@Stability(value=Experimental)

Package software.amazon.awscdk.services.lambda.python

Amazon Lambda Python Library

See: Description

Interface Summary

Interface	Description
PythonFunctionProps	(experimental) Properties for a PythonFunction.
PythonLayerVersionProps	(experimental) Properties for PythonLayerVersion.

Class Summary

Class	Description
PythonFunction	(experimental) A Python Lambda function.
PythonFunction.Builder	(experimental) A fluent builder for PythonFunction.
PythonFunctionProps.Builder	A builder for PythonFunctionProps
PythonFunctionProps.Jsii$Proxy	An implementation for PythonFunctionProps
PythonLayerVersion	(experimental) A lambda layer version.
PythonLayerVersion.Builder	(experimental) A fluent builder for PythonLayerVersion.
PythonLayerVersionProps.Builder	A builder for PythonLayerVersionProps
PythonLayerVersionProps.Jsii$Proxy	An implementation for PythonLayerVersionProps

Package software.amazon.awscdk.services.lambda.python Description

Amazon Lambda Python Library

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The APIs of higher level constructs in this module are experimental and under active development. They are subject to non-backward compatible changes or removal in any future version. These are not subject to the Semantic Versioning model and breaking changes will be announced in the release notes. This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.

This library provides constructs for Python Lambda functions.

To use this module, you will need to have Docker installed.

Python Function

Define a PythonFunction:

 // Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
 import software.amazon.awscdk.services.lambda.*;
 import software.amazon.awscdk.services.lambda.python.PythonFunction;
 
 new PythonFunction(this, "MyFunction", new PythonFunctionProps()
         .entry("/path/to/my/function")// required
         .index("my_index.py")// optional, defaults to 'index.py'
         .handler("my_exported_func")// optional, defaults to 'handler'
         .runtime(lambda.Runtime.getPYTHON_3_6()));
 

All other properties of lambda.Function are supported, see also the AWS Lambda construct library.

Module Dependencies

If requirements.txt or Pipfile exists at the entry path, the construct will handle installing all required modules in a Lambda compatible Docker container according to the runtime.

Lambda with a requirements.txt

 .
 ├── lambda_function.py # exports a function named 'handler'
 ├── requirements.txt # has to be present at the entry path
 

Lambda with a Pipfile

 .
 ├── lambda_function.py # exports a function named 'handler'
 ├── Pipfile # has to be present at the entry path
 ├── Pipfile.lock # your lock file
 

Lambda with a poetry.lock

 .
 ├── lambda_function.py # exports a function named 'handler'
 ├── pyproject.toml # has to be present at the entry path
 ├── poetry.lock # your poetry lock file
 

Lambda Layer Support

You may create a python-based lambda layer with PythonLayerVersion. If PythonLayerVersion detects a requirements.txt or Pipfile or poetry.lock with the associated pyproject.toml at the entry path, then PythonLayerVersion will include the dependencies inline with your code in the layer.

 // Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
 PythonFunction.Builder.create(this, "MyFunction")
         .entry("/path/to/my/function")
         .layers(asList(
             PythonLayerVersion.Builder.create(this, "MyLayer")
                     .entry("/path/to/my/layer")
                     .build()))
         .build();