mirror of
https://github.com/Kaelio/ktx.git
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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
213 lines
7.4 KiB
TypeScript
213 lines
7.4 KiB
TypeScript
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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import { initKtxProject, type KtxLocalProject } from '../../../../../src/context/project/project.js';
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import { WarehouseCatalogService } from '../../../../../src/context/scan/warehouse-catalog.js';
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import type { ToolContext } from '../../../../../src/context/tools/base-tool.js';
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import { EntityDetailsTool } from '../../../../../src/context/ingest/tools/warehouse-verification/entity-details.tool.js';
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describe('EntityDetailsTool', () => {
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let tempDir: string;
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let project: KtxLocalProject;
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let tool: EntityDetailsTool;
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let context: ToolContext;
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beforeEach(async () => {
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tempDir = await mkdtemp(join(tmpdir(), 'ktx-entity-details-'));
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project = await initKtxProject({ projectDir: join(tempDir, 'project') });
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await seedLiveDatabaseScan();
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tool = new EntityDetailsTool(() => new WarehouseCatalogService({ fileStore: project.fileStore }));
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context = {
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sourceId: 'ingest',
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messageId: 'm1',
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userId: 'system',
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session: {
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allowedConnectionNames: new Set(['warehouse']),
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} as any,
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};
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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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async function seedLiveDatabaseScan(connectionId = 'warehouse', syncId = 'sync-1') {
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const root = `raw-sources/${connectionId}/live-database/${syncId}`;
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await project.fileStore.writeFile(
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`${root}/connection.json`,
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JSON.stringify({ connectionId, driver: 'postgres', extractedAt: '2026-05-12T00:00:00.000Z' }, null, 2),
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'ktx',
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'ktx@example.com',
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'seed connection',
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);
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await project.fileStore.writeFile(
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`${root}/tables/orders.json`,
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JSON.stringify(
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{
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catalog: null,
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db: 'public',
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name: 'orders',
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kind: 'table',
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comment: 'Customer orders',
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estimatedRows: 12,
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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: 'Order id',
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},
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{
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name: 'status',
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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: 'Order status',
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},
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],
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foreignKeys: [],
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},
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null,
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2,
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),
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'ktx',
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'ktx@example.com',
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'seed orders',
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);
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await project.fileStore.writeFile(
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`${root}/enrichment/relationship-profile.json`,
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JSON.stringify(
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{
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connectionId,
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driver: 'postgres',
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tables: [{ table: { catalog: null, db: 'public', name: 'orders' }, rowCount: 12 }],
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columns: {
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'orders.status': {
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table: { catalog: null, db: 'public', name: 'orders' },
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column: 'status',
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rowCount: 12,
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nullCount: 0,
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distinctCount: 2,
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nullRate: 0,
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sampleValues: ['paid', 'refunded'],
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},
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},
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},
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null,
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2,
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),
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'ktx',
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'ktx@example.com',
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'seed profile',
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);
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}
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it('returns scoped table detail for a display target', async () => {
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const result = await tool.call({ connectionId: 'warehouse', targets: [{ display: 'public.orders' }] }, context);
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expect(result.markdown).toContain('### public.orders');
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expect(result.markdown).toContain('- status (text, nullable=false)');
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expect(result.markdown).toContain('sample: ["paid","refunded"]');
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expect(result.structured.scanAvailable).toBe(true);
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expect(result.structured.resolved).toHaveLength(1);
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});
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it('resolves display targets that include a column name', async () => {
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const result = await tool.call(
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{ connectionId: 'warehouse', targets: [{ display: 'public.orders.status' }] },
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context,
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);
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expect(result.markdown).toContain('### public.orders');
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expect(result.markdown).toContain('- status (text, nullable=false)');
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expect(result.markdown).not.toContain('- id (integer');
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expect(result.structured.resolved).toHaveLength(1);
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expect(result.structured.resolved[0]?.columns.map((column) => column.name)).toEqual(['status']);
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});
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it('reports missing explicit columns instead of returning an empty column list', async () => {
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const result = await tool.call(
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{ connectionId: 'warehouse', targets: [{ display: 'public.orders.plan_tier' }] },
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context,
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);
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expect(result.markdown).toContain('Column not found in scan: public.orders.plan_tier');
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expect(result.markdown).toContain('Available columns: id, status');
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expect(result.structured.resolved).toHaveLength(0);
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expect(result.structured.missing).toHaveLength(1);
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});
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it('reports missing structured table targets in model-visible markdown', async () => {
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const result = await tool.call(
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{
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connectionId: 'warehouse',
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targets: [{ catalog: null, db: 'public', name: 'orderz' }],
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},
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context,
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);
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expect(result.markdown).toContain('Not found in scan: public.orderz');
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expect(result.markdown).toContain('Closest matches: orders');
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expect(result.structured.resolved).toHaveLength(0);
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expect(result.structured.missing).toHaveLength(1);
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});
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it('reports missing structured column targets in model-visible markdown', async () => {
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const result = await tool.call(
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{
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connectionId: 'warehouse',
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targets: [{ catalog: null, db: 'public', name: 'orders', column: 'plan_tier' }],
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},
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context,
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);
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expect(result.markdown).toContain('Column not found in scan: public.orders.plan_tier');
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expect(result.markdown).toContain('Available columns: id, status');
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expect(result.structured.resolved).toHaveLength(0);
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expect(result.structured.missing).toHaveLength(1);
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});
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it('returns a no-scan state distinct from not found', async () => {
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const result = await tool.call(
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{ connectionId: 'empty', targets: [{ display: 'public.orders' }] },
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{ ...context, session: { ...context.session!, allowedConnectionNames: new Set(['empty']) } },
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);
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expect(result.markdown).toContain('No live-database scan available for connection "empty"; run `ktx scan` first.');
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expect(result.structured.scanAvailable).toBe(false);
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});
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it('refuses out-of-scope connections', async () => {
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const result = await tool.call({ connectionId: 'billing', targets: [{ display: 'public.orders' }] }, context);
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expect(result.markdown).toContain('Connection "billing" is not available to this ingest stage.');
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expect(result.structured.scanAvailable).toBe(false);
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});
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it('uses connectionId as the public input field', async () => {
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const legacyConnectionField = ['connection', 'Name'].join('');
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expect(
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tool.parseInput({
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connectionId: 'warehouse',
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targets: [{ display: 'public.orders' }],
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}),
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).toEqual({
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connectionId: 'warehouse',
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targets: [{ display: 'public.orders' }],
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});
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expect(() =>
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tool.parseInput({
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[legacyConnectionField]: 'warehouse',
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targets: [{ display: 'public.orders' }],
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}),
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).toThrow();
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});
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});
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