Files
AgentLab/backend/tests/test_copilot_scope.py
T
ThearchyHelios 587bf7e27c 第三波前两批:六个「看着成功其实没干活」的平台漏洞堵上,记录页能回放,管理页与画布收尾
起因是一次探索运行:Copilot 改节点时把工具绑定整份抹掉,agent 没有工具只能写「假设调用」,
校验节点的自动修复编出 total_count=0 让 schema 通过,协作成员把工具调用标记当文字输出了四轮,
轮数用完后节点把原话当成功结果交出去——运行标成已完成,数据库一次都没查。

平台可信度(先写失败测试)
- Copilot 修改节点改为合并:没写的字段保留,null 才删除;协作成员按名字合并。前后端同一套规则,
  工具集合变小时自查报警、改图回执列出变化
- 新校验规则:提示词点名了某个工具而节点没有绑定它,判错误,Copilot 自查会交回去修
- 校验修复只许改格式:冒出原文没有的值就判修复无效;修复这次模型调用计入用量
- 识别模型把工具调用写成文字的情况(DSML、<tool_call> 等标记):纠正一次,仍然如此就判失败并说明原因
- 协作团队用完轮数不再按成功交付:默认失败,可选降档,点出一次都没派到的成员
- 审批恢复后,同一节点里已经执行过的工具调用复用结果,不再重复执行

后端
- 查询时限交给数据库执行(Oracle call_timeout、PG statement_timeout、MySQL max_execution_time、
  SQLite progress handler),可按数据源配置;超时报错与实际耗时一致
- 等审批的运行可以真正取消;会话列表带最后一轮状态;测连接结果持久化;探查结构可只看不存;
  自定义工具可草稿试跑、写坏的参数定义保存时拒绝;MCP 服务改动后作废旧工具缓存;
  检索命中带贡献分解;重建索引在后台跑并报进度;报错统一收进 core/errors

前端
- 公共层:管理页共用件、失败说明(lib/explain)、健康状态进公共库;目录按表各自加载并有超时,
  一张表卡住不再拖垮整站;上传显示真实字节进度;离线横幅只播报不变的句子
- 画布:卡片只说游标所在的那一次执行;等审批时可放弃运行;团队收尾判定与未完成说清楚;
  回放用量取那一刻的值
- 编排页:Copilot 合并语义与工具变化回执;「用完轮数时」选项;正式运行期间锁住所有改图入口
- 回答流 / 问数据:新失败类型说人话并给下一步;画布与右栏互相定位;数据源范围、回收站、重新核对
- 记录页:「航迹」页签复用画布时间轴,可拖动回放、列出关键时刻;列表行带执行 / 等人 / 失败缩略条
- 外壳:统一的离开前确认(data router),导航、⌘K、快捷键、后退都会先问

验证(沙箱):tsc 干净,pytest 838 passed(两遍),14 个检查脚本中 13 个全绿;
check-ui 余 1 项旧断言(按旧日期格式找运行行),3c 更新。
2026-09-27 10:16:32 +08:00

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"""问数据时可以把这一轮限定在某几个数据源上。
问数据页的数据源标签要能「点一下,这次只查这个库」。以前助手每一轮都看得到
全部数据源,追问时还会沿用上一轮接的那个库——用户明明想换一个库问,得到的
还是旧库上的答案,而且说不清为什么。
限定之后:给模型看的工具和结构只剩这几个库;图里用了范围外的库,按自查的
规则交回去改,改不掉就不自动运行。
"""
from __future__ import annotations
import json
import sqlite3
import pytest
from httpx import ASGITransport, AsyncClient
from app.db.base import SessionLocal
from app.db.models import DataSource
from app.main import app
@pytest.fixture
async def client():
transport = ASGITransport(app=app)
async with AsyncClient(transport=transport, base_url="http://test") as c:
yield c
@pytest.fixture
async def sources(tmp_path):
"""两个库:scope_shop(orders)和 scope_sales(sales_daily)。"""
made: dict[str, str] = {}
async with SessionLocal() as session:
for name, table in (("scope_shop", "orders"), ("scope_sales", "sales_daily")):
path = tmp_path / f"{name}.db"
db = sqlite3.connect(path)
db.execute(f"CREATE TABLE {table} (id INTEGER PRIMARY KEY, amount REAL)")
db.commit()
db.close()
row = DataSource(name=name, kind="sqlite", database=str(path), description=f"{table} 库",
schema_cache={"tables": {table: {"qualified": table, "columns": [
{"name": "id", "type": "INTEGER"}, {"name": "amount", "type": "REAL"}]}}})
session.add(row)
await session.flush()
made[name] = row.id
await session.commit()
yield made
async with SessionLocal() as session:
for source_id in made.values():
row = await session.get(DataSource, source_id)
if row:
await session.delete(row)
await session.commit()
class _Scripted:
def __init__(self, first: list[dict], fix: list[dict] | None = None) -> None:
self.first = [json.dumps(o, ensure_ascii=False) for o in first]
self.fix = [json.dumps(o, ensure_ascii=False) for o in (fix or [{"op": "done"}])]
self.systems: list[str] = []
self.humans: list[str] = []
async def astream(self, messages):
from langchain_core.messages import AIMessageChunk
self.systems.append(next(t for r, t in messages if r == "system"))
human = next(t for r, t in messages if r == "human")
self.humans.append(human)
for line in (self.fix if "上线前自查" in human else self.first):
yield AIMessageChunk(content=line + "\n")
def _graph_using(tool: str) -> list[dict]:
return [
{"op": "add_node", "node": {"id": "start", "type": "input", "label": "输入", "config": {}}},
{"op": "add_node", "node": {"id": "ask", "type": "agent", "label": "查库", "config": {
"prompt": "{{ input.question }}", "tools": [tool], "assign_to": "answer"}}},
{"op": "add_edge", "edge": {"source": "start", "target": "ask"}},
{"op": "add_node", "node": {"id": "out", "type": "output", "label": "成果", "config": {
"fields": [{"name": "answer", "value": "{{ vars.answer }}"}]}}},
{"op": "add_edge", "edge": {"source": "ask", "target": "out"}},
{"op": "done", "explanation": "查一下", "run": True},
]
async def _stream(client, monkeypatch, model, body: dict) -> tuple[int, list[dict]]:
import app.api.copilot as copilot
async def _model(*_a, **_k):
return model, "mock-fast"
monkeypatch.setattr(copilot, "get_chat_model", _model)
events: list[dict] = []
async with client.stream("POST", "/api/copilot/generate-stream", json=body) as r:
if r.status_code != 200:
return r.status_code, [json.loads(await r.aread())]
async for line in r.aiter_lines():
if line.startswith("data: "):
events.append(json.loads(line[6:]))
return 200, events
async def test_without_a_scope_the_model_sees_every_source(client, monkeypatch, sources):
model = _Scripted(_graph_using("db_query__scope_shop"))
await _stream(client, monkeypatch, model, {"instruction": "订单多少", "intent": "answer"})
assert "db_query__scope_shop" in model.systems[0]
assert "db_query__scope_sales" in model.systems[0]
async def test_a_scope_narrows_what_the_model_sees(client, monkeypatch, sources):
model = _Scripted(_graph_using("db_query__scope_shop"))
status, events = await _stream(client, monkeypatch, model, {
"instruction": "订单多少", "intent": "answer", "datasource_ids": [sources["scope_shop"]],
})
assert status == 200
system = model.systems[0]
assert "db_query__scope_shop" in system and "orders" in system
assert "db_query__scope_sales" not in system and "sales_daily" not in system
assert "只查" in system and "scope_shop" in system, "限定要明说,不然模型会沿用上一轮的库"
final = events[-1]
assert final["op"] == "final" and final["autorun"] is True
assert not [i for i in final["issues"] if i.get("code") == "datasource_out_of_scope"]
async def test_a_scope_can_name_sources_too(client, monkeypatch, sources):
model = _Scripted(_graph_using("db_query__scope_sales"))
await _stream(client, monkeypatch, model, {
"instruction": "销售额", "intent": "answer", "datasource_ids": ["scope_sales"],
})
assert "db_query__scope_sales" in model.systems[0]
assert "db_query__scope_shop" not in model.systems[0]
async def test_using_a_source_outside_the_scope_is_sent_back(client, monkeypatch, sources):
fix = [{"op": "update_node", "id": "ask", "config": {"tools": ["db_query__scope_shop"]}},
{"op": "done"}]
model = _Scripted(_graph_using("db_query__scope_sales"), fix)
_, events = await _stream(client, monkeypatch, model, {
"instruction": "订单多少", "intent": "answer", "datasource_ids": [sources["scope_shop"]],
})
checks = [e for e in events if e.get("op") == "check"]
assert [c["status"] for c in checks] == ["repairing", "passed"], checks
out_of_scope = [i for i in checks[0]["issues"] if "scope_sales" in i["message"]]
assert out_of_scope, checks[0]
assert out_of_scope[0]["node_id"] == "ask"
assert out_of_scope[0]["code"] == "datasource_out_of_scope", "和 final.issues 同一个 code"
final = events[-1]
ask = next(n for n in final["graph"]["nodes"] if n["id"] == "ask")
assert ask["data"]["config"]["tools"] == ["db_query__scope_shop"]
assert final["autorun"] is True
async def test_a_scope_that_is_never_honoured_is_not_run(client, monkeypatch, sources):
model = _Scripted(_graph_using("db_query__scope_sales"))
_, events = await _stream(client, monkeypatch, model, {
"instruction": "订单多少", "intent": "answer", "datasource_ids": [sources["scope_shop"]],
})
final = events[-1]
assert final["autorun"] is False
out_of_scope = [i for i in final["issues"] if i.get("code") == "datasource_out_of_scope"]
assert [i["node_id"] for i in out_of_scope] == ["ask"]
assert "scope_sales" in out_of_scope[0]["message"] and "scope_shop" in out_of_scope[0]["message"]
async def test_a_scope_of_unknown_sources_is_refused_up_front(client, monkeypatch, sources):
status, body = await _stream(client, monkeypatch, _Scripted([]), {
"instruction": "订单多少", "intent": "answer", "datasource_ids": ["no_such_source"],
})
assert status == 400
detail = body[0]["detail"]
assert "数据源" in detail and "no_such_source" not in detail.split(":")[0]
async def test_the_one_shot_generate_honours_the_scope(client, monkeypatch, sources):
import app.api.copilot as copilot
seen: list = []
class _OneShot:
def with_structured_output(self, *_a, **_k):
return self
async def ainvoke(self, messages):
seen.append(messages)
return {"nodes": [], "edges": []}
async def _model(*_a, **_k):
return _OneShot(), "mock-fast"
monkeypatch.setattr(copilot, "get_chat_model", _model)
r = await client.post("/api/copilot/generate", json={
"instruction": "订单多少", "datasource_ids": [sources["scope_shop"]],
})
assert r.status_code == 200, r.text
system = next(t for role, t in seen[0] if role == "system")
assert "db_query__scope_shop" in system and "db_query__scope_sales" not in system