanes: expect.arrayContaining([
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expect.objectContaining({ lane: 'semantic', status: 'available' }),
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expect.objectContaining({ lane: 'lexical', status: 'available' }),
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expect.objectContaining({ lane: 'token', status: 'available' }),
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]),
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});
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});
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it('deduplicates candidates using package-owned local embeddings and SQLite persistence', async () => {
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const store = new SqliteContextEvidenceStore({ dbPath });
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const embeddingPort = embeddings();
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const candidateBase = {
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runId: 'run-1',
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connectionId: 'docs',
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sourceKey: 'notion',
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topic: 'Enterprise discount approval',
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assertion: 'Owner approval is required before enterprise discounts are granted.',
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rationale: 'The source policy states that approval is required.',
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evidenceChunkIds: [],
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evidenceRefs: [],
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suggestedPageKey: 'revenue-policy',
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actionHint: 'create' as const,
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durabilityScore: 3,
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authorityScore: 3,
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reuseScore: 3,
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noveltyScore: 2,
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riskScore: 0,
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promotionScore: 11,
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status: 'pending' as const,
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rejectionReason: null,
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lane: 'full' as const,
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embedding: null,
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};
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await store.insertCandidate({ ...candidateBase, candidateKey: 'discount-policy-a' });
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await store.insertCandidate({ ...candidateBase, candidateKey: 'discount-policy-b' });
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const result = await new CandidateDedupService({
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store,
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embeddings: embeddingPort,
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settings: {
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enabled: true,
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topicSimilarityThreshold: -1,
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scoreAggregation: 'max',
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},
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}).deduplicateRun('run-1');
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expect(result.enabled).toBe(true);
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expect(result.embeddingFailures).toBe(0);
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expect(result.candidatesIn).toBe(2);
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expect(result.clustersOut).toBe(1);
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expect(result.mergedCount).toBe(1);
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});
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});
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