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 combinations for Python 3.8:

Set 1:

  • googlemaps = "*"
  • requests = "*"
  • responses = "*"
  • urllib3 = "1.26.6"

Set 2:

  • openai = "*"
  • pydantic = "1.10.12"
  • requests = "2.28.2"

Issue: Error While Importing Pandas

Importing pandas can sometimes lead to errors in AWS Lambda. Fortunately, AWS provides a solution in the form of layers. Simply navigate to "Add a layer" => "AWS layers" => choose from the dropdown menu. There, you'll find a layer for pandas for your lambda's Python version.

For your convenience, you can explore a variety of useful layers on GitHub, such as Keith Rozario's Klayers repository, offering layers tailored for different Python versions.

With these solutions and recommended package versions at your disposal, you can navigate import module errors with confidence and keep your AWS Lambda functions running smoothly.

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