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Pytest-ing Cheat Sheet by

Pytest and coverage Tool

py.test <fi­les>
Run py.test tool
 
--maxf­ail=X
Exit after failing X tests
 
--dura­tio­ns=10
Use this to Profile your tests (time taken)
 
--cov=path
Run 
coverage
within the project 
path
 
--cov-­report term-m­issing
Add this to show which lines were not covered
Packages to install:
pip install pytest

pip install pytest­-sugar

pip install pytest-cov

Pytest with Flask

client = app.te­st_­cli­ent()
Gives you an 
Test Client
object
 
client.ge­t(url)
Makes a GET request
 
client.po­st(url, data=[])
Makes a POST request
 
client.pu­t(url, data=[])
Makes a PUT request
You can create a test client to test your Flask app

Coverage Config­uration File

.cover­agerc
Default filename looked for
 
[report]
Section defining the report
 
exclud­e_lines =
Exclude lines defined after
Write after 
exclud­e_lines =
the lines as they are in Python code
  

Fixture

@pytes­t.f­ixt­ure()
Fixture decorator
 
scope=­"­ses­sio­n"
Scope for the fixture: Can be 
session
, 
module
, 
class
or 
function
 
params=[]
For each value, the fixture will be called with that value (this makes multiple calls)
 
autous­e=False
All tests in the session use the fixture automa­tically
 
def my_fix­tur­e(r­equest)
Putting 
request
object in fixture gives you access to the 
pytest request
(e.g. put a 
finalizer
)
 
pytest --fixtures
See all available fixtures
The purpose of test fixtures is to provide a fixed baseline upon which tests can reliably and repeatedly execute.

pytest­-mock

 
In short, mocking is creating objects that simulate the behaviour of real objects.
           
 

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  • Published: 17th July, 2017
  • Last Updated: 20th July, 2017

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