rasa-hydra 2.6.36

Forked from the open source machine learning framework, Rasa

Rasa-Hydra (Forked from Rasa)

Rasa-Hydra is forked from the official Rasa repo and maintained by the Hydra team. Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa-Hydra, you can build chatbots on:

• Facebook Messenger
• Slack
• Microsoft Bot Framework
• Rocket.Chat
• Mattermost
• Telegram
• Twilio
• Your own custom conversational channels

or voice assistants as:

• Alexa Skills
• Google Home Actions

Rasa-Hydra's primary purpose is to help you build contextual, layered conversations with lots of back-and-forth. To have a real conversation, you need to have some memory and build on things that were said earlier. Rasa-Hydra lets you do that in a scalable way.

Development Internals

Running the Tests

In order to run the tests, make sure that you have the development requirements installed:

export PIP_USE_PEP517=false
pip3 install -r requirements-dev.txt
pip3 install -e .
make prepare-tests-ubuntu # Only on Ubuntu and Debian based systems
make prepare-tests-macos  # Only on macOS

Then, run the tests:

make test

They can also be run at multiple jobs to save some time:

make test -j [n]

Where [n] is the number of jobs desired. If omitted, [n] will be automatically chosen by pytest.

Steps to release a new version

Releasing a new version is quite simple, as the packages are build and distributed by travis.

Terminology:

• patch release (third version part increases): 1.1.2 -> 1.1.3
• minor release (second version part increases): 1.1.3 -> 1.2.0
• major release (first version part increases): 1.2.0 -> 2.0.0

Release steps:

1. Make sure all dependencies are up to date (especially Rasa SDK)

2. Switch to the branch you want to cut the release from (master in case of a major / minor, the current feature branch for patch releases)

3. Run make release

4. Create a PR against master or the release branch (e.g. 1.2.x)

5. Once your PR is merged, tag a new release (this SHOULD always happen on master or release branches), e.g. using

   git tag 1.2.0 -m "next release"
   git push origin 1.2.0 --tags
   

   travis will build this tag and push a package to pypi

6. If this is a minor release, a new release branch should be created pointing to the same commit as the tag to allow for future patch releases, e.g.

   git checkout -b 1.2.x
   git push origin 1.2.x
   

7. Packaging the Rasa-Hydra project. For more information, please refer to this guide.

   1. Make sure you have the latest versions of setuptools and wheel installed:

      python3 -m pip install --user --upgrade setuptools wheel
      

   2. Bump up the version in the dialog_manager/version.py.

   3. Build the package locally.

      python3 setup.py sdist bdist_wheel
      

8. Upload the package to PyPI/Test PyPI.

   1. Install twine from PyPI.

      pip install twine
      

   • PyPI

     python3 -m twine upload dist/*
     

   • Test PyPI

     python3 -m twine upload --repository-url https://test.pypi.org/legacy/ dist/*