feat: Use default file name if one isn't provided when uploading evaluation results to GCS.

PiperOrigin-RevId: 726235883

Author: vertex-sdk-bot

tests/unit/vertexai/test_evaluation.py

@@ -25,6 +25,7 @@
 from google.cloud import aiplatform
 import vertexai
 from google.cloud.aiplatform import initializer
+from google.cloud.aiplatform import utils as aiplatform_utils
 from google.cloud.aiplatform.metadata import metadata
 from google.cloud.aiplatform_v1.services import (
     evaluation_service as gapic_evaluation_services,
@@ -2176,3 +2177,18 @@ def test_upload_results(self, mock_storage_blob_from_string):
             },
             mock.ANY,
         )
+
+    def test_upload_results_with_default_file_name(self, mock_storage_blob_from_string):
+        with mock.patch.object(
+            aiplatform_utils, "timestamped_unique_name"
+        ) as mock_timestamped_unique_name:
+            mock_timestamped_unique_name.return_value = "2025-02-10-12-00-00-12345"
+            evaluation.utils.upload_evaluation_results(
+                MOCK_EVAL_RESULT,
+                _TEST_BUCKET,
+            )
+
+        mock_storage_blob_from_string.assert_any_call(
+            uri="gs://test-bucket/eval_results_2025-02-10-12-00-00-12345/eval_results_2025-02-10-12-00-00-12345.csv",
+            client=mock.ANY,
+        )

vertexai/evaluation/utils.py

@@ -336,7 +336,7 @@ def _upload_file_to_gcs(upload_gcs_path: str, filename: str) -> None:
 def upload_evaluation_results(
     eval_result: eval_base.EvalResult,
     destination_uri_prefix: str,
-    file_name: str,
+    file_name: Optional[str] = None,
     candidate_model_name: Optional[str] = None,
     baseline_model_name: Optional[str] = None,
     dataset_uri: Optional[str] = None,
@@ -347,7 +347,7 @@ def upload_evaluation_results(
     Args:
         eval_result: Eval results to upload.
         destination_uri_prefix: GCS folder to store the data.
-        file_name: File name to store the metrics table.
+        file_name: Optional. File name to store the metrics table.
         candidate_model_name: Optional. Candidate model name.
         baseline_model_name: Optional. Baseline model name.
         dataset_uri: Optional. URI pointing to the dataset.
@@ -359,6 +359,8 @@ def upload_evaluation_results(
     if eval_result.metrics_table is None:
         return
     if destination_uri_prefix.startswith(_GCS_PREFIX):
+        if not file_name:
+            file_name = f"eval_results_{utils.timestamped_unique_name()}.csv"
         base_name, extension = os.path.splitext(file_name)
         file_type = extension.lower()[1:]
         output_folder = destination_uri_prefix + "/" + base_name