feat: Expand ActivityEntry model and enhance activity log handling

- Added new fields to the ActivityEntry model for improved tracking: hr_min, pace_min_per_km, cadence, avg_power, elevation_gain, temperature_celsius, humidity_percent, avg_hr_percent, and kcal_per_km.
- Updated the create_activity function to accommodate the new fields in the activity log.
- Modified session metrics handling to ensure accurate data retrieval and merging based on the updated schema.

backend/data_layer/activity_session_metrics.py

@@ -391,8 +391,8 @@ def replace_activity_session_metrics(
             (activity_log_id, spec["training_parameter_id"], vn, vi, vt, vb),
         )
 
-    # Übergang: Spalten in activity_log sind maßgeblich — EAV für alle source_field-Parameter angleichen
+    # Kein sync_column_backed nach PUT /metrics: der Request ist maßgeblich für EAV. Ein Spalten-Sync würde
-    sync_column_backed_session_metrics(cur, profile_id, activity_log_id)
+    # Werte aus nicht mitgeschriebenen activity_log-Spalten wieder verwerfen.
 
     return fetch_activity_session_metrics(cur, activity_log_id)
 
@@ -408,10 +408,40 @@ def get_activity_session_logical_unit(cur, profile_id: str, activity_log_id: str
         cur, header.get("training_category"), header.get("training_type_id")
     )
     metrics = fetch_activity_session_metrics(cur, activity_log_id)
+    by_key = {m["key"]: m for m in metrics}
+    merged_metrics: List[Dict[str, Any]] = list(metrics)
+    for s in schema:
+        k = s["key"]
+        if k in by_key:
+            continue
+        sf = s.get("source_field")
+        if not sf or (isinstance(sf, str) and not str(sf).strip()):
+            continue
+        col = str(sf).strip()
+        if col not in header:
+            continue
+        raw = header.get(col)
+        if raw is None:
+            continue
+        dt = s["data_type"]
+        try:
+            val = _coerce_raw_value_for_parameter(dt, raw)
+        except (TypeError, ValueError):
+            continue
+        merged_metrics.append(
+            {
+                "training_parameter_id": s["training_parameter_id"],
+                "key": k,
+                "data_type": dt,
+                "unit": s.get("unit"),
+                "value": val,
+            }
+        )
+    merged_metrics.sort(key=lambda x: x["key"])
     return {
         "header": header,
         "schema": schema,
-        "metrics": metrics,
+        "metrics": merged_metrics,
     }
 
 

backend/models.py

@@ -83,8 +83,17 @@ class ActivityEntry(BaseModel):
     kcal_resting: Optional[float] = None
     hr_avg: Optional[float] = None
     hr_max: Optional[float] = None
+    hr_min: Optional[int] = None  # DB-Spalte hr_min (Parameter min_hr)
     distance_km: Optional[float] = None
     rpe: Optional[int] = None
+    pace_min_per_km: Optional[float] = None
+    cadence: Optional[int] = None
+    avg_power: Optional[int] = None
+    elevation_gain: Optional[int] = None
+    temperature_celsius: Optional[float] = None
+    humidity_percent: Optional[int] = None
+    avg_hr_percent: Optional[float] = None
+    kcal_per_km: Optional[float] = None
     source: Optional[str] = 'manual'
     notes: Optional[str] = None
     training_type_id: Optional[int] = None        # v9d: Training type categorization

backend/routers/activity.py

@@ -102,9 +102,10 @@ def create_activity(e: ActivityEntry, x_profile_id: Optional[str]=Header(default
         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,rpe,source,notes,
+             hr_avg,hr_max,hr_min,distance_km,pace_min_per_km,cadence,avg_power,elevation_gain,
+             temperature_celsius,humidity_percent,avg_hr_percent,kcal_per_km,rpe,source,notes,
              training_type_id,training_category,training_subcategory,created)
-            VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,CURRENT_TIMESTAMP)""",
+            VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,CURRENT_TIMESTAMP)""",
             (
                 eid,
                 pid,
@@ -117,7 +118,16 @@ def create_activity(e: ActivityEntry, x_profile_id: Optional[str]=Header(default
                 d["kcal_resting"],
                 d["hr_avg"],
                 d["hr_max"],
+                d.get("hr_min"),
                 d["distance_km"],
+                d.get("pace_min_per_km"),
+                d.get("cadence"),
+                d.get("avg_power"),
+                d.get("elevation_gain"),
+                d.get("temperature_celsius"),
+                d.get("humidity_percent"),
+                d.get("avg_hr_percent"),
+                d.get("kcal_per_km"),
                 d["rpe"],
                 d["source"],
                 d["notes"],

frontend/src/pages/ActivityPage.jsx

@@ -1,4 +1,4 @@
-import { useState, useEffect, useRef } from 'react'
+import { useState, useEffect, useRef, startTransition } from 'react'
 import { Upload, Pencil, Trash2, Check, X, CheckCircle } from 'lucide-react'
 import { BarChart, Bar, XAxis, YAxis, Tooltip, ResponsiveContainer, CartesianGrid } from 'recharts'
 import { api } from '../utils/api'
@@ -26,7 +26,16 @@ const ACTIVITY_LOG_PAYLOAD_KEYS = new Set([
   'kcal_resting',
   'hr_avg',
   'hr_max',
+  'hr_min',
   'distance_km',
+  'pace_min_per_km',
+  'cadence',
+  'avg_power',
+  'elevation_gain',
+  'temperature_celsius',
+  'humidity_percent',
+  'avg_hr_percent',
+  'kcal_per_km',
   'rpe',
   'source',
   'notes',
@@ -412,7 +421,9 @@ export default function ActivityPage() {
       }
       setEditing(null)
       setSessionDetail(null)
-      await load()
+      startTransition(() => {
+        void load()
+      })
     } catch (err) {
       setError(err.message || 'Speichern fehlgeschlagen')
       setTimeout(() => setError(null), 6000)