Plugin for testing pubsub, pulsar, and kafka systems with pytest locally and in ci/cd
Project description
Pytest Streaming
Augmenting and simplifying the flow of testing streaming applications including pulsar, google pubsub, kafka, and nats.
Documentation
PyTest streaming documentation can be found here.
Description
This PyTest plugin makes it easy to test streaming functionality (unit, integration, test, etc) through seamless and easy to use decorators. The plugin currently supports bootstrapping of resources for the following technologies
The only setup the user needs to take is to have these running locally (ideally via Docker). Docker compose files are provided for each of these, with formal documentation on how to setup everything easily in CI/CD as well.
Quick start
To get started, you should reference the extensive documentation page found here.
For a quick start, you can follow these steps
Install pytest-streaming
pip install pytest-streaming
Utilize the decorator for the streaming technology of your choice
If you're using docker compose, adding this for pulsar will get you
up and running end to end (docker-compose.yml)
services:
pulsar:
image: apachepulsar/pulsar:latest
container_name: pulsar
ports: ['6650:6650', '8080:8080']
environment:
- PULSAR_STANDALONE_ENABLED=true
- allowAutoTopicCreation=true
command: [bin/pulsar, standalone]
Now you can run: docker compose up -d to have pulsar locally bootstrapped.
Lastly, you can simply create test specific topics
class TestPulsarProducer:
@pytest.mark.pulsar(topics=["test-topic1", "test-topic2"])
def test_pubsub_marker_topic_creation_base(self) -> None:
# these pulsar topics are now available and completely clean
...
Everything will be created and cleaned up for you by default on every test run. Each decorator has a suite of customizable features. Read the documentation to see other parameters you can use and how you can create topics for global use (integration tests).
Adding to your CI/CD
Running this in CI/CD is as simple and ensuring pulsar (or other streaming choice) is running in the network. For the example above, adding this step to your GitHub action will yield all the setup required
- name: run docker-compose
run: |
docker compose up -d
sleep 5s
Examples
A suite of examples which are provided and ran within the test suite directly
to verify functionality. These can be found under the examples directory
at the root level of this project.
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