# 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 V1HorizontalPodAutoscalerSpec(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 = {
      'max_replicas': 'int',
      'min_replicas': 'int',
      'scale_target_ref': 'V1CrossVersionObjectReference',
      'target_cpu_utilization_percentage': 'int'
  }

  attribute_map = {
      'max_replicas': 'maxReplicas',
      'min_replicas': 'minReplicas',
      'scale_target_ref': 'scaleTargetRef',
      'target_cpu_utilization_percentage': 'targetCPUUtilizationPercentage'
  }

  def __init__(self,
               max_replicas=None,
               min_replicas=None,
               scale_target_ref=None,
               target_cpu_utilization_percentage=None):
    """
        V1HorizontalPodAutoscalerSpec - a model defined in Swagger
        """

    self._max_replicas = None
    self._min_replicas = None
    self._scale_target_ref = None
    self._target_cpu_utilization_percentage = None
    self.discriminator = None

    self.max_replicas = max_replicas
    if min_replicas is not None:
      self.min_replicas = min_replicas
    self.scale_target_ref = scale_target_ref
    if target_cpu_utilization_percentage is not None:
      self.target_cpu_utilization_percentage = target_cpu_utilization_percentage

  @property
  def max_replicas(self):
    """
        Gets the max_replicas of this V1HorizontalPodAutoscalerSpec.
        upper limit for the number of pods that can be set by the autoscaler;
        cannot be smaller than MinReplicas.

        :return: The max_replicas of this V1HorizontalPodAutoscalerSpec.
        :rtype: int
        """
    return self._max_replicas

  @max_replicas.setter
  def max_replicas(self, max_replicas):
    """
        Sets the max_replicas of this V1HorizontalPodAutoscalerSpec.
        upper limit for the number of pods that can be set by the autoscaler;
        cannot be smaller than MinReplicas.

        :param max_replicas: The max_replicas of this
        V1HorizontalPodAutoscalerSpec.
        :type: int
        """
    if max_replicas is None:
      raise ValueError('Invalid value for `max_replicas`, must not be `None`')

    self._max_replicas = max_replicas

  @property
  def min_replicas(self):
    """
        Gets the min_replicas of this V1HorizontalPodAutoscalerSpec.
        lower limit for the number of pods that can be set by the autoscaler,
        default 1.

        :return: The min_replicas of this V1HorizontalPodAutoscalerSpec.
        :rtype: int
        """
    return self._min_replicas

  @min_replicas.setter
  def min_replicas(self, min_replicas):
    """
        Sets the min_replicas of this V1HorizontalPodAutoscalerSpec.
        lower limit for the number of pods that can be set by the autoscaler,
        default 1.

        :param min_replicas: The min_replicas of this
        V1HorizontalPodAutoscalerSpec.
        :type: int
        """

    self._min_replicas = min_replicas

  @property
  def scale_target_ref(self):
    """
        Gets the scale_target_ref of this V1HorizontalPodAutoscalerSpec.
        reference to scaled resource; horizontal pod autoscaler will learn the
        current resource consumption and will set the desired number of pods by
        using its Scale subresource.

        :return: The scale_target_ref of this V1HorizontalPodAutoscalerSpec.
        :rtype: V1CrossVersionObjectReference
        """
    return self._scale_target_ref

  @scale_target_ref.setter
  def scale_target_ref(self, scale_target_ref):
    """
        Sets the scale_target_ref of this V1HorizontalPodAutoscalerSpec.
        reference to scaled resource; horizontal pod autoscaler will learn the
        current resource consumption and will set the desired number of pods by
        using its Scale subresource.

        :param scale_target_ref: The scale_target_ref of this
        V1HorizontalPodAutoscalerSpec.
        :type: V1CrossVersionObjectReference
        """
    if scale_target_ref is None:
      raise ValueError(
          'Invalid value for `scale_target_ref`, must not be `None`')

    self._scale_target_ref = scale_target_ref

  @property
  def target_cpu_utilization_percentage(self):
    """
        Gets the target_cpu_utilization_percentage of this
        V1HorizontalPodAutoscalerSpec.
        target average CPU utilization (represented as a percentage of requested
        CPU) over all the pods; if not specified the default autoscaling policy
        will be used.

        :return: The target_cpu_utilization_percentage of this
        V1HorizontalPodAutoscalerSpec.
        :rtype: int
        """
    return self._target_cpu_utilization_percentage

  @target_cpu_utilization_percentage.setter
  def target_cpu_utilization_percentage(self,
                                        target_cpu_utilization_percentage):
    """
        Sets the target_cpu_utilization_percentage of this
        V1HorizontalPodAutoscalerSpec.
        target average CPU utilization (represented as a percentage of requested
        CPU) over all the pods; if not specified the default autoscaling policy
        will be used.

        :param target_cpu_utilization_percentage: The
        target_cpu_utilization_percentage of this V1HorizontalPodAutoscalerSpec.
        :type: int
        """

    self._target_cpu_utilization_percentage = target_cpu_utilization_percentage

  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, V1HorizontalPodAutoscalerSpec):
      return False

    return self.__dict__ == other.__dict__

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