Update mentions_dashboard.py

mentions_dashboard.py

@@ -8,6 +8,11 @@ from transformers import pipeline
 
 from sessions import create_session
 
+import logging
+
+logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')
+
+
 # Load transformer-based sentiment model globally
 sentiment_pipeline = pipeline("text-classification", model="tabularisai/multilingual-sentiment-analysis")
 
@@ -68,7 +73,8 @@ def generate_mentions_dashboard(comm_client_id, comm_token_dict):
     mention_shares = [e.get("generatedActivity") for e in all_notifications if e.get("action") == "SHARE_MENTION"]
     mention_data = []
 
-    print(f"Found {len(mention_shares)} SHARE_MENTION activities")
+    logging.info(f"Fetched {len(all_notifications)} total notifications.")
+
 
 
     for share_urn in mention_shares: