Source code for models_v2.data_tiering_object_analysis_info

# -*- coding: utf-8 -*-

import cohesity_management_sdk.models_v2.data_tiering_share_stats

[docs]class DataTieringObjectAnalysisInfo(object): """Implementation of the 'DataTieringObjectAnalysisInfo' model. Specifies the data tiering object analysis details. Attributes: status (Status9Enum): Status of the analysis run. 'Running' indicates that the run is still running. 'Canceled' indicates that the run has been canceled. 'Canceling' indicates that the run is in the process of being canceled. 'Failed' indicates that the run has failed. 'Missed' indicates that the run was unable to take place at the scheduled time because the previous run was still happening. 'Succeeded' indicates that the run has finished successfully. 'SucceededWithWarning' indicates that the run finished successfully, but there were some warning messages. 'OnHold' indicates that the run has On hold. message (string): A message about the error if encountered while performing data tiering analysis. stats (list of DataTieringShareStats): Specifies the source share analysis stats. """ # Create a mapping from Model property names to API property names _names = { "status":'status', "message":'message', "stats":'stats' } def __init__(self, status=None, message=None, stats=None): """Constructor for the DataTieringObjectAnalysisInfo class""" # Initialize members of the class self.status = status self.message = message self.stats = stats
[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 status = dictionary.get('status') message = dictionary.get('message') stats = None if dictionary.get('stats') != None: stats = list() for structure in dictionary.get('stats'): stats.append(cohesity_management_sdk.models_v2.data_tiering_share_stats.DataTieringShareStats.from_dictionary(structure)) # Return an object of this model return cls(status, message, stats)