path: root/python-awslambdaric.spec

%global _empty_manifest_terminate_build 0
Name:		python-awslambdaric
Version:	2.0.4
Release:	1
Summary:	AWS Lambda Runtime Interface Client for Python
License:	Apache Software License
URL:		https://github.com/aws/aws-lambda-python-runtime-interface-client
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/c9/c1/c851767acd173512fe6089445b3a611283932961ace5dc8fdc337c440538/awslambdaric-2.0.4.tar.gz
BuildArch:	noarch

Requires:	python3-simplejson
Requires:	python3-importlib-metadata

%description
## 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:
 - 3.7.x up to and including 3.9.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
 - CentOS
 - 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.


%package -n python3-awslambdaric
Summary:	AWS Lambda Runtime Interface Client for Python
Provides:	python-awslambdaric
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-awslambdaric
## 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:
 - 3.7.x up to and including 3.9.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
 - CentOS
 - 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.


%package help
Summary:	Development documents and examples for awslambdaric
Provides:	python3-awslambdaric-doc
%description help
## 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:
 - 3.7.x up to and including 3.9.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
 - CentOS
 - 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.


%prep
%autosetup -n awslambdaric-2.0.4

%build
%py3_build

%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .

%files -n python3-awslambdaric -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.4-1
- Package Spec generated