I'll help you explore the best practices for providing feedback from triggered pipelines in SnapLogic. Let me search for information about error handling and feedback mechanisms for triggered pipelines.
Based on the search results, here are several architectural approaches to provide better feedback for your triggered pipeline CURL requests:
## 1. **Synchronous Response with Open Output View**
The most straightforward solution is to modify your pipeline to provide immediate feedback by leaving one output view unconnected. This makes the triggered task synchronous and returns a response to the CURL request:
- **Add a response Snap** (like JSON Generator or Mapper) at the end of your pipeline with an unconnected output view
- This will return the response immediately to the CURL caller instead of just an HTTP status code
- You can include validation results, error messages, or success confirmations in this response
## 2. **Input Validation with Error Responses**
Implement validation early in your pipeline to catch issues like invalid email addresses:
- **Add validation logic** at the beginning of your pipeline using Mapper or Router Snaps
- **Route invalid inputs** to an error response path that returns specific error messages
- **Use HTTP status codes** in your response (400 for bad requests, 422 for validation errors)
- **Return structured error responses** with details about what went wrong
## 3. **Error Pipeline Integration**
Configure a comprehensive error pipeline to handle different types of failures:
- **Set up an error pipeline** in your main pipeline settings
- **Route all errors** to this error pipeline for consistent error handling
- **Include error details** in the response, such as validation failures or processing errors
- **Send notifications** through multiple channels (email, Slack, etc.) from the error pipeline
## 4. **Hybrid Approach with Status Updates**
For longer-running processes, consider a hybrid approach:
json
{
"status": "accepted",
"request_id": "12345",
"message": "Request received and being processed",
"validation_results": {
"email": "valid",
"customer_id": "valid"
},
"estimated_completion": "2-3 minutes"
}
## 5. **Enhanced Response Structure**
Structure your responses to include comprehensive feedback:
json
{
"http_status_code": 200,
"status": "success|error|warning",
"message": "Descriptive message",
"validation_errors": [],
"processing_errors": [],
"data": {
"email_validated": true,
"customer_found": true,
"notification_sent": true
}
}
## Implementation Steps:
1. **Add input validation** using a Mapper or Router Snap early in your pipeline
2. **Create validation logic** for email format and customer ID existence
3. **Add a response generator** (JSON Generator or Mapper) with an unconnected output view
4. **Configure error handling** to route validation and processing errors to your response generator
5. **Include detailed error messages** and status information in your responses
6. **Test with various scenarios** including invalid emails, missing customer IDs, and processing failures
This approach ensures users get immediate feedback about their request status, validation results, and any errors that occur during processing, significantly improving the user experience compared to the current silent failure mode.
