feat: 配置写死与 baked 模块，Alembic 建表，百度仅 BAIDU_*

- 新增 app/baked/algorithm|pipeline，非部署参数不再走 env；Settings 保留 DB/HTTP/RTSP/海康/百度/MinIO/Demo
- 移除 init_db_schema 与 reload 配置；main 仅 check_database；start*.sh 在 uvicorn 前执行 alembic upgrade head
- 依赖 psycopg[binary] 供 Alembic 同步 URL；alembic/env 注释与预发清单更新
- 撕段门控消费管线、各视频/语音/归档调用改为 baked
- 百度环境变量仅 BAIDU_APP_ID、BAIDU_API_KEY、BAIDU_SECRET_KEY 与 BAIDU_* 超时/ASR；人脸脚本与 baidu_speech 文案同步
- 全量单测与 .env.example 更新；.gitignore 忽略 refs/（本地权重/视频不入库）

Made-with: Cursor

tests/test_tear_gated_segment_consumption.py

@@ -0,0 +1,70 @@
+"""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