Ravenpackapi

Fixed

Fixed issue creating an Edge dataset without product attribute specified, but specifying the product in the `RPApi` object:

python
from ravenpackapi import RPApi, Dataset

api = RPApi(api_key="YOUR_API_KEY", product="edge")

ds = api.create_dataset(
Dataset(
name="New Dataset",
filters={"entity_relevance": {"$gte": 90}},
)
)


Since the product is not specified in `Dataset`'s `__init__`, the incorrect
product was being passed to the API, resulting in the message.

Fixed

Handle a corner case in the entity-mapping endpoint where the API returns no errors but also no mapped entities

Fixed

Fixed an issue installing the package, which affected the Version 1.1.1, specifically while doing `python setup.py egg_info`.

Removed

* Removed dependency on `future` 9

Fixed

Fixed bug with lazy loading that caused the wrong product (`RPA`) being sent
_sometimes_ when saving a dataset without modifying it.

To reproduce the issue:
python
from ravenpackapi import RPApi
api = RPApi(product="edge")
ds = api.get_dataset("SOME_DATASET_ID")
ds.save()


Note that this error is not always triggered and is not deterministic.

New

Support for Anaconda

Added
New flag to store the entity mapping data in memory, when using `edge`. Use
with caution.

python
eref = api.get_entity_type_reference(entity_type, "full", file_date)
eref.store_in_memory = True
for entity in eref:
print(entity)