Try training_status and stats_and_body for VO2 max (debug logging)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

backend/app/services/garmin_connect_sync.py

@@ -325,34 +325,33 @@ def sync_wellness(garmin, user_id: int, since: Optional[datetime], db,
             logger.warning("Failed to upsert health_metrics for %s: %s", day_str, exc)
             db.rollback()
 
-    # Fetch current VO2 max once via maxmet endpoint (slow-changing — only update today's row)
+    # Fetch current VO2 max once (slow-changing — only update today's row)
     today_str = date.today().isoformat()
-    mm_data = _safe(garmin.get_max_metrics, today_str)
-    logger.info("maxmet raw response: %s", mm_data)
+    ts_data  = _safe(garmin.get_training_status, today_str)
+    logger.info("training_status raw response: %s", ts_data)
+    sb_data  = _safe(garmin.get_stats_and_body, today_str)
+    logger.info("stats_and_body raw response: %s", sb_data)
     fa_data = _safe(garmin.get_fitnessage_data, today_str)
-    logger.info("fitnessage raw response: %s", fa_data)
 
     vo2 = None
-    if mm_data:
-        # maxmet returns a list of metric dicts or a wrapper
-        items = mm_data if isinstance(mm_data, list) else mm_data.get("allMetrics", {}).get("metricsMap", {})
-        if isinstance(items, list):
-            for item in items:
-                for key in ("vo2MaxPreciseValue", "vo2Max", "generic"):
-                    v = item.get(key)
-                    if v and isinstance(v, (int, float)) and float(v) > 0:
-                        vo2 = float(v)
-                        break
-                if vo2:
-                    break
-        elif isinstance(items, dict):
-            for key in ("VO2_MAX", "vo2Max", "vo2MaxPreciseValue"):
-                entry = items.get(key)
-                if entry:
-                    v = entry[0].get("value") if isinstance(entry, list) else entry.get("value")
-                    if v and float(v) > 0:
-                        vo2 = float(v)
-                        break
+    # Try training status first
+    if ts_data and not vo2:
+        for key in ("vo2MaxPreciseValue", "vo2Max", "latestVO2Max"):
+            v = ts_data.get(key)
+            if v and isinstance(v, (int, float)) and float(v) > 0:
+                vo2 = float(v)
+                break
+        if not vo2 and isinstance(ts_data.get("mostRecentVO2Max"), dict):
+            v = ts_data["mostRecentVO2Max"].get("generic") or ts_data["mostRecentVO2Max"].get("value")
+            if v and float(v) > 0:
+                vo2 = float(v)
+    # Try stats_and_body
+    if sb_data and not vo2:
+        for key in ("vo2MaxPreciseValue", "vo2Max"):
+            v = sb_data.get(key)
+            if v and isinstance(v, (int, float)) and float(v) > 0:
+                vo2 = float(v)
+                break
 
     fa_age = None
     if fa_data: