统一实时标定身份解析并规范行尾

控制器与两个对话框共用 CalibrationService.read_identity，解析失败与缺 SN 分开上报；
本轮改动文件统一 LF，SN 必填回归已锁定。
定向 73 项、校准 UI 8 项与 lint 通过；未跑全量门禁。

apps/studio/tests/test_bare_video_analysis.py

@@ -742,6 +742,31 @@ def test_analysis_setup_reopens_the_prompt_after_the_first_pass(
     assert window.replay_ctl.available_result() is not None
 
 
+def _coefficient_document(directory: Path, *, sensor_type: str, sn: str) -> Path:
+    """A v2 coefficient document the SDK's own parser accepts (a real export shape).
+
+    The analysis prompt now reads a Finger file's identity through
+    ``CalibrationService`` — the strict parser — so a ``meta`` block in arbitrary
+    JSON is not an identity.
+    """
+    from orisys_app_shared.force.calibration_io import (
+        CalSample,
+        CalSessionStore,
+        build_export_model,
+    )
+
+    store = CalSessionStore()
+    store.aggregate("fn", CalSample(weight_n=0.0, raw_mean=0.0, n=10))
+    store.aggregate("fn", CalSample(weight_n=5.0, raw_mean=500.0, n=10))
+    model = build_export_model({key: store.channel(key) for key in ("fn", "fx", "fy")})
+    document = model.to_dict()
+    document["identity"] = {"sensor_type": sensor_type, "sn": sn}
+    document["pipeline"] = {"config_ref": "D:/lab/sensor.json"}
+    path = directory / f"{sensor_type}-{sn}.json"
+    path.write_text(json.dumps(document), encoding="utf-8")
+    return path
+
+
 def test_a_finger_calibration_file_must_name_the_same_device(qt_app, tmp_path):
     """A browsed Finger file is accepted only when the device id matches its SN."""
     import cv2
@@ -763,11 +788,7 @@ def test_a_finger_calibration_file_must_name_the_same_device(qt_app, tmp_path):
         None,
     )
     assert finger is not None, "the catalog has no startable Finger profile"
-    path = tmp_path / "DD02-14.json"
-    path.write_text(
-        json.dumps({"meta": {"sensor_type": "finger", "sn": "DD02-14"}}),
-        encoding="utf-8",
-    )
+    path = _coefficient_document(tmp_path, sensor_type="finger", sn="DD02-14")
     dialog = VideoAnalysisDialog(video=clip, facts=facts, catalog=catalog)
     try:
         assert dialog.select_profile(finger.ref)