Adding initialize_vfb_connect

performance.md

@@ -1,9 +1,9 @@
 # VFBquery Performance Test Results
 
-**Test Date:** 2025-10-21 03:01:50 UTC
-**Git Commit:** 0b907afb912bf74823942a33ffb91ef50531c457
-**Branch:** main
-**Workflow Run:** 18671440241
+**Test Date:** 2025-10-21 16:36:49 UTC
+**Git Commit:** 3c071f3202c2997ad95c1314c2a14762f2b05464
+**Branch:** dev
+**Workflow Run:** 18690968894
 
 ## Test Overview
 
@@ -25,11 +25,11 @@ This performance test measures the execution time of VFB term info queries for s
 
 ✅ **Test Status**: Performance test completed
 
-- **FBbt_00003748 Query Time**: 1.4273 seconds
-- **VFB_00101567 Query Time**: 1.3915 seconds
-- **Total Query Time**: 2.8188 seconds
+- **FBbt_00003748 Query Time**: 1.5294 seconds
+- **VFB_00101567 Query Time**: 1.2568 seconds
+- **Total Query Time**: 2.7862 seconds
 
 🎉 **Result**: All performance thresholds met!
 
 ---
-*Last updated: 2025-10-21 03:01:50 UTC*
+*Last updated: 2025-10-21 16:36:49 UTC*

src/vfbquery/vfb_queries.py

@@ -59,6 +59,23 @@ def get_dict_cursor():
 # Replace VfbConnect with SolrTermInfoFetcher
 vc = SolrTermInfoFetcher()
 
+def initialize_vfb_connect():
+    """
+    Initialize VFB_connect by triggering the lazy load of the vfb and nc properties.
+    This causes VFB_connect to cache all terms, which takes ~95 seconds on first call.
+    Subsequent calls to functions using vc.nc will be fast.
+
+    :return: True if initialization successful, False otherwise
+    """
+    try:
+        # Access the properties to trigger lazy loading
+        _ = vc.vfb
+        _ = vc.nc
+        return True
+    except Exception as e:
+        print(f"Failed to initialize VFB_connect: {e}")
+        return False
+
 class Query:
     def __init__(self, query, label, function, takes, preview=0, preview_columns=[], preview_results=[], output_format="table", count=-1):
         self.query = query