diff --git a/dislocker.py b/dislocker.py
index fac49be..e11da35 100644
--- a/dislocker.py
+++ b/dislocker.py
@@ -6,6 +6,7 @@ import hashlib
 import string
 import random
 import csv
+from datetime import datetime
 
 class DL():
     def __init__(self):
@@ -190,23 +191,30 @@ class Bot(discord.Client):
             cursor.close()
             return result
 
+    def format_datetime(self, value):
+        if isinstance(value, datetime):
+            return value.strftime('%Y-%m-%d %H:%M:%S')
+        return value
+
     def report_export(self, **kwargs):
         try:
             csv_file_path = self.export_dir_path + "pc_usage_history.csv"
+            main_table = "pc_usage_history"
+            related_table = "club_member"
             cursor = dislocker.db.cursor()
             # メインテーブルの列情報を取得（user_idを除く）
-            cursor.execute(sql.SQL("SELECT * FROM {} LIMIT 0").format(sql.Identifier(main_table)))
+            cursor.execute(psycopg2.sql.SQL("SELECT * FROM {} LIMIT 0").format(psycopg2.sql.Identifier(main_table)))
             main_columns = [desc[0] for desc in cursor.description if desc[0] != 'member_id']
             
             # クエリを作成（列名を明確に指定）
-            query = sql.SQL("""
+            query = psycopg2.sql.SQL("""
                 SELECT {main_columns}, {related_table}.name
                 FROM {main_table}
                 LEFT JOIN {related_table} ON {main_table}.member_id = {related_table}.id
             """).format(
-                main_columns=sql.SQL(', ').join([sql.SQL("{}.{}").format(sql.Identifier(main_table), sql.Identifier(col)) for col in main_columns]),
-                main_table=sql.Identifier(main_table),
-                related_table=sql.Identifier(related_table)
+                main_columns=psycopg2.sql.SQL(', ').join([psycopg2.sql.SQL("{}.{}").format(psycopg2.sql.Identifier(main_table), psycopg2.sql.Identifier(col)) for col in main_columns]),
+                main_table=psycopg2.sql.Identifier(main_table),
+                related_table=psycopg2.sql.Identifier(related_table)
             )
             
             cursor.execute(query)