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TS29520_Nnwdaf_MLModelProvision.yaml
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openapi: 3.0.0
info:
title: Nnwdaf_MLModelProvision
version: 1.1.0-alpha.6
description: |
Nnwdaf_MLModelProvision API Service.
© 2024, 3GPP Organizational Partners (ARIB, ATIS, CCSA, ETSI, TSDSI, TTA, TTC).
All rights reserved.
externalDocs:
description: 3GPP TS 29.520 V18.5.0; 5G System; Network Data Analytics Services.
url: https://www.3gpp.org/ftp/Specs/archive/29_series/29.520/
servers:
- url: '{apiRoot}/nnwdaf-mlmodelprovision/v1'
variables:
apiRoot:
default: https://example.com
description: apiRoot as defined in clause 4.4 of 3GPP TS 29.501
security:
- {}
- oAuth2ClientCredentials:
- nnwdaf-mlmodelprovision
paths:
/subscriptions:
post:
summary: Create a new Individual NWDAF ML Model Provision Subscription resource.
operationId: CreateNWDAFMLModelProvisionSubcription
tags:
- Subscriptions (Collection)
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/NwdafMLModelProvSubsc'
responses:
'201':
description: Create a new Individual NWDAF ML Model Provision Subscription resource.
content:
application/json:
schema:
$ref: '#/components/schemas/NwdafMLModelProvSubsc'
headers:
Location:
description: >
Contains the URI of the newly created resource, according to the structure
{apiRoot}/nnwdaf-mlmodelprovision/v1/subscriptions/{subscriptionId}.
required: true
schema:
type: string
'400':
$ref: 'TS29571_CommonData.yaml#/components/responses/400'
'401':
$ref: 'TS29571_CommonData.yaml#/components/responses/401'
'403':
$ref: 'TS29571_CommonData.yaml#/components/responses/403'
'404':
$ref: 'TS29571_CommonData.yaml#/components/responses/404'
'411':
$ref: 'TS29571_CommonData.yaml#/components/responses/411'
'413':
$ref: 'TS29571_CommonData.yaml#/components/responses/413'
'415':
$ref: 'TS29571_CommonData.yaml#/components/responses/415'
'429':
$ref: 'TS29571_CommonData.yaml#/components/responses/429'
'500':
$ref: 'TS29571_CommonData.yaml#/components/responses/500'
'502':
$ref: 'TS29571_CommonData.yaml#/components/responses/502'
'503':
$ref: 'TS29571_CommonData.yaml#/components/responses/503'
default:
$ref: 'TS29571_CommonData.yaml#/components/responses/default'
callbacks:
myNotification:
'{$request.body#/notifUri}':
post:
requestBody:
required: true
content:
application/json:
schema:
type: array
items:
$ref: '#/components/schemas/NwdafMLModelProvNotif'
minItems: 1
responses:
'204':
description: No Content, Notification was succesfull
'307':
$ref: 'TS29571_CommonData.yaml#/components/responses/307'
'308':
$ref: 'TS29571_CommonData.yaml#/components/responses/308'
'400':
$ref: 'TS29571_CommonData.yaml#/components/responses/400'
'401':
$ref: 'TS29571_CommonData.yaml#/components/responses/401'
'403':
$ref: 'TS29571_CommonData.yaml#/components/responses/403'
'404':
$ref: 'TS29571_CommonData.yaml#/components/responses/404'
'411':
$ref: 'TS29571_CommonData.yaml#/components/responses/411'
'413':
$ref: 'TS29571_CommonData.yaml#/components/responses/413'
'415':
$ref: 'TS29571_CommonData.yaml#/components/responses/415'
'429':
$ref: 'TS29571_CommonData.yaml#/components/responses/429'
'500':
$ref: 'TS29571_CommonData.yaml#/components/responses/500'
'502':
$ref: 'TS29571_CommonData.yaml#/components/responses/502'
'503':
$ref: 'TS29571_CommonData.yaml#/components/responses/503'
default:
$ref: 'TS29571_CommonData.yaml#/components/responses/default'
/subscriptions/{subscriptionId}:
put:
summary: update an existing Individual NWDAF ML Model Provision Subscription
operationId: UpdateNWDAFMLModelProvisionSubcription
tags:
- Individual NWDAF ML Model Provision Subscription (Document)
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/NwdafMLModelProvSubsc'
parameters:
- name: subscriptionId
in: path
description: String identifying a subscription to the Nnwdaf_MLModelProvision Service.
required: true
schema:
type: string
responses:
'200':
description: >
The Individual NWDAF ML Model Provision Subscription resource was modified successfully
and a representation of that resource is returned.
content:
application/json:
schema:
$ref: '#/components/schemas/NwdafMLModelProvSubsc'
'204':
description: >
The Individual NWDAF ML Model Provision Subscription resource was modified successfully.
'307':
$ref: 'TS29571_CommonData.yaml#/components/responses/307'
'308':
$ref: 'TS29571_CommonData.yaml#/components/responses/308'
'400':
$ref: 'TS29571_CommonData.yaml#/components/responses/400'
'401':
$ref: 'TS29571_CommonData.yaml#/components/responses/401'
'403':
$ref: 'TS29571_CommonData.yaml#/components/responses/403'
'404':
$ref: 'TS29571_CommonData.yaml#/components/responses/404'
'411':
$ref: 'TS29571_CommonData.yaml#/components/responses/411'
'413':
$ref: 'TS29571_CommonData.yaml#/components/responses/413'
'415':
$ref: 'TS29571_CommonData.yaml#/components/responses/415'
'429':
$ref: 'TS29571_CommonData.yaml#/components/responses/429'
'500':
$ref: 'TS29571_CommonData.yaml#/components/responses/500'
'502':
$ref: 'TS29571_CommonData.yaml#/components/responses/502'
'503':
$ref: 'TS29571_CommonData.yaml#/components/responses/503'
default:
$ref: 'TS29571_CommonData.yaml#/components/responses/default'
delete:
summary: Delete an existing Individual NWDAF ML Model Provision Subscription.
operationId: DeleteNWDAFMLModelProvisionSubcription
tags:
- Individual NWDAF ML Model Provision Subscription (Document)
parameters:
- name: subscriptionId
in: path
description: String identifying a subscription to the Nnwdaf_MLModelProvision Service.
required: true
schema:
type: string
responses:
'204':
description: >
No Content. The Individual NWDAF ML Model Provision Subscription matching the
subscriptionId was deleted.
'307':
$ref: 'TS29571_CommonData.yaml#/components/responses/307'
'308':
$ref: 'TS29571_CommonData.yaml#/components/responses/308'
'400':
$ref: 'TS29571_CommonData.yaml#/components/responses/400'
'401':
$ref: 'TS29571_CommonData.yaml#/components/responses/401'
'403':
$ref: 'TS29571_CommonData.yaml#/components/responses/403'
'404':
$ref: 'TS29571_CommonData.yaml#/components/responses/404'
'429':
$ref: 'TS29571_CommonData.yaml#/components/responses/429'
'500':
$ref: 'TS29571_CommonData.yaml#/components/responses/500'
'502':
$ref: 'TS29571_CommonData.yaml#/components/responses/502'
'503':
$ref: 'TS29571_CommonData.yaml#/components/responses/503'
default:
$ref: 'TS29571_CommonData.yaml#/components/responses/default'
components:
securitySchemes:
oAuth2ClientCredentials:
type: oauth2
flows:
clientCredentials:
tokenUrl: '{nrfApiRoot}/oauth2/token'
scopes:
nnwdaf-mlmodelprovision: Access to the Nnwdaf_MLModelProvision API
schemas:
NwdafMLModelProvSubsc:
description: Represents NWDAF Event Subscription resources.
type: object
properties:
mLEventSubscs:
type: array
items:
$ref: '#/components/schemas/MLEventSubscription'
minItems: 1
description: Subscribed events
notifUri:
$ref: 'TS29571_CommonData.yaml#/components/schemas/Uri'
mLEventNotifs:
type: array
items:
$ref: '#/components/schemas/MLEventNotif'
minItems: 1
description: >
Notifications about Individual Events.Shall only be present if the immediate reporting
indication in the "immRep" attribute within the "eventReq" attribute sets to true in the
event subscription, and the reports are available.
suppFeats:
$ref: 'TS29571_CommonData.yaml#/components/schemas/SupportedFeatures'
notifCorreId:
type: string
eventReq:
$ref: 'TS29523_Npcf_EventExposure.yaml#/components/schemas/ReportingInformation'
failEventReports:
type: array
items:
$ref: '#/components/schemas/FailureEventInfoForMLModel'
minItems: 1
description: >
Supplied by the NWDAF containing MTLF when available, shall contain the event(s) that
the subscription is not successful including the failure reason(s).
required:
- mLEventSubscs
- notifUri
ModelProvisionParamsExt:
description: >
Extended parameters for ML model provisioning which can optionally be set by a service
consuumer NF.
type: object
properties:
reqRepRatio:
$ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
inferInpDataInfos:
type: array
items:
$ref: '#/components/schemas/InputDataInfo'
minItems: 1
description: >
Inference information that is used by NWDAF containing AnLF during inference.
multModelsInd:
type: boolean
description: Indicates if the NF service consumer supports multiple models.
numModels:
$ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
accuLevels:
type: array
items:
$ref: 'TS29520_Nnwdaf_EventsSubscription.yaml#/components/schemas/Accuracy'
minItems: 1
description: >
Provided accuracy levels of interest for ML models.
InputDataInfo:
description: Contains information about inference that is used by NWDAF containing AnLF.
type: object
properties:
ratio:
$ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
maxNumSamples:
$ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
maxTimeInterval:
$ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
inpEvent:
$ref: 'TS29574_Ndccf_DataManagement.yaml#/components/schemas/DccfEvent'
nfInstanceIds:
type: array
items:
$ref: 'TS29571_CommonData.yaml#/components/schemas/NfInstanceId'
minItems: 1
nfSetIds:
type: array
items:
$ref: 'TS29571_CommonData.yaml#/components/schemas/NfSetId'
minItems: 1
required:
- inpEvent
MLEventSubscription:
description: Represents a subscription to a single event.
type: object
properties:
mLEvent:
$ref: 'TS29520_Nnwdaf_EventsSubscription.yaml#/components/schemas/NwdafEvent'
mLEventFilter:
$ref: 'TS29520_Nnwdaf_AnalyticsInfo.yaml#/components/schemas/EventFilter'
tgtUe:
$ref: 'TS29520_Nnwdaf_EventsSubscription.yaml#/components/schemas/TargetUeInformation'
mLTargetPeriod:
$ref: 'TS29122_CommonData.yaml#/components/schemas/TimeWindow'
expiryTime:
$ref: 'TS29571_CommonData.yaml#/components/schemas/DateTime'
timeModelNeeded:
$ref: 'TS29571_CommonData.yaml#/components/schemas/DateTime'
mlEvRepCon:
$ref: '#/components/schemas/MLRepEventCondition'
modelInterInfo:
type: string
description: String representing the ML Model Interoperability Information.
nfConsumerInfo:
$ref: 'TS29510_Nnrf_NFManagement.yaml#/components/schemas/VendorId'
modelProvExt:
$ref: '#/components/schemas/ModelProvisionParamsExt'
description: >
Extended ML model parameters that a service consumer optionally sets when subscribing to
an ML model to be provisioned.
useCaseCxt:
type: string
description: >
Indicates the context of usage of the analytics. The value and format of this parameter
are not standardized.
inferDataForModel:
$ref: '#/components/schemas/InferenceDataForModelTrain'
modelId:
$ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
required:
- mLEvent
- mLEventFilter
NwdafMLModelProvNotif:
description: Represents notifications on events that occurred.
type: object
properties:
eventNotifs:
type: array
items:
$ref: '#/components/schemas/MLEventNotif'
minItems: 1
description: Notifications about Individual Events.
subscriptionId:
type: string
description: String identifying a subscription to the Nnwdaf_MLModelProvision Service.
required:
- eventNotifs
- subscriptionId
MLEventNotif:
description: Represents a notification related to a single event that occurred.
type: object
properties:
event:
$ref: 'TS29520_Nnwdaf_EventsSubscription.yaml#/components/schemas/NwdafEvent'
notifCorreId:
type: string
description: >
Contains notification correlation ID used to identify the subscription to which the
notification relates. It shall be set to the same value as the "notifCorreId" attribute
of NwdafMLModelProvSubsc data type.
mlFile:
type: string
description: Contains the ML model file.
mLFileAddr:
$ref: '#/components/schemas/MLModelAddr'
mLModelAdrf:
$ref: '#/components/schemas/MLModelAdrf'
validityPeriod:
$ref: 'TS29122_CommonData.yaml#/components/schemas/TimeWindow'
spatialValidity:
$ref: 'TS29554_Npcf_BDTPolicyControl.yaml#/components/schemas/NetworkAreaInfo'
addModelInfo:
type: array
items:
$ref: '#/components/schemas/AdditionalMLModelInformation'
minItems: 1
description: Contains the additional ML Model Information besides the ML Model Address
modelUniqueId:
$ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
allOf:
- required: [event]
- oneOf:
- required: [mLFileAddr]
- required: [mLModelAdrf]
FailureEventInfoForMLModel:
description: >
Represents the event(s) that the subscription is not successful including the failure
reason(s).
type: object
properties:
event:
$ref: 'TS29520_Nnwdaf_EventsSubscription.yaml#/components/schemas/NwdafEvent'
failureCode:
$ref: '#/components/schemas/FailureCode'
required:
- event
- failureCode
MLModelAddr:
description: Addresses of ML model files.
type: object
properties:
mLModelUrl:
$ref: 'TS29571_CommonData.yaml#/components/schemas/Uri'
mlFileFqdn:
type: string
description: The FQDN of the ML Model file.
oneOf:
- required: [mLModelUrl]
- required: [mlFileFqdn]
MLRepEventCondition:
description: Indicates the ML event reporting condition.
type: object
properties:
mlTrainRound:
$ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
mlTrainRepTime:
$ref: 'TS29122_CommonData.yaml#/components/schemas/TimeWindow'
mlAccuracyThreshold:
$ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
modelMetric:
$ref: '#/components/schemas/MLModelMetric'
AdditionalMLModelInformation:
description: Represents the additional ML Model Information.
type: object
properties:
mLFileAddr:
$ref: '#/components/schemas/MLModelAddr'
mLModelAdrf:
$ref: '#/components/schemas/MLModelAdrf'
validityPeriod:
$ref: 'TS29122_CommonData.yaml#/components/schemas/TimeWindow'
spatialValidity:
$ref: 'TS29554_Npcf_BDTPolicyControl.yaml#/components/schemas/NetworkAreaInfo'
modelUniqueId:
$ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
description: Unique identifier for an ML model.
modelRepRatio:
$ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
description: >
Minimum percentage of UEs whose data is used for training an ML model.
mlDegradInd:
type: boolean
description: >
Set to "true" to indicate support degration of an ML model. Set to "false" to indicate
not support degration of an ML model. Default value is "false" if omitted.
trainInpInfos:
type: array
items:
$ref: '#/components/schemas/TrainInputDataInfo'
minItems: 1
description: >
Training information that is used by NWDAF containing MTLF during training.
modelMetric:
$ref: '#/components/schemas/MLModelMetric'
accMLModel:
$ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
oneOf:
- required: [mLFileAddr]
- required: [mLModelAdrf]
required:
- modelUniqueId
MLModelAdrf:
description: ADRF (Set) information of the ML Model.
type: object
properties:
adrfId:
$ref: 'TS29571_CommonData.yaml#/components/schemas/NfInstanceId'
adrfSetId:
$ref: 'TS29571_CommonData.yaml#/components/schemas/NfSetId'
storTransId:
type: string
description: String identifying a Storage Transaction ID.
oneOf:
- required: [adrfId]
- required: [adrfSetId]
TrainInputDataInfo:
description: Contains Training input data information that is used by NWDAF containing MTLF.
type: object
properties:
dataInfo:
$ref: '#/components/schemas/InputDataInfo'
time:
$ref: 'TS29122_CommonData.yaml#/components/schemas/TimeWindow'
dataStatisticsInfos:
type: string
InferenceDataForModelTrain:
description: >
Indicates the inference data stored in ADRF which can be used by MTLF to retrain or
reprovision of the ML model.
type: object
properties:
adrfId:
$ref: 'TS29571_CommonData.yaml#/components/schemas/NfInstanceId'
adrfSetId:
$ref: 'TS29571_CommonData.yaml#/components/schemas/NfSetId'
dataSetTag:
$ref: 'TS29575_Nadrf_DataManagement.yaml#/components/schemas/DataSetTag'
modelId:
$ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
oneOf:
- required: [adrfId]
- required: [adrfSetId]
#
# ENUMERATIONS DATA TYPES
#
FailureCode:
anyOf:
- type: string
enum:
- UNAVAILABLE_ML_MODEL
- type: string
description: >
This string provides forward-compatibility with future extensions to the enumeration but
is not used to encode content defined in the present version of this API.
description: |
Represents the failure code.
Possible values are:
- UNAVAILABLE_ML_MODEL: Indicates the requested ML model for the event is unavailable.
MLModelMetric:
anyOf:
- type: string
enum:
- ACCURACY
- type: string
description: >
This string provides forward-compatibility with future extensions to the enumeration but
is not used to encode content defined in the present version of this API.
description: |
Represents the metric of the ML model.
Possible values are:
- ACCURACY: ML Model Accuracy metric.