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# license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright
# ownership. Elasticsearch B.V. licenses this file to you under
# the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
#
# Auto generated from commit f284cc16f4d4b4289bc679aa1529bb504190fe80
# @see https://github.com/elastic/elasticsearch-specification
#
module ElasticsearchServerless
  module API
    module MachineLearning
      module Actions
        # Create a data frame analytics job.
        # This API creates a data frame analytics job that performs an analysis on the
        # source indices and stores the outcome in a destination index.
        # By default, the query used in the source configuration is +{"match_all": {}}+.
        # If the destination index does not exist, it is created automatically when you start the job.
        # If you supply only a subset of the regression or classification parameters, hyperparameter optimization occurs. It determines a value for each of the undefined parameters.
        #
        # @option arguments [String] :id Identifier for the data frame analytics job. This identifier can contain
        #  lowercase alphanumeric characters (a-z and 0-9), hyphens, and
        #  underscores. It must start and end with alphanumeric characters. (*Required*)
        # @option arguments [Hash] :headers Custom HTTP headers
        # @option arguments [Hash] :body request body
        #
        # @see https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ml-put-data-frame-analytics
        #
        def put_data_frame_analytics(arguments = {})
          request_opts = { endpoint: arguments[:endpoint] || 'ml.put_data_frame_analytics' }

          defined_params = [:id].each_with_object({}) do |variable, set_variables|
            set_variables[variable] = arguments[variable] if arguments.key?(variable)
          end
          request_opts[:defined_params] = defined_params unless defined_params.empty?

          raise ArgumentError, "Required argument 'body' missing" unless arguments[:body]
          raise ArgumentError, "Required argument 'id' missing" unless arguments[:id]

          arguments = arguments.clone
          headers = arguments.delete(:headers) || {}

          body = arguments.delete(:body)

          _id = arguments.delete(:id)

          method = ElasticsearchServerless::API::HTTP_PUT
          path   = "_ml/data_frame/analytics/#{Utils.listify(_id)}"
          params = {}

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