Fix viz

viz/to_json.py

@@ -1,3 +1,4 @@
+# viz/to_json.py
 # Copyright 2025 Google LLC
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,13 +18,20 @@
 import re
 import numpy as np
 
+INT_RE = re.compile(r'-?\d+')
+
+def parse_int_list(text):
+    """Extract all integers from a string, tolerant to spaces/commas/brackets."""
+    return [int(x) for x in INT_RE.findall(text)]
+
 def parse_implicit_list(line, prefix):
     if not line.startswith(prefix):
         raise ValueError(f"Expected line to start with '{prefix}', got: {line}")
     list_part = line[len(prefix):].strip().rstrip(',')
     if not list_part:
         return []
-    return [int(x.strip()) for x in list_part.split(',') if x.strip()]
+    # Be tolerant: accept "1, 2, 3" or "1 2 3"
+    return parse_int_list(list_part)
 
 def parse_logfile(filepath):
     detector_coords = {}
@@ -38,21 +46,37 @@ def parse_logfile(filepath):
         line = lines[i].strip()
 
         if not any(line.startswith(s) for s in ['Error', 'Detector', 'activated_errors', 'activated_detectors']):
-          continue
+            i += 1
+            continue
 
         if line.startswith("Detector D"):
-            match = re.match(r'Detector D(\d+) coordinate \(([-\d.]+), ([-\d.]+), ([-\d.]+)\)', line)
+            # Example: "Detector D123 coordinate (1.0, 2.0, 3.0)"
+            match = re.match(
+                r'Detector D(\d+)\s+coordinate\s*\(\s*([-\d.]+)\s*,\s*([-\d.]+)\s*,\s*([-\d.]+)\s*\)',
+                line
+            )
             if match:
                 idx = int(match.group(1))
                 coord = tuple(float(match.group(j)) for j in range(2, 5))
                 detector_coords[idx] = coord
 
         elif line.startswith("Error{"):
-            match = re.search(r'Symptom\{([^\}]+)\}', line)
-            if match:
-                dets = match.group(1).split()
-                det_indices = [int(d[1:]) for d in dets if d.startswith('D')]
-                error_to_detectors.append(det_indices)
+            # New format: Error{..., symptom=Symptom{detectors=[75 89 93 100], observables=[...]}}
+            # Fallback: old format with "D###" tokens inside Symptom{...}
+            dets = []
+
+            m_detlist = re.search(r'detectors=\[([^\]]*)\]', line)
+            if m_detlist:
+                dets = parse_int_list(m_detlist.group(1))
+            else:
+                # Old fallback: scrape Symptom{...} and look for D###
+                m_sym = re.search(r'Symptom\{([^}]*)\}', line)
+                if m_sym:
+                    tokens = m_sym.group(1).split()
+                    dets = [int(t[1:]) for t in tokens if t.startswith('D') and t[1:].isdigit()]
+
+            # Store (even if empty—we keep the index alignment with errors)
+            error_to_detectors.append(dets)
 
         elif line.startswith("activated_errors"):
             try:
@@ -62,34 +86,39 @@ def parse_logfile(filepath):
                 activated_errors = parse_implicit_list(error_line, "activated_errors =")
                 activated_dets = parse_implicit_list(det_line, "activated_detectors =")
 
-                frame = {
+                frames.append({
                     "activated": activated_dets,
                     "activated_errors": activated_errors
-                }
-                frames.append(frame)
-                i += 1
+                })
+
+                # We consumed two lines in this block
+                i += 2
+                continue  # skip the unconditional i+=1 below (already advanced)
             except Exception as e:
                 print(f"\n⚠️ Error parsing frame at lines {i}-{i+1}: {e}")
                 print(f"  {lines[i].strip()}")
                 print(f"  {lines[i+1].strip() if i+1 < len(lines) else ''}")
+
         i += 1
 
     if not detector_coords:
         raise RuntimeError("No detectors parsed!")
 
+    # Center detector coordinates
     coords_array = np.array(list(detector_coords.values()))
     mean_coord = coords_array.mean(axis=0)
     for k in detector_coords:
         detector_coords[k] = (np.array(detector_coords[k]) - mean_coord).tolist()
 
+    # Error coordinates as mean of their detectors (if known)
     error_coords = {}
-    for i, det_list in enumerate(error_to_detectors):
+    for ei, det_list in enumerate(error_to_detectors):
         try:
             pts = np.array([detector_coords[d] for d in det_list if d in detector_coords])
             if len(pts) > 0:
-                error_coords[i] = pts.mean(axis=0).tolist()
+                error_coords[ei] = pts.mean(axis=0).tolist()
         except KeyError as e:
-            print(f"⚠️ Skipping error {i}: unknown detector {e}")
+            print(f"⚠️ Skipping error {ei}: unknown detector {e}")
 
     error_to_detectors_dict = {str(i): dets for i, dets in enumerate(error_to_detectors)}