[![JetBrains Research](https://jb.gg/badges/research.svg)](https://confluence.jetbrains.com/display/ALL/JetBrains+on+GitHub) # Controls.kt Controls.kt (former DataForge-control) is a data acquisition framework (work in progress). It is based on DataForge, a software framework for automated data processing. This repository contains a prototype of API and simple implementation of a slow control system, including a demo. Controls.kt uses some concepts and modules of DataForge, such as `Meta` (tree-like value structure). To learn more about DataForge, please consult the following URLs: * [Kotlin multiplatform implementation of DataForge](https://github.com/mipt-npm/dataforge-core) * [DataForge documentation](http://npm.mipt.ru/dataforge/) * [Original implementation of DataForge](https://bitbucket.org/Altavir/dataforge/src/default/) DataForge-control is a [Kotlin-multiplatform](https://kotlinlang.org/docs/reference/multiplatform.html) application. Asynchronous operations are implemented with [kotlinx.coroutines](https://github.com/Kotlin/kotlinx.coroutines) library. ## Materials and publications * Video - [A general overview seminar](https://youtu.be/LO-qjWgXMWc) * Video - [A seminar about the system mechanics](https://youtu.be/wES0RV5GpoQ) * Article - [A Novel Solution for Controlling Hardware Components of Accelerators and Beamlines](https://www.preprints.org/manuscript/202108.0336/v1) ### Features Among other things, you can: - Describe devices and their properties. - Collect data from devices and execute arbitrary actions supported by a device. - Property values can be cached in the system and requested from devices as needed, asynchronously. - Connect devices to event bus via bidirectional message flows. Example view of a demo: ![](docs/pictures/demo-view.png) ## Modules ${modules} ### `demo` module The demo includes a simple mock device with a few properties changing as `sin` and `cos` of the current time. The device is configurable via a simple TornadoFX-based control panel. You can run a demo by executing `application/run` Gradle task. The graphs are displayed using [plotly.kt](https://github.com/mipt-npm/plotly.kt) library.