## AWS Lambda Python Runtime Interface Client
We have open-sourced a set of software packages, Runtime Interface Clients (RIC), that implement the Lambda
[Runtime API](https://docs.aws.amazon.com/lambda/latest/dg/runtimes-api.html), allowing you to seamlessly extend your preferred
base images to be Lambda compatible.
The Lambda Runtime Interface Client is a lightweight interface that allows your runtime to receive requests from and send requests to the Lambda service.
The Lambda Python Runtime Interface Client is vended through [pip](https://pypi.org/project/awslambdaric).
You can include this package in your preferred base image to make that base image Lambda compatible.
## Requirements
The Python Runtime Interface Client package currently supports Python versions:
- 3.9.x up to and including 3.13.x
## Usage
### Creating a Docker Image for Lambda with the Runtime Interface Client
First step is to choose the base image to be used. The supported Linux OS distributions are:
- Amazon Linux 2
- Alpine
- Debian
- Ubuntu
Then, the Runtime Interface Client needs to be installed. We provide both wheel and source distribution.
If the OS/pip version used does not support [manylinux2014](https://www.python.org/dev/peps/pep-0599/) wheels, you will also need to install the required build dependencies.
Also, your Lambda function code needs to be copied into the image.
```dockerfile
# Include global arg in this stage of the build
ARG FUNCTION_DIR
# Install aws-lambda-cpp build dependencies
RUN apt-get update && \
apt-get install -y \
g++ \
make \
cmake \
unzip \
libcurl4-openssl-dev
# Copy function code
RUN mkdir -p ${FUNCTION_DIR}
COPY app/* ${FUNCTION_DIR}
# Install the function's dependencies
RUN pip install \
--target ${FUNCTION_DIR} \
awslambdaric
```
The next step would be to set the `ENTRYPOINT` property of the Docker image to invoke the Runtime Interface Client and then set the `CMD` argument to specify the desired handler.
Example Dockerfile (to keep the image light we use a multi-stage build):
```dockerfile
# Define custom function directory
ARG FUNCTION_DIR="/function"
FROM public.ecr.aws/docker/library/python:buster as build-image
# Include global arg in this stage of the build
ARG FUNCTION_DIR
# Install aws-lambda-cpp build dependencies
RUN apt-get update && \
apt-get install -y \
g++ \
make \
cmake \
unzip \
libcurl4-openssl-dev
# Copy function code
RUN mkdir -p ${FUNCTION_DIR}
COPY app/* ${FUNCTION_DIR}
# Install the function's dependencies
RUN pip install \
--target ${FUNCTION_DIR} \
awslambdaric
FROM public.ecr.aws/docker/library/python:buster
# Include global arg in this stage of the build
ARG FUNCTION_DIR
# Set working directory to function root directory
WORKDIR ${FUNCTION_DIR}
# Copy in the built dependencies
COPY --from=build-image ${FUNCTION_DIR} ${FUNCTION_DIR}
ENTRYPOINT [ "/usr/local/bin/python", "-m", "awslambdaric" ]
CMD [ "app.handler" ]
```
Example Python handler `app.py`:
```python
def handler(event, context):
return "Hello World!"
```
### Local Testing
To make it easy to locally test Lambda functions packaged as container images we open-sourced a lightweight web-server, Lambda Runtime Interface Emulator (RIE), which allows your function packaged as a container image to accept HTTP requests. You can install the [AWS Lambda Runtime Interface Emulator](https://github.com/aws/aws-lambda-runtime-interface-emulator) on your local machine to test your function. Then when you run the image function, you set the entrypoint to be the emulator.
*To install the emulator and test your Lambda function*
1) From your project directory, run the following command to download the RIE from GitHub and install it on your local machine.
```shell script
mkdir -p ~/.aws-lambda-rie && \
curl -Lo ~/.aws-lambda-rie/aws-lambda-rie https://github.com/aws/aws-lambda-runtime-interface-emulator/releases/latest/download/aws-lambda-rie && \
chmod +x ~/.aws-lambda-rie/aws-lambda-rie
```
2) Run your Lambda image function using the docker run command.
```shell script
docker run -d -v ~/.aws-lambda-rie:/aws-lambda -p 9000:8080 \
--entrypoint /aws-lambda/aws-lambda-rie \
myfunction:latest \
/usr/local/bin/python -m awslambdaric app.handler
```
This runs the image as a container and starts up an endpoint locally at `http://localhost:9000/2015-03-31/functions/function/invocations`.
3) Post an event to the following endpoint using a curl command:
```shell script
curl -XPOST "http://localhost:9000/2015-03-31/functions/function/invocations" -d '{}'
```
This command invokes the function running in the container image and returns a response.
*Alternately, you can also include RIE as a part of your base image. See the AWS documentation on how to [Build RIE into your base image](https://docs.aws.amazon.com/lambda/latest/dg/images-test.html#images-test-alternative).*
## Development
### Building the package
Clone this repository and run:
```shell script
make init
make build
```
### Running tests
Make sure the project is built:
```shell script
make init build
```
Then,
* to run unit tests: `make test`
* to run integration tests: `make test-integ`
* to run smoke tests: `make test-smoke`
### Troubleshooting
While running integration tests, you might encounter the Docker Hub rate limit error with the following body:
```
You have reached your pull rate limit. You may increase the limit by authenticating and upgrading: https://www.docker.com/increase-rate-limits
```
To fix the above issue, consider authenticating to a Docker Hub account by setting the Docker Hub credentials as below CodeBuild environment variables.
```shell script
DOCKERHUB_USERNAME=<dockerhub username>
DOCKERHUB_PASSWORD=<dockerhub password>
```
Recommended way is to set the Docker Hub credentials in CodeBuild job by retrieving them from AWS Secrets Manager.
## Security
If you discover a potential security issue in this project we ask that you notify AWS/Amazon Security via our [vulnerability reporting page](http://aws.amazon.com/security/vulnerability-reporting/). Please do **not** create a public github issue.
## License
This project is licensed under the Apache-2.0 License.
Raw data
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"description": "## AWS Lambda Python Runtime Interface Client\n\nWe have open-sourced a set of software packages, Runtime Interface Clients (RIC), that implement the Lambda\n [Runtime API](https://docs.aws.amazon.com/lambda/latest/dg/runtimes-api.html), allowing you to seamlessly extend your preferred\n base images to be Lambda compatible.\nThe Lambda Runtime Interface Client is a lightweight interface that allows your runtime to receive requests from and send requests to the Lambda service.\n\nThe Lambda Python Runtime Interface Client is vended through [pip](https://pypi.org/project/awslambdaric).\nYou can include this package in your preferred base image to make that base image Lambda compatible.\n\n## Requirements\nThe Python Runtime Interface Client package currently supports Python versions:\n - 3.9.x up to and including 3.13.x\n\n## Usage\n\n### Creating a Docker Image for Lambda with the Runtime Interface Client\nFirst step is to choose the base image to be used. The supported Linux OS distributions are:\n\n - Amazon Linux 2\n - Alpine\n - Debian\n - Ubuntu\n\n\nThen, the Runtime Interface Client needs to be installed. We provide both wheel and source distribution.\nIf the OS/pip version used does not support [manylinux2014](https://www.python.org/dev/peps/pep-0599/) wheels, you will also need to install the required build dependencies.\nAlso, your Lambda function code needs to be copied into the image.\n\n```dockerfile\n# Include global arg in this stage of the build\nARG FUNCTION_DIR\n\n# Install aws-lambda-cpp build dependencies\nRUN apt-get update && \\\n apt-get install -y \\\n g++ \\\n make \\\n cmake \\\n unzip \\\n libcurl4-openssl-dev\n\n# Copy function code\nRUN mkdir -p ${FUNCTION_DIR}\nCOPY app/* ${FUNCTION_DIR}\n\n# Install the function's dependencies\nRUN pip install \\\n --target ${FUNCTION_DIR} \\\n awslambdaric\n```\n\nThe next step would be to set the `ENTRYPOINT` property of the Docker image to invoke the Runtime Interface Client and then set the `CMD` argument to specify the desired handler.\n\nExample Dockerfile (to keep the image light we use a multi-stage build):\n```dockerfile\n# Define custom function directory\nARG FUNCTION_DIR=\"/function\"\n\nFROM public.ecr.aws/docker/library/python:buster as build-image\n\n# Include global arg in this stage of the build\nARG FUNCTION_DIR\n\n# Install aws-lambda-cpp build dependencies\nRUN apt-get update && \\\n apt-get install -y \\\n g++ \\\n make \\\n cmake \\\n unzip \\\n libcurl4-openssl-dev\n\n# Copy function code\nRUN mkdir -p ${FUNCTION_DIR}\nCOPY app/* ${FUNCTION_DIR}\n\n# Install the function's dependencies\nRUN pip install \\\n --target ${FUNCTION_DIR} \\\n awslambdaric\n\n\nFROM public.ecr.aws/docker/library/python:buster\n\n# Include global arg in this stage of the build\nARG FUNCTION_DIR\n# Set working directory to function root directory\nWORKDIR ${FUNCTION_DIR}\n\n# Copy in the built dependencies\nCOPY --from=build-image ${FUNCTION_DIR} ${FUNCTION_DIR}\n\nENTRYPOINT [ \"/usr/local/bin/python\", \"-m\", \"awslambdaric\" ]\nCMD [ \"app.handler\" ]\n```\n\nExample Python handler `app.py`:\n```python\ndef handler(event, context):\n return \"Hello World!\"\n```\n\n### Local Testing\n\nTo make it easy to locally test Lambda functions packaged as container images we open-sourced a lightweight web-server, Lambda Runtime Interface Emulator (RIE), which allows your function packaged as a container image to accept HTTP requests. You can install the [AWS Lambda Runtime Interface Emulator](https://github.com/aws/aws-lambda-runtime-interface-emulator) on your local machine to test your function. Then when you run the image function, you set the entrypoint to be the emulator.\n\n*To install the emulator and test your Lambda function*\n\n1) From your project directory, run the following command to download the RIE from GitHub and install it on your local machine.\n\n```shell script\nmkdir -p ~/.aws-lambda-rie && \\\n curl -Lo ~/.aws-lambda-rie/aws-lambda-rie https://github.com/aws/aws-lambda-runtime-interface-emulator/releases/latest/download/aws-lambda-rie && \\\n chmod +x ~/.aws-lambda-rie/aws-lambda-rie\n```\n2) Run your Lambda image function using the docker run command.\n\n```shell script\ndocker run -d -v ~/.aws-lambda-rie:/aws-lambda -p 9000:8080 \\\n --entrypoint /aws-lambda/aws-lambda-rie \\\n myfunction:latest \\\n /usr/local/bin/python -m awslambdaric app.handler\n```\n\nThis runs the image as a container and starts up an endpoint locally at `http://localhost:9000/2015-03-31/functions/function/invocations`.\n\n3) Post an event to the following endpoint using a curl command:\n\n```shell script\ncurl -XPOST \"http://localhost:9000/2015-03-31/functions/function/invocations\" -d '{}'\n```\n\nThis command invokes the function running in the container image and returns a response.\n\n*Alternately, you can also include RIE as a part of your base image. See the AWS documentation on how to [Build RIE into your base image](https://docs.aws.amazon.com/lambda/latest/dg/images-test.html#images-test-alternative).*\n\n\n## Development\n\n### Building the package\nClone this repository and run:\n\n```shell script\nmake init\nmake build\n```\n\n### Running tests\n\nMake sure the project is built:\n```shell script\nmake init build\n```\nThen,\n* to run unit tests: `make test`\n* to run integration tests: `make test-integ`\n* to run smoke tests: `make test-smoke`\n\n### Troubleshooting\nWhile running integration tests, you might encounter the Docker Hub rate limit error with the following body:\n```\nYou have reached your pull rate limit. You may increase the limit by authenticating and upgrading: https://www.docker.com/increase-rate-limits\n```\nTo fix the above issue, consider authenticating to a Docker Hub account by setting the Docker Hub credentials as below CodeBuild environment variables.\n```shell script\nDOCKERHUB_USERNAME=<dockerhub username>\nDOCKERHUB_PASSWORD=<dockerhub password>\n```\nRecommended way is to set the Docker Hub credentials in CodeBuild job by retrieving them from AWS Secrets Manager.\n## Security\n\nIf you discover a potential security issue in this project we ask that you notify AWS/Amazon Security via our [vulnerability reporting page](http://aws.amazon.com/security/vulnerability-reporting/). Please do **not** create a public github issue.\n\n## License\n\nThis project is licensed under the Apache-2.0 License.\n",
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