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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...

Enable TTL on a Dynamodb Table in an Amplify project

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TTL Feature DynamoDB TTL (Time to Live) is a feature provided by Amazon Web Services (AWS) for its DynamoDB database service. It allows you to define a time period after which items in a DynamoDB table will expire and be automatically deleted. This feature is particularly useful for managing data that has a finite lifespan. How it works Attribute for Expiry : You specify a TTL attribute from your DynamoDB table. This attribute must contain a timestamp that represents the expiration time for each item in the table. Automatic Deletion : DynamoDB automatically deletes an item from the table at its expiration time specified in the TTL attribute . This deletion process is handled by DynamoDB itself, so you don't need to write any code to manage the deletion of expired items. Efficient Cleanup : DynamoDB continuously scans the table for expired items and removes them in the background. This ensures that your table stays optimized and doesn't become cluttered with expired data.  H...