Save local changes (GSC/Bing integrations) before merging PR #354

backend/scripts/inspect_dbs.py

@@ -0,0 +1,57 @@
+import os
+import sqlite3
+import pandas as pd
+from pathlib import Path
+
+def inspect_dbs():
+    root = Path(os.getcwd())
+    workspace_dir = root / 'workspace'
+    
+    if not workspace_dir.exists():
+        print("No workspace directory found.")
+        return
+
+    print(f"Scanning {workspace_dir} for databases...")
+    
+    for user_dir in workspace_dir.iterdir():
+        if user_dir.is_dir() and user_dir.name.startswith('workspace_'):
+            db_dir = user_dir / 'db'
+            if db_dir.exists():
+                for db_file in db_dir.glob('*.db'):
+                    print(f"\n--- Checking DB: {db_file} ---")
+                    try:
+                        conn = sqlite3.connect(db_file)
+                        
+                        # Check tables
+                        cursor = conn.cursor()
+                        cursor.execute("SELECT name FROM sqlite_master WHERE type='table';")
+                        tables = [r[0] for r in cursor.fetchall()]
+                        print(f"Tables: {len(tables)}")
+                        
+                        if 'api_usage_logs' in tables:
+                            count = cursor.execute("SELECT count(*) FROM api_usage_logs").fetchone()[0]
+                            print(f"api_usage_logs count: {count}")
+                            if count > 0:
+                                # Show last 5 logs
+                                print("Last 5 logs:")
+                                df = pd.read_sql_query("SELECT * FROM api_usage_logs ORDER BY created_at DESC LIMIT 5", conn)
+                                print(df[['id', 'provider', 'model_used', 'cost_total', 'created_at']].to_string())
+                        else:
+                            print("Table 'api_usage_logs' NOT found.")
+                            
+                        if 'usage_summaries' in tables:
+                            print("Usage Summaries:")
+                            df = pd.read_sql_query("SELECT * FROM usage_summaries", conn)
+                            if not df.empty:
+                                print(df.to_string())
+                            else:
+                                print("Table 'usage_summaries' is empty.")
+                        else:
+                            print("Table 'usage_summaries' NOT found.")
+                            
+                        conn.close()
+                    except Exception as e:
+                        print(f"Error reading DB: {e}")
+
+if __name__ == "__main__":
+    inspect_dbs()