from sailpoint.beta.models.recommendation_response_dto import RecommendationResponseDto
recommendation_response_dto = RecommendationResponseDto(
response=[
sailpoint.beta.models.recommendation_response.RecommendationResponse(
request = sailpoint.beta.models.recommendation_request.RecommendationRequest(
identity_id = '2c938083633d259901633d25c68c00fa',
item = sailpoint.beta.models.access_item_ref.AccessItemRef(
id = '2c938083633d259901633d2623ec0375',
type = 'ENTITLEMENT', ), ),
recommendation = 'true',
interpretations = [75% of identities with the same department have this access. This information had a high impact on the overall score., 67% of identities with the same peer group have this access. This information had a low impact on the overall score., 42% of identities with the same location have this access. This information had a low impact on the overall score.],
translation_messages = [{key=recommender-api.V2_WEIGHT_FEATURE_PRODUCT_INTERPRETATION_HIGH, values=[75, department]}],
recommender_calculations = sailpoint.beta.models.recommender_calculations.RecommenderCalculations(
identity_id = '2c91808457d8f3ab0157e3e62cb4213c',
entitlement_id = '2c91809050db617d0150e0bf3215385e',
recommendation = 'YES',
overall_weighted_score = 1.337,
feature_weighted_scores = {
'key' : 1.337
},
threshold = 1.337,
identity_attributes = {
'key' : sailpoint.beta.models.recommender_calculations_identity_attributes_value.RecommenderCalculations_identityAttributes_value(
value = '', )
},
feature_values = sailpoint.beta.models.feature_value_dto.FeatureValueDto(
feature = 'department',
numerator = 14,
denominator = 14, ), ), )
]
)