<aside> đ§âđ» This documentation is part of the Technical Kick-start Collection. If youâre a developer interested in contributing to Thea, or just looking to understand how Thea works on a deeper level, then Iâd highly recommend reading through this collection.
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Theaâs back end, written in Go, is responsible for essentially every aspect of Thea - in that sense, the front end is functioning as a âthin clientâ, containing no real functionality or logic aside from presentation-logic.
Thea consists of three main layers:
API Translation
The API layer is what is interacted with by incoming requests from clients. This layer itself should not track any state, instead, relying on calling in to core or Thea services to find the relevant state for the response.
Thea Core
The Core layer is the glue-code that handles interaction between multiple different services. This code exists outside of service packages, typically because the code is general and re-usable. Multiple services will often make use of this âcommonâ code.
Services
Finally, the service layer, which underpins all of Theaâs functionality. âServiceâ is a pretty loaded term, so Thea defines some expectations of what services should do:
id
of that data sent to the service via the event bus.Thea services should try to avoid calling in to each other as much as possible. If some logic needs access to data from multiple services, then itâs positioning inside a service should be re-considered; Thea core is likely a better place for it to live.
However, Thea services often needs to be aware of outside changes by way of communication; Theaâs solution to this is a centralized event bus that services can use to both emit and subscribe to events. The events a particular service emits/subscribes to are documented in each service.
Events should not contain data structures, rather opting to use the id
of the data that exists in some persistent data store. If you find yourself needing to share data between two services, then reconsider whether:
id
?Most of the time, needing to share data itself is a sign that your inter-service communication is flawed - typically due to one service doing too much. A good way to detect this is to look out for branching flows in your service code; different behavior depending on the external state is often a sign that the service is trying to handle too many states.