pytest文档42-fixture参数化params

def fixture(scope="function", params=None, autouse=False, ids=None, name=None):
"""Decorator to mark a fixture factory function.This decorator can be used, with or without parameters, to define a
fixture function.The name of the fixture function can later be referenced to cause its
invocation ahead of running tests: test
modules or classes can use the ``pytest.mark.usefixtures(fixturename)``
marker.Test functions can directly use fixture names as input
arguments in which case the fixture instance returned from the fixture
function will be injected.Fixtures can provide their values to test functions using ``return`` or ``yield``
statements. When using ``yield`` the code block after the ``yield`` statement is executed
as teardown code regardless of the test outcome, and must yield exactly once.:arg scope: the scope for which this fixture is shared, one of
``"function"`` (default), ``"class"``, ``"module"``,
``"package"`` or ``"session"``.``"package"`` is considered **experimental** at this time.:arg params: an optional list of parameters which will cause multiple
invocations of the fixture function and all of the tests
using it.
The current parameter is available in ``request.param``.:arg autouse: if True, the fixture func is activated for all tests that
can see it.  If False (the default) then an explicit
reference is needed to activate the fixture.:arg ids: list of string ids each corresponding to the params
so that they are part of the test id. If no ids are provided
they will be generated automatically from the params.:arg name: the name of the fixture. This defaults to the name of the
decorated function. If a fixture is used in the same module in
which it is defined, the function name of the fixture will be
shadowed by the function arg that requests the fixture; one way
to resolve this is to name the decorated function
``fixture_<fixturename>`` and then use
``@pytest.fixture(name='<fixturename>')``.
"""
if callable(scope) and params is None and autouse is False:
# direct decoration
return FixtureFunctionMarker("function", params, autouse, name=name)(scope)
if params is not None and not isinstance(params, (list, tuple)):
params = list(params)
return FixtureFunctionMarker(scope, params, autouse, ids=ids, name=name)

    :arg params: an optional list of parameters which will cause multiple
invocations of the fixture function and all of the tests
using it.
The current parameter is available in ``request.param``.

# test_fixture_params.py
import pytest
# 作者-上海悠悠 QQ交流群:717225969
# blog地址 https://www.cnblogs.com/yoyoketang/# 测试数据，存放在list
user_data = ["user1", "user2"]@pytest.fixture(scope="function", params=user_data)
def users(request):
'''注册用户参数化'''
return request.paramdef test_register(users):
print("注册用户：%s"%users)if __name__ == '__main__':
pytest.main(["-s", "test_fixture_params"])

>pytest test_fixture_params.py -s
============================= test session starts =============================
platform win32 -- Python 3.6.0, pytest-4.5.0, py-1.5.4, pluggy-0.13.1
rootdir: D:\soft\demo
plugins: allure-pytest-2.8.6
collected 2 itemstest_fixture_params.py 注册用户：user1
.注册用户：user2
.========================== 2 passed in 0.02 seconds ===========================

# test_fixture_params.py
import pytest
# 作者-上海悠悠 QQ交流群:717225969
# blog地址 https://www.cnblogs.com/yoyoketang/def delete_sql(user):
'''这里执行SQL'''
sql = "delete from auth_user WHERE username = '%s';"%user
print("执行的sql:%s"%sql)
# 调用执行SQL的封装函数# 测试数据，存放在list
user_data = ["user1", "user2"]@pytest.fixture(scope="function", params=user_data)
def users(request):
'''注册用户参数化'''# 前置操作
delete_sql(request.param)yield request.param# # 后置操作
# delete_sql(request.param)def test_register(users):
print("注册用户：%s"%users)if __name__ == '__main__':
pytest.main(["-s", "test_fixture_params.py"])

collected 2 itemstest_fixture_params.py 执行的sql:delete from auth_user WHERE username = 'user1';
注册用户：user1
.执行的sql:delete from auth_user WHERE username = 'user2';
注册用户：user2
.========================== 2 passed in 0.06 seconds ===========================