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# coding: utf-8 # Copyright (c) 2016, 2026, 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: 20180401 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 PostMetricDataDetails(object): """ An array of metric objects containing raw metric data points to be posted to the Monitoring service. """ #: A constant which can be used with the batch_atomicity property of a PostMetricDataDetails. #: This constant has a value of "ATOMIC" BATCH_ATOMICITY_ATOMIC = "ATOMIC" #: A constant which can be used with the batch_atomicity property of a PostMetricDataDetails. #: This constant has a value of "NON_ATOMIC" BATCH_ATOMICITY_NON_ATOMIC = "NON_ATOMIC" def __init__(self, kwargs): """ Initializes a new PostMetricDataDetails object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param metric_data: The value to assign to the metric_data property of this PostMetricDataDetails. :type metric_data: list[oci.monitoring.models.MetricDataDetails] :param batch_atomicity: The value to assign to the batch_atomicity property of this PostMetricDataDetails. Allowed values for this property are: "ATOMIC", "NON_ATOMIC" :type batch_atomicity: str """ self.swagger_types = { 'metric_data': 'list[MetricDataDetails]', 'batch_atomicity': 'str' } self.attribute_map = { 'metric_data': 'metricData', 'batch_atomicity': 'batchAtomicity' } self._metric_data = None self._batch_atomicity = None @property def metric_data(self): """ [Required]** Gets the metric_data of this PostMetricDataDetails. A metric object containing raw metric data points to be posted to the Monitoring service. :return: The metric_data of this PostMetricDataDetails. :rtype: list[oci.monitoring.models.MetricDataDetails] """ return self._metric_data @metric_data.setter def metric_data(self, metric_data): """ Sets the metric_data of this PostMetricDataDetails. A metric object containing raw metric data points to be posted to the Monitoring service. :param metric_data: The metric_data of this PostMetricDataDetails. :type: list[oci.monitoring.models.MetricDataDetails] """ self._metric_data = metric_data @property def batch_atomicity(self): """ Gets the batch_atomicity of this PostMetricDataDetails. Batch atomicity behavior. Requires either partial or full pass of input validation for metric objects in PostMetricData requests. The default value of NON_ATOMIC requires a partial pass: at least one metric object in the request must pass input validation, and any objects that failed validation are identified in the returned summary, along with their error messages. A value of ATOMIC requires a full pass: all metric objects in the request must pass input validation. Example: `NON_ATOMIC` Allowed values for this property are: "ATOMIC", "NON_ATOMIC" :return: The batch_atomicity of this PostMetricDataDetails. :rtype: str """ return self._batch_atomicity @batch_atomicity.setter def batch_atomicity(self, batch_atomicity): """ Sets the batch_atomicity of this PostMetricDataDetails. Batch atomicity behavior. Requires either partial or full pass of input validation for metric objects in PostMetricData requests. The default value of NON_ATOMIC requires a partial pass: at least one metric object in the request must pass input validation, and any objects that failed validation are identified in the returned summary, along with their error messages. A value of ATOMIC requires a full pass: all metric objects in the request must pass input validation. Example: `NON_ATOMIC` :param batch_atomicity: The batch_atomicity of this PostMetricDataDetails. :type: str """ allowed_values = ["ATOMIC", "NON_ATOMIC"] if not value_allowed_none_or_none_sentinel(batch_atomicity, allowed_values): raise ValueError( f"Invalid value for `batch_atomicity`, must be None or one of {allowed_values}" ) self._batch_atomicity = batch_atomicity 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

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