Adding some prints to check for stint stat matching.

src/streamlit_app.py

@@ -181,12 +181,28 @@ def init_baselines(data_req: str):
             cursor = collection.find()
             stint_stats = pd.DataFrame(list(cursor))
             
+            print(f"DEBUG: Loaded {len(stint_stats)} stint_stats records")
+            
             if len(stint_stats) > 0:
                 # Create stint_id in game_rot for merging (ensure float format to match data hook)
                 game_rot['stint_id'] = (game_rot['GAME_ID'].astype(str) + '_' + 
                                         game_rot['PERSON_ID'].astype(str) + '_' + 
                                         game_rot['Start'].apply(lambda x: str(float(x))))
                 
+                # DEBUG: Show sample stint_ids from both sources
+                print(f"DEBUG: Sample game_rot stint_id: {game_rot['stint_id'].iloc[0]}")
+                print(f"DEBUG: Sample stint_stats stint_id: {stint_stats['stint_id'].iloc[0]}")
+                
+                # DEBUG: Check for MPJ specifically
+                mpj_rot = game_rot[(game_rot['PERSON_ID'] == 1629008) & (game_rot['GAME_ID'] == '0022500656')]
+                mpj_stint = stint_stats[stint_stats['stint_id'] == '0022500656_1629008_0.0']
+                print(f"DEBUG: MPJ rotation records: {len(mpj_rot)}")
+                print(f"DEBUG: MPJ stint_stats records: {len(mpj_stint)}")
+                if len(mpj_rot) > 0:
+                    print(f"DEBUG: MPJ rotation stint_id: '{mpj_rot.iloc[0]['stint_id']}'")
+                if len(mpj_stint) > 0:
+                    print(f"DEBUG: MPJ stint_stats stint_PTS: {mpj_stint.iloc[0]['stint_PTS']}")
+                
                 # Select columns to merge from stint_stats
                 stint_cols = ['stint_id', 'stint_PTS', 'stint_FGM', 'stint_FGA', 'stint_FG3M', 'stint_FG3A',
                              'stint_FTM', 'stint_FTA', 'stint_REB', 'stint_OREB', 'stint_DREB',
@@ -195,21 +211,31 @@ def init_baselines(data_req: str):
                 
                 # Keep only columns that exist
                 available_cols = [col for col in stint_cols if col in stint_stats.columns]
-                stint_stats_subset = stint_stats[available_cols]
+                stint_stats_subset = stint_stats[available_cols].copy()
                 
                 # Convert stint stats to numeric
                 numeric_cols = [col for col in available_cols if col != 'stint_id']
                 stint_stats_subset[numeric_cols] = stint_stats_subset[numeric_cols].apply(pd.to_numeric, errors='coerce')
                 
+                # DEBUG: Check matching before merge
+                matching_ids = set(game_rot['stint_id']).intersection(set(stint_stats_subset['stint_id']))
+                print(f"DEBUG: Matching stint_ids before merge: {len(matching_ids)}")
+                
                 # Merge stint stats with rotations
                 game_rot = game_rot.merge(stint_stats_subset, on='stint_id', how='left')
                 
+                # DEBUG: Check result after merge
+                non_zero_pts = (game_rot['stint_PTS'] > 0).sum() if 'stint_PTS' in game_rot.columns else 0
+                print(f"DEBUG: After merge - non-zero stint_PTS count: {non_zero_pts}")
+                
                 # Fill NaN stint stats with 0
                 for col in numeric_cols:
                     if col in game_rot.columns:
                         game_rot[col] = game_rot[col].fillna(0)
         except Exception as e:
-            print(f"Note: Could not load stint stats: {e}")
+            print(f"ERROR loading stint stats: {e}")
+            import traceback
+            traceback.print_exc()
     
     return gamelog_table, game_rot, timestamp