updates

csv_preprocessor.py

@@ -892,12 +892,27 @@ def analyze_lp_file(path: Path) -> "LPMetrics":
       HS     : voltage in mid-range with high oscillation (rolling std > HS_OSC_STD_V)
       trans  : everything else (transitions between states)
     """
-    m = re.match(r"(\d{8}_\d{6})_lp_(\d+)_(clk|dat)\.csv", path.name, re.IGNORECASE)
+    # Accept three filename formats:
+    #   legacy:    "_lp_0001_"
+    #   watch:     "_lp_c001_01_"
+    #   segmented: "_lp_c001_01_seg005_" (one segment exploded from H5)
+    m = re.match(
+        r"(\d{8}_\d{6})_lp_(c\d+_\d+(?:_seg\d+)?|\d+)_(clk|dat)\.csv",
+        path.name, re.IGNORECASE,
+    )
     if not m:
         raise ValueError(f"Filename does not match lp pattern: {path.name}")
 
     timestamp, cap_str, channel = m.groups()
-    capture_num = int(cap_str)
+    # Derive an int capture_num from whatever digits the id contains, so it
+    # remains sortable (e.g., c001_01_seg005 → 1*1_000_000 + 1*1_000 + 5).
+    digit_groups = re.findall(r"\d+", cap_str)
+    if len(digit_groups) == 1:
+        capture_num = int(digit_groups[0])
+    else:
+        capture_num = 0
+        for i, d in enumerate(reversed(digit_groups)):
+            capture_num += int(d) * (1000 ** i)
 
     times, volts = _read_csv(path)
     dt           = float(np.diff(times).mean())