Job history

Overview

The job history receives a set of parameters and returns related job lists and details. The Jobs service allows to monitor jobs and access the job history. Job history routes support pagination and may require filters.

The jobs object

{
    "jobIdentifier": "...",
    "submittedBy": "...",
    "accountIdentifier": "...",
    "model": {},
    "status": "...",
    "createdAt": "...",
    "updatedAt": "...",
    "submittedAt": "...",
    "total": 1,
    "pending": 1,
    "completed": 0,
    "failed": 0,
    "elapsedTime": 12345,
    "queueTime": 12345,
    "timeout": 99999,
    "user": {},
    "jobInputs": [],
    "inputByteAmount": 12345,
    "imageClassificationModel": true
}

Parameter	Type	Description
jobIdentifier	string	The job’s identifier.
submittedBy	string	The API key that submitted the job.
accountIdentifier	string	Identifier linked to the account that requested the job.
model	object	An object that contains the model’s parameters. It can be used as a filter.
status	string	Status of the jobs to be fetched. Defaults to all. It accepts all, timedout, pending, or terminated.
createdAt	string	Time that the job was created in ISO8601 (YYYY-MM-DDThh:mm:ss.sTZD) format.
updatedAt	string	Time that the job status was updated in ISO8601 (YYYY-MM-DDThh:mm:ss.sTZD) format.
submittedAt	string	Time that the job was submitted in ISO8601 (YYYY-MM-DDThh:mm:ss.sTZD) format.
total	number	Amount of items submitted to the job.
pending	number	Amount of items in the item queue, not yet processed by the job.
completed	number	Amount of items processed by the job.
failed	number	Amount of items that the job couldn’t process.
queueTime	number	Time between the job is first submitted and it starts to run the first input in milliseconds.
elapsedTime	number	Time between the job starts to run until it is completed in milliseconds.
timeout	number	Contains a timeout in milliseconds for the job’s status to transition to TIMEDOUT. If it’s not set, jobs don’t timeout.
explain	boolean	Sets the explainability feature when a model offers the option.
user	object	An object that contains the user’s parameters.
jobInputs	array	An array that contains the input objects.
inputByteAmount	number	The job’s total input weight in bytes.
imageClassificationModel	boolean	A flag for image classification models. If true, it creates lightweight samples for the images.