iris_backend / backend /check_clusters_after_run.py
Saandraahh's picture
Implemented clustering
4b3a33f
import asyncio
import os
from supabase import create_client
from dotenv import load_dotenv
load_dotenv()
SUPABASE_URL = os.environ.get("SUPABASE_URL")
SUPABASE_KEY = os.environ.get("SUPABASE_SERVICE_ROLE_KEY") or os.environ.get("SUPABASE_KEY")
client = create_client(SUPABASE_URL, SUPABASE_KEY)
async def check_clusters():
res = client.table("profiles").select("id, cluster_label").limit(10).execute()
if not res.data:
print("No profiles found")
return
print("Sample Cluster Labels:")
for row in res.data:
print(f" - ID: {row['id']} | Label: {row['cluster_label']}")
if __name__ == "__main__":
asyncio.run(check_clusters())