Full-stack application for predicting where humans look in images using DeepGaze saliency models. Includes heatmap overlays, gaze sequence prediction, hotspot detection, AOI analysis, rule-based insights, optional Claude AI design analysis, and professional PDF report generation. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
51 lines
1.4 KiB
Python
51 lines
1.4 KiB
Python
import asyncio
|
|
|
|
import pytest
|
|
import pytest_asyncio
|
|
from httpx import ASGITransport, AsyncClient
|
|
from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine
|
|
|
|
from app.main import app
|
|
from app.models.base import Base
|
|
from app.db.session import get_db
|
|
|
|
|
|
# Use SQLite for tests
|
|
TEST_DATABASE_URL = "sqlite+aiosqlite:///./test.db"
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def event_loop():
|
|
loop = asyncio.new_event_loop()
|
|
yield loop
|
|
loop.close()
|
|
|
|
|
|
@pytest_asyncio.fixture
|
|
async def db_engine():
|
|
engine = create_async_engine(TEST_DATABASE_URL, echo=False)
|
|
async with engine.begin() as conn:
|
|
await conn.run_sync(Base.metadata.create_all)
|
|
yield engine
|
|
async with engine.begin() as conn:
|
|
await conn.run_sync(Base.metadata.drop_all)
|
|
await engine.dispose()
|
|
|
|
|
|
@pytest_asyncio.fixture
|
|
async def db_session(db_engine):
|
|
session_factory = async_sessionmaker(db_engine, class_=AsyncSession, expire_on_commit=False)
|
|
async with session_factory() as session:
|
|
yield session
|
|
|
|
|
|
@pytest_asyncio.fixture
|
|
async def client(db_session):
|
|
async def override_get_db():
|
|
yield db_session
|
|
|
|
app.dependency_overrides[get_db] = override_get_db
|
|
transport = ASGITransport(app=app)
|
|
async with AsyncClient(transport=transport, base_url="http://test") as ac:
|
|
yield ac
|
|
app.dependency_overrides.clear()
|