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* 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
49 lines
1.7 KiB
TypeScript
49 lines
1.7 KiB
TypeScript
import { describe, expect, it, vi } from 'vitest';
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import { KtxPostgresHistoricSqlQueryClient } from '../../../src/connectors/postgres/historic-sql-query-client.js';
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import type { KtxPostgresPoolConfig, KtxPostgresPoolFactory } from '../../../src/connectors/postgres/connector.js';
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describe('KtxPostgresHistoricSqlQueryClient', () => {
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it('executes parameterized read-only SQL through the native Postgres connector pool', async () => {
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const queryCalls: Array<{ sql: string; params?: unknown[] }> = [];
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const release = vi.fn();
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const end = vi.fn(async () => {});
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const poolFactory: KtxPostgresPoolFactory = {
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createPool(_config: KtxPostgresPoolConfig) {
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return {
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async connect() {
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return {
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async query(sql: string, params?: unknown[]) {
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queryCalls.push({ sql, params });
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return {
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fields: [{ name: 'answer', dataTypeID: 23 }],
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rows: [{ answer: 42 }],
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};
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},
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release,
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};
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},
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end,
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};
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},
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};
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const client = new KtxPostgresHistoricSqlQueryClient({
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connectionId: 'warehouse',
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connection: {
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driver: 'postgres',
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url: 'postgresql://readonly:secret@pg.example.test/warehouse', // pragma: allowlist secret
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},
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poolFactory,
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});
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await expect(client.executeQuery('SELECT $1::int AS answer', [42])).resolves.toEqual({
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headers: ['answer'],
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rows: [[42]],
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totalRows: 1,
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});
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expect(queryCalls).toEqual([{ sql: 'SELECT $1::int AS answer', params: [42] }]);
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await client.cleanup();
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expect(release).toHaveBeenCalledTimes(1);
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expect(end).toHaveBeenCalledTimes(1);
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});
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});
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