62 lines
2.1 KiB
Python
62 lines
2.1 KiB
Python
import asyncio
|
|
|
|
from app.modules.chat.direct_service import CodeExplainChatService
|
|
from app.modules.chat.session_resolver import ChatSessionResolver
|
|
from app.modules.chat.task_store import TaskStore
|
|
from app.modules.agent.runtime.steps.explain.models import ExplainIntent, ExplainPack
|
|
from app.schemas.chat import ChatFileContext, ChatMessageRequest
|
|
|
|
|
|
class _FakeRetriever:
|
|
def build_pack(self, rag_session_id: str, user_query: str, *, file_candidates: list[dict] | None = None) -> ExplainPack:
|
|
return ExplainPack(
|
|
intent=ExplainIntent(raw_query=user_query, normalized_query=user_query),
|
|
missing=["code_excerpts"],
|
|
)
|
|
|
|
|
|
class _FakeLlm:
|
|
def __init__(self) -> None:
|
|
self.calls = 0
|
|
|
|
def generate(self, prompt_name: str, user_input: str, *, log_context: str | None = None) -> str:
|
|
self.calls += 1
|
|
return "should not be called"
|
|
|
|
|
|
class _FakeDialogs:
|
|
def get(self, dialog_session_id: str):
|
|
return None
|
|
|
|
|
|
def test_direct_service_skips_llm_when_evidence_is_insufficient() -> None:
|
|
messages: list[tuple[str, str, str, str | None]] = []
|
|
llm = _FakeLlm()
|
|
task_store = TaskStore()
|
|
service = CodeExplainChatService(
|
|
retriever=_FakeRetriever(),
|
|
llm=llm,
|
|
session_resolver=ChatSessionResolver(_FakeDialogs(), lambda rag_session_id: rag_session_id == "rag-1"),
|
|
task_store=task_store,
|
|
message_sink=lambda dialog_session_id, role, content, task_id=None: messages.append((dialog_session_id, role, content, task_id)),
|
|
)
|
|
|
|
result = asyncio.run(
|
|
service.handle_message(
|
|
ChatMessageRequest(
|
|
session_id="dialog-1",
|
|
project_id="rag-1",
|
|
message="Explain get_user",
|
|
files=[ChatFileContext(path="app/api/users.py", content="", content_hash="x")],
|
|
)
|
|
)
|
|
)
|
|
|
|
task = task_store.get(result.task_id)
|
|
assert task is not None
|
|
assert task.answer is not None
|
|
assert "Недостаточно опоры в коде" in task.answer
|
|
assert result.status == "done"
|
|
assert llm.calls == 0
|
|
assert [item[1] for item in messages] == ["user", "assistant"]
|