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.v2024.models.role_mining_session_dto import RoleMiningSessionDto
role_mining_session_dto = RoleMiningSessionDto(
scope=sailpoint.v2024.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'
)