问题描述
我有一个测试，其中有一个设置方法，应接收一个 dataset ，一个测试函数，该函数应针对 dataset中的每个 data 运行
I have a test where I have a setup method, that should receive a dataset, and a test function, that should run for each data in dataset
基本上，我需要类似的东西:
Basically I would need something like:
datasetA = [data1_a, data2_a, data3_a]
datasetB = [data1_b, data2_b, data3_b]
@pytest.fixture(autouse=True, scope="module", params=[datasetA, datasetB])
def setup(dataset):
#do setup
yield
#finalize
#dataset should be the same instantiated for the setup
@pytest.mark.parametrize('data', [data for data in dataset])
def test_data(data):
#do test
它应该像这样运行:
- setup(datasetA)
- test(data1_a)
- test(data2_a)
- test(data3_a)
- setup(datasetB)
- test(data1_b)
- test(data2_b)
- test(data3_b)
但是，正如我在示例中所希望的那样，似乎无法对由灯具获得的变量进行参数化.
However it does not seem to be possible to parametrize over a variable obtained by a fixture, as I wanted to in the example.
我可以让我的函数使用固定装置并在测试方法中进行迭代:
I could have my function use a fixture and iterate inside the test method:
def test_data(dataset):
for data in dataset:
#do test
但是然后我会针对每个案例进行一个大型测试，而不是单独的测试，这是我不希望的.
But then I would have one large test instead of a separate test for each case, which I would not like to have.
有什么办法可以做到这一点?
Is there any way of accomplishing this?
谢谢！
推荐答案
答案#1:如果严格按照设计进行测试，那么它应该看起来像这样:
Answer #1: If strictly following you test design, then it should look like this:
import pytest
datasetA = [10, 20, 30]
datasetB = [100, 200, 300]
@pytest.fixture
def dataset(request):
#do setup
items = request.param
yield items
#finalize
@pytest.fixture
def item(request, dataset):
index = request.param
yield dataset[index]
#dataset should be the same instantiated for the setup
@pytest.mark.parametrize('dataset', [datasetA, datasetB], indirect=True)
@pytest.mark.parametrize('item', [0, 1, 2], indirect=True)
def test_data(dataset, item):
print(item)
#do test
请注意，对于item& dataset.参数值将被传递到与request.param相同名称的灯具.在这种情况下，我们在假设数据集具有3个项目的相同长度的情况下使用索引.
Note the indirect parametrization for both item & dataset. The parameter values will be passed to the same-named fixture as request.param. In this case, we use the index in the assumption that the datasets are of the same length of 3 items.
这是它的执行方式:
$ pytest -s -v -ra test_me.py
test_me.py::test_data[0-dataset0] 10
PASSED
test_me.py::test_data[0-dataset1] 100
PASSED
test_me.py::test_data[1-dataset0] 20
PASSED
test_me.py::test_data[1-dataset1] 200
PASSED
test_me.py::test_data[2-dataset0] 30
PASSED
test_me.py::test_data[2-dataset1] 300
PASSED
这篇关于参数化测试取决于pytest中的参数化值的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！