Process concurrent tasks on data sources
This is an Android Command Based Architecture for processing concurrent tasks (commands) on single or multiple data sources. This library supports the execution and synchronization of different tasks on multiple threads.
Key features in flow control:
- Ability to control if a task should be executed or skipped based on current data (screen) state.
- Ability to control if a task should be executed immediately or delayed based on current data (screen) state.
- Ability to block/postpone other tasks during task execution.
Key features in data change: Each task has its own lifecycle:
- After command was added to the queue -
onCommandWasAdded
- Immediately before command execution -
onExecuteStarting
- Immediately after successful execution -
onExecuteSuccess
- Immediately after failed execution -
onExecuteFail
- Final step of execution (called on any success or fail) -
onExecuteFinished
For coroutine implementation:
implementation 'io.scal:commandbasedarchitecture_coroutine:version'
Please replace version
with the latest version:
For RxJava implementation:
implementation 'io.scal:commandbasedarchitecture_rxjava:version'
Please replace version
with the latest version:
Please find the full description in the post.
Basic Setup:
- Create an instance of CommandManager:
val commandManager: CommandManager<ScreenState> by lazy { CommandManagerImpl(mutableScreenState, viewModelScope) }
- Use an existing or create a custom command (RefreshCommand, LoadNextCommand). a. Implement execution strategy directly in the command (ExecutionStrategy class) b. Implement data side effects during command lifecycle
- Add command to execution queue by calling
commandManager.postCommand(yourCommand)
By default, the CommandManager uses Dispatchers.Main
for execution, so you will need to switch to an appropriate Dispatcher if you require more complex logic.
TBD
Feel free to reach out to me.
Website: https://scal.io
LinkedIn: https://www.linkedin.com/company/scalio/
LinkedIn: https://www.linkedin.com/in/mig35/
Email: mikhail@scal.io
Email: mig35@mig35.com
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