Google Cloud - Vertex_AI - Models - Upload_Scikit-learn_pickle_model - Simplified the component after my Vertex SDK fixes were merged

Some of my Vertex SDK fixes:
googleapis/python-aiplatform#779
googleapis/python-aiplatform#882
googleapis/python-aiplatform#943
googleapis/python-aiplatform#997

Author: Ark-kun

components/google-cloud/Vertex_AI/Models/Upload_Scikit-learn_pickle_model/component.py

@@ -18,15 +18,14 @@ def upload_Scikit_learn_pickle_model_to_Google_Cloud_Vertex_AI(
     # explanation_parameters: "google.cloud.aiplatform_v1.types.explanation.ExplanationParameters" = None,
 
     project: str = None,
-    location: str = "us-central1",
+    location: str = None,
     labels: dict = None,
     # encryption_spec_key_name: str = None,
     staging_bucket: str = None,
 ) -> NamedTuple("Outputs", [
     ("model_name", "GoogleCloudVertexAiModelName"),
     ("model_dict", dict),
 ]):
-    import datetime
     import json
     import os
     import shutil
@@ -45,8 +44,6 @@ def upload_Scikit_learn_pickle_model_to_Google_Cloud_Vertex_AI(
     _, renamed_model_path = tempfile.mkstemp(suffix=".pkl")
     shutil.copyfile(src=model_path, dst=renamed_model_path)
 
-    display_name = display_name or "Scikit-learn model " + datetime.datetime.now().isoformat(sep=" ")
-
     model = aiplatform.Model.upload_scikit_learn_model_file(
         model_file_path=renamed_model_path,
         sklearn_version=sklearn_version,
@@ -82,8 +79,7 @@ def upload_Scikit_learn_pickle_model_to_Google_Cloud_Vertex_AI(
         func=upload_Scikit_learn_pickle_model_to_Google_Cloud_Vertex_AI,
         base_image="python:3.9",
         packages_to_install=[
-            # "google-cloud-aiplatform==1.10.0",
-            "git+https://github.com/Ark-kun/python-aiplatform@9b50f62b9d1409644656fb3202edc7be19c722f4#egg=google-cloud-aiplatform&subdirectory=."   # branch: fix--Fixed-getitng-project-ID-when-running-on-Vertex-AI
+            "google-cloud-aiplatform==1.16.0",
         ],
         annotations={
             "author": "Alexey Volkov <[email protected]>",

components/google-cloud/Vertex_AI/Models/Upload_Scikit-learn_pickle_model/component.yaml

@@ -7,7 +7,7 @@ inputs:
 - {name: display_name, type: String, optional: true}
 - {name: description, type: String, optional: true}
 - {name: project, type: String, optional: true}
-- {name: location, type: String, default: us-central1, optional: true}
+- {name: location, type: String, optional: true}
 - {name: labels, type: JsonObject, optional: true}
 - {name: staging_bucket, type: String, optional: true}
 outputs:
@@ -20,9 +20,8 @@ implementation:
     - sh
     - -c
     - (PIP_DISABLE_PIP_VERSION_CHECK=1 python3 -m pip install --quiet --no-warn-script-location
-      'git+https://github.com/Ark-kun/python-aiplatform@9b50f62b9d1409644656fb3202edc7be19c722f4#egg=google-cloud-aiplatform&subdirectory=.'
-      || PIP_DISABLE_PIP_VERSION_CHECK=1 python3 -m pip install --quiet --no-warn-script-location
-      'git+https://github.com/Ark-kun/python-aiplatform@9b50f62b9d1409644656fb3202edc7be19c722f4#egg=google-cloud-aiplatform&subdirectory=.'
+      'google-cloud-aiplatform==1.16.0' || PIP_DISABLE_PIP_VERSION_CHECK=1 python3
+      -m pip install --quiet --no-warn-script-location 'google-cloud-aiplatform==1.16.0'
       --user) && "$0" "$@"
     - sh
     - -ec
@@ -46,12 +45,11 @@ implementation:
           # explanation_parameters: "google.cloud.aiplatform_v1.types.explanation.ExplanationParameters" = None,
 
           project = None,
-          location = "us-central1",
+          location = None,
           labels = None,
           # encryption_spec_key_name: str = None,
           staging_bucket = None,
       ):
-          import datetime
           import json
           import os
           import shutil
@@ -70,8 +68,6 @@ implementation:
           _, renamed_model_path = tempfile.mkstemp(suffix=".pkl")
           shutil.copyfile(src=model_path, dst=renamed_model_path)
 
-          display_name = display_name or "Scikit-learn model " + datetime.datetime.now().isoformat(sep=" ")
-
           model = aiplatform.Model.upload_scikit_learn_model_file(
               model_file_path=renamed_model_path,
               sklearn_version=sklearn_version,