Pull request #2523: Releasing Version 65.49.1

Merge in SDK/oci-go-sdk from merge_to_github2023-09-11 to github

Squashed commit of the following:

commit 3beb50cc13e477d299c93d0e0c60eb898b6bdb8e
Author: oci-dex-release-bot <oci-dex-releases-bot_ww@oracle.com>
Date:   Mon Sep 11 17:36:24 2023 +0000

    Releasing version 65 49 1

Author: DEXREQ Automation

CHANGELOG.md

@@ -4,6 +4,16 @@ All notable changes to this project will be documented in this file.
 
 The format is based on [Keep a Changelog](http://keepachangelog.com/)
 
+## 65.49.1 - 2023-09-12
+### Added
+- Support for SQL tuning sets in Database Management service
+- Support for announcement chaining in Announcements service
+- Support for automatic promotion of hosts in Stack Monitoring service
+- Support for face detection in AI Vision service
+- Support for change parameters on list character sets operation in Database Management service
+- Support for displaying software sources attached to a managed instance group in OS Management service
+
+
 ## 65.49.0 - 2023-09-05
 ### Added
 - Support for queue channels in the Queue Service

aivision/analyze_image_result.go

@@ -29,6 +29,9 @@ type AnalyzeImageResult struct {
 
 	ImageText *ImageText `mandatory:"false" json:"imageText"`
 
+	// The detected faces.
+	DetectedFaces []Face `mandatory:"false" json:"detectedFaces"`
+
 	// The image classification model version.
 	ImageClassificationModelVersion *string `mandatory:"false" json:"imageClassificationModelVersion"`
 
@@ -38,6 +41,9 @@ type AnalyzeImageResult struct {
 	// The text detection model version.
 	TextDetectionModelVersion *string `mandatory:"false" json:"textDetectionModelVersion"`
 
+	// The face detection model version.
+	FaceDetectionModelVersion *string `mandatory:"false" json:"faceDetectionModelVersion"`
+
 	// The errors encountered during image analysis.
 	Errors []ProcessingError `mandatory:"false" json:"errors"`
 }

aivision/cancel_document_job_request_response.go

@@ -18,7 +18,7 @@ import (
 // Click https://docs.cloud.oracle.com/en-us/iaas/tools/go-sdk-examples/latest/aivision/CancelDocumentJob.go.html to see an example of how to use CancelDocumentJobRequest.
 type CancelDocumentJobRequest struct {
 
-	// Document job id.
+	// The document job ID.
 	DocumentJobId *string `mandatory:"true" contributesTo:"path" name:"documentJobId"`
 
 	// For optimistic concurrency control. In the PUT or DELETE call

aivision/cancel_image_job_request_response.go

@@ -18,7 +18,7 @@ import (
 // Click https://docs.cloud.oracle.com/en-us/iaas/tools/go-sdk-examples/latest/aivision/CancelImageJob.go.html to see an example of how to use CancelImageJobRequest.
 type CancelImageJobRequest struct {
 
-	// Image job id.
+	// The image job ID.
 	ImageJobId *string `mandatory:"true" contributesTo:"path" name:"imageJobId"`
 
 	// For optimistic concurrency control. In the PUT or DELETE call

aivision/data_science_labeling_dataset.go

@@ -20,7 +20,7 @@ import (
 type DataScienceLabelingDataset struct {
 
 	// OCID of the Data Labeling dataset.
-	DatasetId *string `mandatory:"false" json:"datasetId"`
+	DatasetId *string `mandatory:"true" json:"datasetId"`
 }
 
 func (m DataScienceLabelingDataset) String() string {

aivision/face.go

@@ -0,0 +1,47 @@
+// Copyright (c) 2016, 2018, 2023, Oracle and/or its affiliates.  All rights reserved.
+// This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.
+// Code generated. DO NOT EDIT.
+
+// Vision API
+//
+// Using Vision, you can upload images to detect and classify objects in them. If you have lots of images, you can process them in batch using asynchronous API endpoints. Vision's features are thematically split between Document AI for document-centric images, and Image Analysis for object and scene-based images. Pretrained models and custom models are supported.
+//
+
+package aivision
+
+import (
+	"fmt"
+	"github.com/oracle/oci-go-sdk/v65/common"
+	"strings"
+)
+
+// Face The detected face.
+type Face struct {
+
+	// The confidence score, between 0 and 1.
+	Confidence *float32 `mandatory:"true" json:"confidence"`
+
+	BoundingPolygon *BoundingPolygon `mandatory:"true" json:"boundingPolygon"`
+
+	// The quality score of the face detected, between 0 and 1.
+	QualityScore *float32 `mandatory:"true" json:"qualityScore"`
+
+	// A point of interest within a face.
+	Landmarks []Landmark `mandatory:"false" json:"landmarks"`
+}
+
+func (m Face) String() string {
+	return common.PointerString(m)
+}
+
+// ValidateEnumValue returns an error when providing an unsupported enum value
+// This function is being called during constructing API request process
+// Not recommended for calling this function directly
+func (m Face) ValidateEnumValue() (bool, error) {
+	errMessage := []string{}
+
+	if len(errMessage) > 0 {
+		return true, fmt.Errorf(strings.Join(errMessage, "\n"))
+	}
+	return false, nil
+}

aivision/face_detection_feature.go

@@ -0,0 +1,57 @@
+// Copyright (c) 2016, 2018, 2023, Oracle and/or its affiliates.  All rights reserved.
+// This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.
+// Code generated. DO NOT EDIT.
+
+// Vision API
+//
+// Using Vision, you can upload images to detect and classify objects in them. If you have lots of images, you can process them in batch using asynchronous API endpoints. Vision's features are thematically split between Document AI for document-centric images, and Image Analysis for object and scene-based images. Pretrained models and custom models are supported.
+//
+
+package aivision
+
+import (
+	"encoding/json"
+	"fmt"
+	"github.com/oracle/oci-go-sdk/v65/common"
+	"strings"
+)
+
+// FaceDetectionFeature The face detection parameters.
+type FaceDetectionFeature struct {
+
+	// The maximum number of results to return.
+	MaxResults *int `mandatory:"false" json:"maxResults"`
+
+	// Whether or not return face landmarks.
+	ShouldReturnLandmarks *bool `mandatory:"false" json:"shouldReturnLandmarks"`
+}
+
+func (m FaceDetectionFeature) String() string {
+	return common.PointerString(m)
+}
+
+// ValidateEnumValue returns an error when providing an unsupported enum value
+// This function is being called during constructing API request process
+// Not recommended for calling this function directly
+func (m FaceDetectionFeature) ValidateEnumValue() (bool, error) {
+	errMessage := []string{}
+
+	if len(errMessage) > 0 {
+		return true, fmt.Errorf(strings.Join(errMessage, "\n"))
+	}
+	return false, nil
+}
+
+// MarshalJSON marshals to json representation
+func (m FaceDetectionFeature) MarshalJSON() (buff []byte, e error) {
+	type MarshalTypeFaceDetectionFeature FaceDetectionFeature
+	s := struct {
+		DiscriminatorParam string `json:"featureType"`
+		MarshalTypeFaceDetectionFeature
+	}{
+		"FACE_DETECTION",
+		(MarshalTypeFaceDetectionFeature)(m),
+	}
+
+	return json.Marshal(&s)
+}

aivision/get_document_job_request_response.go

@@ -18,7 +18,7 @@ import (
 // Click https://docs.cloud.oracle.com/en-us/iaas/tools/go-sdk-examples/latest/aivision/GetDocumentJob.go.html to see an example of how to use GetDocumentJobRequest.
 type GetDocumentJobRequest struct {
 
-	// Document job id.
+	// The document job ID.
 	DocumentJobId *string `mandatory:"true" contributesTo:"path" name:"documentJobId"`
 
 	// The client request ID for tracing.

aivision/get_image_job_request_response.go

@@ -18,7 +18,7 @@ import (
 // Click https://docs.cloud.oracle.com/en-us/iaas/tools/go-sdk-examples/latest/aivision/GetImageJob.go.html to see an example of how to use GetImageJobRequest.
 type GetImageJobRequest struct {
 
-	// Image job id.
+	// The image job ID.
 	ImageJobId *string `mandatory:"true" contributesTo:"path" name:"imageJobId"`
 
 	// The client request ID for tracing.

aivision/image_feature.go

@@ -54,6 +54,10 @@ func (m *imagefeature) UnmarshalPolymorphicJSON(data []byte) (interface{}, error
 		mm := ImageTextDetectionFeature{}
 		err = json.Unmarshal(data, &mm)
 		return mm, err
+	case "FACE_DETECTION":
+		mm := FaceDetectionFeature{}
+		err = json.Unmarshal(data, &mm)
+		return mm, err
 	case "OBJECT_DETECTION":
 		mm := ImageObjectDetectionFeature{}
 		err = json.Unmarshal(data, &mm)
@@ -92,18 +96,21 @@ const (
 	ImageFeatureFeatureTypeImageClassification ImageFeatureFeatureTypeEnum = "IMAGE_CLASSIFICATION"
 	ImageFeatureFeatureTypeObjectDetection     ImageFeatureFeatureTypeEnum = "OBJECT_DETECTION"
 	ImageFeatureFeatureTypeTextDetection       ImageFeatureFeatureTypeEnum = "TEXT_DETECTION"
+	ImageFeatureFeatureTypeFaceDetection       ImageFeatureFeatureTypeEnum = "FACE_DETECTION"
 )
 
 var mappingImageFeatureFeatureTypeEnum = map[string]ImageFeatureFeatureTypeEnum{
 	"IMAGE_CLASSIFICATION": ImageFeatureFeatureTypeImageClassification,
 	"OBJECT_DETECTION":     ImageFeatureFeatureTypeObjectDetection,
 	"TEXT_DETECTION":       ImageFeatureFeatureTypeTextDetection,
+	"FACE_DETECTION":       ImageFeatureFeatureTypeFaceDetection,
 }
 
 var mappingImageFeatureFeatureTypeEnumLowerCase = map[string]ImageFeatureFeatureTypeEnum{
 	"image_classification": ImageFeatureFeatureTypeImageClassification,
 	"object_detection":     ImageFeatureFeatureTypeObjectDetection,
 	"text_detection":       ImageFeatureFeatureTypeTextDetection,
+	"face_detection":       ImageFeatureFeatureTypeFaceDetection,
 }
 
 // GetImageFeatureFeatureTypeEnumValues Enumerates the set of values for ImageFeatureFeatureTypeEnum
@@ -121,6 +128,7 @@ func GetImageFeatureFeatureTypeEnumStringValues() []string {
 		"IMAGE_CLASSIFICATION",
 		"OBJECT_DETECTION",
 		"TEXT_DETECTION",
+		"FACE_DETECTION",
 	}
 }