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| Path : /lib/python3.9/site-packages/oci/database_management/models/ |
|
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| Current File : //lib/python3.9/site-packages/oci/database_management/models/db_management_analytics_metric.py |
# coding: utf-8
# Copyright (c) 2016, 2024, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.
# NOTE: This class is auto generated by OracleSDKGenerator. DO NOT EDIT. API Version: 20201101
from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401
from oci.decorators import init_model_state_from_kwargs
@init_model_state_from_kwargs
class DbManagementAnalyticsMetric(object):
"""
The metric details of a Database Management resource.
"""
def __init__(self, **kwargs):
"""
Initializes a new DbManagementAnalyticsMetric object with values from keyword arguments.
The following keyword arguments are supported (corresponding to the getters/setters of this class):
:param metric_name:
The value to assign to the metric_name property of this DbManagementAnalyticsMetric.
:type metric_name: str
:param duration_in_seconds:
The value to assign to the duration_in_seconds property of this DbManagementAnalyticsMetric.
:type duration_in_seconds: int
:param metadata:
The value to assign to the metadata property of this DbManagementAnalyticsMetric.
:type metadata: dict(str, str)
:param dimensions:
The value to assign to the dimensions property of this DbManagementAnalyticsMetric.
:type dimensions: dict(str, str)
:param start_timestamp_in_epoch_seconds:
The value to assign to the start_timestamp_in_epoch_seconds property of this DbManagementAnalyticsMetric.
:type start_timestamp_in_epoch_seconds: int
:param mean:
The value to assign to the mean property of this DbManagementAnalyticsMetric.
:type mean: float
"""
self.swagger_types = {
'metric_name': 'str',
'duration_in_seconds': 'int',
'metadata': 'dict(str, str)',
'dimensions': 'dict(str, str)',
'start_timestamp_in_epoch_seconds': 'int',
'mean': 'float'
}
self.attribute_map = {
'metric_name': 'metricName',
'duration_in_seconds': 'durationInSeconds',
'metadata': 'metadata',
'dimensions': 'dimensions',
'start_timestamp_in_epoch_seconds': 'startTimestampInEpochSeconds',
'mean': 'mean'
}
self._metric_name = None
self._duration_in_seconds = None
self._metadata = None
self._dimensions = None
self._start_timestamp_in_epoch_seconds = None
self._mean = None
@property
def metric_name(self):
"""
Gets the metric_name of this DbManagementAnalyticsMetric.
The name of the metric.
:return: The metric_name of this DbManagementAnalyticsMetric.
:rtype: str
"""
return self._metric_name
@metric_name.setter
def metric_name(self, metric_name):
"""
Sets the metric_name of this DbManagementAnalyticsMetric.
The name of the metric.
:param metric_name: The metric_name of this DbManagementAnalyticsMetric.
:type: str
"""
self._metric_name = metric_name
@property
def duration_in_seconds(self):
"""
Gets the duration_in_seconds of this DbManagementAnalyticsMetric.
The duration of the returned aggregated data in seconds.
:return: The duration_in_seconds of this DbManagementAnalyticsMetric.
:rtype: int
"""
return self._duration_in_seconds
@duration_in_seconds.setter
def duration_in_seconds(self, duration_in_seconds):
"""
Sets the duration_in_seconds of this DbManagementAnalyticsMetric.
The duration of the returned aggregated data in seconds.
:param duration_in_seconds: The duration_in_seconds of this DbManagementAnalyticsMetric.
:type: int
"""
self._duration_in_seconds = duration_in_seconds
@property
def metadata(self):
"""
Gets the metadata of this DbManagementAnalyticsMetric.
The additional information about the metric.
Example: `\"unit\": \"bytes\"`
:return: The metadata of this DbManagementAnalyticsMetric.
:rtype: dict(str, str)
"""
return self._metadata
@metadata.setter
def metadata(self, metadata):
"""
Sets the metadata of this DbManagementAnalyticsMetric.
The additional information about the metric.
Example: `\"unit\": \"bytes\"`
:param metadata: The metadata of this DbManagementAnalyticsMetric.
:type: dict(str, str)
"""
self._metadata = metadata
@property
def dimensions(self):
"""
Gets the dimensions of this DbManagementAnalyticsMetric.
The qualifiers provided in the definition of the returned metric.
:return: The dimensions of this DbManagementAnalyticsMetric.
:rtype: dict(str, str)
"""
return self._dimensions
@dimensions.setter
def dimensions(self, dimensions):
"""
Sets the dimensions of this DbManagementAnalyticsMetric.
The qualifiers provided in the definition of the returned metric.
:param dimensions: The dimensions of this DbManagementAnalyticsMetric.
:type: dict(str, str)
"""
self._dimensions = dimensions
@property
def start_timestamp_in_epoch_seconds(self):
"""
Gets the start_timestamp_in_epoch_seconds of this DbManagementAnalyticsMetric.
The start time associated with the value of the metric.
:return: The start_timestamp_in_epoch_seconds of this DbManagementAnalyticsMetric.
:rtype: int
"""
return self._start_timestamp_in_epoch_seconds
@start_timestamp_in_epoch_seconds.setter
def start_timestamp_in_epoch_seconds(self, start_timestamp_in_epoch_seconds):
"""
Sets the start_timestamp_in_epoch_seconds of this DbManagementAnalyticsMetric.
The start time associated with the value of the metric.
:param start_timestamp_in_epoch_seconds: The start_timestamp_in_epoch_seconds of this DbManagementAnalyticsMetric.
:type: int
"""
self._start_timestamp_in_epoch_seconds = start_timestamp_in_epoch_seconds
@property
def mean(self):
"""
Gets the mean of this DbManagementAnalyticsMetric.
The mean value of the metric.
:return: The mean of this DbManagementAnalyticsMetric.
:rtype: float
"""
return self._mean
@mean.setter
def mean(self, mean):
"""
Sets the mean of this DbManagementAnalyticsMetric.
The mean value of the metric.
:param mean: The mean of this DbManagementAnalyticsMetric.
:type: float
"""
self._mean = mean
def __repr__(self):
return formatted_flat_dict(self)
def __eq__(self, other):
if other is None:
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
return not self == other