Pytest03-pytest命令行參數

3.pytest命令行參數

3.1 pytest控制檯信息詳解

    一般在運行pytest以後,會出現以下所示的控制檯信息:html

C:\Users\Surpass\Documents\PycharmProjects\PytestStudy\Lesson01>pytest test_01.py
==================test session starts =======================
platform win32 -- Python 3.7.6, pytest-5.4.2, py-1.8.1, pluggy-0.13.1
rootdir: C:\Users\Surpass\Documents\PycharmProjects\PytestStudy\Lesson01
collected 2 items

test_01.py .F                                    [100%]

===================FAILURES =================================
__________________ test_add_02 ______________________________

    def test_add_02():
>       assert Add(3,4)==6
E       assert 7 == 6
E        +  where 7 = Add(3, 4)

test_01.py:12: AssertionError
================ short test summary info ====================
FAILED test_01.py::test_add_02 - assert 7 == 6
=============== 1 failed, 1 passed in 0.56s ==================
  • ===== test session starts =====

測試會話分隔符,表明啓動了一個新的調用python

  • platform win32 -- Python 3.7.6, pytest-5.4.2, py-1.8.1, pluggy-0.13.1

當前運行的平臺,Python、pytest、pytest包的版本等信息微信

  • rootdir

當前起始目錄,pytest搜索測試代碼時使用的目錄session

  • collected 2 items

在搜索的目錄中找到的測試函數個數框架

  • test_01.py .F

test_01.py表明測試文件函數

  • FAILED

未經過的測試函數的失敗緣由單元測試

  • 1 failed, 1 passed in 0.14s

統計測試函數經過和未經過的數量及運行時間學習

3.2 Pytest運行結果類型

    在Pytest中,測試函數可能會返回多種結果,不像傳統的單元測試框架,僅顯示經過和失敗。如下是可能返回的結果:測試

  • PASSED(.)

測試經過。預期成功,實際成功字體

  • F(FAILED)

表示測試未經過,也多是XPASS狀態與strict選項形成的衝突。預期成功,實際失敗

  • SKIPPED(s)

測試函數未執行,即該運行測試時跳過該測試函數,經常使用測試標記@pytest.mark.skip()@pytest.mark.skipif()指定跳過測試的條件

  • xfail(x)

指望測試失敗,並且確實失敗。經常使用測試標記@pytest.mark.xfail()來指定認爲會失敗的測試函數。預期失敗,實際失敗

  • XPASS(X)

指望測試失敗,但實際結果倒是運行經過,即不符合預期。預期失敗,實際成功

  • ERROR(E)

運行測試函數時,出現異常或錯誤,可能由fixture引發

3.3 Pytest命令行參數

    不少時候,運行單元測試框架並不須要界面,更多的時候採用命令行的形式執行,pytest也提供不少的命令行參數,獲取命令行參數幫助以下所示:

pytest --help

usage: pytest [options] [file_or_dir] [file_or_dir] [...]

positional arguments:
  file_or_dir
general:
 -x, --exitfirst       exit instantly on first error or failed test.

    下面來學習一些經常使用的命令行參數

3.3.1 --collect-only

    該參數僅收集測試函數,但並不執行運行操做。以下所示:

C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01>pytest --collect-only
============================= test session starts ================
platform win32 -- Python 3.7.6, pytest-5.4.2, py-1.8.1, pluggy-0.13.1
rootdir: C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01
collected 3 items
<Module test_01.py>
  <Function test_add_01>
  <Function test_add_02>
<Module test_02.py>
  <Function test_requestBaidu>

3.3.2 -k Expression

    -k選項容許使用表達式來指按期望運行的測試函數。經常使用於篩選要進行運行的測試函數。在如下示例中,僅運行當前及其子目錄中測試函數名含request或temp的測試函數,源代碼以下所示:

  • test_01.py
import pytest

# First of sample function
def Add(x:int,y:int)->int:
    return x+y

# First of test function
def test_add_01():
    assert Add(2,3)==5

def test_add_02():
    assert Add(3,4)==6

def test_request_01():
    assert Add(4,3)==7

def test_temp_01():
    assert Add(8,3)==11
  • test_02.py
import requests

import  pytest

url = "http://www.baidu.com"
port = 80

def test_requestBaidu():
    testUrl=f"{url}:{port}"
    r=requests.get(url=testUrl,timeout=10)
    content=r.content.decode("utf8")
    print(content)
    assert "bai" in content
如下先驗證篩選的結果是否正確:

C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01>pytest -k "request or temp" --collect-only
============================== test session starts =======================================
platform win32 -- Python 3.7.6, pytest-5.4.2, py-1.8.1, pluggy-0.13.1
rootdir: C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01
collected 5 items / 2 deselected / 3 selected
<Module test_01.py>
  <Function test_request_01>
  <Function test_temp_01>
<Module test_02.py>
  <Function test_requestBaidu>
=========================== 2 deselected in 2.36s =================================

實際運行結果:

C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01>pytest -k "request or temp" -v
======================== test session starts ======================================
platform win32 -- Python 3.7.6, pytest-5.4.2, py-1.8.1, pluggy-0.13.1 -- d:\program files\python\python.exe
cachedir: .pytest_cache
rootdir: C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01
collected 5 items / 2 deselected / 3 selected
test_01.py::test_request_01 PASSED                                            [ 33%]
test_01.py::test_temp_01 PASSED                                               [ 66%]
test_02.py::test_requestBaidu PASSED                                          [100%]
====================== 3 passed, 2 deselected in 0.52s ==============================

3.3.3 -m MarkExpr

    該選項經常使用於標記測試並分組,方便快速運行選中的測試函數,具體的標記能夠自定義,可使用裝飾器@pytest.mark。示例以下:

  • test_01.py
import pytest

# First of sample function
def Add(x:int,y:int)->int:
    return x+y

@pytest.mark.TestMark
# First of test function
def test_add_01():
    assert Add(2,3)==5

def test_add_02():
    assert Add(3,4)==6

@pytest.mark.RunThisTestFunc
def test_request_01():
    assert Add(4,3)==7

def test_temp_01():
    assert Add(8,3)==11
  • test_01.py
import requests
import  pytest

url = "http://www.baidu.com"
port = 80

@pytest.mark.RunThisTestFunc
def test_requestBaidu():
    testUrl=f"{url}:{port}"
    r=requests.get(url=testUrl,timeout=10)
    content=r.content.decode("utf8")
    print(content)
    assert "bai" in content

運行結果以下所示:

C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01>pytest -m "RunThisTestFunc or not TestMark" --collect-only
=========================== test session starts ====================================
platform win32 -- Python 3.7.6, pytest-5.4.2, py-1.8.1, pluggy-0.13.1
rootdir: C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01
collected 5 items / 1 deselected / 4 selected
<Module test_01.py>
  <Function test_add_02>
  <Function test_request_01>
  <Function test_temp_01>
<Module test_02.py>
  <Function test_requestBaidu>  
C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01>pytest -m "RunThisTestFunc or not TestMark" -v
========================== test session starts =======================================
platform win32 -- Python 3.7.6, pytest-5.4.2, py-1.8.1, pluggy-0.13.1 -- d:\program files\python\python.exe
cachedir: .pytest_cache
rootdir: C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01
collected 5 items / 1 deselected / 4 selected
test_01.py::test_add_02 FAILED                                                                   [ 25%]
test_01.py::test_request_01 PASSED                                                               [ 50%]
test_01.py::test_temp_01 PASSED                                                                  [ 75%]
test_02.py::test_requestBaidu PASSED                                                             [100%]

3.3.4 -x, --exitfirst

    正常狀況下,pytest會運行每個搜索到的測試函數,若是某個測試函數斷言失敗或觸發了異常,則該測試函數的運行就中止了,此時pytest會將其標記爲失敗,而後繼續運行後續的測試函數,這也是咱們指望的運行模式。那若是咱們但願在某一個測試函數在運行失敗,則中斷再也不運行後續的測試函數,此時就可使用-x選項。

C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01>pytest -x
========================== test session starts =========================================
platform win32 -- Python 3.7.6, pytest-5.4.2, py-1.8.1, pluggy-0.13.1
rootdir: C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01
collected 6 items
test_01.py .F
=============================== FAILURES ==========================================
_____________________________________________________ test_add_02 _____________________________________________________
    def test_add_02():
>       assert Add(3,4)==6
E       assert 7 == 6
E        +  where 7 = Add(3, 4)
test_01.py:13: AssertionError
==================== 1 failed, 1 passed, 3 warnings in 0.32s =========================

從輸出的信息能夠看出,總共有6個測試函數,而在運行第2個測試函數,斷言失敗,則中止整個運行過程,所以,僅運行了2個測試函數,一個測試經過,一個測試失敗。

3.3.5 --maxfail=num

    -x選項的特色是一遇到失敗,就會直接所有中止。而若是想要pytest在失敗n次後再中止,則可經過選項-maxfail指定容許失敗的次數。

import pytest

# First of sample function
def Add(x:int,y:int)->int:
    return x+y

@pytest.mark.TestMark
# First of test function
def test_add_01():
    assert Add(2,3)==5

def test_add_02():
    assert Add(3,4)==6

@pytest.mark.RunThisTestFunc
def test_request_01():
    assert Add(4,3)==7

def test_temp_01():
    assert Add(8,3)==12

運行結果以下所示:

C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01>pytest --maxfail=2
=============================== test session starts =====================================
platform win32 -- Python 3.7.6, pytest-5.4.2, py-1.8.1, pluggy-0.13.1
rootdir: C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01
collected 6 items
test_01.py .F.F
================================= FAILURES ==========================================
_________________________________ test_add_02 __________________________________________
    def test_add_02():
>       assert Add(3,4)==6
E       assert 7 == 6
E        +  where 7 = Add(3, 4)
test_01.py:13: AssertionError
________________________________ test_temp_01 _________________________________________
    def test_temp_01():
>       assert Add(8,3)==12
E       assert 11 == 12
E        +  where 11 = Add(8, 3)
test_01.py:20: AssertionError
====================== 2 failed, 2 passed, 3 warnings in 0.35s =========================

若是--maxfail=1,則功能與-x同樣

3.3.6 --lf --last-failed

    當一個或多個測試函數運行失敗後,咱們經常但願可以定位到最後一個運行失敗的測試函數,而且但願能從新運行,這時則可使用--lf選項

C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01>pytest --lf
============================== test session starts ====================================
platform win32 -- Python 3.7.6, pytest-5.4.2, py-1.8.1, pluggy-0.13.1
rootdir: C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01
collected 4 items / 2 deselected / 2 selected
run-last-failure: rerun previous 2 failures (skipped 3 files)
test_01.py FF                                                                                        [100%]

=================================== FAILURES ==========================================
____________________________ test_add_02 ________________________________________
    def test_add_02():
>       assert Add(3,4)==6
E       assert 7 == 6
E        +  where 7 = Add(3, 4)
test_01.py:13: AssertionError
_____________________________________test_temp_01 _________________________________________
    def test_temp_01():
>       assert Add(8,3)==12
E       assert 11 == 12
E        +  where 11 = Add(8, 3)
test_01.py:20: AssertionError
==================== 2 failed, 2 deselected, 2 warnings in 0.13s =============================

3.3.7 --ff --failed-first

    --ff選項與--lf選項功能基本相同,不一樣之處以下所示:

--ff 先運行上次失敗的測試函數再運行完剩餘的測試函數
--lf 僅運行上次失敗的測試函數

C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01>pytest --ff
=============================== test session starts =======================================
platform win32 -- Python 3.7.6, pytest-5.4.2, py-1.8.1, pluggy-0.13.1
rootdir: C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01
collected 6 items
run-last-failure: rerun previous 2 failures first
test_01.py FF..                                                                           [ 66%]
test_02.py .                                                                              [ 83%]
test_03.py .                                                                              [100%]
================================= FAILURES ======================================
______________________________________test_add_02 ____________________________________________
    def test_add_02():
>       assert Add(3,4)==6
E       assert 7 == 6
E        +  where 7 = Add(3, 4)
test_01.py:13: AssertionError
_______________________________________ test_temp_01 _________________________________________
    def test_temp_01():
>       assert Add(8,3)==12
E       assert 11 == 12
E        +  where 11 = Add(8, 3)
test_01.py:20: AssertionError
======================== 2 failed, 4 passed, 3 warnings in 1.88s ======================

3.3.8 -v --verbose

    使用-v/--verbose,經常使用於輸出詳細的運行信息。最主要的區別是每一個文件中的每一個測試函數都佔用一行(以前是每個文件佔用一行),測試的結果和名字都會顯示出來,而再也不在是一個點或字符,以下所示:

C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01>pytest --ff --tb=no -v
======================== test session starts =====================================
platform win32 -- Python 3.7.6, pytest-5.4.2, py-1.8.1, pluggy-0.13.1 -- d:\program files\python\python.exe
cachedir: .pytest_cache
rootdir: C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01
collected 6 items
run-last-failure: rerun previous 2 failures first
test_01.py::test_add_02 FAILED                                                                [ 16%]
test_01.py::test_temp_01 FAILED                                                               [ 33%]
test_01.py::test_add_01 PASSED                                                                [ 50%]
test_01.py::test_request_01 PASSED                                                            [ 66%]
test_02.py::test_requestBaidu PASSED                                                          [ 83%]
test_03.py::test_request PASSED                                                               [100%]
====================== 2 failed, 4 passed, 3 warnings in 0.93s =============================

若是運行是彩色終端,則FAILED爲紅色字體,PASS爲綠色字體。

3.3.9 -q --quiet

    該選項與-v功能相反,該選項會輸出簡化信息,只保留核心信息。以下所示:

C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01>pytest --ff --tb=line -q
FF....                                                                                        [100%]
======================================== FAILURES ====================================
C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01\test_01.py:13: assert 7 == 6
C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01\test_01.py:20: assert 11 == 12
2 failed, 4 passed, 3 warnings in 1.34s

3.3.10 --tb=style

    --tb參數主要決定捕捉到失敗後的輸出信息的顯示方式。其可選值爲 auto/long/short/line/native/no,其經常使用模式解釋以下:

  • auto模式:默認值,若是有多個測試函數失敗,僅打印第一個和最後一個用例的回溯信息
  • long模式:輸出的信息最詳細
  • short模式:僅輸出assert的一行及系統斷定內容,不顯示上下文
  • line模式:只使用一行輸出顯示全部的錯誤信息
  • native模式:只輸出Python標準庫的回溯信息,不顯示額外信息
  • no模式:直接屏蔽所有回溯信息

    以上模式經常使用模式爲:short/line/no

某個測試函數運行失敗後,pytest會列舉出失敗信息,包括失敗出如今哪一行,什麼緣由致使的失敗,該過程稱之爲信息回溯

示例以下所示:

C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01>pytest -v --tb=line
============================ test session starts ================================
platform win32 -- Python 3.7.6, pytest-5.4.2, py-1.8.1, pluggy-0.13.1 -- d:\program files\python\python.exe
cachedir: .pytest_cache
rootdir: C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01
collected 6 items
test_01.py::test_add_01 PASSED                                                              [ 16%]
test_01.py::test_add_02 FAILED                                                              [ 33%]
test_01.py::test_request_01 PASSED                                                          [ 50%]
test_01.py::test_temp_01 FAILED                                                             [ 66%]
test_02.py::test_requestBaidu PASSED                                                        [ 83%]
test_03.py::test_request PASSED                                                             [100%]
==================================== FAILURES ==========================================
C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01\test_01.py:13: assert 7 == 6
C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01\test_01.py:20: assert 11 == 12
========================= 2 failed, 4 passed, 3 warnings in 2.10s ===========================

3.3.11 --durations=N

    --durations=N 該選項不關注測試具體的運行過程,只統計測試過程當中哪向個階段最慢,所以使用該選項能夠加快測試分節奏,顯示運行最慢的N個階段,耗時越長越靠前,若是--durations=0,則將全部階段的耗時從長到短排序後顯示。示例以下所示:

C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01>pytest  --durations=3  --tb=line -v
============================test session starts ==========================================
platform win32 -- Python 3.7.6, pytest-5.4.2, py-1.8.1, pluggy-0.13.1 -- d:\program files\python\python.exe
cachedir: .pytest_cache
rootdir: C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01
collected 6 items
test_01.py::test_add_01 PASSED                                                              [ 16%]
test_01.py::test_add_02 FAILED                                                              [ 33%]
test_01.py::test_request_01 PASSED                                                          [ 50%]
test_01.py::test_temp_01 FAILED                                                             [ 66%]
test_02.py::test_requestBaidu PASSED                                                        [ 83%]
test_03.py::test_request PASSED                                                             [100%]
=============================== FAILURES =========================================
C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01\test_01.py:13: assert 7 == 6
C:\Users\Surpass\PycharmProjects\PytestStudy\Lesson01\test_01.py:20: assert 11 == 12
=============================== warnings summary ======================================
================================ slowest 3 test durations =================================
0.50s call     test_03.py::test_request
0.06s call     test_02.py::test_requestBaidu
(0.00 durations hidden.  Use -vv to show these durations.)
======================= 2 failed, 4 passed, 3 warnings in 0.93s ===========================

3.3.12 -h --help

    以上僅僅是經常使用的一些選項,更多選項可經過-h或--help來進行查看,經過該選項不但能展現原生pytest的用法,還能展現新添加插件的選項和用法。

原文地址:https://www.cnblogs.com/surpassme/p/13252310.html

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