tempの中を削除

This commit is contained in:
suti7yk5032 2024-09-05 21:03:39 +09:00
parent 036e1c0b0b
commit a6c856cf48
9 changed files with 1 additions and 304 deletions

3
.gitignore vendored
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@ -164,5 +164,4 @@ config/
db/
test.py
data/
export/
temp/
export/

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@ -1,40 +0,0 @@
import os
import subprocess
import shutil
def delete_appdata(**kwargs):
process_name = kwargs["process_name"]
dir_path = kwargs["dir_path"]
if not os.path.exists(dir_path):
print(f"エラー: 指定されたディレクトリ {dir_path} が存在しません。")
return 1
try:
# プロセスの終了
subprocess.run(['taskkill', '/f', '/t', '/im', process_name])
print(f"{process_name} を終了しました。")
# ディレクトリの削除
shutil.rmtree(dir_path)
print(f"{dir_path} を削除しました。")
return 0
except subprocess.CalledProcessError as e:
print(f"プロセス終了エラー: {e}")
return 1
except PermissionError as e:
print(f"権限エラー: {e}")
return 1
except Exception as error:
print("エラーが発生しました。\nエラー内容:")
print(f"エラータイプ: {error.__class__.__name__}")
print(f"エラー引数: {error.args}")
print(f"エラーメッセージ: {str(error)}")
return 1
appdata_local = os.path.expandvars("%LOCALAPPDATA%")
appdata_roaming = os.path.expandvars("%APPDATA%")
print(appdata_local, appdata_roaming)
print(f"{appdata_local}\\Steam")
steam_del = delete_appdata(process_name="steam.exe", dir_path=f"{appdata_local}\\Steam")

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@ -1,77 +0,0 @@
import psycopg2
import csv
from psycopg2 import sql
from datetime import datetime
def format_datetime(value):
if isinstance(value, datetime):
return value.strftime('%Y-%m-%d %H:%M:%S')
return value
def export_table_to_csv(host, port, database, user, password, main_table, related_table, related_column, csv_file_path):
try:
# データベースに接続
conn = psycopg2.connect(
host=host,
port=port,
database=database,
user=user,
password=password
)
cur = conn.cursor()
# メインテーブルの列情報を取得user_idを除く
cur.execute(sql.SQL("SELECT * FROM {} LIMIT 0").format(sql.Identifier(main_table)))
main_columns = [desc[0] for desc in cur.description if desc[0] != 'member_id']
# クエリを作成(列名を明確に指定)
query = 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)
)
cur.execute(query)
# 列名を再構成nameを2番目に配置
column_names = [main_columns[0], 'name'] + main_columns[1:]
rows = cur.fetchall()
with open(csv_file_path, 'w', newline='', encoding='utf-8-sig') as csvfile:
csvwriter = csv.writer(csvfile)
csvwriter.writerow(column_names)
for row in rows:
# nameを2番目に移動
formatted_row = [format_datetime(row[0])] + [row[-1]] + [format_datetime(field) if field is not None else '' for field in row[1:-1]]
csvwriter.writerow(formatted_row)
print(f"テーブル '{main_table}' の内容を '{csv_file_path}' に出力しました。")
except (Exception, psycopg2.Error) as error:
print("エラーが発生しました:", error)
finally:
if conn:
cur.close()
conn.close()
print("データベース接続を閉じました。")
# 使用例
host = "192.168.1.220"
port = "12245"
database = "dislocker"
user = "suti7"
password = "Testing1234"
main_table = "pc_usage_history"
related_table = "club_member"
related_column = "name" # 例: 登録者の名前を表示したい場合
csv_file_path = "output.csv"
export_table_to_csv(host, port, database, user, password, main_table, related_table, related_column, csv_file_path)

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@ -1,22 +0,0 @@
import wmi
import asyncio
async def watcher():
c=wmi.WMI()
cre_process_watcher=c.Win32_Process.watch_for("creation")
del_process_watcher=c.Win32_Process.watch_for("deletion")
while True:
new_cre_process=cre_process_watcher()
new_del_process=del_process_watcher()
print(new_cre_process.Caption+" has been created")
print(new_del_process.Caption+" has been deleted ")
async def main():
kill_task = asyncio.TaskGroup(watcher())
print('hello world')
await asyncio.sleep(1)
print('1sec')
await kill_task
asyncio.run(main())

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@ -1,16 +0,0 @@
import random
import string
# パスワードをファイルから読み込む
with open('password.txt', 'r') as f:
secret = f.read()
check=int(input("password :"))
if check==int(secret):
print("ok")
secret=0
with open('password.txt', 'w') as file:
file.write('')
else:
print("out")

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@ -1,9 +0,0 @@
import os
# PowerShellコマンドを実行する関数
def run_powershell_command(command):
# PowerShellコマンドを実行
os.system(f"powershell -Command {command}")
# 例としてGet-Dateコマンドを実行して現在の日時を取得
run_powershell_command("Get-Date")

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@ -1,41 +0,0 @@
import discord
import string
import random
# Intentsの設定
intents = discord.Intents.default()
intents.message_content = True
# 接続に必要なオブジェクトを生成
client = discord.Client(intents=intents)
# 起動時に動作する処理
@client.event
async def on_ready():
# 起動したらターミナルにログイン通知が表示される
print('ログインしました')
# メッセージ受信時に動作する処理
@client.event
async def on_message(message):
# メッセージ送信者がBotだった場合は無視する
if message.author.bot:
return
# 「/neko」と発言したら「にゃーん」が返る処理
if message.content == "/neko":
await message.channel.send('にゃーん')
if message.content == '/password':
secret=password_generator_n(4)
await message.channel.send(str(secret))
with open('password.txt', 'a') as file:
file.write(secret)
def password_generator_n(length):
numbers = string.digits # (1)
password = ''.join(random.choice(numbers) for _ in range(length)) # (2)
return password
# Botの起動とDiscordサーバーへの接続
client.run('MTI0NzA1Mzc1NzUxOTM2NDEyNw.Gh5gIt.kz1acBMxphff9mEZLLWrEdEoVD4RJwgBW5P14o')

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@ -1,97 +0,0 @@
import psycopg2
import csv
from psycopg2 import sql
from datetime import datetime
from openpyxl import Workbook
from openpyxl.utils import get_column_letter
def format_datetime(value):
if isinstance(value, datetime):
return value.strftime('%Y-%m-%d %H:%M:%S')
return value
def export_table_to_excel(host, port, database, user, password, main_table, related_table, excel_file_path):
try:
conn = psycopg2.connect(
host=host,
port=port,
database=database,
user=user,
password=password
)
cur = conn.cursor()
# メインテーブルの列情報を取得member_idを除く
cur.execute(sql.SQL("SELECT * FROM {} LIMIT 0").format(sql.Identifier(main_table)))
main_columns = [desc[0] for desc in cur.description if desc[0] != 'member_id']
# クエリを作成(列名を明確に指定)
query = 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)
)
cur.execute(query)
# 列名を再構成nameを2番目に配置
column_names = [main_columns[0], 'name'] + main_columns[1:]
rows = cur.fetchall()
# Excelワークブックを作成
wb = Workbook()
ws = wb.active
# 列名を書き込み
ws.append(column_names)
# データを書き込み
for row in rows:
# nameを2番目に移動
formatted_row = [format_datetime(row[0])] + [row[-1]] + [format_datetime(field) if field is not None else '' for field in row[1:-1]]
ws.append(formatted_row)
# 列幅を自動調整
for col in ws.columns:
max_length = 0
column = col[0].column_letter
for cell in col:
try:
if len(str(cell.value)) > max_length:
max_length = len(str(cell.value))
except:
pass
adjusted_width = (max_length + 2) * 1.2
ws.column_dimensions[column].width = adjusted_width
# Excelファイルを保存
wb.save(excel_file_path)
print(f"テーブル '{main_table}' の内容を '{excel_file_path}' に出力しました。")
except (Exception, psycopg2.Error) as error:
print("エラーが発生しました:", error)
finally:
if conn:
cur.close()
conn.close()
print("データベース接続を閉じました。")
# 使用例
host = "192.168.1.220"
port = "12245"
database = "dislocker"
user = "suti7"
password = "Testing1234"
main_table = "pc_usage_history"
related_table = "club_member"
excel_file_path = "output.xlsx"
export_table_to_excel(host, port, database, user, password, main_table, related_table, excel_file_path)