feat: add unified strategy project workflow

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Administrator committed 2026-09-09 15:40:29 +08:00
1 parent 67d12929fc
commit a26fd32eba
28 files changed
+3382 -191

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@@ -13,9 +13,14 @@
from __future__ import annotations
import asyncio
import json
from contextlib import asynccontextmanager
from types import SimpleNamespace
import pytest
import app.gateway.roundtable_model_fallback as mf
import app.gateway.routers.parallel_agents as parallel_agents
from app.gateway.roundtable_model_fallback import (
fallback_model_chain,
is_llm_error_message,
@@ -56,6 +61,181 @@ def test_is_llm_error_message_normal_is_none() -> None:
assert is_llm_error_message({"type": "ai", "content": ""}) is None
def test_parallel_agent_run_raises_instead_of_completing_llm_fallback(monkeypatch) -> None:
fallback_message = {
"type": "ai",
"content": "大模型本次调用未能成功完成,请稍后再试或更换模型。",
}
async def fake_stream_upstream(*_args, **_kwargs):
yield None, [f"data: {json.dumps({'messages': [fallback_message]}, ensure_ascii=False)}"]
monkeypatch.setattr(parallel_agents, "_stream_upstream", fake_stream_upstream)
async def collect() -> list[object]:
return [
item
async for item in parallel_agents._run_one_agent(
None, # type: ignore[arg-type]
"http://gateway.test",
{"Authorization": "Bearer test"},
"strategy-selection-intent",
"thread-id",
"test task",
"",
)
]
try:
asyncio.run(collect())
except RuntimeError as exc:
assert "模型调用失败" in str(exc)
else:
raise AssertionError("LLM fallback message must not be emitted as agent_done")
def test_parallel_agent_run_rejects_punctuation_only_delivery(monkeypatch) -> None:
invalid_message = {"type": "ai", "content": "!" * 500}
async def fake_stream_upstream(*_args, **_kwargs):
yield None, [f"data: {json.dumps({'messages': [invalid_message]}, ensure_ascii=False)}"]
monkeypatch.setattr(parallel_agents, "_stream_upstream", fake_stream_upstream)
async def collect() -> list[object]:
return [
item
async for item in parallel_agents._run_one_agent(
None, # type: ignore[arg-type]
"http://gateway.test",
{"Authorization": "Bearer test"},
"strategy-selection-angle-security",
"thread-id",
"test task",
"",
)
]
try:
asyncio.run(collect())
except RuntimeError as exc:
assert "未生成有效正文" in str(exc)
else:
raise AssertionError("Punctuation-only output must not be emitted as agent_done")
def test_parallel_agent_run_allows_empty_content_clarification(monkeypatch) -> None:
clarification_message = {
"type": "ai",
"content": "",
"tool_calls": [
{
"id": "clarify-1",
"name": "ask_clarification",
"args": {
"question": "请确认策略时间范围。",
"clarification_type": "single_choice",
"options": ["短期", "长期"],
"allow_custom": True,
},
}
],
}
async def fake_stream_upstream(*_args, **_kwargs):
yield None, [
f"data: {json.dumps({'messages': [clarification_message]}, ensure_ascii=False)}"
]
monkeypatch.setattr(parallel_agents, "_stream_upstream", fake_stream_upstream)
async def collect() -> list[object]:
return [
item
async for item in parallel_agents._run_one_agent(
None, # type: ignore[arg-type]
"http://gateway.test",
{"Authorization": "Bearer test"},
"strategy-selection-intent",
"thread-id",
"test task",
"",
)
]
events = asyncio.run(collect())
assert len(events) == 1
event = events[0]
assert isinstance(event, dict)
assert event["type"] == "clarification"
assert event["content"] == ""
assert event["clarification"]["question"] == "请确认策略时间范围。"
def test_parallel_agent_substantive_content_accepts_chinese_and_english() -> None:
assert parallel_agents._has_substantive_content("这是一份包含目标、前置条件、阶段路径和验收标准的完整策略。")
assert parallel_agents._has_substantive_content(
"A complete strategy with objectives, prerequisites, milestones, and measurable outcomes."
)
assert not parallel_agents._has_substantive_content("<think>internal reasoning only</think>!!!")
@pytest.mark.parametrize(
("buffered_content", "expected_error"),
[
("大模型本次调用未能成功完成,请稍后再试或更换模型。", "模型调用失败"),
("", "未生成有效正文"),
("<think>internal reasoning only</think>", "未生成有效正文"),
("!" * 500, "未生成有效正文"),
],
)
def test_parallel_agent_truncated_stream_rejects_invalid_buffer(
monkeypatch,
buffered_content: str,
expected_error: str,
) -> None:
async def fake_run_one_agent(*_args, **_kwargs):
yield "event: messages"
yield f"data: {json.dumps([{'type': 'ai', 'content': buffered_content}], ensure_ascii=False)}"
@asynccontextmanager
async def fake_client(*_args, **_kwargs):
yield object()
async def fake_create_thread(*_args, **_kwargs):
return "thread-id"
monkeypatch.setattr(parallel_agents, "_run_one_agent", fake_run_one_agent)
monkeypatch.setattr(parallel_agents, "_make_loopback_client", fake_client)
monkeypatch.setattr(parallel_agents, "_create_thread", fake_create_thread)
monkeypatch.setattr(parallel_agents, "_loopback_base", lambda _request: "http://gateway.test")
monkeypatch.setattr(parallel_agents, "_auth_headers", lambda _request: {})
async def collect() -> list[dict[str, object]]:
response = await parallel_agents.run_parallel_agents_stream(
SimpleNamespace(),
{
"task_name": "test task",
"brief": "test brief",
"agent_ids": ["strategy-selection-intent"],
},
)
events: list[dict[str, object]] = []
async for chunk in response.body_iterator:
text = chunk.decode() if isinstance(chunk, bytes) else chunk
for line in text.splitlines():
if line.startswith("data:"):
events.append(json.loads(line[5:].strip()))
return events
events = asyncio.run(collect())
assert not any(event.get("type") == "agent_done" for event in events)
errors = [event for event in events if event.get("type") == "agent_error"]
assert len(errors) == 1
assert expected_error in str(errors[0].get("message"))
# ── 中间件给兜底 AIMessage 打标记 ────────────────────────────────────────────