Tracker Stores

All conversations are stored within a tracker store. Rasa Open Source 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.

Contents

• Tracker Stores

• InMemoryTrackerStore (default)

• SQLTrackerStore

• RedisTrackerStore

• MongoTrackerStore

• DynamoTrackerStore

• Custom Tracker Store

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 the Rasa server.

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 Open Source with SQL the following steps are required:

1. Add required configuration to your endpoints.yml:

   tracker_store:
       type: SQL
       dialect: "postgresql"  # the dialect used to interact with the db
       url: ""  # (optional) host of the sql db, e.g. "localhost"
       db: "rasa"  # 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

2. To start the Rasa server using your SQL backend, add the --endpoints flag:

   rasa run -m models --endpoints endpoints.yml

3. If deploying your model in Docker Compose, add the service to your docker-compose.yml:

   postgres:
     image: postgres:latest

To route requests to the new service, make sure that the url in your endpoints.yml references the service name:

  tracker_store:
      type: SQL
      dialect: "postgresql"
      url: "postgres"
      db: "rasa"
      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

Parameters

• domain (default: None): Domain object associated with this tracker store
• dialect (default: sqlite): The dialect used to communicate with your SQL backend.
• url (default: None): URL of your SQL server
• port (default: None): Port of your SQL server
• db (default: rasa.db): The path to the database to be used
• username (default: None): The username which is used for authentication
• password (default: None): The password which is used for authentication
• event_broker (default: None): Event broker to publish events to
• login_db (default: None): Alternative database name to which initially connect, and create the database specified by db (PostgreSQL only)
• query (default: None): Dictionary of options to be passed to the dialect and/or the DBAPI upon connect

Officially Compatible Databases

• PostgreSQL
• Oracle > 11.0
• SQLite

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 Open Source with Redis:

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`>

3. To start the Rasa server using your configured Redis instance, add the --endpoints flag:

   rasa run -m models --endpoints endpoints.yml

4. If deploying your model in Docker Compose, add the service to your docker-compose.yml:

   redis:
     image: redis:latest

To route requests to the new service, ensure that the url in your endpoints.yml references the service name:

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`>

Parameters

• url (default: localhost): The url of your redis instance
• port (default: 6379): The port which redis is running on
• db (default: 0): The number of your redis database
• password (default: None): Password used for authentication ("None" equals no authentication)
• record_exp (default: None): Record expiry in seconds
• use_ssl (default: False): whether or not to use SSL for transit encryption

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>

3. To start the Rasa server using your configured MongoDB instance, add the --endpoints flag:

   rasa run -m models --endpoints endpoints.yml

4. If deploying your model in Docker Compose, add the service to your docker-compose.yml:

   mongo:
     image: mongo
     environment:
       MONGO_INITDB_ROOT_USERNAME: rasa
       MONGO_INITDB_ROOT_PASSWORD: example
   mongo-express:  # this service is a MongoDB UI, and is optional
     image: mongo-express
     ports:
       - 8081:8081
     environment:
       ME_CONFIG_MONGODB_ADMINUSERNAME: rasa
       ME_CONFIG_MONGODB_ADMINPASSWORD: example

To route requests to this database, ensure that the url in your endpoints.yml as the service name:

   tracker_store:
       type: mongod
       url: mongodb://mongo: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>

Parameters

• url (default: mongodb://localhost:27017): URL of your MongoDB
• db (default: rasa): The database name which should be used
• username (default: 0): The username which is used for authentication
• password (default: None): The password which is used for authentication
• auth_source (default: admin): database name associated with the user’s credentials.
• collection (default: conversations): The collection name which is used to store the conversations

DynamoTrackerStore

Description
DynamoTrackerStore can be used to store the conversation history in DynamoDB. DynamoDB is a hosted NoSQL database offered by Amazon Web Services (AWS).

Configuration

1. Start your DynamoDB instance.

2. Add required configuration to your endpoints.yml:

   tracker_store:
       type: dynamo
       tablename: <name of the table to create, e.g. rasa>
       region: <name of the region associated with the client>

3. To start the Rasa server using your configured DynamoDB instance, add the --endpoints flag:

   rasa run -m models --endpoints endpoints.yml

Parameters

• tablename (default: states): name of the DynamoDB table
• region (default: us-east-1): name of the region associated with the client

Custom Tracker Store

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

Class
rasa.core.tracker_store.TrackerStore(domain, event_broker=None, retrieve_events_from_previous_conversation_sessions=False)

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
   

3. If you are deploying in Docker Compose, you have two options to add this store to Rasa Open Source:

   • extending the Rasa image to include the module
   • mounting the module as volume

Make sure to add the corresponding service as well. For example, mounting it as a volume would look like:

rasa:
  <existing rasa service configuration>
  volumes:
    - <existing volume mappings, if there are any>
    - ./path/to/your/module.py:/app/path/to/your/module.py
custom-tracker-store:
  image: custom-image:tag

endpoints.yml:

tracker_store:
  type: path.to.your.module.Class
  url: custom-tracker-store
  a_parameter: a value
  another_parameter: another value

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