Releasing version 65.49.1

Releasing version 65.49.1

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",
 	}
 }
 

aivision/landmark.go

@@ -0,0 +1,102 @@
+// 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"
+)
+
+// Landmark The landmark on the face.
+type Landmark struct {
+
+	// The face landmark type
+	Type LandmarkTypeEnum `mandatory:"true" json:"type"`
+
+	// The X-axis normalized coordinate.
+	X *float32 `mandatory:"true" json:"x"`
+
+	// The Y-axis normalized coordinate.
+	Y *float32 `mandatory:"true" json:"y"`
+}
+
+func (m Landmark) 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 Landmark) ValidateEnumValue() (bool, error) {
+	errMessage := []string{}
+	if _, ok := GetMappingLandmarkTypeEnum(string(m.Type)); !ok && m.Type != "" {
+		errMessage = append(errMessage, fmt.Sprintf("unsupported enum value for Type: %s. Supported values are: %s.", m.Type, strings.Join(GetLandmarkTypeEnumStringValues(), ",")))
+	}
+
+	if len(errMessage) > 0 {
+		return true, fmt.Errorf(strings.Join(errMessage, "\n"))
+	}
+	return false, nil
+}
+
+// LandmarkTypeEnum Enum with underlying type: string
+type LandmarkTypeEnum string
+
+// Set of constants representing the allowable values for LandmarkTypeEnum
+const (
+	LandmarkTypeLeftEye          LandmarkTypeEnum = "LEFT_EYE"
+	LandmarkTypeRightEye         LandmarkTypeEnum = "RIGHT_EYE"
+	LandmarkTypeNoseTip          LandmarkTypeEnum = "NOSE_TIP"
+	LandmarkTypeLeftEdgeOfMouth  LandmarkTypeEnum = "LEFT_EDGE_OF_MOUTH"
+	LandmarkTypeRightEdgeOfMouth LandmarkTypeEnum = "RIGHT_EDGE_OF_MOUTH"
+)
+
+var mappingLandmarkTypeEnum = map[string]LandmarkTypeEnum{
+	"LEFT_EYE":            LandmarkTypeLeftEye,
+	"RIGHT_EYE":           LandmarkTypeRightEye,
+	"NOSE_TIP":            LandmarkTypeNoseTip,
+	"LEFT_EDGE_OF_MOUTH":  LandmarkTypeLeftEdgeOfMouth,
+	"RIGHT_EDGE_OF_MOUTH": LandmarkTypeRightEdgeOfMouth,
+}
+
+var mappingLandmarkTypeEnumLowerCase = map[string]LandmarkTypeEnum{
+	"left_eye":            LandmarkTypeLeftEye,
+	"right_eye":           LandmarkTypeRightEye,
+	"nose_tip":            LandmarkTypeNoseTip,
+	"left_edge_of_mouth":  LandmarkTypeLeftEdgeOfMouth,
+	"right_edge_of_mouth": LandmarkTypeRightEdgeOfMouth,
+}
+
+// GetLandmarkTypeEnumValues Enumerates the set of values for LandmarkTypeEnum
+func GetLandmarkTypeEnumValues() []LandmarkTypeEnum {
+	values := make([]LandmarkTypeEnum, 0)
+	for _, v := range mappingLandmarkTypeEnum {
+		values = append(values, v)
+	}
+	return values
+}
+
+// GetLandmarkTypeEnumStringValues Enumerates the set of values in String for LandmarkTypeEnum
+func GetLandmarkTypeEnumStringValues() []string {
+	return []string{
+		"LEFT_EYE",
+		"RIGHT_EYE",
+		"NOSE_TIP",
+		"LEFT_EDGE_OF_MOUTH",
+		"RIGHT_EDGE_OF_MOUTH",
+	}
+}
+
+// GetMappingLandmarkTypeEnum performs case Insensitive comparison on enum value and return the desired enum
+func GetMappingLandmarkTypeEnum(val string) (LandmarkTypeEnum, bool) {
+	enum, ok := mappingLandmarkTypeEnumLowerCase[strings.ToLower(val)]
+	return enum, ok
+}

aivision/object_storage_dataset.go

@@ -20,13 +20,13 @@ import (
 type ObjectStorageDataset struct {
 
 	// The namespace name of the Object Storage bucket that contains the input data file.
-	NamespaceName *string `mandatory:"false" json:"namespaceName"`
+	NamespaceName *string `mandatory:"true" json:"namespaceName"`
 
 	// The name of the Object Storage bucket that contains the input data file.
-	BucketName *string `mandatory:"false" json:"bucketName"`
+	BucketName *string `mandatory:"true" json:"bucketName"`
 
 	// The object name of the input data file.
-	ObjectName *string `mandatory:"false" json:"objectName"`
+	ObjectName *string `mandatory:"true" json:"objectName"`
 }
 
 func (m ObjectStorageDataset) String() string {

announcementsservice/announcement.go

@@ -65,6 +65,9 @@ type Announcement struct {
 	// The name of the environment that this announcement pertains to.
 	EnvironmentName *string `mandatory:"false" json:"environmentName"`
 
+	// The sequence of connected announcements, or announcement chain, that this announcement belongs to. Related announcements share the same chain ID.
+	ChainId *string `mandatory:"false" json:"chainId"`
+
 	// A detailed explanation of the event, expressed by using Markdown language. Avoid entering
 	// confidential information.
 	Description *string `mandatory:"false" json:"description"`
@@ -185,6 +188,11 @@ func (m Announcement) GetPlatformType() BaseAnnouncementPlatformTypeEnum {
 	return m.PlatformType
 }
 
+//GetChainId returns ChainId
+func (m Announcement) GetChainId() *string {
+	return m.ChainId
+}
+
 func (m Announcement) String() string {
 	return common.PointerString(m)
 }

announcementsservice/announcement_subscription.go

@@ -56,10 +56,10 @@ type AnnouncementSubscription struct {
 	// A list of filter groups for the announcement subscription. A filter group is a combination of multiple filters applied to announcements for matching purposes.
 	FilterGroups map[string]FilterGroup `mandatory:"false" json:"filterGroups"`
 
-	// (For announcement subscriptions with Oracle Fusion Applications configured as the service only) The language in which the user prefers to receive emailed announcements. Specify the preference with a value that uses the language tag format (x-obmcs-human-language). For example fr-FR.
+	// (For announcement subscriptions with SaaS configured as the platform type or Oracle Fusion Applications as the service, or both, only) The language in which the user prefers to receive emailed announcements. Specify the preference with a value that uses the x-obmcs-human-language format. For example fr-FR.
 	PreferredLanguage *string `mandatory:"false" json:"preferredLanguage"`
 
-	// The time zone that the user prefers for announcement time stamps. Specify the preference with a value that uses the IANA Time Zone Database format (x-obmcs-time-zone). For example America/Los_Angeles.
+	// The time zone in which the user prefers to receive announcements. Specify the preference with a value that uses the IANA Time Zone Database format (x-obmcs-time-zone). For example - America/Los_Angeles
 	PreferredTimeZone *string `mandatory:"false" json:"preferredTimeZone"`
 
 	// Usage of system tag keys. These predefined keys are scoped to namespaces.