models_v2.data_tiering_analysis_info module

class models_v2.data_tiering_analysis_info.DataTieringAnalysisInfo(tags_info=None, progress=None, status=None, message=None)

Bases: object

Implementation of the ‘DataTieringAnalysisInfo’ model.

Specifies the data tiering analysis details.

Attributes:

tags_info (list of

SpecifiesTheTagInformationOfTypeAndArrayOfLabelValue): Array of Tag objects.

progress (ProgressSummary): Specifies the progress summary. 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): message from the last analysis run stating the error

message in case of error in analysis run or warning message if the run finished successfully, but there were some warning messages.

classmethod from_dictionary(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.