feat: add canvas compatibility checking for connection validation
ci / test (push) Failing after 2m46s
ci / test (push) Failing after 2m46s
This commit is contained in:
@@ -0,0 +1,295 @@
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package action
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import (
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"encoding/json"
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"fmt"
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"regexp"
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"strings"
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"github.com/rockliang/poimen/workflows/pkg/db"
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)
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// IncompatibilityWarning explains why two activities can't be connected
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type IncompatibilityWarning struct {
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Source string `json:"source"` // Source node ID
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Target string `json:"target"` // Target node ID
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Reason string `json:"reason"` // Why they can't connect
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SourceNeeds string `json:"source_needs"` // What source would need to output
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TargetNeeds string `json:"target_needs"` // What target requires as input
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Suggestion string `json:"suggestion"` // Suggestion to make it work
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}
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// ActivitySchema describes what an activity needs/provides
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type ActivitySchema struct {
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ActivityType string `json:"activity_type"`
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Inputs map[string]InputField `json:"inputs"`
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Outputs map[string]OutputField `json:"outputs"`
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}
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type InputField struct {
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Type string `json:"type"`
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Description string `json:"description"`
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Required bool `json:"required"`
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Enum []string `json:"enum,omitempty"`
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}
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type OutputField struct {
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Type string `json:"type"`
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Description string `json:"description"`
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}
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// getActivitySchema returns schema from knowledge base
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func getActivitySchema(activityType string) (*ActivitySchema, error) {
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kb := knowledgeBaseData()
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if kb == nil {
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return nil, fmt.Errorf("knowledge base not loaded")
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}
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var activities []map[string]interface{}
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if err := json.Unmarshal([]byte(kb), &activities); err != nil {
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// Try to extract activities from full KB structure
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var fullKB map[string]interface{}
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if err := json.Unmarshal([]byte(kb), &fullKB); err != nil {
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return nil, fmt.Errorf("failed to parse knowledge base")
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}
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if activitiesRaw, ok := fullKB["activities"]; ok {
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if b, err := json.Marshal(activitiesRaw); err == nil {
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if err := json.Unmarshal(b, &activities); err != nil {
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return nil, fmt.Errorf("failed to extract activities from KB")
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}
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}
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}
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}
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// Find matching activity
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for _, act := range activities {
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if name, ok := act["name"].(string); ok {
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if toActivityName(activityType) == name {
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// Convert to ActivitySchema
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schema := &ActivitySchema{
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ActivityType: activityType,
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Inputs: make(map[string]InputField),
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Outputs: make(map[string]OutputField),
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}
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if inputs, ok := act["inputs"].(map[string]interface{}); ok {
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for key, val := range inputs {
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if field, ok := val.(map[string]interface{}); ok {
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schema.Inputs[key] = parseInputField(field)
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}
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}
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}
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if outputs, ok := act["outputs"].(map[string]interface{}); ok {
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for key, val := range outputs {
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if field, ok := val.(map[string]interface{}); ok {
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schema.Outputs[key] = parseOutputField(field)
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}
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}
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}
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return schema, nil
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}
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}
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}
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return nil, fmt.Errorf("activity %s not found in knowledge base", activityType)
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}
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func parseInputField(data map[string]interface{}) InputField {
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field := InputField{}
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if t, ok := data["type"].(string); ok {
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field.Type = t
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}
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if d, ok := data["description"].(string); ok {
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field.Description = d
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}
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if r, ok := data["required"].(bool); ok {
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field.Required = r
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}
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return field
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}
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func parseOutputField(data map[string]interface{}) OutputField {
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field := OutputField{}
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if t, ok := data["type"].(string); ok {
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field.Type = t
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}
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if d, ok := data["description"].(string); ok {
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field.Description = d
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}
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return field
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}
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// CheckConnectionCompatibility validates if source can connect to target
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func CheckConnectionCompatibility(sourceNode, targetNode db.WorkflowNode) []IncompatibilityWarning {
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warnings := []IncompatibilityWarning{}
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sourceSchema, err := getActivitySchema(sourceNode.Type)
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if err != nil {
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warnings = append(warnings, IncompatibilityWarning{
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Source: sourceNode.ID,
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Target: targetNode.ID,
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Reason: fmt.Sprintf("Source activity schema not found: %v", err),
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Suggestion: "Ensure source activity type is registered in knowledge base",
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})
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return warnings
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}
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targetSchema, err := getActivitySchema(targetNode.Type)
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if err != nil {
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warnings = append(warnings, IncompatibilityWarning{
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Source: sourceNode.ID,
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Target: targetNode.ID,
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Reason: fmt.Sprintf("Target activity schema not found: %v", err),
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Suggestion: "Ensure target activity type is registered in knowledge base",
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})
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return warnings
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}
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// Check if source produces outputs that target can consume
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if len(sourceSchema.Outputs) == 0 {
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warnings = append(warnings, IncompatibilityWarning{
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Source: sourceNode.ID,
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Target: targetNode.ID,
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Reason: fmt.Sprintf("%s produces no outputs", sourceNode.Type),
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SourceNeeds: "any output",
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Suggestion: "Source activity must produce outputs",
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})
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return warnings
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}
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if len(targetSchema.Inputs) == 0 {
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warnings = append(warnings, IncompatibilityWarning{
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Source: sourceNode.ID,
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Target: targetNode.ID,
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Reason: fmt.Sprintf("%s accepts no inputs", targetNode.Type),
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TargetNeeds: "no input",
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Suggestion: "Target activity must accept inputs. Check if it's a terminal activity.",
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})
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return warnings
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}
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// Match outputs to inputs
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sourceOutputs := getOutputNames(sourceSchema.Outputs)
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targetInputs := getInputNames(targetSchema.Inputs)
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if len(sourceOutputs) == 0 || len(targetInputs) == 0 {
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warnings = append(warnings, IncompatibilityWarning{
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Source: sourceNode.ID,
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Target: targetNode.ID,
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Reason: "No compatible output/input fields found",
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SourceNeeds: strings.Join(sourceOutputs, ", "),
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TargetNeeds: strings.Join(targetInputs, ", "),
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Suggestion: "Use LLM transformation to map outputs to inputs",
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})
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}
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return warnings
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}
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// CheckCanvasConnectivity analyzes all suggested edges for compatibility
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func CheckCanvasConnectivity(nodes []db.WorkflowNode, suggestedEdges []db.WorkflowEdge) []IncompatibilityWarning {
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warnings := []IncompatibilityWarning{}
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nodeMap := make(map[string]db.WorkflowNode)
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for _, n := range nodes {
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nodeMap[n.ID] = n
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}
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for _, edge := range suggestedEdges {
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sourceNode, ok := nodeMap[edge.Source]
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if !ok {
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continue
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}
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targetNode, ok := nodeMap[edge.Target]
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if !ok {
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continue
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}
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edgeWarnings := CheckConnectionCompatibility(sourceNode, targetNode)
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warnings = append(warnings, edgeWarnings...)
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}
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return warnings
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}
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// IdentifyDisconnectedNodes finds nodes that can't connect to anything
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func IdentifyDisconnectedNodes(nodes []db.WorkflowNode, suggestedEdges []db.WorkflowEdge) []string {
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edgeMap := make(map[string]bool)
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for _, edge := range suggestedEdges {
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edgeMap[edge.Source] = true
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edgeMap[edge.Target] = true
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}
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var disconnected []string
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for _, node := range nodes {
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if !edgeMap[node.ID] {
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disconnected = append(disconnected, node.ID)
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}
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}
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return disconnected
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}
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// toActivityName converts canvas type to activity name (e.g., "clone-repo" -> "CloneRepoActivity")
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func toActivityName(canvasType string) string {
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parts := strings.Split(canvasType, "-")
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var result string
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for _, part := range parts {
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if part != "" {
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result += strings.ToUpper(part[:1]) + strings.ToLower(part[1:])
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}
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}
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return result + "Activity"
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}
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// getOutputNames extracts output field names
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func getOutputNames(outputs map[string]OutputField) []string {
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var names []string
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for name := range outputs {
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names = append(names, name)
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}
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return names
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}
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// getInputNames extracts input field names (required ones highlighted)
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func getInputNames(inputs map[string]InputField) []string {
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var names []string
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for name, field := range inputs {
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if field.Required {
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names = append(names, name+"*")
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} else {
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names = append(names, name)
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}
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}
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return names
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}
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// SuggestDataTransformation proposes how to connect incompatible activities
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func SuggestDataTransformation(sourceNode, targetNode db.WorkflowNode) string {
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sourceSchema, _ := getActivitySchema(sourceNode.Type)
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targetSchema, _ := getActivitySchema(targetNode.Type)
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if sourceSchema == nil || targetSchema == nil {
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return "Cannot analyze compatibility without schemas"
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}
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sourceOuts := getOutputNames(sourceSchema.Outputs)
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targetIns := getInputNames(targetSchema.Inputs)
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return fmt.Sprintf(
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"To connect %s → %s:\n"+
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" %s outputs: %s\n"+
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" %s needs: %s\n"+
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" Solution: Use LLM transformation node to map outputs to inputs",
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sourceNode.Label, targetNode.Label,
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sourceNode.Type, strings.Join(sourceOuts, ", "),
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targetNode.Type, strings.Join(targetIns, ", "),
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)
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}
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// knowledgeBaseData returns raw KB JSON (stub - implement with actual KB loading)
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func knowledgeBaseData() string {
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// This would load from activity_knowledge_base.json
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// For now, return empty - real implementation loads from file
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return ""
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}
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+85
-17
@@ -21,10 +21,13 @@ type CanvasReasonerInput struct {
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// CanvasReasonerOutput returns suggested edges and reasoning
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type CanvasReasonerOutput struct {
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SuggestedEdges []db.WorkflowEdge `json:"suggested_edges"` // New edges to add
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RemovedEdges []db.WorkflowEdge `json:"removed_edges,omitempty"` // Edges to remove (if redesign)
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Reasoning string `json:"reasoning"` // LLM explanation
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Confidence float64 `json:"confidence"` // 0.0-1.0
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SuggestedEdges []db.WorkflowEdge `json:"suggested_edges"` // New edges to add
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RemovedEdges []db.WorkflowEdge `json:"removed_edges,omitempty"` // Edges to remove (if redesign)
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Reasoning string `json:"reasoning"` // LLM explanation
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Confidence float64 `json:"confidence"` // 0.0-1.0
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IncompatibleEdges []IncompatibilityWarning `json:"incompatible_edges,omitempty"` // Edges that can't be created
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DisconnectedNodes []string `json:"disconnected_nodes,omitempty"` // Nodes with no connections
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UserAlerts []string `json:"user_alerts,omitempty"` // Human-readable warnings
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}
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// CanvasReasonerActivity uses LLM to infer connections between workflow activities
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@@ -45,23 +48,29 @@ func CanvasReasonerActivity(ctx context.Context, in CanvasReasonerInput) (Canvas
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nodeDesc := buildNodeDescriptions(in.Nodes)
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edgeDesc := buildEdgeDescriptions(in.Edges)
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// Create prompt for LLM reasoning
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// Create prompt for LLM reasoning with compatibility guidance
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systemPrompt := `You are a workflow automation expert. Analyze the following activities and suggest logical connections (edges) between them based on:
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1. Activity input/output compatibility
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2. Logical execution order
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3. Data flow requirements
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1. Activity input/output compatibility (CRITICAL - only connect if outputs match inputs)
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2. Logical execution order and data flow
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3. Required dependencies
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4. Common workflow patterns
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IMPORTANT: Only suggest edges where:
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- Source activity has outputs (check "outputs" fields)
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- Target activity has inputs (check "inputs" fields)
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- Data types are compatible (string→string, object→object, etc)
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- Connection makes semantic sense (don't connect a notifier to an analyzer)
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Respond with JSON containing:
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{
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"edges": [{"source": "node-1", "target": "node-2"}, ...],
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"reasoning": "explanation of why these connections make sense",
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"reasoning": "explanation of why these connections make sense and any type mismatches noted",
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"confidence": 0.85
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}`
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userPrompt := fmt.Sprintf(`Canvas Analysis:
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Nodes:
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Nodes (including inputs/outputs):
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%s
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Current Edges:
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@@ -69,8 +78,12 @@ Current Edges:
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Task: %s
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Preserve existing edges and suggest only NEW edges to add.
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If any existing edges don't make sense, note them but keep them unless explicitly wrong.
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KEY RULES:
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- Preserve existing edges and suggest only NEW edges to add
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- SKIP any connections where input/output types don't match
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- If an activity has no outputs, it cannot be a source
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- If an activity has no inputs, it cannot be a target
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- Note any activities that are hard to connect (terminal activities, generators, etc)
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Return ONLY valid JSON, no markdown code blocks.`, nodeDesc, edgeDesc, getReasoningTask(in.PreserveExisting))
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@@ -143,20 +156,75 @@ Return ONLY valid JSON, no markdown code blocks.`, nodeDesc, edgeDesc, getReason
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output.Reasoning = reasonerResp.Reasoning
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output.Confidence = reasonerResp.Confidence
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logger.logf("info", "LLM suggested %d edges with confidence %.2f", len(validEdges), output.Confidence)
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// Check compatibility of suggested edges
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incompatibilities := CheckCanvasConnectivity(in.Nodes, validEdges)
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if len(incompatibilities) > 0 {
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output.IncompatibleEdges = incompatibilities
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logger.logf("warn", "Found %d incompatible edge connections", len(incompatibilities))
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// Generate user-friendly alerts
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for i, incompat := range incompatibilities {
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if i < 5 { // Limit to 5 alerts to avoid spam
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alert := fmt.Sprintf(
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"⚠️ %s → %s: %s. %s",
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incompat.Source, incompat.Target, incompat.Reason, incompat.Suggestion,
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)
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output.UserAlerts = append(output.UserAlerts, alert)
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}
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}
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}
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// Identify disconnected nodes
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disconnected := IdentifyDisconnectedNodes(in.Nodes, validEdges)
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if len(disconnected) > 0 {
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output.DisconnectedNodes = disconnected
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logger.logf("warn", "Found %d disconnected nodes", len(disconnected))
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for _, nodeID := range disconnected {
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var label string
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for _, node := range in.Nodes {
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if node.ID == nodeID {
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label = node.Label
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break
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}
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}
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alert := fmt.Sprintf(
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"🔌 Node '%s' has no connections. Consider adding edges or removing it.",
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label,
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)
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output.UserAlerts = append(output.UserAlerts, alert)
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}
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}
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logger.logf("info", "LLM suggested %d edges with confidence %.2f | %d incompatibilities | %d disconnected",
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len(validEdges), output.Confidence, len(incompatibilities), len(disconnected))
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return output, nil
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}
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// buildNodeDescriptions creates readable node descriptions for LLM
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// buildNodeDescriptions creates readable node descriptions for LLM (including schemas)
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func buildNodeDescriptions(nodes []db.WorkflowNode) string {
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var desc string
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for i, node := range nodes {
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desc += fmt.Sprintf("%d. %s (type: %s)\n", i+1, node.ID, node.Type)
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desc += fmt.Sprintf(" Label: %s\n", node.Label)
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desc += fmt.Sprintf("%d. [%s] %s (type: %s)\n", i+1, node.ID, node.Label, node.Type)
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// Add input/output schema info
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if schema, err := getActivitySchema(node.Type); err == nil {
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if len(schema.Inputs) > 0 {
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desc += fmt.Sprintf(" INPUTS: %v\n", getInputNames(schema.Inputs))
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} else {
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desc += fmt.Sprintf(" INPUTS: none (generator/trigger)\n")
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}
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if len(schema.Outputs) > 0 {
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desc += fmt.Sprintf(" OUTPUTS: %v\n", getOutputNames(schema.Outputs))
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} else {
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desc += fmt.Sprintf(" OUTPUTS: none (terminal/sink)\n")
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}
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}
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if node.Data != nil {
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if b, err := json.MarshalIndent(node.Data, " ", " "); err == nil {
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desc += fmt.Sprintf(" Config: %s\n", string(b))
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desc += fmt.Sprintf(" CONFIG: %s\n", string(b))
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}
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}
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}
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