pytest是一个能够简化测试系统构建、方便测试规模扩展的框架,它让测试变得更具表现力和可读性--模版代码不再是必需的。

只需要几分钟的时间,就可以对你的应用开始一个简单的单元测试或者复杂的功能测试。

1. 安装

  • 命令行执行如下命令:pipenv install pytest==5.1.3

  • 查看安装的版本信息:pipenv run pytest --version

2. 创建你的第一个测试用例

它只有四行代码:

# src/chapter-1/test_sample.py

def func(x):
return x + 1 def test_sample():
assert func(3) == 5

通过以下命令执行测试:

λ pipenv run pytest src/chapter-1/test_sample.py
============================= test session starts ==============================
platform win32 -- Python 3.7.3, pytest-5.1.3, py-1.8.0, pluggy-0.13.0
rootdir: D:\Personal Files\Projects\pytest-chinese-doc
collected 1 item src\chapter-1\test_sample.py F [100%] =================================== FAILURES ===================================
_________________________________ test_sample __________________________________ def test_sample():
> assert func(3) == 5
E assert 4 == 5
E + where 4 = func(3) src\chapter-1\test_sample.py:28: AssertionError
============================== 1 failed in 0.05s ===============================

pytest返回一个失败的测试报告,因为func(3)不等于5

3. 执行多个测试用例

执行pipenv run pytest命令,它会执行当前及其子文件夹中,所有命名符合test_*.py或者*_test.py规则的文件;

4. 触发一个指定异常的断言

使用raises可以检查代码是否抛出一个指定的异常:

# src/chapter-1/test_sysexit.py

import pytest

def f():
# 解释器请求退出
raise SystemExit(1) def test_mytest():
with pytest.raises(SystemExit):
f()

执行这个测试用例时,加上-q选项可以查看精简版的测试报告:

λ pipenv run pytest -q src/chapter-1/test_sysexit.py
. [100%]
1 passed in 0.01s

5. 在一个类中组织多个测试用例

pytest可以让你很容易的通过创建一个测试类来包含多个测试用例:

# src/chapter-1/test_class.py

class TestClass:
def test_one(self):
x = 'this'
assert 'h' in x def test_two(self):
x = 'hello'
assert hasattr(x, 'check')

现在我们来执行这个测试用例:

λ pipenv run pytest -q src/chapter-1/test_class.py
.F [100%]
=================================== FAILURES ===================================
______________________________ TestClass.test_two ______________________________ self = <test_class.TestClass object at 0x000001D364778E48> def test_two(self):
x = 'hello'
> assert hasattr(x, 'check')
E AssertionError: assert False
E + where False = hasattr('hello', 'check') src\chapter-1\test_class.py:30: AssertionError
1 failed, 1 passed in 0.05s

从输出的报告中我们可以看到:

  • test_one测试通过,用.表示;test_two测试失败,用F表示;
  • 清除的看到,test_two失败的原因是:False = hasattr('hello', 'check')

注意:

测试类要符合特定的规则,pytest才能发现它:

  • 测试类的命令要符合Test*规则;
  • 测试类中不能有__init__()方法;

6. 申请一个唯一的临时目录

pytest提供一些内置的fixtures,可以用来请求一些系统的资源。例如,一个唯一的临时性目录:

# src/chapter-1/test_tmpdir.py

def test_needsfiles(tmpdir):
print(tmpdir)
assert 0

在测试用例中,以形参的方式使用内置的tempdir fixturepytest会事先创建一个目录,并将一个py.path.local对象作为实参传入;

现在,我们来执行这个测试用例:

λ pipenv run pytest -q src/chapter-1/test_tmpdir.py
F [100%]
=================================== FAILURES ===================================
_______________________________ test_needsfiles ________________________________ tmpdir = local('C:\\Users\\luyao\\AppData\\Local\\Temp\\pytest-of-luyao\\pytest-1\\test_needsfiles0') def test_needsfiles(tmpdir):
print(tmpdir)
> assert 0
E assert 0 src\chapter-1\test_tmpdir.py:25: AssertionError
----------------------------- Captured stdout call ----------------------------- C:\Users\luyao\AppData\Local\Temp\pytest-of-luyao\pytest-1\test_needsfiles0
1 failed in 0.05s

可以使用如下命令查看所有可用的fixtures,如果想同时查看以_开头的fixtures,需要添加-v选项:

λ pipenv run pytest -q -v --fixtures
============================= test session starts ==============================
platform win32 -- Python 3.7.3, pytest-5.1.3, py-1.8.0, pluggy-0.13.0
rootdir: D:\Personal Files\Projects\pytest-chinese-doc
collected 5 items
cache
Return a cache object that can persist state between testing sessions. cache.get(key, default)
cache.set(key, value) Keys must be a ``/`` separated value, where the first part is usually the
name of your plugin or application to avoid clashes with other cache users. Values can be any object handled by the json stdlib module. capsys
Enable text capturing of writes to ``sys.stdout`` and ``sys.stderr``. The captured output is made available via ``capsys.readouterr()`` method
calls, which return a ``(out, err)`` namedtuple.
``out`` and ``err`` will be ``text`` objects. capsysbinary
Enable bytes capturing of writes to ``sys.stdout`` and ``sys.stderr``. The captured output is made available via ``capsysbinary.readouterr()``
method calls, which return a ``(out, err)`` namedtuple.
``out`` and ``err`` will be ``bytes`` objects. capfd
Enable text capturing of writes to file descriptors ``1`` and ``2``. The captured output is made available via ``capfd.readouterr()`` method
calls, which return a ``(out, err)`` namedtuple.
``out`` and ``err`` will be ``text`` objects. capfdbinary
Enable bytes capturing of writes to file descriptors ``1`` and ``2``. The captured output is made available via ``capfd.readouterr()`` method
calls, which return a ``(out, err)`` namedtuple.
``out`` and ``err`` will be ``byte`` objects. doctest_namespace [session scope]
Fixture that returns a :py:class:`dict` that will be injected into the namespace of doctests. pytestconfig [session scope]
Session-scoped fixture that returns the :class:`_pytest.config.Config` object. Example:: def test_foo(pytestconfig):
if pytestconfig.getoption("verbose") > 0:
... record_property
Add an extra properties the calling test.
User properties become part of the test report and are available to the
configured reporters, like JUnit XML.
The fixture is callable with ``(name, value)``, with value being automatically
xml-encoded. Example:: def test_function(record_property):
record_property("example_key", 1) record_xml_attribute
Add extra xml attributes to the tag for the calling test.
The fixture is callable with ``(name, value)``, with value being
automatically xml-encoded record_testsuite_property [session scope]
Records a new ``<property>`` tag as child of the root ``<testsuite>``. This is suitable to
writing global information regarding the entire test suite, and is compatible with ``xunit2`` JUnit family. This is a ``session``-scoped fixture which is called with ``(name, value)``. Example: .. code-block:: python def test_foo(record_testsuite_property):
record_testsuite_property("ARCH", "PPC")
record_testsuite_property("STORAGE_TYPE", "CEPH") ``name`` must be a string, ``value`` will be converted to a string and properly xml-escaped. caplog
Access and control log capturing. Captured logs are available through the following properties/methods:: * caplog.text -> string containing formatted log output
* caplog.records -> list of logging.LogRecord instances
* caplog.record_tuples -> list of (logger_name, level, message) tuples
* caplog.clear() -> clear captured records and formatted log output string monkeypatch
The returned ``monkeypatch`` fixture provides these
helper methods to modify objects, dictionaries or os.environ:: monkeypatch.setattr(obj, name, value, raising=True)
monkeypatch.delattr(obj, name, raising=True)
monkeypatch.setitem(mapping, name, value)
monkeypatch.delitem(obj, name, raising=True)
monkeypatch.setenv(name, value, prepend=False)
monkeypatch.delenv(name, raising=True)
monkeypatch.syspath_prepend(path)
monkeypatch.chdir(path) All modifications will be undone after the requesting
test function or fixture has finished. The ``raising``
parameter determines if a KeyError or AttributeError
will be raised if the set/deletion operation has no target. recwarn
Return a :class:`WarningsRecorder` instance that records all warnings emitted by test functions. See http://docs.python.org/library/warnings.html for information
on warning categories. tmpdir_factory [session scope]
Return a :class:`_pytest.tmpdir.TempdirFactory` instance for the test session. tmp_path_factory [session scope]
Return a :class:`_pytest.tmpdir.TempPathFactory` instance for the test session. tmpdir
Return a temporary directory path object
which is unique to each test function invocation,
created as a sub directory of the base temporary
directory. The returned object is a `py.path.local`_
path object. .. _`py.path.local`: https://py.readthedocs.io/en/latest/path.html tmp_path
Return a temporary directory path object
which is unique to each test function invocation,
created as a sub directory of the base temporary
directory. The returned object is a :class:`pathlib.Path`
object. .. note:: in python < 3.6 this is a pathlib2.Path ============================ no tests ran in 0.10s =============================

GitHub仓库地址:https://github.com/luizyao/pytest-chinese-doc

1、pytest中文文档--安装和入门的更多相关文章

  1. IdentityServer4 中文文档 -16- (快速入门)使用 EntityFramework Core 存储配置数据

    IdentityServer4 中文文档 -16- (快速入门)使用 EntityFramework Core 存储配置数据 原文:http://docs.identityserver.io/en/r ...

  2. IdentityServer4 中文文档 -15- (快速入门)添加 JavaScript 客户端

    IdentityServer4 中文文档 -15- (快速入门)添加 JavaScript 客户端 原文:http://docs.identityserver.io/en/release/quicks ...

  3. IdentityServer4 中文文档 -14- (快速入门)使用 ASP.NET Core Identity

    IdentityServer4 中文文档 -14- (快速入门)使用 ASP.NET Core Identity 原文:http://docs.identityserver.io/en/release ...

  4. IdentityServer4 中文文档 -13- (快速入门)切换到混合流并添加 API 访问

    IdentityServer4 中文文档 -13- (快速入门)切换到混合流并添加 API 访问 原文:http://docs.identityserver.io/en/release/quickst ...

  5. IdentityServer4 中文文档 -12- (快速入门)添加外部认证支持

    IdentityServer4 中文文档 -12- (快速入门)添加外部认证支持 原文:http://docs.identityserver.io/en/release/quickstarts/4_e ...

  6. IdentityServer4 中文文档 -11- (快速入门)添加基于 OpenID Connect 的用户认证

    IdentityServer4 中文文档 -11- (快速入门)添加基于 OpenID Connect 的用户认证 原文:http://docs.identityserver.io/en/releas ...

  7. IdentityServer4 中文文档 -8- (快速入门)设置和概览

    IdentityServer4 中文文档 -8- (快速入门)设置和概览 原文:http://docs.identityserver.io/en/release/quickstarts/0_overv ...

  8. IdentityServer4 中文文档 -9- (快速入门)使用客户端凭证保护API

    IdentityServer4 中文文档 -9- (快速入门)使用客户端凭证保护API 原文:http://docs.identityserver.io/en/release/quickstarts/ ...

  9. IdentityServer4 中文文档 -10- (快速入门)使用密码保护API

    IdentityServer4 中文文档 -10- (快速入门)使用密码保护API 原文:http://docs.identityserver.io/en/release/quickstarts/2_ ...

随机推荐

  1. WPF后台设置颜色字体等

    Button TempButton = new Button();                                                TempButton.Tag = “按 ...

  2. 0x02 递推与递归

    [例题]CH0301 递归实现指数型枚举 #include <iostream> #include <cstdio> #include <algorithm> #i ...

  3. 记我的一次 Java 服务性能优化

    背景 前段时间我们的服务遇到了性能瓶颈,由于前期需求太急没有注意这方面的优化,到了要还技术债的时候就非常痛苦了. 在很低的 QPS 压力下服务器 load 就能达到 10-20,CPU 使用率 60% ...

  4. Prometheus 集成 Node Exporter

    文章首发于公众号<程序员果果> 地址:https://mp.weixin.qq.com/s/40ULB9UWbXVA21MxqnjBxw 简介 Prometheus 官方和一些第三方,已经 ...

  5. 使用rpm安装指定版本的docker(1.12.6)

    一.原因 如果系统是Centos7.3,直接使用yum install docker安装的docker版本是1.13.1,导致在创建容器的会报错,错误如下: 所以为了防止安装高版本的docker引发的 ...

  6. javaScript基础-04 对象

    一.对象的基本概念 对象是JS的基本数据类型,对象是一种复合值,它将很多值(原始值或者对象)聚合在一起,可通过名字访问这些值,对象也可看做是属性的无序集合,每个属性都是一个名/值对.对象不仅仅是字符串 ...

  7. 基于Visual C#的AutoCAD开发——一些网址

    https://blog.csdn.net/xwebsite/article/details/5578446 http://www.cadgj.com/?p=1504

  8. Javasrcipt中从一个url或者从一个字符串中获取参数值得方法

    从url中获取参数值是che程序开发过程中的常用需求,偶然得闲,便抽空研究了一下javasrcipt下,获取参数的办法(JAVA中也类似). 首先看url的规范: URL组成:protocol :// ...

  9. 用小程序·云开发两天搭建mini论坛丨实战

    笔者最近涉猎了小程序相关的知识,于是利用周末时间开发了一款类似于同事的小程序,深度体验了小程序云开发模式提供的云函数.数据库.存储三大能力.关于云开发,可参考文档:小程序·云开发. 个人感觉云开发带来 ...

  10. 新手class名常用概括

    容器: container 页头:header 内容:content/container 页面主体:main 页尾:footer 导航:nav 侧栏:sidebar 栏目:column        ...