Integration Test Generator logo

Integration Test Generator

Community
ArabelaTso
integration-test-generator

Generate integration tests for multiple interacting components in Python. Use when testing interactions between: (1) Multiple services or APIs (REST/GraphQL endpoints, microservices), (2) Database operations with repositories/ORMs (SQLAlchemy, Django ORM), (3) External services (payment gateways, email services, third-party APIs), (4) Message queues and event-driven systems, (5) Full stack workflows (API + database + business logic). Provides test structure templates, fixtures, test data builders, and patterns for pytest-based integration testing.

Overview

PublisherArabelaTso
RepositorySkills-4-SE
Skill nameintegration-test-generator
Stars
258
Forks
25
Bundled files
2
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ArabelaTso on GitHub. Read the source before you install it.

Installation

Install the Integration Test Generator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/integration-test-generator
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SE.git /tmp/Skills-4-SE
mkdir -p .claude/skills
cp -r /tmp/Skills-4-SE/skills/integration-test-generator .claude/skills/integration-test-generator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Integration Test Generator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Integration Test Generator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Integration Test Generator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Integration Test Generator

Generate comprehensive integration tests for Python applications that test multiple interacting components together.

When to Use Integration Tests

Integration tests verify that multiple components work correctly together:

  • Service Integration: REST/GraphQL APIs communicating with each other
  • Database Integration: Repositories, ORM models, transaction handling
  • External Services: Payment gateways, email services, third-party APIs
  • Event-Driven: Message queues, event publishers/consumers
  • Full Stack: Complete workflows through multiple layers (API → business logic → database)

Test Structure

Basic Integration Test Template

python
import pytest
from myapp.services import ServiceA, ServiceB

class TestServiceIntegration:
    """Test integration between ServiceA and ServiceB."""

    @pytest.fixture
    def service_a(self):
        """Setup ServiceA with test configuration."""
        return ServiceA(config={"mode": "test"})

    @pytest.fixture
    def service_b(self, service_a):
        """Setup ServiceB that depends on ServiceA."""
        return ServiceB(service_a=service_a)

    def test_services_communicate_correctly(self, service_a, service_b):
        """Test that ServiceB correctly uses ServiceA."""
        # Arrange
        test_data = {"key": "value"}

        # Act
        service_a.store(test_data)
        result = service_b.process()

        # Assert
        assert result["key"] == "value"
        assert result["processed"] is True

Test Fixtures Pattern

Use fixtures to set up and tear down test dependencies:

python
@pytest.fixture(scope="function")
def db_session():
    """Create a fresh database for each test."""
    engine = create_engine("sqlite:///:memory:")
    Base.metadata.create_all(engine)
    Session = sessionmaker(bind=engine)
    session = Session()

    yield session  # Test runs here

    session.close()

@pytest.fixture
def test_user(db_session):
    """Create a test user and clean up after test."""
    user = User(username="testuser", email="test@example.com")
    db_session.add(user)
    db_session.commit()

    yield user

    db_session.delete(user)
    db_session.commit()

Common Integration Test Patterns

API Integration Tests

Test multiple API endpoints working together:

python
def test_create_user_then_create_order(test_client):
    # Create user
    user_response = test_client.post("/api/users", json={"username": "test"})
    user_id = user_response.json()["id"]

    # Create order for user
    order_response = test_client.post(
        "/api/orders",
        json={"user_id": user_id, "items": [...]}
    )

    # Verify integration
    assert order_response.status_code == 201
    assert order_response.json()["user_id"] == user_id

Database Integration Tests

Test repository interactions and transactions:

python
def test_user_order_relationship(db_session, user_repo, order_repo):
    # Create user
    user = user_repo.create(username="test")
    db_session.commit()

    # Create orders
    order1 = order_repo.create(user_id=user.id, total=50.00)
    order2 = order_repo.create(user_id=user.id, total=75.00)
    db_session.commit()

    # Verify relationship
    retrieved_user = user_repo.get_by_id(user.id)
    assert len(retrieved_user.orders) == 2

External Service Integration

Test integration with external APIs using mocks:

python
import responses

@responses.activate
def test_payment_integration():
    # Mock external payment API
    responses.add(
        responses.POST,
        "https://api.payment.com/charge",
        json={"transaction_id": "txn_123", "status": "success"},
        status=200
    )

    # Test integration
    payment_service = PaymentService()
    result = payment_service.charge(amount=99.99, card_token="tok_test")

    assert result["status"] == "success"
    assert len(responses.calls) == 1

Detailed Patterns and Examples

For comprehensive integration test patterns, see:

patterns.md - Detailed examples for:

  • REST and GraphQL API integration
  • Database and repository integration
  • Transaction testing
  • Message queue integration
  • Full stack integration tests
  • External service mocking

test_data.md - Test data builders and fixtures:

  • Builder pattern for test data
  • Database fixtures
  • Factory pattern usage
  • API response builders

Best Practices

1. Test Isolation

Each test should be independent:

python
@pytest.fixture(scope="function")  # New instance per test
def db_session():
    # Fresh database for each test
    engine = create_engine("sqlite:///:memory:")
    Base.metadata.create_all(engine)
    # ...

2. Setup and Teardown

Always clean up test data:

python
@pytest.fixture
def test_resource():
    # Setup
    resource = create_resource()

    yield resource

    # Teardown - always runs even if test fails
    delete_resource(resource)

3. Use Test Builders

Create reusable test data builders:

python
def make_user(username="test", **kwargs):
    defaults = {"email": f"{username}@example.com", "is_active": True}
    return User(**{**defaults, **kwargs, "username": username})

# Usage
admin = make_user("admin", role="admin")
inactive = make_user("inactive", is_active=False)

4. Test Real Scenarios

Test complete user workflows:

python
def test_complete_checkout_workflow(test_client, db_session):
    # 1. Create user
    user = create_test_user()

    # 2. Add items to cart
    add_to_cart(user.id, product_id=1, quantity=2)

    # 3. Checkout
    order = checkout(user.id, payment_method="credit_card")

    # 4. Verify all integrations
    assert order.status == "confirmed"
    assert order.user_id == user.id
    assert len(order.items) == 1
    assert get_cart(user.id).items == []  # Cart emptied

5. Mock External Dependencies

Use mocks for external services to avoid network calls:

python
from unittest.mock import Mock, patch

def test_with_mocked_email_service():
    with patch('myapp.services.EmailService') as mock_email:
        mock_email.send.return_value = {"message_id": "123"}

        # Test code that uses email service
        result = send_confirmation_email("user@example.com")

        # Verify mock was called correctly
        mock_email.send.assert_called_once()
        assert result["message_id"] == "123"

Quick Reference

pytest Commands

bash
# Run all integration tests
pytest tests/integration/

# Run specific test file
pytest tests/integration/test_user_order.py

# Run tests matching pattern
pytest -k "test_integration"

# Run with verbose output
pytest -v tests/integration/

# Run with coverage
pytest --cov=myapp tests/integration/

Common Fixtures

python
# Database session
@pytest.fixture(scope="function")
def db_session():
    """Fresh database for each test."""

# Test client for API testing
@pytest.fixture
def test_client():
    """Test client for FastAPI/Flask app."""
    with TestClient(app) as client:
        yield client

# Mock external service
@pytest.fixture
def mock_payment_gateway():
    with patch('myapp.services.PaymentGateway') as mock:
        yield mock

Assertion Patterns

python
# Verify status codes
assert response.status_code == 201

# Verify data structure
assert "id" in response.json()
assert len(response.json()["items"]) == 2

# Verify relationships
assert order.user_id == user.id
assert user.orders[0].id == order.id

# Verify side effects
assert email_service.send.called
assert db_session.query(Order).count() == 1

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Integration Test Generator AI skill do?

Generate integration tests for multiple interacting components in Python. Use when testing interactions between: (1) Multiple services or APIs (REST/GraphQL endpoints, microservices), (2) Database operations with repositories/ORMs (SQLAlchemy, Django ORM), (3) External services (payment gateways, email services, third-party APIs), (4) Message queues and event-driven systems, (5) Full stack workflows (API + database + business logic). Provides test structure templates, fixtures, test data builders, and patterns for pytest-based integration testing.

Why use Integration Test Generator on TypingMind?

Because you install it once and use it with any model. Integration Test Generator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Integration Test Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/integration-test-generator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Integration Test Generator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Integration Test Generator?

As many as you like. As long as a model supports skills, you can use Integration Test Generator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Integration Test Generator AI skill free?

Yes. It is published on GitHub by ArabelaTso under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇