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
197 lines
6.6 KiB
TypeScript
197 lines
6.6 KiB
TypeScript
import { beforeEach, describe, expect, it, vi } from 'vitest';
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import { createDefaultKtxMcpServer } from '../src/context/mcp/server.js';
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import { createLocalProjectMcpContextPorts } from '../src/context/mcp/local-project-ports.js';
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import { createLocalProjectMemoryIngest } from '../src/context/memory/local-memory.js';
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import { resolveProjectEmbeddingProvider } from '../src/embedding-resolution.js';
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import { createKtxCliScanConnector } from '../src/local-scan-connectors.js';
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import { createKtxMcpServerFactory } from '../src/mcp-server-factory.js';
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type FakeEmbeddingProvider = {
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maxBatchSize: number;
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embed(text: string): Promise<number[]>;
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embedMany(texts: string[]): Promise<number[][]>;
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};
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const mocks = vi.hoisted(() => ({
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queryExecutor: { execute: vi.fn() },
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semanticLayerCompute: { validateSources: vi.fn(), generateSources: vi.fn(), query: vi.fn() },
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sqlAnalysis: { analyzeForFingerprint: vi.fn(), analyzeBatch: vi.fn(), validateReadOnly: vi.fn() },
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memoryIngest: { ingest: vi.fn(), status: vi.fn(), waitForRun: vi.fn() },
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}));
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vi.mock('../src/context/llm/embedding-port.js', () => ({
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KtxIngestEmbeddingPortAdapter: class {
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readonly maxBatchSize: number;
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constructor(private readonly provider: FakeEmbeddingProvider) {
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this.maxBatchSize = provider.maxBatchSize;
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}
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computeEmbedding(text: string): Promise<number[]> {
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return this.provider.embed(text);
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}
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computeEmbeddingsBulk(texts: string[]): Promise<number[][]> {
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return this.provider.embedMany(texts);
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}
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},
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}));
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vi.mock('../src/context/mcp/server.js', () => ({
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createDefaultKtxMcpServer: vi.fn(() => ({ kind: 'mcp-server' })),
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}));
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vi.mock('../src/context/mcp/local-project-ports.js', () => ({
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createLocalProjectMcpContextPorts: vi.fn(() => ({ context_tool: { name: 'context_tool' } })),
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}));
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vi.mock('../src/context/memory/local-memory.js', () => ({
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createLocalProjectMemoryIngest: vi.fn(() => mocks.memoryIngest),
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}));
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vi.mock('../src/embedding-resolution.js', () => ({
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resolveProjectEmbeddingProvider: vi.fn(),
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}));
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vi.mock('../src/ingest-query-executor.js', () => ({
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createKtxCliIngestQueryExecutor: vi.fn(() => mocks.queryExecutor),
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}));
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vi.mock('../src/local-scan-connectors.js', () => ({
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createKtxCliScanConnector: vi.fn(() => ({ source: 'fake-scan-connector' })),
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}));
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vi.mock('../src/managed-python-command.js', () => ({
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createManagedPythonSemanticLayerComputePort: vi.fn(async () => mocks.semanticLayerCompute),
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}));
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vi.mock('../src/managed-python-http.js', () => ({
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createManagedDaemonSqlAnalysisPort: vi.fn(() => mocks.sqlAnalysis),
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}));
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const project = {
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projectDir: '/work/project',
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configPath: '/work/project/ktx.yaml',
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config: {},
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coreConfig: {},
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git: {},
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fileStore: {},
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};
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const io = {
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stdout: { write: vi.fn() },
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stderr: { write: vi.fn() },
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};
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describe('createKtxMcpServerFactory', () => {
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beforeEach(() => {
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vi.clearAllMocks();
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});
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it('passes a resolved embedding provider to MCP context ports and memory ingest', async () => {
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const provider = {
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maxBatchSize: 4,
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embed: vi.fn(async () => [0.2, 0.4]),
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embedMany: vi.fn(async () => [[0.2, 0.4]]),
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};
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vi.mocked(resolveProjectEmbeddingProvider).mockResolvedValue({ kind: 'configured', provider } as never);
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const factory = await createKtxMcpServerFactory({
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project: project as never,
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projectDir: project.projectDir,
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cliVersion: '0.5.0',
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io,
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});
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const contextOptions = vi.mocked(createLocalProjectMcpContextPorts).mock.calls[0][1] as {
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embeddingService: {
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computeEmbedding(text: string): Promise<number[]>;
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computeEmbeddingsBulk(texts: string[]): Promise<number[][]>;
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};
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queryExecutor: unknown;
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semanticLayerCompute: unknown;
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sqlAnalysis: unknown;
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localScan: {
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createConnector(connectionId: string): Promise<unknown>;
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};
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};
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await expect(contextOptions.embeddingService.computeEmbedding('gross revenue')).resolves.toEqual([0.2, 0.4]);
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await expect(contextOptions.embeddingService.computeEmbeddingsBulk(['gross revenue'])).resolves.toEqual([[0.2, 0.4]]);
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await expect(contextOptions.localScan.createConnector('warehouse')).resolves.toEqual({
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source: 'fake-scan-connector',
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});
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expect(provider.embed).toHaveBeenCalledWith('gross revenue');
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expect(provider.embedMany).toHaveBeenCalledWith(['gross revenue']);
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expect(createKtxCliScanConnector).toHaveBeenCalledWith(project, 'warehouse');
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expect(contextOptions).toMatchObject({
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queryExecutor: mocks.queryExecutor,
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semanticLayerCompute: mocks.semanticLayerCompute,
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sqlAnalysis: mocks.sqlAnalysis,
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});
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expect(createLocalProjectMemoryIngest).toHaveBeenCalledWith(
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project,
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expect.objectContaining({
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embeddingProvider: provider,
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queryExecutor: mocks.queryExecutor,
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semanticLayerCompute: mocks.semanticLayerCompute,
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}),
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);
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expect(factory()).toEqual({ kind: 'mcp-server' });
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expect(createDefaultKtxMcpServer).toHaveBeenCalledWith(
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expect.objectContaining({
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contextTools: expect.objectContaining({
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context_tool: { name: 'context_tool' },
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memoryIngest: mocks.memoryIngest,
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}),
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}),
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);
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});
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it('uses null embedding ports when no configured provider is available', async () => {
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vi.mocked(resolveProjectEmbeddingProvider).mockResolvedValue({ kind: 'managed-unavailable' } as never);
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await createKtxMcpServerFactory({
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project: project as never,
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projectDir: project.projectDir,
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cliVersion: '0.5.0',
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io,
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});
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expect(vi.mocked(createLocalProjectMcpContextPorts).mock.calls[0][1]).toMatchObject({
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embeddingService: null,
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});
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expect(createLocalProjectMemoryIngest).toHaveBeenCalledWith(
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project,
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expect.objectContaining({
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embeddingProvider: null,
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}),
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);
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});
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it('omits memory ingest and logs when memory ingest construction fails', async () => {
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vi.mocked(resolveProjectEmbeddingProvider).mockResolvedValue({ kind: 'disabled' } as never);
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vi.mocked(createLocalProjectMemoryIngest).mockImplementationOnce(() => {
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throw new Error('missing local memory prerequisites');
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});
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const factory = await createKtxMcpServerFactory({
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project: project as never,
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projectDir: project.projectDir,
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cliVersion: '0.5.0',
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io,
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});
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factory();
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expect(io.stderr.write).toHaveBeenCalledWith(
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'KTX MCP memory_ingest disabled: missing local memory prerequisites\n',
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);
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expect(createDefaultKtxMcpServer).toHaveBeenCalledWith(
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expect.objectContaining({
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contextTools: { context_tool: { name: 'context_tool' } },
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}),
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);
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});
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});
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