DeployedAlgorithm

更新时间:
复制 MD 格式

Represents an algorithm deployed in an OpenSearch application, including its deployment status, associated models, and the scenario in which it runs.

Example

{
    "id": "281",
    "appGroupName": "tongtianhe_apitest",
    "scene": "SECOND_RANK",
    "desc": "",
    "models": [{
        "modelName": "popV2",
        "modelId": 363,
        "progress": 100,
        "status": "IN_SERVICE",
        "projectId": 1747,
        "algorithmType": "POP"
    }],
    "gmtCreate": "2020-02-07T10:59:12+0000",
    "gmtModified": "2020-02-07T11:15:02+0000",
    "status": "IN_SERVICE",
    "apps": [
        "100298098"
    ]
}

Structure

FieldTypeDescription
idIntegerThe ID of the deployed algorithm.
appGroupNameStringThe name of the application.
sceneStringThe scenario in which the algorithm is deployed. Valid values: FIRST_RANK (rough sort) and SECOND_RANK (fine sort).
descStringThe description of the algorithm.
models[]ObjectThe algorithm models deployed for this entry. For more information, see DeployedAlgorithmModel.
statusStringThe deployment status. Valid values: UNKNOWN (status is unknown), PREDICTING (model prediction is in progress), PENDING (waiting to be deployed), REINDEX_PENDING (waiting for reindexing), REINDEXING (indexes are being rebuilt and the rough sort expression is being created), DEPLOYING (being deployed and the fine sort expression is being created), IN_SERVICE (the algorithm takes effect), OFFLINE (the algorithm is offline), TARGET_MISSING (the target algorithm to be deployed does not exist).
appsArrayThe version for which the algorithm is deployed.
gmtCreateStringThe time when the algorithm was deployed.
gmtModifiedStringThe time when the algorithm was last updated.