Update a Lambda function configuration with CodeBuild Lambda Python - Amazon CodeBuild
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Update a Lambda function configuration with CodeBuild Lambda Python

The following Python sample uses Boto3 and CodeBuild Lambda Python to update a Lambda function’s configuration. This sample can be extended to manage other Amazon resources programmatically. For more information, see Boto3 documentation.


Create or find a Lambda function in your account.

This sample assumes that you have already created a Lambda function in your account and will use CodeBuild to update the Lambda function’s environment variables. For more information on setting up a Lambda function through CodeBuild, see the Deploy a Lambda function using Amazon SAM with CodeBuild Lambda Java sample or visit Amazon Lambda.

Set up your source repository

Create a source repository to store your Boto3 python script.

To set up the source repository
  1. Copy the following python script to a new file called update_lambda_environment_variables.py.

    import boto3 from os import environ def update_lambda_env_variable(lambda_client): lambda_function_name = environ['LAMBDA_FUNC_NAME'] lambda_env_variable = environ['LAMBDA_ENV_VARIABLE'] lambda_env_variable_value = environ['LAMBDA_ENV_VARIABLE_VALUE'] print("Updating lambda function " + lambda_function_name + " environment variable " + lambda_env_variable + " to " + lambda_env_variable_value) lambda_client.update_function_configuration( FunctionName=lambda_function_name, Environment={ 'Variables': { lambda_env_variable: lambda_env_variable_value } }, ) if __name__ == "__main__": region = environ['AWS_REGION'] client = boto3.client('lambda', region) update_lambda_env_variable(client)
  2. Upload the python file to a supported source repository. For a list of supported source types, see ProjectSource.

Create a CodeBuild Lambda Python project

Create a CodeBuild Lambda Python project.

To create your CodeBuild Lambda Java project
  1. Open the Amazon CodeBuild console at https://console.amazonaws.cn/codesuite/codebuild/home.

  2. If a CodeBuild information page is displayed, choose Create build project. Otherwise, on the navigation pane, expand Build, choose Build projects, and then choose Create build project.

  3. In Project name, enter a name for this build project. Build project names must be unique across each Amazon account. You can also include an optional description of the build project to help other users understand what this project is used for.

  4. In Source, select the source repository where your Amazon SAM project is located.

  5. In Environment:

    • For Compute, select Lambda.

    • For Runtime(s), select Python.

    • For Image, select aws/codebuild/amazonlinux-x86_64-lambda-standard:python3.12.

    • For Service role, leave New service role selected. Make a note of the Role name. This will be required when you update the project’s IAM permissions later in this sample.

  6. Choose Create build project.

  7. Open the IAM console at https://console.aws.amazon.com/iam/.

  8. In the navigation pane, choose Roles and select the service role associated with your project. You can find your project role in CodeBuild by selecting your build project, choosing Edit, Environment, and then Service role.

  9. Choose the Trust relationships tab, and then choose Edit trust policy.

  10. Add the following inline policy to your IAM role. This will be used to deploy your Amazon SAM infrastructure later on. For more information, see Adding and removing IAM identity permissions in the IAM User Guide.

    { "Version": "2012-10-17", "Statement": [ { "Sid": "UpdateLambdaPermissions", "Effect": "Allow", "Action": [ "lambda:UpdateFunctionConfiguration" ], "Resource": [ "*" ] } ] }

Set up the project buildspec

In order to update the Lambda function, the script reads environment variables from the buildspec to find the Lambda function’s name, environment variable name, and environment variable value.

To set up your project buildspec
  1. In the CodeBuild console, select your build project, then choose Edit and Buildspec.

  2. In Buildspec, choose Insert build commands and then Switch to editor.

  3. Delete the pre-filled build commands and paste in the following buildspec.

    version: 0.2 env: variables: LAMBDA_FUNC_NAME: "<lambda-function-name>" LAMBDA_ENV_VARIABLE: "FEATURE_ENABLED" LAMBDA_ENV_VARIABLE_VALUE: "true" phases: install: commands: - pip3 install boto3 build: commands: - python3 update_lambda_environment_variables.py
  4. Choose Update buildspec.

Update your Lambda configuration

Use CodeBuild Lambda Python to automatically update your Lambda function’s configuration.

To update your Lambda function’s configuration
  1. Choose Start build.

  2. Once the build has finished, navigate to your Lambda function.

  3. Select Configuration and then Environment variables. You should see a new environment variable with key FEATURE_ENABLED and value true.

Clean up your infrastructure

To avoid further charges for resources you used during this tutorial, delete the resources created for your CodeBuild project.

To clean up your infrastructure
  1. Navigate to the CloudWatch console and delete the CloudWatch log groups associated with your CodeBuild project.

  2. Navigate to the CodeBuild console and delete your CodeBuild project by choosing Delete build project.

  3. If you created a Lambda function for the purpose of this sample, choose Actions and Delete function to clean up your Lambda function.


If you want to extend this sample to manage other Amazon resources using Amazon CodeBuild Lambda Python:

  • Update the Python script to modify the new resources using Boto3.

  • Update the IAM role associated with your CodeBuild project to have permissions for the new resources.

  • Add any new environment variables associated with the new resources to your buildspec.