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_effective_candidate_consumables.py

@@ -7,12 +7,11 @@ from unittest.mock import MagicMock
 
 import pytest
 
-from app.config import Settings
 from app.services.consumable_vision_algorithm import ConsumableVisionAlgorithmService
 
 
 def test_effective_preserves_non_empty_request() -> None:
-    svc = ConsumableVisionAlgorithmService(Settings())
+    svc = ConsumableVisionAlgorithmService()
     got = svc.effective_candidate_consumables([" 纱布 ", "缝线", "纱布"])
     assert got == ["纱布", "缝线"]
 
@@ -22,8 +21,7 @@ def test_effective_empty_uses_model_when_yaml_has_no_names(
 ) -> None:
     yml = tmp_path / "empty.yaml"
     yml.write_text("names: {}\nlabel_id: {}\n", encoding="utf-8")
-    s = Settings(consumable_classifier_labels_yaml_path=str(yml))
-    svc = ConsumableVisionAlgorithmService(s)
+    svc = ConsumableVisionAlgorithmService(labels_yaml_path=str(yml))
     mock_cls = MagicMock()
     mock_cls.names = {0: "ban", 1: "apple"}
     monkeypatch.setattr(svc, "_get_cls", lambda: mock_cls)
@@ -36,8 +34,7 @@ def test_effective_empty_prefers_yaml_class_names(tmp_path: Path) -> None:
         "names:\n  0: 商品甲\n  1: 商品乙\nlabel_id:\n  0: a\n  1: b\n",
         encoding="utf-8",
     )
-    s = Settings(consumable_classifier_labels_yaml_path=str(yml))
-    svc = ConsumableVisionAlgorithmService(s)
+    svc = ConsumableVisionAlgorithmService(labels_yaml_path=str(yml))
     assert svc.effective_candidate_consumables([]) == ["商品甲", "商品乙"]
 
 
@@ -46,8 +43,7 @@ def test_effective_whitespace_only_treated_as_empty(
 ) -> None:
     yml = tmp_path / "empty.yaml"
     yml.write_text("names: {}\nlabel_id: {}\n", encoding="utf-8")
-    s = Settings(consumable_classifier_labels_yaml_path=str(yml))
-    svc = ConsumableVisionAlgorithmService(s)
+    svc = ConsumableVisionAlgorithmService(labels_yaml_path=str(yml))
     mock_cls = MagicMock()
     mock_cls.names = {0: "x"}
     monkeypatch.setattr(svc, "_get_cls", lambda: mock_cls)
@@ -60,8 +56,7 @@ def test_build_name_mapping_from_label_id(tmp_path: Path) -> None:
         "names:\n  0: 商品A\nlabel_id:\n  0: y1/y2\n",
         encoding="utf-8",
     )
-    s = Settings(consumable_classifier_labels_yaml_path=str(yml))
-    svc = ConsumableVisionAlgorithmService(s)
+    svc = ConsumableVisionAlgorithmService(labels_yaml_path=str(yml))
     m = svc.build_name_mapping(["商品A"])
     assert m["商品A"] == "y1/y2"
 
@@ -74,7 +69,6 @@ def test_build_name_mapping_uses_name_when_no_id_in_yaml(
         "names:\n  0: 仅表内有的\nlabel_id: {}\n",
         encoding="utf-8",
     )
-    s = Settings(consumable_classifier_labels_yaml_path=str(yml))
-    svc = ConsumableVisionAlgorithmService(s)
+    svc = ConsumableVisionAlgorithmService(labels_yaml_path=str(yml))
     m = svc.build_name_mapping(["仅表内有的"])
     assert m["仅表内有的"] == "仅表内有的"