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watson-assistant-workbench

WAW is a toolkit for maintaining Watson Assistant data in github repository. It aims at

  • structured data-driven approach, with easy diffs visible in GitHub
  • easy collaboration among large teams
  • improved dialog tree representation resulting in greater readability and easier updates compared to the original WA JSON format
  • easy-to-use XML format and tools that make authoring of Watson Conversation workspaces easier using standard text editors
  • ability to easily include and combine pieces of dialog together
  • full compatibility with the WA JSON workspace format
  • easy Continuous Integration - each commit to GitHub runs tests and updates conversation workspace if all succeed
  • automatic dialog code generation (go back, abort, etc. - actions needed in each dialog step)
  • support for internationalization
  • and more :)

It contains a bundle of tools for generating WA workspace from the structure data (and viceversa), testing and uploading (working with the WCS API).

Currently supported conversation version is 2017-02-03 except:

  • Fuzzy matching, Folders and Digression are not supported.
  • A name of a dialog node still has to be unique as it is used as node ID.
  • Missing "slot_in_focus" property.
  • Slots are not supported in json to xml conversion scripts.

Scripts use python 2.7, used modules are listed in the requirements.txt file. To satisfy all requirements run

pip install -r requirements.txt

For brief summary how to run scripts please see scripts.md.

Description of T2C and xml/csv WAW formats can be found in doc folder.

Release notes can be found in release_notes.md.

About

Framework for maintaining Watson Assistant data in github repository with bundle of tools for generating, testing and uploading. Travis: https://travis-ci.com/IBM/watson-assistant-workbench. Artifactory: https://na.artifactory.swg-devops.com/artifactory/webapp/#/artifacts/browse/tree/General/iot-waw-trevis-generic-local.

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