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ruạṛ

# coding: utf-8
# Copyright (c) 2016, 2024, Oracle and/or its affiliates.  All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.

# NOTE: This class is auto generated by OracleSDKGenerator. DO NOT EDIT. API Version: 20200131

from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel  # noqa: F401
from oci.decorators import init_model_state_from_kwargs

@init_model_state_from_kwargs
class ProblemTrendAggregation(object):
    """
    Provides aggregated information on trends for counts of problems by specified parameters.
    """

def __init__(self, **kwargs):
        """
        Initializes a new ProblemTrendAggregation object with values from keyword arguments.
        The following keyword arguments are supported (corresponding to the getters/setters of this class):

:param dimensions_map:
            The value to assign to the dimensions_map property of this ProblemTrendAggregation.
        :type dimensions_map: dict(str, str)

:param start_timestamp:
            The value to assign to the start_timestamp property of this ProblemTrendAggregation.
        :type start_timestamp: float

:param duration_in_seconds:
            The value to assign to the duration_in_seconds property of this ProblemTrendAggregation.
        :type duration_in_seconds: int

:param count:
            The value to assign to the count property of this ProblemTrendAggregation.
        :type count: int

"""
        self.swagger_types = {
            'dimensions_map': 'dict(str, str)',
            'start_timestamp': 'float',
            'duration_in_seconds': 'int',
            'count': 'int'
        }

self.attribute_map = {
            'dimensions_map': 'dimensionsMap',
            'start_timestamp': 'startTimestamp',
            'duration_in_seconds': 'durationInSeconds',
            'count': 'count'
        }

self._dimensions_map = None
        self._start_timestamp = None
        self._duration_in_seconds = None
        self._count = None

@property
    def dimensions_map(self):
        """
        **[Required]** Gets the dimensions_map of this ProblemTrendAggregation.
        The key-value pairs of dimensions and their names

:return: The dimensions_map of this ProblemTrendAggregation.
        :rtype: dict(str, str)
        """
        return self._dimensions_map

@dimensions_map.setter
    def dimensions_map(self, dimensions_map):
        """
        Sets the dimensions_map of this ProblemTrendAggregation.
        The key-value pairs of dimensions and their names

:param dimensions_map: The dimensions_map of this ProblemTrendAggregation.
        :type: dict(str, str)
        """
        self._dimensions_map = dimensions_map

@property
    def start_timestamp(self):
        """
        **[Required]** Gets the start_timestamp of this ProblemTrendAggregation.
        Start time in epoch seconds

:return: The start_timestamp of this ProblemTrendAggregation.
        :rtype: float
        """
        return self._start_timestamp

@start_timestamp.setter
    def start_timestamp(self, start_timestamp):
        """
        Sets the start_timestamp of this ProblemTrendAggregation.
        Start time in epoch seconds

:param start_timestamp: The start_timestamp of this ProblemTrendAggregation.
        :type: float
        """
        self._start_timestamp = start_timestamp

@property
    def duration_in_seconds(self):
        """
        **[Required]** Gets the duration_in_seconds of this ProblemTrendAggregation.
        Duration

:return: The duration_in_seconds of this ProblemTrendAggregation.
        :rtype: int
        """
        return self._duration_in_seconds

@duration_in_seconds.setter
    def duration_in_seconds(self, duration_in_seconds):
        """
        Sets the duration_in_seconds of this ProblemTrendAggregation.
        Duration

:param duration_in_seconds: The duration_in_seconds of this ProblemTrendAggregation.
        :type: int
        """
        self._duration_in_seconds = duration_in_seconds

@property
    def count(self):
        """
        **[Required]** Gets the count of this ProblemTrendAggregation.
        The number of occurrences for the corresponding time range and dimensions.

:return: The count of this ProblemTrendAggregation.
        :rtype: int
        """
        return self._count

@count.setter
    def count(self, count):
        """
        Sets the count of this ProblemTrendAggregation.
        The number of occurrences for the corresponding time range and dimensions.

:param count: The count of this ProblemTrendAggregation.
        :type: int
        """
        self._count = count

def __repr__(self):
        return formatted_flat_dict(self)

def __eq__(self, other):
        if other is None:
            return False

return self.__dict__ == other.__dict__

def __ne__(self, other):
        return not self == other

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