3234c7088a
- 新增 Redis 表級快取機制，減少 Oracle 查詢負載 - 實作 CacheUpdater 背景任務，每 10 分鐘檢查 SYS_DATE 並更新快取 - 所有 WIP API 端點改為 cache-first + Oracle fallback 架構 - 新增 /health 端點顯示資料庫、Redis、快取狀態 - 前端 Portal 新增即時健康狀態指示器 - SQLAlchemy 連線設置 call_timeout=55s 防止 Worker 卡死 - Gunicorn 加入 max_requests=1000 確保 Worker 定期重啟 - 完整測試覆蓋：67 項單元/整合/E2E 測試 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
29 lines
1.1 KiB
Python
29 lines
1.1 KiB
Python
import os
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bind = os.getenv("GUNICORN_BIND", "0.0.0.0:8080")
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workers = int(os.getenv("GUNICORN_WORKERS", "2")) # 2 workers for redundancy
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threads = int(os.getenv("GUNICORN_THREADS", "4"))
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worker_class = "gthread"
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# Timeout settings - critical for dashboard stability
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timeout = 65 # Worker timeout: must be > call_timeout (55s)
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graceful_timeout = 10 # Graceful shutdown timeout (reduced for faster restart)
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keepalive = 5 # Keep-alive connections timeout
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# Worker lifecycle management - prevent state accumulation
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max_requests = 1000 # Restart worker after N requests
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max_requests_jitter = 100 # Random jitter to prevent simultaneous restarts
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# ============================================================
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# Worker Lifecycle Hooks
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# ============================================================
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def worker_exit(server, worker):
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"""Clean up database connections when worker exits."""
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try:
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from mes_dashboard.core.database import dispose_engine
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dispose_engine()
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except Exception as e:
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server.log.warning(f"Error disposing database engine: {e}")
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