The issue you are experiencing with %FileSet reporting that a network directory does not exist, even though %File.DirectoryExists() confirms that the path is valid, can arise due to specific differences in how these methods or queries interact with the operating system and network resources.

1. Potential Cause:
   %FileSet relies on SQL queries and requires the directory to not only exist but also be accessible in the context of how InterSystems IRIS interacts with the filesystem. Network drives may sometimes have access permissions or visibility issues depending on the user session in which the IRIS service is running. This is consistent with similar issues reported where commands function differently for mapped network drives versus internal directories [1].

2. Mapped Network Drive Access:
   For network locations accessed in an IRIS session, ensure:

   • The IRIS service or process is running with the required permissions and user profile that has access to the network path.
   • Sometimes, a script (e.g., using NET USE) needs to be run during the server startup in %ZSTART or explicit connection established using $ZF(-1) to map the drives appropriately [1].

3. Debugging Approach:

   • Test the path using $ZF(-1,...) to verify the visibility of the network drive as seen by the IRIS process.
   • Consider using the NormalizeDirectory() method to check that the directory paths are properly normalized and in a valid format [2]. For example:
     objectscript
Write ##class(%File).NormalizeDirectory("\\MYNETWORK_DRIVE\DFS-Shared_Product\GXM")

4. Error Codes and Messages:
   The %FileSet error stems from lower-level checks that fail to recognize the directory exists on the remote path, despite %File.DirectoryExists() validating its existence directly. This mismatch often points to environmental configuration issues specific to file system paths being interpreted differently under SQL queries versus ObjectScript methods.

Suggestions:
- Verify that the service running InterSystems IRIS has the proper user context and permissions.
- Use the FileSet query under a different test setup using local paths first to isolate the behavior.
- As a workaround, instead of relying solely on %FileSet, you could build a custom directory listing logic using methods like $ZF(-1) or %File.%Next() related functions for network paths.

[1][2]

Sources:

InterSystems IRIS includes support for MQTT through built-in adapters for message processing, which can act as both inbound and outbound adapters. However, InterSystems IRIS itself does not natively include an MQTT broker. Below are the details about how IRIS handles MQTT connections:

1. MQTT Adapters:

   • The EnsLib.MQTT.Adapter.Inbound adapter allows subscribing to topics and receiving MQTT messages.
   • The EnsLib.MQTT.Adapter.Outbound adapter allows publishing messages to MQTT topics.
   • These adapters can be used to build interoperability productions to handle MQTT messages effectively. This includes creating and subscribing to topics, custom business services, and operations to process the messages [1][2].

2. IRIS-integrated MQTT Broker:

   • While IRIS itself is not an MQTT broker, a few IRIS-integrated MQTT broker solutions are available, like IRIS MQTT for Manufacturing and IRIS MQTT for Health. These solutions provide an integrated broker functionality directly managed within the IRIS platform, removing the need for middleware [3][4].

3. Working with IRIS MQTT Adapters:

   • Custom business services can use the MQTT inbound adapter to consume messages.
   • Similarly, the outbound adapter is used to publish messages to specified brokers and topics [5][6].

4. Broker Setup:

   • If you require an actual MQTT broker, you need to configure one externally (e.g., Eclipse Mosquitto is widely used), or you may explore IRIS-integrated MQTT broker solutions for manufacturing or healthcare [1][4].

5. Using the MQTT Adapters:

   • InterSystems provides tools to define the connection details (e.g., broker's URL, credentials, topics) and manage message flow between devices and IRIS components [7].

If your goal is to integrate with an existing broker, or connect clients directly to IRIS over MQTT intermediates, additional configurations or external intermediary brokers might be required based on your use case.

Sources:

To implement data transformation where OBX 5.1 contains certain text (e.g., "DETECTED") and then sets the Abnormal Flag field accordingly while handling case sensitivity:

1. Create a Custom Function: Consider creating a utility class function like SetAbnormalFlag() to check the ObservationValue (OBX 5) and set the flag based on a conditional logic. This can handle both uppercase and lowercase occurrences by normalizing the text using $ZCONVERT or equivalent functions with case-insensitive checks [1][2].

2. Setup Data Transformation Logic:

   • Use a foreach loop on all the repeating OBX segments within the message structure.
   • Within the loop, retrieve the value from OBX 5 using GetValueAt.
   • Check if this value contains "DETECTED" (you can use $FIND or $ZCONVERT for case-insensitivity).
   • If detected, set the Abnormal Flag in OBX 8 using SetValueAt [1].

3. Example Structure:

   Set segmentCount = source.GetValueAt("PIDgrpgrp(1).ORCgrp(1).OBXgrp(*)")
   For segmentIndex = 1:1:segmentCount {
      Set observationValue = source.GetValueAt("PIDgrpgrp(1).ORCgrp(1).OBXgrp("_segmentIndex_").OBX:5")
      If ($FIND($ZCONVERT(observationValue, "U"), "DETECTED")) {
          Do source.SetValueAt("ABNORMAL", "PIDgrpgrp(1).ORCgrp(1).OBXgrp("_segmentIndex_").OBX:8", "set")
      }
   }
   

This process ensures that the text comparison is conducted without being affected by its case, and the Abnormal Flag is appropriately set for each relevant OBX segment [1][2][3].

Let me know if additional assistance is needed!

Sources:

Yes, it is possible to send different request classes to the same BPL. You can define a BPL process and set its "Request Class" property in the "Context" tab of the BPL designer. This allows the BPL to handle incoming requests of different types as long as they adhere to the defined structure and logic within the process. You can also use context properties or logic within the BPL to handle variations based on the actual type of the request received [1][2].

Sources:

The InitialExpression keyword works for setting initial values during object instantiation via %New() in certain types of classes, such as %Persistent, %RegisteredObject, etc., but this behavior does not apply consistently to %CSP.Page or its subclasses. %CSP.Page utilizes specific mechanisms for customization and instantiation, which differ from standard object creation through %New() [1][2][3].

Key points to consider:
1. Initialization Mechanism: %CSP.Page class is designed for web-based processing, with lifecycle methods like OnPage(), OnPreHTTP(), and OnPostHTTP() controlling request and response handling rather than relying on object instantiation semantics from %New() [3][2].

2. Property Initialization: For most applications, properties in %CSP.Page are set during request handling or by explicitly overriding lifecycle methods. Using parameters or configuration settings might be more effective to achieve default values during response construction [3][5].

3. Alternative Callbacks for Initialization: Override lifecycle methods like OnPreHTTP() or OnPage() within your subclass of %CSP.Page to implement default value assignments or initialization logic explicitly [2].

For further details regarding limitations or behaviors specific to %CSP.Page, you can consult its related documentation on callbacks, lifecycle management, and property interactions [2][5][6].

Sources:

To set up MQTT adapters in InterSystems IRIS, follow these steps:

1. Setting Up MQTT Inbound Adapter:

• Create a Business Service Class:
  Define a new class extending Ens.BusinessService and set its ADAPTER parameter to EnsLib.MQTT.Adapter.Inbound. Implement the OnProcessInput method to handle received messages. Example:
  ```objectscript
  Class EMQTT.NewService1 Extends Ens.BusinessService {
  Parameter ADAPTER = "EnsLib.MQTT.Adapter.Inbound";

   Method OnProcessInput(pInput As EnsLib.MQTT.Message, pOutput As %RegisteredObject) As %Status {
       set tsc=$$$OK
       // Process incoming message (pInput)
       Quit tsc
   }
  

  }
  ```

  • Available configuration settings for this adapter include Client ID, Credentials Name, Keep Alive, URL, and Topic, among others [1][2].

• Compile, Add to Production, and Configure:
  After creating and compiling the class, add it to your production and configure the settings such as broker URL, topic name, and credentials. You can find details about these settings under the "Settings for the MQTT Adapter" section [2].

2. Setting Up MQTT Outbound Adapter:

• Create a Business Operation Class:
  Define a new class extending Ens.BusinessOperation and set its ADAPTER parameter to EnsLib.MQTT.Adapter.Outbound. Implement the method that constructs a message and sends it using the adapter. Example:
  ```objectscript
  Class EMQTT.NewOperation1 Extends Ens.BusinessOperation {
  Parameter ADAPTER = "EnsLib.MQTT.Adapter.Outbound";

   Method OnMessage(pRequest As packagename.Request, Output pResponse As packagename.Response) As %Status {
       set tSC=$$$OK
       try {
           set message = ##class(EnsLib.MQTT.Message).%New()
           set message.Topic = ..Adapter.Topic
           set message.StringValue = "Sample Message Data"
           set tSC=..Adapter.Send(message.Topic, message.StringValue)
       } catch e {
           set tSC = e.AsStatus()
       }
       Quit tSC
   }
  

  }
  ```

  • Similar settings for outbound adapters include Client ID, Topic, QOS Quality Level, and SSL Configurations [1][2].

3. Use Passthrough Services:

If you need basic consumption and production of MQTT messages without complex logic, you can use the built-in passthrough services EnsLib.MQTT.Service.Passthrough and EnsLib.MQTT.Operation.Passthrough. These simplify setup by using the lower-level MQTT functionalities [3][4].

4. Additional Context on MQTT in IRIS:

InterSystems IRIS supports the MQTT protocol, with version 3.1.1 built as an OASIS standard. Its interoperability module enables seamless integrations with IoT devices leveraging MQTT brokers [3][4].

Refer to these examples and settings documentation to develop and manage inbound and outbound MQTT adapters effectively [2][3][4].

Sources:

To schedule a task for automatically resending a pre-defined HL7 message every hour without using a service or process, you can utilize the Task Manager within the System Management Portal. Here's how you could set this up:

1. Navigate to System Operation → Task Manager in the System Management Portal.
2. Create a new task and specify the namespace where your Business Operation resides.
3. Provide the task's logic, which can include calling a class method that sends the HL7 message through your existing Business Operation setup.
4. Schedule the task to run every 60 minutes as per your requirement [1].

This approach allows the process to run outside any service or process, utilizing system-level scheduling capabilities.

Alternatively, an efficient retry mechanism can also be implemented directly within the Business Operation to manage regular repeat intervals. You might add settings such as RetryWaitSeconds and use TCP connection management for automated resends (examples in Business Operation configurations align with retry mechanisms described in other solutions) [2].

Let me know if more specific implementation details are needed.

Sources:

To merge the contents of multiple routine databases into a common target database, and ensure only routines in the default routine database (not mapped databases) are merged while excluding duplicates, several classes and APIs can assist in accomplishing this:

1. Use %Routine Class:

   • %Routine class provides methods to manipulate routines programmatically, such as RoutineExists(), which can be used to check if a routine already exists in the target database before merging.
   • Other relevant methods include Compare(), RoutineList(), and Save() for exporting and saving routines.
   • This API supports creating, compiling, and modifying routines programmatically, making it suitable for tasks involving merging routine contents [1].

2. Use %SYSTEM.OBJ Class:

   • This class includes methods such as Export(), ExportToStream(), and Load() to facilitate the export and import of routines between databases.
   • These methods are useful for exporting routines from the source databases and loading them into the target database while managing duplicate entries by pre-checking if the routine exists using the %Routine class [1].

3. Routine Detection and Exclusion:

   • You can programmatically query routines in the current default routine database and cross-check against the routines already present in the target database before importing, using classes like %Routine and %RoutineIndex which provide routine information and indexing capabilities [1].

4. Namespace Considerations:

   • Routine mappings can be configured through the Config.MapRoutines class or directly in the Management Portal. However, ensure that routine mappings in non-default databases are not mistakenly merged [1].

These tools allow for flexible and controlled merging of routine contents across databases, adhering to your requirements regarding default versus mapped databases and avoiding duplicates.

Relevant References:
- Tools and methods for working programmatically with routines [1].

Sources:

InterSystems IRIS employs a memory management approach related to object references (OREFs) rather than a traditional garbage collector mechanism. Here's how it works:

1. Automatic Memory Management for Object References:

   • When an object is created, InterSystems IRIS keeps a reference count to track how many variables are pointing to the object. This count is incremented when a reference is made to the object and decremented when the reference is removed (e.g., the variable goes out of scope, is explicitly killed, or assigned a new value).
   • If the reference count reaches zero, the in-memory object is automatically destroyed and its %OnClose() method (if defined) is executed. This is a form of automatic cleanup tied to the object’s lifecycle and reference count [1].

2. Manual Management of Object References:

   • Although %Close() exists in some older object classes, it is deprecated and does not actually remove object references. To remove an object reference, you should assign an empty string ("") to it, or use the KILL command to remove the variable holding the reference. When there are no remaining references to the object, it is removed from memory [2][1].

3. Special Functions for Object Lifecycle Checks:

   • The $ISOBJECT(expr) function can check whether a given variable holds a valid object reference, returning 1 for valid references and -1 for invalid ones. This is useful to determine if an object still exists or needs cleanup [2].

This overall mechanism ensures efficient memory management of objects and avoids memory leaks, as objects are destroyed once no references point to them. While this approach achieves similar results to garbage collection, it is not automatic in the same sense and requires developers to account for object scope and references properly.

Sources:

To remove a Caché lock from another process, consider the following points:

1. Lock Command Basics:

   • To release locks, use the LOCK -lockname command. This will release locks owned by the current process. If the process holds multiple locks of the same name, issuing the command removes one of them. Lock removal can also specify lock type if needed, such as LOCK -lockname#locktype [1][2].

2. System-wide Lock Management:

   • Locks across processes can be managed using the system lock table. The InterSystems Management Portal provides tools to remove locks from specific processes:
     • Go to System Operation → Locks → Manage Locks.
     • You can select a process and click “Remove” or “Remove All Locks for Process.” Removing a lock requires WRITE permission from the executing process or user [2].

3. Lock Permissions:

   • If your web-based application does not have the permission to remove locks established by another process, ensure that the account has WRITE permissions for lock removal tasks. Locks are logged during removal in the audit database, if logging is enabled [2].

4. Troubleshooting and Cleanup:

   • Always consider implementing robust error handling, such as a system flag or tracked state, to ensure cleanup of locks when processes terminate unexpectedly. When all locks must be released, an argumentless LOCK command clears all locks for the current process or on process termination [2][3].

5. Advanced Cleanup Methods:

   • If managing locks associated with complex scenarios like transactions or state tracking, encapsulate cleanup logic in objects or dedicated routines within a registered object class. This ensures consistency and avoids dangling locks [3].

Following these practices with proper tools and permissions should enable your application to remove locks from other processes effectively. [1][2][3]

Sources:

To parse custom Orbis HL7 messages into Health Connect, you may need to create or adapt a custom HL7 schema. Common practices and tools for such customization involve:

1. Using Existing HL7 Versions: Health Connect allows you to browse HL7 schemas for all HL7 v2 versions up to 2.8.2. Through the Management Portal, you can access detailed structures including messages, segments, fields, and associated code tables under Interoperability -> Interoperate -> HL7 v2.x -> HL7 v2.x Schema Structures [1].

2. Creating Custom HL7 Schemas: If your setup requires custom mappings, Healthcare HL7 XML provides utilities for creating lookup tables to address mappings of HL7 XML group names and EnsLib.HL7.Message group names. For each schema being integrated, these lookup tables need to be established [2].

3. Transform Custom Messages: InterSystems IRIS for Health enables transforming proprietary/custom data into standard HL7 formats using Data Transformation Language (DTL). You can use graphical drag-and-drop tools for mapping fields and set fixed values or dynamic mappings [3][4].

4. Schema Modifications and Dynamic Data Structures: In cases where dynamic data structures are needed, such as varying OBX data types depending on another field's value, a custom HL7 schema can be developed. This may involve copying an existing schema like HL7 2.5 and marking it as standard to allow non-resolved references [2].

5. Leverage Open Source Applications: There are open-source applications and sample projects for transforming messages. Examples include transforming HL7 files using ER7/XML formats or testing production configurations [2].

If the migration is complex, it might be worth consulting the HL7 schemas or online courses related to Health Connect to streamline the setup. If you require example scripts or deeper assistance, reaching out to peers on the Developer Community would be beneficial [5].

Sources:

To retrieve the current status (e.g., Running, Stopped) of a specific production component programmatically, you can follow these approaches:

1. Using Ens.Util.Statistics to Check Job Status:
   Utilize the Ens.Util.Statistics.EnumerateJobStatus query to get the connection status of the component. Below is an example code snippet:

   ClassMethod GetConnectionStatus(pItemName As %String) As %String
   {
      Set tStatement = ##class(%SQL.Statement).%New()
      Set tStatus = tStatement.%PrepareClassQuery("Ens.Util.Statistics", "EnumerateJobStatus")
      If $$$ISERR(tStatus) {
          Return "Error in Status Query: "_$system.Status.GetErrorText(tStatus)
      }
      Set tRS = tStatement.%Execute(pItemName)
      If tRS.%SQLCODE = 0 {
          Do tRS.%Next()
          Return tRS.%Get("AdapterState") // This returns the status such as "running" or "stopped"
      }
      Return "Status not Found"
   }
   

   This class method takes the item name as input and fetches the current job status [1].

2. Query Ens.Job.Enumerate to Get Job Status:
   You can directly query the Ensure.Job_Enumerate to see the status of your Business Operation. Here’s an example SQL-based method:

   &sql(SELECT Status INTO :JobStatus 
       FROM Ens.Job_Enumerate() 
       WHERE ConfigName='YourComponentName')
   

   This will return job statuses like Running, DeQueuing, etc., which correspond to the state of the component [2].

These methods allow inspection of the real-time status of the component beyond the enabled/disabled state.

Sources:

To address the issue where ACKs are generated prematurely by the Router Process before receiving ACKs from downstream systems in an HL7 Pass-through interface, the following approaches can be considered:

1. Application ACK Mode in HL7 Services:

   • Configure the HL7 Service to use "Application ACK mode." This setting ensures that the business service does not send an ACK or NACK to the source application until it receives an ACK or NACK from the target application through the integration engine's operation. The service forwards the received ACK or NACK back to the upstream system, thus avoiding the generation of premature ACKs [1].

2. DTL Transformation for Custom ACKs:

   • Use a Data Transformation Language (DTL) class to create custom ACK messages based on the original HL7 message. When configuring the response logic, swap the Sending and Receiving facility/application fields in the MSH segment and preserve the original Message Control ID (MSH:10). This guarantees that the ACK matches the original message's ID [2][3].

3. Reply Code Actions Configuration:

   • In HL7 operations, the handling of ACK responses can be further controlled using Reply Code Actions such as E=D (disable the component on errors) or E=S (suspend the message flow on errors). These configurations can influence how errors or acknowledgments are processed without disrupting the interface [4].

4. Deferred Response Functionality:

   • Utilize deferred response mechanisms. This functionality allows the interface to send back ACKs as responses to upstream systems only after obtaining suitable ACKs from downstream systems. This ensures synchronization of messages with their corresponding responses [5][6].

If these measures are insufficient, subclassing or creating custom services and operations using ObjectScript might be necessary to meet unmet requirements [6][2].

Sources:

You can manually test ObjectScript code in Visual Studio Code (VS Code) using the InterSystems ObjectScript extension. Here are the steps:

1. Install the Required Extension:

   • Install the InterSystems ObjectScript Extension Pack from the VS Code Marketplace to edit, debug, and deploy ObjectScript code [1][2].

2. Set Up a Connection:

   • Configure the extension to connect to your InterSystems environment. Use the Server Manager to securely store connection details (e.g., server address, namespace, user credentials) [2][3].

3. Test ObjectScript Methods:

   • Open the ObjectScript file containing the method you want to test.
   • Place a breakpoint next to the line in the code where you want the execution to pause.
   • Start debugging using the Debug Toolbar. You may see a prompt to provide parameter values for methods, allowing you to simulate different scenarios [4].

4. Using Debug Console:

   • The Debug Console can be used to check variable values, evaluate expressions, and monitor outputs during debugging, providing visibility into the method's behavior [5].

5. View the Debugger Interface:

   • The debugger interface in VS Code shows you variable values, the call stack, and active breakpoints, enabling a thorough investigation of the code's behavior as it executes [4][6].

6. Configure launch.json for Custom Debugging:

   • In the .vscode/launch.json file, you can configure specific debugging scenarios, such as launching a particular method or attaching to an active process, for more advanced testing setups [7][4].

Testing your ObjectScript code using these tools in VS Code provides an integrated and modern environment that offers flexibility and visibility not available in traditional approaches.

Sources:

Regarding your query about ensemble-specific tasks:

Question 1: Calling a Business Operation Asynchronously and Retrieving the Response

To call a business operation asynchronously, you can utilize either the SendRequestAsync method or follow techniques that enable deferred response handling. Here’s an example:
- The Ensemble framework provides capabilities such as OnRequest and OnResponse, where asynchronous calls can return responses later. These deferred responses allow processing to be resumed when the response is retrieved [1][2].

Question 2: Extracting Variable from pResponse

Once the response is obtained, you can fetch the flag and store it using:

Set AACompletedfromPresponse = pResponse.AACompleted

Ensure that the property AACompleted exists within the structure of pResponse and is appropriately set during the execution of the business operation [1][1].

Question 3: Returning to onRequest Flow After Fetching

Returning flow naturally follows Ensemble’s architecture. After receiving the asynchronous response (via Deferred Response or other mechanisms), you can process additional logic by invoking methods such as GoAheadtoCC or GoAheadtoDD based on the flag check:

If AACompletedFromResponse {
    Set tSC = ..GoAheadtoCC(AACompletedfromPresponse)
} Else {
    Set tSC = ..GoAheadtoDD(AACompletedfromPresponse)
}

This logic should handle the response as it arrives, ensuring it adheres to the asynchronous nature of Ensemble operations [1][2][3].

For complex workflows or scenarios, you may consider implementing features like Deferred Token, or exploring Ensemble's inbuilt abilities to manage asynchronous and dependent transactions within BPL or business processes dynamically [3][1][2].

Sources:

1. To control text size within the Form Definition in FDN, there is no specific mention of how this can be handled directly in the provided documents. For tables and text-related widgets in dashboards, several options including font size control and text style specifications can be defined (examples include slider controls or input boxes). For implementation in FDN, it might follow similar principles where elements like font size or attributes could be abstracted or extended in certain ways depending on the platform [1].

2. Addressing the caching request for sections and page-based caching as opposed to loading the entire page: Specific techniques for caching sections dynamically are not provided in the retrieved information about FDN usage. However, general principles like using temporary tables or optimized database queries could be applicable to efficiently cache individual sections or pages and improve loading performance [2][3].

You may need to explore further in Community discussions or documentation specific to FDN standards to achieve detailed resolution.

Sources:

To achieve your goal of filtering results based on EMS/Ambulance patient arrivals in the ED and using a lookup table for filtering based on PV1;19 values, you can consider the following approach:

1. Using a SearchTable:

   • To create your lookup table, you can base it on the EnsLib.HL7.SearchTable class. This class allows for indexing specific fields within HL7 messages for faster query and rule processing.
   • You would typically:
     1. Copy the EnsLib.HL7.SearchTable class to a new custom class.
     2. Modify or extend the XData block to include specific fields you want to index, such as PV1;19.
     3. Assign this custom SearchTable in your production to the relevant components (like business rules or message routers) [1][2][3][4].

2. Creating the Lookup Table:

   • Your custom SearchTable would define how the PV1;19 values in incoming ADT messages are stored and indexed.
   • Examples and modifications to SearchTables can be found in related documentation and community discussions, allowing you to adjust fields such as PV1:19 for filtering purposes [3][4].

3. Referencing the Table in Business Rules:

   • Once the table is populated with relevant messages based on filtering from PV1;19, you can create business rules that reference this lookup table to decide whether subsequent result messages should be sent or filtered.
   • Ensure your business rule uses the encounter number present in the result messages and checks for its presence in the SearchTable before sending the result to the vendor [4].

4. Populating Data into the SearchTable:

   • Use the BuildIndex() method to populate indices against past messages after configuring the SearchTable. Future messages will be evaluated in real-time as they pass through the production components configured with the SearchTable [4][5][6].

This approach allows for high-performance filtering and aligns with the described requirement of checking result messages against previously processed ADT messages to identify valid cases.

If additional help is needed with specific code examples or validation, the Developer Community or detailed examples provided in documentation can provide further support.

Sources:

Based on the scenarios related to logical patients, resource associations, filtering, and business identifiers, there are two approaches available:

1. Custom Operations:

   • A custom operation in InterSystems IRIS enables you to design tailored logic that can filter data, manage tasks, and connect observations or conditions dynamically. This ensures that specific business rules are implemented and executed exactly as intended. Attributes like task ID, patient ID, filtering by date, and associations between tasks and resources can be programmed directly within this operation [1][2].

2. Production Listener:

   • A listener in production is designed to automate and continuously handle incoming data based on established rules. A listener enables asynchronous processing as data arrives and can be used to create tasks, link resources, and apply filters as per the workflow. This is commonly used for applications needing real-time resource management [1][2].

Both methods have merits depending on the workload and business needs:
- Custom operations allow greater control over conditional application logic and interactions with data, especially for complex requirements.
- Listeners are better for production environments requiring automated and continuous data handling and integration with multiple systems.

Based on your scenario, if many transformations and checks are needed per interaction—custom operations might be preferable. Whereas, for scalable, real-time processing, opting for a listener in production is more suitable.

Sources:
[1][2]

Sources: