# 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 V2beta1HorizontalPodAutoscalerStatus(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 = {
      'conditions': 'list[V2beta1HorizontalPodAutoscalerCondition]',
      'current_metrics': 'list[V2beta1MetricStatus]',
      'current_replicas': 'int',
      'desired_replicas': 'int',
      'last_scale_time': 'datetime',
      'observed_generation': 'int'
  }

  attribute_map = {
      'conditions': 'conditions',
      'current_metrics': 'currentMetrics',
      'current_replicas': 'currentReplicas',
      'desired_replicas': 'desiredReplicas',
      'last_scale_time': 'lastScaleTime',
      'observed_generation': 'observedGeneration'
  }

  def __init__(self,
               conditions=None,
               current_metrics=None,
               current_replicas=None,
               desired_replicas=None,
               last_scale_time=None,
               observed_generation=None):
    """
        V2beta1HorizontalPodAutoscalerStatus - a model defined in Swagger
        """

    self._conditions = None
    self._current_metrics = None
    self._current_replicas = None
    self._desired_replicas = None
    self._last_scale_time = None
    self._observed_generation = None
    self.discriminator = None

    self.conditions = conditions
    if current_metrics is not None:
      self.current_metrics = current_metrics
    self.current_replicas = current_replicas
    self.desired_replicas = desired_replicas
    if last_scale_time is not None:
      self.last_scale_time = last_scale_time
    if observed_generation is not None:
      self.observed_generation = observed_generation

  @property
  def conditions(self):
    """
        Gets the conditions of this V2beta1HorizontalPodAutoscalerStatus.
        conditions is the set of conditions required for this autoscaler to
        scale its target, and indicates whether or not those conditions are met.

        :return: The conditions of this V2beta1HorizontalPodAutoscalerStatus.
        :rtype: list[V2beta1HorizontalPodAutoscalerCondition]
        """
    return self._conditions

  @conditions.setter
  def conditions(self, conditions):
    """
        Sets the conditions of this V2beta1HorizontalPodAutoscalerStatus.
        conditions is the set of conditions required for this autoscaler to
        scale its target, and indicates whether or not those conditions are met.

        :param conditions: The conditions of this
        V2beta1HorizontalPodAutoscalerStatus.
        :type: list[V2beta1HorizontalPodAutoscalerCondition]
        """
    if conditions is None:
      raise ValueError('Invalid value for `conditions`, must not be `None`')

    self._conditions = conditions

  @property
  def current_metrics(self):
    """
        Gets the current_metrics of this V2beta1HorizontalPodAutoscalerStatus.
        currentMetrics is the last read state of the metrics used by this
        autoscaler.

        :return: The current_metrics of this
        V2beta1HorizontalPodAutoscalerStatus.
        :rtype: list[V2beta1MetricStatus]
        """
    return self._current_metrics

  @current_metrics.setter
  def current_metrics(self, current_metrics):
    """
        Sets the current_metrics of this V2beta1HorizontalPodAutoscalerStatus.
        currentMetrics is the last read state of the metrics used by this
        autoscaler.

        :param current_metrics: The current_metrics of this
        V2beta1HorizontalPodAutoscalerStatus.
        :type: list[V2beta1MetricStatus]
        """

    self._current_metrics = current_metrics

  @property
  def current_replicas(self):
    """
        Gets the current_replicas of this V2beta1HorizontalPodAutoscalerStatus.
        currentReplicas is current number of replicas of pods managed by this
        autoscaler, as last seen by the autoscaler.

        :return: The current_replicas of this
        V2beta1HorizontalPodAutoscalerStatus.
        :rtype: int
        """
    return self._current_replicas

  @current_replicas.setter
  def current_replicas(self, current_replicas):
    """
        Sets the current_replicas of this V2beta1HorizontalPodAutoscalerStatus.
        currentReplicas is current number of replicas of pods managed by this
        autoscaler, as last seen by the autoscaler.

        :param current_replicas: The current_replicas of this
        V2beta1HorizontalPodAutoscalerStatus.
        :type: int
        """
    if current_replicas is None:
      raise ValueError(
          'Invalid value for `current_replicas`, must not be `None`')

    self._current_replicas = current_replicas

  @property
  def desired_replicas(self):
    """
        Gets the desired_replicas of this V2beta1HorizontalPodAutoscalerStatus.
        desiredReplicas is the desired number of replicas of pods managed by
        this autoscaler, as last calculated by the autoscaler.

        :return: The desired_replicas of this
        V2beta1HorizontalPodAutoscalerStatus.
        :rtype: int
        """
    return self._desired_replicas

  @desired_replicas.setter
  def desired_replicas(self, desired_replicas):
    """
        Sets the desired_replicas of this V2beta1HorizontalPodAutoscalerStatus.
        desiredReplicas is the desired number of replicas of pods managed by
        this autoscaler, as last calculated by the autoscaler.

        :param desired_replicas: The desired_replicas of this
        V2beta1HorizontalPodAutoscalerStatus.
        :type: int
        """
    if desired_replicas is None:
      raise ValueError(
          'Invalid value for `desired_replicas`, must not be `None`')

    self._desired_replicas = desired_replicas

  @property
  def last_scale_time(self):
    """
        Gets the last_scale_time of this V2beta1HorizontalPodAutoscalerStatus.
        lastScaleTime is the last time the HorizontalPodAutoscaler scaled the
        number of pods, used by the autoscaler to control how often the number
        of pods is changed.

        :return: The last_scale_time of this
        V2beta1HorizontalPodAutoscalerStatus.
        :rtype: datetime
        """
    return self._last_scale_time

  @last_scale_time.setter
  def last_scale_time(self, last_scale_time):
    """
        Sets the last_scale_time of this V2beta1HorizontalPodAutoscalerStatus.
        lastScaleTime is the last time the HorizontalPodAutoscaler scaled the
        number of pods, used by the autoscaler to control how often the number
        of pods is changed.

        :param last_scale_time: The last_scale_time of this
        V2beta1HorizontalPodAutoscalerStatus.
        :type: datetime
        """

    self._last_scale_time = last_scale_time

  @property
  def observed_generation(self):
    """
        Gets the observed_generation of this
        V2beta1HorizontalPodAutoscalerStatus.
        observedGeneration is the most recent generation observed by this
        autoscaler.

        :return: The observed_generation of this
        V2beta1HorizontalPodAutoscalerStatus.
        :rtype: int
        """
    return self._observed_generation

  @observed_generation.setter
  def observed_generation(self, observed_generation):
    """
        Sets the observed_generation of this
        V2beta1HorizontalPodAutoscalerStatus.
        observedGeneration is the most recent generation observed by this
        autoscaler.

        :param observed_generation: The observed_generation of this
        V2beta1HorizontalPodAutoscalerStatus.
        :type: int
        """

    self._observed_generation = observed_generation

  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, V2beta1HorizontalPodAutoscalerStatus):
      return False

    return self.__dict__ == other.__dict__

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