# Rasa Change Log All notable changes to this project will be documented in this file. This project adheres to [Semantic Versioning](http://semver.org/) starting with version 1.0. ## [Unreleased 1.2.10] - [master](https://github.com/RasaHQ/rasa/) ### Added ### Changed ### Removed ### Fixed ## [1.2.9] - 2019-09-17 ### Fixed - Correctly pass SSL flag values to x CLI command ## [1.2.8] - 2019-09-10 ### Fixed - SQL tracker events are retrieved ordered by timestamps. This fixes interactive learning events being shown in the wrong order. ## [1.2.7] - 2019-09-02 ### Fixed - Added `query` dictionary argument to `SQLTrackerStore` which will be appended to the SQL connection URL as query parameters. ## [1.2.6] - 2019-09-02 ### Fixed - fixed bug that occurred when sending template `elements` through a channel that doesn’t support them ## [1.2.5] - 2019-08-26 ### Added - SSL support for `rasa run` command. Certificate can be specified using `--ssl-certificate` and `--ssl-keyfile`. ### Fixed - `'/restart'` will now also restart the bot if the tracker is paused ## [1.2.4] - 2019-08-23 ### Fixed - the `SocketIO` input channel now allows accesses from other origins (fixes `SocketIO` channel on Rasa X) ## [1.2.3] - 2019-08-15 ### Changed - messages with multiple entities are now handled properly with e2e evaluation. - `data/test_evaluations/end_to_end_story.md` was re-written in the restaurantbot domain. ### Fixed - Free text input was not allowed in the Rasa shell when the response template contained buttons, which has now been fixed. ## [1.2.2] - 2019-08-07 ### Fixed - `UserUttered` events always got the same timestamp. ## [1.2.1] - 2019-08-06 ### Added - Docs now have an `EDIT THIS PAGE` button. ### Fixed - `Flood control exceeded` error in Telegram connector which happened because the webhook was set twice. ## [1.2.0] - 2019-08-01 ### Added - add root route to server started without `--enable-api` parameter. - add `--evaluate-model-directory` to `rasa test core` to evaluate models from `rasa train core -c `. - option to send messages to the user by calling `POST /conversations/{conversation_id}/execute`. ### Changed - `Agent.update_model()` and `Agent.handle_message()` now work without needing to set a domain or a policy ensemble. - Update pytype to `2019.7.11`. - new event broker class: `SQLProducer`. This event broker is now used when running locally with Rasa X. - API requests are not longer logged to `rasa_core.log` by default in order to avoid problems when running on OpenShift (use `--log-file rasa_core.log` to retain the old behavior). - `metadata` attribute added to `UserMessage`. ### Fixed - `rasa test core` can handle compressed model files. - Rasa can handle story files containing multi line comments. - Template will retain { if escaped with {. e.g. {{“foo”: {bar}}} will result in {“foo”: “replaced value”}. ## [1.1.8] - 2019-07-25 ### Added - `TrainingFileImporter` interface to support customizing the process of loading training data. - fill slots for custom templates. ### Changed - `Agent.update_model()` and `Agent.handle_message()` now work without needing to set a domain or a policy ensemble. - update pytype to `2019.7.11`. ### Fixed - interactive learning bug where reverted user utterances were dumped to training data. - added timeout to terminal input channel to avoid freezing input in case of server errors. - fill slots for image, buttons, quick_replies and attachments in templates. - `rasa train core` in comparison mode stores the model files compressed (`tar.gz` files). - slot setting in interactive learning with the TwoStageFallbackPolicy. ## [1.1.7] - 2019-07-18 ### Added - added optional pymongo dependencies `[tls, srv]` to `requirements.txt` for better mongodb support. - `case_sensitive` option added to `WhiteSpaceTokenizer` with `true` as default. ### Fixed - validation no longer throws an error during interactive learning. - fixed wrong cleaning of `use_entities` in case it was a list and not `True`. - updated the server endpoint `/model/parse` to handle also messages with the intent prefix. - fixed bug where “No model found” message appeared after successfully running the bot. - debug logs now print to `rasa_core.log` when running `rasa x -vv` or `rasa run -vv`. ## [1.1.6] - 2019-07-12 ### Added - rest channel supports setting a message’s input_channel through a field `input_channel` in the request body. ### Changed - recommended syntax for empty `use_entities` and `ignore_entities` in the domain file has been updated from `False` or `None` to an empty list (`[]`). ### Fixed - `rasa run` without `--enable-api` does not require a local model anymore. - using `rasa run` with `--enable-api` to run a server now prints “running Rasa server” instead of “running Rasa Core server”. - actions, intents, and utterances created in `rasa interactive` can no longer be empty. ## [1.1.5] - 2019-07-10 ### Added - debug logging now tells you which tracker store is connected. - the response of `/model/train` now includes a response header for the trained model filename. - `Validator` class to help developing by checking if the files have any errors. - project’s code is now linted using flake8. - `info` log when credentials were provided for multiple channels and channel in `--connector` argument was specified at the same time. - validate export paths in interactive learning. ### Changed - deprecate `rasa.core.agent.handle_channels(...)`. Please use `rasa.run(...)` or `rasa.core.run.configure_app` instead. - `Agent.load()` also accepts `tar.gz` model file. ### Removed - revert the stripping of trailing slashes in endpoint URLs since this can lead to problems in case the trailing slash is actually wanted. - starter packs were removed from Github and are therefore no longer tested by Travis script. ### Fixed - all temporal model files are now deleted after stopping the Rasa server. - `rasa shell nlu` now outputs unicode characters instead of `\uxxxx` codes. - fixed PUT /model with model_server by deserializing the model_server to EndpointConfig. - `x in AnySlotDict` is now `True` for any `x`, which fixes empty slot warnings in interactive learning. - `rasa train` now also includes NLU files in other formats than the Rasa format. - `rasa train core` no longer crashes without a `--domain` arg. - `rasa interactive` now looks for endpoints in `endpoints.yml` if no `--endpoints` arg is passed. - custom files, e.g. custom components and channels, load correctly when using the command line interface. - `MappingPolicy` now works correctly when used as part of a PolicyEnsemble. ## [1.1.4] - 2019-06-18 ### Added - unfeaturize single entities. - added agent readiness check to the `/status` resource. ### Changed - removed leading underscore from name of ‘_create_initial_project’ function. ### Fixed - fixed bug where facebook quick replies were not rendering. - take FB quick reply payload rather than text as input. - fixed bug where training_data path in metadata.json was an absolute path. ## [1.1.3] - 2019-06-14 ### Fixed - fixed any inconsistent type annotations in code and some bugs revealed by type checker. ## [1.1.2] - 2019-06-13 ### Fixed - fixed duplicate events appearing in tracker when using a PostgreSQL tracker store. ## [1.1.1] - 2019-06-13 ### Fixed - fixed compatibility with Rasa SDK. - bot responses can contain `custom` messages besides other message types. ## [1.1.0] - 2019-06-13 ### Added - nlu configs can now be directly compared for performance on a dataset in `rasa test nlu`. ### Changed - update the tracker in interactive learning through reverting and appending events instead of replacing the tracker. - `POST /conversations/{conversation_id}/tracker/events` supports a list of events. ### Fixed - fixed creation of `RasaNLUHttpInterpreter`. - form actions are included in domain warnings. - default actions, which are overridden by custom actions and are listed in the domain are excluded from domain warnings. - SQL `data` column type to `Text` for compatibility with MySQL. - non-featurizer training parameters don’t break SklearnPolicy anymore. ## [1.0.9] - 2019-06-10 ### Changed - revert PR #3739 (as this is a breaking change): set `PikaProducer` and `KafkaProducer` default queues back to `rasa_core_events`. ## [1.0.8] - 2019-06-10 ### Added - support for specifying full database urls in the `SQLTrackerStore` configuration. - maximum number of predictions can be set via the environment variable `MAX_NUMBER_OF_PREDICTIONS` (default is 10). ### Changed - default `PikaProducer` and `KafkaProducer` queues to `rasa_production_events`. - exclude unfeaturized slots from domain warnings. ### Fixed - loading of additional training data with the `SkillSelector`. - strip trailing slashes in endpoint URLs. ## [1.0.7] - 2019-06-06 ### Added - added argument `--rasa-x-port` to specify the port of Rasa X when running Rasa X locally via `rasa x`. ### Fixed - slack notifications from bots correctly render text. - fixed usage of `--log-file` argument for `rasa run` and `rasa shell`. - check if correct tracker store is configured in local mode. ## [1.0.6] - 2019-06-03 ### Fixed - fixed backwards incompatible utils changes. ## [1.0.5] - 2019-06-03 ### Fixed - fixed spacy being a required dependency (regression). ## [1.0.4] - 2019-06-03 ### Added - automatic creation of index on the `sender_id` column when using an SQL tracker store. If you have existing data and you are running into performance issues, please make sure to add an index manually using `CREATE INDEX event_idx_sender_id ON events (sender_id);`. ### Changed - NLU evaluation in cross-validation mode now also provides intent/entity reports, confusion matrix, etc. ## [1.0.3] - 2019-05-30 ### Fixed - non-ascii characters render correctly in stories generated from interactive learning. - validate domain file before usage, e.g. print proper error messages if the domain file is invalid instead of raising errors. ## [1.0.2] - 2019-05-29 ### Added - added `domain_warnings()` method to `Domain` which returns a dict containing the diff between supplied {actions, intents, entities, slots} and what’s contained in the domain. ### Fixed - fix lookup table files failed to load issues/3622. - buttons can now be properly selected during cmdline chat or when in interactive learning. - set slots correctly when events are added through the API. - mapping policy no longer ignores NLU threshold. - mapping policy priority is correctly persisted. ## [1.0.1] - 2019-05-21 ### Fixed - updated installation command in docs for Rasa X. ## [1.0.0] - 2019-05-21 ### Added - added arguments to set the file paths for interactive training. - added quick reply representation for command-line output. - added option to specify custom button type for Facebook buttons. - added tracker store persisting trackers into a SQL database (`SQLTrackerStore`). - added rasa command line interface and API. - Rasa HTTP training endpoint at `POST /jobs`. This endpoint will train a combined Rasa Core and NLU model. - `ReminderCancelled(action_name)` event to cancel given action_name reminder for current user. - Rasa HTTP intent evaluation endpoint at `POST /intentEvaluation`. This endpoint performs an intent evaluation of a Rasa model. - option to create template for new utterance action in `interactive learning`. - you can now choose actions previously created in the same session in `interactive learning`. - add formatter ‘black’. - channel-specific utterances via the `- "channel":` key in utterance templates. - arbitrary json messages via the `- "custom":` key in utterance templates and via `utter_custom_json()` method in custom actions. - support to load sub skills (domain, stories, nlu data). - support to select which sub skills to load through `import` section in `config.yml`. - support for spaCy 2.1. - a model for an agent can now also be loaded from remote storage. - log level can be set via environment variable `LOG_LEVEL`. - add `--store-uncompressed` to train command to not compress Rasa model. - log level of libraries, such as tensorflow, can be set via environment variable `LOG_LEVEL_LIBRARIES`. - if no spaCy model is linked upon building a spaCy pipeline, an appropriate error message is now raised with instructions for linking one. ### Changed - renamed all CLI parameters containing any `_` to use dashes `-` instead (GNU standard). - renamed `rasa_core` package to `rasa.core`. - for interactive learning only include manually annotated and ner_crf entities in nlu export. - made `message_id` an additional argument to `interpreter.parse`. - changed removing punctuation logic in `WhitespaceTokenizer`. - `training_processes` in the Rasa NLU data router have been renamed to `worker_processes`. - created a common utils package `rasa.utils` for nlu and core, common methods like `read_yaml` moved there. - removed `--num_threads` from run command (server will be asynchronous but running in a single thread). - the `_check_token()` method in `RasaChat` now authenticates against `/auth/verify` instead of `/user`. - removed `--pre_load` from run command (Rasa NLU server will just have a maximum of one model and that model will be loaded by default). - changed file format of a stored trained model from the Rasa NLU server to `tar.gz`. - train command uses fallback config if an invalid config is given. - test command now compares multiple models if a list of model files is provided for the argument `--model`. - Merged rasa.core and rasa.nlu server into a single server. See swagger file in `docs/_static/spec/server.yaml` for available endpoints. - `utter_custom_message()` method in rasa_core_sdk has been renamed to `utter_elements()`. - updated dependencies. as part of this, models for spacy need to be reinstalled for 2.1 (from 2.0). - make sure all command line arguments for `rasa test` and `rasa interactive` are actually used, removed arguments that were not used at all (e.g. `--core` for `rasa test`). ### Removed - removed possibility to execute `python -m rasa_core.train` etc. (e.g. scripts in `rasa.core` and `rasa.nlu`). Use the CLI for rasa instead, e.g. `rasa train core`. - removed `_sklearn_numpy_warning_fix` from the `SklearnIntentClassifier`. - removed `Dispatcher` class from core. - removed projects: the Rasa NLU server now has a maximum of one model at a time loaded. ### Fixed - evaluating core stories with two stage fallback gave an error, trying to handle None for a policy. - the `/evaluate` route for the Rasa NLU server now runs evaluation in a parallel process, which prevents the currently loaded model unloading. - added missing implementation of the `keys()` function for the Redis Tracker Store. - in interactive learning: only updates entity values if user changes annotation. - log options from the command line interface are applied (they overwrite the environment variable). - all message arguments (kwargs in dispatcher.utter methods, as well as template args) are now sent through to output channels. - utterance templates defined in actions are checked for existence upon training a new agent, and a warning is thrown before training if one is missing.