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

packages/cli/src/connectors/postgres/dialect.test.ts

@@ -1,52 +0,0 @@
-import { describe, expect, it } from 'vitest';
-import { KtxPostgresDialect } from './dialect.js';
-
-describe('KtxPostgresDialect', () => {
-  const dialect = new KtxPostgresDialect();
-
-  it('quotes identifiers and formats schema-qualified tables', () => {
-    expect(dialect.quoteIdentifier('order"items')).toBe('"order""items"');
-    expect(dialect.formatTableName({ catalog: null, db: 'public', name: 'orders' })).toBe('"public"."orders"');
-    expect(dialect.formatTableName({ catalog: null, db: null, name: 'orders' })).toBe('"orders"');
-  });
-
-  it('maps native PostgreSQL types to KTX dimension types', () => {
-    expect(dialect.mapToDimensionType('timestamp with time zone')).toBe('time');
-    expect(dialect.mapToDimensionType('numeric(12,2)')).toBe('number');
-    expect(dialect.mapToDimensionType('uuid')).toBe('string');
-    expect(dialect.mapToDimensionType('boolean')).toBe('boolean');
-    expect(dialect.mapToDimensionType('jsonb')).toBe('string');
-  });
-
-  it('generates sample, distinct-value, statistics, and time SQL', () => {
-    expect(dialect.generateSampleQuery('"public"."orders"', 5, ['id', 'status'])).toBe(
-      'SELECT "id", "status" FROM "public"."orders" LIMIT 5',
-    );
-    expect(dialect.generateColumnSampleQuery('"public"."orders"', 'status', 10)).toContain(
-      'TRIM(CAST("status" AS TEXT)) != \'\'',
-    );
-    expect(dialect.generateDistinctValuesQuery('"public"."orders"', '"status"', 20)).toContain(
-      'SELECT DISTINCT "status"::text AS val',
-    );
-    expect(dialect.generateColumnStatisticsQuery('public', 'orders')).toContain('FROM pg_stats s');
-    expect(dialect.getTimeTruncExpression('"created_at"', 'month')).toBe('DATE_TRUNC(\'month\', "created_at")');
-  });
-
-  it('prepares named parameters with PostgreSQL positional parameters', () => {
-    expect(
-      dialect.prepareQuery('select * from orders where id = :id and status = :status', { id: 1, status: 'paid' }),
-    ).toEqual({
-      sql: 'select * from orders where id = $1 and status = $2',
-      params: [1, 'paid'],
-    });
-    expect(
-      dialect.prepareQuery('select :Client_Name_10, :Client_Name_1', {
-        Client_Name_1: 'short',
-        Client_Name_10: 'long',
-      }),
-    ).toEqual({
-      sql: 'select $2, $1',
-      params: ['short', 'long'],
-    });
-  });
-});