Module: Monkeylearn::Requests

Included in:
Classifiers, Extractors, Tags, WorkflowCustomFields, WorkflowData, WorkflowSteps, Workflows
Defined in:
lib/monkeylearn/requests.rb

Instance Method Summary collapse

Instance Method Details

#get_connection ⇒ Object 



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# File 'lib/monkeylearn/requests.rb', line 103

def get_connection
  @conn ||= Faraday.new(url: Monkeylearn.base_url) do |faraday|
    faraday.adapter Faraday.default_adapter # Net::HTTP
  end
end

#get_exception_class(status_code, error_code) ⇒ Object 



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# File 'lib/monkeylearn/requests.rb', line 49

def get_exception_class(status_code, error_code)
  case status_code
  when 422
    return RequestParamsError
  when 401
    return AuthenticationError
  when 403
    case error_code
    when 'MODEL_LIMIT'
      return ModelLimitError
    else
      return ForbiddenError
    end
  when 404
    case error_code
    when 'MODEL_NOT_FOUND'
      return ModelNotFound
    when 'TAG_NOT_FOUND'
      return TagNotFound
    else
      return ResourceNotFound
    end
  when 429
    case error_code
    when 'PLAN_RATE_LIMIT'
      return PlanRateLimitError
    when 'CONCURRENCY_RATE_LIMIT'
      return ConcurrencyRateLimitError
    when 'PLAN_QUERY_LIMIT'
      return PlanQueryLimitError
    else
      return RateLimitError
    end
  when 423
    return ModuleStateError
  else
    return MonkeylearnResponseError
  end
end

#raise_for_status(raw_response) ⇒ Object

Raises:



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# File 'lib/monkeylearn/requests.rb', line 43

def raise_for_status(raw_response)
  body = JSON.parse(raw_response.body)
  error_code = body.fetch("error_code", nil)
  raise get_exception_class(raw_response.status, error_code).new(raw_response)
end

#request(method, path, data = nil, query_params = nil) ⇒ Object 



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# File 'lib/monkeylearn/requests.rb', line 8

def request(method, path, data = nil, query_params = nil)
  unless Monkeylearn.token
    raise MonkeylearnError, 'Please initialize the Monkeylearn library with your API token'
  end

  while true
    response = get_connection.send(method) do |req|
      url = path.to_s
      if query_params
        url += '?' + URI.encode_www_form(query_params)
      end
      req.url url
      req.headers['Authorization'] = 'Token ' + Monkeylearn.token
      req.headers['Content-Type'] = 'application/json'
      req.headers['User-Agent'] = 'ruby-sdk'
      if data
        req.body = data.to_json
      end
    end

    seconds = throttled?(response)
    if seconds && Monkeylearn.retry_if_throttle
      sleep seconds
    else
      break
    end
  end

  if response.status != 200
    raise_for_status(response)
  end

  Monkeylearn::Response.new(response)
end

#throttled?(response) ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/monkeylearn/requests.rb', line 89

def throttled?(response)
  return false unless response.status == 429
  body = JSON.parse(response.body)

  case body['error_code']
  when 'CONCURRENCY_RATE_LIMIT'
    seconds = 2
  when 'PLAN_RATE_LIMIT'
    match = /([\d]+) seconds/.match(body['detail'])
    seconds = if match then match[1].to_i else 60 end
  end
  seconds
end