pytest-arrakis 0.3.0

Pytest plugin providing Arrakis fixtures for testing

pytest-arrakis

Pytest plugin providing Arrakis fixtures for testing

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Resources

• Source Code
• Issue Tracker

Installation

pip install pytest-arrakis

To enable publish fixtures (including a real Kafka-backed server), install the publish extra:

pip install pytest-arrakis[publish]

Fixtures

Core fixtures

These are available out of the box:

Fixture	Scope	Description
arrakis_channel_configs	session	List of paths to the bundled per-publisher config files
arrakis_backend	session	A MockBackend configured with the bundled test channels
arrakis_server	session	A running mock ArrakisFlightServer (sets ARRAKIS_SERVER env var)
arrakis_channels	session	Dict of channel metadata loaded from the bundled TOML
arrakis_mock_publisher	function	A mocked Publisher with FakeProducer for sink testing (no server/broker needed)

Publish fixtures (requires publish extra)

These are conditionally registered when arrakis-backend-kafka and pytest-kafka-broker are installed:

Fixture	Scope	Description
arrakis_publish_backend	function	A real KafkaBackend pointed at an embedded Kafka broker
arrakis_publish_server	function	A publish-capable ArrakisFlightServer backed by Kafka
arrakis_publisher	function	A real Publisher registered against the embedded broker

Usage

Fetching data from a mock server

def test_fetch(arrakis_server):
    import arrakis

    block = arrakis.fetch(["H1:TEST-CHANNEL_SIN"], 0, 1)
    for channel, series in block.items():
        assert len(series) > 0

Testing a publisher without a real broker

def test_publish(arrakis_mock_publisher):
    publisher, fake_producer, published_blocks = arrakis_mock_publisher

    # publish a block through your code under test ...
    assert len(published_blocks) == 1

End-to-end publish testing (requires publish extra)

def test_roundtrip(arrakis_publisher):
    # arrakis_publisher is a real Publisher connected to an embedded Kafka broker
    ...

Bundled test channels

The plugin ships with a set of test channel definitions:

Channel	Publisher	Sample Rate	Data Type
H1:TEST-CHANNEL_SIN	FAKE_H1	512	float32
H1:TEST-CHANNEL_COS	FAKE_H1	16384	float64
H1:TEST-STATE_ONES	FAKE_H1	16	int32
L1:TEST-NOISE	FAKE_L1	4096	float32

CI setup

GitLab CI

The core fixtures work without any extra system dependencies. However, the publish extra uses pytest-kafka-broker, which starts an embedded Kafka broker that requires a JVM at runtime. In Debian/Ubuntu-based CI images (including the standard python: Docker images), install it in a before_script:

test:
  image: python:3.13
  before_script:
    - apt-get update && apt-get install -y --no-install-recommends default-jre-headless

If you only use the core fixtures (no publish extra), the JVM is not needed.