2026-05-10 23:12:26 +02:00
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import Database from 'better-sqlite3';
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import { writeFileSync } from 'node:fs';
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import { 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 { createSqliteLiveDatabaseIntrospection } from '../../../src/connectors/sqlite/live-database-introspection.js';
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import { isKtxSqliteConnectionConfig, KtxSqliteScanConnector, sqliteDatabasePathFromConfig } from '../../../src/connectors/sqlite/connector.js';
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import { tableRefSet } from '../../../src/context/scan/table-ref.js';
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2026-05-10 23:12:26 +02:00
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2026-05-10 23:51:24 +02:00
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describe('KtxSqliteScanConnector', () => {
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2026-05-10 23:12:26 +02:00
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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-connector-sqlite-'));
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2026-05-10 23:12:26 +02:00
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dbPath = join(tempDir, 'warehouse.db');
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const db = new Database(dbPath);
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db.exec(`
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PRAGMA foreign_keys = ON;
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CREATE TABLE customers (
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id INTEGER PRIMARY KEY,
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name TEXT NOT NULL,
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tier TEXT
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);
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CREATE TABLE orders (
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id INTEGER PRIMARY KEY,
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customer_id INTEGER NOT NULL,
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status TEXT,
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total NUMERIC,
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created_at TEXT,
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FOREIGN KEY(customer_id) REFERENCES customers(id)
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);
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CREATE VIEW recent_orders AS SELECT id, customer_id, status FROM orders;
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INSERT INTO customers (id, name, tier) VALUES (1, 'Ada', 'enterprise'), (2, 'Grace', 'growth');
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INSERT INTO orders (id, customer_id, status, total, created_at)
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VALUES (10, 1, 'paid', 42.5, '2026-04-28'), (11, 2, 'open', 9.5, '2026-04-29');
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`);
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db.close();
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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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it('resolves SQLite path configuration safely', () => {
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2026-05-10 23:51:24 +02:00
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const originalDatabaseUrl = process.env.KTX_SQLITE_TEST_URL;
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2026-05-10 23:12:26 +02:00
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const pointerPath = join(tempDir, 'sqlite-path.txt');
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2026-05-10 23:51:24 +02:00
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process.env.KTX_SQLITE_TEST_URL = `sqlite:${dbPath}`;
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2026-05-10 23:12:26 +02:00
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writeFileSync(pointerPath, dbPath, 'utf-8');
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try {
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2026-05-13 19:37:25 +02:00
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expect(isKtxSqliteConnectionConfig({ driver: 'sqlite', path: 'warehouse.db' })).toBe(true);
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expect(isKtxSqliteConnectionConfig({ driver: 'postgres', url: 'env:DATABASE_URL' })).toBe(false);
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2026-05-10 23:12:26 +02:00
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expect(
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sqliteDatabasePathFromConfig({
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connectionId: 'warehouse',
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projectDir: tempDir,
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2026-05-13 19:37:25 +02:00
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connection: { driver: 'sqlite', path: 'warehouse.db' },
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2026-05-10 23:12:26 +02:00
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}),
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).toBe(dbPath);
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expect(
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sqliteDatabasePathFromConfig({
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connectionId: 'warehouse',
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projectDir: tempDir,
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2026-05-13 19:37:25 +02:00
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connection: { driver: 'sqlite', url: 'env:KTX_SQLITE_TEST_URL' },
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2026-05-10 23:12:26 +02:00
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}),
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).toBe(dbPath);
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expect(
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sqliteDatabasePathFromConfig({
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connectionId: 'warehouse',
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projectDir: tempDir,
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2026-05-13 19:37:25 +02:00
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connection: { driver: 'sqlite', url: `file://${dbPath}` },
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2026-05-10 23:12:26 +02:00
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}),
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).toBe(dbPath);
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expect(
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sqliteDatabasePathFromConfig({
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connectionId: 'warehouse',
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projectDir: tempDir,
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2026-05-13 19:37:25 +02:00
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connection: { driver: 'sqlite', path: `file:${pointerPath}` },
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2026-05-10 23:12:26 +02:00
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}),
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).toBe(dbPath);
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2026-05-13 19:37:25 +02:00
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expect(
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2026-05-10 23:12:26 +02:00
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sqliteDatabasePathFromConfig({
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connectionId: 'warehouse',
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projectDir: tempDir,
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2026-05-13 19:37:25 +02:00
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connection: { driver: 'sqlite', path: 'warehouse.db' },
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2026-05-10 23:12:26 +02:00
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}),
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2026-05-13 19:37:25 +02:00
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).toBe(dbPath);
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2026-05-14 01:27:31 +02:00
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expect(() =>
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sqliteDatabasePathFromConfig({
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connectionId: 'warehouse',
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projectDir: tempDir,
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connection: { driver: 'sqlite', file_path: 'warehouse.db' },
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}),
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).toThrow('Native SQLite connector requires connections.warehouse.path or url');
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2026-05-10 23:12:26 +02:00
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} finally {
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if (originalDatabaseUrl === undefined) {
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2026-05-10 23:51:24 +02:00
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delete process.env.KTX_SQLITE_TEST_URL;
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2026-05-10 23:12:26 +02:00
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} else {
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2026-05-10 23:51:24 +02:00
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process.env.KTX_SQLITE_TEST_URL = originalDatabaseUrl;
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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('introspects schema, primary keys, row counts, views, and foreign keys', async () => {
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2026-05-10 23:51:24 +02:00
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const connector = new KtxSqliteScanConnector({
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2026-05-10 23:12:26 +02:00
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connectionId: 'warehouse',
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2026-05-13 19:37:25 +02:00
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connection: { driver: 'sqlite', path: dbPath },
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2026-05-10 23:12:26 +02:00
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now: () => new Date('2026-04-29T10:00:00.000Z'),
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});
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const snapshot = await connector.introspect(
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{ connectionId: 'warehouse', driver: 'sqlite' },
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{ runId: 'scan-run-1' },
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);
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expect(snapshot).toMatchObject({
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connectionId: 'warehouse',
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driver: 'sqlite',
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extractedAt: '2026-04-29T10:00:00.000Z',
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metadata: {
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file_path: dbPath,
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table_count: 3,
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total_columns: 11,
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},
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});
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expect(snapshot.tables.map((table) => [table.name, table.kind, table.estimatedRows])).toEqual([
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['customers', 'table', 2],
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['orders', 'table', 2],
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['recent_orders', 'view', null],
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]);
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expect(snapshot.tables.find((table) => table.name === 'customers')?.columns[0]).toMatchObject({
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name: 'id',
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nativeType: 'INTEGER',
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normalizedType: 'INTEGER',
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dimensionType: 'number',
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nullable: false,
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primaryKey: true,
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});
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expect(snapshot.tables.find((table) => table.name === 'orders')?.foreignKeys).toEqual([
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{
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fromColumn: 'customer_id',
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toCatalog: null,
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toDb: null,
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toTable: 'customers',
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toColumn: 'id',
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constraintName: null,
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},
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]);
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});
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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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it('lists schemaless tables and views for setup discovery', async () => {
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const connector = new KtxSqliteScanConnector({
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connectionId: 'warehouse',
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connection: { driver: 'sqlite', path: dbPath },
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});
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await expect(connector.listSchemas()).resolves.toEqual([]);
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await expect(connector.listTables(['ignored'])).resolves.toEqual([
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{ catalog: null, schema: '', name: 'customers', kind: 'table' },
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{ catalog: null, schema: '', name: 'orders', kind: 'table' },
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{ catalog: null, schema: '', name: 'recent_orders', kind: 'view' },
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]);
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});
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2026-05-10 23:12:26 +02:00
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it('runs samples, distinct values, statistics, and read-only SQL', async () => {
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2026-05-10 23:51:24 +02:00
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const connector = new KtxSqliteScanConnector({
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2026-05-10 23:12:26 +02:00
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connectionId: 'warehouse',
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2026-05-13 19:37:25 +02:00
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connection: { driver: 'sqlite', path: dbPath },
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2026-05-10 23:12:26 +02:00
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});
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await expect(
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connector.sampleTable(
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{ connectionId: 'warehouse', table: { catalog: null, db: null, name: 'orders' }, columns: ['id'], limit: 1 },
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{ runId: 'scan-run-1' },
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),
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).resolves.toEqual({ headers: ['id'], rows: [[10]], totalRows: 1 });
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await expect(
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connector.sampleColumn(
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{ connectionId: 'warehouse', table: { catalog: null, db: null, name: 'orders' }, column: 'status', limit: 5 },
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{ runId: 'scan-run-1' },
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),
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).resolves.toMatchObject({ values: ['paid', 'open'], nullCount: null, distinctCount: null });
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await expect(
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connector.getColumnDistinctValues(
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{ catalog: null, db: null, name: 'orders' },
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'status',
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{ maxCardinality: 5, limit: 10, sampleSize: 100 },
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),
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).resolves.toEqual({ values: ['open', 'paid'], cardinality: 2 });
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await expect(
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connector.executeReadOnly(
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{ connectionId: 'warehouse', sql: 'select id, status from orders order by id', maxRows: 1 },
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{ runId: 'scan-run-1' },
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),
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).resolves.toEqual({ headers: ['id', 'status'], rows: [[10, 'paid']], totalRows: 1, rowCount: 1 });
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await expect(
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connector.executeReadOnly({ connectionId: 'warehouse', sql: 'delete from orders' }, { runId: 'scan-run-1' }),
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).rejects.toThrow('Only read-only SELECT/WITH queries can be executed locally');
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await expect(
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connector.columnStats(
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{ connectionId: 'warehouse', table: { catalog: null, db: null, name: 'orders' }, column: 'status' },
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{ runId: 'scan-run-1' },
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),
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).resolves.toBeNull();
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});
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fix(snowflake): unblock multi-schema ingest and relationship discovery (#204)
* feat(setup): drop redundant Snowflake schema prompt; fall back to free-text on listSchemas failure
Snowflake setup previously asked for a single schema as free text, then
ran a multiselect against the discovered schemas — two schema questions
back-to-back, with the first being only a session bootstrap. The SDK's
`schema` is optional, so the bootstrap step is unnecessary.
- Remove the free-text Snowflake schema prompt; only pass `schema` to
snowflake-sdk when one is configured.
- When `listSchemas()` fails (e.g. role lacks SHOW SCHEMAS), prompt the
user for a comma-separated list, persist it as `schema_names`, and use
it as both the table-list filter and the multiselect default. Applies
to every driver with a scope-discovery spec, not just Snowflake.
- Update docs to lead with `schema_names`; keep `schema_name` as a
documented single-schema shorthand.
* fix(snowflake): keep introspecting when primary-key discovery is denied
The PK query joins INFORMATION_SCHEMA.TABLE_CONSTRAINTS and
INFORMATION_SCHEMA.KEY_COLUMN_USAGE, which require grants the
connection role may not have. Previously a 'SQL compilation error:
Object ANALYTICS.INFORMATION_SCHEMA.KEY_COLUMN_USAGE does not exist
or not authorized' aborted the entire introspect — schemas, columns,
and row counts were all discarded over a missing nice-to-have.
Wrap the constraint query in try/catch, log a one-line warning per
schema, and return an empty PK map. Columns end up with
primaryKey=false; relationship inference still has FK and profiling
to fall back on.
* fix(scan): unblock relationship discovery on Snowflake
Two adjacent bugs prevented the scan's relationship pipeline from producing
any joins on a Snowflake warehouse:
- relationship-profiling.ts fell through to a default `GROUP_CONCAT` branch
for unknown drivers. Snowflake has no GROUP_CONCAT, so every per-table
profile query failed with "Unknown function GROUP_CONCAT". Add an explicit
Snowflake branch that uses LISTAGG with a literal '\x1f' delimiter
(Snowflake requires the delimiter to be a constant, so CHR(31) is rejected).
- description-generation.ts destructured `connector.sampleTable` and
`connector.sampleColumn` into bare locals, losing the `this` binding when
the class-method connectors (Snowflake, Postgres, MySQL) were invoked.
Every sample call threw "Cannot read properties of undefined (reading
'assertConnection')" and degraded LLM descriptions to metadata-only
prompts. Call the methods through the connector instead.
Without these, even after the primary-key probe is allowed to fail softly,
the scan ends up with 0 validated relationships and an empty `joins:` block
in every shard YAML.
* test(scan): cover table-ref helpers
* feat(scan): plumb tableScope through live-database introspection port
* feat(scan): apply tableScope during metadata fetch
* feat(scan): enforce table scope at fetch boundary
* feat(scan): pool Snowflake sessions and batch enrichment for faster ingest (#206)
* feat(cli): add RSA key-pair auth option to Snowflake setup wizard
Extends the interactive Snowflake setup flow with an authentication-method
prompt (password vs RSA/JWT key-pair). The RSA branch collects a private-key
path (env/file/absolute) and an optional passphrase; the resulting connection
config records `authMethod: 'rsa'` with `privateKey` and `passphrase` instead
of `password`.
* feat(scan): pool Snowflake sessions
* fix(scan): reuse structural snapshots and cleanup connectors
* feat(scan): parallelize relationship profiling
* feat(scan): batch table description generation
* docs: document Snowflake ingest concurrency knobs
* fix(scan): close Snowflake ingest perf verification gaps
* fix(scan): keep batched description failure bounded
* feat(scan): dispatch query-history probes by connection driver
Extract historic-sql dialect resolution into a shared helper so the
status-project readiness check and the local ingest factory agree on
which connections enable query history and which probe to run. The
status command now picks the postgres/snowflake/bigquery probe based on
the connection's driver instead of always reporting against postgres,
which previously caused snowflake connections with queryHistory.enabled
to surface a misleading "driver is snowflake" failure.
Also drops a noisy console.warn from Snowflake primary-key discovery —
INFORMATION_SCHEMA.KEY_COLUMN_USAGE is commonly ungranted for read-only
roles and the FK + profiling paths handle the empty PK map already.
* fix(llm): allow StructuredOutput tool and raise maxTurns for generateObject
The Claude Code agent SDK announces an internal pseudo-tool named
StructuredOutput in the system/init message whenever outputFormat is set
to { type: 'json_schema' }. The runtime's isolation check built its
allowedToolIds set only from MCP tool ids and treated StructuredOutput
as an unexpected host-injected tool, so every generateObject call threw
"Claude Code runtime isolation failed: tools=StructuredOutput ..." and
the table-descriptions and relationship-LLM-proposal enrichment stages
recorded null output across the board.
Whitelist StructuredOutput specifically in generateObject's
allowedToolIds — the check also enforces missing_tools symmetry, so
generateText and runAgentLoop, which do not see StructuredOutput, must
not require it.
generateObject also ran with maxTurns: 1, which the model intermittently
breached when it emitted thinking text before the structured response.
Raised to 5 to give the schema-bound call enough headroom without
allowing unbounded loops. The existing tests now exercise the path with
an init message that announces StructuredOutput so the regression cannot
slip back in.
* chore(scripts): add ktx-reset.sh project-cleanup helper
Convenience script for repeatable ingest testing: takes a project
directory and prunes everything except ktx.yaml and .ktx/secrets/, so
the next ktx setup or ktx ingest run starts from a known-clean state.
2026-05-23 10:41:30 +02:00
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it('limits introspection to tables in tableScope', async () => {
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const connector = new KtxSqliteScanConnector({
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connectionId: 'warehouse',
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connection: { driver: 'sqlite', path: dbPath },
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});
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const scope = tableRefSet([{ catalog: null, db: null, name: 'orders' }]);
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const snapshot = await connector.introspect(
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{ connectionId: 'warehouse', driver: 'sqlite', tableScope: scope },
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{ runId: 'scope-test' },
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);
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expect(snapshot.tables.map((table) => table.name)).toEqual(['orders']);
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});
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2026-05-10 23:12:26 +02:00
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it('adapts native SQLite snapshots to live-database introspection for local ingest', async () => {
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const introspection = createSqliteLiveDatabaseIntrospection({
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projectDir: tempDir,
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connections: {
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2026-05-13 19:37:25 +02:00
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warehouse: { driver: 'sqlite', path: 'warehouse.db' },
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2026-05-10 23:12:26 +02:00
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},
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now: () => new Date('2026-04-29T10:00:00.000Z'),
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});
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const snapshot = await introspection.extractSchema('warehouse');
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expect(snapshot).toMatchObject({
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connectionId: 'warehouse',
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extractedAt: '2026-04-29T10:00:00.000Z',
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});
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expect(snapshot.tables.find((table) => table.name === 'customers')).toMatchObject({
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name: 'customers',
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catalog: null,
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db: null,
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columns: [
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{
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name: 'id',
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nativeType: 'INTEGER',
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normalizedType: 'INTEGER',
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dimensionType: 'number',
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nullable: false,
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primaryKey: true,
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comment: null,
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},
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{
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name: 'name',
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nativeType: 'TEXT',
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normalizedType: 'TEXT',
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dimensionType: 'string',
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nullable: false,
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primaryKey: false,
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comment: null,
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},
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{
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name: 'tier',
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nativeType: 'TEXT',
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normalizedType: 'TEXT',
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dimensionType: 'string',
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nullable: true,
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primaryKey: false,
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comment: null,
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},
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],
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foreignKeys: [],
|
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|
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});
|
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expect(snapshot.tables.find((table) => table.name === 'orders')).toMatchObject({
|
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name: 'orders',
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catalog: null,
|
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db: null,
|
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foreignKeys: [{ fromColumn: 'customer_id', toTable: 'customers', toColumn: 'id' }],
|
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});
|
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});
|
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});
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