ktx/packages/cli/test/context/connections/drivers.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

149 lines
4.7 KiB
TypeScript

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';
import {
driverRegistrations,
getDriverRegistration,
listSupportedDrivers,
} from '../../../src/context/connections/drivers.js';
import type {
KtxDriverConnectorModule,
KtxScopeConfigKey,
} from '../../../src/context/connections/drivers.js';
import type { KtxConnectionDriver } from '../../../src/context/scan/types.js';
type FixtureFactory = (projectDir: string) => Record<string, unknown>;
const connectionFixtures: Record<KtxConnectionDriver, FixtureFactory> = {
postgres: () => ({
driver: 'postgres',
url: 'postgresql://reader:secret@localhost:5432/analytics', // pragma: allowlist secret
schemas: ['public'],
}),
sqlite: () => ({ driver: 'sqlite', path: 'warehouse.db' }),
mongodb: () => ({
driver: 'mongodb',
url: 'mongodb://localhost:27017/app',
databases: ['app'],
}),
mysql: () => ({
driver: 'mysql',
host: 'localhost',
database: 'analytics',
username: 'reader',
password: 'secret', // pragma: allowlist secret
schemas: ['analytics'],
}),
clickhouse: () => ({
driver: 'clickhouse',
url: 'http://localhost:8123',
database: 'analytics',
username: 'reader',
password: 'secret', // pragma: allowlist secret
}),
sqlserver: () => ({
driver: 'sqlserver',
host: 'localhost',
database: 'analytics',
username: 'reader',
password: 'secret', // pragma: allowlist secret
schemas: ['dbo'],
}),
bigquery: () => ({
driver: 'bigquery',
dataset_id: 'analytics',
credentials_json: JSON.stringify({
project_id: 'project-1',
client_email: 'reader@example.test',
private_key: '-----BEGIN PRIVATE KEY-----\nsecret\n-----END PRIVATE KEY-----\n', // pragma: allowlist secret
}),
location: 'US',
}),
snowflake: () => ({
driver: 'snowflake',
account: 'example-account',
username: 'reader',
password: 'secret', // pragma: allowlist secret
warehouse: 'COMPUTE_WH',
database: 'ANALYTICS',
schema: 'PUBLIC',
}),
};
const allowedScopeKeys = new Set(['dataset_ids', 'databases', 'schemas', 'schema_names']);
const historicSqlReaderDrivers = new Set<KtxConnectionDriver>(['postgres', 'bigquery', 'snowflake']);
function assertExportedRegistryBoundaryTypes(input: {
scopeConfigKey: KtxScopeConfigKey;
connectorModule: KtxDriverConnectorModule;
}): {
scopeConfigKey: KtxScopeConfigKey;
connectorModule: KtxDriverConnectorModule;
} {
return input;
}
describe('driverRegistrations', () => {
let projectDir: string;
beforeEach(async () => {
projectDir = await mkdtemp(join(tmpdir(), 'ktx-driver-registry-'));
});
afterEach(async () => {
await rm(projectDir, { recursive: true, force: true });
});
it('lists every supported warehouse driver', () => {
const registryDrivers = Object.keys(driverRegistrations).sort();
expect(listSupportedDrivers()).toEqual(registryDrivers);
expect(listSupportedDrivers()).toEqual([
'bigquery',
'clickhouse',
'mongodb',
'mysql',
'postgres',
'snowflake',
'sqlite',
'sqlserver',
]);
});
it('resolves registered drivers case-insensitively', () => {
expect(getDriverRegistration(' Postgres ')?.driver).toBe('postgres');
expect(getDriverRegistration('unknown')).toBeUndefined();
});
it.each(Object.values(driverRegistrations))('adapts $driver connector exports', async (registration) => {
const connectorModule = await registration.load();
const connection = connectionFixtures[registration.driver](projectDir);
const exportedBoundary = assertExportedRegistryBoundaryTypes({
scopeConfigKey: registration.scopeConfigKey ?? 'schemas',
connectorModule,
});
expect(exportedBoundary.connectorModule.createScanConnector).toEqual(expect.any(Function));
expect(connectorModule.isConnectionConfig(connection)).toBe(true);
expect(connectorModule.isConnectionConfig({})).toBe(false);
const connector = connectorModule.createScanConnector({
connectionId: 'warehouse',
connection,
projectDir,
});
expect(connector.driver).toBe(registration.driver);
expect(connector.listSchemas).toEqual(expect.any(Function));
expect(connector.listTables).toEqual(expect.any(Function));
await connector.cleanup?.();
if (registration.driver === 'sqlite') {
expect(registration.scopeConfigKey).toBeNull();
} else {
expect(registration.scopeConfigKey).not.toBeNull();
expect(allowedScopeKeys.has(registration.scopeConfigKey ?? '')).toBe(true);
}
expect(registration.hasHistoricSqlReader).toBe(historicSqlReaderDrivers.has(registration.driver));
});
});