ktx/packages/cli/src/context/scan/entity-details.test.ts

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feat(mcp):added MCP server (#97) * docs(specs): design research-agent MCP tools and ktx mcp daemon Adds the 2026-05-14 design spec for exposing four new MCP tools (discover_data, entity_details, dictionary_search, sql_execution), shipping a ktx-research skill, and introducing an HTTP-only ktx mcp daemon so external agents can use KTX as a research-capable context layer. * Refine research-agent MCP tools spec after adversarial review iteration 1 * Refine research-agent MCP tools spec after adversarial review iteration 2 * Refine research-agent MCP tools spec after adversarial review iteration 3 * Refine spec: drop connectionName compat carve-out and ground summary/snippet provenance per kind * feat(daemon): validate read-only SQL with sqlglot * feat(context): expose read-only SQL validation port * feat(context): register MCP sql execution tool * feat(context): execute MCP SQL through validated connector path * test(context): update SQL analysis port fixtures * docs: add research-agent MCP sql execution foundation plan * feat(context): add scan-backed entity details service * feat(context): register MCP entity details tool * feat(context): expose local MCP entity details * test(context): align entity details scan fixtures * docs: add research-agent MCP entity_details plan * feat(context): add dictionary search service * feat(context): register MCP dictionary search tool * feat(context): expose local MCP dictionary search * docs: add research-agent MCP dictionary_search plan * feat: add MCP discover data service * feat: expose discover data MCP tool * feat: wire local discover data MCP port * docs: add research-agent MCP discover_data plan * feat(cli): add mcp http security helpers * feat(cli): host mcp over streamable http * feat(cli): manage mcp daemon lifecycle * feat(cli): add ktx mcp commands * fix(cli): stabilize mcp daemon verification * docs: add research-agent MCP http daemon plan * feat(cli): install KTX research skill * feat(cli): configure MCP clients in setup agents * feat(cli): support Claude local MCP setup scope * docs: add research-agent MCP setup-agents plan * refactor(context): use connectionId in warehouse verification tools * docs(context): update ingest verification prompts for connectionId * docs: add research-agent MCP ingest contract convergence plan * chore: build runtime artifacts in conductor setup --------- Co-authored-by: Andrey Avtomonov <7889985+andreybavt@users.noreply.github.com>
2026-05-15 02:35:09 +02:00
import { mkdtemp, rm } from 'node:fs/promises';
import { tmpdir } from 'node:os';
import { join } from 'node:path';
import { afterEach, beforeEach, describe, expect, it } from 'vitest';
chore(workspace): gate dead-code with knip production mode (#196) * refactor(workspace): relocate @ktx/llm source into packages/cli/src/llm * refactor(workspace): rewrite @ktx/llm imports to relative paths * refactor(workspace): fold internal packages into cli * chore(workspace): gate dead-code with knip production mode Turn on production-mode knip plus an autofix run in pre-commit and the `pnpm dead-code` script, document the `/** @internal */` convention for test-only exports in AGENTS.md, annotate test-only exports across the CLI with that JSDoc, and drop dead exports/wrappers the new gate surfaced (e.g. `cli-project.ts`, `lookerRuntimeSourceToFileAdapterSource`, `createLocalScanEnrichmentProvidersFromConfig`, `PGLITE_OWNER_PROCESS_BACKEND_CAPABILITIES`, stale type re-exports). Replace the loose `ignoreIssues` allowlist in `knip.json` with explicit production entries so cross-package barrel leaks are caught. * refactor(cli): delete internal barrel index.ts files The 34 `index.ts` re-export barrels inside `packages/cli/src/` were holdovers from the pre-fold multi-workspace structure. Post-fold-in they served no production purpose: external consumers go through the single package main entry, and in-repo callers mostly imported through them only because the path was short. Internally, knip flagged most barrel re-exports as production-dead (only reached via tests). This change: - Deletes every internal barrel except `packages/cli/src/index.ts` (the published package entry). - Rewrites ~270 source/test files to import each name directly from the file that defines it. - Moves `tools/warehouse-verification/index.ts` to `create-warehouse-verification-tools.ts` (the function it defined locally) and updates its single consumer. - Renames `search/backend-conformance.ts` → `.test-utils.ts` to match the existing test-helper file convention. - Deletes 13 dead test-only chains (dbt-descriptions/*, live-database/extracted-schema, live-database/structural-sync, relationship-* feedback/review chain) plus their tests and a cascading orphan integration test. - Updates test mocks that pointed at deleted barrel paths (notion-client, connector barrels in scan/local-scan-connectors tests) to mock the source files instead. - Points the maintainer benchmark script (`scripts/relationship-benchmark-report.mjs`) at source files instead of `dist/context/scan/index.js`. - Drops the barrel `!` entries from `knip.json`; adds explicit production entries only for the benchmark code reached via dist by the maintainer script. Net: 413 files changed, ~1.2k insertions, ~9.4k deletions. `pnpm run dead-code` (Biome + knip default + knip production) and `pnpm run type-check` are clean; 2277 tests pass. * refactor(workspace): rename @ktx/cli to @kaelio/ktx and pack it directly Promote the CLI workspace package to the public name `@kaelio/ktx` and drop the separate `scripts/build-public-npm-package.mjs` wrapper. The CLI package is now publishable in place (`publishConfig.access: public`, `provenance: true`), so artifact packing uses `pnpm pack` against `packages/cli/` instead of assembling a parallel package tree. Updates all workspace filter invocations, docs, tests, and release readiness checks to reference the new package name, and folds the tarball-name helper into `scripts/public-npm-release-metadata.mjs`. * docs: align "agent clients" and "data agents" terminology Replace "client agents" with "agent clients" and "database agents" with "data agents" across AGENTS.md, README.md, the docs-site copy, and the matching setup-agents test description, matching the canonical vocabulary in docs/terminology.md. Also moves packages/cli/tsconfig.json's tsBuildInfoFile from node_modules/.cache/ to dist/.tsbuildinfo so incremental builds survive node_modules reinstalls. * refactor(release): single source of truth for package version Make packages/cli/package.json the single source of truth for the @kaelio/ktx version. publicNpmPackageVersion() now reads it directly, so artifact filenames, release-readiness checks, and the Python wheel version all derive from one field. The duplicate release-policy.json.publicNpmPackageVersion is removed. Previously the two fields could drift: tarballs were named kaelio-ktx-0.4.1.tgz while internally containing @kaelio/ktx@0.0.0-private. - update-public-release-version.mjs rewrites both Python pyproject.toml files (ktx-daemon, ktx-sl) alongside the npm package.jsons, normalizing the version for PEP 440 (e.g. 0.1.0-rc.2 -> 0.1.0rc2). - semantic-release-config.cjs adds the two pyproject.toml files to @semantic-release/git assets so the release commit back to main carries every version source in lockstep. - The six "?? '0.0.0-private'" fallback literals across the CLI are replaced with "?? getKtxCliPackageInfo().version", and createDefaultKtxMcpServer makes its version arg required. - docs/release.md describes the actual commit-back model: the dev tree always reflects the most recent release; no sentinel pin to maintain. Verified: pnpm run artifacts:build now produces kaelio-ktx-0.4.1.tgz and kaelio_ktx-0.4.1-py3-none-any.whl with @kaelio/ktx@0.4.1 inside. Full type-check, dead-code, and 2287 vitests + 173 script tests pass. * refactor(cli): inject embedding provider resolution and detect sentence-transformers runtime Make resolveProjectEmbeddingProvider and runtimeIo injectable in ingest and scan command entrypoints so tests can stub them, and teach resolvePublicIngestRuntimeRequirements to flag the local-embeddings runtime feature when ktx.yaml selects sentence-transformers. * chore(cli): mark buildLocalStatsStatus and LocalStatsStatus as @internal Both symbols are consumed only by status-project.test.ts. Annotating with /** @internal */ keeps knip's production-mode check clean without changing runtime behavior. * fix(cli): use real package metadata in print-command-tree The stubbed package name embedded a forbidden product identifier that tripped the boundary check in CI. Read the metadata from package.json instead — keeps the rendered tree unchanged and removes a duplicate source of truth. * feat(cli): show embedding coverage in `ktx status`, drop duplicate disk counts Inline `(N embedded)` next to the Wiki scope counts and Semantic-layer source counts, computed with `SUM(embedding_json IS NOT NULL)` over `knowledge_pages` and `local_sl_sources`. Rename the "Knowledge" label to "Wiki" (canonical per `docs/terminology.md`) and rename the matching `localStats.knowledgePages` field to `localStats.wikiPages`. Drop `wiki=N md` and `semantic-layer=N yaml` from the Disk row — those duplicated the per-surface rows above. Disk now reports only actual byte usage (db, cache, raw-sources). The unused `wikiGlobalMarkdownCount` / `semanticLayerYamlCount` fields, the `isMarkdownEntry` / `isYamlEntry` helpers, and the `filter` arg on `summarizeDir` are removed.
2026-05-21 15:28:58 +02:00
import { initKtxProject, type KtxLocalProject } from '../../context/project/project.js';
feat(mcp):added MCP server (#97) * docs(specs): design research-agent MCP tools and ktx mcp daemon Adds the 2026-05-14 design spec for exposing four new MCP tools (discover_data, entity_details, dictionary_search, sql_execution), shipping a ktx-research skill, and introducing an HTTP-only ktx mcp daemon so external agents can use KTX as a research-capable context layer. * Refine research-agent MCP tools spec after adversarial review iteration 1 * Refine research-agent MCP tools spec after adversarial review iteration 2 * Refine research-agent MCP tools spec after adversarial review iteration 3 * Refine spec: drop connectionName compat carve-out and ground summary/snippet provenance per kind * feat(daemon): validate read-only SQL with sqlglot * feat(context): expose read-only SQL validation port * feat(context): register MCP sql execution tool * feat(context): execute MCP SQL through validated connector path * test(context): update SQL analysis port fixtures * docs: add research-agent MCP sql execution foundation plan * feat(context): add scan-backed entity details service * feat(context): register MCP entity details tool * feat(context): expose local MCP entity details * test(context): align entity details scan fixtures * docs: add research-agent MCP entity_details plan * feat(context): add dictionary search service * feat(context): register MCP dictionary search tool * feat(context): expose local MCP dictionary search * docs: add research-agent MCP dictionary_search plan * feat: add MCP discover data service * feat: expose discover data MCP tool * feat: wire local discover data MCP port * docs: add research-agent MCP discover_data plan * feat(cli): add mcp http security helpers * feat(cli): host mcp over streamable http * feat(cli): manage mcp daemon lifecycle * feat(cli): add ktx mcp commands * fix(cli): stabilize mcp daemon verification * docs: add research-agent MCP http daemon plan * feat(cli): install KTX research skill * feat(cli): configure MCP clients in setup agents * feat(cli): support Claude local MCP setup scope * docs: add research-agent MCP setup-agents plan * refactor(context): use connectionId in warehouse verification tools * docs(context): update ingest verification prompts for connectionId * docs: add research-agent MCP ingest contract convergence plan * chore: build runtime artifacts in conductor setup --------- Co-authored-by: Andrey Avtomonov <7889985+andreybavt@users.noreply.github.com>
2026-05-15 02:35:09 +02:00
import { createKtxEntityDetailsService } from './entity-details.js';
import type { KtxConnectionDriver, KtxScanReport, KtxSchemaTable } from './types.js';
describe('createKtxEntityDetailsService', () => {
let tempDir: string;
let project: KtxLocalProject;
beforeEach(async () => {
tempDir = await mkdtemp(join(tmpdir(), 'ktx-entity-details-service-'));
project = await initKtxProject({ projectDir: join(tempDir, 'project') });
});
afterEach(async () => {
await rm(tempDir, { recursive: true, force: true });
});
function scanReport(input: {
connectionId: string;
syncId: string;
runId: string;
driver?: KtxConnectionDriver;
createdAt?: string;
}): KtxScanReport {
const rawSourcesDir = `raw-sources/${input.connectionId}/live-database/${input.syncId}`;
return {
connectionId: input.connectionId,
driver: input.driver ?? 'postgres',
syncId: input.syncId,
runId: input.runId,
trigger: 'mcp',
mode: 'structural',
dryRun: false,
artifactPaths: {
rawSourcesDir,
reportPath: `${rawSourcesDir}/scan-report.json`,
manifestShards: [],
enrichmentArtifacts: [],
},
diffSummary: {
tablesAdded: 0,
tablesModified: 0,
tablesDeleted: 0,
tablesUnchanged: 1,
columnsAdded: 0,
columnsModified: 0,
columnsDeleted: 0,
},
manifestShardsWritten: 0,
structuralSyncStats: {
tablesCreated: 1,
tablesUpdated: 0,
tablesDeleted: 0,
columnsCreated: 0,
columnsUpdated: 0,
columnsDeleted: 0,
},
enrichment: {
dataDictionary: 'skipped',
tableDescriptions: 'skipped',
columnDescriptions: 'skipped',
embeddings: 'skipped',
deterministicRelationships: 'skipped',
llmRelationshipValidation: 'skipped',
statisticalValidation: 'skipped',
},
capabilityGaps: [],
warnings: [],
relationships: { accepted: 0, review: 0, rejected: 0, skipped: 0 },
enrichmentState: { resumedStages: [], completedStages: [], failedStages: [] },
createdAt: input.createdAt ?? '2026-05-14T09:00:00.000Z',
};
}
function ordersTable(input: { db?: string | null; estimatedRows?: number | null } = {}): KtxSchemaTable {
return {
catalog: null,
db: input.db ?? 'public',
name: 'orders',
kind: 'table',
comment: 'Customer orders',
estimatedRows: input.estimatedRows ?? 12,
columns: [
{
name: 'id',
nativeType: 'integer',
normalizedType: 'integer',
dimensionType: 'number',
nullable: false,
primaryKey: true,
comment: 'Order id',
},
{
name: 'status',
nativeType: 'text',
normalizedType: 'text',
dimensionType: 'string',
nullable: false,
primaryKey: false,
comment: 'Order status',
},
],
foreignKeys: [
{
fromColumn: 'customer_id',
toCatalog: null,
toDb: 'public',
toTable: 'customers',
toColumn: 'id',
constraintName: 'orders_customer_id_fkey',
},
],
};
}
async function seedScan(input: {
connectionId?: string;
syncId: string;
runId: string;
driver?: KtxConnectionDriver;
extractedAt?: string;
tables?: KtxSchemaTable[];
}): Promise<void> {
const connectionId = input.connectionId ?? 'warehouse';
const report = scanReport({
connectionId,
syncId: input.syncId,
runId: input.runId,
driver: input.driver,
createdAt: input.extractedAt,
});
const root = report.artifactPaths.rawSourcesDir;
await project.fileStore.writeFile(
`${root}/connection.json`,
JSON.stringify(
{
connectionId,
driver: report.driver,
extractedAt: input.extractedAt ?? report.createdAt,
scope: { schemas: ['public'] },
},
null,
2,
),
'ktx',
'ktx@example.com',
'seed connection',
);
for (const table of input.tables ?? [ordersTable()]) {
await project.fileStore.writeFile(
`${root}/tables/${table.db ?? 'default'}-${table.name}.json`,
JSON.stringify(table, null, 2),
'ktx',
'ktx@example.com',
`seed ${table.name}`,
);
}
await project.fileStore.writeFile(
`${root}/scan-report.json`,
JSON.stringify(report, null, 2),
'ktx',
'ktx@example.com',
'seed scan report',
);
}
it('returns the latest scan snapshot table details for a display string', async () => {
await seedScan({ syncId: 'sync-1', runId: 'scan-old', extractedAt: '2026-05-14T08:00:00.000Z' });
await seedScan({
syncId: 'sync-2',
runId: 'scan-new',
extractedAt: '2026-05-14T09:00:00.000Z',
tables: [ordersTable({ estimatedRows: 99 })],
});
const service = createKtxEntityDetailsService(project);
const result = await service.read({
connectionId: 'warehouse',
entities: [{ table: 'public.orders' }],
});
expect(result.results).toHaveLength(1);
expect(result.results[0]).toMatchObject({
ok: true,
connectionId: 'warehouse',
display: 'public.orders',
estimatedRows: 99,
snapshot: {
syncId: 'sync-2',
scanRunId: 'scan-new',
extractedAt: '2026-05-14T09:00:00.000Z',
},
columns: [
{ name: 'id', nativeType: 'integer', primaryKey: true },
{ name: 'status', nativeType: 'text', nullable: false },
],
});
});
it('resolves quoted qualified display strings through the dialect parser', async () => {
await seedScan({ syncId: 'sync-1', runId: 'scan-1' });
const service = createKtxEntityDetailsService(project);
const result = await service.read({
connectionId: 'warehouse',
entities: [{ table: '"public"."orders"' }],
});
expect(result.results[0]).toMatchObject({
ok: true,
display: 'public.orders',
tableRef: { catalog: null, db: 'public', name: 'orders' },
});
});
feat(mcp):added MCP server (#97) * docs(specs): design research-agent MCP tools and ktx mcp daemon Adds the 2026-05-14 design spec for exposing four new MCP tools (discover_data, entity_details, dictionary_search, sql_execution), shipping a ktx-research skill, and introducing an HTTP-only ktx mcp daemon so external agents can use KTX as a research-capable context layer. * Refine research-agent MCP tools spec after adversarial review iteration 1 * Refine research-agent MCP tools spec after adversarial review iteration 2 * Refine research-agent MCP tools spec after adversarial review iteration 3 * Refine spec: drop connectionName compat carve-out and ground summary/snippet provenance per kind * feat(daemon): validate read-only SQL with sqlglot * feat(context): expose read-only SQL validation port * feat(context): register MCP sql execution tool * feat(context): execute MCP SQL through validated connector path * test(context): update SQL analysis port fixtures * docs: add research-agent MCP sql execution foundation plan * feat(context): add scan-backed entity details service * feat(context): register MCP entity details tool * feat(context): expose local MCP entity details * test(context): align entity details scan fixtures * docs: add research-agent MCP entity_details plan * feat(context): add dictionary search service * feat(context): register MCP dictionary search tool * feat(context): expose local MCP dictionary search * docs: add research-agent MCP dictionary_search plan * feat: add MCP discover data service * feat: expose discover data MCP tool * feat: wire local discover data MCP port * docs: add research-agent MCP discover_data plan * feat(cli): add mcp http security helpers * feat(cli): host mcp over streamable http * feat(cli): manage mcp daemon lifecycle * feat(cli): add ktx mcp commands * fix(cli): stabilize mcp daemon verification * docs: add research-agent MCP http daemon plan * feat(cli): install KTX research skill * feat(cli): configure MCP clients in setup agents * feat(cli): support Claude local MCP setup scope * docs: add research-agent MCP setup-agents plan * refactor(context): use connectionId in warehouse verification tools * docs(context): update ingest verification prompts for connectionId * docs: add research-agent MCP ingest contract convergence plan * chore: build runtime artifacts in conductor setup --------- Co-authored-by: Andrey Avtomonov <7889985+andreybavt@users.noreply.github.com>
2026-05-15 02:35:09 +02:00
it('filters requested columns while keeping full-table foreign keys', async () => {
await seedScan({ syncId: 'sync-1', runId: 'scan-1' });
const service = createKtxEntityDetailsService(project);
const result = await service.read({
connectionId: 'warehouse',
entities: [{ table: { catalog: null, db: 'public', name: 'orders' }, columns: ['status'] }],
});
expect(result.results[0]).toMatchObject({
ok: true,
columns: [{ name: 'status' }],
foreignKeys: [
{
fromColumn: 'customer_id',
toDb: 'public',
toTable: 'customers',
toColumn: 'id',
},
],
});
});
it('returns a structured missing-scan error', async () => {
const service = createKtxEntityDetailsService(project);
const result = await service.read({
connectionId: 'warehouse',
entities: [{ table: 'public.orders' }],
});
expect(result.results).toEqual([
{
ok: false,
connectionId: 'warehouse',
table: 'public.orders',
error: {
code: 'scan_missing',
message: 'No live-database scan found for connection "warehouse"; run `ktx ingest warehouse` or `ktx scan warehouse`.',
},
},
]);
});
it('reports ambiguous bare table names across schemas', async () => {
await seedScan({
syncId: 'sync-1',
runId: 'scan-1',
tables: [ordersTable({ db: 'public' }), ordersTable({ db: 'archive' })],
});
const service = createKtxEntityDetailsService(project);
const result = await service.read({
connectionId: 'warehouse',
entities: [{ table: 'orders' }],
});
expect(result.results[0]).toMatchObject({
ok: false,
error: {
code: 'ambiguous_table',
candidates: [
{ tableRef: { catalog: null, db: 'archive', name: 'orders' }, display: 'archive.orders' },
{ tableRef: { catalog: null, db: 'public', name: 'orders' }, display: 'public.orders' },
],
},
});
});
it('reports missing requested columns with available column candidates', async () => {
await seedScan({ syncId: 'sync-1', runId: 'scan-1' });
const service = createKtxEntityDetailsService(project);
const result = await service.read({
connectionId: 'warehouse',
entities: [{ table: 'public.orders', columns: ['status', 'plan_tier'] }],
});
expect(result.results[0]).toMatchObject({
ok: false,
error: {
code: 'column_not_found',
message: 'Column(s) not found on public.orders: plan_tier',
candidates: ['id', 'status'],
},
});
});
});