openapi: 3.0.0
info:
  version: 1.1.0-alpha.2
  title: Nadrf_MLModelManagement
  description: |
    ADRF ML Model Management Service.  
    © 2024, 3GPP Organizational Partners (ARIB, ATIS, CCSA, ETSI, TSDSI, TTA, TTC).  
    All rights reserved.
externalDocs:
  description: 3GPP TS 29.575 V19.1.0; 5G System; Analytics Data Repository Services; Stage 3.
  url: 'https://www.3gpp.org/ftp/Specs/archive/29_series/29.575/'
#
servers:
  - url: '{apiRoot}/nadrf-mlmodelmanagement/v1'
    variables:
      apiRoot:
        default: https://example.com
        description: apiRoot as defined in clause 4.4 of 3GPP TS 29.501.
#
security:
  - {}
  - oAuth2ClientCredentials:
    - nadrf-mlmodelmanagement
#
paths:
  /mlmodel-store-records:
    post:
      summary: Creates a new Individual ADRF ML Model Store Record resource.
      operationId: CreateADRFMLModelStoreRecord
      tags:
        - ADRF ML Model Store Records (Collection)
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/NadrfMLModelStoreRecord'
        required: true
        description: ADRF ML model store record to be stored.
      responses:
        '201':
          description: Successful creation of new Individual ADRF ML Model Store Record resource.
          headers:
            Location:
              description: >
                Contains the URI of the newly created resource, according to the structure
                {apiRoot}/nadrf-mlmodelmanagement/<apiVersion>/mlmodel-store-records/{storeTransId}
              required: true
              schema:
                type: string
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/NadrfMLModelStoreRecord'
        '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'
    get:
      summary: Retrieves existing Individual ADRF ML Model Store Record.
      operationId: GetAdrfMLModelStoreRecord
      tags:
        - ADRF ML Model Store Records (Collection)
      parameters:
        - name: store-trans-id
          description: A storage transaction identifier of a ML model store record in ADRF.
          in: query
          required: false
          schema:
            type: string
        - name: model-unique-ids
          description: Unique Model identifier of a ML model.
          in: query
          required: false
          schema:
            type: array
            items:
              $ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
        - name: supported-features
          description: The features supported by the NF service consumer.
          in: query
          required: false
          schema:
            $ref: 'TS29571_CommonData.yaml#/components/schemas/SupportedFeatures'
      responses:
        '200':
          description: ML model store records are returned.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/NadrfMLModelStoreRecord'
        '204':
          description: No matching ADRF ML Model were found.
        '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'
        '406':
          $ref: 'TS29571_CommonData.yaml#/components/responses/406'
        '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'
  /mlmodel-store-records/{storeTransId}:
    delete:
      summary: Delete an existing Individual ADRF ML Model Store Record.
      operationId: DeleteADRFMLModelStoreRecord
      tags:
        - Individual ADRF ML Model Store Record (Document)
      parameters:
        - name: storeTransId
          in: path
          description: String identifying a ML Model Store Record in ADRF.
          required: true
          schema:
            type: string
      responses:
        '200':
          description: >
            Attempted to remove ML model(s) in the Individual ADRF ML Model Store Record resource.
            The result is returned.
          content:
            application/json:
              schema:
                type: array
                items:
                  $ref: '#/components/schemas/MLModelDelResult'
                minItems: 1
        '204':
          description: >
            No Content. The Individual ADRF ML Model Store Record resource matching the
            storeTransId 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'
    put:
      summary: Update an existing Individual ADRF ML Model Store Record
      operationId: UpdateADRFMLModelStoreRecord
      tags:
        - Individual ADRF ML Model Store Record (Document)
      parameters:
        - name: storeTransId
          in: path
          description: String identifying a ML Model Store Record in ADRF.
          required: true
          schema:
            type: string
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/NadrfMLModelStoreRecord'
        required: true
      responses:
        '200':
          description: >
            The Individual ADRF ML Model Store Record resource was modified successfully
            and a representation of that resource is returned.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/NadrfMLModelStoreRecord'
        '204':
          description: The Individual ADRF ML Model Store Record 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'
  /remove-stored-mlmodel:
    post:
      summary: Remove stored ML model based on unique ML model identifier.
      operationId: DeleteADRFMLModel
      tags:
        - ADRF Stored ML Model
      requestBody:
        content:
          application/json:
            schema:
              type: array
              items:
                $ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
              minItems: 1
        required: true
      responses:
        '200':
          description: >
            The ADRF ML model matching the provided unique ML model identifier
            was attempted to be deleted. The result is returned.
          content:
            application/json:
              schema:
                type: array
                items:
                  $ref: '#/components/schemas/MLModelDelResult'
                minItems: 1
        '204':
          description: >
            No Content. The ML models matching all identifiers provided in the request body
            were 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'
        '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'
#
components:
  securitySchemes:
    oAuth2ClientCredentials:
      type: oauth2
      flows:
        clientCredentials:
          tokenUrl: '{nrfApiRoot}/oauth2/token'
          scopes:
            nadrf-mlmodelmanagement: Access to the nadrf-mlmodelmanagement API
#
  schemas:
#
    NadrfMLModelStoreRecord:
      description: Represents an Individual ADRF ML Model Store Record.
      type: object
      allOf:
        - oneOf:
          - required: [nfInstanceId]
          - required: [nfSetId]
        - anyOf:
          - required: [mlModelInfo]
          - required: [mlModels]
      properties:
        nfInstanceId:
          $ref: 'TS29571_CommonData.yaml#/components/schemas/NfInstanceId'
        nfSetId:
          $ref: 'TS29571_CommonData.yaml#/components/schemas/NfSetId'
        mlModelInfo:
          type: array
          items:
            $ref: '#/components/schemas/MLModelInfo'
          minItems: 1
          description: List of ML Model Information.
        mlModels:
          type: array
          items:
            $ref: '#/components/schemas/MLModel'
          minItems: 1
          description: Represents ML Model(s).
        modelStoreResult:
          $ref: '#/components/schemas/ModelStoreResult'
        suppFeat:
          $ref: 'TS29571_CommonData.yaml#/components/schemas/SupportedFeatures'
#
    MLModelInfo:
      description: Represents informatiom of the ML Model.
      type: object
      allOf:
        - required: [modelUniqueId]
        - required: [mlFileAddr]
        - required: [mlStorageSize]
      properties:
        modelUniqueId:
          $ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
        mlFileAddr:
          $ref: 'TS29520_Nnwdaf_MLModelProvision.yaml#/components/schemas/MLModelAddr'
        mlStorageSize:
          $ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
        allowConsumerList:
          type: array
          items:
            $ref: '#/components/schemas/AllowedConsumer'
          minItems: 1
          description: The allowed consumer list of the ML Model.
#
    AllowedConsumer:
      description: Represents informatiom of the allowed consumer list of the ML Model.
      type: object
      properties:
        nfInstanceId:
          $ref: 'TS29571_CommonData.yaml#/components/schemas/NfInstanceId'
        nfSetId:
          $ref: 'TS29571_CommonData.yaml#/components/schemas/NfSetId'
      oneOf:
        - required: [nfInstanceId]
        - required: [nfSetId]
#
    MLModelDelResult:
      description: Represents informatiom of the ML Model.
      type: object
      allOf:
        - required: [modelUniqueId]
        - required: [deleteResult]
      properties:
        modelUniqueId:
          $ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
        deleteResult:
          $ref: '#/components/schemas/DeleteResult'
#
    MLModel:
      description: Represents an ML Model.
      type: object
      allOf:
        - required: [modelUniqueId]
        - required: [mlModel]
      properties:
        modelUniqueId:
          $ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
        mlModel:
          $ref: 'TS29571_CommonData.yaml#/components/schemas/Binary'
        allowConsumerList:
          type: array
          items:
            $ref: '#/components/schemas/AllowedConsumer'
          minItems: 1
          description: The allowed consumer list of the ML Model.
#
    ModelStoreResult:
      description: Contains information about ML Model storage result.
      type: object
      allOf:
        - required: [modelUniqueId]
        - required: [storeResult]
      properties:
        modelUniqueId:
          $ref: 'TS29571_CommonData.yaml#/components/schemas/Uinteger'
        storeResult:
          $ref: '#/components/schemas/StoreResult'
#
# ENUMERATIONS DATA TYPES
#
    DeleteResult:
      anyOf:
      - type: string
        enum:
          - ML_MODEL_DELETED
          - ML_MODEL_NOT_FOUND
          - ML_MODEL_FOUND_BUT_NOT_DELETED
      - 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 store result type.  
        Possible values are:
        - ML_MODEL_DELETED: Indicates that the ML model was deleted in ADRF.
        - ML_MODEL_NOT_FOUND: Indicates that the ML model was not found in ADRF.
        - ML_MODEL_FOUND_BUT_NOT_DELETED: Indicates that the ML model was found in ADRF but not deleted.

#
    StoreResult:
      anyOf:
      - type: string
        enum:
          - ML_MODEL_FILE_STORED_IN_ADRF
          - ML_MODEL_FILE_ADDRESS_NOT_FOUND
          - ML_MODEL_FILE_DOWNLOAD_FAILED
      - 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 store result type.  
        Possible values are:
        - ML_MODEL_FILE_STORED_IN_ADRF: Indicates that the ML model was successfully stored in ADRF.
        - ML_MODEL_FILE_ADDRESS_NOT_FOUND: Indicates that the ML model file address was not found.
        - ML_MODEL_FILE_DOWNLOAD_FAILED: Indicates that the download of the ML model file failed.
