A package for publishing to SNS
A Library meant to standardize the way zapi services interact with SNS/SQS.
The infrastructure of this library is designed to be run inside of various docker containers. Specifically there is a container for:
- The python environment the library's code runs in
- A jaeger tracing instance
- The localstack AWS simulator
These containers can be viewed inside the project's docker-compose.yml
Because these containers are all needed to create a functioning local environment, proceeding without docker is NOT recommended. It can be installed using the docker for mac installer or via
brew cask install docker
The pipenv Virtual Environment
This service's dependencies are all managed with https://github.com/pypa/pipenv and are enumerated inside the project's Pipfile and Pipfile.lock files. Pipenv is a superset of Pip, and will create a virtual python environment (the .venv folder) for this Service. To that end, please ensure you have pipenv installed on your local machine.
brew install pipenv
Configuring your Virtual Environment
To create a virtual environment (the .venv directory) inside your project folder instead of your home (~) directory, save the following in your .bash_profile or .zshrc:
This is highly recommended for vscode users, as the project's linters and formatters are configured to use binaries installed to a local .venv
Running the Library's tests on Docker
Although tests can be run locally, it is recommended to run them through docker, where they will have access to the infrastructure they need. To do so you can use this command:
docker-compose run publisher-app bash test.sh
A Class meant for publishing Event Messages to a single SNS topic.
This Code is meant for distribution across multiple projects, namely our various zapi services which require zeel-publisher as a dependency. The library itself is hosted on PyPi and can be found at
Zeel publisher versioning follows the Semantic Versioning syntax:
Make sure to update setup.py accordingly before publishing a new version.
Commands for uploading to PyPi
Create build -
pipenv run python3 setup.py sdist
pipenv run twine upload dist/*
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