How to Fix AWS Lambda Python Build Error

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If you’re trying to build an AWS Lambda function with Python and running into errors related to dependencies, specifically pandas, here’s a simple way to fix it.

First, check your requirements.txt file. It should specify exact versions of libraries you need. For pandas, instead of just writing pandas, try specifying a stable version. For example:

pandas==1.5.3
python-dotenv
boto3
requests

Replace the pandas line with a specific version number, like pandas==1.5.3. You can find a compatible version on pandas’ official page or PyPI. Avoid using ambiguous or unstable versions like pandas==2.3.3.

Next, when deploying your Lambda function with AWS SAM, make sure you’re installing dependencies properly. Run this command in your project folder:

bash
pip install -r requirements.txt -t package/

This command installs all dependencies into a folder named package. Then, copy your source files into this folder. This way, SAM will include all necessary libraries during deployment.

Afterwards, use the SAM CLI to build your project:

bash
sam build

This process will package your code and dependencies correctly. If there are still errors during build, double-check that all dependency versions are supported and compatible with Python 3.11.

Finally, update your template.yaml if needed. Your Runtime and Architectures look fine. Just ensure that when you deploy, you’re using the right build context and dependencies included.

By specifying exact versions in your requirements.txt and installing dependencies correctly before building, you should be able to resolve the pandas-related error and successfully deploy your Lambda function.