elasticsearch-api/lib/elasticsearch/api/actions/machine_learning/get_model_snapshots.rb

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#   http://www.apache.org/licenses/LICENSE-2.0
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# under the License.
#
# This code was automatically generated from the Elasticsearch Specification
# See https://github.com/elastic/elasticsearch-specification
# See Elasticsearch::ES_SPECIFICATION_COMMIT for commit hash.
module Elasticsearch
  module API
    module MachineLearning
      module Actions
        # Get model snapshots info.
        #
        # @option arguments [String] :job_id Identifier for the anomaly detection job. (*Required*)
        # @option arguments [String] :snapshot_id A numerical character string that uniquely identifies the model snapshot. You can get information for multiple
        #  snapshots by using a comma-separated list or a wildcard expression. You can get all snapshots by using `_all`,
        #  by specifying `*` as the snapshot ID, or by omitting the snapshot ID.
        # @option arguments [Boolean] :desc If true, the results are sorted in descending order.
        # @option arguments [String, Time] :end Returns snapshots with timestamps earlier than this time.
        # @option arguments [Integer] :from Skips the specified number of snapshots. Server default: 0.
        # @option arguments [Integer] :size Specifies the maximum number of snapshots to obtain. Server default: 100.
        # @option arguments [String] :sort Specifies the sort field for the requested snapshots. By default, the
        #  snapshots are sorted by their timestamp.
        # @option arguments [String, Time] :start Returns snapshots with timestamps after this time.
        # @option arguments [Boolean] :error_trace When set to `true` Elasticsearch will include the full stack trace of errors
        #  when they occur.
        # @option arguments [String] :filter_path Comma-separated list of filters in dot notation which reduce the response
        #  returned by Elasticsearch.
        # @option arguments [Boolean] :human When set to `true` will return statistics in a format suitable for humans.
        #  For example `"exists_time": "1h"` for humans and
        #  `"eixsts_time_in_millis": 3600000` for computers. When disabled the human
        #  readable values will be omitted. This makes sense for responses being consumed
        #  only by machines.
        # @option arguments [Boolean] :pretty If set to `true` the returned JSON will be "pretty-formatted". Only use
        #  this option for debugging only.
        # @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-get-model-snapshots
        #
        def get_model_snapshots(arguments = {})
          request_opts = { endpoint: arguments[:endpoint] || 'ml.get_model_snapshots' }

          defined_params = [:job_id, :snapshot_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 'job_id' missing" unless arguments[:job_id]

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

          body = arguments.delete(:body)

          _job_id = arguments.delete(:job_id)

          _snapshot_id = arguments.delete(:snapshot_id)

          method = if body
                     Elasticsearch::API::HTTP_POST
                   else
                     Elasticsearch::API::HTTP_GET
                   end

          path   = if _job_id && _snapshot_id
                     "_ml/anomaly_detectors/#{Utils.listify(_job_id)}/model_snapshots/#{Utils.listify(_snapshot_id)}"
                   else
                     "_ml/anomaly_detectors/#{Utils.listify(_job_id)}/model_snapshots"
                   end
          params = Utils.process_params(arguments)

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