Getting Data In

ERROR ExecProcessor - message from "script.py" Error: cannot serialize {json}

manudbc
Explorer

Hi,
I have a Script which download a Json, it look like:
def stream_events(self, inputs, ew):
ew.log("INFO","Adding data")
for input_name, input_item in inputs.inputs.iteritems():
api = input_item["api"]

                        try:
                                r = requests.get("URL".format(api))
                                t = json.loads(r.content)
                        except Exception as e:
                                ew.log("ERROR", "Error: %s" % str(e))

                        try:
                                for elements in t['notifications']:
                                        logevent = Event()
                                        logevent.stanza = input_name
                                        logevent.data = elements
                                        ew.write_event(logevent)
                        except Exception as e:
                                ew.log("ERROR", "Error: %s" % str(e))

And I having thaths error in index= "__internals":
ERROR ExecProcessor - message from "script.py" Error: cannot serialize {json}

How can I solve It?

Tags (2)
0 Karma
1 Solution

manudbc
Explorer

Solved
It was a problem in this line:
logevent.data = elements

Solved line:
logevent.data = json.dumps(elements, sort_keys=True, separators=(',',':'))

View solution in original post

0 Karma

manudbc
Explorer

Solved
It was a problem in this line:
logevent.data = elements

Solved line:
logevent.data = json.dumps(elements, sort_keys=True, separators=(',',':'))

0 Karma
Get Updates on the Splunk Community!

Announcing Scheduled Export GA for Dashboard Studio

We're excited to announce the general availability of Scheduled Export for Dashboard Studio. Starting in ...

Extending Observability Content to Splunk Cloud

Watch Now!   In this Extending Observability Content to Splunk Cloud Tech Talk, you'll see how to leverage ...

More Control Over Your Monitoring Costs with Archived Metrics GA in US-AWS!

What if there was a way you could keep all the metrics data you need while saving on storage costs?This is now ...