Troubleshooting AWS Lambda: Tackling Import Module Errors in Python Packages
When working with AWS Lambda functions, encountering import module errors can be a frustrating roadblock. In this guide, we'll address some common import module issues and provide solutions to overcome them, along with recommended package versions that work seamlessly together. Issue 1: No module named 'pydantic_core._pydantic_core' If you've encountered this error while using OpenAI in AWS Lambda, fret not. The solution lies in ensuring the correct version of the pydantic package is installed. Simply add pydantic = "1.10.12" to your pipfile or requirements.txt . This combination has been tested to work flawlessly for Python versions up to 3.12. Issue 2: Urllib Error in Python Versions Up to 3.8 Another common stumbling block is the urllib error, particularly in Python versions up to 3.8. To resolve this, include urllib3 = "1.26.6" in your pipfile or requirements.txt . Additionally, to ensure smooth functioning, consider the following package c...