All Apps and Add-ons

REST API Modular Input

preben12
Communicator

I calling a remote http endpoint that returns xml in the form of

<AdaptersStatus xmlns="http://xx.xx/xxxx/services/monitoring">
   <Status>ERROR</Status>
   <Timestamp>2013-11-14T13:33:48</Timestamp>
   <MonitoredAdapterStatus>
      <Status>
         <Timestamp>2013-11-14T13:33:47</Timestamp>
         <ApplicationStatus>OK</ApplicationStatus>
         <ApplicationVersion>1.0.19</ApplicationVersion>
         <MonitoredRessources>
            <DisplayName>Route monitor :: audit-trail-Route</DisplayName>
            <Status>OK</Status>
         </MonitoredRessources>
         <MonitoredRessources>
             <DisplayName>Route monitor :: bam-route</DisplayName>
             <Status>OK</Status>
         </MonitoredRessources>
     </Status>
     <Configuration>
        <URL>http://xxxxxx:7003/audit-trail/status</URL>
        <AdapterName>audit-trail</AdapterName>
     </Configuration>
  </MonitoredAdapterStatus> 
</AdaptersStatus>

I'm actually only interested in indexing the first field and the field, in this case ERROR, 2013-11-14Tx, and a sourcetype that indicates what rest service has been called.

I figured out that if I do = | rex "(?i)<.*?>(?P\w+)(?=<)" I will get a Key value of the Status field, but how can i make rest_ta index that, and discard the rest of the xml response ?

Tags (1)
0 Karma
1 Solution

Damien_Dallimor
Ultra Champion

The REST API Modular Input is generic ie: it can be used against any HTTP REST endpoint. So it has the ability to plugin custom response handlers for any custom pre-processing or formatting of your response data.

To do this you add a custom response handler class to etc/apps/rest_ta/bin/responsehandlers.py and in the stanza setup declare that this handler should be applied.

So you could write a handler to just strip out and index the elements you are interested in.

Very quick rough code :

class MyCustomResponseHandler:

    def __init__(self,**args):
        pass

    def __call__(self, response_object,raw_response_output,response_type,req_args,endpoint):

        from xml.dom import minidom
        dom = minidom.parseString(raw_response_output)
        status = dom.getElementsByTagName('Status')
        timestamp = dom.getElementsByTagName('Timestamp')
        status[0].firstChild.nodeValue
        timestamp[0].firstChild.nodeValue

        processed_response_output = 'status='+status[0].firstChild.nodeValue+' timestamp='+timestamp[0].firstChild.nodeValue

        print_xml_stream(processed_response_output)

alt text

View solution in original post

Damien_Dallimor
Ultra Champion

The REST API Modular Input is generic ie: it can be used against any HTTP REST endpoint. So it has the ability to plugin custom response handlers for any custom pre-processing or formatting of your response data.

To do this you add a custom response handler class to etc/apps/rest_ta/bin/responsehandlers.py and in the stanza setup declare that this handler should be applied.

So you could write a handler to just strip out and index the elements you are interested in.

Very quick rough code :

class MyCustomResponseHandler:

    def __init__(self,**args):
        pass

    def __call__(self, response_object,raw_response_output,response_type,req_args,endpoint):

        from xml.dom import minidom
        dom = minidom.parseString(raw_response_output)
        status = dom.getElementsByTagName('Status')
        timestamp = dom.getElementsByTagName('Timestamp')
        status[0].firstChild.nodeValue
        timestamp[0].firstChild.nodeValue

        processed_response_output = 'status='+status[0].firstChild.nodeValue+' timestamp='+timestamp[0].firstChild.nodeValue

        print_xml_stream(processed_response_output)

alt text

Damien_Dallimor
Ultra Champion

Cool, not bad for untested code 🙂

0 Karma

preben12
Communicator

whoa - works like a charm 🙂

0 Karma

preben12
Communicator

Thanks Damien
I'll give your suggestions a try.

0 Karma
Career Survey
First 500 qualified respondents will receive a $20 gift card! Tell us about your professional Splunk journey.
Get Updates on the Splunk Community!

Splunk AI Assistant for SPL vs. ChatGPT: Which One is Better?

In the age of AI, every tool promises to make our lives easier. From summarizing content to writing code, ...

Data Persistence in the OpenTelemetry Collector

This blog post is part of an ongoing series on OpenTelemetry. What happens if the OpenTelemetry collector ...

Thanks for the Memories! Splunk University, .conf25, and our Community

Thank you to everyone in the Splunk Community who joined us for .conf25, which kicked off with our iconic ...