Bug:
- Analysis nodes showed "Prompt #7edc6d6b-6cd5..." in canvas
- After re-selecting prompt, showed readable name "Pipeline: Ernährungs-Analyse"
- After loading workflow, showed UUID again
Root Cause:
- Serializer saved only prompt_id, not prompt_name
- Deserializer expected prompt_name but got null
- AnalysisNode fallback logic: data.prompt_name || `Prompt #{prompt_id}`
- Result: Showed UUID as fallback
Fix:
- workflowSerializer.js line 25: Added prompt_name to serialization
- Now saves both prompt_id AND prompt_name in graph_data
- On load: prompt_name is restored → AnalysisNode shows readable name
Testing:
- Create workflow with analysis node + prompt selection
- Save → Canvas should show "Pipeline: Körper-Analyse" (not UUID)
- Reload → Canvas should still show readable name (not UUID)
119 lines
3.4 KiB
JavaScript
119 lines
3.4 KiB
JavaScript
/**
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* Workflow Serialization Utilities
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*
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* Konvertiert zwischen React Flow (Canvas) und Backend-Format (JSONB).
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*/
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/**
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* Serialisiert React Flow Graph zu Backend-kompatiblem Format
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*
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* @param {Array} nodes - React Flow nodes
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* @param {Array} edges - React Flow edges
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* @param {Object} metadata - Zusätzliche Metadaten
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* @returns {Object} JSONB-kompatibles Objekt für ai_prompts.graph_data
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*/
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export function serializeToWorkflowGraph(nodes, edges, metadata = {}) {
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const workflowNodes = nodes.map(node => ({
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id: node.id,
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type: node.type,
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label: node.data.label || node.type,
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position: { x: node.position.x, y: node.position.y },
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// Type-spezifische Felder
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...(node.type === 'analysis' && {
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prompt_id: node.data.prompt_id || null,
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prompt_name: node.data.prompt_name || null,
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questions: node.data.questions || [],
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fallback_strategy: node.data.fallback_strategy || 'conservative_skip'
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}),
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...(node.type === 'logic' && {
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condition: node.data.condition || null,
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fallback_strategy: node.data.fallback_strategy || 'conservative_skip'
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}),
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...(node.type === 'join' && {
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join_strategy: node.data.join_strategy || 'wait_all',
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skip_handling: node.data.skip_handling || 'ignore_skipped',
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min_paths: node.data.min_paths || 2
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})
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}))
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const workflowEdges = edges.map(edge => ({
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id: edge.id,
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source: edge.source,
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target: edge.target,
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label: edge.data?.label || null,
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sourceHandle: edge.sourceHandle || null,
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targetHandle: edge.targetHandle || null
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}))
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return {
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nodes: workflowNodes,
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edges: workflowEdges,
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metadata: {
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created_at: metadata.created_at || new Date().toISOString(),
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updated_at: new Date().toISOString(),
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version: metadata.version || '1.0'
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}
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}
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}
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/**
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* Deserialisiert Backend-Format zu React Flow Graph
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*
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* @param {Object} jsonbData - ai_prompts.graph_data (JSONB)
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* @returns {Object} { nodes, edges, metadata }
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*/
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export function deserializeFromWorkflowGraph(jsonbData) {
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if (!jsonbData || !jsonbData.nodes || !jsonbData.edges) {
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throw new Error('Invalid workflow graph data')
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}
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const reactFlowNodes = jsonbData.nodes.map(node => ({
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id: node.id,
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type: node.type,
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position: { x: node.position.x, y: node.position.y },
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data: {
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label: node.label,
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...(node.type === 'analysis' && {
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prompt_id: node.prompt_id,
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prompt_name: node.prompt_name || null, // Falls vom Backend mitgeliefert
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questions: node.questions || [],
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fallback_strategy: node.fallback_strategy || 'conservative_skip'
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}),
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...(node.type === 'logic' && {
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condition: node.condition || null,
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fallback_strategy: node.fallback_strategy || 'conservative_skip'
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}),
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...(node.type === 'join' && {
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join_strategy: node.join_strategy || 'wait_all',
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skip_handling: node.skip_handling || 'ignore_skipped',
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min_paths: node.min_paths || 2
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})
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}
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}))
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const reactFlowEdges = jsonbData.edges.map(edge => ({
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id: edge.id,
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source: edge.source,
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target: edge.target,
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sourceHandle: edge.sourceHandle || null,
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targetHandle: edge.targetHandle || null,
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data: {
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label: edge.label || null
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},
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type: 'default',
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animated: false
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}))
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return {
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nodes: reactFlowNodes,
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edges: reactFlowEdges,
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metadata: jsonbData.metadata || {}
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}
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}
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