feat(query): update confidence threshold and enhance debug logging

Adjust confidence threshold from 0.1 to 0.3 in query_warbler function to restore normal threshold now that real HF data might be available. Enhance debug output to include top 3 relevance scores, threshold values, and no-results info for better troubleshooting.

app.py

@@ -207,7 +207,7 @@ def query_warbler(query_text: str, max_results: int = 5, use_hybrid: bool = True
         semantic_query=query_text,
         max_results=max_results,
         fractalstat_hybrid=use_hybrid,  # Full hybrid mode when user enables it
-        confidence_threshold=0.1  # Lower threshold for better fallback search results
+        confidence_threshold=0.3  # Restore normal threshold now that we might have real HF data
     )
     
     # DEBUG: Log query details
@@ -218,8 +218,13 @@ def query_warbler(query_text: str, max_results: int = 5, use_hybrid: bool = True
 
     elapsed_ms = (time.time() - start_time) * 1000
 
-    # DEBUG: Log results summary
+    # DEBUG: Log results summary with details
     print(f"DEBUG: Query completed in {elapsed_ms:.0f}ms, found {len(assembly.results)} results")
+    if assembly.results:
+        print(f"DEBUG: Top 3 relevance scores: {[r.relevance_score for r in assembly.results[:3]]}")
+        print(f"DEBUG: Confidence threshold was: {query.confidence_threshold}")
+    else:
+        print(f"DEBUG: No results above threshold: {query.confidence_threshold}")
 
     # Format results
     output = f"## Query Results\n\n"