feat(fish_api): SQLite 快照投递、日志与 watch 空闲告警

- 新增 SQLite：measure/health 快照、delivery_cursor 单消费者 pop；clear/start_fresh 可清空库
- biomass GET 仅返回约定 data 字段，X-Fish-Biomass-New 表示是否有新快照；poller 读响应头
- loguru 桥接 uvicorn，子进程 stdout 流式输出；format_json_pretty 与算法摘要日志
- measure/action watch 无新任务时限流 WARNING；watch_idle 共用逻辑
- 依赖 loguru；新增 db、logging_config、subprocess_run、watch_idle、启动脚本

FishMeasure: 更新 fish_video_weight_evaluation 与 predict_weigth_from_svo2；移除未用 refbox/segmentation 脚本
Made-with: Cursor

FishMeasure/predict_weigth_from_svo2.py

@@ -102,6 +102,19 @@ def _run_fish_video_evaluation_subprocess(args: argparse.Namespace, *, batch_fol
         cmd.append("--use-flatness-filter")
         cmd.extend(["--flatness-threshold", str(args.flatness_threshold)])
 
+    if getattr(args, "fish_video_weight_overlay", False):
+        wck = Path(args.weight_checkpoint).expanduser().resolve()
+        cmd.extend(
+            [
+                "--run-weight-estimation",
+                "--weight-estimator-checkpoint",
+                str(wck),
+                "--weight-overlay-video",
+                "--minute-interval-sec",
+                str(getattr(args, "minute_interval_sec", 60.0)),
+            ]
+        )
+
     print(f"Invoking fish_video_weight_evaluation.py:\n  {' '.join(cmd)}")
     proc = subprocess.run(cmd, cwd=str(REPO_ROOT))
     if proc.returncode != 0:
@@ -277,6 +290,7 @@ def run_weight_prediction_for_svo(
     weight_outlier_method: str,
     weight_xyz_scale: float,
     weight_labels_json: Optional[str],
+    force_dgcnn_subprocess: bool = False,
 ) -> Dict[str, Any]:
     svo_path = svo_path.expanduser().resolve()
     if not svo_path.exists():
@@ -293,6 +307,28 @@ def run_weight_prediction_for_svo(
             f"fish_video_weight_evaluation.py first."
         )
 
+    fish_wj = out_dir / "weight_estimation" / "weight_estimation_results.json"
+    if not force_dgcnn_subprocess and fish_wj.is_file():
+        try:
+            dgcnn_data = json.loads(fish_wj.read_text(encoding="utf-8"))
+            if dgcnn_data.get("summary") is not None or dgcnn_data.get("per_file"):
+                print(f"Using existing DGCNN results from fish_video: {fish_wj}")
+                result = _merge_weight_prediction_json(
+                    svo_path=svo_path,
+                    svo_name=svo_name,
+                    out_dir=out_dir,
+                    cloud_dir=cloud_dir,
+                    dgcnn_json_path=fish_wj,
+                    dgcnn_data=dgcnn_data,
+                )
+                (out_dir / "weight_prediction.json").write_text(
+                    json.dumps(_sanitize_for_json(result), indent=2, ensure_ascii=False),
+                    encoding="utf-8",
+                )
+                return result
+        except Exception as e:
+            print(f"WARNING: Could not merge {fish_wj}, falling back to test_dgcnn subprocess: {e}")
+
     dgcnn_path, dgcnn_data = _run_test_dgcnn_weight_estimator_subprocess(
         cloud_dir=cloud_dir,
         ply_list_file=None,
@@ -468,6 +504,24 @@ def main() -> None:
     )
     parser.add_argument("--no-reuse-existing-clouds", action="store_false", dest="reuse_existing_clouds")
 
+    parser.add_argument(
+        "--fish-video-weight-overlay",
+        action="store_true",
+        help="Run fish_video with DGCNN + preview video overlay (fish weight g, top-5, per-window avg). "
+        "Avoids a duplicate test_dgcnn pass when weight_estimation_results.json is present.",
+    )
+    parser.add_argument(
+        "--minute-interval-sec",
+        type=float,
+        default=60.0,
+        help="Passed to fish_video --minute-interval-sec for on-video bucket stats (default: 60).",
+    )
+    parser.add_argument(
+        "--force-dgcnn-subprocess",
+        action="store_true",
+        help="Always run test_dgcnn_weight_estimator.py subprocess even if fish_video left weight_estimation_results.json.",
+    )
+
     args = parser.parse_args()
     if args.frame_stride < 1:
         raise SystemExit("--frame-stride must be >= 1")
@@ -551,6 +605,7 @@ def main() -> None:
                         weight_outlier_method=args.weight_outlier_method,
                         weight_xyz_scale=args.weight_xyz_scale,
                         weight_labels_json=args.weight_labels_json,
+                        force_dgcnn_subprocess=args.force_dgcnn_subprocess,
                     )
                 )
             except Exception as e: