feat: Add EvaluationMetric Create, Get and List methods to Vertex SDK GenAI evals

PiperOrigin-RevId: 882635735

Author: vertex-sdk-bot

tests/unit/vertexai/genai/replays/test_evaluation_metric.py

@@ -0,0 +1,60 @@
+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# pylint: disable=protected-access,bad-continuation,missing-function-docstring
+import re
+
+from tests.unit.vertexai.genai.replays import pytest_helper
+from vertexai._genai import types
+
+_TEST_PROJECT = "977012026409"
+_TEST_LOCATION = "us-central1"
+
+
+def test_create_and_get_evaluation_metric(client):
+    client._api_client._http_options.api_version = "v1beta1"
+    client._api_client._http_options.base_url = (
+        "https://us-central1-staging-aiplatform.sandbox.googleapis.com/"
+    )
+    result = client.evals.create_evaluation_metric(
+        display_name="test_metric",
+        description="test_description",
+        metric=types.RubricMetric.GENERAL_QUALITY,
+    )
+    assert isinstance(result, str)
+    assert re.match(
+        r"^projects/[^/]+/locations/[^/]+/evaluationMetrics/[^/]+$",
+        result,
+    )
+    metric = client.evals.get_evaluation_metric(metric_resource_name=result)
+    assert isinstance(metric, types.EvaluationMetric)
+    assert metric.display_name == "test_metric"
+
+
+def test_list_evaluation_metrics(client):
+    client._api_client._http_options.api_version = "v1beta1"
+    client._api_client._http_options.base_url = (
+        "https://us-central1-staging-aiplatform.sandbox.googleapis.com/"
+    )
+    response = client.evals.list_evaluation_metrics()
+    assert isinstance(response, types.ListEvaluationMetricsResponse)
+    assert len(response.evaluation_metrics) >= 0
+
+
+# The setup function registers the module and method for the recorder
+pytestmark = pytest_helper.setup(
+    file=__file__,
+    globals_for_file=globals(),
+    test_method="evals.create_evaluation_metric",
+)

vertexai/_genai/_transformers.py

@@ -25,8 +25,15 @@
 _METRIC_RES_NAME_RE = r"^projects/[^/]+/locations/[^/]+/evaluationMetrics/[^/]+$"
 
 
+def t_metric(
+    metric: "types.MetricSubclass",
+) -> dict[str, Any]:
+    """Prepares the metric payload for a single metric."""
+    return t_metrics([metric])[0]
+
+
 def t_metrics(
-    metrics: list["types.MetricSubclass"],
+    metrics: "list[types.MetricSubclass]",
     set_default_aggregation_metrics: bool = False,
 ) -> list[dict[str, Any]]:
     """Prepares the metric payload for the evaluation request.