Hi everyone, Is there a way of knowing only the first time a user is assigned to a particular experiment+variant and not sending that information multiple times for the data engineering team to deduplicate later? For context, in the Python SDK, if I specify a function

on_experiment_viewed

def on_experiment_viewed(experiment, result):
  aws_firehose.track(attributes["id"], "Experiment Viewed", {
    'experimentId': experiment.key,
    'variationId': result.key
    "timestamp": now()
  })

# Create a GrowthBook instance
gb = GrowthBook(
  attributes = attributes,
  on_experiment_viewed = on_experiment_viewed,
  api_host = "<https://cdn.growthbook.io>",
  client_key = "<some_key>"
)

gb.load_features()

feature_name = "banner-color"

# Simple on/off feature gating
if gb.is_on(feature_name):
  print("My feature is on!")
else:
  print("My feature is off")

If I run the above code in a script, it'll call our aws firehose each time the script is run, passing the same data(expect for a different

timestamp

)? We'll have to deduplicate it in our data warehouse I believe. Is my understanding correct? If so, is there a way of capturing the first time an user was assigned to a variant only? So if I run the script multiple times, it won't trigger

on_experiment_viewed

. Or any other way you recommend. Maybe, what I want is not a good idea. If so, do let me know.

we de-dupe on our queries - assuming you set the right attribution type

Thanks Graham