ktx/packages/cli/test/mcp-server-factory.test.ts
Andrey Avtomonov 56985b7e09
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

197 lines
6.6 KiB
TypeScript

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