In the Symphony message workflow, messages are represented in the following markup language forms:
MessageML: A tag-based language that is a subset of XHTML. MessageML allows templating in Apache Freemarker.
PresentationML: MessageML translated into the equivalent XHTML tags so it can be rendered and processed by any HTML client.
ExtensionML: PresentationML translated to a special markup for use by a front end app to perform custom rendering of an entity.
The above diagram shows the following:
Your bot uses the Agent API to send messages in MessageML.
The Agent API encrypts the messages, and converts them to PresentationML where they are stored in Symphony's data store.
The Symphony Datafeed delivers messages to end users or to the Desktop Application as PresentationML.
When Bot's retrieve messages via the API, the messages are delivered as PresentationML.
Each message in Symphony has a unique message ID.
To find the message ID:
In the Symphony web or desktop client, click the message timestamp. The Message Status module overlay opens. The message ID is shown in the overlay footer:
When a message is created via the API, a
messageID is returned in the response.
The message ID in the UI is in standard Base64 encoding.
Message IDs returned in API responses are in URL Safe Base64 encoding.
A message ID used in a URL should be in URL Safe Base64 encoding.
To obtain the URL Safe Base64 conversation (stream) ID, replace forward slashes with underscores, replace pluses with minuses, and ignore any trailing equal signs.
URL Safe Base64 encoded StreamID
In the Symphony architecture, messages are stored in each company data store. When messages are sent externally (for example in External rooms), the messages are copied and transferred from one company to the other using the Amazon AWS SQS service At-least-once Delivery mechanism with Amazon AWS SQS. Amazon AWS SQS service ensures high availability through redundancy, with "At-least-once delivery" guarantee. This means that on very rare occasions, a message can be received more than once.
If this occurs, you might receive a second copy of that message. Therefore, Bots designed to work with External rooms (cross pod) should be idempotent: they should not be affected adversely when processing the same message more than once. Continue here to learn about how your bot should handle duplicate messages.