Refactor movie pilot config and test coverage

tests/test_agent_graph_cache.py

@@ -0,0 +1,92 @@
+"""Agent 图缓存行为测试。"""
+
+from datetime import datetime
+from types import SimpleNamespace
+from unittest.mock import AsyncMock, patch
+
+import pytest
+from langchain_core.messages import AIMessage, HumanMessage
+
+from app.agent import MoviePilotAgent, ReplyMode, _CompiledAgentBundle
+
+
+@pytest.fixture
+def anyio_backend():
+    """使用 asyncio 后端运行 anyio 异步测试。"""
+    return "asyncio"
+
+
+class _FakeGraphState:
+    """提供 LangGraph get_state 测试替身。"""
+
+    def __init__(self, messages):
+        """保存测试消息状态。"""
+        self.values = {"messages": messages}
+
+
+class _CapturingAgent:
+    """捕获传入消息的非流式 Agent 测试替身。"""
+
+    def __init__(self):
+        """初始化捕获容器。"""
+        self.payload = None
+
+    async def ainvoke(self, payload, config=None):
+        """记录 Agent 调用输入。"""
+        self.payload = payload
+
+    def get_state(self, _config):
+        """返回包含最终 AI 回复的图状态。"""
+        return _FakeGraphState([AIMessage(content="ok")])
+
+
+@pytest.mark.anyio
+async def test_create_agent_reuses_cached_graph_when_signature_matches():
+    """构造签名一致时应直接复用已编译 Agent 图。"""
+    cached_graph = object()
+    agent = MoviePilotAgent(session_id="cache-hit", user_id="user-1")
+    agent._compiled_agent_bundle = _CompiledAgentBundle(
+        signature=("sig",),
+        agent=cached_graph,
+        streaming=False,
+        created_at=datetime.now(),
+    )
+
+    with patch.object(
+        agent,
+        "_agent_bundle_signature",
+        new=AsyncMock(return_value=("sig",)),
+    ), patch("app.agent.create_agent") as create_agent:
+        graph = await agent._create_agent(streaming=False)
+
+    assert graph is cached_graph
+    assert agent._last_agent_cache_hit is True
+    create_agent.assert_not_called()
+
+
+@pytest.mark.anyio
+async def test_execute_agent_sends_only_latest_message_on_cache_hit():
+    """缓存命中时只把本轮新消息交给 LangGraph，避免重复提交历史。"""
+    fake_graph = _CapturingAgent()
+    agent = MoviePilotAgent(session_id="cache-hit", user_id="user-1")
+    agent.reply_mode = ReplyMode.CAPTURE_ONLY
+    agent._tool_context = {"user_reply_sent": False}
+    agent._streamed_output = ""
+    agent._should_stream = lambda: False
+    agent.stream_handler = SimpleNamespace(
+        stop_streaming=AsyncMock(return_value=(False, ""))
+    )
+
+    async def _create_agent(streaming=False):
+        """模拟缓存命中后的 Agent 创建结果。"""
+        agent._last_agent_cache_hit = True
+        return fake_graph
+
+    agent._create_agent = _create_agent
+    messages = [HumanMessage(content="上一轮"), HumanMessage(content="本轮")]
+
+    with patch("app.agent.eventmanager.send_event"):
+        await agent._execute_agent(messages)
+
+    assert agent._streamed_output == "ok"
+    assert fake_graph.payload["messages"] == [messages[-1]]