Excelシートで出力できるように
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2 changed files with 129 additions and 12 deletions
34
dislocker.py
34
dislocker.py
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@ -6,8 +6,8 @@ from psycopg2 import sql
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import hashlib
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import string
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import random
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import csv
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from datetime import datetime
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from openpyxl import Workbook
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class DL():
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def __init__(self):
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@ -203,6 +203,7 @@ class Bot(discord.Client):
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csv_file_path = dislocker.export_dir_path + "pc_usage_history.csv"
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main_table = "pc_usage_history"
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related_table = "club_member"
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excel_file_path = dislocker.export_dir_path + "pc_usage_history.xlsx"
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# メインテーブルの列情報を取得(user_idを除く)
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cursor.execute(sql.SQL("SELECT * FROM {} LIMIT 0").format(sql.Identifier(main_table)))
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@ -227,17 +228,36 @@ class Bot(discord.Client):
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rows = cursor.fetchall()
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with open(csv_file_path, 'w', newline='', encoding='utf-8-sig') as csvfile:
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csvwriter = csv.writer(csvfile)
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csvwriter.writerow(column_names)
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# Excelワークブックを作成
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wb = Workbook()
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ws = wb.active
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# 列名を書き込み
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ws.append(column_names)
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# データを書き込み
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for row in rows:
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# nameを2番目に移動
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formatted_row = [self.format_datetime(row[0])] + [row[-1]] + [self.format_datetime(field) if field is not None else '' for field in row[1:-1]]
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csvwriter.writerow(formatted_row)
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ws.append(formatted_row)
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print(f"テーブル '{main_table}' の内容を '{csv_file_path}' に出力しました。")
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result = {"result": "ok", "file_path": csv_file_path}
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# 列幅を自動調整
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for col in ws.columns:
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max_length = 0
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column = col[0].column_letter
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for cell in col:
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try:
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if len(str(cell.value)) > max_length:
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max_length = len(str(cell.value))
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except:
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pass
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adjusted_width = (max_length + 2) * 1.2
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ws.column_dimensions[column].width = adjusted_width
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# Excelファイルを保存
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wb.save(excel_file_path)
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print(f"テーブル '{main_table}' の内容を '{excel_file_path}' に出力しました。")
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except (Exception, psycopg2.Error) as error:
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print("使用履歴のエクスポート時にエラーが発生しました\nエラー内容\n", str(error))
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97
temp/xcel.py
Normal file
97
temp/xcel.py
Normal file
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@ -0,0 +1,97 @@
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import psycopg2
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import csv
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from psycopg2 import sql
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from datetime import datetime
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from openpyxl import Workbook
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from openpyxl.utils import get_column_letter
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def format_datetime(value):
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if isinstance(value, datetime):
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return value.strftime('%Y-%m-%d %H:%M:%S')
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return value
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def export_table_to_excel(host, port, database, user, password, main_table, related_table, excel_file_path):
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try:
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conn = psycopg2.connect(
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host=host,
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port=port,
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database=database,
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user=user,
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password=password
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)
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cur = conn.cursor()
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# メインテーブルの列情報を取得(member_idを除く)
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cur.execute(sql.SQL("SELECT * FROM {} LIMIT 0").format(sql.Identifier(main_table)))
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main_columns = [desc[0] for desc in cur.description if desc[0] != 'member_id']
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# クエリを作成(列名を明確に指定)
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query = sql.SQL("""
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SELECT {main_columns}, {related_table}.name
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FROM {main_table}
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LEFT JOIN {related_table} ON {main_table}.member_id = {related_table}.id
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""").format(
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main_columns=sql.SQL(', ').join([sql.SQL("{}.{}").format(sql.Identifier(main_table), sql.Identifier(col)) for col in main_columns]),
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main_table=sql.Identifier(main_table),
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related_table=sql.Identifier(related_table)
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)
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cur.execute(query)
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# 列名を再構成(nameを2番目に配置)
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column_names = [main_columns[0], 'name'] + main_columns[1:]
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rows = cur.fetchall()
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# Excelワークブックを作成
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wb = Workbook()
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ws = wb.active
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# 列名を書き込み
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ws.append(column_names)
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# データを書き込み
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for row in rows:
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# nameを2番目に移動
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formatted_row = [format_datetime(row[0])] + [row[-1]] + [format_datetime(field) if field is not None else '' for field in row[1:-1]]
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ws.append(formatted_row)
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# 列幅を自動調整
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for col in ws.columns:
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max_length = 0
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column = col[0].column_letter
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for cell in col:
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try:
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if len(str(cell.value)) > max_length:
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max_length = len(str(cell.value))
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except:
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pass
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adjusted_width = (max_length + 2) * 1.2
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ws.column_dimensions[column].width = adjusted_width
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# Excelファイルを保存
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wb.save(excel_file_path)
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print(f"テーブル '{main_table}' の内容を '{excel_file_path}' に出力しました。")
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except (Exception, psycopg2.Error) as error:
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print("エラーが発生しました:", error)
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finally:
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if conn:
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cur.close()
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conn.close()
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print("データベース接続を閉じました。")
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# 使用例
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host = "192.168.1.220"
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port = "12245"
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database = "dislocker"
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user = "suti7"
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password = "Testing1234"
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main_table = "pc_usage_history"
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related_table = "club_member"
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excel_file_path = "output.xlsx"
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export_table_to_excel(host, port, database, user, password, main_table, related_table, excel_file_path)
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