Custom resources

This repository holds custom resources that can be used by other cloudformation templates.

Format

A custom resource consists of minimum:

A python class somewhere in the custom_resources directory.
A directory with the same name/path in the lambda_code directory, containing the lambda handler. By default, the function handler(event, context) in the file index.py is called, but that can be overridden by changing the handler-setting in the _update_lambda_settings()-hook.

And preferably:

A (set of) integration tests in the test directory.

The python class defines the custom resource as it can be used in Troposphere templates. It should derive from the LambdaBackedCustomResource class. You can use an arbitrary hierarchy under the custom_resources package.

The files under the lambda_code directory implement the actual code for the custom resource. The code corresponding to a class Resource in the module custom_resources/Service/Subservice.py should be a directory lambda_code/Service/Subservice/Resource/. The generated ResourceType name is Custom::Service@Subservice@Resource.

Building

The build script gathers all custom resources in a single (generated) CloudFormation template. Each resource inside lambda_code is zipped. The following (relative) paths are treated specially:

'/requirements.txt`: This file is interpreted to add dependencies in the ZIP file. The file itself is not included in the ZIP
'/test/**': The directory test is ignored, including its contents. This is the ideal location for unit tests.
'/_metadata.py': This file is generated at build-time. It contains various variable definitions that may come in handy at run-time, such as:
- CUSTOM_RESOURCE_NAME: the custom resource name as will be used by depending templates. E.g. "Service@Foobar" for "Custom::Service@Foobar" resources.

Step-by-Step instructions

Assumptions:

You're working in a virtualenv
You have an S3 bucket to save the zip files in. We use $S3_BUCKET and $S3_PATH (should end in /)in the script below
You are using the right profile or environemnt variables to have credentials for the aws command

# install requirements and build
pip install -r requirements.txt --upgrade
python build.py

# Upload the outputs
S3_BUCKET='a-bucket'
S3_PATH="custom-resources-$(date '+%s')"
aws s3 sync output/ s3://$S3_BUCKET/$S3_PATH
echo "uploaded to s3://$S3_BUCKET/$S3_PATH"

# Deploy the cloudformation template in output/cfn.json

Upload to Nexus

Uploading the custom-resources package to Nexus is simple, if you have the permissions to do so in Nexus. You first need to build the package, then you can either upload it through the Nexus web UI, or use twine to do so:

pip install -r dev-requirements.txt --upgrade
python setup.py sdist
twine upload --config-file pypirc -r nexus dist/*

benbridts / custom-resources Goto Github PK