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--- wiki:software:beuthbot:software-architecture [10.12.2019 19:19]
Christopher Lehmann
+++ wiki:software:beuthbot:software-architecture [23.01.2020 15:30] (aktuell)
Timo Bruns [Software Architecture]
@@ Zeile 22: / Zeile 22: @@
 > Bot <=> Gateway <=> Registry <=> Service
-Following diagram shows that in more detail.
+Following diagram shows that in more detail:
-![structure](../assets/structure-without-notes.png)
+<uml>
+abstract class Bot
+class TelegramBot
+class TwitterBot
+Bot <|-- TelegramBot
+Bot <|-- TwitterBot
+class Gateway
+class MetaMetaPersistence
+class MetaPersistence
+package nlp {
+class "rasa-ai"
+class "drools"
+class "Google Cloud Speech API"
+class "Google Cloud Natural Language"
+class "Microsoft Azure Spracherkennungs-API"
+class "Microsoft Azure Textanalyse-API"
+"Google Cloud Speech API" -> "Google Cloud Natural Language"
+"Microsoft Azure Spracherkennungs-API" -> "Microsoft Azure Textanalyse-API"
+}
+Gateway -- nlp
+Bot "1..*" -- Gateway
+Gateway -- MetaMetaPersistence
+class Registry
+Gateway "1" -- "1" Registry
+Registry -- MetaPersistence
+abstract class Service
+class MensaService
+Service <|-- MensaService
+Service <|-- WetterService
+Registry "1" -- "*" Service
+</uml>
 A user can write the //Bot// to request informations, the meaning of the message is extracted and a fitting //Microservice// is choosen to retrieve the necessary data. A response is build from that data and distributed back up to the bot which answers the users request.
-following sequence diagram further illustrates that.
+Following sequence diagram further illustrates that:
-![flow](../assets/flow.png)
+<uml>
+Bot -> Gateway : request
+Gateway -> nlp : request
+Gateway <- nlp : request<message>
+Gateway -> Registry : request<message>
+Registry -> Service : request<message>
+Service -> Registry : response
+Registry -> Gateway : response
+Gateway -> nlp : response (text)
+nlp->Gateway : response (audio)
+Gateway -> Bot : response (text|audio)
+</uml>
 === Bot ===
@@ Zeile 44: / Zeile 97: @@
 The //Bot// notifies the //Gateway// with the message it got from the user.
-The //Gateway// then uses NLP (Natural Language Processing) //Microservices// to get the meaning and intention of the user. Here we try to extract what the user wants from _BeuthBot_, to notify the right service and present a fitting answer to our user.
+The //Gateway// then uses NLP (Natural Language Processing) //Microservices// to get the meaning and intention of the user. Here we try to extract what the user wants from //BeuthBot//, to notify the right service and present a fitting answer to our user.
 === Registry ===
@@ Zeile 64: / Zeile 117: @@
 Following class diagram further illustrates that:
-![flow](../assets/response-request-api.png)
+<uml>
+class Request {
+platform
+userId
+message: Message
+history: Trace
+metadata: KeyValueStore
+answer(): Response
+}
+class Message {
+id: unique
+evaluated: Meaning
+evaluate()
+}
+Request *-- Message
+Response -- Request
+class Response {
+request: Request
+answer
+history: Trace
+}
+class TextMessage {
+content
+}
+class AudioMessage {
+url
+}
+Message <|-- AudioMessage
+Message <|-- TextMessage
+</uml>
+<WRAP pagebreak></WRAP>

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