# 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/duration_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\x1egoogle/protobuf/duration.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\xff\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 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\x01(\x0b\x32\x32.google.cloud.aiplatform.v1.FasterDeploymentConfig\x12\x45\n\x06status\x18\x1a \x01(\x0b\x32\x30.google.cloud.aiplatform.v1.DeployedModel.StatusB\x03\xe0\x41\x03\x12R\n\rsystem_labels\x18\x1c \x03(\x0b\x32;.google.cloud.aiplatform.v1.DeployedModel.SystemLabelsEntry\x1a\x7f\n\x06Status\x12\x14\n\x07message\x18\x01 \x01(\tB\x03\xe0\x41\x03\x12\x39\n\x10last_update_time\x18\x02 \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12$\n\x17\x61vailable_replica_count\x18\x03 \x01(\x05\x42\x03\xe0\x41\x03\x1a\x33\n\x11SystemLabelsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\x42\x16\n\x14prediction_resources\"\x8f\x01\n\x10PrivateEndpoints\x12\x1d\n\x10predict_http_uri\x18\x01 \x01(\tB\x03\xe0\x41\x03\x12\x1d\n\x10\x65xplain_http_uri\x18\x02 \x01(\tB\x03\xe0\x41\x03\x12\x1c\n\x0fhealth_http_uri\x18\x03 \x01(\tB\x03\xe0\x41\x03\x12\x1f\n\x12service_attachment\x18\x04 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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"],
    ["google.protobuf.Duration", "google/protobuf/duration.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
        DeployedModel::Status = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.DeployedModel.Status").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
        FasterDeploymentConfig = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.FasterDeploymentConfig").msgclass
        ClientConnectionConfig = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ClientConnectionConfig").msgclass
      end
    end
  end
end