# coding: utf-8
"""
CumulativeStatisticsDescriptor.py
The Clear BSD License
Copyright (c) – 2016, NetApp, Inc. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted (subject to the limitations in the disclaimer below) provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
* Neither the name of NetApp, Inc. nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
"""
from pprint import pformat
from six import iteritems
[docs]class CumulativeStatisticsDescriptor(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
def __init__(self):
"""
CumulativeStatisticsDescriptor - a model defined in Swagger
:param dict swaggerTypes: The key is attribute name
and the value is attribute type.
:param dict attributeMap: The key is attribute name
and the value is json key in definition.
"""
self.swagger_types = {
'object_ref': 'ObjectReference', # (required parameter)
'group_type': 'str', # (required parameter)
'data_location': 'str', # (required parameter)
'statistics_resolution': 'str'
}
self.attribute_map = {
'object_ref': 'objectRef', # (required parameter)
'group_type': 'groupType', # (required parameter)
'data_location': 'dataLocation', # (required parameter)
'statistics_resolution': 'statisticsResolution'
}
self._object_ref = None
self._group_type = None
self._data_location = None
self._statistics_resolution = None
@property
def object_ref(self):
"""
Gets the object_ref of this CumulativeStatisticsDescriptor.
A reference to the storage array object (e.g., volume, drive, ets.) for which counters are to be returned.
:return: The object_ref of this CumulativeStatisticsDescriptor.
:rtype: ObjectReference
:required/optional: required
"""
return self._object_ref
@object_ref.setter
def object_ref(self, object_ref):
"""
Sets the object_ref of this CumulativeStatisticsDescriptor.
A reference to the storage array object (e.g., volume, drive, ets.) for which counters are to be returned.
:param object_ref: The object_ref of this CumulativeStatisticsDescriptor.
:type: ObjectReference
"""
self._object_ref = object_ref
@property
def group_type(self):
"""
Gets the group_type of this CumulativeStatisticsDescriptor.
The type of counter group to be returned.
:return: The group_type of this CumulativeStatisticsDescriptor.
:rtype: str
:required/optional: required
"""
return self._group_type
@group_type.setter
def group_type(self, group_type):
"""
Sets the group_type of this CumulativeStatisticsDescriptor.
The type of counter group to be returned.
:param group_type: The group_type of this CumulativeStatisticsDescriptor.
:type: str
"""
allowed_values = ["drive", "implementation", "io", "volume", "controller", "iointerface", "__UNDEFINED"]
if group_type not in allowed_values:
raise ValueError(
"Invalid value for `group_type`, must be one of {0}"
.format(allowed_values)
)
self._group_type = group_type
@property
def data_location(self):
"""
Gets the data_location of this CumulativeStatisticsDescriptor.
Location of counter group data to be returned.
:return: The data_location of this CumulativeStatisticsDescriptor.
:rtype: str
:required/optional: required
"""
return self._data_location
@data_location.setter
def data_location(self, data_location):
"""
Sets the data_location of this CumulativeStatisticsDescriptor.
Location of counter group data to be returned.
:param data_location: The data_location of this CumulativeStatisticsDescriptor.
:type: str
"""
allowed_values = ["unknown", "saved", "active", "all", "__UNDEFINED"]
if data_location not in allowed_values:
raise ValueError(
"Invalid value for `data_location`, must be one of {0}"
.format(allowed_values)
)
self._data_location = data_location
@property
def statistics_resolution(self):
"""
Gets the statistics_resolution of this CumulativeStatisticsDescriptor.
Identifies if the resolution is low or high.
:return: The statistics_resolution of this CumulativeStatisticsDescriptor.
:rtype: str
:required/optional: required
"""
return self._statistics_resolution
@statistics_resolution.setter
def statistics_resolution(self, statistics_resolution):
"""
Sets the statistics_resolution of this CumulativeStatisticsDescriptor.
Identifies if the resolution is low or high.
:param statistics_resolution: The statistics_resolution of this CumulativeStatisticsDescriptor.
:type: str
"""
allowed_values = ["low", "high", "__UNDEFINED"]
if statistics_resolution not in allowed_values:
raise ValueError(
"Invalid value for `statistics_resolution`, must be one of {0}"
.format(allowed_values)
)
self._statistics_resolution = statistics_resolution
[docs] 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
[docs] def to_str(self):
"""
Returns the string representation of the model
"""
return pformat(self.to_dict())
def __repr__(self):
"""
For `print` and `pprint`
"""
if self is None:
return None
return self.to_str()
def __eq__(self, other):
"""
Returns true if both objects are equal
"""
if self is None or other is None:
return None
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""
Returns true if both objects are not equal
"""
return not self == other