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

app/services/video/inference_aggregator.py

@@ -10,7 +10,7 @@ from __future__ import annotations
 import time
 from dataclasses import dataclass
 
-from app.config import Settings
+from app.baked import algorithm as ba
 from app.services.consumable_vision_algorithm import (
     ClsTop3,
     PredictionResult,
@@ -40,8 +40,8 @@ class WindowInferenceAggregator:
     便于与原逻辑保持一致；调用方在持有 ``state.lock`` 时调用下面的方法。
     """
 
-    def __init__(self, *, settings: Settings) -> None:
-        self._s = settings
+    def __init__(self) -> None:
+        pass
 
     def ingest_snapshot_and_collect_ready(
         self,
@@ -57,7 +57,7 @@ class WindowInferenceAggregator:
         """
         _ = surgery_id
         _ = camera_id
-        wsec = self._s.consumable_vision_window_sec
+        wsec = ba.CONSUMABLE_VISION_WINDOW_SEC
         ready: list[WindowInferenceReady] = []
         cis = state.camera_infer.setdefault(camera_id, CameraStreamInferState())
         if cis.stream_t0 is None: