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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: 20180917 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 TerraformAdvancedOptions(object): """ Specifies advanced options for Terraform commands. These options are not necessary for normal usage of Terraform. """ #: A constant which can be used with the detailed_log_level property of a TerraformAdvancedOptions. #: This constant has a value of "ERROR" DETAILED_LOG_LEVEL_ERROR = "ERROR" #: A constant which can be used with the detailed_log_level property of a TerraformAdvancedOptions. #: This constant has a value of "WARN" DETAILED_LOG_LEVEL_WARN = "WARN" #: A constant which can be used with the detailed_log_level property of a TerraformAdvancedOptions. #: This constant has a value of "INFO" DETAILED_LOG_LEVEL_INFO = "INFO" #: A constant which can be used with the detailed_log_level property of a TerraformAdvancedOptions. #: This constant has a value of "DEBUG" DETAILED_LOG_LEVEL_DEBUG = "DEBUG" #: A constant which can be used with the detailed_log_level property of a TerraformAdvancedOptions. #: This constant has a value of "TRACE" DETAILED_LOG_LEVEL_TRACE = "TRACE" def __init__(self, **kwargs): """ Initializes a new TerraformAdvancedOptions object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param is_refresh_required: The value to assign to the is_refresh_required property of this TerraformAdvancedOptions. :type is_refresh_required: bool :param parallelism: The value to assign to the parallelism property of this TerraformAdvancedOptions. :type parallelism: int :param detailed_log_level: The value to assign to the detailed_log_level property of this TerraformAdvancedOptions. Allowed values for this property are: "ERROR", "WARN", "INFO", "DEBUG", "TRACE", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :type detailed_log_level: str """ self.swagger_types = { 'is_refresh_required': 'bool', 'parallelism': 'int', 'detailed_log_level': 'str' } self.attribute_map = { 'is_refresh_required': 'isRefreshRequired', 'parallelism': 'parallelism', 'detailed_log_level': 'detailedLogLevel' } self._is_refresh_required = None self._parallelism = None self._detailed_log_level = None @property def is_refresh_required(self): """ Gets the is_refresh_required of this TerraformAdvancedOptions. Specifies whether to refresh the state for each resource before running the job (operation). Refreshing the state can affect performance. Consider setting to `false` if the configuration includes several resources. Used with the following operations: `PLAN`, `APPLY`, `DESTROY`. :return: The is_refresh_required of this TerraformAdvancedOptions. :rtype: bool """ return self._is_refresh_required @is_refresh_required.setter def is_refresh_required(self, is_refresh_required): """ Sets the is_refresh_required of this TerraformAdvancedOptions. Specifies whether to refresh the state for each resource before running the job (operation). Refreshing the state can affect performance. Consider setting to `false` if the configuration includes several resources. Used with the following operations: `PLAN`, `APPLY`, `DESTROY`. :param is_refresh_required: The is_refresh_required of this TerraformAdvancedOptions. :type: bool """ self._is_refresh_required = is_refresh_required @property def parallelism(self): """ Gets the parallelism of this TerraformAdvancedOptions. Limits the number of concurrent Terraform operations when `walking the graph`__. Use this parameter to help debug Terraform issues or to accomplish certain special use cases. A higher value might cause resources to be throttled. Used with the following operations: `PLAN`, `APPLY`, `DESTROY`. __ https://www.terraform.io/docs/internals/graph.html#walking-the-graph :return: The parallelism of this TerraformAdvancedOptions. :rtype: int """ return self._parallelism @parallelism.setter def parallelism(self, parallelism): """ Sets the parallelism of this TerraformAdvancedOptions. Limits the number of concurrent Terraform operations when `walking the graph`__. Use this parameter to help debug Terraform issues or to accomplish certain special use cases. A higher value might cause resources to be throttled. Used with the following operations: `PLAN`, `APPLY`, `DESTROY`. __ https://www.terraform.io/docs/internals/graph.html#walking-the-graph :param parallelism: The parallelism of this TerraformAdvancedOptions. :type: int """ self._parallelism = parallelism @property def detailed_log_level(self): """ Gets the detailed_log_level of this TerraformAdvancedOptions. Enables detailed logs at the specified verbosity for running the job (operation). Allowed values for this property are: "ERROR", "WARN", "INFO", "DEBUG", "TRACE", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :return: The detailed_log_level of this TerraformAdvancedOptions. :rtype: str """ return self._detailed_log_level @detailed_log_level.setter def detailed_log_level(self, detailed_log_level): """ Sets the detailed_log_level of this TerraformAdvancedOptions. Enables detailed logs at the specified verbosity for running the job (operation). :param detailed_log_level: The detailed_log_level of this TerraformAdvancedOptions. :type: str """ allowed_values = ["ERROR", "WARN", "INFO", "DEBUG", "TRACE"] if not value_allowed_none_or_none_sentinel(detailed_log_level, allowed_values): detailed_log_level = 'UNKNOWN_ENUM_VALUE' self._detailed_log_level = detailed_log_level 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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