rebuild trigger

components/generators/daily_feed.py

@@ -31,7 +31,7 @@ TOPIC_KEYS = [t.lower().replace(" news", "") for t in TOPICS]
 # Removed the "numbered headline" instruction as we want LLM to just give plain headlines
 BASE_PROMPT = (
     "You are Nuse’s editorial summarizer. Read the excerpts below and extract the most important stories. "
-    "Return up to 3 punchy headlines, each under 20 words. Each headline should be followed by a short explanation of why the story matters."
+    "Return up to 5 punchy headlines, each under 20 words. Each headline should be followed by a short explanation of why the story matters."
     "Don't include unnecessary text like 'this is important because' or 'why this matters because..' just state the logic and nothing else."
 )
 
@@ -41,7 +41,7 @@ def load_docs_by_topic_with_refs() -> Dict[str, List[Dict]]:
     logging.info("Starting to load documents by topic from Upstash Vector Store...")
     try:
         vector_store = get_upstash_vector_store()
-        for full_topic_name, topic_key in zip(TOPICS, TOPIC_KEYS):
+        for topic_key in zip(TOPICS, TOPIC_KEYS):
             filters = MetadataFilters(
                 filters=[MetadataFilter(key="topic", value=topic_key, operator=FilterOperator.EQ)]
             )
@@ -197,7 +197,7 @@ def get_cached_daily_feed():
             logging.info(f"ℹ️ No cached data found under key '{cache_key}'.")
             return []
     except Exception as e:
-        logging.error(f"❌ [get_cached_daily_feed Error]: {e}", exc_info=True)
+        logging.error(f"❌ [get_cached_daily_feed error]: {e}", exc_info=True)
         return []
 
 # 🧪 Run if main