Yet another deploy tool for AWS Lambda in the virtualenv environment.
Yet another deploy tool for AWS Lambda in the virtualenv.
pip install lamvery
And put your lamvery.yml like this.
configuration: name: sample_lambda_function runtime: python2.7 role: arn:aws:iam::000000000000:role/lambda_basic_execution handler: lambda_function.lambda_handler description: This is sample lambda function. timeout: 10 memory_size: 128 publish: true
- Archive your code and libraries to <your-function-name>.zip
- Archive and deploy your code and libraries
- -f or --file
The name of your function.
The Amazon Resource Name (ARN) of the IAM role for your function.
The function within your code that Lambda calls to begin execution.
The description of your function.
The function execution time(seconds) at which Lambda should terminate the function.
The amount of memory for your function environment.
This boolean parameter can be used to request AWS Lambda to create/update the Lambda function and publish a version as an atomic operation.
Pull requests are very welcome! Make sure your patches are well tested. Ideally create a topic branch for every separate change you make. For example:
- Fork the repo
- Create your feature branch (git checkout -b my-new-feature)
- Commit your changes (git commit -am 'Added some feature')
- Push to the branch (git push origin my-new-feature)
- Create new Pull Request
MIT License (see LICENSE)
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