ktx/packages/cli/test/sql.test.ts

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import { mkdtemp, readFile, rm, writeFile } from 'node:fs/promises';
import { tmpdir } from 'node:os';
import { join } from 'node:path';
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
import { initKtxProject } from '../src/context/project/project.js';
import { parseKtxProjectConfig, serializeKtxProjectConfig } from '../src/context/project/config.js';
import type { KtxScanConnector } from '../src/context/scan/types.js';
import type { SqlAnalysisPort } from '../src/context/sql-analysis/ports.js';
import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest';
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
import { runKtxSql } from '../src/sql.js';
const reportExceptionMock = vi.hoisted(() => vi.fn(async () => {}));
vi.mock('../src/telemetry/exception.js', () => ({
reportException: reportExceptionMock,
}));
feat(telemetry): anonymous posthog usage telemetry across node cli and python daemon (#205) * feat: add telemetry phase 1 * feat: add node telemetry event catalog * feat: add telemetry event helpers * feat: emit setup and connection telemetry * feat: emit connection and stack telemetry * feat: emit ingest and scan telemetry * feat: emit query telemetry * feat: emit sampled mcp telemetry * docs: expand telemetry event catalog * feat: add telemetry schema sync artifact * feat: pass telemetry project id to semantic daemon * feat: add daemon telemetry foundation * feat: emit semantic daemon telemetry * feat: emit daemon lifecycle telemetry * docs: document full telemetry event catalog * feat(telemetry): dim first-run notice * feat(telemetry): show first-run notice before command output * feat(telemetry): wire ktx PostHog project for live ingestion * docs(telemetry): drop posthog project name and host from storage section * docs(telemetry): trim to general overview and disclaimer * docs(agents): add short telemetry guidelines * feat(telemetry): enable posthog geoip enrichment * docs(telemetry): drop ip-geoip note from public overview * refactor(telemetry): drop no-op groupIdentify, rely on capture groups field * fix(telemetry): respect CI kill switch in python daemon identity * fix(sql): route table-count analysis to existing analyze-batch endpoint * fix(telemetry): emit install_first_run from notice path and derive flagsPresent from commander * fix(telemetry): read package info via getKtxCliPackageInfo to satisfy boundary check * fix(telemetry): make python identity env={} bypass os.environ and unset CI in tests * fix(telemetry): unset CI kill switch in cli-program-telemetry tests
2026-05-22 18:18:47 +02:00
function makeIo(options: { isTTY?: boolean } = {}) {
let stdout = '';
let stderr = '';
return {
io: {
stdout: {
feat(telemetry): anonymous posthog usage telemetry across node cli and python daemon (#205) * feat: add telemetry phase 1 * feat: add node telemetry event catalog * feat: add telemetry event helpers * feat: emit setup and connection telemetry * feat: emit connection and stack telemetry * feat: emit ingest and scan telemetry * feat: emit query telemetry * feat: emit sampled mcp telemetry * docs: expand telemetry event catalog * feat: add telemetry schema sync artifact * feat: pass telemetry project id to semantic daemon * feat: add daemon telemetry foundation * feat: emit semantic daemon telemetry * feat: emit daemon lifecycle telemetry * docs: document full telemetry event catalog * feat(telemetry): dim first-run notice * feat(telemetry): show first-run notice before command output * feat(telemetry): wire ktx PostHog project for live ingestion * docs(telemetry): drop posthog project name and host from storage section * docs(telemetry): trim to general overview and disclaimer * docs(agents): add short telemetry guidelines * feat(telemetry): enable posthog geoip enrichment * docs(telemetry): drop ip-geoip note from public overview * refactor(telemetry): drop no-op groupIdentify, rely on capture groups field * fix(telemetry): respect CI kill switch in python daemon identity * fix(sql): route table-count analysis to existing analyze-batch endpoint * fix(telemetry): emit install_first_run from notice path and derive flagsPresent from commander * fix(telemetry): read package info via getKtxCliPackageInfo to satisfy boundary check * fix(telemetry): make python identity env={} bypass os.environ and unset CI in tests * fix(telemetry): unset CI kill switch in cli-program-telemetry tests
2026-05-22 18:18:47 +02:00
isTTY: options.isTTY,
write: (chunk: string) => {
stdout += chunk;
},
},
stderr: {
write: (chunk: string) => {
stderr += chunk;
},
},
},
stdout: () => stdout,
stderr: () => stderr,
};
}
function makeSqlAnalysis(result: Awaited<ReturnType<SqlAnalysisPort['validateReadOnly']>>): SqlAnalysisPort {
return {
analyzeForFingerprint: vi.fn(),
analyzeBatch: vi.fn(async () => new Map([['cli-sql', { tablesTouched: [{ catalog: null, db: null, name: 'orders' }], columnsByClause: {} }]])),
validateReadOnly: vi.fn(async () => result),
};
}
function makeConnector(overrides: Partial<KtxScanConnector> = {}): KtxScanConnector {
return {
id: 'sqlite:warehouse',
driver: 'sqlite',
capabilities: {
structuralIntrospection: true,
tableSampling: true,
columnSampling: true,
columnStats: true,
readOnlySql: true,
nestedAnalysis: false,
eventStreamDiscovery: false,
formalForeignKeys: true,
estimatedRowCounts: true,
},
introspect: vi.fn(),
executeReadOnly: vi.fn(async () => ({
headers: ['id', 'status'],
headerTypes: ['integer', 'text'],
rows: [
[1, 'paid'],
[2, 'open'],
],
totalRows: 2,
rowCount: 2,
})),
cleanup: vi.fn(async () => undefined),
...overrides,
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
listSchemas: overrides.listSchemas ?? vi.fn(async () => []),
listTables: overrides.listTables ?? vi.fn(async () => []),
};
}
describe('runKtxSql', () => {
let tempDir: string;
beforeEach(async () => {
tempDir = await mkdtemp(join(tmpdir(), 'ktx-cli-sql-'));
reportExceptionMock.mockClear();
});
afterEach(async () => {
feat(telemetry): anonymous posthog usage telemetry across node cli and python daemon (#205) * feat: add telemetry phase 1 * feat: add node telemetry event catalog * feat: add telemetry event helpers * feat: emit setup and connection telemetry * feat: emit connection and stack telemetry * feat: emit ingest and scan telemetry * feat: emit query telemetry * feat: emit sampled mcp telemetry * docs: expand telemetry event catalog * feat: add telemetry schema sync artifact * feat: pass telemetry project id to semantic daemon * feat: add daemon telemetry foundation * feat: emit semantic daemon telemetry * feat: emit daemon lifecycle telemetry * docs: document full telemetry event catalog * feat(telemetry): dim first-run notice * feat(telemetry): show first-run notice before command output * feat(telemetry): wire ktx PostHog project for live ingestion * docs(telemetry): drop posthog project name and host from storage section * docs(telemetry): trim to general overview and disclaimer * docs(agents): add short telemetry guidelines * feat(telemetry): enable posthog geoip enrichment * docs(telemetry): drop ip-geoip note from public overview * refactor(telemetry): drop no-op groupIdentify, rely on capture groups field * fix(telemetry): respect CI kill switch in python daemon identity * fix(sql): route table-count analysis to existing analyze-batch endpoint * fix(telemetry): emit install_first_run from notice path and derive flagsPresent from commander * fix(telemetry): read package info via getKtxCliPackageInfo to satisfy boundary check * fix(telemetry): make python identity env={} bypass os.environ and unset CI in tests * fix(telemetry): unset CI kill switch in cli-program-telemetry tests
2026-05-22 18:18:47 +02:00
vi.unstubAllEnvs();
await rm(tempDir, { recursive: true, force: true });
});
async function writeConnections(
projectDir: string,
connections: ReturnType<typeof parseKtxProjectConfig>['connections'],
): Promise<void> {
const config = parseKtxProjectConfig(await readFile(join(projectDir, 'ktx.yaml'), 'utf-8'));
await writeFile(join(projectDir, 'ktx.yaml'), serializeKtxProjectConfig({ ...config, connections }), 'utf-8');
}
it('validates SQL, executes through the scan connector, and prints a pretty table', async () => {
const projectDir = join(tempDir, 'project');
await initKtxProject({ projectDir });
await writeConnections(projectDir, { warehouse: { driver: 'sqlite', path: 'warehouse.db' } });
const sqlAnalysis = makeSqlAnalysis({ ok: true, error: null });
const connector = makeConnector();
const createScanConnector = vi.fn(async () => connector);
const io = makeIo();
await expect(
runKtxSql(
{
command: 'execute',
projectDir,
connectionId: 'warehouse',
sql: 'select id, status from orders',
maxRows: 1000,
output: 'pretty',
json: false,
cliVersion: '0.0.0-test',
},
io.io,
{
createSqlAnalysis: () => sqlAnalysis,
createScanConnector,
},
),
).resolves.toBe(0);
expect(sqlAnalysis.validateReadOnly).toHaveBeenCalledWith('select id, status from orders', 'sqlite');
expect(createScanConnector).toHaveBeenCalledWith(expect.objectContaining({ projectDir }), 'warehouse');
expect(connector.executeReadOnly).toHaveBeenCalledWith(
{ connectionId: 'warehouse', sql: 'select id, status from orders', maxRows: 1000 },
{ runId: 'cli-sql' },
);
expect(connector.cleanup).toHaveBeenCalledTimes(1);
expect(io.stdout()).toContain('id status');
expect(io.stdout()).toContain('1 paid');
expect(io.stdout()).toContain('2 open');
expect(io.stdout()).toContain('2 rows');
expect(io.stderr()).toBe('');
});
feat(telemetry): anonymous posthog usage telemetry across node cli and python daemon (#205) * feat: add telemetry phase 1 * feat: add node telemetry event catalog * feat: add telemetry event helpers * feat: emit setup and connection telemetry * feat: emit connection and stack telemetry * feat: emit ingest and scan telemetry * feat: emit query telemetry * feat: emit sampled mcp telemetry * docs: expand telemetry event catalog * feat: add telemetry schema sync artifact * feat: pass telemetry project id to semantic daemon * feat: add daemon telemetry foundation * feat: emit semantic daemon telemetry * feat: emit daemon lifecycle telemetry * docs: document full telemetry event catalog * feat(telemetry): dim first-run notice * feat(telemetry): show first-run notice before command output * feat(telemetry): wire ktx PostHog project for live ingestion * docs(telemetry): drop posthog project name and host from storage section * docs(telemetry): trim to general overview and disclaimer * docs(agents): add short telemetry guidelines * feat(telemetry): enable posthog geoip enrichment * docs(telemetry): drop ip-geoip note from public overview * refactor(telemetry): drop no-op groupIdentify, rely on capture groups field * fix(telemetry): respect CI kill switch in python daemon identity * fix(sql): route table-count analysis to existing analyze-batch endpoint * fix(telemetry): emit install_first_run from notice path and derive flagsPresent from commander * fix(telemetry): read package info via getKtxCliPackageInfo to satisfy boundary check * fix(telemetry): make python identity env={} bypass os.environ and unset CI in tests * fix(telemetry): unset CI kill switch in cli-program-telemetry tests
2026-05-22 18:18:47 +02:00
it('emits debug telemetry for SQL without raw query text', async () => {
vi.stubEnv('KTX_TELEMETRY_DEBUG', '1');
vi.stubEnv('CI', '');
const projectDir = join(tempDir, 'project');
await initKtxProject({ projectDir });
await writeConnections(projectDir, { warehouse: { driver: 'sqlite', path: 'warehouse.db' } });
const io = makeIo({ isTTY: true });
await expect(
runKtxSql(
{
command: 'execute',
projectDir,
connectionId: 'warehouse',
sql: 'select count(*) from orders',
maxRows: 10,
output: 'json',
json: true,
cliVersion: '0.0.0-test',
},
io.io,
{
createSqlAnalysis: () => makeSqlAnalysis({ ok: true, error: null }),
createScanConnector: vi.fn(async () => makeConnector()),
},
),
).resolves.toBe(0);
expect(io.stderr()).toContain('"event":"sql_completed"');
expect(io.stderr()).toContain('"queryVerb":"select"');
expect(io.stderr()).not.toContain('select count(*)');
});
it('prints JSON output', async () => {
const projectDir = join(tempDir, 'project');
await initKtxProject({ projectDir });
await writeConnections(projectDir, { warehouse: { driver: 'sqlite', path: 'warehouse.db' } });
const io = makeIo();
await expect(
runKtxSql(
{
command: 'execute',
projectDir,
connectionId: 'warehouse',
sql: 'select id from orders',
maxRows: 10,
output: undefined,
json: true,
cliVersion: '0.0.0-test',
},
io.io,
{
createSqlAnalysis: () => makeSqlAnalysis({ ok: true, error: null }),
createScanConnector: vi.fn(async () => makeConnector()),
},
),
).resolves.toBe(0);
expect(JSON.parse(io.stdout())).toEqual({
connectionId: 'warehouse',
headers: ['id', 'status'],
headerTypes: ['integer', 'text'],
rows: [
[1, 'paid'],
[2, 'open'],
],
rowCount: 2,
});
});
it('prints plain TSV output', async () => {
const projectDir = join(tempDir, 'project');
await initKtxProject({ projectDir });
await writeConnections(projectDir, { warehouse: { driver: 'sqlite', path: 'warehouse.db' } });
const io = makeIo();
await expect(
runKtxSql(
{
command: 'execute',
projectDir,
connectionId: 'warehouse',
sql: 'select id from orders',
maxRows: 10,
output: 'plain',
json: false,
cliVersion: '0.0.0-test',
},
io.io,
{
createSqlAnalysis: () => makeSqlAnalysis({ ok: true, error: null }),
createScanConnector: vi.fn(async () => makeConnector()),
},
),
).resolves.toBe(0);
expect(io.stdout()).toBe('id\tstatus\n1\tpaid\n2\topen\n');
expect(io.stderr()).toBe('');
});
it('rejects non-read-only SQL before executing connector SQL', async () => {
vi.stubEnv('SQL_DB_PASSWORD', 'sql-db-password'); // pragma: allowlist secret
const projectDir = join(tempDir, 'project');
await initKtxProject({ projectDir });
await writeConnections(projectDir, { warehouse: { driver: 'postgres', password: 'env:SQL_DB_PASSWORD' } }); // pragma: allowlist secret
const connector = makeConnector();
const io = makeIo();
await expect(
runKtxSql(
{
command: 'execute',
projectDir,
connectionId: 'warehouse',
sql: 'delete from orders',
maxRows: 1000,
output: 'pretty',
json: false,
cliVersion: '0.0.0-test',
},
io.io,
{
createSqlAnalysis: () => makeSqlAnalysis({ ok: false, error: 'SQL contains read/write operation: Delete' }),
createScanConnector: vi.fn(async () => connector),
},
),
).resolves.toBe(1);
expect(connector.executeReadOnly).not.toHaveBeenCalled();
expect(connector.cleanup).not.toHaveBeenCalled();
expect(io.stderr()).toContain('SQL contains read/write operation: Delete');
expect(reportExceptionMock).toHaveBeenCalledWith(
expect.objectContaining({
context: expect.objectContaining({ source: 'sql run', handled: true, fatal: false }),
projectDir,
redactionSecrets: expect.arrayContaining(['sql-db-password']),
}),
);
});
it('rejects missing connections', async () => {
const projectDir = join(tempDir, 'project');
await initKtxProject({ projectDir });
const io = makeIo();
await expect(
runKtxSql(
{
command: 'execute',
projectDir,
connectionId: 'warehouse',
sql: 'select 1',
maxRows: 1000,
output: 'pretty',
json: false,
cliVersion: '0.0.0-test',
},
io.io,
{
createSqlAnalysis: () => makeSqlAnalysis({ ok: true, error: null }),
},
),
).resolves.toBe(1);
expect(io.stderr()).toContain('Connection "warehouse" is not configured in ktx.yaml');
});
it('rejects connectors without read-only SQL support and still cleans up', async () => {
const projectDir = join(tempDir, 'project');
await initKtxProject({ projectDir });
await writeConnections(projectDir, { warehouse: { driver: 'sqlite', path: 'warehouse.db' } });
const connector = makeConnector({
capabilities: {
...makeConnector().capabilities,
readOnlySql: false,
},
});
const io = makeIo();
await expect(
runKtxSql(
{
command: 'execute',
projectDir,
connectionId: 'warehouse',
sql: 'select 1',
maxRows: 1000,
output: 'pretty',
json: false,
cliVersion: '0.0.0-test',
},
io.io,
{
createSqlAnalysis: () => makeSqlAnalysis({ ok: true, error: null }),
createScanConnector: vi.fn(async () => connector),
},
),
).resolves.toBe(1);
expect(connector.executeReadOnly).not.toHaveBeenCalled();
expect(connector.cleanup).toHaveBeenCalledTimes(1);
expect(io.stderr()).toContain('Connection "warehouse" does not support read-only SQL execution.');
});
});