1.7.0: New features.

scripts/debug_jacky.py

@@ -0,0 +1,94 @@
+
+import sqlite3
+import pandas as pd
+import os
+
+# Config
+L2_DB_PATH = r'database/L2/L2_Main.sqlite'
+
+def debug_player_data(username_pattern='jAckY'):
+    if not os.path.exists(L2_DB_PATH):
+        print(f"Error: L2 DB not found at {L2_DB_PATH}")
+        return
+
+    conn_l2 = sqlite3.connect(L2_DB_PATH)
+    
+    print(f"--- Debugging Player: {username_pattern} ---")
+    
+    try:
+        # 1. Find the player ID
+        q_id = f"SELECT steam_id_64, username FROM dim_players WHERE username LIKE '%{username_pattern}%'"
+        df_player = pd.read_sql_query(q_id, conn_l2)
+        
+        if df_player.empty:
+            print("Player not found.")
+            return
+            
+        target_id = df_player.iloc[0]['steam_id_64']
+        name = df_player.iloc[0]['username']
+        print(f"Found: {name} ({target_id})")
+        
+        # 2. Check Match Stats (ADR, Rounds)
+        q_matches = f"""
+        SELECT match_id, round_total, adr, (adr * round_total) as damage_calc
+        FROM fact_match_players 
+        WHERE steam_id_64 = '{target_id}'
+        """
+        df_matches = pd.read_sql_query(q_matches, conn_l2)
+        
+        total_dmg = df_matches['damage_calc'].sum()
+        total_rounds = df_matches['round_total'].sum()
+        print(f"\nMatch Stats:")
+        print(f"Matches Played: {len(df_matches)}")
+        print(f"Total Rounds: {total_rounds}")
+        print(f"Total Damage (Calc): {total_dmg:,.0f}")
+        
+        # 3. Check Economy Stats (Spend)
+        q_eco = f"""
+        SELECT match_id, COUNT(*) as rounds_with_eco, SUM(equipment_value) as spend
+        FROM fact_round_player_economy
+        WHERE steam_id_64 = '{target_id}'
+        GROUP BY match_id
+        """
+        df_eco = pd.read_sql_query(q_eco, conn_l2)
+        
+        total_spend = df_eco['spend'].sum()
+        total_eco_rounds = df_eco['rounds_with_eco'].sum()
+        
+        print(f"\nEconomy Stats:")
+        print(f"Matches with Eco Data: {len(df_eco)}")
+        print(f"Rounds with Eco Data: {total_eco_rounds}")
+        print(f"Total Spend: ${total_spend:,.0f}")
+        
+        # 4. Compare
+        print(f"\nComparison:")
+        print(f"Rounds in Match Stats: {total_rounds}")
+        print(f"Rounds in Eco Stats:   {total_eco_rounds}")
+        
+        if total_eco_rounds < total_rounds:
+            print(f"⚠️ WARNING: Missing economy data for {total_rounds - total_eco_rounds} rounds!")
+            
+            # Find matches with missing eco data
+            merged = df_matches.merge(df_eco, on='match_id', how='left')
+            missing = merged[merged['spend'].isna() | (merged['spend'] == 0)]
+            
+            if not missing.empty:
+                print(f"\nMatches with ZERO spend/Missing Eco:")
+                print(missing[['match_id', 'round_total', 'damage_calc']])
+                
+                # Check calculation impact
+                valid_dmg = merged[merged['spend'] > 0]['damage_calc'].sum()
+                print(f"\nRecalculation ignoring missing matches:")
+                print(f"Valid Damage: {valid_dmg:,.0f}")
+                print(f"Total Spend: ${total_spend:,.0f}")
+                if total_spend > 0:
+                    new_val = valid_dmg / (total_spend / 1000)
+                    print(f"Corrected Dmg/$1k: {new_val:.2f}")
+                
+    except Exception as e:
+        print(f"Error: {e}")
+    finally:
+        conn_l2.close()
+
+if __name__ == "__main__":
+    debug_player_data()