feat: default to custom job display name if experiment name looks like a custom job ID

google/cloud/aiplatform/tensorboard/uploader_main.py

@@ -28,8 +28,10 @@
 from tensorboard.plugins.image import metadata as images_metadata
 from tensorboard.plugins.graph import metadata as graphs_metadata
 
+from google.api_core import exceptions
 from google.cloud import storage
 from google.cloud import aiplatform
+from google.cloud.aiplatform import jobs
 from google.cloud.aiplatform.tensorboard import uploader
 from google.cloud.aiplatform.utils import TensorboardClientWithOverride
 
@@ -123,9 +125,14 @@ def main(argv):
             exitcode=0,
         )
 
+    experiment_name = FLAGS.experiment_name
+    experiment_display_name = get_experiment_display_name_with_override(
+        experiment_name, FLAGS.experiment_display_name, project_id, region
+    )
+
     tb_uploader = uploader.TensorBoardUploader(
-        experiment_name=FLAGS.experiment_name,
-        experiment_display_name=FLAGS.experiment_display_name,
+        experiment_name=experiment_name,
+        experiment_display_name=experiment_display_name,
         tensorboard_resource_name=tensorboard.name,
         blob_storage_bucket=blob_storage_bucket,
         blob_storage_folder=blob_storage_folder,
@@ -149,6 +156,19 @@ def main(argv):
     tb_uploader.start_uploading()
 
 
+def get_experiment_display_name_with_override(
+    experiment_name, experiment_display_name, project_id, region
+):
+    if experiment_name.isdecimal() and not experiment_display_name:
+        try:
+            return jobs.CustomJob.get(
+                resource_name=experiment_name, project=project_id, location=region,
+            ).display_name
+        except exceptions.NotFound:
+            return experiment_display_name
+    return experiment_display_name
+
+
 def flags_parser(args):
     # Plumbs the flags defined in this file to the main module, mostly for the
     # console script wrapper tb-gcp-uploader.

tests/unit/aiplatform/test_uploader_main.py

@@ -0,0 +1,124 @@
+# -*- coding: utf-8 -*-
+# Copyright 2021 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.
+#
+
+import pytest
+
+from importlib import reload
+from unittest.mock import patch
+
+from google.api_core import exceptions
+from google.cloud import aiplatform
+from google.cloud.aiplatform import initializer
+from google.cloud.aiplatform.tensorboard import uploader_main
+from google.cloud.aiplatform.compat.types import job_state as gca_job_state_compat
+from google.cloud.aiplatform.compat.types import custom_job as gca_custom_job_compat
+from google.cloud.aiplatform_v1.services.job_service import client as job_service_client
+
+_TEST_PROJECT = "test-project"
+_TEST_LOCATION = "us-central1"
+_TEST_PARENT = f"projects/{_TEST_PROJECT}/locations/{_TEST_LOCATION}"
+_TEST_CUSTOM_JOB_ID = "445768"
+_TEST_CUSTOM_JOB_NAME = f"{_TEST_PARENT}/customJobs/{_TEST_CUSTOM_JOB_ID}"
+_TEST_CUSTOM_JOBS_DISPLAY_NAME = "a custom job display name"
+_TEST_PASSED_IN_EXPERIMENT_DISPLAY_NAME = "someDisplayName"
+
+
+def _get_custom_job_proto(state=None, name=None):
+    custom_job_proto = gca_custom_job_compat.CustomJob()
+    custom_job_proto.name = name
+    custom_job_proto.state = state
+    custom_job_proto.display_name = _TEST_CUSTOM_JOBS_DISPLAY_NAME
+    return custom_job_proto
+
+
+@pytest.fixture
+def get_custom_job_mock_not_found():
+    with patch.object(
+        job_service_client.JobServiceClient, "get_custom_job"
+    ) as get_custom_job_mock:
+        get_custom_job_mock.side_effect = exceptions.NotFound("not found")
+        yield get_custom_job_mock
+
+
+@pytest.fixture
+def get_custom_job_mock():
+    with patch.object(
+        job_service_client.JobServiceClient, "get_custom_job"
+    ) as get_custom_job_mock:
+        get_custom_job_mock.side_effect = [
+            _get_custom_job_proto(
+                name=_TEST_CUSTOM_JOB_NAME,
+                state=gca_job_state_compat.JobState.JOB_STATE_SUCCEEDED,
+            ),
+        ]
+        yield get_custom_job_mock
+
+
+class TestUploaderMain:
+    def setup_method(self):
+        reload(initializer)
+        reload(aiplatform)
+        aiplatform.init(project=_TEST_PROJECT, location=_TEST_LOCATION)
+
+    def teardown_method(self):
+        initializer.global_pool.shutdown(wait=True)
+
+    def test_get_default_custom_job_display_name(self, get_custom_job_mock):
+        aiplatform.init(project=_TEST_PROJECT)
+        assert (
+            uploader_main.get_experiment_display_name_with_override(
+                _TEST_CUSTOM_JOB_ID, None, _TEST_PROJECT, _TEST_LOCATION
+            )
+            == _TEST_CUSTOM_JOBS_DISPLAY_NAME
+        )
+
+    def test_non_decimal_experiment_name(self, get_custom_job_mock):
+        aiplatform.init(project=_TEST_PROJECT)
+        assert (
+            uploader_main.get_experiment_display_name_with_override(
+                "someExperimentName",
+                _TEST_PASSED_IN_EXPERIMENT_DISPLAY_NAME,
+                _TEST_PROJECT,
+                _TEST_LOCATION,
+            )
+            == _TEST_PASSED_IN_EXPERIMENT_DISPLAY_NAME
+        )
+        get_custom_job_mock.assert_not_called()
+
+    def test_display_name_already_specified(self, get_custom_job_mock):
+        aiplatform.init(project=_TEST_PROJECT)
+        assert (
+            uploader_main.get_experiment_display_name_with_override(
+                _TEST_CUSTOM_JOB_ID,
+                _TEST_PASSED_IN_EXPERIMENT_DISPLAY_NAME,
+                _TEST_PROJECT,
+                _TEST_LOCATION,
+            )
+            == _TEST_PASSED_IN_EXPERIMENT_DISPLAY_NAME
+        )
+        get_custom_job_mock.assert_not_called()
+
+    def test_custom_job_not_found(self, get_custom_job_mock_not_found):
+        aiplatform.init(project=_TEST_PROJECT)
+        assert (
+            uploader_main.get_experiment_display_name_with_override(
+                _TEST_CUSTOM_JOB_ID,
+                _TEST_PASSED_IN_EXPERIMENT_DISPLAY_NAME,
+                _TEST_PROJECT,
+                _TEST_LOCATION,
+            )
+            == _TEST_PASSED_IN_EXPERIMENT_DISPLAY_NAME
+        )