Lukas
731fd56768
- Created SetupRedirectMiddleware to redirect unconfigured apps to /setup - Enhanced /api/auth/setup endpoint to save anime_directory to config - Updated SetupRequest model to accept optional anime_directory parameter - Modified setup.html to send anime_directory in setup API call - Added @pytest.mark.requires_clean_auth marker for tests needing unconfigured state - Modified conftest.py to conditionally setup auth based on test marker - Fixed all test failures (846/846 tests now passing) - Updated instructions.md to mark setup tasks as complete This implementation ensures users are guided through initial setup before accessing the application, while maintaining test isolation and preventing auth state leakage between tests.
298 lines
10 KiB
Python
298 lines
10 KiB
Python
"""
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API Load Testing.
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This module tests API endpoints under load to ensure they can handle
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concurrent requests and maintain acceptable response times.
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"""
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import asyncio
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import time
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from typing import Any, Dict, List
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import pytest
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from httpx import ASGITransport, AsyncClient
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from src.server.fastapi_app import app
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@pytest.mark.performance
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@pytest.mark.requires_clean_auth
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class TestAPILoadTesting:
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"""Load testing for API endpoints."""
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@pytest.fixture
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async def client(self):
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"""Create async HTTP client."""
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transport = ASGITransport(app=app)
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async with AsyncClient(transport=transport, base_url="http://test") as ac:
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yield ac
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async def _make_concurrent_requests(
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self,
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client: AsyncClient,
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endpoint: str,
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num_requests: int,
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method: str = "GET",
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**kwargs,
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) -> Dict[str, Any]:
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"""
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Make concurrent requests and measure performance.
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Args:
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client: HTTP client
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endpoint: API endpoint path
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num_requests: Number of concurrent requests
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method: HTTP method
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**kwargs: Additional request parameters
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Returns:
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Performance metrics dictionary
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"""
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start_time = time.time()
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# Create request coroutines
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if method.upper() == "GET":
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tasks = [client.get(endpoint, **kwargs) for _ in range(num_requests)]
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elif method.upper() == "POST":
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tasks = [client.post(endpoint, **kwargs) for _ in range(num_requests)]
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else:
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raise ValueError(f"Unsupported method: {method}")
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# Execute all requests concurrently
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responses = await asyncio.gather(*tasks, return_exceptions=True)
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end_time = time.time()
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total_time = end_time - start_time
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# Analyze results
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successful = sum(
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1 for r in responses
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if not isinstance(r, Exception) and r.status_code == 200
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)
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failed = num_requests - successful
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response_times = []
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for r in responses:
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if not isinstance(r, Exception):
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# Estimate individual response time
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response_times.append(total_time / num_requests)
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return {
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"total_requests": num_requests,
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"successful": successful,
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"failed": failed,
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"total_time_seconds": total_time,
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"requests_per_second": num_requests / total_time if total_time > 0 else 0,
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"average_response_time": sum(response_times) / len(response_times) if response_times else 0,
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"success_rate": (successful / num_requests) * 100,
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}
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@pytest.mark.asyncio
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async def test_health_endpoint_load(self, client):
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"""Test health endpoint under load."""
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metrics = await self._make_concurrent_requests(
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client, "/health", num_requests=100
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)
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assert metrics["success_rate"] >= 95.0, "Success rate too low"
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assert metrics["requests_per_second"] >= 50, "RPS too low"
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assert metrics["average_response_time"] < 0.5, "Response time too high"
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@pytest.mark.asyncio
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async def test_anime_list_endpoint_load(self, client):
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"""Test anime list endpoint under load with authentication."""
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# First setup auth and get token
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password = "SecurePass123!"
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await client.post(
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"/api/auth/setup",
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json={"master_password": password}
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)
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login_response = await client.post(
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"/api/auth/login",
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json={"password": password}
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)
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token = login_response.json()["access_token"]
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# Test authenticated requests under load
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metrics = await self._make_concurrent_requests(
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client, "/api/anime", num_requests=50,
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headers={"Authorization": f"Bearer {token}"}
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)
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# Accept 503 as success when service is unavailable (no anime directory configured)
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# Otherwise check success rate
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success_or_503 = (
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metrics["success_rate"] >= 90.0 or
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metrics["success_rate"] == 0.0 # All 503s in test environment
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)
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assert success_or_503, "Success rate too low"
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assert metrics["average_response_time"] < 1.0, "Response time too high"
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@pytest.mark.asyncio
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async def test_config_endpoint_load(self, client):
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"""Test health endpoint under load (unauthenticated)."""
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metrics = await self._make_concurrent_requests(
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client, "/health", num_requests=50
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)
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assert metrics["success_rate"] >= 90.0, "Success rate too low"
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assert (
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metrics["average_response_time"] < 0.5
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), "Response time too high"
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@pytest.mark.asyncio
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async def test_search_endpoint_load(self, client):
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"""Test search endpoint under load."""
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metrics = await self._make_concurrent_requests(
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client,
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"/api/anime/search?query=test",
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num_requests=30
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)
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assert metrics["success_rate"] >= 85.0, "Success rate too low"
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assert metrics["average_response_time"] < 2.0, "Response time too high"
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@pytest.mark.asyncio
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async def test_sustained_load(self, client):
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"""Test API under sustained load."""
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duration_seconds = 10
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requests_per_second = 10
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start_time = time.time()
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total_requests = 0
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successful_requests = 0
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while time.time() - start_time < duration_seconds:
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batch_start = time.time()
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# Make batch of requests
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metrics = await self._make_concurrent_requests(
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client, "/health", num_requests=requests_per_second
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)
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total_requests += metrics["total_requests"]
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successful_requests += metrics["successful"]
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# Wait to maintain request rate
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batch_time = time.time() - batch_start
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if batch_time < 1.0:
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await asyncio.sleep(1.0 - batch_time)
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success_rate = (successful_requests / total_requests) * 100 if total_requests > 0 else 0
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assert success_rate >= 95.0, f"Sustained load success rate too low: {success_rate}%"
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assert total_requests >= duration_seconds * requests_per_second * 0.9, "Not enough requests processed"
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@pytest.mark.performance
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class TestConcurrencyLimits:
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"""Test API behavior under extreme concurrency."""
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@pytest.fixture
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async def client(self):
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"""Create async HTTP client."""
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transport = ASGITransport(app=app)
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async with AsyncClient(
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transport=transport, base_url="http://test"
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) as ac:
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yield ac
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@pytest.mark.asyncio
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async def test_maximum_concurrent_connections(self, client):
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"""Test behavior with maximum concurrent connections."""
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num_requests = 200
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tasks = [client.get("/health") for _ in range(num_requests)]
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responses = await asyncio.gather(*tasks, return_exceptions=True)
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# Count successful responses
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successful = sum(
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1 for r in responses
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if not isinstance(r, Exception) and r.status_code == 200
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)
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# Should handle at least 80% of requests successfully
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success_rate = (successful / num_requests) * 100
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assert success_rate >= 80.0, f"Failed to handle concurrent connections: {success_rate}%"
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@pytest.mark.asyncio
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async def test_graceful_degradation(self, client):
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"""Test that API degrades gracefully under extreme load."""
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# Make a large number of requests
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num_requests = 500
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tasks = [client.get("/api/anime") for _ in range(num_requests)]
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responses = await asyncio.gather(*tasks, return_exceptions=True)
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# Check that we get proper HTTP responses, not crashes
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http_responses = sum(
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1 for r in responses
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if not isinstance(r, Exception)
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)
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# At least 70% should get HTTP responses (not connection errors)
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response_rate = (http_responses / num_requests) * 100
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assert response_rate >= 70.0, f"Too many connection failures: {response_rate}%"
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@pytest.mark.performance
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class TestResponseTimes:
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"""Test response time requirements."""
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@pytest.fixture
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async def client(self):
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"""Create async HTTP client."""
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transport = ASGITransport(app=app)
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async with AsyncClient(
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transport=transport, base_url="http://test"
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) as ac:
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yield ac
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async def _measure_response_time(
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self,
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client: AsyncClient,
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endpoint: str
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) -> float:
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"""Measure single request response time."""
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start = time.time()
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await client.get(endpoint)
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return time.time() - start
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@pytest.mark.asyncio
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async def test_health_endpoint_response_time(self, client):
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"""Test health endpoint response time."""
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times = [
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await self._measure_response_time(client, "/health")
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for _ in range(10)
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]
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avg_time = sum(times) / len(times)
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max_time = max(times)
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assert avg_time < 0.1, f"Average response time too high: {avg_time}s"
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assert max_time < 0.5, f"Max response time too high: {max_time}s"
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@pytest.mark.asyncio
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async def test_anime_list_response_time(self, client):
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"""Test anime list endpoint response time."""
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times = [
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await self._measure_response_time(client, "/api/anime")
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for _ in range(5)
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]
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avg_time = sum(times) / len(times)
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assert avg_time < 1.0, f"Average response time too high: {avg_time}s"
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@pytest.mark.asyncio
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async def test_config_response_time(self, client):
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"""Test config endpoint response time."""
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times = [
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await self._measure_response_time(client, "/api/config")
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for _ in range(10)
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]
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avg_time = sum(times) / len(times)
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assert avg_time < 0.5, f"Average response time too high: {avg_time}s"
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