2026-05-17 10:29:07 +02:00
|
|
|
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';
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|
|
|
import { parseKtxProjectConfig, serializeKtxProjectConfig } from '../src/context/project/config.js';
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import type { KtxScanConnector } from '../src/context/scan/types.js';
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import type { SqlAnalysisPort } from '../src/context/sql-analysis/ports.js';
|
2026-05-17 10:29:07 +02:00
|
|
|
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';
|
2026-05-17 10:29:07 +02:00
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|
2026-05-22 18:18:47 +02:00
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|
function makeIo(options: { isTTY?: boolean } = {}) {
|
2026-05-17 10:29:07 +02:00
|
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|
let stdout = '';
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|
let stderr = '';
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|
return {
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io: {
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|
stdout: {
|
2026-05-22 18:18:47 +02:00
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|
|
isTTY: options.isTTY,
|
2026-05-17 10:29:07 +02:00
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|
write: (chunk: string) => {
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|
stdout += chunk;
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|
},
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|
},
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|
stderr: {
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write: (chunk: string) => {
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|
stderr += chunk;
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|
},
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|
},
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},
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stdout: () => stdout,
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|
stderr: () => stderr,
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|
};
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}
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function makeSqlAnalysis(result: Awaited<ReturnType<SqlAnalysisPort['validateReadOnly']>>): SqlAnalysisPort {
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return {
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analyzeForFingerprint: vi.fn(),
|
2026-05-22 18:18:47 +02:00
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analyzeBatch: vi.fn(async () => new Map([['cli-sql', { tablesTouched: ['orders'], columnsByClause: {} }]])),
|
2026-05-17 10:29:07 +02:00
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|
validateReadOnly: vi.fn(async () => result),
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};
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}
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function makeConnector(overrides: Partial<KtxScanConnector> = {}): KtxScanConnector {
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return {
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id: 'sqlite:warehouse',
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driver: 'sqlite',
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capabilities: {
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structuralIntrospection: true,
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tableSampling: true,
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columnSampling: true,
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columnStats: true,
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readOnlySql: true,
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|
nestedAnalysis: false,
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|
|
eventStreamDiscovery: false,
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|
|
formalForeignKeys: true,
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|
|
estimatedRowCounts: true,
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|
},
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|
introspect: vi.fn(),
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|
|
executeReadOnly: vi.fn(async () => ({
|
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|
|
headers: ['id', 'status'],
|
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|
|
headerTypes: ['integer', 'text'],
|
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|
|
|
rows: [
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|
|
|
[1, 'paid'],
|
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|
|
|
[2, 'open'],
|
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|
|
|
],
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|
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|
totalRows: 2,
|
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|
rowCount: 2,
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|
|
})),
|
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|
|
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 () => []),
|
2026-05-17 10:29:07 +02:00
|
|
|
};
|
|
|
|
|
}
|
|
|
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|
|
|
|
|
|
describe('runKtxSql', () => {
|
|
|
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|
let tempDir: string;
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|
|
|
|
|
|
|
|
beforeEach(async () => {
|
|
|
|
|
tempDir = await mkdtemp(join(tmpdir(), 'ktx-cli-sql-'));
|
|
|
|
|
});
|
|
|
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|
|
|
|
|
|
afterEach(async () => {
|
2026-05-22 18:18:47 +02:00
|
|
|
vi.unstubAllEnvs();
|
2026-05-17 10:29:07 +02:00
|
|
|
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');
|
|
|
|
|
}
|
|
|
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|
|
|
|
|
|
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('');
|
|
|
|
|
});
|
|
|
|
|
|
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(*)');
|
|
|
|
|
});
|
|
|
|
|
|
2026-05-17 10:29:07 +02:00
|
|
|
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 () => {
|
|
|
|
|
const projectDir = join(tempDir, 'project');
|
|
|
|
|
await initKtxProject({ projectDir });
|
|
|
|
|
await writeConnections(projectDir, { warehouse: { driver: 'sqlite', path: 'warehouse.db' } });
|
|
|
|
|
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');
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
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.');
|
|
|
|
|
});
|
|
|
|
|
});
|