update_checkpoint takes a different form for expectations than add_checkpoint_from_expectations_config. There should be a way to update checkpoints by passing a full expectations_config
def update_checkpoint(
self,
checkpoint_id,
autoinspection_status=None,
expectations=None,
sections=None):
"""Update an existing checkpoint.
Args:
checkpoint_id (int or str Relay id) -- The id of the checkpoint
to update.
Kwargs:
autoinspection_status (str) -- The status of autoinspection, if
that is to be updated (default: None, no change).
expectations (list) -- A list of dicts representing expectations
to be created & added to the checkpoint (default: None,
no change). Note: semantics are append.
sections (list) -- A list of dicts representing sections, with
optionally nested questions and expectations, each to be
created and associated (default: None, no change). Note:
semantics are append.
...
def add_checkpoint_from_expectations_config(
self, expectations_config, name):
"""Create a new checkpoint from a great_expectations expectations
config.
Args:
expectations_config (dict) - An expectations config as returned by
great_expectations.dataset.DataSet.get_expectations_config.
Note that this is not validated here or on the server side --
failures will occur at evaluation time.
update_checkpointtakes a different form forexpectationsthanadd_checkpoint_from_expectations_config. There should be a way to update checkpoints by passing a fullexpectations_config