Update app.py

app.py

@@ -118,11 +118,15 @@ def index():
 def search():
     query = request.form.get('search')
     if not query:
+        logger.info("Empty search query received")
         return render_template("index.html", categorized_articles={}, has_articles=False, loading=False)
 
     try:
         logger.info(f"Searching for: {query}")
+        # Embed the query using the same embedding model as vector_db
         results = vector_db.similarity_search(query, k=10)
+        logger.info(f"Search returned {len(results)} results")
+        
         enriched_articles = []
         seen_keys = set()
         for doc in results:
@@ -138,7 +142,7 @@ def search():
                     "link": link,
                     "description": meta.get("original_description", "No Description"),
                     "category": meta.get("category", "Uncategorized"),
-                    "published": meta.get("published", "Unknown Date"),
+                    "published": published,
                     "image": meta.get("image", "svg"),
                 })
 
@@ -147,6 +151,7 @@ def search():
             cat = article["category"]
             categorized_articles.setdefault(cat, []).append(article)
 
+        logger.info(f"Found {len(enriched_articles)} unique articles across {len(categorized_articles)} categories")
         return render_template("index.html", categorized_articles=categorized_articles, has_articles=bool(enriched_articles), loading=False)
     except Exception as e:
         logger.error(f"Search error: {e}")