ROLLBACK: complete removal of broken feature enforcement system

Reverts all feature enforcement changes (commits 3745ebd, cbad50a, cd4d912, 8415509)
to restore original working functionality.

Issues caused by feature enforcement implementation:
- Export buttons disappeared and never reappeared
- KI analysis counter not incrementing
- New analyses not saving
- Pipeline appearing twice
- Many core features broken

Restored files to working state before enforcement implementation (commit 0210844):
- Backend: auth.py, insights.py, exportdata.py, importdata.py, nutrition.py, activity.py
- Frontend: Analysis.jsx, SettingsPage.jsx, api.js
- Removed: FeatureGate.jsx, useFeatureAccess.js

The original simple AI limit system (ai_enabled, ai_limit_day) is now active again.

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

backend/auth.py

@@ -318,9 +318,8 @@ def increment_feature_usage(profile_id: str, feature_id: str) -> None:
             ON CONFLICT (profile_id, feature_id)
             DO UPDATE SET
                 usage_count = user_feature_usage.usage_count + 1,
-                reset_at = %s,
                 updated = CURRENT_TIMESTAMP
-        """, (profile_id, feature_id, next_reset, next_reset))
+        """, (profile_id, feature_id, next_reset))
 
         conn.commit()
 

backend/routers/activity.py

@@ -11,7 +11,7 @@ from typing import Optional
 from fastapi import APIRouter, HTTPException, UploadFile, File, Header, Depends
 
 from db import get_db, get_cursor, r2d
-from auth import require_auth, check_feature_access, increment_feature_usage
+from auth import require_auth
 from models import ActivityEntry
 from routers.profiles import get_pid
 
@@ -94,17 +94,6 @@ def activity_stats(x_profile_id: Optional[str]=Header(default=None), session: di
 async def import_activity_csv(file: UploadFile=File(...), x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
     """Import Apple Health workout CSV."""
     pid = get_pid(x_profile_id)
-
-    # Check feature access (v9c feature system)
-    access = check_feature_access(pid, 'csv_import')
-    if not access['allowed']:
-        if access['reason'] == 'feature_disabled':
-            raise HTTPException(403, "CSV-Import ist für dein Tier nicht verfügbar")
-        elif access['reason'] == 'limit_exceeded':
-            raise HTTPException(429, f"Monatliches Import-Limit erreicht ({access['limit']} Imports)")
-        else:
-            raise HTTPException(403, f"Zugriff verweigert: {access['reason']}")
-
     raw = await file.read()
     try:    text = raw.decode('utf-8')
     except: text = raw.decode('latin-1')
@@ -145,8 +134,4 @@ async def import_activity_csv(file: UploadFile=File(...), x_profile_id: Optional
                      tf(row.get('Distanz (km)',''))))
                 inserted+=1
             except: skipped+=1
-
-    # Increment import usage counter (v9c feature system)
-    increment_feature_usage(pid, 'csv_import')
-
     return {"inserted":inserted,"skipped":skipped,"message":f"{inserted} Trainings importiert"}

backend/routers/exportdata.py

@@ -17,7 +17,7 @@ from fastapi import APIRouter, HTTPException, Header, Depends
 from fastapi.responses import StreamingResponse, Response
 
 from db import get_db, get_cursor, r2d
-from auth import require_auth, check_feature_access, increment_feature_usage
+from auth import require_auth
 from routers.profiles import get_pid
 
 router = APIRouter(prefix="/api/export", tags=["export"])
@@ -30,15 +30,13 @@ def export_csv(x_profile_id: Optional[str]=Header(default=None), session: dict=D
     """Export all data as CSV."""
     pid = get_pid(x_profile_id)
 
-    # Check feature access (v9c feature system)
-    access = check_feature_access(pid, 'data_export')
-    if not access['allowed']:
-        if access['reason'] == 'feature_disabled':
-            raise HTTPException(403, "Export ist für dein Tier nicht verfügbar")
-        elif access['reason'] == 'limit_exceeded':
-            raise HTTPException(429, f"Monatliches Export-Limit erreicht ({access['limit']} Exporte)")
-        else:
-            raise HTTPException(403, f"Zugriff verweigert: {access['reason']}")
+    # Check export permission
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cur.execute("SELECT export_enabled FROM profiles WHERE id=%s", (pid,))
+        prof = cur.fetchone()
+        if not prof or not prof['export_enabled']:
+            raise HTTPException(403, "Export ist für dieses Profil deaktiviert")
 
     # Build CSV
     output = io.StringIO()
@@ -76,10 +74,6 @@ def export_csv(x_profile_id: Optional[str]=Header(default=None), session: dict=D
             writer.writerow(["Training", r['date'], r['activity_type'], f"{float(r['duration_min'])}min {float(r['kcal_active'])}kcal"])
 
     output.seek(0)
-
-    # Increment export usage counter (v9c feature system)
-    increment_feature_usage(pid, 'data_export')
-
     return StreamingResponse(
         iter([output.getvalue()]),
         media_type="text/csv",
@@ -92,15 +86,13 @@ def export_json(x_profile_id: Optional[str]=Header(default=None), session: dict=
     """Export all data as JSON."""
     pid = get_pid(x_profile_id)
 
-    # Check feature access (v9c feature system)
-    access = check_feature_access(pid, 'data_export')
-    if not access['allowed']:
-        if access['reason'] == 'feature_disabled':
-            raise HTTPException(403, "Export ist für dein Tier nicht verfügbar")
-        elif access['reason'] == 'limit_exceeded':
-            raise HTTPException(429, f"Monatliches Export-Limit erreicht ({access['limit']} Exporte)")
-        else:
-            raise HTTPException(403, f"Zugriff verweigert: {access['reason']}")
+    # Check export permission
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cur.execute("SELECT export_enabled FROM profiles WHERE id=%s", (pid,))
+        prof = cur.fetchone()
+        if not prof or not prof['export_enabled']:
+            raise HTTPException(403, "Export ist für dieses Profil deaktiviert")
 
     # Collect all data
     data = {}
@@ -134,10 +126,6 @@ def export_json(x_profile_id: Optional[str]=Header(default=None), session: dict=
         return str(obj)
 
     json_str = json.dumps(data, indent=2, default=decimal_handler)
-
-    # Increment export usage counter (v9c feature system)
-    increment_feature_usage(pid, 'data_export')
-
     return Response(
         content=json_str,
         media_type="application/json",
@@ -150,21 +138,13 @@ def export_zip(x_profile_id: Optional[str]=Header(default=None), session: dict=D
     """Export all data as ZIP (CSV + JSON + photos) per specification."""
     pid = get_pid(x_profile_id)
 
-    # Check feature access (v9c feature system)
-    access = check_feature_access(pid, 'data_export')
-    if not access['allowed']:
-        if access['reason'] == 'feature_disabled':
-            raise HTTPException(403, "Export ist für dein Tier nicht verfügbar")
-        elif access['reason'] == 'limit_exceeded':
-            raise HTTPException(429, f"Monatliches Export-Limit erreicht ({access['limit']} Exporte)")
-        else:
-            raise HTTPException(403, f"Zugriff verweigert: {access['reason']}")
-
-    # Get profile
+    # Check export permission & get profile
     with get_db() as conn:
         cur = get_cursor(conn)
         cur.execute("SELECT * FROM profiles WHERE id=%s", (pid,))
         prof = r2d(cur.fetchone())
+        if not prof or not prof.get('export_enabled'):
+            raise HTTPException(403, "Export ist für dieses Profil deaktiviert")
 
     # Helper: CSV writer with UTF-8 BOM + semicolon
     def write_csv(zf, filename, rows, columns):
@@ -317,10 +297,6 @@ Datumsformat: YYYY-MM-DD
 
     zip_buffer.seek(0)
     filename = f"mitai-export-{profile_name.replace(' ','-')}-{export_date}.zip"
-
-    # Increment export usage counter (v9c feature system)
-    increment_feature_usage(pid, 'data_export')
-
     return StreamingResponse(
         iter([zip_buffer.getvalue()]),
         media_type="application/zip",

backend/routers/importdata.py

@@ -16,7 +16,7 @@ from datetime import datetime
 from fastapi import APIRouter, HTTPException, UploadFile, File, Header, Depends
 
 from db import get_db, get_cursor
-from auth import require_auth, check_feature_access, increment_feature_usage
+from auth import require_auth
 from routers.profiles import get_pid
 
 router = APIRouter(prefix="/api/import", tags=["import"])
@@ -41,16 +41,6 @@ async def import_zip(
     """
     pid = get_pid(x_profile_id)
 
-    # Check feature access (v9c feature system)
-    access = check_feature_access(pid, 'csv_import')
-    if not access['allowed']:
-        if access['reason'] == 'feature_disabled':
-            raise HTTPException(403, "Import ist für dein Tier nicht verfügbar")
-        elif access['reason'] == 'limit_exceeded':
-            raise HTTPException(429, f"Monatliches Import-Limit erreicht ({access['limit']} Imports)")
-        else:
-            raise HTTPException(403, f"Zugriff verweigert: {access['reason']}")
-
     # Read uploaded file
     content = await file.read()
     zip_buffer = io.BytesIO(content)
@@ -264,9 +254,6 @@ async def import_zip(
                     conn.rollback()
                     raise HTTPException(500, f"Import fehlgeschlagen: {str(e)}")
 
-            # Increment import usage counter (v9c feature system)
-            increment_feature_usage(pid, 'csv_import')
-
             return {
                 "ok": True,
                 "message": "Import erfolgreich",

backend/routers/insights.py

@@ -13,7 +13,7 @@ from datetime import datetime
 from fastapi import APIRouter, HTTPException, Header, Depends
 
 from db import get_db, get_cursor, r2d
-from auth import require_auth, require_admin, check_feature_access, increment_feature_usage
+from auth import require_auth, require_admin
 from routers.profiles import get_pid
 
 router = APIRouter(prefix="/api", tags=["insights"])
@@ -251,16 +251,7 @@ def delete_ai_insight(scope: str, x_profile_id: Optional[str]=Header(default=Non
 async def analyze_with_prompt(slug: str, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
     """Run AI analysis with specified prompt template."""
     pid = get_pid(x_profile_id)
-
-    # Check feature access (v9c feature system)
-    access = check_feature_access(pid, 'ai_calls')
-    if not access['allowed']:
-        if access['reason'] == 'feature_disabled':
-            raise HTTPException(403, "KI-Analysen sind für dein Tier nicht verfügbar")
-        elif access['reason'] == 'limit_exceeded':
-            raise HTTPException(429, f"Monatliches KI-Limit erreicht ({access['limit']} Analysen)")
-        else:
-            raise HTTPException(403, f"Zugriff verweigert: {access['reason']}")
+    check_ai_limit(pid)
 
     # Get prompt template
     with get_db() as conn:
@@ -310,8 +301,7 @@ async def analyze_with_prompt(slug: str, x_profile_id: Optional[str]=Header(defa
         cur.execute("INSERT INTO ai_insights (id, profile_id, scope, content, created) VALUES (%s,%s,%s,%s,CURRENT_TIMESTAMP)",
             (str(uuid.uuid4()), pid, slug, content))
 
-    # Increment usage counter (v9c feature system)
-    increment_feature_usage(pid, 'ai_calls')
+    inc_ai_usage(pid)
     return {"scope": slug, "content": content}
 
 
@@ -319,16 +309,7 @@ async def analyze_with_prompt(slug: str, x_profile_id: Optional[str]=Header(defa
 async def analyze_pipeline(x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
     """Run 3-stage pipeline analysis."""
     pid = get_pid(x_profile_id)
-
-    # Check feature access for pipeline (v9c feature system)
-    access = check_feature_access(pid, 'ai_pipeline')
-    if not access['allowed']:
-        if access['reason'] == 'feature_disabled':
-            raise HTTPException(403, "KI-Pipeline ist für dein Tier nicht verfügbar")
-        elif access['reason'] == 'limit_exceeded':
-            raise HTTPException(429, f"Monatliches Pipeline-Limit erreicht ({access['limit']} Pipelines)")
-        else:
-            raise HTTPException(403, f"Zugriff verweigert: {access['reason']}")
+    check_ai_limit(pid)
 
     data = _get_profile_data(pid)
     vars = _prepare_template_vars(data)
@@ -457,8 +438,7 @@ async def analyze_pipeline(x_profile_id: Optional[str]=Header(default=None), ses
         cur.execute("INSERT INTO ai_insights (id, profile_id, scope, content, created) VALUES (%s,%s,'gesamt',%s,CURRENT_TIMESTAMP)",
             (str(uuid.uuid4()), pid, final_content))
 
-    # Increment pipeline usage counter (v9c feature system)
-    increment_feature_usage(pid, 'ai_pipeline')
+    inc_ai_usage(pid)
     return {"scope": "gesamt", "content": final_content, "stage1": stage1_results}
 
 

backend/routers/nutrition.py

@@ -12,7 +12,7 @@ from datetime import datetime
 from fastapi import APIRouter, HTTPException, UploadFile, File, Header, Depends
 
 from db import get_db, get_cursor, r2d
-from auth import require_auth, check_feature_access, increment_feature_usage
+from auth import require_auth
 from routers.profiles import get_pid
 
 router = APIRouter(prefix="/api/nutrition", tags=["nutrition"])
@@ -30,17 +30,6 @@ def _pf(s):
 async def import_nutrition_csv(file: UploadFile=File(...), x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
     """Import FDDB nutrition CSV."""
     pid = get_pid(x_profile_id)
-
-    # Check feature access (v9c feature system)
-    access = check_feature_access(pid, 'csv_import')
-    if not access['allowed']:
-        if access['reason'] == 'feature_disabled':
-            raise HTTPException(403, "CSV-Import ist für dein Tier nicht verfügbar")
-        elif access['reason'] == 'limit_exceeded':
-            raise HTTPException(429, f"Monatliches Import-Limit erreicht ({access['limit']} Imports)")
-        else:
-            raise HTTPException(403, f"Zugriff verweigert: {access['reason']}")
-
     raw = await file.read()
     try: text = raw.decode('utf-8')
     except: text = raw.decode('latin-1')
@@ -76,10 +65,6 @@ async def import_nutrition_csv(file: UploadFile=File(...), x_profile_id: Optiona
                 cur.execute("INSERT INTO nutrition_log (id,profile_id,date,kcal,protein_g,fat_g,carbs_g,source,created) VALUES (%s,%s,%s,%s,%s,%s,%s,'csv',CURRENT_TIMESTAMP)",
                              (str(uuid.uuid4()),pid,iso,kcal,prot,fat,carbs))
             inserted+=1
-
-    # Increment import usage counter (v9c feature system)
-    increment_feature_usage(pid, 'csv_import')
-
     return {"rows_parsed":count,"days_imported":inserted,
             "date_range":{"from":min(days) if days else None,"to":max(days) if days else None}}
 

frontend/src/components/FeatureGate.jsx

@@ -1,80 +0,0 @@
-import { useFeatureAccess } from '../hooks/useFeatureAccess'
-
-/**
- * Feature Gate Component
- *
- * Hides children if feature is not available.
- * Optionally shows upgrade prompt or message.
- *
- * @param {string} feature - Feature slug (e.g. 'ai_calls', 'data_export')
- * @param {ReactNode} children - Content to gate
- * @param {ReactNode} fallback - Optional fallback when not allowed
- * @param {boolean} showUpgradePrompt - Show upgrade message instead of hiding
- */
-export function FeatureGate({ feature, children, fallback = null, showUpgradePrompt = false }) {
-  const { canUse, reason, loading, limit, remaining } = useFeatureAccess(feature)
-
-  // While loading, show children optimistically (better UX)
-  if (loading) return <>{children}</>
-
-  // If allowed, render children
-  if (canUse) return <>{children}</>
-
-  // Not allowed
-  if (showUpgradePrompt) {
-    return (
-      <div style={{
-        padding: 16,
-        background: 'var(--accent-light)',
-        borderRadius: 8,
-        textAlign: 'center',
-        color: 'var(--accent-dark)'
-      }}>
-        <div style={{ fontSize: 14, fontWeight: 600, marginBottom: 4 }}>
-          Feature nicht verfügbar
-        </div>
-        <div style={{ fontSize: 12 }}>
-          {reason === 'feature_disabled' && 'Dieses Feature ist in deinem Tier nicht enthalten.'}
-          {reason === 'limit_exceeded' && `Limit erreicht (${limit}). Upgrade für mehr Zugriff.`}
-        </div>
-      </div>
-    )
-  }
-
-  // Hide completely
-  return fallback
-}
-
-/**
- * Feature Badge - Shows usage counter
- *
- * @param {string} feature - Feature slug
- * @param {string} label - Label text (optional)
- */
-export function FeatureBadge({ feature, label }) {
-  const { limit, used, remaining, loading } = useFeatureAccess(feature)
-
-  if (loading) return null
-  if (limit === null) return null // Unlimited
-
-  const percentage = limit > 0 ? (used / limit) * 100 : 0
-  const color = percentage > 90 ? 'var(--danger)' : percentage > 70 ? '#FFA726' : 'var(--accent)'
-
-  return (
-    <div style={{
-      display: 'inline-flex',
-      alignItems: 'center',
-      gap: 6,
-      padding: '4px 10px',
-      background: 'var(--surface2)',
-      borderRadius: 12,
-      fontSize: 11,
-      fontWeight: 600,
-      color: 'var(--text3)'
-    }}>
-      {label && <span>{label}:</span>}
-      <span style={{ color }}>{used}/{limit}</span>
-      {remaining !== null && remaining === 0 && <span style={{ color: 'var(--danger)' }}>⚠️</span>}
-    </div>
-  )
-}

frontend/src/hooks/useFeatureAccess.js

@@ -1,67 +0,0 @@
-import { useState, useEffect } from 'react'
-import { api } from '../utils/api'
-
-/**
- * Hook to check feature access and usage limits
- *
- * @param {string} featureSlug - Feature ID (e.g. 'ai_calls', 'data_export')
- * @returns {{
- *   canUse: boolean,
- *   limit: number|null,
- *   used: number,
- *   remaining: number|null,
- *   reason: string,
- *   loading: boolean,
- *   error: string,
- *   refresh: function
- * }}
- */
-export function useFeatureAccess(featureSlug) {
-  const [state, setState] = useState({
-    canUse: true, // Optimistic default
-    limit: null,
-    used: 0,
-    remaining: null,
-    reason: 'unknown',
-    loading: true,
-    error: ''
-  })
-
-  const refresh = async () => {
-    if (!featureSlug) {
-      setState(prev => ({ ...prev, loading: false }))
-      return
-    }
-
-    try {
-      setState(prev => ({ ...prev, loading: true, error: '' }))
-      const access = await api.checkFeatureAccess(featureSlug)
-      setState({
-        canUse: access.allowed,
-        limit: access.limit,
-        used: access.used,
-        remaining: access.remaining,
-        reason: access.reason,
-        loading: false,
-        error: ''
-      })
-    } catch (e) {
-      console.error(`Feature access check failed for ${featureSlug}:`, e)
-      setState({
-        canUse: false,
-        limit: null,
-        used: 0,
-        remaining: null,
-        reason: 'error',
-        loading: false,
-        error: e.message
-      })
-    }
-  }
-
-  useEffect(() => {
-    refresh()
-  }, [featureSlug])
-
-  return { ...state, refresh }
-}

frontend/src/pages/Analysis.jsx

@@ -2,8 +2,6 @@ import { useState, useEffect } from 'react'
 import { Brain, Pencil, Trash2, ChevronDown, ChevronUp, Check, X } from 'lucide-react'
 import { api } from '../utils/api'
 import { useAuth } from '../context/AuthContext'
-import { FeatureGate, FeatureBadge } from '../components/FeatureGate'
-import { useFeatureAccess } from '../hooks/useFeatureAccess'
 import Markdown from '../utils/Markdown'
 import dayjs from 'dayjs'
 import 'dayjs/locale/de'
@@ -229,39 +227,35 @@ export default function Analysis() {
 
           {/* Pipeline button - only if all sub-prompts are active */}
           {pipelineAvailable && (
-            <FeatureGate feature="ai_pipeline" showUpgradePrompt>
-              <div className="card" style={{marginBottom:16,borderColor:'var(--accent)',borderWidth:2}}>
-                <div style={{display:'flex',alignItems:'flex-start',gap:12}}>
-                  <div style={{flex:1}}>
-                    <div style={{display:'flex',alignItems:'center',gap:8}}>
-                      <div style={{fontWeight:700,fontSize:15,color:'var(--accent)'}}>🔬 Mehrstufige Gesamtanalyse</div>
-                      <FeatureBadge feature="ai_pipeline" />
-                    </div>
-                    <div style={{fontSize:12,color:'var(--text2)',marginTop:3,lineHeight:1.5}}>
-                      3 spezialisierte KI-Calls parallel (Körper + Ernährung + Aktivität),
-                      dann Synthese + Zielabgleich. Detaillierteste Auswertung.
-                    </div>
-                    {allInsights.find(i=>i.scope==='pipeline') && (
-                      <div style={{fontSize:11,color:'var(--text3)',marginTop:3}}>
-                        Letzte Analyse: {dayjs(allInsights.find(i=>i.scope==='pipeline').created).format('DD.MM.YYYY, HH:mm')}
-                      </div>
-                    )}
+            <div className="card" style={{marginBottom:16,borderColor:'var(--accent)',borderWidth:2}}>
+              <div style={{display:'flex',alignItems:'flex-start',gap:12}}>
+                <div style={{flex:1}}>
+                  <div style={{fontWeight:700,fontSize:15,color:'var(--accent)'}}>🔬 Mehrstufige Gesamtanalyse</div>
+                  <div style={{fontSize:12,color:'var(--text2)',marginTop:3,lineHeight:1.5}}>
+                    3 spezialisierte KI-Calls parallel (Körper + Ernährung + Aktivität),
+                    dann Synthese + Zielabgleich. Detaillierteste Auswertung.
                   </div>
-                  <button className="btn btn-primary" style={{flexShrink:0,minWidth:100}}
-                    onClick={runPipeline} disabled={!!loading||pipelineLoading}>
-                    {pipelineLoading
-                      ? <><div className="spinner" style={{width:13,height:13}}/> Läuft…</>
-                      : <><Brain size={13}/> Starten</>}
-                  </button>
+                  {allInsights.find(i=>i.scope==='pipeline') && (
+                    <div style={{fontSize:11,color:'var(--text3)',marginTop:3}}>
+                      Letzte Analyse: {dayjs(allInsights.find(i=>i.scope==='pipeline').created).format('DD.MM.YYYY, HH:mm')}
+                    </div>
+                  )}
                 </div>
-                {pipelineLoading && (
-                  <div style={{marginTop:10,padding:'8px 12px',background:'var(--accent-light)',
-                    borderRadius:8,fontSize:12,color:'var(--accent-dark)'}}>
-                    ⚡ Stufe 1: 3 parallele Analyse-Calls… dann Synthese… dann Zielabgleich
-                  </div>
-                )}
+                <button className="btn btn-primary" style={{flexShrink:0,minWidth:100}}
+                  onClick={runPipeline} disabled={!!loading||pipelineLoading}>
+                  {pipelineLoading
+                    ? <><div className="spinner" style={{width:13,height:13}}/> Läuft…</>
+                    : <><Brain size={13}/> Starten</>}
+                </button>
+                {!canUseAI && <div style={{fontSize:11,color:'#D85A30',marginTop:4}}>🔒 KI nicht freigeschaltet</div>}
               </div>
-            </FeatureGate>
+              {pipelineLoading && (
+                <div style={{marginTop:10,padding:'8px 12px',background:'var(--accent-light)',
+                  borderRadius:8,fontSize:12,color:'var(--accent-dark)'}}>
+                  ⚡ Stufe 1: 3 parallele Analyse-Calls… dann Synthese… dann Zielabgleich
+                </div>
+              )}
+            </div>
           )}
 
           {!canUseAI && (
@@ -277,13 +271,11 @@ export default function Analysis() {
               </div>
             </div>
           )}
-          <FeatureGate feature="ai_calls">
-            <p style={{fontSize:13,color:'var(--text2)',marginBottom:14,lineHeight:1.6,display:'flex',alignItems:'center',gap:8}}>
-              Oder wähle eine Einzelanalyse:
-              <FeatureBadge feature="ai_calls" />
-            </p>
+          {canUseAI && <p style={{fontSize:13,color:'var(--text2)',marginBottom:14,lineHeight:1.6}}>
+            Oder wähle eine Einzelanalyse:
+          </p>}
 
-            {activePrompts.map(p => {
+          {activePrompts.map(p => {
             // Show latest existing insight for this prompt
             const existing = allInsights.find(i=>i.scope===p.slug)
             return (
@@ -313,11 +305,10 @@ export default function Analysis() {
                 )}
               </div>
             )
-            })}
-            {activePrompts.length===0 && (
-              <div className="empty-state"><p>Keine aktiven Prompts. Aktiviere im Tab "Prompts".</p></div>
-            )}
-          </FeatureGate>
+          })}
+          {activePrompts.length===0 && (
+            <div className="empty-state"><p>Keine aktiven Prompts. Aktiviere im Tab "Prompts".</p></div>
+          )}
         </div>
       )}
 

frontend/src/pages/SettingsPage.jsx

@@ -1,9 +1,7 @@
 import { useState } from 'react'
-import { Link } from 'react-router-dom'
 import { Save, Download, Upload, Trash2, Plus, Check, Pencil, X, LogOut, Shield, Key } from 'lucide-react'
 import { useProfile } from '../context/ProfileContext'
 import { useAuth } from '../context/AuthContext'
-import { FeatureGate, FeatureBadge } from '../components/FeatureGate'
 import { Avatar } from './ProfileSelect'
 import { api } from '../utils/api'
 import AdminPanel from './AdminPanel'
@@ -236,16 +234,6 @@ export default function SettingsPage() {
     <div>
       <h1 className="page-title">Einstellungen</h1>
 
-      {/* Subscription */}
-      <div className="card section-gap">
-        <div className="card-title">Mein Abo</div>
-        <Link to="/subscription" style={{textDecoration:'none'}}>
-          <button className="btn btn-secondary btn-full">
-            👑 Abo-Status, Limits & Coupon einlösen
-          </button>
-        </Link>
-      </div>
-
       {/* Profile list */}
       <div className="card section-gap">
         <div className="card-title">Profile ({profiles.length})</div>
@@ -355,17 +343,20 @@ export default function SettingsPage() {
       )}
 
       {/* Export */}
-      <FeatureGate feature="data_export" showUpgradePrompt>
-        <div className="card section-gap">
-          <div className="card-title" style={{display:'flex',alignItems:'center',gap:8}}>
-            Daten exportieren
-            <FeatureBadge feature="data_export" label="Exporte" />
-          </div>
-          <p style={{fontSize:13,color:'var(--text2)',marginBottom:12,lineHeight:1.6}}>
-            Exportiert alle Daten von <strong>{activeProfile?.name}</strong>:
-            Gewicht, Umfänge, Caliper, Ernährung, Aktivität und KI-Auswertungen.
-          </p>
-          <div style={{display:'flex',flexDirection:'column',gap:8}}>
+      <div className="card section-gap">
+        <div className="card-title">Daten exportieren</div>
+        <p style={{fontSize:13,color:'var(--text2)',marginBottom:12,lineHeight:1.6}}>
+          Exportiert alle Daten von <strong>{activeProfile?.name}</strong>:
+          Gewicht, Umfänge, Caliper, Ernährung, Aktivität und KI-Auswertungen.
+        </p>
+        <div style={{display:'flex',flexDirection:'column',gap:8}}>
+          {!canExport && (
+            <div style={{padding:'10px 12px',background:'#FCEBEB',borderRadius:8,
+              fontSize:13,color:'#D85A30',marginBottom:8}}>
+              🔒 Export ist für dein Profil nicht freigeschaltet. Bitte den Admin kontaktieren.
+            </div>
+          )}
+          {canExport && <>
             <button className="btn btn-primary btn-full"
               onClick={()=>api.exportZip()}>
               <Download size={14}/> ZIP exportieren
@@ -376,56 +367,61 @@ export default function SettingsPage() {
               <Download size={14}/> JSON exportieren
               <span style={{fontSize:11,opacity:0.8,marginLeft:6}}>— maschinenlesbar, alles in einer Datei</span>
             </button>
-          </div>
-          <p style={{fontSize:11,color:'var(--text3)',marginTop:8}}>
-            Der ZIP-Export enthält separate Dateien für Excel und eine lesbare KI-Auswertungsdatei.
-          </p>
+          </>}
         </div>
-      </FeatureGate>
+        <p style={{fontSize:11,color:'var(--text3)',marginTop:8}}>
+          Der ZIP-Export enthält separate Dateien für Excel und eine lesbare KI-Auswertungsdatei.
+        </p>
+      </div>
 
       {/* Import */}
-      <FeatureGate feature="csv_import" showUpgradePrompt>
-        <div className="card section-gap">
-          <div className="card-title" style={{display:'flex',alignItems:'center',gap:8}}>
-            Backup importieren
-            <FeatureBadge feature="csv_import" label="Imports" />
-          </div>
-          <p style={{fontSize:13,color:'var(--text2)',marginBottom:12,lineHeight:1.6}}>
-            Importiere einen ZIP-Export zurück in <strong>{activeProfile?.name}</strong>.
-            Vorhandene Einträge werden nicht überschrieben.
-          </p>
-          <div style={{display:'flex',flexDirection:'column',gap:8}}>
-            <label className="btn btn-primary btn-full"
-              style={{cursor:importing?'wait':'pointer',opacity:importing?0.6:1}}>
-              <input type="file" accept=".zip" onChange={handleImport}
-                disabled={importing}
-                style={{display:'none'}}/>
-              {importing ? (
-                <>Importiere...</>
-              ) : (
-                <>
-                  <Upload size={14}/> ZIP-Backup importieren
-                </>
+      <div className="card section-gap">
+        <div className="card-title">Backup importieren</div>
+        <p style={{fontSize:13,color:'var(--text2)',marginBottom:12,lineHeight:1.6}}>
+          Importiere einen ZIP-Export zurück in <strong>{activeProfile?.name}</strong>.
+          Vorhandene Einträge werden nicht überschrieben.
+        </p>
+        <div style={{display:'flex',flexDirection:'column',gap:8}}>
+          {!canExport && (
+            <div style={{padding:'10px 12px',background:'#FCEBEB',borderRadius:8,
+              fontSize:13,color:'#D85A30',marginBottom:8}}>
+              🔒 Import ist für dein Profil nicht freigeschaltet. Bitte den Admin kontaktieren.
+            </div>
+          )}
+          {canExport && (
+            <>
+              <label className="btn btn-primary btn-full"
+                style={{cursor:importing?'wait':'pointer',opacity:importing?0.6:1}}>
+                <input type="file" accept=".zip" onChange={handleImport}
+                  disabled={importing}
+                  style={{display:'none'}}/>
+                {importing ? (
+                  <>Importiere...</>
+                ) : (
+                  <>
+                    <Upload size={14}/> ZIP-Backup importieren
+                  </>
+                )}
+              </label>
+              {importMsg && (
+                <div style={{
+                  padding:'10px 12px',
+                  background: importMsg.type === 'success' ? '#E1F5EE' : '#FCEBEB',
+                  borderRadius:8,
+                  fontSize:12,
+                  color: importMsg.type === 'success' ? 'var(--accent)' : '#D85A30',
+                  lineHeight:1.4
+                }}>
+                  {importMsg.text}
+                </div>
               )}
-            </label>
-            {importMsg && (
-              <div style={{
-                padding:'10px 12px',
-                background: importMsg.type === 'success' ? '#E1F5EE' : '#FCEBEB',
-                borderRadius:8,
-                fontSize:12,
-                color: importMsg.type === 'success' ? 'var(--accent)' : '#D85A30',
-                lineHeight:1.4
-              }}>
-                {importMsg.text}
-              </div>
-            )}
-          </div>
-          <p style={{fontSize:11,color:'var(--text3)',marginTop:8}}>
-            Der Import erkennt automatisch das Format und importiert nur neue Einträge.
-          </p>
+            </>
+          )}
         </div>
-      </FeatureGate>
+        <p style={{fontSize:11,color:'var(--text3)',marginTop:8}}>
+          Der Import erkennt automatisch das Format und importiert nur neue Einträge.
+        </p>
+      </div>
 
       {saved && (
         <div style={{position:'fixed',bottom:80,left:'50%',transform:'translateX(-50%)',

frontend/src/utils/api.js

@@ -180,7 +180,4 @@ export const api = {
   createAccessGrant:    (d)       => req('/access-grants',json(d)),
   updateAccessGrant:    (id,d)    => req(`/access-grants/${id}`,jput(d)),
   revokeAccessGrant:    (id)      => req(`/access-grants/${id}`,{method:'DELETE'}),
-
-  // Feature Access (v9c)
-  checkFeatureAccess:   (featureSlug) => req(`/features/${featureSlug}/check-access`),
 }