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Task Sequencing and Re-Entrancy
In scenarios where tasks can arrive faster than they are processed and may depend on prior results, sequencing tasks becomes crucial. This challenge is compounded when re-entrancy is required.
Problem Statement
A UI command handler may process commands synchronously or asynchronously. Commands can arrive at a rate that exceeds the processing speed, necessitating queueing and sequential processing. Each new task's result may depend on its predecessor. While cancellation is excluded for simplicity, re-entrancy must be supported.
Initial Approach
In a basic console app, an AsyncOp class manages task sequencing. Each task is treated as a continuation of the previous one, ensuring dependencies are met. However, when re-entrancy is introduced, the logic breaks down.
Synchronized Solution
To address this issue, tasks are constructed manually without scheduling them initially. Instead, "Task.Factory.StartNew" is used to run the tasks synchronously, preventing them from executing until the wrapper task is ready. This ensures that the sequence is maintained.
Code Implementation
class AsyncOp<T> { Task<T> _pending = Task.FromResult(default(T)); public Task<T> CurrentTask => _pending; public Task<T> RunAsync(Func<Task<T>> handler, bool useSynchronizationContext = false) { var pending = _pending; var wrapper = async () => { var prevResult = await pending; Console.WriteLine($"\nprev task result: {prevResult}"); return await handler(); }; var task = new Task<Task<T>>(wrapper); var inner = task.Unwrap(); _pending = inner; task.RunSynchronously(useSynchronizationContext ? TaskScheduler.FromCurrentSynchronizationContext() : TaskScheduler.Current); return inner; } }
Updated Output
Test #1... prev task result: 0 this task arg: 1000 prev task result: 1000 this task arg: 900 prev task result: 900 this task arg: 800 Press any key to continue to test #2... prev task result: 800 this task arg: 100 prev task result: 100 this task arg: 200
Extensions
This approach enables additional improvements such as thread-safety by implementing a lock to protect shared state. Additionally, a cancel/restart logic can be incorporated to handle task disruptions.
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