# coding: utf-8
"""
NiFi Rest API
The Rest API provides programmatic access to command and control a NiFi instance in real time. Start and stop processors, monitor queues, query provenance data, and more. Each endpoint below includes a description, definitions of the expected input and output, potential response codes, and the authorizations required to invoke each service.
OpenAPI spec version: 1.23.2
Contact: dev@nifi.apache.org
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re
[docs]
class StatusHistoryDTO(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
swagger_types = {
'generated': 'str',
'component_details': 'dict(str, str)',
'field_descriptors': 'list[StatusDescriptorDTO]',
'aggregate_snapshots': 'list[StatusSnapshotDTO]',
'node_snapshots': 'list[NodeStatusSnapshotsDTO]'
}
attribute_map = {
'generated': 'generated',
'component_details': 'componentDetails',
'field_descriptors': 'fieldDescriptors',
'aggregate_snapshots': 'aggregateSnapshots',
'node_snapshots': 'nodeSnapshots'
}
def __init__(self, generated=None, component_details=None, field_descriptors=None, aggregate_snapshots=None, node_snapshots=None):
"""
StatusHistoryDTO - a model defined in Swagger
"""
self._generated = None
self._component_details = None
self._field_descriptors = None
self._aggregate_snapshots = None
self._node_snapshots = None
if generated is not None:
self.generated = generated
if component_details is not None:
self.component_details = component_details
if field_descriptors is not None:
self.field_descriptors = field_descriptors
if aggregate_snapshots is not None:
self.aggregate_snapshots = aggregate_snapshots
if node_snapshots is not None:
self.node_snapshots = node_snapshots
@property
def generated(self):
"""
Gets the generated of this StatusHistoryDTO.
When the status history was generated.
:return: The generated of this StatusHistoryDTO.
:rtype: str
"""
return self._generated
@generated.setter
def generated(self, generated):
"""
Sets the generated of this StatusHistoryDTO.
When the status history was generated.
:param generated: The generated of this StatusHistoryDTO.
:type: str
"""
self._generated = generated
@property
def component_details(self):
"""
Gets the component_details of this StatusHistoryDTO.
A Map of key/value pairs that describe the component that the status history belongs to
:return: The component_details of this StatusHistoryDTO.
:rtype: dict(str, str)
"""
return self._component_details
@component_details.setter
def component_details(self, component_details):
"""
Sets the component_details of this StatusHistoryDTO.
A Map of key/value pairs that describe the component that the status history belongs to
:param component_details: The component_details of this StatusHistoryDTO.
:type: dict(str, str)
"""
self._component_details = component_details
@property
def field_descriptors(self):
"""
Gets the field_descriptors of this StatusHistoryDTO.
The Descriptors that provide information on each of the metrics provided in the status history
:return: The field_descriptors of this StatusHistoryDTO.
:rtype: list[StatusDescriptorDTO]
"""
return self._field_descriptors
@field_descriptors.setter
def field_descriptors(self, field_descriptors):
"""
Sets the field_descriptors of this StatusHistoryDTO.
The Descriptors that provide information on each of the metrics provided in the status history
:param field_descriptors: The field_descriptors of this StatusHistoryDTO.
:type: list[StatusDescriptorDTO]
"""
self._field_descriptors = field_descriptors
@property
def aggregate_snapshots(self):
"""
Gets the aggregate_snapshots of this StatusHistoryDTO.
A list of StatusSnapshotDTO objects that provide the actual metric values for the component. If the NiFi instance is clustered, this will represent the aggregate status across all nodes. If the NiFi instance is not clustered, this will represent the status of the entire NiFi instance.
:return: The aggregate_snapshots of this StatusHistoryDTO.
:rtype: list[StatusSnapshotDTO]
"""
return self._aggregate_snapshots
@aggregate_snapshots.setter
def aggregate_snapshots(self, aggregate_snapshots):
"""
Sets the aggregate_snapshots of this StatusHistoryDTO.
A list of StatusSnapshotDTO objects that provide the actual metric values for the component. If the NiFi instance is clustered, this will represent the aggregate status across all nodes. If the NiFi instance is not clustered, this will represent the status of the entire NiFi instance.
:param aggregate_snapshots: The aggregate_snapshots of this StatusHistoryDTO.
:type: list[StatusSnapshotDTO]
"""
self._aggregate_snapshots = aggregate_snapshots
@property
def node_snapshots(self):
"""
Gets the node_snapshots of this StatusHistoryDTO.
The NodeStatusSnapshotsDTO objects that provide the actual metric values for the component, for each node. If the NiFi instance is not clustered, this value will be null.
:return: The node_snapshots of this StatusHistoryDTO.
:rtype: list[NodeStatusSnapshotsDTO]
"""
return self._node_snapshots
@node_snapshots.setter
def node_snapshots(self, node_snapshots):
"""
Sets the node_snapshots of this StatusHistoryDTO.
The NodeStatusSnapshotsDTO objects that provide the actual metric values for the component, for each node. If the NiFi instance is not clustered, this value will be null.
:param node_snapshots: The node_snapshots of this StatusHistoryDTO.
:type: list[NodeStatusSnapshotsDTO]
"""
self._node_snapshots = node_snapshots
[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`
"""
return self.to_str()
def __eq__(self, other):
"""
Returns true if both objects are equal
"""
if not isinstance(other, StatusHistoryDTO):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""
Returns true if both objects are not equal
"""
return not self == other