"""撕段门控 + 段合并的纯逻辑单测(不加载 YOLO)。""" from __future__ import annotations import numpy as np import pytest from app.services.tear_gated_segment_consumption.product_map import ( load_tear_segment_name_to_id, resolve_tear_segment_labels_yaml_path, ) from app.services.tear_gated_segment_consumption.runner import haocai_mean_topk from app.services.tear_gated_segment_consumption.segments import merge_tear_segments def test_merge_tear_segments_one_valid() -> None: dt = 0.04 rows: list[tuple[int, float, bool, str]] = [ (i, i * dt, True, "A") for i in range(40) ] segs = merge_tear_segments( rows, min_tear_sec=1.2, min_gap_sec=1.0, ) assert len(segs) == 1 assert segs[0]["start_frame"] == 0 assert segs[0]["end_frame"] == 39 def test_haocai_mean_topk() -> None: names = {0: "A", 1: "B"} a = np.array([0.2, 0.8, 0.0], dtype=np.float32) b = np.array([0.2, 0.8, 0.0], dtype=np.float32) t1, c1, t2, c2, t3, c3 = haocai_mean_topk([a, b], names) assert t1 == "B" assert abs(c1 - 0.8) < 1e-5 def test_load_tear_segment_name_to_id_uses_package_yaml() -> None: p = resolve_tear_segment_labels_yaml_path() assert p.name == "consumable_classifier_labels.yaml" m = load_tear_segment_name_to_id() assert "一次性使用灭菌橡胶外科手套" in m or len(m) >= 1 @pytest.mark.asyncio async def test_append_confirmed_detail_tear_cooldown_keys() -> None: """同 item_id 多段在独立 cooldown_key 下应都能写入。""" from app.services.video.session_registry import SurgerySessionRegistry, SurgerySessionState reg = SurgerySessionRegistry() st = SurgerySessionState(candidate_consumables=["X"], name_to_code={"X": "id1"}) await reg.append_confirmed_detail( state=st, item_id="SAME", item_name="A", doctor_id="d", source="tear_segment", cooldown_key="s1:seg:1", ) await reg.append_confirmed_detail( state=st, item_id="SAME", item_name="A", doctor_id="d", source="tear_segment", cooldown_key="s1:seg:2", ) assert len(st.details) == 2