# frozen_string_literal: true # Generated by the protocol buffer compiler. DO NOT EDIT! # source: google/cloud/aiplatform/v1/endpoint.proto require 'google/protobuf' require 'google/api/field_behavior_pb' require 'google/api/resource_pb' require 'google/cloud/aiplatform/v1/encryption_spec_pb' require 'google/cloud/aiplatform/v1/explanation_pb' require 'google/cloud/aiplatform/v1/io_pb' require 'google/cloud/aiplatform/v1/machine_resources_pb' require 'google/cloud/aiplatform/v1/service_networking_pb' require 'google/protobuf/timestamp_pb' descriptor_data = "\n)google/cloud/aiplatform/v1/endpoint.proto\x12\x1agoogle.cloud.aiplatform.v1\x1a\x1fgoogle/api/field_behavior.proto\x1a\x19google/api/resource.proto\x1a\x30google/cloud/aiplatform/v1/encryption_spec.proto\x1a,google/cloud/aiplatform/v1/explanation.proto\x1a#google/cloud/aiplatform/v1/io.proto\x1a\x32google/cloud/aiplatform/v1/machine_resources.proto\x1a\x33google/cloud/aiplatform/v1/service_networking.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\xa9\n\n\x08\x45ndpoint\x12\x11\n\x04name\x18\x01 \x01(\tB\x03\xe0\x41\x03\x12\x19\n\x0c\x64isplay_name\x18\x02 \x01(\tB\x03\xe0\x41\x02\x12\x13\n\x0b\x64\x65scription\x18\x03 \x01(\t\x12G\n\x0f\x64\x65ployed_models\x18\x04 \x03(\x0b\x32).google.cloud.aiplatform.v1.DeployedModelB\x03\xe0\x41\x03\x12M\n\rtraffic_split\x18\x05 \x03(\x0b\x32\x36.google.cloud.aiplatform.v1.Endpoint.TrafficSplitEntry\x12\x0c\n\x04\x65tag\x18\x06 \x01(\t\x12@\n\x06labels\x18\x07 \x03(\x0b\x32\x30.google.cloud.aiplatform.v1.Endpoint.LabelsEntry\x12\x34\n\x0b\x63reate_time\x18\x08 \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12\x34\n\x0bupdate_time\x18\t \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12\x43\n\x0f\x65ncryption_spec\x18\n \x01(\x0b\x32*.google.cloud.aiplatform.v1.EncryptionSpec\x12\x37\n\x07network\x18\r \x01(\tB&\xe0\x41\x01\xfa\x41 \n\x1e\x63ompute.googleapis.com/Network\x12*\n\x1e\x65nable_private_service_connect\x18\x11 \x01(\x08\x42\x02\x18\x01\x12\x64\n\x1eprivate_service_connect_config\x18\x15 \x01(\x0b\x32\x37.google.cloud.aiplatform.v1.PrivateServiceConnectConfigB\x03\xe0\x41\x01\x12g\n\x1fmodel_deployment_monitoring_job\x18\x0e \x01(\tB>\xe0\x41\x03\xfa\x41\x38\n6aiplatform.googleapis.com/ModelDeploymentMonitoringJob\x12p\n\'predict_request_response_logging_config\x18\x12 \x01(\x0b\x32?.google.cloud.aiplatform.v1.PredictRequestResponseLoggingConfig\x12\"\n\x1a\x64\x65\x64icated_endpoint_enabled\x18\x18 \x01(\x08\x12#\n\x16\x64\x65\x64icated_endpoint_dns\x18\x19 \x01(\tB\x03\xe0\x41\x03\x12\x1a\n\rsatisfies_pzs\x18\x1b \x01(\x08\x42\x03\xe0\x41\x03\x12\x1a\n\rsatisfies_pzi\x18\x1c \x01(\x08\x42\x03\xe0\x41\x03\x1a\x33\n\x11TrafficSplitEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\x05:\x02\x38\x01\x1a-\n\x0bLabelsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01:\xb5\x01\xea\x41\xb1\x01\n\"aiplatform.googleapis.com/Endpoint\x12cloud.google.com/go/aiplatform/apiv1/aiplatformpb;aiplatformpb\xaa\x02\x1aGoogle.Cloud.AIPlatform.V1\xca\x02\x1aGoogle\\Cloud\\AIPlatform\\V1\xea\x02\x1dGoogle::Cloud::AIPlatform::V1b\x06proto3" pool = Google::Protobuf::DescriptorPool.generated_pool begin pool.add_serialized_file(descriptor_data) rescue TypeError # Compatibility code: will be removed in the next major version. require 'google/protobuf/descriptor_pb' parsed = Google::Protobuf::FileDescriptorProto.decode(descriptor_data) parsed.clear_dependency serialized = parsed.class.encode(parsed) file = pool.add_serialized_file(serialized) warn "Warning: Protobuf detected an import path issue while loading generated file #{__FILE__}" imports = [ ["google.protobuf.Timestamp", "google/protobuf/timestamp.proto"], ["google.cloud.aiplatform.v1.EncryptionSpec", "google/cloud/aiplatform/v1/encryption_spec.proto"], ["google.cloud.aiplatform.v1.PrivateServiceConnectConfig", "google/cloud/aiplatform/v1/service_networking.proto"], ["google.cloud.aiplatform.v1.DedicatedResources", "google/cloud/aiplatform/v1/machine_resources.proto"], ["google.cloud.aiplatform.v1.ExplanationSpec", "google/cloud/aiplatform/v1/explanation.proto"], ["google.cloud.aiplatform.v1.BigQueryDestination", "google/cloud/aiplatform/v1/io.proto"], ] imports.each do |type_name, expected_filename| import_file = pool.lookup(type_name).file_descriptor if import_file.name != expected_filename warn "- #{file.name} imports #{expected_filename}, but that import was loaded as #{import_file.name}" end end warn "Each proto file must use a consistent fully-qualified name." warn "This will become an error in the next major version." end module Google module Cloud module AIPlatform module V1 Endpoint = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.Endpoint").msgclass DeployedModel = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.DeployedModel").msgclass PrivateEndpoints = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.PrivateEndpoints").msgclass PredictRequestResponseLoggingConfig = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.PredictRequestResponseLoggingConfig").msgclass end end end end