71c8102de6
Two changes combined: 1. historical-query-slow-connection: Migrate all historical query pages to read_sql_df_slow with semaphore concurrency control (max 3), raise DB slow timeout to 300s, gunicorn timeout to 360s, and unify frontend timeouts to 360s for all historical pages. 2. hold-resource-history-dataset-cache: Convert hold-history and resource-history from multi-query to single-query + dataset cache pattern (L1 ProcessLevelCache + L2 Redis parquet/base64, TTL=900s). Replace old GET endpoints with POST /query + GET /view two-phase API. Frontend auto-retries on 410 cache_expired. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
53 lines
2.0 KiB
Python
53 lines
2.0 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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# Keep this above slow-query timeout paths (e.g. read_sql_df_slow 300s) and DB pool timeout.
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timeout = int(os.getenv("GUNICORN_TIMEOUT", "360"))
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graceful_timeout = int(os.getenv("GUNICORN_GRACEFUL_TIMEOUT", "120"))
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keepalive = 5 # Keep-alive connections timeout
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# Worker lifecycle management - prevent state accumulation.
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# Make these configurable so high-load test environments can raise the ceiling.
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max_requests = int(os.getenv("GUNICORN_MAX_REQUESTS", "5000"))
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max_requests_jitter = int(os.getenv("GUNICORN_MAX_REQUESTS_JITTER", "500"))
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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 background threads and database connections when worker exits."""
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# Stop background sync threads first
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try:
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from mes_dashboard.services.realtime_equipment_cache import (
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stop_equipment_status_sync_worker
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)
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stop_equipment_status_sync_worker()
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except Exception as e:
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server.log.warning(f"Error stopping equipment sync worker: {e}")
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try:
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from mes_dashboard.core.cache_updater import stop_cache_updater
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stop_cache_updater()
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except Exception as e:
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server.log.warning(f"Error stopping cache updater: {e}")
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try:
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from mes_dashboard.core.redis_client import close_redis
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close_redis()
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except Exception as e:
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server.log.warning(f"Error closing redis client: {e}")
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# Then dispose database connections
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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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