v.1.4.1

Quick bugfix release that corrects the endpoint on V2 metadata_tml_export

v.1.4.0 - V2.0 GA API support

Version 1.4.0 brings a complete re-write to the TSRestApiV2 class to support the 9.0.0+ V2.0 GA API. There is also updates to TSRestApiV1 class to reflect the additional features around Orgs and Trusted Authentication. Expect additional updates soon as more Orgs details are worked out and workflows established

v.1.3.1

v.1.3.1 adds the 'enable_block_tml_metadata_sync' parameter to metadata_tml_import(). This is a preview; will not be widely available until cloud 9.0.0 is GA. Is optional, must be set to True to actually be included in the call. Only change in this release from 1.3.0

v.1.3.0

Implements the new 'export_fqn' argument of /metadata/tml/export and sets it on by default. Note, this doesn't exist on prior to ThoughtSpot 8.9.0, so there is a flag on the TSRestApiV1 object 'can_export_fqn' that you can set to False to force the older behavior without the additional argument.

v.1.2.3

Matches v.1.2.3 on PyPi, with fixes to a few signatures and missing helper functions for certain actions

v.1.2.1

Additional updates from the process of porting all functionality from the ts_rest_api_and_tml_tools wrapper. A better implementation of the V1 trusted auth token request. New ENUMs, etc.

v.1.2.0

v.1.2.0 release includes several major changes:

1. TSTypes enumeration is introduced to replaced MetadataSubtypes and MetadataNames (which is has been renamed to MetadataTypes)
2. TSRestApiV2 class to call any of the methods that provide functionality not available in V1
3. Some methods have been renamed to remove a second underscore ( anything ending in __post or __get is now _post or _get)
4. Many examples that were previously contained in the https://github.com/thoughtspot/ts_rest_api_and_tml_tools project have been ported over and simplified down to just use the TSRestApiV1 class. This process will continue other than scripts that integrate the REST API and TML libraries

This release matches the 1.2.0 release on PyPi which is how to install it