ktx/packages/cli/test/source-mapping.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

85 lines
2.3 KiB
TypeScript

import { mkdtemp, rm, writeFile } from 'node:fs/promises';
import { tmpdir } from 'node:os';
import { join } from 'node:path';
import { afterEach, beforeEach, describe, expect, it } from 'vitest';
import type { KtxCliIo } from '../src/cli-runtime.js';
import { runKtxSourceMapping } from '../src/source-mapping.js';
function makeIo() {
let stdout = '';
let stderr = '';
return {
io: {
stdout: {
write: (chunk: string) => {
stdout += chunk;
},
},
stderr: {
write: (chunk: string) => {
stderr += chunk;
},
},
} satisfies KtxCliIo,
stdout: () => stdout,
stderr: () => stderr,
};
}
describe('source mapping commands', () => {
let tempDir: string;
beforeEach(async () => {
tempDir = await mkdtemp(join(tmpdir(), 'ktx-source-mapping-'));
});
afterEach(async () => {
await rm(tempDir, { recursive: true, force: true });
});
async function writeConfig(metabaseMappings: string[]): Promise<void> {
await writeFile(
join(tempDir, 'ktx.yaml'),
[
'connections:',
' warehouse:',
' driver: postgres',
' url: env:DATABASE_URL',
' metabase:',
' driver: metabase',
' api_url: https://metabase.example.com',
...metabaseMappings,
'',
].join('\n'),
'utf-8',
);
}
it('fails Metabase validation when no sync-enabled target mapping exists', async () => {
await writeConfig([]);
const io = makeIo();
await expect(
runKtxSourceMapping({ command: 'validate', projectDir: tempDir, connectionId: 'metabase' }, io.io),
).resolves.toBe(1);
expect(io.stderr()).toContain('no sync-enabled mappings with a target connection for Metabase connection metabase');
});
it('passes Metabase validation when a sync-enabled target mapping exists', async () => {
await writeConfig([
' mappings:',
' databaseMappings:',
' "3": warehouse',
' syncEnabled:',
' "3": true',
]);
const io = makeIo();
await expect(
runKtxSourceMapping({ command: 'validate', projectDir: tempDir, connectionId: 'metabase' }, io.io),
).resolves.toBe(0);
expect(io.stdout()).toContain('Mapping validation passed: metabase');
});
});