Tracker Stores

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viewing: 1.7.1

Tracker Stores

All conversations are stored within a tracker store. Rasa Core provides implementations for different store types out of the box. If you want to use another store, you can also build a custom tracker store by extending the TrackerStore class.

InMemoryTrackerStore (default)

Description
InMemoryTrackerStore is the default tracker store. It is used if no other tracker store is configured. It stores the conversation history in memory.

Note
As this store keeps all history in memory the entire history is lost if you restart Rasa Core.

Configuration
To use the InMemoryTrackerStore no configuration is needed.

SQLTrackerStore

Description
SQLTrackerStore can be used to store the conversation history in an SQL database. Storing your trackers this way allows you to query the event database by sender_id, timestamp, action name, intent name and typename

Configuration
To set up Rasa Core with SQL the following steps are required:

  1. Add required configuration to your endpoints.yml
tracker_store:
    type: SQL
    dialect: "sqlite"  # the dialect used to interact with the db
    url: ""  # (optional) host of the sql db, e.g. "localhost"
    db: "rasa.db"  # path to your db
    username:  # username used for authentication
    password:  # password used for authentication
    query: # optional dictionary to be added as a query string to the connection URL
      driver: my-driver
  1. To start the Rasa Core server using your SQL backend, add the --endpoints flag, e.g.:
rasa run -m models --endpoints endpoints.yml

Parameters

RedisTrackerStore

Description
RedisTrackerStore can be used to store the conversation history in Redis. Redis is a fast in-memory key-value store which can optionally also persist data.

Configuration
To set up Rasa Core with Redis the following steps are required:

  1. Start your Redis instance
  2. Add required configuration to your endpoints.yml
tracker_store:
    type: redis
    url: <url of the redis instance, e.g. localhost>
    port: <port of your redis instance, usually 6379>
    db: <number of your database within redis, e.g. 0>
    password: <password used for authentication>
    use_ssl: <whether or not the communication is encrypted, default `false`>
  1. To start the Rasa Core server using your configured Redis instance, add the --endpoints flag, e.g.:
rasa run -m models --endpoints endpoints.yml

Parameters

MongoTrackerStore

Description
MongoTrackerStore can be used to store the conversation history in Mongo. MongoDB is a free and open-source cross-platform document-oriented NoSQL database.

Configuration

  1. Start your MongoDB instance.
  2. Add required configuration to your endpoints.yml
tracker_store:
    type: mongod
    url: <url to your mongo instance, e.g. mongodb://localhost:27017>
    db: <name of the db within your mongo instance, e.g. rasa>
    username: <username used for authentication>
    password: <password used for authentication>
    auth_source: <database name associated with the user’s credentials>

You can also add more advanced configurations (like enabling ssl) by appending a parameter to the url field, e.g. mongodb://localhost:27017/?ssl=true

  1. To start the Rasa Core server using your configured MongoDB instance, add the --endpoints flag, e.g.:
rasa run -m models --endpoints endpoints.yml

Parameters

Custom Tracker Store

Description If you require a tracker store which is not available out of the box, you can implement your own. This is done by extending the base class TrackerStore.

classrasa.core.tracker_store.``TrackerStore( domain, event_broker=None, retrieve_events_from_previous_conversation_sessions=False)
Class to hold all of the TrackerStore classes

Steps

  1. Extend the TrackerStore base class. Note that your constructor has to provide a parameter url.
  2. In your endpoints.yml put in the module path to your custom tracker store and the parameters you require:
tracker_store:
  type: path.to.your.module.Class
  url: localhost
  a_parameter: a value
  another_parameter: another value