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/segments.py

@@ -0,0 +1,78 @@
+"""撕段时间线合并（与离线 demo 一致）。"""
+
+from __future__ import annotations
+
+from collections import Counter
+
+
+def merge_tear_segments(
+    rows: list[tuple[int, float, bool, str]],
+    min_tear_sec: float = 3.0,
+    min_gap_sec: float = 1.5,
+) -> list[dict]:
+    """
+    rows: (frame_idx_in_clip, abs_time_sec, is_tear, consumable_label_or_empty)
+    """
+    raw_segs: list[dict] = []
+    cur: dict | None = None
+
+    for frame_idx, t, is_tear, label in rows:
+        if is_tear:
+            if cur is None:
+                cur = {
+                    "t0": t,
+                    "t1": t,
+                    "f0": frame_idx,
+                    "f1": frame_idx,
+                    "labels": [],
+                }
+            else:
+                gap = t - cur["t1"]
+                if gap > min_gap_sec:
+                    raw_segs.append(cur)
+                    cur = {
+                        "t0": t,
+                        "t1": t,
+                        "f0": frame_idx,
+                        "f1": frame_idx,
+                        "labels": [],
+                    }
+            cur["t1"] = t
+            cur["f1"] = frame_idx
+            if label:
+                cur["labels"].append(label)
+        else:
+            if cur is not None:
+                gap = t - cur["t1"]
+                if gap > min_gap_sec:
+                    raw_segs.append(cur)
+                    cur = None
+
+    if cur is not None:
+        raw_segs.append(cur)
+
+    valid: list[dict] = []
+    for s in raw_segs:
+        dur = s["t1"] - s["t0"]
+        if dur >= min_tear_sec - 1e-9:
+            valid.append(s)
+
+    out: list[dict] = []
+    for i, s in enumerate(valid, 1):
+        top_label = (
+            Counter(s["labels"]).most_common(1)[0][0]
+            if s["labels"]
+            else "（未识别耗材）"
+        )
+        out.append(
+            {
+                "index": i,
+                "start_sec": s["t0"],
+                "end_sec": s["t1"],
+                "duration_sec": s["t1"] - s["t0"],
+                "consumable": top_label,
+                "start_frame": s["f0"],
+                "end_frame": s["f1"],
+            }
+        )
+    return out