Files
ZNJJ-api-server/test/agent/test_scaffold.py
T
Eric Wang 5020903791 feat(agent): add LangGraph scaffold for assignment 1
- src/agent/state.py: minimal five-field AgentState
- src/agent/graph.py: START -> normalize_input -> reply -> END,
  compiled with InMemorySaver; reply emits <state>1002</state> prefix
- examples/langgraph_smoke.py: offline smoke, turns 1/2/1 verified
- test/agent/test_scaffold.py: turn accumulation, thread isolation,
  fixed-template assertions (3 passed)
- requirements.txt: pin langgraph==1.2.9

Known limit: InMemorySaver state disappears on process exit.
2026-10-19 13:32:43 +08:00

57 lines
1.7 KiB
Python

"""作业 1 验收测试:LangGraph 最小图。
通过标准(对应迁移计划作业 1):
- 同一会话(thread)轮数累计:1 → 2;
- 不同会话相互隔离:新 thread 的轮数从 1 开始;
- 不依赖 FastGPT 与真实模型,离线可重复执行。
注意:节点实现(src/agent/graph.py 中的 TODO)完成前,
本文件的测试会失败,属于预期状态。
"""
import pytest
from src.agent.graph import build_graph
async def ask(graph, thread_id: str, text: str) -> dict:
# 只传本轮变化的字段;对已有 checkpoint 的 thread 传完整初始状态,
# 其中的 turn_count=0 会覆盖已累计的值(LangGraph 输入按通道覆盖)。
return await graph.ainvoke(
{"session_id": thread_id, "input_text": text},
config={"configurable": {"thread_id": thread_id}},
)
@pytest.mark.asyncio
async def test_same_thread_accumulates_turns() -> None:
graph = build_graph()
first = await ask(graph, "thread-a", "你好")
second = await ask(graph, "thread-a", "发生了交通事故")
assert first["turn_count"] == 1
assert second["turn_count"] == 2
@pytest.mark.asyncio
async def test_different_threads_are_isolated() -> None:
graph = build_graph()
await ask(graph, "thread-a", "你好")
await ask(graph, "thread-a", "发生了交通事故")
other = await ask(graph, "thread-b", "你好")
assert other["turn_count"] == 1
@pytest.mark.asyncio
async def test_reply_uses_fixed_template_with_stage_prefix() -> None:
graph = build_graph()
result = await ask(graph, "thread-a", "你好")
assert result["stage_code"] == "1002"
assert result["response_text"].startswith("<state>1002</state>")
assert "你好" in result["response_text"]