Server IP : 103.119.228.120 / Your IP : 13.58.38.184 Web Server : Apache System : Linux v8.techscape8.com 3.10.0-1160.119.1.el7.tuxcare.els2.x86_64 #1 SMP Mon Jul 15 12:09:18 UTC 2024 x86_64 User : nobody ( 99) PHP Version : 5.6.40 Disable Function : shell_exec,symlink,system,exec,proc_get_status,proc_nice,proc_terminate,define_syslog_variables,syslog,openlog,closelog,escapeshellcmd,passthru,ocinum cols,ini_alter,leak,listen,chgrp,apache_note,apache_setenv,debugger_on,debugger_off,ftp_exec,dl,dll,myshellexec,proc_open,socket_bind,proc_close,escapeshellarg,parse_ini_filepopen,fpassthru,exec,passthru,escapeshellarg,escapeshellcmd,proc_close,proc_open,ini_alter,popen,show_source,proc_nice,proc_terminate,proc_get_status,proc_close,pfsockopen,leak,apache_child_terminate,posix_kill,posix_mkfifo,posix_setpgid,posix_setsid,posix_setuid,dl,symlink,shell_exec,system,dl,passthru,escapeshellarg,escapeshellcmd,myshellexec,c99_buff_prepare,c99_sess_put,fpassthru,getdisfunc,fx29exec,fx29exec2,is_windows,disp_freespace,fx29sh_getupdate,fx29_buff_prepare,fx29_sess_put,fx29shexit,fx29fsearch,fx29ftpbrutecheck,fx29sh_tools,fx29sh_about,milw0rm,imagez,sh_name,myshellexec,checkproxyhost,dosyayicek,c99_buff_prepare,c99_sess_put,c99getsource,c99sh_getupdate,c99fsearch,c99shexit,view_perms,posix_getpwuid,posix_getgrgid,posix_kill,parse_perms,parsesort,view_perms_color,set_encoder_input,ls_setcheckboxall,ls_reverse_all,rsg_read,rsg_glob,selfURL,dispsecinfo,unix2DosTime,addFile,system,get_users,view_size,DirFiles,DirFilesWide,DirPrintHTMLHeaders,GetFilesTotal,GetTitles,GetTimeTotal,GetMatchesCount,GetFileMatchesCount,GetResultFiles,fs_copy_dir,fs_copy_obj,fs_move_dir,fs_move_obj,fs_rmdir,SearchText,getmicrotime MySQL : ON | cURL : ON | WGET : ON | Perl : ON | Python : ON | Sudo : ON | Pkexec : ON Directory : /usr/lib/mysqlsh/lib/python3.9/site-packages/oci/data_science/models/ |
Upload File : |
# 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: 20190101 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 ScalingConfiguration(object): """ Scaling configuration for the metric expression rule. """ #: A constant which can be used with the scaling_configuration_type property of a ScalingConfiguration. #: This constant has a value of "THRESHOLD" SCALING_CONFIGURATION_TYPE_THRESHOLD = "THRESHOLD" #: A constant which can be used with the scaling_configuration_type property of a ScalingConfiguration. #: This constant has a value of "QUERY" SCALING_CONFIGURATION_TYPE_QUERY = "QUERY" def __init__(self, **kwargs): """ Initializes a new ScalingConfiguration object with values from keyword arguments. This class has the following subclasses and if you are using this class as input to a service operations then you should favor using a subclass over the base class: * :class:`~oci.data_science.models.CustomExpressionQueryScalingConfiguration` * :class:`~oci.data_science.models.PredefinedExpressionThresholdScalingConfiguration` The following keyword arguments are supported (corresponding to the getters/setters of this class): :param scaling_configuration_type: The value to assign to the scaling_configuration_type property of this ScalingConfiguration. Allowed values for this property are: "THRESHOLD", "QUERY" :type scaling_configuration_type: str :param pending_duration: The value to assign to the pending_duration property of this ScalingConfiguration. :type pending_duration: str :param instance_count_adjustment: The value to assign to the instance_count_adjustment property of this ScalingConfiguration. :type instance_count_adjustment: int """ self.swagger_types = { 'scaling_configuration_type': 'str', 'pending_duration': 'str', 'instance_count_adjustment': 'int' } self.attribute_map = { 'scaling_configuration_type': 'scalingConfigurationType', 'pending_duration': 'pendingDuration', 'instance_count_adjustment': 'instanceCountAdjustment' } self._scaling_configuration_type = None self._pending_duration = None self._instance_count_adjustment = None @staticmethod def get_subtype(object_dictionary): """ Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype. """ type = object_dictionary['scalingConfigurationType'] if type == 'QUERY': return 'CustomExpressionQueryScalingConfiguration' if type == 'THRESHOLD': return 'PredefinedExpressionThresholdScalingConfiguration' else: return 'ScalingConfiguration' @property def scaling_configuration_type(self): """ **[Required]** Gets the scaling_configuration_type of this ScalingConfiguration. The type of scaling configuration. Allowed values for this property are: "THRESHOLD", "QUERY" :return: The scaling_configuration_type of this ScalingConfiguration. :rtype: str """ return self._scaling_configuration_type @scaling_configuration_type.setter def scaling_configuration_type(self, scaling_configuration_type): """ Sets the scaling_configuration_type of this ScalingConfiguration. The type of scaling configuration. :param scaling_configuration_type: The scaling_configuration_type of this ScalingConfiguration. :type: str """ allowed_values = ["THRESHOLD", "QUERY"] if not value_allowed_none_or_none_sentinel(scaling_configuration_type, allowed_values): raise ValueError( f"Invalid value for `scaling_configuration_type`, must be None or one of {allowed_values}" ) self._scaling_configuration_type = scaling_configuration_type @property def pending_duration(self): """ Gets the pending_duration of this ScalingConfiguration. The period of time that the condition defined in the alarm must persist before the alarm state changes from \"OK\" to \"FIRING\" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to \"FIRING\"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to \"OK.\" The duration is specified as a string in ISO 8601 format (`PT10M` for ten minutes or `PT1H` for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M. :return: The pending_duration of this ScalingConfiguration. :rtype: str """ return self._pending_duration @pending_duration.setter def pending_duration(self, pending_duration): """ Sets the pending_duration of this ScalingConfiguration. The period of time that the condition defined in the alarm must persist before the alarm state changes from \"OK\" to \"FIRING\" or vice versa. For example, a value of 5 minutes means that the alarm must persist in breaching the condition for five minutes before the alarm updates its state to \"FIRING\"; likewise, the alarm must persist in not breaching the condition for five minutes before the alarm updates its state to \"OK.\" The duration is specified as a string in ISO 8601 format (`PT10M` for ten minutes or `PT1H` for one hour). Minimum: PT3M. Maximum: PT1H. Default: PT3M. :param pending_duration: The pending_duration of this ScalingConfiguration. :type: str """ self._pending_duration = pending_duration @property def instance_count_adjustment(self): """ Gets the instance_count_adjustment of this ScalingConfiguration. The value is used for adjusting the count of instances by. :return: The instance_count_adjustment of this ScalingConfiguration. :rtype: int """ return self._instance_count_adjustment @instance_count_adjustment.setter def instance_count_adjustment(self, instance_count_adjustment): """ Sets the instance_count_adjustment of this ScalingConfiguration. The value is used for adjusting the count of instances by. :param instance_count_adjustment: The instance_count_adjustment of this ScalingConfiguration. :type: int """ self._instance_count_adjustment = instance_count_adjustment 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