# frozen_string_literal: true
# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: google/cloud/aiplatform/v1/featurestore.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/protobuf/timestamp_pb'


descriptor_data = "\n-google/cloud/aiplatform/v1/featurestore.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\x1fgoogle/protobuf/timestamp.proto\"\x83\x08\n\x0c\x46\x65\x61turestore\x12\x11\n\x04name\x18\x01 \x01(\tB\x03\xe0\x41\x03\x12\x34\n\x0b\x63reate_time\x18\x03 \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12\x34\n\x0bupdate_time\x18\x04 \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12\x11\n\x04\x65tag\x18\x05 \x01(\tB\x03\xe0\x41\x01\x12I\n\x06labels\x18\x06 \x03(\x0b\x32\x34.google.cloud.aiplatform.v1.Featurestore.LabelsEntryB\x03\xe0\x41\x01\x12`\n\x15online_serving_config\x18\x07 \x01(\x0b\x32<.google.cloud.aiplatform.v1.Featurestore.OnlineServingConfigB\x03\xe0\x41\x01\x12\x42\n\x05state\x18\x08 \x01(\x0e\x32..google.cloud.aiplatform.v1.Featurestore.StateB\x03\xe0\x41\x03\x12$\n\x17online_storage_ttl_days\x18\r \x01(\x05\x42\x03\xe0\x41\x01\x12H\n\x0f\x65ncryption_spec\x18\n \x01(\x0b\x32*.google.cloud.aiplatform.v1.EncryptionSpecB\x03\xe0\x41\x01\x12\x1a\n\rsatisfies_pzs\x18\x0e \x01(\x08\x42\x03\xe0\x41\x03\x12\x1a\n\rsatisfies_pzi\x18\x0f \x01(\x08\x42\x03\xe0\x41\x03\x1a\xeb\x01\n\x13OnlineServingConfig\x12\x18\n\x10\x66ixed_node_count\x18\x02 \x01(\x05\x12U\n\x07scaling\x18\x04 \x01(\x0b\x32\x44.google.cloud.aiplatform.v1.Featurestore.OnlineServingConfig.Scaling\x1a\x63\n\x07Scaling\x12\x1b\n\x0emin_node_count\x18\x01 \x01(\x05\x42\x03\xe0\x41\x02\x12\x16\n\x0emax_node_count\x18\x02 \x01(\x05\x12#\n\x16\x63pu_utilization_target\x18\x03 \x01(\x05\x42\x03\xe0\x41\x01\x1a-\n\x0bLabelsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\"8\n\x05State\x12\x15\n\x11STATE_UNSPECIFIED\x10\x00\x12\n\n\x06STABLE\x10\x01\x12\x0c\n\x08UPDATING\x10\x02:q\xea\x41n\n&aiplatform.googleapis.com/Featurestore\x12\x44projects/{project}/locations/{location}/featurestores/{featurestore}B\xcf\x01\n\x1e\x63om.google.cloud.aiplatform.v1B\x11\x46\x65\x61turestoreProtoP\x01Z>cloud.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"],
  ]
  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
        Featurestore = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.Featurestore").msgclass
        Featurestore::OnlineServingConfig = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.Featurestore.OnlineServingConfig").msgclass
        Featurestore::OnlineServingConfig::Scaling = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.Featurestore.OnlineServingConfig.Scaling").msgclass
        Featurestore::State = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.Featurestore.State").enummodule
      end
    end
  end
end
