chore: override API mixins when needed (#452)

* feat: add model_source_info to Model in aiplatform v1 model.proto

PiperOrigin-RevId: 476193748

Source-Link: googleapis/googleapis@a7f3890

Source-Link: googleapis/googleapis-gen@5589b93
Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiNTU4OWI5MzEwYTZlZDI2YjU2ODE0NjFjNDc2ZDU3MzcyYWNkMTI2NCJ9

* 🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

* feat: add model_source_info to Model in aiplatform v1beta1 model.proto

PiperOrigin-RevId: 476411826

Source-Link: googleapis/googleapis@72f0faa

Source-Link: googleapis/googleapis-gen@7909f5b
Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiNzkwOWY1YjFkNTEzNDlkY2VmYmUzNzBmNmE0ODg5ODFiODBjMWJmZCJ9

* 🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

* chore: override API mixins when needed

PiperOrigin-RevId: 477248447

Source-Link: googleapis/googleapis@4689c73

Source-Link: googleapis/googleapis-gen@c405978
Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiYzQwNTk3ODZhNWNkODA1YTAxNTFkOTViNDc3ZmJjNDg2YmNiY2VkYyJ9

* 🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>
Co-authored-by: Yu-Han Liu <dizcology@hotmail.com>

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/model.proto

@@ -328,6 +328,10 @@ message Model {
   // Customer-managed encryption key spec for a Model. If set, this
   // Model and all sub-resources of this Model will be secured by this key.
   EncryptionSpec encryption_spec = 24;
+
+  // Output only. Source of a model. It can either be automl training pipeline, custom
+  // training pipeline, BigQuery ML, or existing Vertex AI Model.
+  ModelSourceInfo model_source_info = 38 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Contains the schemata used in Model's predictions and explanations via
@@ -590,3 +594,24 @@ message Port {
   // Must be a valid port number, between 1 and 65535 inclusive.
   int32 container_port = 3;
 }
+
+// Detail description of the source information of the model.
+message ModelSourceInfo {
+  // Source of the model.
+  enum ModelSourceType {
+    // Should not be used.
+    MODEL_SOURCE_TYPE_UNSPECIFIED = 0;
+
+    // The Model is uploaded by automl training pipeline.
+    AUTOML = 1;
+
+    // The Model is uploaded by user or custom training pipeline.
+    CUSTOM = 2;
+
+    // The Model is registered and sync'ed from BigQuery ML.
+    BQML = 3;
+  }
+
+  // Type of the model source.
+  ModelSourceType source_type = 1;
+}

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/model.proto

@@ -328,6 +328,10 @@ message Model {
   // Customer-managed encryption key spec for a Model. If set, this
   // Model and all sub-resources of this Model will be secured by this key.
   EncryptionSpec encryption_spec = 24;
+
+  // Output only. Source of a model. It can either be automl training pipeline, custom
+  // training pipeline, BigQuery ML, or existing Vertex AI Model.
+  ModelSourceInfo model_source_info = 38 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Contains the schemata used in Model's predictions and explanations via
@@ -590,3 +594,24 @@ message Port {
   // Must be a valid port number, between 1 and 65535 inclusive.
   int32 container_port = 3;
 }
+
+// Detail description of the source information of the model.
+message ModelSourceInfo {
+  // Source of the model.
+  enum ModelSourceType {
+    // Should not be used.
+    MODEL_SOURCE_TYPE_UNSPECIFIED = 0;
+
+    // The Model is uploaded by automl training pipeline.
+    AUTOML = 1;
+
+    // The Model is uploaded by user or custom training pipeline.
+    CUSTOM = 2;
+
+    // The Model is registered and sync'ed from BigQuery ML.
+    BQML = 3;
+  }
+
+  // Type of the model source.
+  ModelSourceType source_type = 1;
+}