fix: Apple Health import - German names + duplicate detection

Issue 1: Automatic training type mapping didn't work
- Root cause: Only English workout names were mapped
- Solution: Added 20+ German workout type mappings:
  - "Traditionelles Krafttraining" → hypertrophy
  - "Outdoor Spaziergang" → walk
  - "Innenräume Spaziergang" → walk
  - "Matrial Arts" → technique (handles typo)
  - "Cardio Dance" → dance
  - "Geist & Körper" → yoga
  - Plus: Laufen, Gehen, Radfahren, Schwimmen, etc.

Issue 2: Reimporting CSV created duplicates without training types
- Root cause: Import always did INSERT with new UUID, no duplicate check
- Solution: Check if entry exists (profile_id + date + start_time)
  - If exists: UPDATE with new data + training type mapping
  - If new: INSERT as before
- Handles multiple workouts per day (different start times)
- "Skipped" count now includes updated entries

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

backend/routers/activity.py

@@ -122,7 +122,9 @@ def get_training_type_for_apple_health(workout_type: str):
         cur = get_cursor(conn)
 
         # Mapping: Apple Health Workout Type → training_type subcategory
+        # Supports English and German workout names
         mapping = {
+            # English
             'running': 'running',
             'walking': 'walk',
             'hiking': 'walk',
@@ -141,6 +143,33 @@ def get_training_type_for_apple_health(workout_type: str):
             'cooldown': 'regeneration',
             'meditation': 'meditation',
             'mindfulness': 'mindfulness',
+
+            # German (Deutsch)
+            'laufen': 'running',
+            'gehen': 'walk',
+            'wandern': 'walk',
+            'outdoor spaziergang': 'walk',
+            'innenräume spaziergang': 'walk',
+            'spaziergang': 'walk',
+            'radfahren': 'cycling',
+            'schwimmen': 'swimming',
+            'traditionelles krafttraining': 'hypertrophy',
+            'funktionelles krafttraining': 'functional',
+            'hochintensives intervalltraining': 'hiit',
+            'yoga': 'yoga',
+            'kampfsport': 'technique',
+            'matrial arts': 'technique',  # Common typo in Apple Health
+            'boxen': 'sparring',
+            'rudern': 'rowing',
+            'tanzen': 'dance',
+            'cardio dance': 'dance',
+            'core training': 'functional',
+            'flexibilität': 'static',
+            'abwärmen': 'regeneration',
+            'cooldown': 'regeneration',
+            'meditation': 'meditation',
+            'achtsamkeit': 'mindfulness',
+            'geist & körper': 'yoga',  # Mind & Body → Yoga category
         }
 
         subcategory = mapping.get(workout_type.lower())
@@ -255,16 +284,54 @@ async def import_activity_csv(file: UploadFile=File(...), x_profile_id: Optional
             training_type_id, training_category, training_subcategory = get_training_type_for_apple_health(wtype)
 
             try:
-                cur.execute("""INSERT INTO activity_log
+                # Check if entry already exists (duplicate detection by date + start_time)
-                    (id,profile_id,date,start_time,end_time,activity_type,duration_min,kcal_active,kcal_resting,
+                cur.execute("""
-                     hr_avg,hr_max,distance_km,source,training_type_id,training_category,training_subcategory,created)
+                    SELECT id FROM activity_log
-                    VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,'apple_health',%s,%s,%s,CURRENT_TIMESTAMP)""",
+                    WHERE profile_id = %s AND date = %s AND start_time = %s
-                    (str(uuid.uuid4()),pid,date,start,row.get('End',''),wtype,duration_min,
+                """, (pid, date, start))
-                     kj(row.get('Aktive Energie (kJ)','')),kj(row.get('Ruheeinträge (kJ)','')),
+                existing = cur.fetchone()
-                     tf(row.get('Durchschn. Herzfrequenz (count/min)','')),
+
-                     tf(row.get('Max. Herzfrequenz (count/min)','')),
+                if existing:
-                     tf(row.get('Distanz (km)','')),
+                    # Update existing entry (e.g., to add training type mapping)
-                     training_type_id,training_category,training_subcategory))
+                    cur.execute("""
-                inserted+=1
+                        UPDATE activity_log
-            except: skipped+=1
+                        SET end_time = %s,
+                            activity_type = %s,
+                            duration_min = %s,
+                            kcal_active = %s,
+                            kcal_resting = %s,
+                            hr_avg = %s,
+                            hr_max = %s,
+                            distance_km = %s,
+                            training_type_id = %s,
+                            training_category = %s,
+                            training_subcategory = %s
+                        WHERE id = %s
+                    """, (
+                        row.get('End',''), wtype, duration_min,
+                        kj(row.get('Aktive Energie (kJ)','')),
+                        kj(row.get('Ruheeinträge (kJ)','')),
+                        tf(row.get('Durchschn. Herzfrequenz (count/min)','')),
+                        tf(row.get('Max. Herzfrequenz (count/min)','')),
+                        tf(row.get('Distanz (km)','')),
+                        training_type_id, training_category, training_subcategory,
+                        existing['id']
+                    ))
+                    skipped += 1  # Count as skipped (not newly inserted)
+                else:
+                    # Insert new entry
+                    cur.execute("""INSERT INTO activity_log
+                        (id,profile_id,date,start_time,end_time,activity_type,duration_min,kcal_active,kcal_resting,
+                         hr_avg,hr_max,distance_km,source,training_type_id,training_category,training_subcategory,created)
+                        VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,'apple_health',%s,%s,%s,CURRENT_TIMESTAMP)""",
+                        (str(uuid.uuid4()),pid,date,start,row.get('End',''),wtype,duration_min,
+                         kj(row.get('Aktive Energie (kJ)','')),kj(row.get('Ruheeinträge (kJ)','')),
+                         tf(row.get('Durchschn. Herzfrequenz (count/min)','')),
+                         tf(row.get('Max. Herzfrequenz (count/min)','')),
+                         tf(row.get('Distanz (km)','')),
+                         training_type_id,training_category,training_subcategory))
+                    inserted+=1
+            except Exception as e:
+                logger.warning(f"Import row failed: {e}")
+                skipped+=1
     return {"inserted":inserted,"skipped":skipped,"message":f"{inserted} Trainings importiert"}