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pytest-cov setup

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Introduction

We use pytest-cov to check how much of our code is tested. It helps find parts that need more tests.

You want to see which parts of your code are tested by your tests.
You want to improve your test coverage to catch more bugs.
You need to generate a coverage report for your project.
You want to check coverage automatically during continuous integration.
You want to find untested code before releasing your software.
Syntax
PyTest
pip install pytest-cov

pytest --cov=your_package_name

# Optional: generate HTML report
pytest --cov=your_package_name --cov-report=html

Replace your_package_name with the folder or module you want to check coverage for.

The --cov-report=html option creates a nice report you can open in a browser.

Examples
This installs the pytest-cov plugin so pytest can measure coverage.
PyTest
pip install pytest-cov
Runs tests and shows coverage for the myapp folder in the terminal.
PyTest
pytest --cov=myapp
Runs tests, shows coverage, and creates an HTML report in the htmlcov folder.
PyTest
pytest --cov=myapp --cov-report=html
Sample Program

This simple test checks the add function. Running pytest with coverage shows which lines ran.

PyTest
# test_sample.py

def add(a, b):
    return a + b

def test_add():
    assert add(2, 3) == 5

# Run in terminal:
# pytest --cov=. --cov-report=term-missing
OutputSuccess
Important Notes

Always install pytest-cov in the same environment where you run pytest.

Use --cov-report=term-missing to see which lines are not covered in the terminal.

Coverage reports help you find untested code to improve your tests.

Summary

pytest-cov measures how much code your tests cover.

Install it with pip install pytest-cov and run pytest with --cov.

You can create reports in the terminal or as HTML files.

Practice

(1/5)
1. What is the main purpose of using pytest-cov in testing?
easy
A. To speed up test execution time
B. To measure how much of your code is tested by your tests
C. To automatically fix failing tests
D. To generate test data automatically

Solution

  1. Step 1: Recall pytest-cov's core function

    pytest-cov is a plugin that tracks which parts of your code are executed during tests.
  2. Step 2: Eliminate incorrect options

    Only To measure how much of your code is tested by your tests correctly describes coverage measurement, others describe unrelated features.
  3. Final Answer:

    To measure how much of your code is tested by your tests -> Option B
  4. Quick Check:

    pytest-cov measures coverage = A [OK]
Hint: Remember: cov means coverage, it shows tested code parts [OK]
Common Mistakes:
  • Confusing coverage with test speed
  • Thinking pytest-cov fixes tests
  • Assuming it generates test data
2. Which command correctly installs the pytest-cov plugin?
easy
A. pip install pytest-cov
B. pip install pytest_cov
C. pip install pytestcov
D. pip install pytest coverage

Solution

  1. Step 1: Recall the exact package name

    The official package name is 'pytest-cov' with a hyphen.
  2. Step 2: Compare options with correct spelling

    Only pip install pytest-cov matches the correct package name and syntax.
  3. Final Answer:

    pip install pytest-cov -> Option A
  4. Quick Check:

    Correct package name = B [OK]
Hint: Use hyphen, not underscore or spaces in package name [OK]
Common Mistakes:
  • Using underscore instead of hyphen
  • Adding spaces in package name
  • Misspelling the package name
3. What will be the output when running pytest --cov=my_module if all code in my_module is covered by tests?
medium
A. Tests will fail automatically
B. An error saying coverage data not found
C. No coverage report is shown
D. A coverage report showing 100% coverage for my_module

Solution

  1. Step 1: Analyze the pytest --cov command

    The command runs tests and measures coverage for 'my_module'.
  2. Step 2: Determine output for 100% coverage

    If all code is tested, coverage report shows 100% coverage.
  3. Final Answer:

    A coverage report showing 100% coverage for my_module -> Option D
  4. Quick Check:

    Full coverage means 100% report = A [OK]
Hint: Full coverage means report shows 100% coverage [OK]
Common Mistakes:
  • Expecting errors when coverage is full
  • Thinking coverage report is hidden by default
  • Assuming tests fail if coverage is 100%
4. You run pytest --cov=my_module --cov-report=html but no HTML report is generated. What is the most likely cause?
medium
A. You forgot to install pytest-cov plugin
B. You did not specify the module name correctly
C. The HTML report is generated in a different folder
D. The tests did not run at all

Solution

  1. Step 1: Check common reasons for missing HTML report

    pytest-cov generates HTML reports in a folder named 'htmlcov' by default.
  2. Step 2: Understand report location

    The report is generated but may be in a folder you did not check.
  3. Final Answer:

    The HTML report is generated in a different folder -> Option C
  4. Quick Check:

    HTML report folder = C [OK]
Hint: Check 'htmlcov' folder for HTML report after running tests [OK]
Common Mistakes:
  • Assuming plugin is not installed without checking
  • Thinking report is shown in terminal only
  • Believing tests must fail to generate report
5. You want to measure coverage for multiple modules mod1 and mod2 and generate both terminal and HTML reports. Which command is correct?
hard
A. pytest --cov=mod1,mod2 --cov-report=term --cov-report=html
B. pytest --cov=mod1 --cov-report=term --cov=mod2 --cov-report=term
C. pytest --cov=mod1 mod2 --cov-report=term,html
D. pytest --cov=mod1 --cov=mod2 --cov-report=term --cov-report=term

Solution

  1. Step 1: Understand multiple module coverage syntax

    pytest-cov accepts multiple modules separated by commas in a single --cov option.
  2. Step 2: Understand multiple report formats syntax

    Multiple reports are specified by repeating the --cov-report flag, e.g., --cov-report=term --cov-report=html.
  3. Final Answer:

    pytest --cov=mod1,mod2 --cov-report=term --cov-report=html -> Option A
  4. Quick Check:

    Comma for modules, repeat --cov-report = D [OK]
Hint: Use commas to list modules in one --cov option [OK]
Common Mistakes:
  • Using multiple --cov options instead of comma separation
  • Combining modules without commas
  • Incorrectly combining report types in one option