修正多点录制诊断的采集文件定位

从 repeat/capture 读取帧、力和采集来源，使诊断符合现有录制目录。既有诊断检查和多点目录案例通过，该案例在 HEAD 原实现中失败。

apps/autocal/src/orisys_autocal/record_diagnostics.py

@@ -13,16 +13,25 @@ def trial_diagnostics(root: Path, trial: dict) -> dict:
     path = (root / trial.get("directory", "__missing_trial__")).resolve()
     if not path.is_relative_to(root.resolve()):
         raise ValueError("trial directory is outside the calibration session")
+    frame_path = path
+    try:
+        manifest = json.loads((root / "session.json").read_text(encoding="utf-8"))
+        if manifest.get("format_version") == "autocal-multipoint-1.0":
+            frame_path = (path / "capture").resolve()
+            if not frame_path.is_relative_to(root.resolve()):
+                raise ValueError("frame directory is outside the calibration session")
+    except (OSError, json.JSONDecodeError) as exc:
+        result["errors"].append(str(exc))
 
-    def rows(name):
+    def rows(name, directory=path):
         try:
-            with (path / name).open(encoding="utf-8-sig", newline="") as handle:
+            with (directory / name).open(encoding="utf-8-sig", newline="") as handle:
                 return list(csv.DictReader(handle))
         except OSError:
             result["errors"].append(name)
             return []
 
-    frames = rows("frames.csv")
+    frames = rows("frames.csv", frame_path)
     frame_by_id = {row["frame_id"]: row for row in frames if row.get("frame_id")}
     result["frames"] = len(frames)
     result["dropped"] = sum(r.get("dropped") == "1" for r in frames)
@@ -33,7 +42,7 @@ def trial_diagnostics(root: Path, trial: dict) -> dict:
                 stamps[int(row["frame_id"])] = int(row["t_host_mono_ns"])
         ordered = sorted(stamps.values())
         result["max_gap_s"] = max((b - a for a, b in zip(ordered, ordered[1:])), default=0) / 1e9
-        for row in rows("forces.csv"):
+        for row in rows("forces.csv", frame_path):
             stamp = stamps.get(int(row["frame_id"]))
             raw = float(row["FN_raw"]) if row.get("FN_raw") else math.nan
             if row.get("valid") != "1" or not math.isfinite(raw) or stamp is None:
@@ -50,6 +59,14 @@ def trial_diagnostics(root: Path, trial: dict) -> dict:
         metadata = json.loads((path / "session.json").read_text(encoding="utf-8"))
         result["source"] = metadata.get("input_source", {})
         result["time_basis"] = metadata.get("time_basis", "")
+        if frame_path != path:
+            capture = json.loads((frame_path / "session.json").read_text(encoding="utf-8"))
+            result["source"] = capture.get("input_source", {})
+            bases = {row.get("time_basis") for row in frames if row.get("time_basis")}
+            result["time_basis"] = next(iter(bases)) if len(bases) == 1 else ""
+            if not result["source"]:
+                kind = {"host_camera": "camera", "host_replay": "video"}.get(result["time_basis"])
+                result["source"] = {"kind": kind} if kind else {}
         result["reason"] = metadata.get("trial_reason") or result["reason"]
     except (OSError, ValueError, KeyError, TypeError) as exc:
         result["errors"].append(str(exc))