Open-Prediction Scaler

Open-Prediction Scaler/keda/pkg/scalers/open_prediction_scaler.go

+package scalers
+
+import (
+	"context"
+	"fmt"
+	"log"
+	"strconv"
+	"time"
+
+	"github.com/go-logr/logr"
+	"github.com/go-playground/validator/v10"
+	"github.com/xhit/go-str2duration/v2"
+	v2 "k8s.io/api/autoscaling/v2"
+	"k8s.io/metrics/pkg/apis/external_metrics"
+
+	kedautil "github.com/kedacore/keda/v2/pkg/util"
+
+	"github.com/mhdbashar/prediction-go/prediction"
+	"google.golang.org/grpc"
+
+	"github.com/prometheus/client_golang/api"
+	v1 "github.com/prometheus/client_golang/api/prometheus/v1"
+	"github.com/prometheus/common/model"
+)
+
+const (
+	openPredictionMetricType   = "External"
+	openPredictionMetricPrefix = "openPrediction_metric"
+)
+
+var (
+	default_step = "15m"
+)
+
+type openPredictionScaler struct {
+	metrictype       v2.MetricTargetType
+	metadata         *openPredictionMetadata
+	prometheusClient api.Client
+	api              v1.API
+	grpcConn         *grpc.ClientConn
+	grpcClient       prediction.PredictionServiceClient
+	logger           logr.Logger
+}
+
+type openPredictionMetadata struct {
+	history                  string
+	stepDuration             string
+	verticalWindow           int
+	horizontalWindow         int
+	prometheusAddress        string
+	predictionServiceAddress string
+	query                    string
+	threshold                float64
+	activationThreshold      float64
+	scalerIndex              int
+}
+
+func (s *openPredictionScaler) setupClientConn(predictionServiceAddress string) error {
+
+	conn, err := grpc.Dial(predictionServiceAddress, grpc.WithInsecure())
+	if err != nil {
+		log.Fatalf("Failed to connect: %v", err)
+		return err
+	}
+	s.grpcConn = conn
+
+	client := prediction.NewPredictionServiceClient(conn)
+	s.grpcClient = client
+
+	return err
+}
+
+func NewopenPredictionScaler(ctx context.Context, config *ScalerConfig) (Scaler, error) {
+	// logger metrictype metadata prometheusClie api grpcConn  grpcClient
+
+	s := &openPredictionScaler{}
+
+	// logger
+	logger := InitializeLogger(config, "openPrediction_scaler")
+	s.logger = logger
+
+	// metrictype
+	metrictype, err := GetMetricTargetType(config)
+	if err != nil {
+		logger.Error(err, "error getting scaler metric type")
+		return nil, fmt.Errorf("error getting scaler metric type: %w", err)
+	}
+	s.metrictype = metrictype
+
+	// metadata
+	meta, err := parseOpenPredictionMetaData(config)
+	if err != nil {
+		return nil, fmt.Errorf("error parsing OpenPrediction metadata: %s", err)
+	}
+	s.metadata = meta
+
+	// prometheusClient api
+	err = s.initOpenPredictionPrometheusConn(ctx)
+	if err != nil {
+		logger.Error(err, "error create Prometheus client and API objects")
+		return nil, fmt.Errorf("error create Prometheus client and API objects: %3s", err)
+	}
+
+	// grpcConn grpcClient
+	err = s.setupClientConn(meta.predictionServiceAddress)
+	if err != nil {
+		logger.Error(err, "error init GRPC client")
+		return nil, fmt.Errorf("error init GRPC client: %3s", err)
+	}
+
+	return s, nil
+}
+
+func parseOpenPredictionMetaData(config *ScalerConfig) (result *openPredictionMetadata, err error) {
+
+	validate := validator.New()
+	meta := openPredictionMetadata{}
+
+	//history
+	if val, ok := config.TriggerMetadata["history"]; ok {
+		if len(val) == 0 {
+			return nil, fmt.Errorf("no history given")
+		}
+		meta.history = val
+	} else {
+		return nil, fmt.Errorf("no history given")
+	}
+
+	//stepDuration
+	if val, ok := config.TriggerMetadata["stepDuration"]; ok {
+		if len(val) == 0 {
+			return nil, fmt.Errorf("no stepDuration given")
+		}
+		meta.stepDuration = val
+	} else {
+		return nil, fmt.Errorf("no stepDuration given")
+	}
+
+	//verticalWindow
+	if val, ok := config.TriggerMetadata["verticalWindow"]; ok {
+		verticalWindow, err := strconv.Atoi(val)
+		if err != nil {
+			return nil, fmt.Errorf("verticalWindow parsing error %w", err)
+		}
+		meta.verticalWindow = verticalWindow
+	} else {
+		return nil, fmt.Errorf("no verticalWindow given")
+	}
+
+	//horizontalWindow
+	if val, ok := config.TriggerMetadata["horizontalWindow"]; ok {
+		horizontalWindow, err := strconv.Atoi(val)
+		if err != nil {
+			return nil, fmt.Errorf("horizontalWindow parsing error %w", err)
+		}
+		meta.horizontalWindow = horizontalWindow
+	} else {
+		return nil, fmt.Errorf("no horizontalWindow given")
+	}
+
+	//prometheusAddress
+	if val, ok := config.TriggerMetadata["prometheusAddress"]; ok {
+		err = validate.Var(val, "url")
+		if err != nil {
+			return nil, fmt.Errorf("invalid prometheusAddress")
+		}
+		meta.prometheusAddress = val
+	} else {
+		return nil, fmt.Errorf("no prometheusAddress given")
+	}
+
+	// predictionServiceAddress
+	if val, ok := config.TriggerMetadata["predictionServiceAddress"]; ok {
+		if len(val) == 0 {
+			return nil, fmt.Errorf("invalid predictionServiceAddress")
+		}
+		meta.predictionServiceAddress = val
+	} else {
+		return nil, fmt.Errorf("no predictionServiceAddress given")
+	}
+
+	//query
+	if val, ok := config.TriggerMetadata["query"]; ok {
+		if len(val) == 0 {
+			return nil, fmt.Errorf("no query given")
+		}
+		meta.query = val
+	} else {
+		return nil, fmt.Errorf("no query given")
+	}
+
+	//threshold
+	if val, ok := config.TriggerMetadata["threshold"]; ok {
+		threshold, err := strconv.ParseFloat(val, 64)
+		if err != nil {
+			return nil, fmt.Errorf("threshold parsing error %w", err)
+		}
+		meta.threshold = threshold
+	} else {
+		return nil, fmt.Errorf("no threshold given")
+	}
+
+	//activationThreshold
+	meta.activationThreshold = 0
+	if val, ok := config.TriggerMetadata["activationThreshold"]; ok {
+		activationThreshold, err := strconv.ParseFloat(val, 64)
+		if err != nil {
+			return nil, fmt.Errorf("activationThreshold parsing error %w", err)
+		}
+		meta.activationThreshold = activationThreshold
+	}
+
+	// scalerIndex
+	meta.scalerIndex = config.ScalerIndex
+
+	return &meta, nil
+}
+
+func (s *openPredictionScaler) Close(_ context.Context) error {
+	if s != nil && s.grpcConn != nil {
+		return s.grpcConn.Close()
+	}
+	return nil
+}
+
+func (s *openPredictionScaler) GetMetricSpecForScaling(context.Context) []v2.MetricSpec {
+	metricName := kedautil.NormalizeString(fmt.Sprintf("openPrediction-%s", openPredictionMetricPrefix))
+	externalMetric := &v2.ExternalMetricSource{
+		Metric: v2.MetricIdentifier{
+			Name: GenerateMetricNameWithIndex(s.metadata.scalerIndex, metricName),
+		},
+		Target: GetMetricTargetMili(s.metrictype, s.metadata.threshold),
+	}
+
+	metricSpec := v2.MetricSpec{
+		External: externalMetric, Type: openPredictionMetricType,
+	}
+	return []v2.MetricSpec{metricSpec}
+}
+
+func (s *openPredictionScaler) GetMetricsAndActivity(ctx context.Context, metricName string) ([]external_metrics.ExternalMetricValue, bool, error) {
+	value, activationValue, err := s.doPredictRequest(ctx)
+	if err != nil {
+		s.logger.Error(err, "error executing query to predict controller service")
+		return []external_metrics.ExternalMetricValue{}, false, err
+	}
+
+	if value == 0 {
+		s.logger.V(1).Info("empty response after predict request")
+		return []external_metrics.ExternalMetricValue{}, false, nil
+	}
+
+	s.logger.V(1).Info(fmt.Sprintf("predict value is: %f", value))
+
+	metric := GenerateMetricInMili(metricName, value)
+
+	return []external_metrics.ExternalMetricValue{metric}, activationValue > s.metadata.activationThreshold, nil
+}
+
+func (s *openPredictionScaler) doPredictRequest(ctx context.Context) (float64, float64, error) {
+	results, err := s.doQuery(ctx)
+	if err != nil {
+		return 0, 0, err
+	}
+
+	metricName := GenerateMetricNameWithIndex(s.metadata.scalerIndex, kedautil.NormalizeString(fmt.Sprintf("openPrediction-%s", openPredictionMetricPrefix)))
+
+	requestData := &prediction.PredictionRequest{
+		MicorserviceName:        metricName,
+		Measurements:            results,
+		History:                 s.metadata.history,
+		StepDuration:            s.metadata.stepDuration,
+		PredictVerticalWindow:   int32(s.metadata.verticalWindow),
+		PredictHorizontalWindow: int32(s.metadata.horizontalWindow),
+	}
+
+	resp, err := s.grpcClient.ProcessData(ctx, requestData)
+
+	if err != nil {
+		return 0, 0, err
+	}
+
+	var y float64
+	if len(results) > 0 {
+		y = results[len(results)-1]
+	}
+
+	x := float64(resp.Result)
+
+	return func(x, y float64) float64 {
+		if x < y {
+			return y
+		}
+		return x
+	}(x, y), y, nil
+}
+
+func (s *openPredictionScaler) doQuery(ctx context.Context) ([]float64, error) {
+	currentTime := time.Now().UTC()
+
+	if s.metadata.stepDuration == "" {
+		s.metadata.stepDuration = default_step
+	}
+
+	//parse string to Duration
+	history, err := str2duration.ParseDuration(s.metadata.history)
+	if err != nil {
+		return nil, fmt.Errorf("history parsing error %w", err)
+	}
+
+	stepDuration, err := str2duration.ParseDuration(s.metadata.stepDuration)
+	if err != nil {
+		return nil, fmt.Errorf("stepDuration parsing error %w", err)
+	}
+
+	r := v1.Range{
+		Start: currentTime.Add(-history),
+		End:   currentTime,
+		Step:  stepDuration,
+	}
+
+	val, warns, err := s.api.QueryRange(ctx, s.metadata.query, r)
+
+	if len(warns) > 0 {
+		s.logger.V(1).Info("warnings", warns)
+	}
+
+	if err != nil {
+		return nil, err
+	}
+
+	return s.parsePrometheusResult(val)
+}
+
+// parsePrometheusResult parsing response from prometheus server.
+func (s *openPredictionScaler) parsePrometheusResult(result model.Value) (out []float64, err error) {
+	switch result.Type() {
+	case model.ValVector:
+		if res, ok := result.(model.Vector); ok {
+			for _, val := range res {
+				if err != nil {
+					return nil, err
+				}
+				out = append(out, float64(val.Value))
+			}
+		}
+	case model.ValMatrix:
+		if res, ok := result.(model.Matrix); ok {
+			for _, val := range res {
+				for _, v := range val.Values {
+					if err != nil {
+						return nil, err
+					}
+
+					out = append(out, float64(v.Value))
+				}
+			}
+		}
+	case model.ValScalar:
+		if res, ok := result.(*model.Scalar); ok {
+			if err != nil {
+				return nil, err
+			}
+
+			out = append(out, float64(res.Value))
+		}
+	case model.ValString:
+		if res, ok := result.(*model.String); ok {
+			if err != nil {
+				return nil, err
+			}
+
+			s, err := strconv.ParseFloat(res.Value, 64)
+			if err != nil {
+				return nil, err
+			}
+
+			out = append(out, s)
+		}
+	default:
+		return nil, err
+	}
+
+	return out, nil
+}
+
+// initOpenPredictionPrometheusConn init prometheus client and setup connection to API
+func (s *openPredictionScaler) initOpenPredictionPrometheusConn(ctx context.Context) (err error) {
+
+	client, err := api.NewClient(api.Config{
+		Address: s.metadata.prometheusAddress,
+	})
+	if err != nil {
+		s.logger.V(1).Error(err, "init Prometheus client")
+		return err
+	}
+	s.prometheusClient = client
+	s.api = v1.NewAPI(s.prometheusClient)
+
+	return s.ping(ctx)
+}
+
+func (s *openPredictionScaler) ping(ctx context.Context) (err error) {
+	_, err = s.api.Runtimeinfo(ctx)
+	return err
+}

Open-Prediction Scaler/keda/pkg/scaling/scalers_builder.go

+/*
+Copyright 2023 The KEDA Authors
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+*/
+
+package scaling
+
+import (
+	"context"
+	"fmt"
+
+	corev1 "k8s.io/api/core/v1"
+	"sigs.k8s.io/controller-runtime/pkg/client"
+
+	kedav1alpha1 "github.com/kedacore/keda/v2/apis/keda/v1alpha1"
+	"github.com/kedacore/keda/v2/pkg/common/message"
+	"github.com/kedacore/keda/v2/pkg/eventreason"
+	"github.com/kedacore/keda/v2/pkg/scalers"
+	"github.com/kedacore/keda/v2/pkg/scaling/cache"
+	"github.com/kedacore/keda/v2/pkg/scaling/resolver"
+)
+
+/// --------------------------------------------------------------------------- ///
+/// ----------            Scaler-Building related methods             --------- ///
+/// --------------------------------------------------------------------------- ///
+
+// buildScalers returns list of Scalers for the specified triggers
+func (h *scaleHandler) buildScalers(ctx context.Context, withTriggers *kedav1alpha1.WithTriggers, podTemplateSpec *corev1.PodTemplateSpec, containerName string) ([]cache.ScalerBuilder, error) {
+	logger := log.WithValues("type", withTriggers.Kind, "namespace", withTriggers.Namespace, "name", withTriggers.Name)
+	var err error
+	resolvedEnv := make(map[string]string)
+	result := make([]cache.ScalerBuilder, 0, len(withTriggers.Spec.Triggers))
+
+	for i, t := range withTriggers.Spec.Triggers {
+		triggerIndex, trigger := i, t
+
+		factory := func() (scalers.Scaler, *scalers.ScalerConfig, error) {
+			if podTemplateSpec != nil {
+				resolvedEnv, err = resolver.ResolveContainerEnv(ctx, h.client, logger, &podTemplateSpec.Spec, containerName, withTriggers.Namespace, h.secretsLister)
+				if err != nil {
+					return nil, nil, fmt.Errorf("error resolving secrets for ScaleTarget: %w", err)
+				}
+			}
+			config := &scalers.ScalerConfig{
+				ScalableObjectName:      withTriggers.Name,
+				ScalableObjectNamespace: withTriggers.Namespace,
+				ScalableObjectType:      withTriggers.Kind,
+				TriggerName:             trigger.Name,
+				TriggerMetadata:         trigger.Metadata,
+				TriggerUseCachedMetrics: trigger.UseCachedMetrics,
+				ResolvedEnv:             resolvedEnv,
+				AuthParams:              make(map[string]string),
+				GlobalHTTPTimeout:       h.globalHTTPTimeout,
+				ScalerIndex:             triggerIndex,
+				MetricType:              trigger.MetricType,
+			}
+
+			authParams, podIdentity, err := resolver.ResolveAuthRefAndPodIdentity(ctx, h.client, logger, trigger.AuthenticationRef, podTemplateSpec, withTriggers.Namespace, h.secretsLister)
+			if err != nil {
+				return nil, nil, err
+			}
+			config.AuthParams = authParams
+			config.PodIdentity = podIdentity
+			scaler, err := buildScaler(ctx, h.client, trigger.Type, config)
+			return scaler, config, err
+		}
+
+		scaler, config, err := factory()
+		if err != nil {
+			h.recorder.Event(withTriggers, corev1.EventTypeWarning, eventreason.KEDAScalerFailed, err.Error())
+			logger.Error(err, "error resolving auth params", "scalerIndex", triggerIndex)
+			if scaler != nil {
+				scaler.Close(ctx)
+			}
+			for _, builder := range result {
+				builder.Scaler.Close(ctx)
+			}
+			return nil, err
+		}
+		msg := fmt.Sprintf(message.ScalerIsBuiltMsg, trigger.Type)
+		h.recorder.Event(withTriggers, corev1.EventTypeNormal, eventreason.KEDAScalersStarted, msg)
+
+		result = append(result, cache.ScalerBuilder{
+			Scaler:       scaler,
+			ScalerConfig: *config,
+			Factory:      factory,
+		})
+	}
+
+	return result, nil
+}
+
+// buildScaler builds a scaler form input config and trigger type
+func buildScaler(ctx context.Context, client client.Client, triggerType string, config *scalers.ScalerConfig) (scalers.Scaler, error) {
+	// TRIGGERS-START
+	switch triggerType {
+	case "activemq":
+		return scalers.NewActiveMQScaler(config)
+	case "arangodb":
+		return scalers.NewArangoDBScaler(config)
+	case "artemis-queue":
+		return scalers.NewArtemisQueueScaler(config)
+	case "aws-cloudwatch":
+		return scalers.NewAwsCloudwatchScaler(ctx, config)
+	case "aws-dynamodb":
+		return scalers.NewAwsDynamoDBScaler(ctx, config)
+	case "aws-dynamodb-streams":
+		return scalers.NewAwsDynamoDBStreamsScaler(ctx, config)
+	case "aws-kinesis-stream":
+		return scalers.NewAwsKinesisStreamScaler(ctx, config)
+	case "aws-sqs-queue":
+		return scalers.NewAwsSqsQueueScaler(ctx, config)
+	case "azure-app-insights":
+		return scalers.NewAzureAppInsightsScaler(config)
+	case "azure-blob":
+		return scalers.NewAzureBlobScaler(config)
+	case "azure-data-explorer":
+		return scalers.NewAzureDataExplorerScaler(config)
+	case "azure-eventhub":
+		return scalers.NewAzureEventHubScaler(ctx, config)
+	case "azure-log-analytics":
+		return scalers.NewAzureLogAnalyticsScaler(config)
+	case "azure-monitor":
+		return scalers.NewAzureMonitorScaler(config)
+	case "azure-pipelines":
+		return scalers.NewAzurePipelinesScaler(ctx, config)
+	case "azure-queue":
+		return scalers.NewAzureQueueScaler(config)
+	case "azure-servicebus":
+		return scalers.NewAzureServiceBusScaler(ctx, config)
+	case "cassandra":
+		return scalers.NewCassandraScaler(config)
+	case "couchdb":
+		return scalers.NewCouchDBScaler(ctx, config)
+	case "cpu":
+		return scalers.NewCPUMemoryScaler(corev1.ResourceCPU, config)
+	case "cron":
+		return scalers.NewCronScaler(config)
+	case "datadog":
+		return scalers.NewDatadogScaler(ctx, config)
+	case "elasticsearch":
+		return scalers.NewElasticsearchScaler(config)
+	case "etcd":
+		return scalers.NewEtcdScaler(config)
+	case "external":
+		return scalers.NewExternalScaler(config)
+	// TODO: use other way for test.
+	case "external-mock":
+		return scalers.NewExternalMockScaler(config)
+	case "external-push":
+		return scalers.NewExternalPushScaler(config)
+	case "gcp-cloudtasks":
+		return scalers.NewGcpCloudTasksScaler(config)
+	case "gcp-pubsub":
+		return scalers.NewPubSubScaler(config)
+	case "gcp-stackdriver":
+		return scalers.NewStackdriverScaler(ctx, config)
+	case "gcp-storage":
+		return scalers.NewGcsScaler(config)
+	case "github-runner":
+		return scalers.NewGitHubRunnerScaler(config)
+	case "graphite":
+		return scalers.NewGraphiteScaler(config)
+	case "huawei-cloudeye":
+		return scalers.NewHuaweiCloudeyeScaler(config)
+	case "ibmmq":
+		return scalers.NewIBMMQScaler(config)
+	case "influxdb":
+		return scalers.NewInfluxDBScaler(config)
+	case "kafka":
+		return scalers.NewKafkaScaler(config)
+	case "kubernetes-workload":
+		return scalers.NewKubernetesWorkloadScaler(client, config)
+	case "liiklus":
+		return scalers.NewLiiklusScaler(config)
+	case "loki":
+		return scalers.NewLokiScaler(config)
+	case "memory":
+		return scalers.NewCPUMemoryScaler(corev1.ResourceMemory, config)
+	case "metrics-api":
+		return scalers.NewMetricsAPIScaler(config)
+	case "mongodb":
+		return scalers.NewMongoDBScaler(ctx, config)
+	case "mssql":
+		return scalers.NewMSSQLScaler(config)
+	case "mysql":
+		return scalers.NewMySQLScaler(config)
+	case "nats-jetstream":
+		return scalers.NewNATSJetStreamScaler(config)
+	case "new-relic":
+		return scalers.NewNewRelicScaler(config)
+	//Edit by Mhdbashar
+	case "open-prediction":
+		return scalers.NewopenPredictionScaler(ctx, config)
+	case "openstack-metric":
+		return scalers.NewOpenstackMetricScaler(ctx, config)
+	case "openstack-swift":
+		return scalers.NewOpenstackSwiftScaler(ctx, config)
+	case "postgresql":
+		return scalers.NewPostgreSQLScaler(config)
+	case "predictkube":
+		return scalers.NewPredictKubeScaler(ctx, config)
+	case "prometheus":
+		return scalers.NewPrometheusScaler(config)
+	case "pulsar":
+		return scalers.NewPulsarScaler(config)
+	case "rabbitmq":
+		return scalers.NewRabbitMQScaler(config)
+	case "redis":
+		return scalers.NewRedisScaler(ctx, false, false, config)
+	case "redis-cluster":
+		return scalers.NewRedisScaler(ctx, true, false, config)
+	case "redis-cluster-streams":
+		return scalers.NewRedisStreamsScaler(ctx, true, false, config)
+	case "redis-sentinel":
+		return scalers.NewRedisScaler(ctx, false, true, config)
+	case "redis-sentinel-streams":
+		return scalers.NewRedisStreamsScaler(ctx, false, true, config)
+	case "redis-streams":
+		return scalers.NewRedisStreamsScaler(ctx, false, false, config)
+	case "selenium-grid":
+		return scalers.NewSeleniumGridScaler(config)
+	case "solace-event-queue":
+		return scalers.NewSolaceScaler(config)
+	case "solr":
+		return scalers.NewSolrScaler(config)
+	case "stan":
+		return scalers.NewStanScaler(config)
+	default:
+		return nil, fmt.Errorf("no scaler found for type: %s", triggerType)
+	}
+	// TRIGGERS-END
+}

Open-Prediction Scaler/keda/vendor/github.com/mhdbashar/prediction-go/prediction/prediction.pb.go

+// Code generated by protoc-gen-go. DO NOT EDIT.
+// versions:
+// 	protoc-gen-go v1.28.1
+// 	protoc        (unknown)
+// source: prediction.proto
+
+package prediction
+
+import (
+	protoreflect "google.golang.org/protobuf/reflect/protoreflect"
+	protoimpl "google.golang.org/protobuf/runtime/protoimpl"
+	reflect "reflect"
+	sync "sync"
+)
+
+const (
+	// Verify that this generated code is sufficiently up-to-date.
+	_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
+	// Verify that runtime/protoimpl is sufficiently up-to-date.
+	_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
+)
+
+type PredictionRequest struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	MicorserviceName        string    `protobuf:"bytes,1,opt,name=micorservice_name,json=micorserviceName,proto3" json:"micorservice_name,omitempty"`
+	Measurements            []float64 `protobuf:"fixed64,2,rep,packed,name=measurements,proto3" json:"measurements,omitempty"`
+	History                 string    `protobuf:"bytes,3,opt,name=history,proto3" json:"history,omitempty"`
+	StepDuration            string    `protobuf:"bytes,4,opt,name=stepDuration,proto3" json:"stepDuration,omitempty"`
+	PredictVerticalWindow   int32     `protobuf:"varint,5,opt,name=predictVerticalWindow,proto3" json:"predictVerticalWindow,omitempty"`
+	PredictHorizontalWindow int32     `protobuf:"varint,6,opt,name=predictHorizontalWindow,proto3" json:"predictHorizontalWindow,omitempty"`
+}
+
+func (x *PredictionRequest) Reset() {
+	*x = PredictionRequest{}
+	if protoimpl.UnsafeEnabled {
+		mi := &file_prediction_proto_msgTypes[0]
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		ms.StoreMessageInfo(mi)
+	}
+}
+
+func (x *PredictionRequest) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*PredictionRequest) ProtoMessage() {}
+
+func (x *PredictionRequest) ProtoReflect() protoreflect.Message {
+	mi := &file_prediction_proto_msgTypes[0]
+	if protoimpl.UnsafeEnabled && x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
+	}
+	return mi.MessageOf(x)
+}
+
+// Deprecated: Use PredictionRequest.ProtoReflect.Descriptor instead.
+func (*PredictionRequest) Descriptor() ([]byte, []int) {
+	return file_prediction_proto_rawDescGZIP(), []int{0}
+}
+
+func (x *PredictionRequest) GetMicorserviceName() string {
+	if x != nil {
+		return x.MicorserviceName
+	}
+	return ""
+}
+
+func (x *PredictionRequest) GetMeasurements() []float64 {
+	if x != nil {
+		return x.Measurements
+	}
+	return nil
+}
+
+func (x *PredictionRequest) GetHistory() string {
+	if x != nil {
+		return x.History
+	}
+	return ""
+}
+
+func (x *PredictionRequest) GetStepDuration() string {
+	if x != nil {
+		return x.StepDuration
+	}
+	return ""
+}
+
+func (x *PredictionRequest) GetPredictVerticalWindow() int32 {
+	if x != nil {
+		return x.PredictVerticalWindow
+	}
+	return 0
+}
+
+func (x *PredictionRequest) GetPredictHorizontalWindow() int32 {
+	if x != nil {
+		return x.PredictHorizontalWindow
+	}
+	return 0
+}
+
+type PredictionResponse struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	Result int32 `protobuf:"varint,1,opt,name=result,proto3" json:"result,omitempty"`
+}
+
+func (x *PredictionResponse) Reset() {
+	*x = PredictionResponse{}
+	if protoimpl.UnsafeEnabled {
+		mi := &file_prediction_proto_msgTypes[1]
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		ms.StoreMessageInfo(mi)
+	}
+}
+
+func (x *PredictionResponse) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*PredictionResponse) ProtoMessage() {}
+
+func (x *PredictionResponse) ProtoReflect() protoreflect.Message {
+	mi := &file_prediction_proto_msgTypes[1]
+	if protoimpl.UnsafeEnabled && x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
+	}
+	return mi.MessageOf(x)
+}
+
+// Deprecated: Use PredictionResponse.ProtoReflect.Descriptor instead.
+func (*PredictionResponse) Descriptor() ([]byte, []int) {
+	return file_prediction_proto_rawDescGZIP(), []int{1}
+}
+
+func (x *PredictionResponse) GetResult() int32 {
+	if x != nil {
+		return x.Result
+	}
+	return 0
+}
+
+var File_prediction_proto protoreflect.FileDescriptor
+
+var file_prediction_proto_rawDesc = []byte{
+	0x0a, 0x10, 0x70, 0x72, 0x65, 0x64, 0x69, 0x63, 0x74, 0x69, 0x6f, 0x6e, 0x2e, 0x70, 0x72, 0x6f,
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+	0x74, 0x69, 0x6f, 0x6e, 0x62, 0x06, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x33,
+}
+
+var (
+	file_prediction_proto_rawDescOnce sync.Once
+	file_prediction_proto_rawDescData = file_prediction_proto_rawDesc
+)
+
+func file_prediction_proto_rawDescGZIP() []byte {
+	file_prediction_proto_rawDescOnce.Do(func() {
+		file_prediction_proto_rawDescData = protoimpl.X.CompressGZIP(file_prediction_proto_rawDescData)
+	})
+	return file_prediction_proto_rawDescData
+}
+
+var file_prediction_proto_msgTypes = make([]protoimpl.MessageInfo, 2)
+var file_prediction_proto_goTypes = []interface{}{
+	(*PredictionRequest)(nil),  // 0: prediction.PredictionRequest
+	(*PredictionResponse)(nil), // 1: prediction.PredictionResponse
+}
+var file_prediction_proto_depIdxs = []int32{
+	0, // 0: prediction.PredictionService.ProcessData:input_type -> prediction.PredictionRequest
+	1, // 1: prediction.PredictionService.ProcessData:output_type -> prediction.PredictionResponse
+	1, // [1:2] is the sub-list for method output_type
+	0, // [0:1] is the sub-list for method input_type
+	0, // [0:0] is the sub-list for extension type_name
+	0, // [0:0] is the sub-list for extension extendee
+	0, // [0:0] is the sub-list for field type_name
+}
+
+func init() { file_prediction_proto_init() }
+func file_prediction_proto_init() {
+	if File_prediction_proto != nil {
+		return
+	}
+	if !protoimpl.UnsafeEnabled {
+		file_prediction_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
+			switch v := v.(*PredictionRequest); i {
+			case 0:
+				return &v.state
+			case 1:
+				return &v.sizeCache
+			case 2:
+				return &v.unknownFields
+			default:
+				return nil
+			}
+		}
+		file_prediction_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
+			switch v := v.(*PredictionResponse); i {
+			case 0:
+				return &v.state
+			case 1:
+				return &v.sizeCache
+			case 2:
+				return &v.unknownFields
+			default:
+				return nil
+			}
+		}
+	}
+	type x struct{}
+	out := protoimpl.TypeBuilder{
+		File: protoimpl.DescBuilder{
+			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
+			RawDescriptor: file_prediction_proto_rawDesc,
+			NumEnums:      0,
+			NumMessages:   2,
+			NumExtensions: 0,
+			NumServices:   1,
+		},
+		GoTypes:           file_prediction_proto_goTypes,
+		DependencyIndexes: file_prediction_proto_depIdxs,
+		MessageInfos:      file_prediction_proto_msgTypes,
+	}.Build()
+	File_prediction_proto = out.File
+	file_prediction_proto_rawDesc = nil
+	file_prediction_proto_goTypes = nil
+	file_prediction_proto_depIdxs = nil
+}

Open-Prediction Scaler/keda/vendor/github.com/mhdbashar/prediction-go/prediction/prediction_grpc.pb.go

+// Code generated by protoc-gen-go-grpc. DO NOT EDIT.
+// versions:
+// - protoc-gen-go-grpc v1.2.0
+// - protoc             (unknown)
+// source: prediction.proto
+
+package prediction
+
+import (
+	context "context"
+	grpc "google.golang.org/grpc"
+	codes "google.golang.org/grpc/codes"
+	status "google.golang.org/grpc/status"
+)
+
+// This is a compile-time assertion to ensure that this generated file
+// is compatible with the grpc package it is being compiled against.
+// Requires gRPC-Go v1.32.0 or later.
+const _ = grpc.SupportPackageIsVersion7
+
+// PredictionServiceClient is the client API for PredictionService service.
+//
+// For semantics around ctx use and closing/ending streaming RPCs, please refer to https://pkg.go.dev/google.golang.org/grpc/?tab=doc#ClientConn.NewStream.
+type PredictionServiceClient interface {
+	ProcessData(ctx context.Context, in *PredictionRequest, opts ...grpc.CallOption) (*PredictionResponse, error)
+}
+
+type predictionServiceClient struct {
+	cc grpc.ClientConnInterface
+}
+
+func NewPredictionServiceClient(cc grpc.ClientConnInterface) PredictionServiceClient {
+	return &predictionServiceClient{cc}
+}
+
+func (c *predictionServiceClient) ProcessData(ctx context.Context, in *PredictionRequest, opts ...grpc.CallOption) (*PredictionResponse, error) {
+	out := new(PredictionResponse)
+	err := c.cc.Invoke(ctx, "/prediction.PredictionService/ProcessData", in, out, opts...)
+	if err != nil {
+		return nil, err
+	}
+	return out, nil
+}
+
+// PredictionServiceServer is the server API for PredictionService service.
+// All implementations must embed UnimplementedPredictionServiceServer
+// for forward compatibility
+type PredictionServiceServer interface {
+	ProcessData(context.Context, *PredictionRequest) (*PredictionResponse, error)
+	mustEmbedUnimplementedPredictionServiceServer()
+}
+
+// UnimplementedPredictionServiceServer must be embedded to have forward compatible implementations.
+type UnimplementedPredictionServiceServer struct {
+}
+
+func (UnimplementedPredictionServiceServer) ProcessData(context.Context, *PredictionRequest) (*PredictionResponse, error) {
+	return nil, status.Errorf(codes.Unimplemented, "method ProcessData not implemented")
+}
+func (UnimplementedPredictionServiceServer) mustEmbedUnimplementedPredictionServiceServer() {}
+
+// UnsafePredictionServiceServer may be embedded to opt out of forward compatibility for this service.
+// Use of this interface is not recommended, as added methods to PredictionServiceServer will
+// result in compilation errors.
+type UnsafePredictionServiceServer interface {
+	mustEmbedUnimplementedPredictionServiceServer()
+}
+
+func RegisterPredictionServiceServer(s grpc.ServiceRegistrar, srv PredictionServiceServer) {
+	s.RegisterService(&PredictionService_ServiceDesc, srv)
+}
+
+func _PredictionService_ProcessData_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
+	in := new(PredictionRequest)
+	if err := dec(in); err != nil {
+		return nil, err
+	}
+	if interceptor == nil {
+		return srv.(PredictionServiceServer).ProcessData(ctx, in)
+	}
+	info := &grpc.UnaryServerInfo{
+		Server:     srv,
+		FullMethod: "/prediction.PredictionService/ProcessData",
+	}
+	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
+		return srv.(PredictionServiceServer).ProcessData(ctx, req.(*PredictionRequest))
+	}
+	return interceptor(ctx, in, info, handler)
+}
+
+// PredictionService_ServiceDesc is the grpc.ServiceDesc for PredictionService service.
+// It's only intended for direct use with grpc.RegisterService,
+// and not to be introspected or modified (even as a copy)
+var PredictionService_ServiceDesc = grpc.ServiceDesc{
+	ServiceName: "prediction.PredictionService",
+	HandlerType: (*PredictionServiceServer)(nil),
+	Methods: []grpc.MethodDesc{
+		{
+			MethodName: "ProcessData",
+			Handler:    _PredictionService_ProcessData_Handler,
+		},
+	},
+	Streams:  []grpc.StreamDesc{},
+	Metadata: "prediction.proto",
+}