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=encoding utf-8

=head1 NAME

AWS::Lambda - Perl support for AWS Lambda Custom Runtime.

=head1 SYNOPSIS

Save the following Perl script as C<handler.pl>.

    sub handle {
        my ($payload, $context) = @_;
        return $payload;
    }
    1;

and then, zip the script.

    $ zip handler.zip handler.pl

Finally, create new function using awscli.

    $ aws --region "$REGION" --profile "$PROFILE" lambda create-function \
        --function-name "hello-perl" \
        --zip-file "fileb://handler.zip" \
        --handler "handler.handle" \
        --runtime provided.al2023 \
        --role arn:aws:iam::xxxxxxxxxxxx:role/service-role/lambda-custom-runtime-perl-role \
        --layers "arn:aws:lambda:$REGION:445285296882:layer:perl-5-38-runtime-al2023-x86_64:1"

It also supports L<response streaming|https://docs.aws.amazon.com/lambda/latest/dg/configuration-response-streaming.html>.

    sub handle {
        my ($payload, $context) = @_;
        return sub {
            my $responder = shift;
            my $writer = $responder->('application/json');
            $writer->write('{"foo": "bar"}');
            $writer->close;
        };
    }

=head1 DESCRIPTION

This package makes it easy to run AWS Lambda Functions written in Perl.

=head2 Use Pre-built Public Lambda Layers

=over

=item 1

Login to your AWS Account and go to the Lambda Console.

=item 2

Create a new function and give it a name and an IAM Role.

=item 3

For the "Runtime" selection, select B<Provide your own bootstrap on Amazon Linux 2>.

=item 4

In the "Designer" section of your function dashboard, select the B<Layers> box.

=item 5

Scroll down to the "Layers" section and click B<Add a layer>.

=item 6

Select the B<Provide a layer version ARN> option, then copy/paste the Layer ARN for your region.

=item 7

Click the B<Add> button.

=item 8

Click B<Save> in the upper right.

=item 9

Upload your code and start using Perl in AWS Lambda!

=back

You can get the layer ARN in your script by using C<get_layer_info>.

    use AWS::Lambda;
    my $info = AWS::Lambda::get_layer_info_al2023(
        "5.38",      # Perl Version
        "us-east-1", # Region
        "x86_64",    # Architecture ("x86_64" or "arm64", optional, the default is "x86_64")
    );
    say $info->{runtime_arn};     # arn:aws:lambda:us-east-1:445285296882:layer:perl-5-38-runtime-al2023-x86_64:1
    say $info->{runtime_version}; # 1
    say $info->{paws_arn}         # arn:aws:lambda:us-east-1:445285296882:layer:perl-5-38-paws-al2023-x86_64:1
    say $info->{paws_version}     # 1,

Or, you can use following one-liner.

    perl -MAWS::Lambda -e 'AWS::Lambda::print_runtime_arn_al2023("5.38", "us-east-1")'
    perl -MAWS::Lambda -e 'AWS::Lambda::print_paws_arn_al2023("5.38", "us-east-1")'

The list of all layer ARNs is available on L<AWS::Lambda::AL2023>.

=head2 Use Pre-built Zip Archives

=over

=item 1

Login to your AWS Account and go to the Lambda Console.

=item 2

Create a new layer and give it a name.

=item 3

For the "Code entry type" selection, select B<Upload a file from Amazon S3>.

=item 4

In the "License" section, input L<https://github.com/shogo82148/p5-aws-lambda/blob/main/LICENSE>.

=item 5

Click B<Create> button.

=item 6

Use the layer created. For detail, see Use Prebuilt Public Lambda Layer section.

=back

URLs for Zip archives are here.

C<https://shogo82148-lambda-perl-runtime-$REGION.s3.amazonaws.com/perl-$VERSION-runtime-al2023-$ARCHITECTURE.zip>

=head2 Use Pre-built Docker Images

Prebuilt Docker Images based on L<https://gallery.ecr.aws/lambda/provided> are available.
You can pull from L<https://gallery.ecr.aws/shogo82148/p5-aws-lambda> or L<https://hub.docker.com/r/shogo82148/p5-aws-lambda>,
build your custom images and deploy them to AWS Lambda.

Here is an example of Dockerfile.

    FROM shogo82148/p5-aws-lambda:base-5.38.al2023
    # or if you want to use ECR Public.
    # FROM public.ecr.aws/shogo82148/p5-aws-lambda:base-5.38.al2023
    COPY handler.pl /var/task/
    CMD [ "handler.handle" ]

Build the hello-perl container image locally:

    $ docker build -t hello-perl .

To check if this is working, start the container image locally using the Lambda Runtime Interface Emulator:

    $ docker run -p 9000:8080 hello-perl:latest

Now, you can test a function invocation with cURL.

    $ curl -XPOST "http://localhost:9000/2015-03-31/functions/function/invocations" -d '{}'

To upload the container image, you need to create a new ECR repository in your account and tag the local image to push it to ECR.

    $ aws ecr create-repository --repository-name hello-perl --image-scanning-configuration scanOnPush=true
    $ docker tag hello-perl:latest 123412341234.dkr.ecr.sa-east-1.amazonaws.com/hello-perl:latest
    $ aws ecr get-login-password | docker login --username AWS --password-stdin 123412341234.dkr.ecr.sa-east-1.amazonaws.com
    $ docker push 123412341234.dkr.ecr.sa-east-1.amazonaws.com/hello-perl:latest

Finally, create new function using awscli.

    $ aws --region "$REGION" --profile "$PROFILE" lambda create-function \
        --function-name "hello-perl" \
        --code ImageUri=123412341234.dkr.ecr.sa-east-1.amazonaws.com/hello-perl:latest \
        --handler "handler.handle" \
        --runtime provided.al2023 \
        --role arn:aws:iam::xxxxxxxxxxxx:role/service-role/lambda-custom-runtime-perl-role