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Learning Concurrency in Python

You're reading from   Learning Concurrency in Python Build highly efficient, robust, and concurrent applications

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781787285378
Length 360 pages
Edition 1st Edition
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Concepts
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Author (1):
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Elliot Forbes Elliot Forbes
Author Profile Icon Elliot Forbes
Elliot Forbes
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Table of Contents (13) Chapters Close

Preface 1. Speed It Up! FREE CHAPTER 2. Parallelize It 3. Life of a Thread 4. Synchronization between Threads 5. Communication between Threads 6. Debug and Benchmark 7. Executors and Pools 8. Multiprocessing 9. Event-Driven Programming 10. Reactive Programming 11. Using the GPU 12. Choosing a Solution

Debugging asyncio programs


Thankfully, when it comes to debugging asyncio-based applications, we have a couple of options to consider. The writers of the asyncio module have very kindly provided a debug mode, which is quite powerful and can really aid us in our debugging adventures without the overhead of modifying the system's code base too dramatically.

Debug mode

Turning on this debug mode within your asyncio-based programs is relatively simply and requires just a call to this function:

loop.set_debug(True)

Let's take a look at a fully fledged example of this and how it differs from your standard logging. In this example, we'll create a very simple event loop and submit some simple tasks to the event loop:

import asyncio
import logging
import time

logging.basicConfig(level=logging.DEBUG)

async def myWorker():
logging.info("My Worker Coroutine Hit")
time.sleep(1)

async def main():
logging.debug("My Main Function Hit")
await asyncio.wait([myWorker()])

loop = asyncio.get_event_loop()
loop...
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