Implemented the reviewer request: Removed the Optional[str] annotations where default value cannot be specified

Ark-kun · Ark-kun · commit fee7b89f553c · 2022-03-31T19:17:17.000-07:00
diff --git a/google/cloud/aiplatform/datasets/dataset.py b/google/cloud/aiplatform/datasets/dataset.py
@@ -106,7 +106,8 @@ def _validate_metadata_schema_uri(self) -> None:
     @classmethod
     def create(
         cls,
-        display_name: Optional[str],
+        # TODO(b/223262536): Make the display_name parameter optional in the next major release
+        display_name: str,
         metadata_schema_uri: str,
         gcs_source: Optional[Union[str, Sequence[str]]] = None,
         bq_source: Optional[str] = None,
diff --git a/google/cloud/aiplatform/jobs.py b/google/cloud/aiplatform/jobs.py
@@ -344,7 +344,8 @@ def completion_stats(self) -> Optional[gca_completion_stats.CompletionStats]:
     @classmethod
     def create(
         cls,
-        job_display_name: Optional[str],
+        # TODO(b/223262536): Make the job_display_name parameter optional in the next major release
+        job_display_name: str,
         model_name: Union[str, "aiplatform.Model"],
         instances_format: str = "jsonl",
         predictions_format: str = "jsonl",
@@ -374,7 +375,7 @@ def create(
 
         Args:
             job_display_name (str):
-                Optional. The user-defined name of the BatchPredictionJob.
+                Required. The user-defined name of the BatchPredictionJob.
                 The name can be up to 128 characters long and can be consist
                 of any UTF-8 characters.
             model_name (Union[str, aiplatform.Model]):
@@ -1013,7 +1014,7 @@ class CustomJob(_RunnableJob):
     def __init__(
         self,
         # TODO(b/223262536): Make display_name parameter fully optional in next major release
-        display_name: Optional[str],
+        display_name: str,
         worker_pool_specs: Union[List[Dict], List[aiplatform.gapic.WorkerPoolSpec]],
         base_output_dir: Optional[str] = None,
         project: Optional[str] = None,
@@ -1059,7 +1060,7 @@ def __init__(
 
         Args:
             display_name (str):
-                Optional. The user-defined name of the HyperparameterTuningJob.
+                Required. 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]]):
@@ -1173,7 +1174,7 @@ def _log_web_access_uris(self):
     def from_local_script(
         cls,
         # TODO(b/223262536): Make display_name parameter fully optional in next major release
-        display_name: Optional[str],
+        display_name: str,
         script_path: str,
         container_uri: str,
         args: Optional[Sequence[str]] = None,
@@ -1216,7 +1217,7 @@ def from_local_script(
 
         Args:
             display_name (str):
-                Optional. The user-defined name of this CustomJob.
+                Required. The user-defined name of this CustomJob.
             script_path (str):
                 Required. Local path to training script.
             container_uri (str):
@@ -1493,7 +1494,7 @@ class HyperparameterTuningJob(_RunnableJob):
     def __init__(
         self,
         # TODO(b/223262536): Make display_name parameter fully optional in next major release
-        display_name: Optional[str],
+        display_name: str,
         custom_job: CustomJob,
         metric_spec: Dict[str, str],
         parameter_spec: Dict[str, hyperparameter_tuning._ParameterSpec],
@@ -1567,7 +1568,7 @@ def __init__(
 
         Args:
             display_name (str):
-                Optional. The user-defined name of the HyperparameterTuningJob.
+                Required. 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):
diff --git a/google/cloud/aiplatform/pipeline_jobs.py b/google/cloud/aiplatform/pipeline_jobs.py
@@ -89,8 +89,9 @@ class PipelineJob(base.VertexAiResourceNounWithFutureManager):
 
     def __init__(
         self,
+        # TODO(b/223262536): Make the display_name parameter optional in the next major release
+        display_name: str,
         template_path: str,
-        display_name: Optional[str],
         job_id: Optional[str] = None,
         pipeline_root: Optional[str] = None,
         parameter_values: Optional[Dict[str, Any]] = None,
@@ -106,7 +107,7 @@ def __init__(
 
         Args:
             display_name (str):
-                Optional. The user-defined name of this Pipeline.
+                Required. The user-defined name of this Pipeline.
             template_path (str):
                 Required. The path of PipelineJob or PipelineSpec JSON file. It
                 can be a local path or a Google Cloud Storage URI.
diff --git a/google/cloud/aiplatform/training_jobs.py b/google/cloud/aiplatform/training_jobs.py
@@ -1016,7 +1016,7 @@ class _CustomTrainingJob(_TrainingJob):
     def __init__(
         self,
         # TODO(b/223262536): Make display_name parameter fully optional in next major release
-        display_name: Optional[str],
+        display_name: str,
         container_uri: str,
         model_serving_container_image_uri: Optional[str] = None,
         model_serving_container_predict_route: Optional[str] = None,
@@ -1040,7 +1040,7 @@ def __init__(
         """
         Args:
             display_name (str):
-                Optional. The user-defined name of this TrainingPipeline.
+                Required. The user-defined name of this TrainingPipeline.
             container_uri (str):
                 Required: Uri of the training container image in the GCR.
             model_serving_container_image_uri (str):
@@ -1556,7 +1556,7 @@ class CustomTrainingJob(_CustomTrainingJob):
     def __init__(
         self,
         # TODO(b/223262536): Make display_name parameter fully optional in next major release
-        display_name: Optional[str],
+        display_name: str,
         script_path: str,
         container_uri: str,
         requirements: Optional[Sequence[str]] = None,
@@ -1616,7 +1616,7 @@ def __init__(
 
         Args:
             display_name (str):
-                Optional. The user-defined name of this TrainingPipeline.
+                Required. The user-defined name of this TrainingPipeline.
             script_path (str): Required. Local path to training script.
             container_uri (str):
                 Required: Uri of the training container image in the GCR.
@@ -2388,7 +2388,7 @@ class CustomContainerTrainingJob(_CustomTrainingJob):
     def __init__(
         self,
         # TODO(b/223262536): Make display_name parameter fully optional in next major release
-        display_name: Optional[str],
+        display_name: str,
         container_uri: str,
         command: Sequence[str] = None,
         model_serving_container_image_uri: Optional[str] = None,
@@ -2446,7 +2446,7 @@ def __init__(
 
         Args:
             display_name (str):
-                Optional. The user-defined name of this TrainingPipeline.
+                Required. The user-defined name of this TrainingPipeline.
             container_uri (str):
                 Required: Uri of the training container image in the GCR.
             command (Sequence[str]):
@@ -3197,7 +3197,7 @@ class AutoMLTabularTrainingJob(_TrainingJob):
     def __init__(
         self,
         # TODO(b/223262536): Make display_name parameter fully optional in next major release
-        display_name: Optional[str],
+        display_name: str,
         optimization_prediction_type: str,
         optimization_objective: Optional[str] = None,
         column_specs: Optional[Dict[str, str]] = None,
@@ -3225,7 +3225,7 @@ def __init__(
 
         Args:
             display_name (str):
-                Optional. The user-defined name of this TrainingPipeline.
+                Required. The user-defined name of this TrainingPipeline.
             optimization_prediction_type (str):
                 The type of prediction the Model is to produce.
                 "classification" - Predict one out of multiple target values is
@@ -5005,7 +5005,7 @@ class CustomPythonPackageTrainingJob(_CustomTrainingJob):
     def __init__(
         self,
         # TODO(b/223262536): Make display_name parameter fully optional in next major release
-        display_name: Optional[str],
+        display_name: str,
         python_package_gcs_uri: str,
         python_module_name: str,
         container_uri: str,
@@ -6177,7 +6177,7 @@ class AutoMLTextTrainingJob(_TrainingJob):
     def __init__(
         self,
         # TODO(b/223262536): Make display_name parameter fully optional in next major release
-        display_name: Optional[str],
+        display_name: str,
         prediction_type: str,
         multi_label: bool = False,
         sentiment_max: int = 10,
