Porsche Chen
360533393f
Major Features: - ✅ Multi-tenant architecture (tenant isolation) - ✅ Employee CRUD with lifecycle management (onboarding/offboarding) - ✅ Department tree structure with email domain management - ✅ Company info management (single-record editing) - ✅ System functions CRUD (permission management) - ✅ Email account management (multi-account per employee) - ✅ Keycloak SSO integration (auth.lab.taipei) - ✅ Redis session storage (10.1.0.254:6379) - Solves Cookie 4KB limitation - Cross-system session sharing - Sliding expiration (8 hours) - Automatic token refresh Technical Stack: Backend: - FastAPI + SQLAlchemy - PostgreSQL 16 (10.1.0.20:5433) - Keycloak Admin API integration - Docker Mailserver integration (SSH) - Alembic migrations Frontend: - Next.js 14 (App Router) - NextAuth 4 with Keycloak Provider - Redis session storage (ioredis) - Tailwind CSS Infrastructure: - Redis 7 (10.1.0.254:6379) - Session + Cache - Keycloak 26.1.0 (auth.lab.taipei) - Docker Mailserver (10.1.0.254) Architecture Highlights: - Session管理由 Keycloak + Redis 統一控制 - 支援多系統 (HR/WebMail/Calendar/Drive/Office) 共享 session - Token 自動刷新,異質服務整合 - 未來可無縫遷移到雲端 Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
60 lines
1.5 KiB
Python
60 lines
1.5 KiB
Python
"""
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批次作業基礎工具
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提供 log_batch_execution 等共用函式
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"""
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import logging
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from datetime import datetime
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from typing import Optional
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logger = logging.getLogger(__name__)
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def log_batch_execution(
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batch_name: str,
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status: str,
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message: Optional[str] = None,
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started_at: Optional[datetime] = None,
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finished_at: Optional[datetime] = None,
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) -> None:
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"""
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記錄批次執行日誌到資料庫
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Args:
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batch_name: 批次名稱
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status: 執行狀態 (success/failed/warning)
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message: 執行訊息
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started_at: 開始時間 (若未提供則使用 finished_at)
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finished_at: 完成時間 (若未提供則使用現在)
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"""
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from app.db.session import get_db
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from app.models.batch_log import BatchLog
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now = datetime.utcnow()
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finished = finished_at or now
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started = started_at or finished
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duration = None
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if started and finished:
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duration = int((finished - started).total_seconds())
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try:
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db = next(get_db())
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log_entry = BatchLog(
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batch_name=batch_name,
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status=status,
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message=message,
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started_at=started,
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finished_at=finished,
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duration_seconds=duration,
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)
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db.add(log_entry)
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db.commit()
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logger.info(f"[{batch_name}] 批次執行記錄已寫入: {status}")
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except Exception as e:
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logger.error(f"[{batch_name}] 寫入批次日誌失敗: {e}")
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finally:
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try:
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db.close()
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except Exception:
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pass
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