django-celery
This skill leverages Django and Celery for asynchronous task processing, encompassing task queuing, worker management, error handling, and scheduling. It offloads time-consuming operations like email sending or data processing to background execution, significantly improving application responsiveness and user experience. This enables the automation of complex business workflows and ensures efficient resource utilization by decoupling long-running tasks from the main application flow.
npx skills add https://github.com/affaan-m/everything-claude-code --skill django-celeryBefore / After Comparison
1 组Users experienced significant delays when performing time-consuming operations like sending bulk emails or generating complex reports, leading to frozen UIs or timeouts. This severely impacted user experience and system availability. Developers struggled with complex synchronous logic, making it hard to scale and maintain.
This skill asynchronously processes time-consuming tasks, allowing users to receive immediate responses without waiting. Background tasks are handled automatically, ensuring smooth system operation. Developers can easily define, schedule, and monitor tasks, boosting development efficiency and significantly enhancing system scalability.
Django + Celery 非同期タスク
Django でのバックグラウンドジョブと非同期処理。
使用時期
- メール送信をバックグラウンドで実行
- 重い処理をスケジュール
- 定期的なタスクを実行(日報、クリーンアップ)
- 外部API呼び出しをキューイング
- 複雑なワークフローを調整
セットアップ
1. Celery インストール
pip install celery redis
2. タスク定義
from celery import shared_task
@shared_task
def send_email(recipient):
# メール送信ロジック
pass
3. ワーカー起動
celery -A myapp worker -l info
タスク
非同期実行
send_email.delay(recipient) # すぐにキューに追加、非同期実行
スケジューリング
from celery.schedules import crontab
app.conf.beat_schedule = {
'send-report-daily': {
'task': 'app.tasks.send_report',
'schedule': crontab(hour=9, minute=0),
},
}
エラーハンドリング
- リトライロジック実装
- デッドレター処理
- ロギング構成
- モニタリング設定(Flower)
詳細については、ドキュメントを参照してください。
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