# -*- coding: utf-8 -*-
import cohesity_management_sdk.models_v2.data_tiering_object_analysis_info
[docs]class DataTieringObjectInfo(object):
"""Implementation of the 'DataTieringObjectInfo' model.
Specifies the data tiering analysis group run object details.
Attributes:
id (long|int): Specifies the ID of the object.
name (string): Specifies the name of the object.
analysis_info (DataTieringObjectAnalysisInfo): Specifies the data
tiering object analysis details.
"""
# Create a mapping from Model property names to API property names
_names = {
"id":'id',
"name":'name',
"analysis_info":'analysisInfo'
}
def __init__(self,
id=None,
name=None,
analysis_info=None):
"""Constructor for the DataTieringObjectInfo class"""
# Initialize members of the class
self.id = id
self.name = name
self.analysis_info = analysis_info
[docs] @classmethod
def from_dictionary(cls,
dictionary):
"""Creates an instance of this model from a dictionary
Args:
dictionary (dictionary): A dictionary representation of the object as
obtained from the deserialization of the server's response. The keys
MUST match property names in the API description.
Returns:
object: An instance of this structure class.
"""
if dictionary is None:
return None
# Extract variables from the dictionary
id = dictionary.get('id')
name = dictionary.get('name')
analysis_info = cohesity_management_sdk.models_v2.data_tiering_object_analysis_info.DataTieringObjectAnalysisInfo.from_dictionary(dictionary.get('analysisInfo')) if dictionary.get('analysisInfo') else None
# Return an object of this model
return cls(id,
name,
analysis_info)