When we run a command like python --version from CLI, Windows looks for python.exe from the “Environment Variables”, specifically checks the PATH variable. If you want to know from where the executable got resolved, you can use a handy utility called where.exe:
Of course, we can where the where🙂
Happy coding!
Visual Studio Code is a pretty convenient code editor which comes with many awesome features. One of those is the in-built html5 template, which can be accessed real quick:
Just type in html:5 and hit the tab:
Goal of this post is to write a short test using Pytest.
Tool/prerequisites we are going to use: Visual Studio Code (or any file editor), python 3+.
GitRepo is available here.
Testing is and will be essential when coding. To make our life easier, developers created many frameworks and helpers to quickly achieve high code coverage. One well know library for Python is Pytest, which we are going to use in this article.
Start a new project/folder using your favorite editor and create a requirements file for PIP, we are going to use test_requirements.txt. Add our only dependency:
pytestInstall our dependency with the following command (running from the folder where the test_requirements.txt is):
pip install -r test_requirements.txtNow we can add our code file with the name basic_calculator.py:
def sum(numberOne: int, numberTwo: int):
return numberOne + numberTwo
It doesn’t do anything fancy, just sums two number.
Now comes the test. Add a new file called test_basic_calculator.py:
import basic_calculator
class TestHandler:
def test_sum_one(self):
sum = basic_calculator.sum(2,3)
assert sum == 5
def test_sum_two(self):
sum = basic_calculator.sum(66,55)
assert sum == 121We are done with coding, let’s run our test (give the following command from folder):
python -m pytestThe result should be something similar to this:
What happened here? We asked python to run the module called pytest in the working folder. Pytest then searches for filenames which start with “test_” and looks for classes starting with “Test” containing function names starting with “test”.
Narrowing down the test scope
We might want to run test only on one file, to do so we can specify it by name:
python -m pytest ./test_basic_calculator.pyThere are further options as well
Run only one class in a file:
python -m pytest ./test_basic_calculator.py -k "Test_Handler"or
python -m pytest ./test_basic_calculator.py::Test_HandlerIf you only want to run one test in a class:
python -m pytest ./test_basic_calculator.py -k "Test_Handler and test_sum_one"or
python -m pytest ./test_basic_calculator.py::Test_Handler::test_sum_oneHappy coding!
We can store AWS profile data in a configuration file under C:\Users\{userName}\.aws\credentials like following:
[profile1]
aws_access_key_id=x
aws_secret_access_key=y
region=eu-west-1
aws_region=eu-west-1
[profil2]
aws_access_key_id=xy
aws_secret_access_key=zk
region=eu-west-1
aws_region=eu-west-1We can easily rotate between them using the following command:
setx AWS_PROFILE profil1To see which profile is currently selected use this code:
aws configure listNote: As the above logic uses environment variable to save and read the currently selected profile, we need to restart applications to the update take effect.
I am quite new to python programming but happy to use it for quick test cases like API calls or file operations. To run these scenarios I run them in different ways:
From file
One of the easiest way to call your script is to store them in a file and make python run them:
print('I am run from a file!')content of run-me.py
Run it from command line:
python run-me.py
From inline command line
If you don’t want to save your code to a file, you can run it from inline:
python -c "print('I am from inline command line')"
From inline command line, multi line
Normally python code is segmented by new lines and indentation, but inline we can separate commands by semicolons:
