"""镜像生成:成功造出正解相反的镜像;正解相同/生成 null → 返回 None。""" import pytest from app.question_gen.adversarial_filter import generate_mirror_question from core.types import GeneratedQuestion, LLMResponse class _FakeVLM: def __init__(self, content: str): self._content = content async def chat_with_images(self, messages, images, *, session_id=None, parent_call_id=None): return LLMResponse( content=self._content, thinking="", model="fake", provider="fake", prompt_tokens=0, completion_tokens=0, latency_ms=0, ttft_ms=None, max_inter_token_ms=None, cache_hit=False, call_id="c", ) def _q(): return GeneratedQuestion( question_id="q1", video_id="v1", task_type="Action Recognition", question="X 之前做了什么?", options=("A. 蒸", "B. 炒", "C. 煮", "D. 炸"), answer="A", source_nodes=("n1",), difficulty="hard", sub_pattern="temporal_reasoning_failure", ) @pytest.mark.asyncio async def test_mirror_distinct_correct_ok(): vlm = _FakeVLM('{"mirror": {"question": "X 之后做了什么?", ' '"options": ["A. 炒", "B. 蒸", "C. 煮", "D. 炸"], "answer": "A"}}') mirror = await generate_mirror_question( _q(), flip_axis="before/after", vlm=vlm, material=_FakeMaterial(), session_id="s", ) assert mirror is not None # 原正解 canonical="蒸",镜像正解 canonical="炒" → 相异,有效 assert mirror.answer == "A" assert mirror.options[0] == "A. 炒" @pytest.mark.asyncio async def test_mirror_same_correct_rejected(): # 镜像正解 canonical 仍是"蒸" → 造不出有效对 → None vlm = _FakeVLM('{"mirror": {"question": "X 之后?", ' '"options": ["A. 蒸", "B. 炒", "C. 煮", "D. 炸"], "answer": "A"}}') mirror = await generate_mirror_question( _q(), flip_axis="before/after", vlm=vlm, material=_FakeMaterial(), session_id="s", ) assert mirror is None @pytest.mark.asyncio async def test_mirror_null_returns_none(): vlm = _FakeVLM('{"mirror": null}') mirror = await generate_mirror_question( _q(), flip_axis="before/after", vlm=vlm, material=_FakeMaterial(), session_id="s", ) assert mirror is None @pytest.mark.asyncio async def test_mirror_malformed_response_returns_none(): # 畸形 VLM 响应(连 json_repair 都救不回)不得抛异常中断本轮,须返 None vlm = _FakeVLM("对不起,我无法完成这个请求。") mirror = await generate_mirror_question( _q(), flip_axis="before/after", vlm=vlm, material=_FakeMaterial(), session_id="s", ) assert mirror is None class _FakeMaterial: subtitle_sentences = ["先炒后蒸"] frame_paths = ["/f1.jpg"]