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* 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
134 lines
4 KiB
TypeScript
134 lines
4 KiB
TypeScript
import { describe, expect, it } from 'vitest';
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import type { KtxEnrichedRelationship, KtxEnrichedSchema } from '../../../src/context/scan/enrichment-types.js';
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import { collectKtxFormalMetadataRelationships } from '../../../src/context/scan/relationship-formal-metadata.js';
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function schema(relationships: KtxEnrichedRelationship[]): KtxEnrichedSchema {
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return {
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connectionId: 'warehouse',
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tables: [
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{
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id: 'accounts',
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ref: { catalog: null, db: null, name: 'accounts' },
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enabled: true,
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descriptions: {},
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columns: [
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{
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id: 'accounts.id',
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tableId: 'accounts',
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tableRef: { catalog: null, db: null, name: 'accounts' },
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name: 'id',
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nativeType: 'INTEGER',
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normalizedType: 'integer',
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dimensionType: 'number',
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nullable: false,
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primaryKey: true,
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parentColumnId: null,
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descriptions: {},
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embedding: null,
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sampleValues: null,
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cardinality: null,
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},
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],
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},
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{
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id: 'orders',
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ref: { catalog: null, db: null, name: 'orders' },
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enabled: true,
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descriptions: {},
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columns: [
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{
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id: 'orders.account_id',
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tableId: 'orders',
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tableRef: { catalog: null, db: null, name: 'orders' },
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name: 'account_id',
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nativeType: 'INTEGER',
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normalizedType: 'integer',
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dimensionType: 'number',
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nullable: false,
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primaryKey: false,
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parentColumnId: null,
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descriptions: {},
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embedding: null,
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sampleValues: null,
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cardinality: null,
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},
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],
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},
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],
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relationships,
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};
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}
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function formalRelationship(overrides: Partial<KtxEnrichedRelationship> = {}): KtxEnrichedRelationship {
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return {
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id: 'orders:orders.account_id->accounts:accounts.id',
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source: 'formal',
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from: {
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tableId: 'orders',
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columnIds: ['orders.account_id'],
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table: { catalog: null, db: null, name: 'orders' },
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columns: ['account_id'],
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},
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to: {
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tableId: 'accounts',
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columnIds: ['accounts.id'],
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table: { catalog: null, db: null, name: 'accounts' },
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columns: ['id'],
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},
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relationshipType: 'many_to_one',
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confidence: 0.6,
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isPrimaryKeyReference: false,
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...overrides,
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};
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}
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describe('formal metadata relationship collection', () => {
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it('accepts valid formal relationships with ground-truth confidence', () => {
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const result = collectKtxFormalMetadataRelationships(schema([formalRelationship()]));
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expect(result.accepted).toEqual([
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expect.objectContaining({
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id: 'orders:orders.account_id->accounts:accounts.id',
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source: 'formal',
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confidence: 1,
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isPrimaryKeyReference: true,
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}),
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]);
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expect(result.skipped).toEqual([]);
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expect(result.acceptedIds).toEqual(new Set(['orders:orders.account_id->accounts:accounts.id']));
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});
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it('skips duplicate and invalid formal relationships with reasons', () => {
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const result = collectKtxFormalMetadataRelationships(
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schema([
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formalRelationship(),
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formalRelationship(),
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formalRelationship({
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id: 'orders:orders.missing_account_id->accounts:accounts.id',
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from: {
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tableId: 'orders',
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columnIds: ['orders.missing_account_id'],
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table: { catalog: null, db: null, name: 'orders' },
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columns: ['missing_account_id'],
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},
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}),
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formalRelationship({
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id: 'manual-edge',
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source: 'manual',
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}),
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]),
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);
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expect(result.accepted).toHaveLength(1);
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expect(result.skipped).toEqual([
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{
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relationshipId: 'orders:orders.account_id->accounts:accounts.id',
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reason: 'formal_metadata_duplicate',
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},
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{
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relationshipId: 'orders:orders.missing_account_id->accounts:accounts.id',
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reason: 'formal_metadata_endpoint_not_found',
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},
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]);
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});
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});
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