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id, title, pagination_label, sidebar_label, sidebar_class_name, keywords, slug, tags
id title pagination_label sidebar_label sidebar_class_name keywords slug tags
v2025-role-mining-session-dto RoleMiningSessionDto RoleMiningSessionDto RoleMiningSessionDto pythonsdk
python
Python
sdk
RoleMiningSessionDto
V2025RoleMiningSessionDto
/tools/sdk/python/v2025/models/role-mining-session-dto
SDK
Software Development Kit
RoleMiningSessionDto
V2025RoleMiningSessionDto

RoleMiningSessionDto

Properties

Name Type Description Notes
scope RoleMiningSessionScope [optional]
prune_threshold int The prune threshold to be used or null to calculate prescribedPruneThreshold [optional]
prescribed_prune_threshold int The calculated prescribedPruneThreshold [optional]
min_num_identities_in_potential_role int Minimum number of identities in a potential role [optional]
potential_role_count int Number of potential roles [optional]
potential_roles_ready_count int Number of potential roles ready [optional]
type RoleMiningRoleType [optional]
email_recipient_id str The id of the user who will receive an email about the role mining session [optional]
identity_count int Number of identities in the population which meet the search criteria or identity list provided [optional]
saved bool The session's saved status [optional] [default to False]
name str The session's saved name [optional]
}

Example

from sailpoint.v2025.models.role_mining_session_dto import RoleMiningSessionDto

role_mining_session_dto = RoleMiningSessionDto(
scope=sailpoint.v2025.models.role_mining_session_scope.RoleMiningSessionScope(
                    identity_ids = [2c918090761a5aac0176215c46a62d58, 2c918090761a5aac01722015c46a62d42], 
                    criteria = 'source.name:DataScienceDataset', 
                    attribute_filter_criteria = {displayName={untranslated=Location: Miami}, ariaLabel={untranslated=Location: Miami}, data={displayName={translateKey=IDN.IDENTITY_ATTRIBUTES.LOCATION}, name=location, operator=EQUALS, values=[Miami]}}, ),
prune_threshold=50,
prescribed_prune_threshold=10,
min_num_identities_in_potential_role=20,
potential_role_count=0,
potential_roles_ready_count=0,
type='SPECIALIZED',
email_recipient_id='2c918090761a5aac0176215c46a62d58',
identity_count=0,
saved=True,
name='Saved RM Session - 07/10'
)

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