payler 0.2.0

Description:

payler 0.2.0

Payl[oad Spoo]ler

Send your payload now, treat it later.
What is this?
Payler is an asyncio-based Python application intended to provide a way of delaying message execution. The goal of this program is to reduce the workload on your existing message broker solution (Only RabbitMQ is currently supported, but other message-brokers can be easily implemented) by putting the payloads in a storage backend which will then be polled to re-inject payloads in the corresponding destination.
Installation
Through pypi:
$ pip install payler

Through poetry:
$ git clone https://github.com/tbobm/payler
$ cd payler
$ poetry install

How to use this
Using the command line:

Specify the input and output URLs for your drivers (see configuration)
(optional) Customize the configuration to suit your needs currently the example configuration is the only valid one
Run payler payler --config-file configuration.yaml

Using the docker image:

Pull the docker image docker pull ghcr.io/tbobm/payler:latest
(optional) Customize the configuration to suit your needs currently the example configuration is the only valid one (mount the configuration file into the volume at /configuration.yaml)
Run the docker image and provide environment variables docker run -d --name payler -e BROKER_URL="amqp://payler:secret@my-broker/" -e MONGODB_URL="mongodb://payler:secret@my-mongo/payler" ghcr.io/tbobm/payler

Configuration
In order to configure the different workflows, payler uses a configuration file (see configuration.yml).
Example config file:
---
workflows:
- name: "Fetch payloads from RabbitMQ and store them in MongoDB"
location: "payler"
callable: "client.process_queue"
- name: "Re-injects payloads to RabbitMQ"
callable: "client.watch_storage"

The workflows[].name attribute is currently unused, but will offer a more human-friendly way of getting informed about a workflow's state.
The workflows[].location corresponds to the package where the workflows[].callable can be found. It defaults to payler, but can this is a way of offering a dumb and simple plugin mechanism by creating function matching the following signature:
async def my_workflow(loop: asyncio.AbstractEventLoop) -> None:
"""My user-defined workflow."""
# configure your driver(s)
input_driver.serve()

Features

Listen to a Broker Queue
Store messages with a duration or date as metadata
Re-inject the messages after the duration in the default Exchange
Output failed messages to global output

Testing
This project has unittests with pytest. A wrapper script is available at run-tests.sh.
Contributing
Feel free to open new issues for feature requests and bug reports in the issue page and even create PRs if you feel like it.
This project is linted with pylint with some minor adjustments (see the setup.cfg).
Note
This side-project is born from the following:

I wanted to experiment with Python's asyncio
A friend of mine had issues with delaying lots of messages using RabbitMQ's delayed exchange plugin
I was looking for a concrete use-case to work with Github Actions.