feat(gooddata-sdk): [AUTO] add CatalogDataSourceAiLakehouse data source type

Adds CatalogDataSourceAiLakehouse class following the existing typed
subclass pattern (CatalogDataSourceGdStorage) for data sources that
do not expose connection credentials. The backend strips url, token,
schema, and parameters for AI Lakehouse data sources, so the wrapper
omits those fields by defaulting schema to empty string and using
_NoCredentials. Exports the new class through gooddata_sdk/__init__.py.
Adds unit tests verifying construction and serialization behavior.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Author: Auto Impl

packages/gooddata-sdk/src/gooddata_sdk/__init__.py

@@ -36,6 +36,7 @@
 )
 from gooddata_sdk.catalog.data_source.entity_model.data_source import (
     CatalogDataSource,
+    CatalogDataSourceAiLakehouse,
     CatalogDataSourceBigQuery,
     CatalogDataSourceDatabricks,
     CatalogDataSourceGdStorage,

packages/gooddata-sdk/src/gooddata_sdk/catalog/data_source/entity_model/data_source.py

@@ -318,3 +318,17 @@ class CatalogDataSourceGdStorage(CatalogDataSource):
     type: str = "GDSTORAGE"
     schema: str = ""
     credentials: Credentials = field(factory=_NoCredentials, repr=False)
+
+
+@define(kw_only=True, eq=False)
+class CatalogDataSourceAiLakehouse(CatalogDataSource):
+    """AI Lakehouse data source.
+
+    Note: The backend does not expose connection details (url, token, schema, parameters)
+    for AI Lakehouse data sources — these fields are stripped on the server side.
+    Only id, name, type, cache_strategy, and permissions are preserved.
+    """
+
+    type: str = "AILAKEHOUSE"
+    schema: str = ""
+    credentials: Credentials = field(factory=_NoCredentials, repr=False)

packages/gooddata-sdk/tests/catalog/test_catalog_data_source.py

@@ -11,6 +11,7 @@
 from gooddata_sdk import (
     BasicCredentials,
     CatalogDataSource,
+    CatalogDataSourceAiLakehouse,
     CatalogDataSourceBigQuery,
     CatalogDataSourceDatabricks,
     CatalogDataSourceMariaDb,
@@ -892,3 +893,30 @@ def test_jdbc_urls_creation(
         ),
     )
     assert data_source.url == url
+
+
+def test_ai_lakehouse_data_source_construction():
+    """CatalogDataSourceAiLakehouse can be constructed with only id and name.
+
+    The backend strips url, token, schema, and parameters for AI Lakehouse data sources,
+    so the wrapper class does not require those fields.
+    """
+    ds = CatalogDataSourceAiLakehouse(id="ailakehouse-ds", name="AI Lakehouse")
+    assert ds.type == "AILAKEHOUSE"
+    assert ds.id == "ailakehouse-ds"
+    assert ds.name == "AI Lakehouse"
+    assert ds.schema == ""
+    assert ds.url is None
+    assert ds.parameters is None
+
+
+def test_ai_lakehouse_data_source_to_api():
+    """CatalogDataSourceAiLakehouse serializes correctly — no credential fields leaked."""
+    ds = CatalogDataSourceAiLakehouse(id="ailakehouse-ds", name="AI Lakehouse")
+    api_doc = ds.to_api()
+    attrs = api_doc.data.attributes
+    assert attrs.type == "AILAKEHOUSE"
+    assert attrs.name == "AI Lakehouse"
+    # url and schema are empty/None — not set on the API model
+    assert not getattr(attrs, "url", None)
+    assert not getattr(attrs, "token", None)