pytest-lazy-fixtures 1.0.7

Allows you to use fixtures in @pytest.mark.parametrize.

pytest-lazy-fixtures

Use your fixtures in @pytest.mark.parametrize.

This project was inspired by pytest-lazy-fixture.

Improvements that have been made in this project:

1. You can use fixtures in any data structures
2. You can access the attributes of fixtures
3. You can use functions in fixtures

Installation

pip install pytest-lazy-fixtures

Usage

To use your fixtures inside @pytest.mark.parametrize you can use lf (lazy_fixture) or pytest.lazy_fixtures.

import pytest
from pytest_lazy_fixtures import lf

@pytest.fixture()
def one():
    return 1

@pytest.mark.parametrize('arg1,arg2', [('val1', lf('one'))])
def test_func(arg1, arg2):
    assert arg2 == 1

@pytest.mark.parametrize('arg1,arg2', [('val1', pytest.lazy_fixtures('one'))])
def test_func(arg1, arg2):
    assert arg2 == 1

lf can be used with any data structures. For example, in the following example, lf is used in the dictionary:

import pytest
from pytest_lazy_fixtures import lf

@pytest.fixture()
def one():
    return 1

@pytest.mark.parametrize('arg1,arg2', [('val1', {"value": lf('one')})])
def test_func(arg1, arg2):
    assert arg2 == {"value": 1}

You can also specify getting an attribute through a dot:

import pytest
from pytest_lazy_fixtures import lf

class Entity:
    def __init__(self, value):
        self.value = value

@pytest.fixture()
def one():
    return Entity(1)

@pytest.mark.parametrize('arg1,arg2', [('val1', lf('one.value'))])
def test_func(arg1, arg2):
    assert arg2 == 1

And there is some useful wrapper called lfc (lazy_fixture_callable) or pytest.lazy_fixtures_callable. It can work with any callable and your fixtures, e.g.

import pytest
from pytest_lazy_fixtures import lf, lfc

class Entity:
    def __init__(self, value):
        self.value = value

    def __str__(self) -> str:
        return str(self.value)

    def sum(self, value: int) -> int:
        return self.value + value

@pytest.fixture()
def entity():
    return Entity(1)

@pytest.fixture()
def two():
    return 2

@pytest.fixture()
def three():
    return 3

@pytest.fixture()
def entity_format():
    def _entity_format(entity: Entity):
        return {"value": entity.value}

    return _entity_format

@pytest.mark.parametrize(
    "message",
    [
        lfc(
            "There is two lazy fixture args, {} and {}! And one kwarg {field}! And also simple value {simple}".format,
            lf("entity"),
            lf("two"),
            field=lf("three"),
            simple="value",
        ),
    ],
)
def test_lazy_fixture_callable_with_func(message):
    assert message == "There is two lazy fixture args, 1 and 2! And one kwarg 3! And also simple value value"


@pytest.mark.parametrize("formatted", [lfc("entity_format", lf("entity"))])
def test_lazy_fixture_callable_with_lf(formatted, entity):
    assert formatted == {"value": entity.value}


@pytest.mark.parametrize("result", [lfc("entity.sum", lf("two"))])
def test_lazy_fixture_callable_with_attr_lf(result):
    assert result == 3

Contributing

Contributions are very welcome. Tests can be run with pytest.

License

Distributed under the terms of the MIT license, pytest-lazy-fixtures is free and open source software

Issues

If you encounter any problems, please file an issue along with a detailed description.