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_consumption_tsv_log.py

@@ -47,7 +47,7 @@ def test_build_tsv_line_matches_sample_shape(monkeypatch: pytest.MonkeyPatch) ->
         wall_end_epoch=w0 + 45.0,
     )
     parts = line.rstrip("\n").split("\t")
-    assert len(parts) == 5
+    assert len(parts) == 9
     assert parts[0] == "2237844"
     assert parts[1] == "一次性医用灭菌棉签"
     assert parts[2] == "1"
@@ -58,6 +58,10 @@ def test_build_tsv_line_matches_sample_shape(monkeypatch: pytest.MonkeyPatch) ->
         + _RANGE_SEP
         + "2024-01-01T00:00:45.000+00:00"
     )
+    assert parts[5] == "cls2"
+    assert parts[6] == "0.0003"
+    assert parts[7] == "cls3"
+    assert parts[8] == "0.0002"
 
 
 def test_resolve_consumption_item_id_uses_normalized_catalog_key() -> None:
@@ -67,7 +71,17 @@ def test_resolve_consumption_item_id_uses_normalized_catalog_key() -> None:
 
 def test_header_columns() -> None:
     cols = HEADER.strip().split("\t")
-    assert cols == ["item_id", "item_name", "qty", "doctor_id", "timestamp"]
+    assert cols == [
+        "item_id",
+        "item_name",
+        "qty",
+        "doctor_id",
+        "timestamp",
+        "top2_name",
+        "top2_conf",
+        "top3_name",
+        "top3_conf",
+    ]
 
 
 def test_per_surgery_file_init_and_append(
@@ -137,8 +151,10 @@ def test_build_consumption_markdown_top123_columns(monkeypatch: pytest.MonkeyPat
         wall_end_epoch=w0 + 45.0,
     )
     assert "| item_id |" in md and "| item_name |" in md and "| qty |" in md
+    assert "| top2 |" in md and "| top3 |" in md
     assert "2237844" in md
     assert "一次性医用灭菌棉签" in md
+    assert "cls2" in md and "cls3" in md
     assert "DOCTOR_PLACEHOLDER" in md
     assert "| 1 |" in md
     # 终端为可读时间戳，非落盘用 ISO@cam