transform existing sql data

transforme_sql.py

@@ -0,0 +1,42 @@
+import sqlite3
+
+def transform_database(db_path):
+    # Connect to the SQLite database
+    conn = sqlite3.connect(db_path)
+    cursor = conn.cursor()
+
+    # 1. Create the new table with the desired schema.
+    cursor.execute('''
+        CREATE TABLE IF NOT EXISTS file_access_log_new (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            timestamp TEXT,
+            rel_path TEXT,
+            ip_address TEXT,
+            user_agent TEXT,
+            device_id TEXT
+        )
+    ''')
+
+    # 2. Copy data from the old table, applying the following transformations:
+    #    - Rename full_path to rel_path and remove '/mnt/' from its entries.
+    #    - Omit the referrer column.
+    #    - Copy ip_address into the new device_id column.
+    cursor.execute('''
+        INSERT INTO file_access_log_new (id, timestamp, rel_path, ip_address, user_agent, device_id)
+        SELECT id, timestamp, REPLACE(full_path, '/mnt/', ''), ip_address, user_agent, ip_address
+        FROM file_access_log
+    ''')
+
+    # 3. Drop the old table.
+    cursor.execute('DROP TABLE file_access_log')
+
+    # 4. Rename the new table to use the original table's name.
+    cursor.execute('ALTER TABLE file_access_log_new RENAME TO file_access_log')
+
+    # Commit the changes and close the connection.
+    conn.commit()
+    conn.close()
+
+if __name__ == "__main__":
+    # Replace 'your_database.db' with the path to your SQLite database file.
+    transform_database("access_log.db")