Refresh after features updated

ml/digest-score/features.py

@@ -7,6 +7,7 @@ from datetime import datetime, timedelta
 import os
 from io import BytesIO
 import tempfile
+import requests
 
 import pyarrow as pa
 import pyarrow.parquet as pq
@@ -17,8 +18,21 @@ from features.user_history import generate_and_upload_user_history
 
 from datetime import datetime, timezone
 
+def call_refresh_api(api):
+  try:
+    response = requests.get(api, timeout=10)
+    if response.status_code == 200:
+        print("scoring service refreshed")
+    else:
+        print(f"failed to refresh scoring service: {response.status_code}")
+  except requests.exceptions.Timeout:
+      print(f"The request timed out after {timeout} seconds")
+  except requests.exceptions.RequestException as e:
+      print(f"An error occurred while refreshing scoring service: {e}")
+
 
 def main():
+  score_service = os.getenv("SCORING_SERVICE_URL")
   num_days_history = os.getenv('NUM_DAYS_HISTORY')
   gcs_bucket_name = os.getenv('GCS_BUCKET')
 
@@ -29,6 +43,9 @@ def main():
   extract_and_upload_raw_data(execution_date, num_days_history, gcs_bucket_name)
   generate_and_upload_user_history(execution_date, gcs_bucket_name)
 
+  if score_service:
+    call_refresh_api(score_service)
+
   print("done")
 
 if __name__ == "__main__":