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BatchDelete

  • 아티클

Removes an applied document understanding model from one or more libraries. Note that a model must be removed from all libraries before it can be deleted (see example).

HTTP request

POST /_api/machinelearning/publications/batchdelete HTTP/1.1

URI parameters

None

Request headers

Header Value
Accept application/json;odata=verbose
Content-Type application/json;odata=verbose;charset=utf-8
x-requestdigest The appropriate digest for current site.

Request body

Name Required Type Description
Publications yes MachineLearningPublicationEntityData[] The collection of MachineLearningPublicationEntityData each of which specifies the model and target document library.

MachineLearningPublicationEntityData

Name Required Type Description
ModelUniqueId yes string The unique ID of the model file.
TargetSiteUrl yes string The full URL of the target library site.
TargetWebServerRelativeUrl yes string The server relative URL of the web for the target library.
TargetLibraryServerRelativeUrl yes string The server relative URL of the target library.

Response

Name Type Description
200 OK This is a customized API to support removing a model from multi document libraries. In the case of partial success, 200 OK could still be returned and the caller needs to inspect the response body to understand if the model has been successfully removed from a document library.

Response Body

Name Type Description
TotalSuccesses int The total number of a model being successfully removed from a document library.
TotalFailures int The total number of a model failing to be removed from a document library.
Details MachineLearningPublicationResult[] The collection of MachineLearningPublicationResult each of which specifies the detailed result of removing the model from a document library.

MachineLearningPublicationResult

Name Type Description
StatusCode int The HTTP status code.
ErrorMessage string The error message which tells what's wrong when apply the model to the document library.
Publication MachineLearningPublicationEntityData It specifies the model info and the target document library.

MachineLearningPublicationEntityData

Name Type Description
ModelUniqueId string The unique ID of the model file.
TargetSiteUrl string The full URL of the target library site.
TargetWebServerRelativeUrl string The server relative URL of the web for the target library.
TargetLibraryServerRelativeUrl string The server relative URL of the target library.

Examples

Remove a model from the contracts document library in the repository site

In this sample, the ID of the Contoso Contract document understanding model is 7645e69d-21fb-4a24-a17a-9bdfa7cb63dc.

Sample request

{
    "publications": [
        {
            "ModelUniqueId": "7645e69d-21fb-4a24-a17a-9bdfa7cb63dc",
            "TargetSiteUrl": "https://constco.sharepoint-df.com/sites/docsite",
            "TargetWebServerRelativeUrl": "/sites/docsite ",
            "TargetLibraryServerRelativeUrl": "/sites/dcocsite/joedcos"
        }
    ]
}

Sample response

In the response, TotalFailures and TotalSuccesses refer to the number of failures and successes of the model being removed from the specified libraries.

Status code: 200

{
    "Details": [
        {
            "ErrorMessage": null,
            "Publication": {
                "ModelUniqueId": "7645e69d-21fb-4a24-a17a-9bdfa7cb63dc",
                "TargetSiteUrl": "https://contoso.sharepoint.com/sites/repository/",
                "TargetWebServerRelativeUrl": "/sites/repository",
                "TargetLibraryServerRelativeUrl": "/sites/repository/contracts",
                "ViewOption": "NewViewAsDefault"
            },
            "StatusCode": 200
        }
    ],
    "TotalFailures": 0,
    "TotalSuccesses": 1
}

See also

Syntex document understanding model REST API