Version 1.0.27

Added

• New ApiConnectionError
• request_realtime method now supports keep_alive

Version 1.0.26

Added

New common_request_params attribute on the RPApi object to send extra
params to the requests library

Version 1.0.25

Improved

request_realtime now doesn't buffer RT requests to avoid waiting for chunks.

Version 1.0.24

Added

Support for the job cancellation endpoint (while a job is in the ENQUEUED
state)

job = ds.request_datafile(...)
job.cancel()

Improved

Job.wait_for_completion raises an exception if the job goes in ERROR so we
don't wait forever.

Version 1.0.23

Fixed

Fixed encoding issues with differences in Python2 and Python3

Improved

Jobs are now iterable

Version 1.0.22

Added

Created EntityTypeReference to query the whole of entity reference

Version 1.0.21

Changed

Requesting Ad-Hoc json() will use the dataset frequency as the default one

Version 1.0.20

Changed

Saving job to file raises an exception when there is an error in the API call

Version 1.0.19

Added

Added 2 more options (SPLIT_WEEKLY and SPLIT_DAILY) to the method time_intervals, used to download a datafile in chunks:

from ravenpackapi.util import (
  SPLIT_YEARLY,
  SPLIT_MONTHLY,
  SPLIT_WEEKLY,
  SPLIT_DAILY,
  time_intervals
)
split = SPLIT_DAILY
for range_start, range_end in time_intervals(start_date, end_date, split=split):
    job = ds.request_datafile(
        start_date=range_start,
        end_date=range_end,
        compressed=GET_COMPRESSED,
    )
    ...

Version 1.0.18

Added

Now datasets can not only be created but updated as well via the
dataset.save() method.