# frozen_string_literal: true
# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: google/cloud/aiplatform/v1/pipeline_job.proto

require 'google/protobuf'

require 'google/api/field_behavior_pb'
require 'google/api/resource_pb'
require 'google/cloud/aiplatform/v1/artifact_pb'
require 'google/cloud/aiplatform/v1/context_pb'
require 'google/cloud/aiplatform/v1/encryption_spec_pb'
require 'google/cloud/aiplatform/v1/execution_pb'
require 'google/cloud/aiplatform/v1/pipeline_failure_policy_pb'
require 'google/cloud/aiplatform/v1/pipeline_state_pb'
require 'google/cloud/aiplatform/v1/value_pb'
require 'google/protobuf/struct_pb'
require 'google/protobuf/timestamp_pb'
require 'google/rpc/status_pb'


descriptor_data = "\n-google/cloud/aiplatform/v1/pipeline_job.proto\x12\x1agoogle.cloud.aiplatform.v1\x1a\x1fgoogle/api/field_behavior.proto\x1a\x19google/api/resource.proto\x1a)google/cloud/aiplatform/v1/artifact.proto\x1a(google/cloud/aiplatform/v1/context.proto\x1a\x30google/cloud/aiplatform/v1/encryption_spec.proto\x1a*google/cloud/aiplatform/v1/execution.proto\x1a\x38google/cloud/aiplatform/v1/pipeline_failure_policy.proto\x1a/google/cloud/aiplatform/v1/pipeline_state.proto\x1a&google/cloud/aiplatform/v1/value.proto\x1a\x1cgoogle/protobuf/struct.proto\x1a\x1fgoogle/protobuf/timestamp.proto\x1a\x17google/rpc/status.proto\"\x98\x0e\n\x0bPipelineJob\x12\x11\n\x04name\x18\x01 \x01(\tB\x03\xe0\x41\x03\x12\x14\n\x0c\x64isplay_name\x18\x02 \x01(\t\x12\x34\n\x0b\x63reate_time\x18\x03 \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12\x33\n\nstart_time\x18\x04 \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12\x31\n\x08\x65nd_time\x18\x05 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pool = Google::Protobuf::DescriptorPool.generated_pool

begin
  pool.add_serialized_file(descriptor_data)
rescue TypeError => e
  # 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.protobuf.Struct", "google/protobuf/struct.proto"],
    ["google.rpc.Status", "google/rpc/status.proto"],
    ["google.cloud.aiplatform.v1.EncryptionSpec", "google/cloud/aiplatform/v1/encryption_spec.proto"],
    ["google.cloud.aiplatform.v1.Value", "google/cloud/aiplatform/v1/value.proto"],
    ["google.cloud.aiplatform.v1.Context", "google/cloud/aiplatform/v1/context.proto"],
    ["google.cloud.aiplatform.v1.Execution", "google/cloud/aiplatform/v1/execution.proto"],
    ["google.cloud.aiplatform.v1.Artifact", "google/cloud/aiplatform/v1/artifact.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
        PipelineJob = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.PipelineJob").msgclass
        PipelineJob::RuntimeConfig = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig").msgclass
        PipelineJob::RuntimeConfig::InputArtifact = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.InputArtifact").msgclass
        PipelineTemplateMetadata = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.PipelineTemplateMetadata").msgclass
        PipelineJobDetail = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.PipelineJobDetail").msgclass
        PipelineTaskDetail = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.PipelineTaskDetail").msgclass
        PipelineTaskDetail::PipelineTaskStatus = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.PipelineTaskDetail.PipelineTaskStatus").msgclass
        PipelineTaskDetail::ArtifactList = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList").msgclass
        PipelineTaskDetail::State = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.PipelineTaskDetail.State").enummodule
        PipelineTaskExecutorDetail = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.PipelineTaskExecutorDetail").msgclass
        PipelineTaskExecutorDetail::ContainerDetail = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail").msgclass
        PipelineTaskExecutorDetail::CustomJobDetail = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail").msgclass
      end
    end
  end
end