unit-tests

name	unit-tests
description	Write pytest tests using Test-Driven Development (TDD). Use when implementing features, fixing bugs, or when the user mentions testing, TDD, or pytest. Tests should be written BEFORE implementation code.
allowed-tools	Read, Grep, Glob, Write, Edit, Bash

Test-Driven Development (TDD)

This Skill helps implement features and fix bugs using Test-Driven Development, following the Red-Green-Refactor cycle.

TDD Philosophy

Write tests BEFORE writing implementation code.

TDD is not just about testing - it's a design and development methodology:

• Tests define the behavior you want
• Implementation fulfills that behavior
• Refactoring improves the design while keeping behavior intact

The Red-Green-Refactor Cycle

1. RED - Write a Failing Test

Write the smallest possible test that fails because the functionality doesn't exist yet.

Key principle: The test MUST fail initially. If it passes without implementation, the test is wrong.

import pytest
from student_management.models import Student

@pytest.mark.django_db
def test_student_full_name(mock_site_context):
    """Test that student has a full_name property."""
    student = Student.objects.create(
        first_name="Jane",
        last_name="Smith",
        email="[e-mail]"
    )
    # This will fail because full_name doesn't exist yet
    assert student.full_name == "Jane Smith"

Run the test and verify it fails:

pytest path/to/test_file.py::test_student_full_name -v

2. GREEN - Write Minimal Code to Pass

Write the SIMPLEST code that makes the test pass. Don't over-engineer.

# In models.py
class Student(SiteAwareModel):
    first_name = models.CharField(max_length=100)
    last_name = models.CharField(max_length=100)
    email = models.EmailField()

    @property
    def full_name(self):
        return f"{self.first_name} {self.last_name}"

Run the test and verify it passes, and make sure nothing else broke

pytest path/to/test_file.py::test_student_full_name -v
pytest

3. REFACTOR - Improve the Design

Now that tests are passing, refactor for clarity, performance, or design. Tests ensure you don't break anything.

# Maybe you decide to add .strip() for safety
@property
def full_name(self):
    return f"{self.first_name.strip()} {self.last_name.strip()}"

Run the test again to ensure it still passes:

pytest path/to/test_file.py::test_student_full_name -v

pytest

4. REPEAT

Add the next test and repeat the cycle. Build functionality incrementally.

TDD Workflow for New Features

Step 1: Understand the Requirement

Read or clarify what needs to be built:

• What models/views/utilities are needed?
• What's the expected behavior?
• What are the edge cases?

Step 2: Write One Failing Test

CRITICAL: Write ONE test at a time (project convention).

Create or open the test file:

• Location: freedom_ls/<app_name>/tests/test_<module_name>.py
• Naming: test_<what_is_being_tested>.py

Write a test that describes the desired behavior:

import pytest
from content_engine.models import Course

@pytest.mark.django_db
def test_course_enrollment_count(mock_site_context):
    """Test that course can count enrolled students."""
    course = Course.objects.create(title="Python 101")
    # This will fail - enrollment_count doesn't exist
    assert course.enrollment_count == 0

Step 3: Run the Test and Watch it Fail

pytest freedom_ls/content_engine/tests/test_course.py::test_course_enrollment_count -v

Verify the failure is what you expect:

• AttributeError: 'Course' object has no attribute 'enrollment_count' ✓
• Not some other error

Step 4: Write Minimal Implementation

Add just enough code to make the test pass:

# In models.py
class Course(TitledContent):
    # ... existing fields ...

    @property
    def enrollment_count(self):
        return 0  # Simplest implementation

Step 5: Run the Test and Watch it Pass

pytest freedom_ls/content_engine/tests/test_course.py::test_course_enrollment_count -v

Step 6: Refactor if Needed

The implementation is too simple. Add another test to drive the real behavior:

@pytest.mark.django_db
def test_course_enrollment_count_with_students(mock_site_context):
    """Test that course counts enrolled students correctly."""
    course = Course.objects.create(title="Python 101")
    student1 = Student.objects.create(first_name="Jane", last_name="Doe", email="[e-mail]")
    student2 = Student.objects.create(first_name="John", last_name="Doe", email="[e-mail]")

    StudentCourseRegistration.objects.create(student=student1, course=course)
    StudentCourseRegistration.objects.create(student=student2, course=course)

    assert course.enrollment_count == 2

Run it - it fails. Now implement properly:

@property
def enrollment_count(self):
    return self.studentcourseregistration_set.count()

Run both tests - they both pass. ✓

Step 7: Repeat

Add the next test for the next piece of functionality. Build incrementally.

TDD Workflow for Bug Fixes

When fixing bugs, use TDD to ensure the bug stays fixed.

Step 1: Understand the Bug

• Read the code to understand what's happening
• Identify the specific buggy behavior
• Check for existing tests

Step 2: Write a Test that Exposes the Bug

The test should FAIL because the bug exists:

@pytest.mark.django_db
def test_student_registration_prevents_duplicates(mock_site_context):
    """Test that students cannot register for the same course twice."""
    course = Course.objects.create(title="Python 101")
    student = Student.objects.create(first_name="Jane", last_name="Doe", email="[e-mail]")

    StudentCourseRegistration.objects.create(student=student, course=course)

    # This should raise an error but currently doesn't (the bug)
    with pytest.raises(ValidationError):
        StudentCourseRegistration.objects.create(student=student, course=course)

Step 3: Run the Test - It Should FAIL

pytest freedom_ls/student_management/tests/test_registration.py::test_student_registration_prevents_duplicates -v

Expected failure: The test fails because no ValidationError is raised (the bug).

DO NOT CONTINUE until you have a failing test. The failing test proves the bug exists.

Step 4: Fix the Bug

Add the minimal code to fix the issue:

# In models.py
class StudentCourseRegistration(SiteAwareModel):
    student = models.ForeignKey(Student, on_delete=models.CASCADE)
    course = models.ForeignKey(Course, on_delete=models.CASCADE)

    class Meta:
        unique_together = [['student', 'course', 'site']]  # Fix the bug

Step 5: Run the Test - It Should PASS

pytest freedom_ls/student_management/tests/test_registration.py::test_student_registration_prevents_duplicates -v

Step 6: Run ALL Tests

Ensure the fix didn't break anything:

pytest

Project-Specific Testing Patterns

Site-Aware Models Testing

All models in this project are site-aware. When testing models that require site context, always use the mock_site_context fixture:

@pytest.mark.django_db
def test_student_creation(mock_site_context):
    student = Student.objects.create(
        first_name="John",
        last_name="Doe",
        email="[e-mail]"
    )
    assert student.site is not None

There is no need to explicitly set the site if mock_site_context is being used.

BAD (unnecessary complexity):

def test_student_creation(live_server_site):
    student = Student.objects.create(
        first_name="John",
        last_name="Doe",
        email="[e-mail]",
        site=live_server_site.site  # Don't do this
    )

This is bad because it spins up a whole server to get access to a Site object that we don't need.

Fixtures

Common fixtures are in conftest.py.

If you make new fixtures that are likely to be reused, put them in conftest.py.

Import Pattern

Apps are inside the freedom_ls/ directory but it's on the PATH. Leave out the freedom_ls part:

# CORRECT
from content_engine.models import Course
from student_management.models import Student

# INCORRECT
from freedom_ls.content_engine.models import Course
from freedom_ls.student_management.models import Student

Test Structure Templates

Model Tests

import pytest
from <app_name>.models import ModelName

@pytest.mark.django_db
def test_model_method(mock_site_context):
    """Test a specific model method."""
    instance = ModelName.objects.create(field1="value")
    result = instance.some_method()
    assert result == expected_value

View/API Tests

import pytest
from django.test import Client
from django.urls import reverse

@pytest.mark.django_db
def test_api_endpoint(client, user, mock_site_context):
    """Test API endpoint returns expected response."""
    client.force_login(user)
    response = client.get(reverse('app:endpoint-name'))
    assert response.status_code == 200
    result = response.json()
    assert result == expected_data  # Always be explicit

Utility Function Tests

import pytest
from <app_name>.utils import utility_function

def test_utility_function():
    """Test utility function with various inputs."""
    result = utility_function(input_value)
    assert result == expected_output

Testing Edge Cases

@pytest.mark.django_db
def test_full_name_with_empty_first_name(mock_site_context):
    """Test full_name when first_name is empty."""
    student = Student.objects.create(
        first_name="",
        last_name="Doe",
        email="[e-mail]"
    )
    assert student.full_name == " Doe"  # Be explicit about expected behavior

Testing Error Cases

@pytest.mark.django_db
def test_registration_requires_student(mock_site_context):
    """Test that registration cannot be created without a student."""
    course = Course.objects.create(title="Python 101")

    with pytest.raises(IntegrityError):
        StudentCourseRegistration.objects.create(
            student=None,  # Should fail
            course=course
        )

Test Best Practices

Writing Good Tests

• Use descriptive test names that explain what is being tested
• Include docstrings explaining the test's purpose
• Use @pytest.mark.django_db for tests that touch the database
• Use fixtures from conftest.py when available
• Always use mock_site_context for site-aware models
• Keep tests focused - one assertion concept per test
• Write one test at a time (project convention)
• DO NOT include conditionals and branching logic in tests. Test one execution path at a time

Making Assertions

• Be explicit: assert result == [] NOT assert type(result) is list
• No if statements in tests: The code under test is deterministic
• Use pytest.raises for testing exceptions
• Assert on exact values when possible, not just types or truthiness

Test Organization

"""Tests for Student model."""
import pytest
from student_management.models import Student, Cohort


@pytest.mark.django_db
class TestStudentModel:
    """Test suite for Student model."""

    def test_student_creation(self, mock_site_context):
        """Test that students can be created with required fields."""
        student = Student.objects.create(
            first_name="Jane",
            last_name="Smith",
            email="[e-mail]"
        )
        assert student.first_name == "Jane"
        assert student.last_name == "Smith"
        assert student.email == "[e-mail]"
        assert student.site is not None

    def test_student_str_method(self, mock_site_context):
        """Test string representation of Student."""
        student = Student.objects.create(
            first_name="Jane",
            last_name="Smith",
            email="[e-mail]"
        )
        assert str(student) == "Jane Smith"

    def test_student_cohort_relationship(self, mock_site_context):
        """Test that students can be added to cohorts."""
        cohort = Cohort.objects.create(name="2024 Cohort")
        student = Student.objects.create(
            first_name="Jane",
            last_name=,
            email=
        )
        student.cohorts.add(cohort)
         student.cohorts.count() == 
         cohort  student.cohorts.()

Running Tests

Run Specific Test

pytest path/to/test_file.py::test_name -v

Run Test File

pytest freedom_ls/student_management/tests/test_models.py -v

Run All Tests

pytest

Run Tests with Output

pytest -v  # verbose
pytest -s  # show print statements
pytest -vv  # very verbose

Run Tests Matching Pattern

pytest -k "student" -v  # runs all tests with "student" in the name

Test Coverage Checklist

For each feature, write tests covering:

• Happy path: Normal expected usage
• Edge cases: Empty values, None, boundary conditions
• Error cases: Invalid inputs, missing required fields
• Business logic: Custom methods, calculated properties
• Relationships: Foreign keys, M2M relationships (for site-aware models)
• Permissions: Access control if applicable

TDD approach: Write these tests BEFORE implementing. Each test drives the next piece of implementation.

When to Use This Skill

Use this Skill when:

• Implementing new features - Write tests first, then implement
• Fixing bugs - Write failing test, then fix
• User mentions "TDD", "test", "pytest"
• Adding functionality - Use TDD to design it
• Refactoring code - Ensure tests pass throughout

TDD Benefits

• Better design: Tests force you to think about interfaces first
• Confidence: Comprehensive test coverage from the start
• Documentation: Tests show how code should be used
• Regression prevention: Bugs can't resurface
• Faster debugging: Failures are caught immediately

Legacy Code (Testing Existing Code)

Sometimes you need to add tests to existing code that wasn't built with TDD.

Workflow

1. Read the code to understand what it does
2. Check existing tests to follow established patterns
3. Create test file if it doesn't exist: freedom_ls/<app_name>/tests/test_<module_name>.py
4. Write tests one at a time for existing behavior
5. Run each test to verify it works
6. Continue until coverage is sufficient

Example

# Existing code in models.py (already written)
class Student(SiteAwareModel):
    first_name = models.CharField(max_length=100)
    last_name = models.CharField(max_length=100)

    def get_full_name(self):
        return f"{self.first_name} {self.last_name}"

# Write test for existing method
@pytest.mark.django_db
def test_get_full_name(mock_site_context):
    """Test existing get_full_name method."""
    student = Student.objects.create(
        first_name="Jane",
        last_name="Smith",
        email="[e-mail]"
    )
    assert student.get_full_name() == "Jane Smith"

This is acceptable for legacy code, but prefer TDD for all new work.

Quick TDD Reference

1. ❌ RED: Write failing test
2. ✅ GREEN: Make it pass with minimal code, make sure all the other tests pass too!
3. ♻️ REFACTOR: Improve design while keeping tests green
4. 🔁 REPEAT: Next test, next feature

Remember: Tests come FIRST. Implementation comes SECOND.