v0.15.1

Changed

• Better filter tuning of client.list_jobs(args) method

Added

• Dataset method to filter jobs, and statistics on running jobs
  Example:

>>> client = nucleus.NucleusClient(API_KEY)
>>> ds = client.get_dataset(ds_id)
>>> ds.jobs(show_completed=True, stats_only=True)
{'autotagInference': {'Cancelled': 1, 'Completed': 11},
 'modelRunCommit': {'Completed': 7, 'Errored_Server': 1, 'Running': 1},
 'sliceQuery': {'Completed': 40, 'Running': 2}}

Detailed Example

>>> from nucleus.job import CustomerJobTypes
>>> client = nucleus.NucleusClient(API_KEY)
>>> ds = client.get_dataset(ds_id)
>>> from_date = "2022-12-20"; to_date = "2023-01-15"
>>> job_types = [CustomerJobTypes.MODEL_INFERENCE_RUN, CustomerJobTypes.UPLOAD_DATASET_ITEMS]
>>> ds.jobs(
  from_date=from_date,
  to_date=to_date,
  show_completed=True,
  job_types=job_types,
  limit=150
)
# ... returns list of AsyncJob objects