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JobManager.show_jobs()

Returns information about the queue and all previously created jobs.

⚠️ Important Note: Once an engine is suspended, job IDs are no longer available. However, experiment results and model run IDs remain accessible via Snowflake experiment tracking.

Returns

Section titled “Returns”

A dictionary contatining:

  • active_job: ID of the currently active job.
  • n_queued_jobs: Number of jobs currently waiting in the queue.
  • queued_jobs: List of job IDs waiting in the queue.
  • completed_job: List of job IDs and their types (train, inference, train_inference) for all completed jobs.
  • failed_jobs: List of job IDs and their types (train, inference, train_inference) for all failed jobs.
  • canceled_jobs: List of job IDs canceled by the user.

Example

Section titled “Example”
from relationalai_gnns import JobManager
job_manager = JobManager(connector=connector)
job_manager.show_jobs()