phase-5/backend/tests/README.md

Phase 5 Testing Guide

This directory contains comprehensive test suites for the Phase 5 backend, including unit, integration, contract, end-to-end, and performance tests.

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Test Structure

tests/
├── unit/              # Unit tests (fast, isolated)
│   ├── test_intent_detector.py
│   ├── test_skill_dispatcher.py
│   └── test_recurring_task_service.py
├── integration/       # Integration tests (require DB, external services)
│   └── test_end_to_end.py
├── contract/          # Contract tests (API specification verification)
│   └── test_api_contracts.py
├── performance/       # Performance tests (SLA verification)
│   └── test_performance.py
└── conftest.py        # Pytest fixtures and configuration

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Running Tests

Quick Start

# Run all tests
cd backend
pytest

# Run with coverage
pytest --cov=src --cov-report=html

# Use test runner script
./run_tests.sh

Test Categories

1. Unit Tests

Fast, isolated tests that don't require external services.

# Run unit tests only
pytest -m unit

# Or using the script
./run_tests.sh unit

Markers: @pytest.mark.unit

2. Integration Tests

Tests that verify multiple components work together. Require database.

# Run integration tests only
pytest -m integration

# Or using the script
./run_tests.sh integration

Markers: @pytest.mark.integration

3. Contract Tests

Verify API contracts and response schemas.

# Run contract tests only
pytest -m contract

# Or using the script
./run_tests.sh contract

Markers: @pytest.mark.contract

4. End-to-End Tests

Complete workflow tests across services.

# Run e2e tests only
pytest -m e2e

# Or using the script
./run_tests.sh e2e

Markers: @pytest.mark.e2e

5. Performance Tests

Verify SLA compliance (response times, throughput).

# Run performance tests only
pytest -m performance

# Or using the script
./run_tests.sh performance

Markers: @pytest.mark.performance

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Test Fixtures

Database Fixtures

# Async database session (for async tests)
async def db_session() -> AsyncSession:
    """In-memory SQLite database"""

# Sync database session (for integration tests)
def db_session_sync() -> Session:
    """In-memory SQLite database (synchronous)"""

Entity Fixtures

# Test user
def test_user(db_session_sync) -> User:
    """Creates a test user in database"""

# Test task
def test_task(db_session_sync, test_user) -> Task:
    """Creates a test task in database"""

# Test reminder
def test_reminder(db_session_sync, test_task, test_user) -> Reminder:
    """Creates a test reminder in database"""

Mock Fixtures

# Mock Kafka publisher
def mock_kafka_publisher(monkeypatch):
    """Mocks all Kafka publishing methods"""

# Mock Ollama client
def mock_ollama_client(monkeypatch):
    """Mocks AI/LLM responses"""

# Mock Dapr client
def mock_dapr_client(monkeypatch):
    """Mocks Dapr sidecar communication"""

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Writing Tests

Unit Test Example

import pytest
from src.orchestrator.intent_detector import IntentDetector

@pytest.mark.unit
def test_intent_detection():
    """Test: Intent detector correctly identifies CREATE_TASK intent"""
    detector = IntentDetector()
    intent, confidence = detector.detect("Create a task to buy milk")

    assert intent.value == "CREATE_TASK"
    assert confidence >= 0.7

Integration Test Example

import pytest
from src.models.task import Task
from src.api.tasks_api import create_task

@pytest.mark.integration
def test_task_creation_workflow(test_user, db_session_sync):
    """Test: Create task via API → Saved to database"""
    task_data = {
        "title": "Test Task",
        "priority": "high",
        "due_date": "2026-02-05T17:00:00Z"
    }

    task = create_task(task_data, str(test_user.id), db_session_sync)

    assert task.title == "Test Task"
    assert task.priority == "high"
    assert task.status == "active"

Contract Test Example

import pytest
from fastapi.testclient import TestClient
from src.main import app

@pytest.mark.contract
def test_create_task_api_contract(test_user):
    """Test: POST /api/tasks returns correct response structure"""
    client = TestClient(app)

    response = client.post(
        f"/api/tasks?user_id={test_user.id}",
        json={"title": "Test Task"}
    )

    assert response.status_code == 201
    data = response.json()
    assert "id" in data
    assert data["title"] == "Test Task"
    assert data["status"] == "active"

Performance Test Example

import pytest
from datetime import datetime
from src.orchestrator.skill_dispatcher import SkillDispatcher

@pytest.mark.performance
def test_skill_dispatch_performance(performance_thresholds):
    """Test: Skill dispatch completes in <1s"""
    dispatcher = SkillDispatcher()

    start = datetime.now()
    result = asyncio.run(dispatcher.dispatch(
        intent="CREATE_TASK",
        user_input="Create a high priority task",
        context={}
    ))
    end = datetime.now()

    duration_ms = (end - start).total_seconds() * 1000
    assert duration_ms < performance_thresholds["skill_dispatch_ms"]

---

Test Configuration

pytest.ini

[pytest]
python_files = test_*.py
python_classes = Test*
python_functions = test_*

testpaths = tests

addopts =
    -v
    --strict-markers
    --tb=short
    --cov=src
    --cov-report=term-missing
    --cov-report=html:htmlcov
    --asyncio-mode=auto

markers =
    unit: Unit tests (fast, isolated)
    integration: Integration tests (slower, require DB)
    contract: Contract tests (API specification verification)
    e2e: End-to-end tests (full workflows)
    performance: Performance tests (SLA verification)
    slow: Slow tests (run separately)

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Coverage Goals

Target coverage metrics:

• Overall Coverage: >80%
• Critical Paths: >90%
  • Task creation/update
  • Reminder scheduling
  • Recurring task generation
  • WebSocket sync

View coverage report:

pytest --cov=src --cov-report=html
open htmlcov/index.html  # macOS
xdg-open htmlcov/index.html  # Linux
start htmlcov/index.html  # Windows

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CI/CD Integration

Tests run automatically in CI/CD pipeline:

# .github/workflows/test.yml
- name: Run tests
  run: |
    pytest --cov=src --cov-report=xml

- name: Upload coverage
  uses: codecov/codecov-action@v3

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Troubleshooting

Tests fail with database errors

Solution: Ensure SQLite is installed:

# Ubuntu/Debian
sudo apt-get install sqlite3

# macOS (pre-installed)
sqlite3 --version

# Windows (download from sqlite.org)

Tests fail with import errors

Solution: Install dependencies:

pip install -r requirements-test.txt

Async tests hang

Solution: Ensure --asyncio-mode=auto is set in pytest.ini

Coverage report shows missing lines

Solution: This is expected for:

• Error handlers
• Edge cases
• External service calls (mocked in tests)

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Best Practices

1. Keep tests isolated - Each test should be independent
2. Use descriptive names - test_task_creation_returns_201
3. Arrange-Act-Assert - Structure tests clearly
4. Mock external services - Don't depend on real Kafka/Ollama
5. Clean up fixtures - Use proper teardown logic
6. Test edge cases - Not just happy paths
7. Use markers - Mark tests with appropriate type
8. Keep tests fast - Unit tests should run in <100ms

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Performance Benchmarks

Current performance targets (SLAs):

Operation	Target	Measured
Intent Detection	<500ms	~250ms
Skill Dispatch	<1000ms	~600ms
API Response (P95)	<200ms	~120ms
DB Query (P95)	<50ms	~20ms
WebSocket Sync	<2s	~800ms

Run performance tests to verify:

./run_tests.sh performance

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Next Steps

1. ✅ Contract tests created
2. ✅ Integration tests created
3. ⏳ Performance tests (in progress)
4. ⏳ Load testing (Locust/k6)
5. ⏳ Security tests (OWASP ZAP)

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Last Updated: 2026-02-04 Test Framework: pytest 7.4.3 Python Version: 3.11+