rasa 2.5.0

on Python PyPI

Deprecations and Removals

• #8141: The following import abbreviations were removed:
  • rasa.core.train: Please use rasa.core.train.train instead.
  • rasa.core.visualize: Please use rasa.core.visualize.visualize instead.
  • rasa.nlu.train: Please use rasa.nlu.train.train instead.
  • rasa.nlu.test: Please use rasa.nlu.test.run_evaluation instead.
  • rasa.nlu.cross_validate: Please use rasa.nlu.test.cross_validate instead.

Features

• #7869: Upgraded Rasa to be compatible with spaCy 3.0.

  This means that we can support more features for more languages but there are also a few changes.

  SpaCy 3.0 deprecated the spacy link <language model> command so that means that from now on the
  full model name needs to be used in the config.yml file.

  Before

  Before you could run spacy link en en_core_web_md and then we would be able
  to pick up the correct model from the language parameter.

  language: en
  
  pipeline:
     - name: SpacyNLP

  Now

  This behavior will be deprecated and instead you'll want to be explicit in config.yml.

  language: en
  
  pipeline:
     - name: SpacyNLP
       model: en_core_web_md

  Fallback

  To make the transition easier, Rasa will try to fall back to a medium spaCy model when-ever
  a compatible language is configured for the entire pipeline in config.yml even if you don't
  specify a model. This fallback behavior is temporary and will be deprecated in Rasa 3.0.0.

  We've updated our docs to reflect these changes. All examples now show a direct link to the
  correct spaCy model. We've also added a warning to the SpaCyNLP
  docs that explains the fallback behavior.

Improvements

• #4280: Improved CLI startup time.

• #4596: Add augmentation and num_threads arguments to API POST /model/train

  Fix boolean casting issue for force_training and save_to_default_model_directory arguments

• #7477: Add minimum compatible version to --version command

• #7660: Updated warning for unexpected slot events during prediction time to Rasa Open Source
  2.0 YAML training data format.

• #7701: Hide dialogue turns predicted by RulePolicy in the tracker states
  for ML-only policies like TEDPolicy
  if those dialogue turns only appear as rules in the training data and do not appear in stories.

  Add set_shared_policy_states(...) method to all policies.
  This method sets _rule_only_data dict with keys:

  • rule_only_slots: Slot names, which only occur in rules but not in stories.
  • rule_only_loops: Loop names, which only occur in rules but not in stories.

  This information is needed for correct featurization to hide dialogue turns that appear only in rules.

• #8208: Faster reading of YAML NLU training data files.

• #8335: Added partition_by_sender flag to Kafka Producer to optionally associate events with Kafka partition based on sender_id.

Bugfixes

• #7260: Fixed the 'loading model' message which was logged twice when using rasa run.

• #7379: Change training data validation to only count nlu training examples.

• #7450: Rule tracker states no longer include the initial value of slots.
  Rules now only require slot values when explicitly stated in the rule.

• #7640: rasa test, rasa test core and rasa test nlu no longer show temporary paths
  in case there are issues in the test files.

• #7690: Resolved memory problems with dense features and CRFEntityExtractor

• #7916: Handle empty intent and entity mapping in the domain.

  There is now an InvalidDomain exception raised if in the domain.yml file there are empty intent or entity mappings.
  An example of empty intent and entity mappings is the following :

  intents:
    - greet:
    - goodbye:
  
  entities:
    - cuisine:
    - number:
  

• #8102: Fixed a bug in a form where slot mapping doesn't work if the predicted intent name is substring for another intent name.

• #8114: Fixes bug where stories could not be retrieved if entities had no start or end.

• #8178: Catch ChannelNotFoundEntity exception coming from the pika broker and raise as ConnectionException.

• #8337: Fix bug with NoReturn throwing an exception in Python 3.7.0 when running rasa train

• #8382: Throw RasaException instead of ValueError in situations when environment variables
  specified in YAML cannot be expanded.

• #8343: Updated python-engineio version for compatibility with python-socketio

Miscellaneous internal changes

• #6511, #7640, #7827, #8056, #8117, #8141, #8240