File: //lib/mysqlsh/lib/python3.8/site-packages/oci/log_analytics/models/log_analytics_source_metric.py
# coding: utf-8
# Copyright (c) 2016, 2025, 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: 20200601
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 LogAnalyticsSourceMetric(object):
"""
LogAnalyticsSourceMetric
"""
def __init__(self, **kwargs):
"""
Initializes a new LogAnalyticsSourceMetric object with values from keyword arguments.
The following keyword arguments are supported (corresponding to the getters/setters of this class):
:param is_metric_source_enabled:
The value to assign to the is_metric_source_enabled property of this LogAnalyticsSourceMetric.
:type is_metric_source_enabled: bool
:param metric_name:
The value to assign to the metric_name property of this LogAnalyticsSourceMetric.
:type metric_name: str
:param source_name:
The value to assign to the source_name property of this LogAnalyticsSourceMetric.
:type source_name: str
:param entity_type:
The value to assign to the entity_type property of this LogAnalyticsSourceMetric.
:type entity_type: str
"""
self.swagger_types = {
'is_metric_source_enabled': 'bool',
'metric_name': 'str',
'source_name': 'str',
'entity_type': 'str'
}
self.attribute_map = {
'is_metric_source_enabled': 'isMetricSourceEnabled',
'metric_name': 'metricName',
'source_name': 'sourceName',
'entity_type': 'entityType'
}
self._is_metric_source_enabled = None
self._metric_name = None
self._source_name = None
self._entity_type = None
@property
def is_metric_source_enabled(self):
"""
Gets the is_metric_source_enabled of this LogAnalyticsSourceMetric.
A flag specifying whether or not the metric source is enabled.
:return: The is_metric_source_enabled of this LogAnalyticsSourceMetric.
:rtype: bool
"""
return self._is_metric_source_enabled
@is_metric_source_enabled.setter
def is_metric_source_enabled(self, is_metric_source_enabled):
"""
Sets the is_metric_source_enabled of this LogAnalyticsSourceMetric.
A flag specifying whether or not the metric source is enabled.
:param is_metric_source_enabled: The is_metric_source_enabled of this LogAnalyticsSourceMetric.
:type: bool
"""
self._is_metric_source_enabled = is_metric_source_enabled
@property
def metric_name(self):
"""
Gets the metric_name of this LogAnalyticsSourceMetric.
The metric name.
:return: The metric_name of this LogAnalyticsSourceMetric.
:rtype: str
"""
return self._metric_name
@metric_name.setter
def metric_name(self, metric_name):
"""
Sets the metric_name of this LogAnalyticsSourceMetric.
The metric name.
:param metric_name: The metric_name of this LogAnalyticsSourceMetric.
:type: str
"""
self._metric_name = metric_name
@property
def source_name(self):
"""
Gets the source_name of this LogAnalyticsSourceMetric.
The source internal name.
:return: The source_name of this LogAnalyticsSourceMetric.
:rtype: str
"""
return self._source_name
@source_name.setter
def source_name(self, source_name):
"""
Sets the source_name of this LogAnalyticsSourceMetric.
The source internal name.
:param source_name: The source_name of this LogAnalyticsSourceMetric.
:type: str
"""
self._source_name = source_name
@property
def entity_type(self):
"""
Gets the entity_type of this LogAnalyticsSourceMetric.
The entity type.
:return: The entity_type of this LogAnalyticsSourceMetric.
:rtype: str
"""
return self._entity_type
@entity_type.setter
def entity_type(self, entity_type):
"""
Sets the entity_type of this LogAnalyticsSourceMetric.
The entity type.
:param entity_type: The entity_type of this LogAnalyticsSourceMetric.
:type: str
"""
self._entity_type = entity_type
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