让 Finger 视频分析使用所选的力标定文件。

分析链不再在打开前拒绝标定，而是把文件作为 cal_path 交给 FingerRuntime，并用操作者确认的设备编号核对文件里的 SN。标定传递测试与对话框 SN 校验通过。

shared/tests/test_finger_chain_calibration.py

@@ -0,0 +1,55 @@
+"""A chosen Finger calibration is handed to the runtime, not refused before it opens."""
+
+from __future__ import annotations
+
+from orisys_app_shared.analysis.service import ChainSpec, _OpenChain
+
+
+class _Runtime:
+    tactile = object()
+    capture = None
+    opened: dict = {}
+
+    @classmethod
+    def open(cls, **kwargs):
+        cls.opened = dict(kwargs)
+        return cls()
+
+    def read_source(self):
+        return False, None
+
+    def process_frame(self, frame):
+        return None
+
+
+def test_a_finger_chain_passes_the_chosen_file_and_device(monkeypatch, tmp_path):
+    import orisys.finger as finger
+
+    monkeypatch.setattr(finger, "FingerRuntime", _Runtime)
+    _Runtime.opened = {}
+    calibration = tmp_path / "DD02-14.json"
+    calibration.write_text("{}", encoding="utf-8")
+    video = tmp_path / "clip.mp4"
+    video.write_bytes(b"")
+    spec = ChainSpec(
+        sensor_type="finger",
+        calibration=calibration,
+        device_id="DD02-14",
+    )
+    _OpenChain(spec, video, tmp_path).open()
+    assert _Runtime.opened["cal_path"] == str(calibration)
+    assert _Runtime.opened["device_id"] == "DD02-14"
+    assert _Runtime.opened["video"] == str(video)
+
+
+def test_a_finger_chain_without_a_file_does_not_invent_one(monkeypatch, tmp_path):
+    import orisys.finger as finger
+
+    monkeypatch.setattr(finger, "FingerRuntime", _Runtime)
+    _Runtime.opened = {}
+    video = tmp_path / "clip.mp4"
+    video.write_bytes(b"")
+    spec = ChainSpec(sensor_type="finger")
+    _OpenChain(spec, video, tmp_path).open()
+    assert "cal_path" not in _Runtime.opened
+    assert "device_id" not in _Runtime.opened