Asyncio Concurrent Task Scheduler Implementation in Python
11. Asyncio Concurrent Task Scheduler
Write a Python program that builds a concurrent task scheduler using asyncio.
The problem involves building a concurrent task scheduler using Python's "asyncio" library, which facilitates the execution of multiple tasks asynchronously. This scheduler should efficiently manage and execute tasks without blocking the main thread, allowing for improved performance and responsiveness. The solution should include task creation, scheduling, and execution, leveraging "asyncio's" event loop and coroutine functionalities to handle tasks concurrently. This approach is particularly useful for I/O-bound operations where tasks spend a significant amount of time waiting for external resources
Sample Solution:
Python Code :
Output:
Task A started, will take 2 seconds. Task B started, will take 3 seconds. Task C started, will take 1 seconds. Task C finished. Task A finished. Task B finished.
Explanation:
- Imports:
- asyncio: A library for writing concurrent code using the async/await syntax.
- nest_asyncio: A library that allows nested use of asyncio event loops, which is useful in interactive environments like Jupyter Notebooks or certain IDEs.
- Applying nest_asyncio:
- nest_asyncio.apply(): This function call modifies the event loop policy to allow nested event loops, preventing a "RuntimeError" when calling asyncio.run() in environments that already have a running event loop.
- TaskScheduler Class:
- Initialization (__init__): Creates an empty list "self.tasks" to store scheduled tasks.
- Scheduling Tasks (schedule): Adds a coroutine (async function) and its arguments to the "self.tasks" list.
- Running Tasks (run): Uses "asyncio.gather" to run all tasks stored in "self.tasks" concurrently.
- Example Task Coroutine (example_task):
- A sample async function that simulates a task by printing a start message, sleeping for a specified duration using "asyncio.sleep", and then printing a finish message.
- Main Coroutine (main):
- Creates an instance of 'TaskScheduler'.
- Schedules three tasks (example_task) with different durations.
- Runs all scheduled tasks concurrently by calling scheduler.run().
- Running the main function:
- asyncio.run(main()): Starts the asyncio event loop and runs the 'main' coroutine.
For more Practice: Solve these Related Problems:
- Write a Python program to build a concurrent task scheduler using asyncio that runs periodic tasks concurrently.
- Write a Python program to implement an asyncio-based scheduler that supports dynamic task addition and cancellation.
- Write a Python program to create an asyncio scheduler that manages tasks with varying priorities and logs their completion times.
- Write a Python program to develop a task scheduler using asyncio that monitors task execution and handles exceptions gracefully.
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