Reference library

Data pipelines & processing

ETL-style flows, batch transforms, validation, and moving data between formats.

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Data pipelines & processing easy

Test a Python Pipeline with Fixture Sample Rows

Test pipeline functions with sample rows provided by a pytest fixture, verifying required keys and value constraints.

pytest fixtures data-pipelines
Python 
import pytest


def get_value(data: dict, key: str):
    return data.get(key)


def sample_rows():
    return [
        {"name": "Alice", "age": 30, "city": "London"},
        {"name": "Bob", "age": 25, "city": "Paris"},
        {"name": "Charlie", "age": 35, "city": "Berlin"},
    ]


@pytest.fixture
def sample_data(…
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