feat: add pure decision core for adversarial filter (hash/fingerprint/canonical/flip)

tests/unit/test_adversarial_filter_core.py

@@ -0,0 +1,63 @@
+"""adversarial_filter 纯判定：hash / 指纹 / canonical / 翻转判定。"""
+
+from app.question_gen.adversarial_filter import (
+    FlipDecision,
+    agent_config_fingerprint,
+    canonical_answer_text,
+    judge_flip,
+    question_hash,
+)
+from core.types import GeneratedQuestion
+
+
+def _q(qid="q1", options=("A. 蒸", "B. 炒", "C. 煮", "D. 炸"), answer="A"):
+    return GeneratedQuestion(
+        question_id=qid, video_id="v1", task_type="Action Recognition",
+        question="?", options=options, answer=answer,
+        source_nodes=("n1",), difficulty="hard",
+        sub_pattern="temporal_reasoning_failure",
+    )
+
+
+def test_question_hash_stable_and_payload_sensitive():
+    h1 = question_hash(_q())
+    h2 = question_hash(_q())
+    assert h1 == h2
+    h3 = question_hash(_q(answer="B"))  # answer 变 → hash 变
+    assert h1 != h3
+    h4 = question_hash(_q(options=("A. 蒸", "B. 炒", "C. 煮", "D. 烤")))  # option 变 → 变
+    assert h1 != h4
+
+
+def test_agent_config_fingerprint_changes_with_inputs():
+    a = agent_config_fingerprint(skill_mode="auto", max_steps=40, model="m1")
+    b = agent_config_fingerprint(skill_mode="auto", max_steps=41, model="m1")
+    c = agent_config_fingerprint(skill_mode="manual", max_steps=40, model="m1")
+    assert a != b and a != c
+
+
+def test_canonical_answer_text_maps_letter_to_option_text():
+    assert canonical_answer_text(_q(), "C") == "煮"
+    assert canonical_answer_text(_q(), "c") == "煮"
+
+
+def test_canonical_answer_text_invalid_returns_none():
+    assert canonical_answer_text(_q(), "Z") is None
+    assert canonical_answer_text(_q(), "") is None
+    assert canonical_answer_text(_q(), None) is None
+
+
+def test_judge_flip_different_answers_passed():
+    # P 选"蒸"，Q（镜像）选"炒"→ 语义不同 → passed
+    d = judge_flip(p_text="蒸", q_text="炒")
+    assert d is FlipDecision.PASSED
+
+
+def test_judge_flip_same_answer_filtered():
+    d = judge_flip(p_text="蒸", q_text="蒸")
+    assert d is FlipDecision.FILTERED_NO_FLIP
+
+
+def test_judge_flip_invalid_answer_skipped():
+    assert judge_flip(p_text=None, q_text="炒") is FlipDecision.FLIP_SKIPPED
+    assert judge_flip(p_text="蒸", q_text=None) is FlipDecision.FLIP_SKIPPED