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#
#   http://www.apache.org/licenses/LICENSE-2.0
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module Elasticsearch
  module API
    module MachineLearning
      module Actions
        # Retrieves configuration information for a trained inference model.
        #
        # @option arguments [String] :model_id The ID of the trained models to fetch
        # @option arguments [Boolean] :allow_no_match Whether to ignore if a wildcard expression matches no trained models. (This includes `_all` string or when no trained models have been specified)
        # @option arguments [String] :include A comma-separate list of fields to optionally include. Valid options are 'definition' and 'total_feature_importance'. Default is none.
        # @option arguments [Boolean] :include_model_definition Should the full model definition be included in the results. These definitions can be large. So be cautious when including them. Defaults to false. *Deprecated*
        # @option arguments [Boolean] :decompress_definition Should the model definition be decompressed into valid JSON or returned in a custom compressed format. Defaults to true.
        # @option arguments [Integer] :from skips a number of trained models
        # @option arguments [Integer] :size specifies a max number of trained models to get
        # @option arguments [List] :tags A comma-separated list of tags that the model must have.
        # @option arguments [Boolean] :exclude_generated Omits fields that are illegal to set on model PUT
        # @option arguments [Hash] :headers Custom HTTP headers
        #
        # @see https://www.elastic.co/guide/en/elasticsearch/reference/8.2/get-trained-models.html
        #
        def get_trained_models(arguments = {})
          arguments = arguments.clone
          headers = arguments.delete(:headers) || {}

          body = nil

          _model_id = arguments.delete(:model_id)

          method = Elasticsearch::API::HTTP_GET
          path   = if _model_id
                     "_ml/trained_models/#{Utils.__listify(_model_id)}"
                   else
                     "_ml/trained_models"
                   end
          params = Utils.process_params(arguments)

          Elasticsearch::API::Response.new(
            perform_request(method, path, params, body, headers)
          )
        end
      end
    end
  end
end