# coding: utf-8
"""
    Kubernetes

    No description provided (generated by Swagger Codegen
    https://github.com/swagger-api/swagger-codegen)

    OpenAPI spec version: v1.14.4

    Generated by: https://github.com/swagger-api/swagger-codegen.git
"""

from pprint import pformat
from six import iteritems
import re


class V2beta1ObjectMetricSource(object):
  """
    NOTE: This class is auto generated by the swagger code generator program.
    Do not edit the class manually.
    """
  """
    Attributes:
      swagger_types (dict): The key is attribute name and the value is attribute
        type.
      attribute_map (dict): The key is attribute name and the value is json key
        in definition.
  """
  swagger_types = {
      'average_value': 'str',
      'metric_name': 'str',
      'selector': 'V1LabelSelector',
      'target': 'V2beta1CrossVersionObjectReference',
      'target_value': 'str'
  }

  attribute_map = {
      'average_value': 'averageValue',
      'metric_name': 'metricName',
      'selector': 'selector',
      'target': 'target',
      'target_value': 'targetValue'
  }

  def __init__(self,
               average_value=None,
               metric_name=None,
               selector=None,
               target=None,
               target_value=None):
    """
        V2beta1ObjectMetricSource - a model defined in Swagger
        """

    self._average_value = None
    self._metric_name = None
    self._selector = None
    self._target = None
    self._target_value = None
    self.discriminator = None

    if average_value is not None:
      self.average_value = average_value
    self.metric_name = metric_name
    if selector is not None:
      self.selector = selector
    self.target = target
    self.target_value = target_value

  @property
  def average_value(self):
    """
        Gets the average_value of this V2beta1ObjectMetricSource.
        averageValue is the target value of the average of the metric across all
        relevant pods (as a quantity)

        :return: The average_value of this V2beta1ObjectMetricSource.
        :rtype: str
        """
    return self._average_value

  @average_value.setter
  def average_value(self, average_value):
    """
        Sets the average_value of this V2beta1ObjectMetricSource.
        averageValue is the target value of the average of the metric across all
        relevant pods (as a quantity)

        :param average_value: The average_value of this
        V2beta1ObjectMetricSource.
        :type: str
        """

    self._average_value = average_value

  @property
  def metric_name(self):
    """
        Gets the metric_name of this V2beta1ObjectMetricSource.
        metricName is the name of the metric in question.

        :return: The metric_name of this V2beta1ObjectMetricSource.
        :rtype: str
        """
    return self._metric_name

  @metric_name.setter
  def metric_name(self, metric_name):
    """
        Sets the metric_name of this V2beta1ObjectMetricSource.
        metricName is the name of the metric in question.

        :param metric_name: The metric_name of this V2beta1ObjectMetricSource.
        :type: str
        """
    if metric_name is None:
      raise ValueError('Invalid value for `metric_name`, must not be `None`')

    self._metric_name = metric_name

  @property
  def selector(self):
    """
        Gets the selector of this V2beta1ObjectMetricSource.
        selector is the string-encoded form of a standard kubernetes label
        selector for the given metric When set, it is passed as an additional
        parameter to the metrics server for more specific metrics scoping When
        unset, just the metricName will be used to gather metrics.

        :return: The selector of this V2beta1ObjectMetricSource.
        :rtype: V1LabelSelector
        """
    return self._selector

  @selector.setter
  def selector(self, selector):
    """
        Sets the selector of this V2beta1ObjectMetricSource.
        selector is the string-encoded form of a standard kubernetes label
        selector for the given metric When set, it is passed as an additional
        parameter to the metrics server for more specific metrics scoping When
        unset, just the metricName will be used to gather metrics.

        :param selector: The selector of this V2beta1ObjectMetricSource.
        :type: V1LabelSelector
        """

    self._selector = selector

  @property
  def target(self):
    """
        Gets the target of this V2beta1ObjectMetricSource.
        target is the described Kubernetes object.

        :return: The target of this V2beta1ObjectMetricSource.
        :rtype: V2beta1CrossVersionObjectReference
        """
    return self._target

  @target.setter
  def target(self, target):
    """
        Sets the target of this V2beta1ObjectMetricSource.
        target is the described Kubernetes object.

        :param target: The target of this V2beta1ObjectMetricSource.
        :type: V2beta1CrossVersionObjectReference
        """
    if target is None:
      raise ValueError('Invalid value for `target`, must not be `None`')

    self._target = target

  @property
  def target_value(self):
    """
        Gets the target_value of this V2beta1ObjectMetricSource.
        targetValue is the target value of the metric (as a quantity).

        :return: The target_value of this V2beta1ObjectMetricSource.
        :rtype: str
        """
    return self._target_value

  @target_value.setter
  def target_value(self, target_value):
    """
        Sets the target_value of this V2beta1ObjectMetricSource.
        targetValue is the target value of the metric (as a quantity).

        :param target_value: The target_value of this V2beta1ObjectMetricSource.
        :type: str
        """
    if target_value is None:
      raise ValueError('Invalid value for `target_value`, must not be `None`')

    self._target_value = target_value

  def to_dict(self):
    """
        Returns the model properties as a dict
        """
    result = {}

    for attr, _ in iteritems(self.swagger_types):
      value = getattr(self, attr)
      if isinstance(value, list):
        result[attr] = list(
            map(lambda x: x.to_dict() if hasattr(x, 'to_dict') else x, value))
      elif hasattr(value, 'to_dict'):
        result[attr] = value.to_dict()
      elif isinstance(value, dict):
        result[attr] = dict(
            map(
                lambda item: (item[0], item[1].to_dict())
                if hasattr(item[1], 'to_dict') else item, value.items()))
      else:
        result[attr] = value

    return result

  def to_str(self):
    """
        Returns the string representation of the model
        """
    return pformat(self.to_dict())

  def __repr__(self):
    """
        For `print` and `pprint`
        """
    return self.to_str()

  def __eq__(self, other):
    """
        Returns true if both objects are equal
        """
    if not isinstance(other, V2beta1ObjectMetricSource):
      return False

    return self.__dict__ == other.__dict__

  def __ne__(self, other):
    """
        Returns true if both objects are not equal
        """
    return not self == other