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/snowflake/dialect.test.ts

@@ -1,50 +0,0 @@
-import { describe, expect, it } from 'vitest';
-import { KtxSnowflakeDialect } from './dialect.js';
-
-describe('KtxSnowflakeDialect', () => {
-  const dialect = new KtxSnowflakeDialect();
-
-  it('quotes identifiers and formats database.schema.table names', () => {
-    expect(dialect.quoteIdentifier('order"items')).toBe('"order""items"');
-    expect(dialect.formatTableName({ catalog: 'ANALYTICS', db: 'PUBLIC', name: 'ORDERS' })).toBe(
-      '"ANALYTICS"."PUBLIC"."ORDERS"',
-    );
-    expect(dialect.formatTableName({ db: 'PUBLIC', name: 'ORDERS' })).toBe('"PUBLIC"."ORDERS"');
-    expect(dialect.formatTableName({ name: 'ORDERS' })).toBe('"ORDERS"');
-  });
-
-  it('maps native Snowflake types to scan dimensions', () => {
-    expect(dialect.mapDataType('NUMBER(38,0)')).toBe('NUMBER(38,0)');
-    expect(dialect.mapToDimensionType('TIMESTAMP_NTZ')).toBe('time');
-    expect(dialect.mapToDimensionType('NUMBER(38,0)')).toBe('number');
-    expect(dialect.mapToDimensionType('BOOLEAN')).toBe('boolean');
-    expect(dialect.mapToDimensionType('VARIANT')).toBe('string');
-  });
-
-  it('generates sampling and dictionary SQL', () => {
-    expect(dialect.generateSampleQuery('"PUBLIC"."ORDERS"', 5, ['ID', 'STATUS'])).toBe(
-      'SELECT "ID", "STATUS" FROM "PUBLIC"."ORDERS" SAMPLE ROW (5 ROWS)',
-    );
-    expect(dialect.generateColumnSampleQuery('"PUBLIC"."ORDERS"', 'STATUS', 10)).toBe(
-      'SELECT "STATUS" FROM "PUBLIC"."ORDERS" WHERE "STATUS" IS NOT NULL AND TRIM(CAST("STATUS" AS STRING)) != \'\' LIMIT 10',
-    );
-    expect(dialect.generateCardinalitySampleQuery('"PUBLIC"."ORDERS"', '"STATUS"', 100)).toContain(
-      'SELECT COUNT(DISTINCT val) AS cardinality',
-    );
-    expect(dialect.generateDistinctValuesQuery('"PUBLIC"."ORDERS"', '"STATUS"', 20)).toContain(
-      'SELECT DISTINCT "STATUS"::VARCHAR AS val',
-    );
-  });
-
-  it('passes Snowflake positional parameters as bind arrays', () => {
-    expect(dialect.prepareQuery('SELECT * FROM ORDERS WHERE ID = ? AND STATUS = ?', { id: 1, status: 'paid' })).toEqual({
-      sql: 'SELECT * FROM ORDERS WHERE ID = ? AND STATUS = ?',
-      params: [1, 'paid'],
-    });
-    expect(dialect.prepareQuery('SELECT * FROM ORDERS')).toEqual({ sql: 'SELECT * FROM ORDERS', params: undefined });
-  });
-
-  it('keeps unsupported statistics explicit', () => {
-    expect(dialect.generateColumnStatisticsQuery('PUBLIC', 'ORDERS')).toBeNull();
-  });
-});