Sling Academy
Home/Python/Fixing aiohttp RuntimeError: No Current Event Loop in Python

Fixing aiohttp RuntimeError: No Current Event Loop in Python

Last updated: January 02, 2024

Introduction

When using the asyncio library in Python along with aiohttp, it’s common to encounter the RuntimeError stating ‘There is no current event loop in thread’. This error is a result of attempting to get the default event loop when none is set for the current thread. In Python’s asyncio ecosystem, event loops are the core of the asynchronous operations, but they need to be managed properly to work across different threads and during various phases of an application’s lifecycle. This guide offers multiple solutions to resolve this error.

Contextualize and Instantiate Event Loop

Manually creating and setting an event loop can prevent the ‘No current event loop’ error by ensuring that the thread in which asyncio’s operations are called always has a loop to refer to.

Steps to get through te bug:

  1. Import the necessary asyncio module.
  2. Create a new event loop.
  3. Set the new event loop as the current loop for the current thread.
  4. Perform your async operations.
  5. Close the loop once your operations are done.

A small example:

import asyncio

async def main():
 # Your asynchronous code here
 pass

def run():
 loop = asyncio.new_event_loop()
 asyncio.set_event_loop(loop)
 loop.run_until_complete(main())
 loop.close()

run()

Advantages: Gives full control over the event loop’s lifecycle.

Limitations:

  • Increases the complexity of your code.
  • Needs to be managed very carefully to avoid resource leaks.

Using asyncio.run()

Python 3.7 introduced the asyncio.run() function, which simplifies running async routines by managing the event loop. It creates a new event loop and closes it after the async tasks are complete.

Below are what we’re going to do:

  1. Ensure you are running Python 3.7 or higher.
  2. Define your async function.
  3. Use asyncio.run() to run your function.

Example:

import asyncio

async def main():
 # Your asynchronous code here
 pass

asyncio.run(main())

Advantages:

  • Less boilerplate code.
  • Automatic handling of event loop initialization and closure.

Limitations:

  • Only works in Python 3.7 and above.
  • Cannot be called when another asyncio event loop is running.

Set Event Loop Policy

In some scenarios, you might encounter this error due to an event loop policy that isn’t suitable for your environment, especially on Windows where the default event loop policy might cause problems. Setting it to WindowsSelectorEventLoopPolicy can fix the no current event loop error.

Steps to implement the fix:

  1. Import asyncio and, if on Windows, the WindowsSelectorEventLoopPolicy from asyncio.
  2. Set the new event loop policy for the current process.

Complete Code Example:

import asyncio
import sys

if sys.platform == 'win32':
 from asyncio import WindowsSelectorEventLoopPolicy
 asyncio.set_event_loop_policy(WindowsSelectorEventLoopPolicy())

# You can now use asyncio's event loop related functions.

Advantages:

  • Can be set system-wide once.
  • Can eliminate compatibility issues on Windows.

Limitations:

  • Affects the entire process.
  • Primarily relevant to Windows systems.

Next Article: Python Requests Module: Exception Handling Best Practices

Previous Article: Python & aiohttp: How to create a simple web server

Series: Python: Network & JSON tutorials

Python

You May Also Like

  • Advanced DOM Interactions: XPath and CSS Selectors in Playwright (Python)
  • Automating Strategy Updates and Version Control in freqtrade
  • Setting Up a freqtrade Dashboard for Real-Time Monitoring
  • Deploying freqtrade on a Cloud Server or Docker Environment
  • Optimizing Strategy Parameters with freqtrade’s Hyperopt
  • Risk Management: Setting Stop Loss, Trailing Stops, and ROI in freqtrade
  • Integrating freqtrade with TA-Lib and pandas-ta Indicators
  • Handling Multiple Pairs and Portfolios with freqtrade
  • Using freqtrade’s Backtesting and Hyperopt Modules
  • Developing Custom Trading Strategies for freqtrade
  • Debugging Common freqtrade Errors: Exchange Connectivity and More
  • Configuring freqtrade Bot Settings and Strategy Parameters
  • Installing freqtrade for Automated Crypto Trading in Python
  • Scaling cryptofeed for High-Frequency Trading Environments
  • Building a Real-Time Market Dashboard Using cryptofeed in Python
  • Customizing cryptofeed Callbacks for Advanced Market Insights
  • Integrating cryptofeed into Automated Trading Bots
  • Monitoring Order Book Imbalances for Trading Signals via cryptofeed
  • Detecting Arbitrage Opportunities Across Exchanges with cryptofeed