Method: Elasticsearch::API::MachineLearning::Actions#post_data

Defined in:
lib/elasticsearch/api/actions/machine_learning/post_data.rb

#post_data(arguments = {}) ⇒ Object

Sends data to an anomaly detection job for analysis.

Parameters:

  • arguments (Hash) (defaults to: {}) —

    a customizable set of options

Options Hash (arguments):

  • :job_id (String) —

    The name of the job receiving the data

  • :reset_start (String) —

    Optional parameter to specify the start of the bucket resetting range

  • :reset_end (String) —

    Optional parameter to specify the end of the bucket resetting range

  • :headers (Hash) —

    Custom HTTP headers

  • :body (Hash) —

    The data to process (Required)

Raises:

  • (ArgumentError)

See Also:



35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
 
# File 'lib/elasticsearch/api/actions/machine_learning/post_data.rb', line 35

def post_data(arguments = {})
  request_opts = { endpoint: arguments[:endpoint] || "ml.post_data" }

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

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

  method = Elasticsearch::API::HTTP_POST
  path   = "_ml/anomaly_detectors/#{Utils.__listify(_job_id)}/_data"
  params = Utils.process_params(arguments)

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