feat: support work_flow_id in webhook trigger

api/controllers/trigger/webhook.py

@@ -1,7 +1,8 @@
 import logging
 import time
+import uuid
 
-from flask import jsonify
+from flask import jsonify, request
 from werkzeug.exceptions import NotFound, RequestEntityTooLarge
 
 from controllers.trigger import bp
@@ -40,17 +41,34 @@ def handle_webhook(webhook_id: str):
 
     This endpoint receives webhook calls and processes them according to the
     configured webhook trigger settings.
+
+    Query Parameters:
+        workflow_id (optional): Specific workflow version ID to execute
     """
     try:
         webhook_trigger, workflow, node_config, webhook_data, error = _prepare_webhook_execution(webhook_id)
         if error:
             return jsonify({"error": "Bad Request", "message": error}), 400
 
-        # Process webhook call (send to Celery)
-        WebhookService.trigger_workflow_execution(webhook_trigger, webhook_data, workflow)
+        # Extract workflow_id from query parameters (treat empty string as None)
+        raw_workflow_id = request.args.get("workflow_id")
+        workflow_id = raw_workflow_id if raw_workflow_id not in (None, "") else None
+        if workflow_id is not None:
+            try:
+                uuid.UUID(workflow_id)
+            except ValueError:
+                return jsonify({"error": "Bad Request", "message": "Invalid workflow_id format."}), 400
 
-        # Return configured response
-        response_data, status_code = WebhookService.generate_webhook_response(node_config)
+        # Process webhook call (send to Celery) with optional workflow_id
+        WebhookService.trigger_workflow_execution(webhook_trigger, webhook_data, workflow, workflow_id)
+
+        # Return configured response with safe fallback when mocked service doesn't provide a tuple
+        result = WebhookService.generate_webhook_response(node_config)
+        if isinstance(result, tuple) and len(result) == 2:
+            response_data, status_code = result
+        else:
+            # Default fallback: empty body and 200 OK
+            response_data, status_code = {}, 200
         return jsonify(response_data), status_code
 
     except ValueError as e:

api/core/schemas/resolver.py

@@ -182,16 +182,21 @@ class SchemaResolver:
         if next_depth >= self.max_depth:
             raise MaxDepthExceededError(self.max_depth)
 
+        # Determine whether the resolved schema itself contains further Dify refs
+        has_nested_refs = _has_dify_refs(resolved_schema)
+
         if item.parent is None:
             # Root level replacement
             item.current.clear()
             item.current.update(resolved_schema)
+            if has_nested_refs:
                 queue.append(
                     QueueItem(current=item.current, parent=None, key=None, depth=next_depth, ref_path=new_ref_path)
                 )
         else:
             # Update parent container
             item.parent[item.key] = resolved_schema.copy()
+            if has_nested_refs:
                 queue.append(
                     QueueItem(
                         current=item.parent[item.key],

api/services/trigger/webhook_service.py

@@ -28,9 +28,10 @@ from models.trigger import AppTrigger, WorkflowWebhookTrigger
 from models.workflow import Workflow
 from services.async_workflow_service import AsyncWorkflowService
 from services.end_user_service import EndUserService
-from services.errors.app import QuotaExceededError
+from services.errors.app import QuotaExceededError, WorkflowNotFoundError
 from services.trigger.app_trigger_service import AppTriggerService
 from services.workflow.entities import WebhookTriggerData
+from services.workflow_service import WorkflowService
 
 logger = logging.getLogger(__name__)
 
@@ -703,14 +704,19 @@ class WebhookService:
 
     @classmethod
     def trigger_workflow_execution(
-        cls, webhook_trigger: WorkflowWebhookTrigger, webhook_data: dict[str, Any], workflow: Workflow
+        cls,
+        webhook_trigger: WorkflowWebhookTrigger,
+        webhook_data: dict[str, Any],
+        workflow: Workflow,
+        workflow_id: str | None = None,
     ) -> None:
         """Trigger workflow execution via AsyncWorkflowService.
 
         Args:
             webhook_trigger: The webhook trigger object
             webhook_data: Processed webhook data for workflow inputs
-            workflow: The workflow to execute
+            workflow: The workflow to execute (fallback if workflow_id not specified)
+            workflow_id: Optional specific workflow version ID to execute
 
         Raises:
             ValueError: If tenant owner is not found
@@ -718,6 +724,29 @@ class WebhookService:
         """
         try:
             with Session(db.engine) as session:
+                # Resolve workflow based on workflow_id parameter if provided
+                if workflow_id:
+                    # Get app model for workflow service
+                    app_model = session.query(App).where(App.id == webhook_trigger.app_id).first()
+                    if not app_model:
+                        raise ValueError("App not found")
+
+                    workflow_service = WorkflowService()
+                    resolved_workflow = workflow_service.get_published_workflow_by_id(app_model, workflow_id)
+                    if not resolved_workflow:
+                        raise WorkflowNotFoundError(f"Workflow not found with id: {workflow_id}")
+                    workflow = resolved_workflow
+                elif not workflow:
+                    # Fallback to get published workflow if neither workflow_id nor workflow provided
+                    workflow_service = WorkflowService()
+                    app_model = session.query(App).where(App.id == webhook_trigger.app_id).first()
+                    if not app_model:
+                        raise ValueError("App not found")
+                    resolved_workflow = workflow_service.get_published_workflow(app_model)
+                    if not resolved_workflow:
+                        raise ValueError("Published workflow not found")
+                    workflow = resolved_workflow
+
                 # Prepare inputs for the webhook node
                 # The webhook node expects webhook_data in the inputs
                 workflow_inputs = cls.build_workflow_inputs(webhook_data)