feat: 手术视频消耗、待确认与持久化改造

- 新增 Alembic 初始迁移、领域明细模型及归档持久化与重试链路\n- 拆分视频会话注册表、分类处理、推理时间窗聚合与流处理\n- 消耗日志：TSV/Markdown 含 top2/top3；item_id 优先产品编码；待确认记「待确认」行，语音确认后落正式行并更新汇总\n- 待确认时内存/DB 明细为占位行，确认后替换；拒绝时移除占位\n- 分类 probs 先 detach/cpu 再转 NumPy，修复 MPS/CUDA 上推理被静默跳过\n- 补充集成测试、归档与设备张量等单测

Made-with: Cursor

tests/test_effective_candidate_consumables.py

@@ -0,0 +1,51 @@
+"""effective_candidate_consumables：空请求时回退到目录或模型类名。"""
+
+from __future__ import annotations
+
+from pathlib import Path
+from unittest.mock import MagicMock
+
+import pytest
+from openpyxl import Workbook
+
+from app.config import Settings
+from app.services.consumable_vision_algorithm import ConsumableVisionAlgorithmService
+
+
+def test_effective_preserves_non_empty_request() -> None:
+    svc = ConsumableVisionAlgorithmService(Settings())
+    got = svc.effective_candidate_consumables([" 纱布 ", "缝线", "纱布"])
+    assert got == ["纱布", "缝线"]
+
+
+def test_effective_empty_uses_model_class_names(monkeypatch: pytest.MonkeyPatch) -> None:
+    svc = ConsumableVisionAlgorithmService(Settings())
+    mock_cls = MagicMock()
+    mock_cls.names = {0: "ban", 1: "apple"}
+    monkeypatch.setattr(svc, "_get_cls", lambda: mock_cls)
+    assert svc.effective_candidate_consumables([]) == ["apple", "ban"]
+
+
+def test_effective_empty_prefers_catalog_xlsx(tmp_path: Path) -> None:
+    xlsx = tmp_path / "cat.xlsx"
+    wb = Workbook()
+    ws = wb.active
+    ws.append(["产品编码", "商品名称"])
+    ws.append(["C1", "商品乙"])
+    ws.append(["C2", "商品甲"])
+    wb.save(xlsx)
+
+    settings = Settings(consumable_catalog_xlsx_path=str(xlsx))
+    svc = ConsumableVisionAlgorithmService(settings)
+    got = svc.effective_candidate_consumables([])
+    assert got == ["商品乙", "商品甲"]
+
+
+def test_effective_whitespace_only_treated_as_empty(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    svc = ConsumableVisionAlgorithmService(Settings())
+    mock_cls = MagicMock()
+    mock_cls.names = {0: "x"}
+    monkeypatch.setattr(svc, "_get_cls", lambda: mock_cls)
+    assert svc.effective_candidate_consumables(["", "  "]) == ["x"]