This repository is no longer maintained in favour of Official Apache Atlas' python client: https://pypi.org/project/apache-atlas/
Apache Atlas client in Python. Only compatible with Apache Atlas REST API v2.
Based on the awesome work done by Poullet in atlasclient
- Free software: Apache Software License 2.0
- Documentation: https://pyatlasclient.readthedocs.io
from atlasclient.client import Atlas
client = Atlas('<atlas.host>', port=21000, username='admin', password='admin')
client.entity_guid("<guid>").status
params = {'typeName': 'DataSet', 'attrName': 'name', 'attrValue': 'data', 'offset': '1', 'limit':'10'}
search_results = client.search_attribute(**params)
for s in search_results:
for e in s.entities:
print(e.name)
print(e.guid)
- Lazy loading: requests are only performed when data are required and not yet available
- Leverages Python's Data Classes for Glossary.
- Resource object relationships: REST API from sub-resources are done transparently for the user, for instance the user does not have to know that it needs to trigger a different REST request for getting the classifications of a specific entity.
- allow multiprocessing
- Implement Caching
- Apply Data Classes to all entity types. For now only Glossary endpoints are using it.
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.