chore: GenAI SDK client - fix types import logic to correctly lazy load _evals_metric_loaders

tests/unit/architecture/test_vertexai_import.py

@@ -100,6 +100,15 @@ def test_vertexai_import():
     assert "pandas" not in modules_after_genai_client_import
     assert "pydantic" in modules_after_genai_client_import
 
+    # The types module should not import _evals_metric_loaders until
+    # PrebuiltMetric or RubricMetric are accessed.
+    from vertexai._genai import types  # noqa: F401
+
+    assert (
+        "google.cloud.aiplatform.vertexai._genai._evals_metric_loaders"
+        not in sys.modules
+    )
+
     # Tests the evals module is lazy loaded.
     from vertexai._genai import evals as _  # noqa: F401,F811
 

vertexai/_genai/types/__init__.py

@@ -16,6 +16,9 @@
 # Code generated by the Google Gen AI SDK generator DO NOT EDIT.
 # flake8: noqa: F401
 
+import importlib
+import typing
+
 from . import agent_engines
 from . import evals
 from .common import _AppendAgentEngineSessionEventRequestParameters
@@ -756,7 +759,6 @@
 from .common import RubricGroup
 from .common import RubricGroupDict
 from .common import RubricGroupOrDict
-from .common import RubricMetric
 from .common import RubricOrDict
 from .common import RubricVerdict
 from .common import RubricVerdictDict
@@ -1813,7 +1815,6 @@
     "PromptDataDict",
     "PromptDataOrDict",
     "LLMMetric",
-    "RubricMetric",
     "MetricPromptBuilder",
     "_CreateEvaluationItemParameters",
     "_CreateEvaluationRunParameters",
@@ -1878,4 +1879,15 @@
     "_UpdateDatasetParameters",
     "evals",
     "agent_engines",
+    "PrebuiltMetric",
+    "RubricMetric",
 ]
+
+
+def __getattr__(name: str) -> typing.Any:
+    if name == "PrebuiltMetric" or name == "RubricMetric":
+        module = importlib.import_module(".._evals_metric_loaders", __package__)
+        prebuilt_metric_obj = getattr(module, name)
+        globals()[name] = prebuilt_metric_obj
+        return prebuilt_metric_obj
+    raise AttributeError(f"module '{__name__}' has no attribute '{name}'")

vertexai/_genai/types/common.py

@@ -16,7 +16,6 @@
 # Code generated by the Google Gen AI SDK generator DO NOT EDIT.
 
 import datetime
-import importlib
 import json
 import logging
 import os
@@ -47,17 +46,6 @@
 from typing_extensions import TypedDict
 from . import evals as evals_types
 
-__all__ = ["PrebuiltMetric", "RubricMetric"]  # noqa: F822
-
-
-def __getattr__(name: str) -> typing.Any:
-    if name == "PrebuiltMetric" or name == "RubricMetric":
-        module = importlib.import_module(".._evals_metric_loaders", __package__)
-        prebuilt_metric_obj = getattr(module, name)
-        globals()[name] = prebuilt_metric_obj
-        return prebuilt_metric_obj
-    raise AttributeError(f"module '{__name__}' has no attribute '{name}'")
-
 
 def _camel_to_snake(camel_case_string: str) -> str:
     snake_case_string = re.sub(r"(?<!^)([A-Z])", r"_\1", camel_case_string)