Setup Pytest Fixtures

Purpose

Creates pytest fixtures following project-watch-mcp patterns: factory fixtures for customization, async fixtures for async code, centralized organization in tests/utils/, and proper conftest.py hierarchy.

Quick Start

Create a basic fixture:

python

import pytest

@pytest.fixture
def mock_settings():
    """Create mock settings for testing."""
    settings = MagicMock()
    settings.project = MagicMock()
    settings.project.project_name = "test_project"
    return settings

Create a factory fixture:

python

@pytest.fixture
def mock_settings_factory():
    """Factory for custom mock settings."""
    def create_settings(**kwargs):
        settings = MagicMock()
        settings.project = MagicMock()
        settings.project.project_name = kwargs.get("project_name", "test_project")
        return settings
    return create_settings

Instructions

Step 1: Identify Fixture Type

Determine which fixture pattern to use:

Basic Fixture: Simple, reusable test data
- Use for: Constant values, simple mocks
- Example:
```
mock_settings_minimal
```
Factory Fixture: Customizable with parameters
- Use for: Configurable test data, parameterized tests
- Example:
```
mock_settings_factory(**kwargs)
```
Async Fixture: For async operations
- Use for: Async setup/teardown, async resources
- Example:
```
@pytest_asyncio.fixture async def...
```
Scoped Fixture: Shared across multiple tests
- Use for: Expensive setup, session-wide resources
- Example:
```
@pytest.fixture(scope="session")
```

Step 2: Choose Organization Strategy

Centralized Utilities (Recommended for reusable fixtures):

Location:
```
tests/utils/
```

Files:

mock_settings.py

mock_services.py

mock_drivers.py

environmental_helpers.py

Import in:
```
tests/conftest.py
```
to make available project-wide

Local Conftest (For layer-specific fixtures):

Location:

tests/unit/conftest.py

tests/integration/conftest.py

tests/e2e/conftest.py

Use for: Fixtures specific to that test layer

Test File (For test-specific fixtures):

Location: Same file as tests
Use for: One-off fixtures not reused elsewhere

Step 3: Implement Fixture

For Basic Fixtures:

python

import pytest
from unittest.mock import MagicMock

@pytest.fixture
def fixture_name():
    """Clear docstring explaining purpose."""
    # Setup
    obj = MagicMock()
    obj.attribute = "value"

    # Return (no yield for simple fixtures)
    return obj

For Factory Fixtures:

python

@pytest.fixture
def fixture_factory():
    """Factory for custom fixture."""
    def create_fixture(**kwargs):
        """Create fixture with custom attributes.

        Args:
            **kwargs: Attributes to customize

        Returns:
            MagicMock: Configured fixture
        """
        obj = MagicMock()
        obj.attribute = kwargs.get("attribute", "default_value")
        return obj
    return create_fixture

For Async Fixtures:

python

import pytest_asyncio
from collections.abc import AsyncGenerator

@pytest_asyncio.fixture(scope="function")
async def async_fixture() -> AsyncGenerator[Resource, None]:
    """Async fixture with setup and teardown."""
    # Setup
    resource = await create_resource()

    yield resource

    # Teardown
    await resource.close()

For Scoped Fixtures:

python

@pytest.fixture(scope="session")
def session_fixture():
    """Session-scoped fixture created once."""
    # Expensive setup
    resource = expensive_setup()

    yield resource

    # Cleanup after all tests
    resource.cleanup()

Step 4: Add to Conftest Hierarchy

In
tests/utils/mock_*.py
:

python

"""Reusable mock fixtures for [component] components."""
from unittest.mock import MagicMock
import pytest

@pytest.fixture
def fixture_name():
    """Fixture docstring."""
    return MagicMock()

In
tests/conftest.py
:

python

# Import to make available project-wide
from tests.utils.mock_settings import (
    fixture_name,
)

__all__ = [
    "fixture_name",
]

In layer-specific conftest:

python

# tests/unit/conftest.py
import pytest

@pytest.fixture
def unit_specific_fixture():
    """Fixture only for unit tests."""
    return MagicMock()

Step 5: Use Fixtures in Tests

Basic usage:

python

def test_something(fixture_name):
    """Test using fixture."""
    assert fixture_name.attribute == "value"

Factory usage:

python

def test_with_factory(fixture_factory):
    """Test using factory fixture."""
    custom = fixture_factory(attribute="custom_value")
    assert custom.attribute == "custom_value"

Async usage:

python

@pytest.mark.asyncio
async def test_async(async_fixture):
    """Test using async fixture."""
    result = await async_fixture.operation()
    assert result == expected

Multiple fixtures:

python

def test_with_multiple(fixture_one, fixture_two, fixture_factory):
    """Test using multiple fixtures."""
    custom = fixture_factory(value="test")
    assert fixture_one.works_with(fixture_two, custom)

Examples

Example 1: Basic Mock Fixture

python

import pytest
from unittest.mock import MagicMock

@pytest.fixture
def mock_settings_minimal():
    """Create minimal mock settings for basic testing."""
    settings = MagicMock()
    settings.project = MagicMock()
    settings.project.project_name = "test_project"
    settings.neo4j = MagicMock()
    settings.neo4j.database_name = "test_db"
    return settings

Example 2: Factory Fixture

python

@pytest.fixture
def mock_settings_factory():
    """Factory for custom mock settings."""
    def create_settings(**kwargs):
        settings = MagicMock()
        settings.project = MagicMock()
        settings.project.project_name = kwargs.get("project_name", "test_project")
        settings.neo4j = MagicMock()
        settings.neo4j.database_name = kwargs.get("database_name", "test_db")
        settings.chunking = MagicMock()
        settings.chunking.chunk_size = kwargs.get("chunk_size", 50)
        return settings
    return create_settings

Example 3: Async Fixture with Cleanup

python

import pytest_asyncio
from collections.abc import AsyncGenerator
from neo4j import AsyncGraphDatabase, AsyncDriver

@pytest_asyncio.fixture(scope="function")
async def real_neo4j_driver() -> AsyncGenerator[AsyncDriver, None]:
    """Create a real Neo4j driver with cleanup."""
    driver = AsyncGraphDatabase.driver(
        "bolt://localhost:7687",
        auth=("neo4j", "password")
    )

    # Setup: Clear test data
    async with driver.session(database="test_db") as session:
        await session.run("MATCH (n {project_name: 'test_project'}) DETACH DELETE n")

    yield driver

    # Teardown: Close driver
    await driver.close()

Script Files:

scripts/generate_fixture.py - Auto-generate pytest fixtures following project patterns
scripts/analyze_fixture_usage.py - Analyze pytest fixture usage and find optimization opportunities
scripts/organize_fixtures.py - Reorganize fixtures by layer and update imports

Requirements

pytest installed:
```
uv pip install pytest
```
pytest-asyncio for async fixtures:
```
uv pip install pytest-asyncio
```
Understanding of project structure:
- ```
tests/utils/
```
  - Centralized reusable fixtures
- ```
tests/conftest.py
```
  - Project-wide fixture imports
- ```
tests/unit/conftest.py
```
  - Unit test specific fixtures
- ```
tests/integration/conftest.py
```
  - Integration test specific fixtures
- ```
tests/e2e/conftest.py
```
  - E2E test specific fixtures

Fixture Best Practices

Naming: Use descriptive names with
```
mock_
```
prefix for mocks
Docstrings: Always document what the fixture provides
Scope: Default to
```
function
```
scope, use
```
session
```
/
```
module
```
only when needed
Cleanup: Use
```
yield
```
for fixtures that need teardown
Factory Pattern: Return callable for customizable fixtures
Type Hints: Add return type hints for better IDE support
Reusability: Place reusable fixtures in
```
tests/utils/
```
, import in
```
conftest.py
```
Layer Isolation: Keep layer-specific fixtures in layer conftest files

Common Patterns

Settings Mock:

python

@pytest.fixture
def mock_settings():
    """Standard settings mock."""
    settings = MagicMock()
    settings.project = MagicMock()
    settings.neo4j = MagicMock()
    return settings

Service Result Mock:

python

@pytest.fixture
def mock_service_result():
    """Factory for ServiceResult mocks."""
    def create_result(success=True, data=None, error=None):
        result = MagicMock()
        result.is_success = success
        result.data = data
        result.error = error
        return result
    return create_result

Async Service Mock:

python

@pytest.fixture
def mock_embedding_service():
    """Async embedding service mock."""
    service = AsyncMock()
    service.generate_embeddings = AsyncMock(
        return_value=MagicMock(success=True, data=[[0.1] * 384])
    )
    return service

Troubleshooting

Fixture not found:

Check it's imported in
```
tests/conftest.py
```
Verify file is in Python path
Ensure
```
__all__
```
includes fixture name

Async fixture errors:

Install

pytest-asyncio

uv pip install pytest-asyncio

Use
```
@pytest_asyncio.fixture
```
not
```
@pytest.fixture
```
Mark test with
```
@pytest.mark.asyncio
```

Scope issues:

Session fixtures can't use function fixtures
Use broader scope for dependent fixtures
Consider fixture dependencies carefully

Cleanup not running:

Use
```
yield
```
not
```
return
```
Ensure async cleanup uses
```
await
```
Check for exceptions during test

Automation Scripts

NEW: Powerful automation utilities for fixture management:

scripts/generate_fixture.py

Auto-generate fixtures with proper patterns:

bash

python .claude/skills/setup-pytest-fixtures/scripts/generate_fixture.py \
  --name mock_service --type factory --attributes host,port,timeout

scripts/analyze_fixture_usage.py

Analyze fixture usage and find optimization opportunities:

bash

python .claude/skills/setup-pytest-fixtures/scripts/analyze_fixture_usage.py --unused

scripts/organize_fixtures.py

Reorganize fixtures by layer and update imports:

bash

python .claude/skills/setup-pytest-fixtures/scripts/organize_fixtures.py --validate

setup-pytest-fixtures

NPX Install

Tags

SKILL.md Content

Setup Pytest Fixtures

Purpose

Quick Start

Instructions

Step 1: Identify Fixture Type

Step 2: Choose Organization Strategy

Step 3: Implement Fixture

Step 4: Add to Conftest Hierarchy

Step 5: Use Fixtures in Tests

Examples

Example 1: Basic Mock Fixture

Example 2: Factory Fixture

Example 3: Async Fixture with Cleanup

Requirements

Fixture Best Practices

Common Patterns

Troubleshooting

Automation Scripts

scripts/generate_fixture.py

scripts/analyze_fixture_usage.py

scripts/organize_fixtures.py

See Also