Continuous testing in CI/CD in Testing Fundamentals - Test Execution Trace

Test Overview

This test simulates a continuous testing step in a CI/CD pipeline. It runs automated tests on a sample application build and verifies that all tests pass before allowing deployment.

Test Code - unittest

Testing Fundamentals

import unittest

class SampleAppTests(unittest.TestCase):
    def test_addition(self):
        self.assertEqual(2 + 3, 5)

    def test_string_upper(self):
        self.assertEqual('hello'.upper(), 'HELLO')

if __name__ == '__main__':
    unittest.main()

Execution Trace - 4 Steps

Step	Action	System State	Assertion	Result
1	Test runner starts executing the test suite	CI/CD environment triggers the unittest framework	—	PASS
2	Test runner executes test_addition method	Running test to verify addition logic	Check if 2 + 3 equals 5	PASS
3	Test runner executes test_string_upper method	Running test to verify string uppercase conversion	Check if 'hello'.upper() equals 'HELLO'	PASS
4	Test runner completes all tests and reports results	All tests passed successfully	Verify no test failures or errors	PASS

Failure Scenario

Failing Condition: If any assertion fails during test execution

Execution Trace Quiz - 3 Questions

What does the test_addition method verify in this CI/CD test?

A That 2 plus 3 equals 5

B That 'hello' converts to 'HELLO'

C That the application deploys successfully

D That the test runner starts correctly

Key Result

Continuous testing in CI/CD ensures that automated tests run on every code change, catching errors early and preventing faulty code from reaching production.

Practice

1. What is the main purpose of continuous testing in a CI/CD pipeline?

easy

A. To automatically run tests on every code change

B. To manually test software after deployment

C. To delay testing until the final release

D. To only test code on the developer's machine

Solution

1. Step 1: Understand continuous testing concept

   Continuous testing means running tests automatically during the CI/CD process.

2. Step 2: Identify the purpose in CI/CD

   Its goal is to catch bugs early by testing every code change automatically.

3. Final Answer:

   To automatically run tests on every code change -> Option A

4. Quick Check:

   Continuous testing = automatic tests on code changes [OK]

Hint: Continuous testing means tests run automatically every change [OK]

Common Mistakes:

• Thinking testing is manual only
• Believing tests run after deployment
• Assuming testing happens only once at release

2. Which of the following is the correct syntax to run tests in a simple CI pipeline using a shell command?

easy

A. sh tests.sh

B. run tests.sh

C. execute tests.sh

D. start tests.sh

Solution

1. Step 1: Recall shell command syntax

   To run a shell script, the correct command is 'sh scriptname.sh'.

2. Step 2: Check each option

   sh tests.sh uses 'sh tests.sh' which correctly runs the script. Others are invalid shell commands.

3. Final Answer:

   sh tests.sh -> Option A

4. Quick Check:

   Shell script run = sh script.sh [OK]

Hint: Use 'sh script.sh' to run shell scripts in pipelines [OK]

Common Mistakes:

• Using 'run' or 'start' which are not shell commands
• Forgetting to use 'sh' before script name
• Confusing shell commands with other languages

3. Given this CI pipeline snippet:

steps:
  - name: Run tests
    run: |
      echo "Starting tests"
      pytest tests/
      echo "Tests done"

What will be the output if all tests pass?

medium

A. Starting tests\nTests failed

B. Starting tests\npytest: command not found

C. Starting tests\nTests done

D. Tests done\nStarting tests

Solution

1. Step 1: Analyze the commands in order

   The pipeline runs 'echo "Starting tests"', then 'pytest tests/', then 'echo "Tests done"'.

2. Step 2: Understand output if tests pass

   If pytest runs successfully, it outputs test results but here we focus on echo commands output. So output includes 'Starting tests' then 'Tests done'.

3. Final Answer:

   Starting tests\nTests done -> Option C

4. Quick Check:

   Echo commands print start and done messages [OK]

Hint: Echo commands print messages before and after tests [OK]

Common Mistakes:

• Assuming pytest output is shown instead of echo
• Mixing order of printed lines
• Thinking tests failed without error

4. In a CI pipeline, the test step fails with error: sh: pytest: command not found. What is the most likely cause?

medium

A. The test script has a syntax error

B. The pipeline skipped the test step

C. The tests directory is missing

D. pytest is not installed in the pipeline environment

Solution

1. Step 1: Interpret the error message

   The error 'sh: pytest: command not found' means the shell cannot find the pytest command.

2. Step 2: Identify cause in CI environment

   This usually means pytest is not installed or not in PATH in the pipeline environment.

3. Final Answer:

   pytest is not installed in the pipeline environment -> Option D

4. Quick Check:

   Command not found = missing installation [OK]

Hint: Command not found means tool missing or not installed [OK]

Common Mistakes:

• Assuming syntax error causes command not found
• Thinking missing tests directory causes this error
• Believing pipeline skipped the step without error

5. You want to add continuous testing to your CI/CD pipeline so tests run only if code changes affect the src/ directory. Which approach best achieves this?

hard

A. Run tests on every pipeline run regardless of changes

B. Configure the pipeline to run tests only when files in src/ change

C. Run tests only after deployment to production

D. Manually trigger tests after code review

Solution

1. Step 1: Understand conditional testing in CI/CD

   To save time, tests should run only when relevant code changes occur.

2. Step 2: Apply file path filters in pipeline configuration

   Configuring the pipeline to detect changes in src/ and run tests only then is the best approach.

3. Final Answer:

   Configure the pipeline to run tests only when files in src/ change -> Option B

4. Quick Check:

   Run tests conditionally based on changed files [OK]

Hint: Run tests only if relevant files change to save time [OK]

Common Mistakes:

• Running tests every time wastes resources
• Testing only after deployment delays bug detection
• Manual triggers reduce automation benefits