Files
MoviePilot/tests/test_agent_chat_history.py
2026-06-18 11:45:50 +08:00

142 lines
4.5 KiB
Python

import asyncio
from types import SimpleNamespace
from langchain_core.messages import HumanMessage
from app.agent import MoviePilotAgent
from app.agent.memory import memory_manager
from app.db.agentchat_oper import AgentChatOper
def test_agent_chat_oper_saves_display_messages_with_channel():
"""Agent 会话历史应保存展示消息与渠道标识。"""
oper = AgentChatOper()
oper.save_display_messages(
session_id="session-chat",
user_id="1",
username="admin",
channel="Telegram",
source="telegram-main",
original_chat_id="chat-1",
messages=[
{
"id": "user-1",
"role": "user",
"content": "帮我看看下载器",
"createdAt": 1,
"status": "done",
"tools": [],
"attachments": [],
"choices": [],
}
],
)
chat = AgentChatOper().get(session_id="session-chat", user_id="1")
assert chat.channel == "Telegram"
assert chat.source == "telegram-main"
assert chat.original_chat_id == "chat-1"
assert chat.message_count == 1
assert chat.title == "帮我看看下载器"
def test_agent_chat_oper_keeps_generated_title_when_saving_display_messages():
"""保存展示消息时不应覆盖已生成的模型标题。"""
oper = AgentChatOper()
oper.update_title_if_empty(
session_id="session-title",
user_id="1",
username="admin",
channel="WebAgent",
source="web-agent",
title="下载器状态排查",
)
oper.save_display_messages(
session_id="session-title",
user_id="1",
messages=[
{
"id": "user-1",
"role": "user",
"content": "帮我看看下载器现在是不是正常",
"createdAt": 1,
"status": "done",
"tools": [],
"attachments": [],
"choices": [],
}
],
title="帮我看看下载器现在是不是正常",
)
chat = AgentChatOper().get(session_id="session-title", user_id="1")
summary = AgentChatOper.to_summary(chat)
assert chat.title == "下载器状态排查"
assert "preview" not in summary
assert "messages" not in summary
def test_agent_prepare_chat_title_generates_title(monkeypatch):
"""首次调用 Agent 时应使用模型生成会话标题并写入渠道信息。"""
class FakeTitleModel:
"""测试用标题模型。"""
async def ainvoke(self, messages):
"""返回固定标题。"""
assert "标题生成器" in messages[0].content
assert messages[1].content == "帮我看看下载器现在是不是正常"
return SimpleNamespace(content="「下载器状态排查」")
async def fake_initialize_llm(self, streaming=False):
"""返回测试标题模型。"""
return FakeTitleModel()
monkeypatch.setattr(MoviePilotAgent, "_initialize_llm", fake_initialize_llm)
agent = MoviePilotAgent(
session_id="session-ai-title",
user_id="3",
channel="WebAgent",
source="web-agent",
username="admin",
)
asyncio.run(agent.prepare_chat_title("帮我看看下载器现在是不是正常"))
chat = AgentChatOper().get(session_id="session-ai-title", user_id="3")
assert chat.title == "下载器状态排查"
assert chat.channel == "WebAgent"
assert chat.source == "web-agent"
def test_memory_manager_restores_agent_messages_from_database():
"""内存缓存缺失时应从 Agent 会话历史表恢复原始 messages。"""
session_id = "session-memory"
user_id = "2"
memory_manager.clear_memory(session_id, user_id)
AgentChatOper().save_agent_messages(
session_id=session_id,
user_id=user_id,
messages=[
{
"type": "human",
"data": {
"content": "继续之前的话题",
"additional_kwargs": {},
"response_metadata": {},
"type": "human",
"name": None,
"id": None,
"example": False,
},
}
],
)
messages = memory_manager.get_agent_messages(session_id=session_id, user_id=user_id)
assert len(messages) == 1
assert isinstance(messages[0], HumanMessage)
assert messages[0].content == "继续之前的话题"