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/tear_gated_segment_consumption/report.py

@@ -0,0 +1,47 @@
+"""与离线 demo main.py 同结构的段级文本报告（可选落盘）。"""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+from app.services.tear_gated_segment_consumption.runner import TearGatedSegmentRecord
+
+
+def write_tear_segment_txt(
+    *,
+    path: Path,
+    surgery_id: str,
+    camera_id: str,
+    labels_source: str,
+    records: list[TearGatedSegmentRecord],
+) -> None:
+    path.parent.mkdir(parents=True, exist_ok=True)
+    lines: list[str] = []
+    lines.append("耗材消耗推断（撕段模式 / FastAPI）")
+    lines.append(f"手术: {surgery_id}  camera: {camera_id}")
+    lines.append(f"类名→label_id YAML: {labels_source}")
+    lines.append(
+        "说明: 人手检测 -> 撕二分类 -> 好帧门控(坏帧不判耗材) -> 41 类; "
+        "段内为概率向量平均; 众数作展示对照"
+    )
+    lines.append("")
+    for rec in records:
+        line = "\t".join(
+            [
+                f"段{rec.segment_index}",
+                f"时间戳(秒)={rec.mid_stream_sec:.3f};范围={rec.start_sec:.2f}~{rec.end_sec:.2f}",
+                f"物品id={rec.item_id}",
+                f"物品名称(模型top1)={rec.item_name}",
+                f"top1置信度(段内平均)={rec.top1_conf:.4f}",
+                f"top2={rec.top2_name}",
+                f"top2_conf={rec.top2_conf:.4f}",
+                f"top3={rec.top3_name}",
+                f"top3_conf={rec.top3_conf:.4f}",
+                f"段内众数(参考)={rec.majority_ref}",
+                f"消耗数量=1",
+                f"医生id=暂无",
+            ]
+        )
+        lines.append(line)
+        lines.append("")
+    path.write_text("\n".join(lines) + "\n", encoding="utf-8")