fix(workflow): Test-Suite Fixes - Issues #5, #8, #9, #11, #12

Addressed test results from Test_status_Wkf.md:

**Issue #5: End-Node Überschriften**
- Fixed aggregate_results to show node labels instead of "Node 10"
- Added graph lookup to get node.data.label from node objects
- Modified backend/workflow_executor.py (2 locations)

**Issue #8: Löschen-Taste funktioniert nicht**
- Added Delete key support to WorkflowCanvas
- Set deleteKeyCode={['Backspace', 'Delete']}
- Frontend: WorkflowCanvas.jsx

**Issue #9: Mehrere End-Nodes verhindern**
- Added validation error when multiple End-Nodes exist
- Backend supports only 1 End-Node (aggregate_results takes last)
- Frontend: workflowValidation.js

**Issue #11: Export Fehler "Internal Server Error"**
- Added missing fields to export-all endpoint:
  - graph_data (workflow node graph)
  - question_augmentations (analysis prompts)
- Added missing fields to import endpoint
- Proper JSON serialization for all JSONB fields
- Backend: routers/prompts.py

**Issue #12: Workflow duplizieren funktioniert nicht**
- Fixed duplicate endpoint to include all prompt fields:
  - type, stages, output_format, output_schema
  - question_augmentations, graph_data (critical for workflows!)
- Backend: routers/prompts.py

Files changed:
- backend/workflow_executor.py: Node label lookup in aggregate_results
- backend/routers/prompts.py: Export/import/duplicate fixes
- frontend/src/components/workflow/WorkflowCanvas.jsx: Delete key
- frontend/src/utils/workflowValidation.js: Max 1 End-Node validation

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

backend/routers/prompts.py

@@ -215,10 +215,24 @@ def duplicate_prompt(prompt_id: str, session: dict=Depends(require_admin)):
         new_display_name = f"{original.get('display_name') or original['name']} (Kopie)"
 
         cur.execute(
-            """INSERT INTO ai_prompts (id, name, slug, display_name, description, template, category, active, sort_order, created, updated)
-               VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, CURRENT_TIMESTAMP, CURRENT_TIMESTAMP)""",
-            (new_id, new_name, new_slug, new_display_name, original['description'], original['template'],
-             original.get('category', 'ganzheitlich'), original['active'], original['sort_order'])
+            """INSERT INTO ai_prompts (
+                id, name, slug, display_name, description, template, category,
+                type, stages, output_format, output_schema,
+                question_augmentations, graph_data,
+                active, sort_order, created, updated
+            ) VALUES (
+                %s, %s, %s, %s, %s, %s, %s,
+                %s, %s, %s, %s,
+                %s, %s,
+                %s, %s, CURRENT_TIMESTAMP, CURRENT_TIMESTAMP
+            )""",
+            (new_id, new_name, new_slug, new_display_name,
+             original.get('description'), original.get('template'),
+             original.get('category', 'ganzheitlich'),
+             original.get('type', 'pipeline'), original.get('stages'),
+             original.get('output_format', 'text'), original.get('output_schema'),
+             original.get('question_augmentations'), original.get('graph_data'),
+             original.get('active', True), original.get('sort_order', 0))
         )
 
     return {"id": new_id, "slug": new_slug, "name": new_name}
@@ -1635,6 +1649,8 @@ def export_all_prompts(session: dict = Depends(require_admin)):
             'stages': p.get('stages'),
             'output_format': p.get('output_format', 'text'),
             'output_schema': p.get('output_schema'),
+            'question_augmentations': p.get('question_augmentations'),
+            'graph_data': p.get('graph_data'),
             'active': p.get('active', True),
             'sort_order': p.get('sort_order', 0)
         }
@@ -1689,26 +1705,39 @@ def import_prompts(
                 skipped += 1
                 continue
 
-            # Prepare stages JSON if present
+            # Prepare JSON fields if present
             stages_json = None
             if p.get('stages'):
                 stages_json = json.dumps(p['stages']) if isinstance(p['stages'], list) else p['stages']
 
+            output_schema_json = None
+            if p.get('output_schema'):
+                output_schema_json = json.dumps(p['output_schema']) if isinstance(p['output_schema'], dict) else p['output_schema']
+
+            question_aug_json = None
+            if p.get('question_augmentations'):
+                question_aug_json = json.dumps(p['question_augmentations']) if isinstance(p['question_augmentations'], (dict, list)) else p['question_augmentations']
+
+            graph_data_json = None
+            if p.get('graph_data'):
+                graph_data_json = json.dumps(p['graph_data']) if isinstance(p['graph_data'], dict) else p['graph_data']
+
             if existing:
                 # Update existing
                 cur.execute("""
                     UPDATE ai_prompts SET
                         name=%s, display_name=%s, description=%s, type=%s,
                         category=%s, template=%s, stages=%s, output_format=%s,
-                        output_schema=%s, active=%s, sort_order=%s,
+                        output_schema=%s, question_augmentations=%s, graph_data=%s,
+                        active=%s, sort_order=%s,
                         updated=CURRENT_TIMESTAMP
                     WHERE slug=%s
                 """, (
                     p.get('name'), p.get('display_name'), p.get('description'),
                     p.get('type', 'pipeline'), p.get('category', 'ganzheitlich'),
                     p.get('template'), stages_json, p.get('output_format', 'text'),
-                    p.get('output_schema'), p.get('active', True),
-                    p.get('sort_order', 0), slug
+                    output_schema_json, question_aug_json, graph_data_json,
+                    p.get('active', True), p.get('sort_order', 0), slug
                 ))
                 updated += 1
             else:
@@ -1717,13 +1746,15 @@ def import_prompts(
                     INSERT INTO ai_prompts (
                         slug, name, display_name, description, type, category,
                         template, stages, output_format, output_schema,
+                        question_augmentations, graph_data,
                         active, sort_order, created, updated
-                    ) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,CURRENT_TIMESTAMP,CURRENT_TIMESTAMP)
+                    ) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,CURRENT_TIMESTAMP,CURRENT_TIMESTAMP)
                 """, (
                     slug, p.get('name'), p.get('display_name'), p.get('description'),
                     p.get('type', 'pipeline'), p.get('category', 'ganzheitlich'),
                     p.get('template'), stages_json, p.get('output_format', 'text'),
-                    p.get('output_schema'), p.get('active', True), p.get('sort_order', 0)
+                    output_schema_json, question_aug_json, graph_data_json,
+                    p.get('active', True), p.get('sort_order', 0)
                 ))
                 created += 1
 

backend/workflow_executor.py

@@ -597,7 +597,14 @@ def execute_end_node(
             combined_analysis = []
             for node_id, node_state in context.get("node_results", {}).items():
                 if node_state.status == NodeStatus.EXECUTED and node_state.analysis_core:
-                    combined_analysis.append(f"## {node_id}\n{node_state.analysis_core}")
+                    # Get node label from graph (fallback to node_id if not found)
+                    node_label = node_id  # default
+                    if graph:
+                        node_obj = next((n for n in graph.nodes if n.id == node_id), None)
+                        if node_obj and hasattr(node_obj, 'data') and node_obj.data:
+                            node_label = node_obj.data.get('label', node_id)
+
+                    combined_analysis.append(f"## {node_label}\n{node_state.analysis_core}")
 
             final_output = "\n\n".join(combined_analysis) if combined_analysis else "[No analysis generated]"
 
@@ -999,7 +1006,13 @@ def aggregate_results(node_states: List[NodeExecutionState], graph) -> Dict[str,
                 final_output = state.analysis_core
             else:
                 # Regular node - add to combined analysis
-                combined_analysis.append(f"## {state.node_id}\n{state.analysis_core}")
+                # Get node label from graph (fallback to node_id)
+                node_label = state.node_id  # default
+                node_obj = next((n for n in graph.nodes if n.id == state.node_id), None)
+                if node_obj and hasattr(node_obj, 'data') and node_obj.data:
+                    node_label = node_obj.data.get('label', state.node_id)
+
+                combined_analysis.append(f"## {node_label}\n{state.analysis_core}")
 
         if state.normalized_signals:
             all_signals.extend([s.model_dump() for s in state.normalized_signals])

frontend/src/components/workflow/WorkflowCanvas.jsx

@@ -39,6 +39,7 @@ export function WorkflowCanvas({
         className="workflow-canvas"
         minZoom={0.2}
         maxZoom={2}
+        deleteKeyCode={['Backspace', 'Delete']}
         defaultEdgeOptions={{
           animated: false,
           style: { strokeWidth: 2 },

frontend/src/utils/workflowValidation.js

@@ -49,6 +49,14 @@ function validateStructure(nodes, edges, errors, warnings) {
       message: 'Kein END-Node vorhanden',
       severity: 'error'
     })
+  } else if (endNodes.length > 1) {
+    // Backend unterstützt aktuell nur 1 End-Node (aggregate_results nimmt letzten)
+    // Future: Multi-Exit Support würde Backend-Anpassung erfordern
+    errors.push({
+      type: 'structure',
+      message: `${endNodes.length} END-Nodes gefunden (max. 1 erlaubt)`,
+      severity: 'error'
+    })
   }
 
   // Zyklen-Erkennung