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The dojo stack is made up of multiple services that work together to provide full functionality.
Primary Stack Services
API - FastAPI service that handles the majority of the data storage, and CRUD endpoints. Python-based server.
ElasticSearch - Primary datastore for the the project
Redis - Used as queuing back-end for RQ which is performs data-manipulation jobs in the background, also used to cache lock and connection data for the Terminal service
Terminal - (Formerly Clouseau/Claudine) Provides a SSH-like connection to the interior of a docker container that is configured to run a model. This is done by actually running the model, then annotating the parameters, configurations, outputs, and accessory (media) files.
UI - Web Application where users can perform most operations. Alternatively can use the API only
RQ Worker - Redis Queue Worker that takes queued tasks from redis and performs certain async operations, then stores the result for the UI or API to consume (async)
Airflow - Runs Models from container after having registered a given model.