Get started

>>> 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)

Features

• Lazy loading: requests are only performed when data are required and not yet available

• 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.

TODO features

• allow multiprocessing

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

1.0.0 (2019-08-10)

• Adds the helper functions to parse the qualified name

• Updates the version to 1.x to get some confidence from community as the module is pretty stable now

0.1.8 (2019-08-08)

• Add support for Atlas’ Admin Metrics REST API

0.1.7 (2019-07-08)

• Add support for Atlas’ DSL Saved Search (#81)

• Fixes list lookups for searching

0.1.6 (2019-04-26)

• Call of DependentClass inflate (#79)

0.1.5 (2019-04-24)

• Add support for Post type Basic Search (#76)

0.1.4 (2019-04-16)

• fixes (BasicSearch, when no result in _data, etc)

0.1.3 (2019-04-05)

• HTTP Auth

• Basic search inflate

• relationshipAttributes

0.1.2 (2018-03-27)

• Bug fixes

• Response is returned after entity creation (easier to figure out the guid)

0.1.1 (2018-03-07)

• Bug fixes

• Most of the resources have been implemented (except RelationshipREST)

• Basic authentication (only the Basic token is sent on the network)

0.1.0 (2018-01-09)

• First push.