# coding: utf-8

"""
    Seeq REST API

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

    OpenAPI spec version: 0.44.04
    
    Generated by: https://github.com/swagger-api/swagger-codegen.git
"""


from pprint import pformat
from six import iteritems
import re


class ThresholdMetricInputV1(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 = {
        'aggregation_function': 'str',
        'bounding_condition': 'str',
        'bounding_condition_maximum_duration': 'str',
        'duration': 'str',
        'measured_item': 'str',
        'measured_item_maximum_duration': 'str',
        'name': 'str',
        'number_format': 'str',
        'period': 'str',
        'scoped_to': 'str',
        'thresholds': 'list[str]'
    }

    attribute_map = {
        'aggregation_function': 'aggregationFunction',
        'bounding_condition': 'boundingCondition',
        'bounding_condition_maximum_duration': 'boundingConditionMaximumDuration',
        'duration': 'duration',
        'measured_item': 'measuredItem',
        'measured_item_maximum_duration': 'measuredItemMaximumDuration',
        'name': 'name',
        'number_format': 'numberFormat',
        'period': 'period',
        'scoped_to': 'scopedTo',
        'thresholds': 'thresholds'
    }

    def __init__(self, aggregation_function=None, bounding_condition=None, bounding_condition_maximum_duration=None, duration=None, measured_item=None, measured_item_maximum_duration=None, name=None, number_format=None, period=None, scoped_to=None, thresholds=None):
        """
        ThresholdMetricInputV1 - a model defined in Swagger
        """

        self._aggregation_function = None
        self._bounding_condition = None
        self._bounding_condition_maximum_duration = None
        self._duration = None
        self._measured_item = None
        self._measured_item_maximum_duration = None
        self._name = None
        self._number_format = None
        self._period = None
        self._scoped_to = None
        self._thresholds = None

        if aggregation_function is not None:
          self.aggregation_function = aggregation_function
        if bounding_condition is not None:
          self.bounding_condition = bounding_condition
        if bounding_condition_maximum_duration is not None:
          self.bounding_condition_maximum_duration = bounding_condition_maximum_duration
        if duration is not None:
          self.duration = duration
        if measured_item is not None:
          self.measured_item = measured_item
        if measured_item_maximum_duration is not None:
          self.measured_item_maximum_duration = measured_item_maximum_duration
        if name is not None:
          self.name = name
        if number_format is not None:
          self.number_format = number_format
        if period is not None:
          self.period = period
        if scoped_to is not None:
          self.scoped_to = scoped_to
        if thresholds is not None:
          self.thresholds = thresholds

    @property
    def aggregation_function(self):
        """
        Gets the aggregation_function of this ThresholdMetricInputV1.
        Aggregation formula function that can aggregate the measured item and used when evaluating the thresholds as well as for display in outputs such as scorecard.

        :return: The aggregation_function of this ThresholdMetricInputV1.
        :rtype: str
        """
        return self._aggregation_function

    @aggregation_function.setter
    def aggregation_function(self, aggregation_function):
        """
        Sets the aggregation_function of this ThresholdMetricInputV1.
        Aggregation formula function that can aggregate the measured item and used when evaluating the thresholds as well as for display in outputs such as scorecard.

        :param aggregation_function: The aggregation_function of this ThresholdMetricInputV1.
        :type: str
        """

        self._aggregation_function = aggregation_function

    @property
    def bounding_condition(self):
        """
        Gets the bounding_condition of this ThresholdMetricInputV1.
        Used when measuring a batch process, the ID of a condition that will be used to aggregate the measured item and to break scorecard output into multiple columns, one per capsule.

        :return: The bounding_condition of this ThresholdMetricInputV1.
        :rtype: str
        """
        return self._bounding_condition

    @bounding_condition.setter
    def bounding_condition(self, bounding_condition):
        """
        Sets the bounding_condition of this ThresholdMetricInputV1.
        Used when measuring a batch process, the ID of a condition that will be used to aggregate the measured item and to break scorecard output into multiple columns, one per capsule.

        :param bounding_condition: The bounding_condition of this ThresholdMetricInputV1.
        :type: str
        """

        self._bounding_condition = bounding_condition

    @property
    def bounding_condition_maximum_duration(self):
        """
        Gets the bounding_condition_maximum_duration of this ThresholdMetricInputV1.
        If bounding condition is used and does not have a Maximum Capsule Duration this value must be supplied to allow aggregation.

        :return: The bounding_condition_maximum_duration of this ThresholdMetricInputV1.
        :rtype: str
        """
        return self._bounding_condition_maximum_duration

    @bounding_condition_maximum_duration.setter
    def bounding_condition_maximum_duration(self, bounding_condition_maximum_duration):
        """
        Sets the bounding_condition_maximum_duration of this ThresholdMetricInputV1.
        If bounding condition is used and does not have a Maximum Capsule Duration this value must be supplied to allow aggregation.

        :param bounding_condition_maximum_duration: The bounding_condition_maximum_duration of this ThresholdMetricInputV1.
        :type: str
        """

        self._bounding_condition_maximum_duration = bounding_condition_maximum_duration

    @property
    def duration(self):
        """
        Gets the duration of this ThresholdMetricInputV1.
        Used when measuring a continuous process, the duration over which to calculate a moving aggregation. Example: 1day

        :return: The duration of this ThresholdMetricInputV1.
        :rtype: str
        """
        return self._duration

    @duration.setter
    def duration(self, duration):
        """
        Sets the duration of this ThresholdMetricInputV1.
        Used when measuring a continuous process, the duration over which to calculate a moving aggregation. Example: 1day

        :param duration: The duration of this ThresholdMetricInputV1.
        :type: str
        """

        self._duration = duration

    @property
    def measured_item(self):
        """
        Gets the measured_item of this ThresholdMetricInputV1.
        ID of an input Signal or Condition to measure. This item is measured using the thresholds to find deviations.

        :return: The measured_item of this ThresholdMetricInputV1.
        :rtype: str
        """
        return self._measured_item

    @measured_item.setter
    def measured_item(self, measured_item):
        """
        Sets the measured_item of this ThresholdMetricInputV1.
        ID of an input Signal or Condition to measure. This item is measured using the thresholds to find deviations.

        :param measured_item: The measured_item of this ThresholdMetricInputV1.
        :type: str
        """
        if measured_item is None:
            raise ValueError("Invalid value for `measured_item`, must not be `None`")

        self._measured_item = measured_item

    @property
    def measured_item_maximum_duration(self):
        """
        Gets the measured_item_maximum_duration of this ThresholdMetricInputV1.
        If measured item is a condition and does not have a Maximum Capsule Duration this value must be supplied to allow aggregation.

        :return: The measured_item_maximum_duration of this ThresholdMetricInputV1.
        :rtype: str
        """
        return self._measured_item_maximum_duration

    @measured_item_maximum_duration.setter
    def measured_item_maximum_duration(self, measured_item_maximum_duration):
        """
        Sets the measured_item_maximum_duration of this ThresholdMetricInputV1.
        If measured item is a condition and does not have a Maximum Capsule Duration this value must be supplied to allow aggregation.

        :param measured_item_maximum_duration: The measured_item_maximum_duration of this ThresholdMetricInputV1.
        :type: str
        """

        self._measured_item_maximum_duration = measured_item_maximum_duration

    @property
    def name(self):
        """
        Gets the name of this ThresholdMetricInputV1.
        The name of the metric.

        :return: The name of this ThresholdMetricInputV1.
        :rtype: str
        """
        return self._name

    @name.setter
    def name(self, name):
        """
        Sets the name of this ThresholdMetricInputV1.
        The name of the metric.

        :param name: The name of this ThresholdMetricInputV1.
        :type: str
        """
        if name is None:
            raise ValueError("Invalid value for `name`, must not be `None`")

        self._name = name

    @property
    def number_format(self):
        """
        Gets the number_format of this ThresholdMetricInputV1.
        The format string used for numbers associated with this signal. The format for the string follows ECMA-376 spreadsheet format standards.

        :return: The number_format of this ThresholdMetricInputV1.
        :rtype: str
        """
        return self._number_format

    @number_format.setter
    def number_format(self, number_format):
        """
        Sets the number_format of this ThresholdMetricInputV1.
        The format string used for numbers associated with this signal. The format for the string follows ECMA-376 spreadsheet format standards.

        :param number_format: The number_format of this ThresholdMetricInputV1.
        :type: str
        """

        self._number_format = number_format

    @property
    def period(self):
        """
        Gets the period of this ThresholdMetricInputV1.
        Used when measuring a continuous process, the period at which to sample when creating the moving aggregation. Example: 30min

        :return: The period of this ThresholdMetricInputV1.
        :rtype: str
        """
        return self._period

    @period.setter
    def period(self, period):
        """
        Sets the period of this ThresholdMetricInputV1.
        Used when measuring a continuous process, the period at which to sample when creating the moving aggregation. Example: 30min

        :param period: The period of this ThresholdMetricInputV1.
        :type: str
        """

        self._period = period

    @property
    def scoped_to(self):
        """
        Gets the scoped_to of this ThresholdMetricInputV1.
        The ID of the workbook to which this item will be scoped.

        :return: The scoped_to of this ThresholdMetricInputV1.
        :rtype: str
        """
        return self._scoped_to

    @scoped_to.setter
    def scoped_to(self, scoped_to):
        """
        Sets the scoped_to of this ThresholdMetricInputV1.
        The ID of the workbook to which this item will be scoped.

        :param scoped_to: The scoped_to of this ThresholdMetricInputV1.
        :type: str
        """

        self._scoped_to = scoped_to

    @property
    def thresholds(self):
        """
        Gets the thresholds of this ThresholdMetricInputV1.
        List of thresholds where each threshold is the priority level, followed by an equals sign, followed by an ID or scalar formula. Each threshold must correspond to one of the priority levels in the list of priorities that can be defined via the /system/configuration endpoint.Threshold value can be the ID of a Signal, Condition, or Scalar or a formula that produces a scalar. Example:'1=10' would associate a Scalar of 10 with priority level 1.

        :return: The thresholds of this ThresholdMetricInputV1.
        :rtype: list[str]
        """
        return self._thresholds

    @thresholds.setter
    def thresholds(self, thresholds):
        """
        Sets the thresholds of this ThresholdMetricInputV1.
        List of thresholds where each threshold is the priority level, followed by an equals sign, followed by an ID or scalar formula. Each threshold must correspond to one of the priority levels in the list of priorities that can be defined via the /system/configuration endpoint.Threshold value can be the ID of a Signal, Condition, or Scalar or a formula that produces a scalar. Example:'1=10' would associate a Scalar of 10 with priority level 1.

        :param thresholds: The thresholds of this ThresholdMetricInputV1.
        :type: list[str]
        """

        self._thresholds = thresholds

    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, ThresholdMetricInputV1):
            return False

        return self.__dict__ == other.__dict__

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