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aiagent/backend/tests/conftest.py

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"""
Pytest配置和共享fixtures
"""
import pytest
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from fastapi.testclient import TestClient
from app.core.database import Base, get_db, SessionLocal
from app.main import app as fastapi_app
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from app.core.config import settings
# 导入所有模型,确保 Base.metadata 包含所有表
from app.core.database import Base as _Base
import app.models.user # noqa: F401
import app.models.workflow # noqa: F401
import app.models.agent # noqa: F401
import app.models.execution # noqa: F401
import app.models.model_config # noqa: F401
import app.models.workflow_template # noqa: F401
import app.models.permission # noqa: F401
import app.models.alert_rule # noqa: F401
import app.models.agent_llm_log # noqa: F401
import app.models.agent_vector_memory # noqa: F401
import app.models.knowledge_base # noqa: F401
import app.models.tool # noqa: F401
assert len(_Base.metadata.tables) > 0, "没有模型表被注册"
# 测试数据库URL
# 使用临时文件而非 :memory: 避免 FastAPI 异步/多线程请求中的
# SQLite 内存数据库连接隔离问题(每个连接看到不同的数据库)
import tempfile as _tempfile
import os as _os
import atexit as _atexit
_test_db_fd, _test_db_path = _tempfile.mkstemp(suffix=".db")
_os.close(_test_db_fd)
TEST_DATABASE_URL = f"sqlite:///{_test_db_path}"
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# 创建测试数据库引擎
test_engine = create_engine(
TEST_DATABASE_URL,
connect_args={"check_same_thread": False}
)
# 创建测试会话工厂
TestingSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=test_engine)
# 在进程退出时清理临时数据库文件
def _cleanup_test_db():
test_engine.dispose()
if _os.path.exists(_test_db_path):
_os.unlink(_test_db_path)
_atexit.register(_cleanup_test_db)
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@pytest.fixture(scope="function")
def db_session():
"""创建测试数据库会话"""
_Base.metadata.create_all(bind=test_engine)
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session = TestingSessionLocal()
try:
yield session
finally:
session.close()
_Base.metadata.drop_all(bind=test_engine)
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@pytest.fixture(scope="function")
def client(db_session):
"""创建测试客户端"""
def override_get_db():
try:
yield db_session
finally:
pass
fastapi_app.dependency_overrides[get_db] = override_get_db
with TestClient(fastapi_app) as test_client:
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yield test_client
fastapi_app.dependency_overrides.clear()
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@pytest.fixture
def test_user_data():
"""测试用户数据"""
return {
"username": "testuser",
"email": "test@example.com",
"password": "testpassword123"
}
@pytest.fixture
def authenticated_client(client, test_user_data):
"""创建已认证的测试客户端"""
# 注册用户
response = client.post("/api/v1/auth/register", json=test_user_data)
assert response.status_code == 201
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# 登录获取token
login_response = client.post(
"/api/v1/auth/login",
data={
"username": test_user_data["username"],
"password": test_user_data["password"]
}
)
assert login_response.status_code == 200
token = login_response.json()["access_token"]
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# 设置认证头
client.headers.update({"Authorization": f"Bearer {token}"})
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return client
@pytest.fixture
def sample_workflow_data():
"""示例工作流数据"""
return {
"name": "测试工作流",
"description": "这是一个测试工作流",
"nodes": [
{
"id": "start-1",
"type": "start",
"position": {"x": 0, "y": 0},
"data": {"label": "开始"}
},
{
"id": "llm-1",
"type": "llm",
"position": {"x": 200, "y": 0},
"data": {
"label": "LLM节点",
"provider": "deepseek",
"prompt": "请回答:{input}",
"model": "deepseek-chat"
}
},
{
"id": "end-1",
"type": "end",
"position": {"x": 400, "y": 0},
"data": {"label": "结束"}
}
],
"edges": [
{
"id": "e1",
"source": "start-1",
"target": "llm-1"
},
{
"id": "e2",
"source": "llm-1",
"target": "end-1"
}
]
}