update filter, flow ema 0.5 + med 3

src/orisys/calibration.py

@@ -242,7 +242,9 @@ class Calibration:
         meta: dict[str, Any] = {}
         meta.update(self.provenance)
         meta.update({k: v for k, v in self.identity.items() if k not in meta})
-        for key in ("stitch_resolution", "dis_mode", "hhd_downsample", "config_ref"):
+        for key in ("stitch_resolution", "dis_mode", "hhd_downsample",
+                   "flow_ema_alpha", "force_median_window", "force_lowpass_cutoff_hz",
+                   "config_ref"):
             if key in self.pipeline and self.pipeline[key] is not None:
                 meta[key] = self.pipeline[key]
         if self.measurements:
@@ -387,7 +389,8 @@ def check(doc: dict | Calibration, *, pipeline: dict | None = None) -> CheckResu
         warns.append("empty sn on factory calibration")
 
     if pipeline is not None and isinstance(doc, Calibration):
-        for key in ("stitch_resolution", "dis_mode", "hhd_downsample"):
+        for key in ("stitch_resolution", "dis_mode", "hhd_downsample",
+                "flow_ema_alpha", "force_median_window", "force_lowpass_cutoff_hz"):
             if key in doc.pipeline and key in pipeline and doc.pipeline[key] != pipeline[key]:
                 warns.append(f"pipeline mismatch: {key}")
 
@@ -601,11 +604,14 @@ def load(
 
 
 def pipeline_from_sensor_json(path: str | Path | None) -> dict[str, Any]:
-    """Pull stitch / tracker fields from a sensor.json for export pipeline/meta."""
+    """Pull stitch / tracker / filter fields from a sensor.json for export pipeline/meta."""
     pipeline: dict[str, Any] = {
         "stitch_resolution": None,
         "dis_mode": None,
         "hhd_downsample": None,
+        "flow_ema_alpha": None,
+        "force_median_window": None,
+        "force_lowpass_cutoff_hz": None,
         "config_ref": None,
     }
     if path is None:
@@ -622,6 +628,7 @@ def pipeline_from_sensor_json(path: str | Path | None) -> dict[str, Any]:
         return pipeline
     camera = data.get("camera") if isinstance(data.get("camera"), dict) else {}
     tracker = data.get("tracker") if isinstance(data.get("tracker"), dict) else {}
+    filters = data.get("filters") if isinstance(data.get("filters"), dict) else {}
     stitch = camera.get("resolution_stitch")
     if isinstance(stitch, (list, tuple)) and len(stitch) >= 2:
         pipeline["stitch_resolution"] = [int(stitch[0]), int(stitch[1])]
@@ -635,6 +642,29 @@ def pipeline_from_sensor_json(path: str | Path | None) -> dict[str, Any]:
             pipeline["hhd_downsample"] = int(tracker["hhd_downsample"])
         except (TypeError, ValueError):
             pipeline["hhd_downsample"] = tracker.get("hhd_downsample")
+    # Signal-conditioning settings change the reported force values, so they
+    # belong to the pipeline identity just like dis_mode / hhd_downsample.
+    if filters:
+        enabled = bool(filters.get("enabled", True))
+        for key in ("flow_ema_alpha", "force_lowpass_cutoff_hz"):
+            if key in filters:
+                try:
+                    pipeline[key] = float(filters[key]) if enabled else 0.0
+                except (TypeError, ValueError):
+                    pipeline[key] = filters.get(key)
+            elif key == "flow_ema_alpha":
+                pipeline[key] = 0.5 if enabled else 0.0
+            else:
+                pipeline[key] = 10.0 if enabled else 0.0
+        if "force_median_window" in filters:
+            try:
+                pipeline["force_median_window"] = (
+                    int(filters["force_median_window"]) if enabled else 1
+                )
+            except (TypeError, ValueError):
+                pipeline["force_median_window"] = filters.get("force_median_window")
+        else:
+            pipeline["force_median_window"] = 3 if enabled else 1
     return pipeline
 
 
@@ -717,7 +747,8 @@ def build(
         for k, v in extra_meta.items():
             if k == "samples":
                 continue
-            if k in ("stitch_resolution", "dis_mode", "hhd_downsample", "config_ref"):
+            if k in ("stitch_resolution", "dis_mode", "hhd_downsample", "config_ref",
+                "flow_ema_alpha", "force_median_window", "force_lowpass_cutoff_hz"):
                 if k not in pipeline or pipeline[k] is None:
                     pipeline[k] = v
             elif k in ("sensor_type", "sn", "hardware_rev", "gel_id"):