ktx/packages/cli/test/connectors/mongodb/connector.test.ts
Pintouch 2afab61417
feat(connectors): add MongoDB connector (#305) (#310)
* refactor(connectors): split KtxDialect into core and KtxSqlDialect

Separate the dialect contract into a driver-agnostic core (display/ref
formatting and type mapping) and a SQL-only extension (query generators).
The catalog and entity-details paths resolve the core dialect for any
snapshot driver, so it must stay free of SQL generation; this is the
prerequisite refactor for adding non-SQL primary sources.

- KtxDialect keeps type, formatDisplayRef, parseDisplayRef,
  columnDisplayTablePartCount, mapDataType, mapToDimensionType
- KtxSqlDialect extends it with quoteIdentifier, formatTableName, and the
  query/sample/statistics generators; the 7 SQL dialects implement it
- add getSqlDialectForDriver for SQL drivers; the 7 connectors and the
  relationship-benchmark harness consume it
- thread the relationship pipeline (profiling/validation/composite/
  discovery) as KtxSqlDialect | null so a non-SQL source skips coverage SQL
  and its candidates stay in review; local-enrichment builds the SQL
  dialect only when the connector advertises readOnlySql

Pure extraction: no behavior change for the existing 7 drivers.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* feat(connectors): add MongoDB connector for issue #305

Add a read-only MongoDB connector that treats a database as a primary
context source: collections map to tables and inferred top-level fields to
columns. MongoDB is the first non-SQL source (readOnlySql: false), so
ktx sql and metric compilation do not apply, but its collections flow
through ingest, descriptions, and relationship discovery.

- schema-inference: infer a flat column schema from the most recent
  sample_size documents (by _id desc, or order_by for non-ObjectId keys).
  Union BSON types per field, mark multi-type fields mixed (string), keep
  sub-documents/arrays as a single opaque json column, derive nullability
  from presence, treat _id as the primary key
- connector: KtxMongoDbScanConnector behind an injectable client seam;
  strictly read-only (find/listCollections/estimatedDocumentCount only),
  no executeReadOnly; resolves env:/file: via resolveKtxConfigReference
- core-only KtxMongoDbDialect and a live-database introspection adapter
- wire the mongodb driver: driver union, dialect registry, driver
  registration (scopeConfigKey databases), mongodbConnectionSchema,
  connection-drivers, normalizeDriver, the live-database route, and the
  ktx setup picker. ktx sql is refused by the read-only SQL capability gate
- tests: schema inference, connector snapshot via a fake client, dialect,
  driver-schema parsing, and the ktx sql rejection

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* docs(integrations): document the MongoDB primary source

Add a MongoDB section to the primary-sources reference: connection config
(url, databases, enabled_tables, sample_size, order_by), mongodb+srv/TLS/
Atlas notes, the schema-inference explainer, a features matrix, and the
non-SQL caveat. Update the frontmatter and connection field reference.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* fix(connectors): address review blockers on the MongoDB connector

- introspect: skip estimatedDocumentCount for views. The count command is
  rejected on a MongoDB view (CommandNotSupportedOnView), so counting a view
  aborted introspect for the whole connection; compute estimatedRows only for
  real collections, as ClickHouse does.
- sl: refuse a semantic-layer query against a non-SQL connection instead of
  defaulting it to the Postgres dialect. compileLocalSlQuery (the shared CLI +
  MCP path) now rejects a driver with no SQL dialect via the new
  isSqlQueryableDriver authority, keeping MongoDB context-only per issue #305.
- tests: cover input.tableScope and the empty-scope skip for the Mongo
  connector (the scan layer does not post-filter), the view no-count path, and
  the ktx sl query refusal for a mongodb connection.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* polish(mongodb): compute sampled nullCount and document sampling caveats

Address the non-blocking review notes:

- sampleColumn now counts null/absent values over the sampled window instead of
  returning nullCount: null, since the documents are already in hand
- warn that a custom order_by must be indexed (an unindexed sort hits MongoDB's
  in-memory sort limit on large collections) in the connection schema and docs
- note that sampled values for nested fields are stringified, not faithfully
  serialized, so the json opacity is deliberate

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* docs(examples): add a MongoDB connector example

A manual, container-backed example mirroring examples/postgres-historic:

- docker-compose.yml + init/seed.js seed a representative dataset (nested
  documents, arrays, a Decimal128, a mixed-type field, a nullable field, an
  ObjectId reference, and a view) on first container start
- scripts/smoke.sh + introspect-smoke.mjs assert the connector's inferred
  schema with no LLM credentials — the same introspection entry point ktx
  ingest's database-schema stage uses, including the view-no-count path
- README.md documents the smoke and a full keyless ktx ingest run
  (claude-code LLM + managed sentence-transformers embeddings)

Works with Docker Compose or podman compose. Verified end to end.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* chore: ignore examples/** in knip to fix dead-code false positives

The MongoDB connector example files (examples/mongodb/init/seed.js and
examples/mongodb/scripts/introspect-smoke.mjs) are used at runtime but were
flagged as unused by knip. Add examples/** to the ignore array, matching the
existing .context/** entry.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0114qQV8fJ5a5ME3XbMVRzbL

* fix(mongodb): refuse non-SQL connections before SQL analysis

`ktx sql` and the MCP sql_execution tool resolved a SQL-analysis dialect
(falling back to Postgres for a non-SQL driver) and ran read-only
validation before the connector capability gate refused the connection.
For a MongoDB connection that spun up the parser/daemon and produced
Postgres parser diagnostics instead of a clean non-SQL refusal.

Route both entry points through a shared assertSqlQueryableConnection
guard before dialect selection, mirroring compileLocalSlQuery. The
federated duckdb path has no driver and is exempted at each call site.
Add CLI and MCP regression tests asserting validation/connector work
never starts for a MongoDB connection.

* fix(mongodb): pass CI gates (dialect boundary, secrets, setup test)

Three latent failures in the connector surfaced once CI ran on the branch:

- connector.ts imported the concrete KtxMongoDbDialect, which the connector
  dialect-import boundary forbids. Route it through getDialectForDriver('mongodb')
  and widen inferKtxMongoCollectionColumns to the base KtxDialect (it only uses
  mapDataType/mapToDimensionType).
- detect-secrets flagged a test ObjectId hex and the mongodb+srv example URL;
  annotate both with allowlist pragmas.
- the "shows every supported database" setup test omitted the new MongoDB option.

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: Luca Martial <48870843+luca-martial@users.noreply.github.com>
Co-authored-by: Luca Martial <lucamrtl@gmail.com>
Co-authored-by: Andrey Avtomonov <andreybavt@gmail.com>
2026-06-29 15:17:56 +02:00

241 lines
9.8 KiB
TypeScript

import { describe, expect, it, vi } from 'vitest';
import {
isKtxMongoDbConnectionConfig,
KtxMongoDbScanConnector,
type KtxMongoClient,
type KtxMongoClientFactory,
type KtxMongoDbConnectionConfig,
type KtxMongoListedCollection,
} from '../../../src/connectors/mongodb/connector.js';
import { createMongoDbLiveDatabaseIntrospection } from '../../../src/connectors/mongodb/live-database-introspection.js';
import { executeProjectReadOnlySql } from '../../../src/context/connections/project-sql-executor.js';
import { tableRefSet } from '../../../src/context/scan/table-ref.js';
import type { KtxLocalProject } from '../../../src/context/project/project.js';
import type { KtxMongoDocument } from '../../../src/connectors/mongodb/schema-inference.js';
function objectId(hex: string): unknown {
return { _bsontype: 'ObjectId', toString: () => hex };
}
const COLLECTIONS: Record<string, KtxMongoListedCollection[]> = {
app: [
{ name: 'users' },
{ name: 'orders' },
{ name: 'system.views' },
],
};
const DOCUMENTS: Record<string, KtxMongoDocument[]> = {
users: [
{ _id: objectId('a1'), email: 'a@x.com', age: 31, address: { city: 'NY' } },
{ _id: objectId('a2'), email: 'b@x.com' },
],
orders: [{ _id: objectId('b1'), total: 9.99 }],
};
function fakeClientFactory(): { factory: KtxMongoClientFactory; client: KtxMongoClient } {
const client: KtxMongoClient = {
listCollections: vi.fn(async (databaseName: string) => COLLECTIONS[databaseName] ?? []),
estimatedDocumentCount: vi.fn(async (_databaseName: string, collectionName: string) =>
collectionName === 'users' ? 2 : 1,
),
find: vi.fn(async (_databaseName: string, collectionName: string) => DOCUMENTS[collectionName] ?? []),
ping: vi.fn(async () => undefined),
close: vi.fn(async () => undefined),
};
return { factory: { create: vi.fn(() => client) }, client };
}
function connector(connection: KtxMongoDbConnectionConfig, factory: KtxMongoClientFactory): KtxMongoDbScanConnector {
return new KtxMongoDbScanConnector({ connectionId: 'mongo-prod', connection, clientFactory: factory });
}
const baseConnection: KtxMongoDbConnectionConfig = {
driver: 'mongodb',
url: 'mongodb://localhost:27017/app',
databases: ['app'],
};
describe('isKtxMongoDbConnectionConfig', () => {
it('matches only the mongodb driver', () => {
expect(isKtxMongoDbConnectionConfig({ driver: 'mongodb' })).toBe(true);
expect(isKtxMongoDbConnectionConfig({ driver: 'postgres' })).toBe(false);
expect(isKtxMongoDbConnectionConfig(undefined)).toBe(false);
});
});
describe('KtxMongoDbScanConnector capabilities', () => {
it('advertises a non-SQL, sampling-capable source and exposes no SQL execution', () => {
const { factory } = fakeClientFactory();
const c = connector(baseConnection, factory);
expect(c.driver).toBe('mongodb');
expect(c.capabilities.readOnlySql).toBe(false);
expect(c.capabilities.formalForeignKeys).toBe(false);
expect(c.capabilities.tableSampling).toBe(true);
expect(c.capabilities.columnSampling).toBe(true);
expect(c.capabilities.nestedAnalysis).toBe(true);
expect('executeReadOnly' in c).toBe(false);
});
});
describe('KtxMongoDbScanConnector construction', () => {
it('requires a url', () => {
const { factory } = fakeClientFactory();
expect(() => connector({ driver: 'mongodb', databases: ['app'] }, factory)).toThrow(/requires connections\.mongo-prod\.url/);
});
it('resolves env: url references and derives the database from the url path', () => {
const { factory, client } = fakeClientFactory();
const c = new KtxMongoDbScanConnector({
connectionId: 'mongo-prod',
connection: { driver: 'mongodb', url: 'env:MONGO_URL' },
clientFactory: factory,
env: { MONGO_URL: 'mongodb://localhost:27017/app' },
});
return c.introspect({ connectionId: 'mongo-prod', driver: 'mongodb' }, { runId: 't' }).then((snapshot) => {
expect(snapshot.scope.schemas).toEqual(['app']);
expect(client.listCollections).toHaveBeenCalledWith('app');
});
});
it('refuses a non-mongodb driver', () => {
const { factory } = fakeClientFactory();
expect(() => connector({ driver: 'postgres' } as KtxMongoDbConnectionConfig, factory)).toThrow(/cannot run driver "postgres"/);
});
});
describe('KtxMongoDbScanConnector.introspect', () => {
it('maps collections to tables, infers columns, and excludes system collections', async () => {
const { factory } = fakeClientFactory();
const snapshot = await connector(baseConnection, factory).introspect(
{ connectionId: 'mongo-prod', driver: 'mongodb' },
{ runId: 't' },
);
expect(snapshot.driver).toBe('mongodb');
expect(snapshot.tables.map((table) => table.name).sort()).toEqual(['orders', 'users']);
const users = snapshot.tables.find((table) => table.name === 'users')!;
expect(users.db).toBe('app');
expect(users.estimatedRows).toBe(2);
expect(users.foreignKeys).toEqual([]);
const idColumn = users.columns.find((column) => column.name === '_id')!;
expect(idColumn.primaryKey).toBe(true);
expect(idColumn.nullable).toBe(false);
const email = users.columns.find((column) => column.name === 'email')!;
expect(email.nullable).toBe(false); // present in every sampled document
const age = users.columns.find((column) => column.name === 'age')!;
expect(age.nullable).toBe(true); // missing from the second document
const address = users.columns.find((column) => column.name === 'address')!;
expect(address.normalizedType).toBe('json');
});
it('honors the enabled_tables allowlist', async () => {
const { factory } = fakeClientFactory();
const snapshot = await connector(
{ ...baseConnection, enabled_tables: ['app.users'] },
factory,
).introspect({ connectionId: 'mongo-prod', driver: 'mongodb' }, { runId: 't' });
expect(snapshot.tables.map((table) => table.name)).toEqual(['users']);
});
it('restricts introspection to input.tableScope (the scan layer does not post-filter)', async () => {
const { factory } = fakeClientFactory();
const snapshot = await connector(baseConnection, factory).introspect(
{
connectionId: 'mongo-prod',
driver: 'mongodb',
tableScope: tableRefSet([{ catalog: null, db: 'app', name: 'users' }]),
},
{ runId: 't' },
);
expect(snapshot.tables.map((table) => table.name)).toEqual(['users']);
});
it('yields zero tables for a database whose scoped set is empty', async () => {
const { factory } = fakeClientFactory();
const snapshot = await connector(baseConnection, factory).introspect(
{
connectionId: 'mongo-prod',
driver: 'mongodb',
tableScope: tableRefSet([{ catalog: null, db: 'other', name: 'users' }]),
},
{ runId: 't' },
);
expect(snapshot.tables).toEqual([]);
});
it('does not count documents on a view (estimatedDocumentCount fails on views)', async () => {
const collections: KtxMongoListedCollection[] = [
{ name: 'users' },
{ name: 'active_users', type: 'view' },
];
const client: KtxMongoClient = {
listCollections: vi.fn(async () => collections),
// Real MongoDB rejects a count command on a view with CommandNotSupportedOnView.
estimatedDocumentCount: vi.fn(async (_db: string, name: string) => {
if (name === 'active_users') {
throw new Error('CommandNotSupportedOnView: count is not supported on a view');
}
return 2;
}),
find: vi.fn(async (_db: string, name: string) => DOCUMENTS[name] ?? DOCUMENTS.users!),
ping: vi.fn(async () => undefined),
close: vi.fn(async () => undefined),
};
const snapshot = await connector(baseConnection, { create: vi.fn(() => client) }).introspect(
{ connectionId: 'mongo-prod', driver: 'mongodb' },
{ runId: 't' },
);
const view = snapshot.tables.find((table) => table.name === 'active_users')!;
expect(view.kind).toBe('view');
expect(view.estimatedRows).toBeNull();
expect(client.estimatedDocumentCount).not.toHaveBeenCalledWith('app', 'active_users');
});
});
describe('KtxMongoDbScanConnector sampling', () => {
it('samples a column, flattening nested values and counting nulls over the window', async () => {
const { factory } = fakeClientFactory();
const result = await connector(baseConnection, factory).sampleColumn(
{ connectionId: 'mongo-prod', table: { catalog: null, db: 'app', name: 'users' }, column: 'address', limit: 10 },
{ runId: 't' },
);
expect(result.values).toEqual([JSON.stringify({ city: 'NY' })]);
// address is present in the first sampled document and absent from the second
expect(result.nullCount).toBe(1);
});
});
describe('createMongoDbLiveDatabaseIntrospection', () => {
it('extracts a schema through the live-database port', async () => {
const { factory } = fakeClientFactory();
const port = createMongoDbLiveDatabaseIntrospection({
connections: {
'mongo-prod': { driver: 'mongodb', url: 'mongodb://localhost:27017/app', databases: ['app'] },
},
clientFactory: factory,
});
const snapshot = await port.extractSchema('mongo-prod');
expect(snapshot.driver).toBe('mongodb');
expect(snapshot.tables.length).toBe(2);
});
});
describe('ktx sql against a MongoDB connection', () => {
it('is rejected by the read-only SQL capability gate', async () => {
const { factory } = fakeClientFactory();
const project = { config: { connections: {} }, projectDir: '/tmp' } as unknown as KtxLocalProject;
await expect(
executeProjectReadOnlySql({
project,
input: { connectionId: 'mongo-prod', connection: undefined, sql: 'SELECT 1', maxRows: 1 },
createConnector: () => connector(baseConnection, factory),
}),
).rejects.toThrow(/does not support read-only SQL execution/);
});
});