ktx/packages/cli/test/context/project/driver-schemas.test.ts

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import { describe, expect, it } from 'vitest';
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
import { connectionConfigSchema } from '../../../src/context/project/driver-schemas.js';
describe('connectionConfigSchema (driver discriminated union)', () => {
it.each([
['postgres', 'postgres://user:pass@host:5432/db'], // pragma: allowlist secret
['mysql', 'mysql://user:pass@host:3306/db'], // pragma: allowlist secret
['snowflake', 'snowflake://account/db'],
['bigquery', 'bigquery://project/dataset'],
['sqlite', 'sqlite:///tmp/db.sqlite'],
['clickhouse', 'clickhouse://host:8123/db'],
['sqlserver', 'sqlserver://host:1433;database=db'],
])('parses %s warehouse connection', (driver, url) => {
expect(connectionConfigSchema.parse({ driver, url })).toMatchObject({ driver, url });
});
it('preserves unknown warehouse fields via looseObject passthrough', () => {
const parsed = connectionConfigSchema.parse({
driver: 'postgres',
url: 'postgres://x',
customField: { enabled: true },
context: { queryHistory: { enabled: false } },
});
expect(parsed).toMatchObject({
driver: 'postgres',
customField: { enabled: true },
context: { queryHistory: { enabled: false } },
});
});
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
it('parses a mongodb connection with sampling fields', () => {
const parsed = connectionConfigSchema.parse({
driver: 'mongodb',
url: 'env:MONGO_URL',
databases: ['app'],
enabled_tables: ['app.users'],
sample_size: 500,
order_by: 'createdAt',
});
expect(parsed).toMatchObject({
driver: 'mongodb',
url: 'env:MONGO_URL',
databases: ['app'],
sample_size: 500,
order_by: 'createdAt',
});
});
it('rejects a mongodb connection without a url', () => {
expect(() => connectionConfigSchema.parse({ driver: 'mongodb', databases: ['app'] })).toThrow();
});
it('rejects an unknown driver', () => {
expect(() => connectionConfigSchema.parse({ driver: 'nope', url: 'x' })).toThrow();
});
it('rejects legacy warehouse driver aliases', () => {
expect(() => connectionConfigSchema.parse({ driver: 'postgresql', url: 'postgresql://host/db' })).toThrow();
});
});
describe('connectionConfigSchema - context source drivers with mappings', () => {
it('parses a metabase connection with mappings', () => {
const parsed = connectionConfigSchema.parse({
driver: 'metabase',
api_url: 'https://metabase.example.com',
api_key_ref: 'env:METABASE_API_KEY', // pragma: allowlist secret
mappings: {
databaseMappings: { '3': 'prod-warehouse' },
syncEnabled: { '3': true },
syncMode: 'ONLY',
},
});
expect(parsed).toMatchObject({
driver: 'metabase',
api_url: 'https://metabase.example.com',
mappings: {
databaseMappings: { '3': 'prod-warehouse' },
syncMode: 'ONLY',
},
});
});
it('parses a looker connection with connectionMappings', () => {
const parsed = connectionConfigSchema.parse({
driver: 'looker',
base_url: 'https://looker.example.com',
client_id: 'abc',
client_secret_ref: 'env:LOOKER_CLIENT_SECRET', // pragma: allowlist secret
mappings: { connectionMappings: { bigquery_prod: 'wh' } },
});
expect(parsed.mappings).toEqual({ connectionMappings: { bigquery_prod: 'wh' } });
});
it('parses a lookml connection with expectedLookerConnectionName', () => {
const parsed = connectionConfigSchema.parse({
driver: 'lookml',
repoUrl: 'https://github.com/acme/looker.git',
branch: 'main',
mappings: { expectedLookerConnectionName: 'bigquery_prod' },
});
expect(parsed.mappings).toEqual({ expectedLookerConnectionName: 'bigquery_prod' });
});
it('rejects metabase mapping with non-integer database key', () => {
expect(() =>
connectionConfigSchema.parse({
driver: 'metabase',
api_url: 'https://x',
mappings: { databaseMappings: { abc: 'wh' } },
}),
).toThrow();
});
});
describe('connectionConfigSchema - notion / gdrive / dbt / metricflow', () => {
it('parses a notion connection with selected_roots crawl', () => {
const parsed = connectionConfigSchema.parse({
driver: 'notion',
auth_token_ref: 'env:NOTION_TOKEN',
crawl_mode: 'selected_roots',
root_page_ids: ['abc', 'def'],
max_pages_per_run: 500,
});
expect(parsed).toMatchObject({
driver: 'notion',
crawl_mode: 'selected_roots',
root_page_ids: ['abc', 'def'],
max_pages_per_run: 500,
});
});
it('rejects notion with unknown crawl_mode', () => {
expect(() =>
connectionConfigSchema.parse({
driver: 'notion',
auth_token_ref: 'env:NOTION_TOKEN',
crawl_mode: 'everything',
}),
).toThrow();
});
it('parses a gdrive connection', () => {
const parsed = connectionConfigSchema.parse({
driver: 'gdrive',
service_account_key_ref: 'file:/tmp/google-service-account.json', // pragma: allowlist secret
folder_id: 'folder-123',
recursive: true,
});
expect(parsed).toMatchObject({
driver: 'gdrive',
service_account_key_ref: 'file:/tmp/google-service-account.json', // pragma: allowlist secret
folder_id: 'folder-123',
recursive: true,
});
});
it('parses a dbt connection from a local source_dir', () => {
const parsed = connectionConfigSchema.parse({
driver: 'dbt',
source_dir: '/tmp/dbt-project',
target: 'dev',
});
expect(parsed).toMatchObject({ driver: 'dbt', source_dir: '/tmp/dbt-project', target: 'dev' });
});
it('parses a metricflow connection with nested config', () => {
const parsed = connectionConfigSchema.parse({
driver: 'metricflow',
metricflow: {
repoUrl: 'https://github.com/acme/sl.git',
branch: 'main',
},
});
expect(parsed).toMatchObject({
driver: 'metricflow',
metricflow: { repoUrl: 'https://github.com/acme/sl.git' },
});
});
});