feat: Made display_name optional for most calls

google/cloud/aiplatform/datasets/dataset.py

@@ -15,6 +15,7 @@
 # limitations under the License.
 #
 
+import datetime
 from typing import Dict, List, Optional, Sequence, Tuple, Union
 
 from google.api_core import operation
@@ -105,12 +106,12 @@ def _validate_metadata_schema_uri(self) -> None:
     @classmethod
     def create(
         cls,
-        display_name: str,
         metadata_schema_uri: str,
         gcs_source: Optional[Union[str, Sequence[str]]] = None,
         bq_source: Optional[str] = None,
         import_schema_uri: Optional[str] = None,
         data_item_labels: Optional[Dict] = None,
+        display_name: Optional[str] = None,
         project: Optional[str] = None,
         location: Optional[str] = None,
         credentials: Optional[auth_credentials.Credentials] = None,
@@ -124,7 +125,7 @@ def create(
 
         Args:
             display_name (str):
-                Required. The user-defined name of the Dataset.
+                Optional. The user-defined name of the Dataset.
                 The name can be up to 128 characters long and can be consist
                 of any UTF-8 characters.
             metadata_schema_uri (str):
@@ -207,7 +208,8 @@ def create(
             dataset (Dataset):
                 Instantiated representation of the managed dataset resource.
         """
-
+        if not display_name:
+            display_name = cls.name + " " + datetime.datetime.now().isoformat(sep=" ")
         utils.validate_display_name(display_name)
         if labels:
             utils.validate_labels(labels)

google/cloud/aiplatform/datasets/image_dataset.py

@@ -15,6 +15,7 @@
 # limitations under the License.
 #
 
+import datetime
 from typing import Dict, Optional, Sequence, Tuple, Union
 
 from google.auth import credentials as auth_credentials
@@ -36,7 +37,7 @@ class ImageDataset(datasets._Dataset):
     @classmethod
     def create(
         cls,
-        display_name: str,
+        display_name: Optional[str] = None,
         gcs_source: Optional[Union[str, Sequence[str]]] = None,
         import_schema_uri: Optional[str] = None,
         data_item_labels: Optional[Dict] = None,
@@ -53,7 +54,7 @@ def create(
 
         Args:
             display_name (str):
-                Required. The user-defined name of the Dataset.
+                Optional. The user-defined name of the Dataset.
                 The name can be up to 128 characters long and can be consist
                 of any UTF-8 characters.
             gcs_source (Union[str, Sequence[str]]):
@@ -126,6 +127,8 @@ def create(
             image_dataset (ImageDataset):
                 Instantiated representation of the managed image dataset resource.
         """
+        if not display_name:
+            display_name = cls.name + " " + datetime.datetime.now().isoformat(sep=" ")
 
         utils.validate_display_name(display_name)
         if labels:

google/cloud/aiplatform/datasets/tabular_dataset.py

@@ -15,6 +15,7 @@
 # limitations under the License.
 #
 
+import datetime
 from typing import Dict, Optional, Sequence, Tuple, Union
 
 from google.auth import credentials as auth_credentials
@@ -36,7 +37,7 @@ class TabularDataset(datasets._ColumnNamesDataset):
     @classmethod
     def create(
         cls,
-        display_name: str,
+        display_name: Optional[str] = None,
         gcs_source: Optional[Union[str, Sequence[str]]] = None,
         bq_source: Optional[str] = None,
         project: Optional[str] = None,
@@ -51,7 +52,7 @@ def create(
 
         Args:
             display_name (str):
-                Required. The user-defined name of the Dataset.
+                Optional. The user-defined name of the Dataset.
                 The name can be up to 128 characters long and can be consist
                 of any UTF-8 characters.
             gcs_source (Union[str, Sequence[str]]):
@@ -107,7 +108,8 @@ def create(
             tabular_dataset (TabularDataset):
                 Instantiated representation of the managed tabular dataset resource.
         """
-
+        if not display_name:
+            display_name = cls.name + " " + datetime.datetime.now().isoformat(sep=" ")
         utils.validate_display_name(display_name)
         if labels:
             utils.validate_labels(labels)

google/cloud/aiplatform/datasets/text_dataset.py

@@ -15,6 +15,7 @@
 # limitations under the License.
 #
 
+import datetime
 from typing import Dict, Optional, Sequence, Tuple, Union
 
 from google.auth import credentials as auth_credentials
@@ -36,7 +37,7 @@ class TextDataset(datasets._Dataset):
     @classmethod
     def create(
         cls,
-        display_name: str,
+        display_name: Optional[str] = None,
         gcs_source: Optional[Union[str, Sequence[str]]] = None,
         import_schema_uri: Optional[str] = None,
         data_item_labels: Optional[Dict] = None,
@@ -60,7 +61,7 @@ def create(
 
         Args:
             display_name (str):
-                Required. The user-defined name of the Dataset.
+                Optional. The user-defined name of the Dataset.
                 The name can be up to 128 characters long and can be consist
                 of any UTF-8 characters.
             gcs_source (Union[str, Sequence[str]]):
@@ -133,7 +134,8 @@ def create(
             text_dataset (TextDataset):
                 Instantiated representation of the managed text dataset resource.
         """
-
+        if not display_name:
+            display_name = cls.name + " " + datetime.datetime.now().isoformat(sep=" ")
         utils.validate_display_name(display_name)
         if labels:
             utils.validate_labels(labels)

google/cloud/aiplatform/datasets/time_series_dataset.py

@@ -15,6 +15,7 @@
 # limitations under the License.
 #
 
+import datetime
 from typing import Dict, Optional, Sequence, Tuple, Union
 
 from google.auth import credentials as auth_credentials
@@ -36,7 +37,7 @@ class TimeSeriesDataset(datasets._ColumnNamesDataset):
     @classmethod
     def create(
         cls,
-        display_name: str,
+        display_name: Optional[str] = None,
         gcs_source: Optional[Union[str, Sequence[str]]] = None,
         bq_source: Optional[str] = None,
         project: Optional[str] = None,
@@ -51,7 +52,7 @@ def create(
 
         Args:
             display_name (str):
-                Required. The user-defined name of the Dataset.
+                Optional. The user-defined name of the Dataset.
                 The name can be up to 128 characters long and can be consist
                 of any UTF-8 characters.
             gcs_source (Union[str, Sequence[str]]):
@@ -108,7 +109,8 @@ def create(
                 Instantiated representation of the managed time series dataset resource.
 
         """
-
+        if not display_name:
+            display_name = cls.name + " " + datetime.datetime.now().isoformat(sep=" ")
         utils.validate_display_name(display_name)
         if labels:
             utils.validate_labels(labels)

google/cloud/aiplatform/datasets/video_dataset.py

@@ -15,6 +15,7 @@
 # limitations under the License.
 #
 
+import datetime
 from typing import Dict, Optional, Sequence, Tuple, Union
 
 from google.auth import credentials as auth_credentials
@@ -36,7 +37,7 @@ class VideoDataset(datasets._Dataset):
     @classmethod
     def create(
         cls,
-        display_name: str,
+        display_name: Optional[str] = None,
         gcs_source: Optional[Union[str, Sequence[str]]] = None,
         import_schema_uri: Optional[str] = None,
         data_item_labels: Optional[Dict] = None,
@@ -53,7 +54,7 @@ def create(
 
         Args:
             display_name (str):
-                Required. The user-defined name of the Dataset.
+                Optional. The user-defined name of the Dataset.
                 The name can be up to 128 characters long and can be consist
                 of any UTF-8 characters.
             gcs_source (Union[str, Sequence[str]]):
@@ -126,7 +127,8 @@ def create(
             video_dataset (VideoDataset):
                 Instantiated representation of the managed video dataset resource.
         """
-
+        if not display_name:
+            display_name = cls.name + " " + datetime.datetime.now().isoformat(sep=" ")
         utils.validate_display_name(display_name)
         if labels:
             utils.validate_labels(labels)

google/cloud/aiplatform/jobs.py

@@ -966,9 +966,9 @@ class CustomJob(_RunnableJob):
 
     def __init__(
         self,
-        display_name: str,
         worker_pool_specs: Union[List[Dict], List[aiplatform.gapic.WorkerPoolSpec]],
         base_output_dir: Optional[str] = None,
+        display_name: Optional[str] = None,
         project: Optional[str] = None,
         location: Optional[str] = None,
         credentials: Optional[auth_credentials.Credentials] = None,
@@ -1012,7 +1012,7 @@ def __init__(
 
         Args:
             display_name (str):
-                Required. The user-defined name of the HyperparameterTuningJob.
+                Optional. The user-defined name of the HyperparameterTuningJob.
                 The name can be up to 128 characters long and can be consist
                 of any UTF-8 characters.
             worker_pool_specs (Union[List[Dict], List[aiplatform.gapic.WorkerPoolSpec]]):
@@ -1070,6 +1070,9 @@ def __init__(
             staging_bucket, "aiplatform-custom-job"
         )
 
+        if not display_name:
+            display_name = self.__class__.name + " " + datetime.datetime.now().isoformat(sep=" ")
+
         self._gca_resource = gca_custom_job_compat.CustomJob(
             display_name=display_name,
             job_spec=gca_custom_job_compat.CustomJobSpec(
@@ -1122,7 +1125,6 @@ def _log_web_access_uris(self):
     @classmethod
     def from_local_script(
         cls,
-        display_name: str,
         script_path: str,
         container_uri: str,
         args: Optional[Sequence[str]] = None,
@@ -1138,6 +1140,7 @@ def from_local_script(
         reduction_server_machine_type: Optional[str] = None,
         reduction_server_container_uri: Optional[str] = None,
         base_output_dir: Optional[str] = None,
+        display_name: Optional[str] = None,
         project: Optional[str] = None,
         location: Optional[str] = None,
         credentials: Optional[auth_credentials.Credentials] = None,
@@ -1165,7 +1168,7 @@ def from_local_script(
 
         Args:
             display_name (str):
-                Required. The user-defined name of this CustomJob.
+                Optional. The user-defined name of this CustomJob.
             script_path (str):
                 Required. Local path to training script.
             container_uri (str):
@@ -1439,7 +1442,6 @@ class HyperparameterTuningJob(_RunnableJob):
 
     def __init__(
         self,
-        display_name: str,
         custom_job: CustomJob,
         metric_spec: Dict[str, str],
         parameter_spec: Dict[str, hyperparameter_tuning._ParameterSpec],
@@ -1448,6 +1450,7 @@ def __init__(
         max_failed_trial_count: int = 0,
         search_algorithm: Optional[str] = None,
         measurement_selection: Optional[str] = "best",
+        display_name: Optional[str] = None,
         project: Optional[str] = None,
         location: Optional[str] = None,
         credentials: Optional[auth_credentials.Credentials] = None,
@@ -1513,7 +1516,7 @@ def __init__(
 
         Args:
             display_name (str):
-                Required. The user-defined name of the HyperparameterTuningJob.
+                Optional. The user-defined name of the HyperparameterTuningJob.
                 The name can be up to 128 characters long and can be consist
                 of any UTF-8 characters.
             custom_job (aiplatform.CustomJob):
@@ -1635,6 +1638,9 @@ def __init__(
             ],
         )
 
+        if not display_name:
+            display_name = self.__class__.name + " " + datetime.datetime.now().isoformat(sep=" ")
+
         self._gca_resource = gca_hyperparameter_tuning_job_compat.HyperparameterTuningJob(
             display_name=display_name,
             study_spec=study_spec,