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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
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548 changed files with 5048 additions and 2228 deletions
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@ -1,205 +0,0 @@
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import { describe, expect, it, vi } from 'vitest';
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import {
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createManagedDaemonHttpJsonRunner,
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createManagedDaemonLookerTableIdentifierParser,
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createManagedDaemonSqlAnalysisPort,
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createManagedPythonDaemonBaseUrlResolver,
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managedDaemonDatabaseIntrospectionOptions,
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} from './managed-python-http.js';
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function io() {
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let stderr = '';
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return {
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io: {
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stdout: { write: vi.fn() },
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stderr: { write: (chunk: string) => (stderr += chunk) },
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},
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stderr: () => stderr,
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};
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}
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describe('createManagedPythonDaemonBaseUrlResolver', () => {
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it('ensures the core runtime, starts the daemon, reports the URL, and caches the result', async () => {
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const testIo = io();
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const ensureRuntime = vi.fn(async () => ({
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layout: {} as never,
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manifest: {} as never,
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}));
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const startDaemon = vi.fn(async () => ({
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status: 'started' as const,
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layout: {} as never,
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state: { pid: 1234 } as never,
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baseUrl: 'http://127.0.0.1:61234',
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}));
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const resolveBaseUrl = createManagedPythonDaemonBaseUrlResolver({
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cliVersion: '0.2.0',
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projectDir: '/work/proj',
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installPolicy: 'auto',
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io: testIo.io,
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ensureRuntime,
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startDaemon,
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});
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await expect(resolveBaseUrl()).resolves.toBe('http://127.0.0.1:61234');
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await expect(resolveBaseUrl()).resolves.toBe('http://127.0.0.1:61234');
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expect(ensureRuntime).toHaveBeenCalledTimes(1);
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expect(ensureRuntime).toHaveBeenCalledWith({
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cliVersion: '0.2.0',
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installPolicy: 'auto',
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io: testIo.io,
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feature: 'core',
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});
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expect(startDaemon).toHaveBeenCalledTimes(1);
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expect(startDaemon).toHaveBeenCalledWith({
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cliVersion: '0.2.0',
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projectDir: '/work/proj',
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features: ['core'],
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force: false,
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});
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expect(testIo.stderr()).toContain('Started KTX daemon: http://127.0.0.1:61234');
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});
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it('reports daemon reuse without reinstalling after the first resolved URL', async () => {
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const testIo = io();
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const ensureRuntime = vi.fn(async () => ({
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layout: {} as never,
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manifest: {} as never,
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}));
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const startDaemon = vi.fn(async () => ({
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status: 'reused' as const,
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layout: {} as never,
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state: { pid: 1234 } as never,
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baseUrl: 'http://127.0.0.1:61234',
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}));
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const resolveBaseUrl = createManagedPythonDaemonBaseUrlResolver({
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cliVersion: '0.2.0',
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projectDir: '/work/proj',
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installPolicy: 'never',
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io: testIo.io,
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ensureRuntime,
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startDaemon,
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});
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await expect(resolveBaseUrl()).resolves.toBe('http://127.0.0.1:61234');
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await expect(resolveBaseUrl()).resolves.toBe('http://127.0.0.1:61234');
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expect(ensureRuntime).toHaveBeenCalledTimes(1);
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expect(startDaemon).toHaveBeenCalledTimes(1);
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expect(testIo.stderr()).toContain('Using existing KTX daemon: http://127.0.0.1:61234');
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});
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});
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describe('createManagedDaemonHttpJsonRunner', () => {
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it('resolves the managed base URL lazily for each HTTP JSON request', async () => {
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const postJson = vi.fn(async () => ({ ok: true }));
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const runner = createManagedDaemonHttpJsonRunner({
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resolveBaseUrl: async () => 'http://127.0.0.1:61234',
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postJson,
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});
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await expect(runner('/sql/parse-table-identifier', { items: [] })).resolves.toEqual({ ok: true });
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expect(postJson).toHaveBeenCalledWith('http://127.0.0.1:61234', '/sql/parse-table-identifier', { items: [] });
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});
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});
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describe('KTX daemon ingest ports', () => {
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it('creates a Looker table parser backed by the KTX daemon runner', async () => {
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const requestJson = vi.fn(async () => ({
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results: {
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'model.explore': {
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ok: true,
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catalog: 'warehouse',
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schema: 'public',
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name: 'orders',
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canonical_table: 'public.orders',
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},
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},
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}));
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const parser = createManagedDaemonLookerTableIdentifierParser({ requestJson });
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await expect(
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parser.parse([{ key: 'model.explore', sql_table_name: 'public.orders', dialect: 'postgres' }]),
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).resolves.toEqual({
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'model.explore': {
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ok: true,
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catalog: 'warehouse',
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schema: 'public',
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name: 'orders',
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canonical_table: 'public.orders',
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},
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});
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expect(requestJson).toHaveBeenCalledWith('/sql/parse-table-identifier', {
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items: [{ key: 'model.explore', sql_table_name: 'public.orders', dialect: 'postgres' }],
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});
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});
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it('creates a SQL analysis port backed by the KTX daemon runner', async () => {
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const requestJson = vi.fn(async () => ({
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fingerprint: 'select-orders',
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normalized_sql: 'SELECT * FROM public.orders WHERE id = ?',
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tables_touched: ['public.orders'],
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literal_slots: [{ position: 1, type: 'number', example_value: '42' }],
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}));
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const sqlAnalysis = createManagedDaemonSqlAnalysisPort({ requestJson });
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await expect(sqlAnalysis.analyzeForFingerprint('SELECT * FROM public.orders WHERE id = 42', 'postgres')).resolves
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.toEqual({
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fingerprint: 'select-orders',
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normalizedSql: 'SELECT * FROM public.orders WHERE id = ?',
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tablesTouched: ['public.orders'],
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literalSlots: [{ position: 1, type: 'number', exampleValue: '42' }],
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});
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expect(requestJson).toHaveBeenCalledWith('/api/sql/analyze-for-fingerprint', {
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sql: 'SELECT * FROM public.orders WHERE id = 42',
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dialect: 'postgres',
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});
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});
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it('routes SQL batch analysis through the KTX daemon runner', async () => {
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const requestJson = vi.fn(async () => ({
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results: {
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orders: {
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tables_touched: ['public.orders'],
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columns_by_clause: { select: ['status'] },
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error: null,
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},
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},
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}));
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const sqlAnalysis = createManagedDaemonSqlAnalysisPort({ requestJson });
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await expect(sqlAnalysis.analyzeBatch([{ id: 'orders', sql: 'select status from public.orders' }], 'postgres'))
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.resolves.toEqual(
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new Map([
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[
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'orders',
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{
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tablesTouched: ['public.orders'],
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columnsByClause: { select: ['status'] },
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error: null,
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},
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],
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]),
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);
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expect(requestJson).toHaveBeenCalledWith('/sql/analyze-batch', {
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dialect: 'postgres',
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items: [{ id: 'orders', sql: 'select status from public.orders' }],
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});
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});
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it('returns live-database daemon request options backed by the managed runner', async () => {
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const requestJson = vi.fn(async () => ({
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connection_id: 'warehouse',
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tables: [],
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}));
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const options = managedDaemonDatabaseIntrospectionOptions({ requestJson });
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expect(options.requestJson).toBeDefined();
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await expect(options.requestJson?.('/database/introspect', { connection_id: 'warehouse' })).resolves.toEqual({
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connection_id: 'warehouse',
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tables: [],
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});
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expect(requestJson).toHaveBeenCalledWith('/database/introspect', { connection_id: 'warehouse' });
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});
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});
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