- Add name field to WorkflowNode model
- Extend node_label priority: node.name > prompt_slug > node_type-id
- No new fields in NodeExecutionState (uses existing debug_prompt_slug)
- Simpler approach than previous attempt to avoid 504 timeout
- Add name field to WorkflowNode model
- Add node_name field to NodeExecutionState
- Set node_name in execute_workflow from node.name
- Display priority: node_name > debug_prompt_slug > node_label > node_id
User sees 'Qualitätseinschätzung' instead of 'node_abc123'
Display per node:
- debug_prompt (prompt sent to AI)
- debug_raw_response (raw AI response)
- analysis_core (parsed results)
- normalized_signals (decision signals with status)
- Failed nodes: red border + red background
NO other changes - executeWorkflow still used
- Failed nodes now have:
- Red border (2px instead of 1px)
- Light red background (#D85A3010)
- Red shadow/glow effect
Makes it immediately obvious which nodes had errors.
- workflow_executor.py: Store prompt_slug or generated label in debug_prompt_slug for all nodes
- This makes it easy to identify nodes in the debug panel
- Example: 'wf_nutrition_basis' instead of 'node_5'
- Helps identify which node is which when debugging workflows
- Created WorkflowDebugPanel.jsx: Collapsible panel showing debug info for each workflow node
- Shows prompt sent to AI
- Shows raw AI response
- Shows parsed results
- Shows normalized signals
- Color-coded status (executed/failed/skipped)
- Expandable/collapsible per node
- Updated Analysis.jsx:
- Added WorkflowDebugPanel import
- Store node_states in newResult for debugging
- Display WorkflowDebugPanel below InsightCard (both locations)
This makes it easy to debug workflow issues by seeing exactly what happened at each node.
Backend changes:
- workflow_models.py: Add debug_prompt, debug_raw_response, debug_node_type, debug_prompt_slug, metadata fields to NodeExecutionState
- workflow_executor.py: Capture and store debug info for analysis, logic, and join nodes when enable_debug=True
- Analysis nodes: store full prompt + raw AI response
- Logic nodes: store expression + evaluation result
- Join nodes: store strategy + path statistics
Frontend changes:
- Analysis.jsx: Enable debug mode by default (debug=true) for all workflow executions
This allows developers to see exactly what prompt was sent to the AI, what response was received, and how each node was processed - essential for debugging workflow issues.
