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lib/Google/Cloud/Bigquery/V2/Model.pm  view on Meta::CPAN

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EOF
    Protobuf::DescriptorPool->generated_pool->add_serialized_file(MIME::Base64::decode_base64($descriptor_b64));
}

# Message definitions

# === Message: Google::Cloud::Bigquery::V2::Model::RemoteModelInfo ===
    # Fields for RemoteModelInfo
    # Field: endpoint Type: 9 ()
    # Field: remote_service_type Type: 14 (.google.cloud.bigquery.v2.RemoteModelInfo.RemoteServiceType)
    # Field: connection Type: 9 ()
    # Field: max_batching_rows Type: 3 ()
    # Field: remote_model_version Type: 9 ()
    # Field: speech_recognizer Type: 9 ()

=pod

=head1 NAME

Google::Cloud::Bigquery::V2::Model::RemoteModelInfo - Compiled Protocol Buffers message class

=head1 SYNOPSIS

    use Google::Cloud::Bigquery::V2::Model;

    my $msg = Google::Cloud::Bigquery::V2::Model::RemoteModelInfo->new(
        endpoint => $value,
    );

=head1 FIELDS

=over 4

=item * B<endpoint>

Type: String

=item * B<remote_service_type>

Type: Enum (.google.cloud.bigquery.v2.RemoteModelInfo.RemoteServiceType)

=item * B<connection>

Type: String

=item * B<max_batching_rows>

Type: Int64

=item * B<remote_model_version>

Type: String

=item * B<speech_recognizer>

Type: String

=back

=cut

# Enum: RemoteModelInfo::RemoteServiceType
our $RemoteModelInfo_REMOTE_SERVICE_TYPE_UNSPECIFIED = 0;
our $RemoteModelInfo_CLOUD_AI_TRANSLATE_V3 = 1;
our $RemoteModelInfo_CLOUD_AI_VISION_V1 = 2;
our $RemoteModelInfo_CLOUD_AI_NATURAL_LANGUAGE_V1 = 3;
our $RemoteModelInfo_CLOUD_AI_SPEECH_TO_TEXT_V2 = 7;

=pod

=head2 Enum: RemoteModelInfo::RemoteServiceType

Values:

=over 4

=item * C<REMOTE_SERVICE_TYPE_UNSPECIFIED> => 0

=item * C<CLOUD_AI_TRANSLATE_V3> => 1

=item * C<CLOUD_AI_VISION_V1> => 2

=item * C<CLOUD_AI_NATURAL_LANGUAGE_V1> => 3

=item * C<CLOUD_AI_SPEECH_TO_TEXT_V2> => 7

=back

=cut

# === Message: Google::Cloud::Bigquery::V2::Model::TransformColumn ===
    # Fields for TransformColumn
    # Field: name Type: 9 ()
    # Field: type Type: 11 (.google.cloud.bigquery.v2.StandardSqlDataType)

lib/Google/Cloud/Bigquery/V2/Model.pm  view on Meta::CPAN

Type: String

=back

=cut

# === Message: Google::Cloud::Bigquery::V2::Model::ListModelsResponse ===
    # Fields for ListModelsResponse
    # Field: models Type: 11 (.google.cloud.bigquery.v2.Model)
    # Field: next_page_token Type: 9 ()

=pod

=head1 NAME

Google::Cloud::Bigquery::V2::Model::ListModelsResponse - Compiled Protocol Buffers message class

=head1 SYNOPSIS

    use Google::Cloud::Bigquery::V2::Model;

    my $msg = Google::Cloud::Bigquery::V2::Model::ListModelsResponse->new(
        models => $value,
    );

=head1 FIELDS

=over 4

=item * B<models>

Type: Message (.google.cloud.bigquery.v2.Model)

=item * B<next_page_token>

Type: String

=back

=cut

# === Service Client: Google::Cloud::Bigquery::V2::Model::ModelServiceClient ===
package Google::Cloud::Bigquery::V2::Model::ModelServiceClient;

=pod

=head1 NAME

Google::Cloud::Bigquery::V2::Model::ModelServiceClient - Client stub representing the remote ModelService service

=head1 DESCRIPTION

This class acts as a local client stub for the remote gRPC service.
It delegates call dispatching to an underlying L<Google::gRPC::Client>
instance, ensuring type-safe request parsing and response mapping.

=head1 CONFIGURATION AND ENVIRONMENT

=head2 target

The endpoint target address. Defaults to C<bigquery.googleapis.com:443>.

=head2 credentials

The authentication credentials provider. Defaults to application default credentials via L<Google::Auth>.

=cut

use Moo;
use Google::Auth;
use Google::gRPC::Client;

has credentials => ( is => 'ro', default => sub { Google::Auth->default() } );
has target      => ( is => 'ro', default => 'bigquery.googleapis.com:443' );

has _grpc_client => (
    is => 'ro',
    lazy => 1,
    builder => sub {
        my $self = shift;
        return Google::gRPC::Client->new(
            target     => $self->target,
            auth_token => $self->credentials->get_token(),
        );
    }
);

sub get_model {
    my ($self, $args) = @_;
    my $req = ref($args) eq 'HASH'
        ? Google::Cloud::Bigquery::V2::Model::GetModelRequest->new($args)
        : $args;
    return $self->_grpc_client->call({
        service        => 'google.cloud.bigquery.v2.ModelService',
        method         => 'GetModel',
        request        => $req,
        response_class => 'Google::Cloud::Bigquery::V2::Model::Model',
    });
}

sub list_models {
    my ($self, $args) = @_;
    my $req = ref($args) eq 'HASH'
        ? Google::Cloud::Bigquery::V2::Model::ListModelsRequest->new($args)
        : $args;
    return $self->_grpc_client->call({
        service        => 'google.cloud.bigquery.v2.ModelService',
        method         => 'ListModels',
        request        => $req,
        response_class => 'Google::Cloud::Bigquery::V2::Model::ListModelsResponse',
    });
}

sub patch_model {
    my ($self, $args) = @_;
    my $req = ref($args) eq 'HASH'
        ? Google::Cloud::Bigquery::V2::Model::PatchModelRequest->new($args)
        : $args;
    return $self->_grpc_client->call({
        service        => 'google.cloud.bigquery.v2.ModelService',
        method         => 'PatchModel',