100d1a06eb
- 后端 API（Flask + Gunicorn） - RAG 引擎（混合检索 + 云端 Reranker + 引用溯源） - 文档解析（MinerU + 多格式支持） - Docker 生产部署配置 - 排除前端项目、敏感配置、模型文件
57 lines
1.5 KiB
Python
57 lines
1.5 KiB
Python
# gunicorn.conf.py - Gunicorn生产配置
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import multiprocessing
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import os
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# 服务器绑定
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bind = "0.0.0.0:5001"
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# Worker配置
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# 单 worker 模式，适合资源有限环境
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workers = int(os.getenv("GUNICORN_WORKERS", 1))
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worker_class = "gthread" # 线程worker，可发送心跳（原 sync）
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threads = 2 # 每个worker 2个线程
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worker_connections = 1000
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max_requests = 1000 # 每个worker处理1000个请求后重启（防止内存泄漏）
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max_requests_jitter = 50
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# 超时配置
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timeout = 120 # 优化后不应超过2分钟（原 300）
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graceful_timeout = 60
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keepalive = 5
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# 日志配置
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accesslog = "-" # stdout
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errorlog = "-" # stderr
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loglevel = "info"
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access_log_format = '%(h)s %(l)s %(u)s %(t)s "%(r)s" %(s)s %(b)s "%(f)s" "%(a)s" %(D)s'
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# 进程命名
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proc_name = "rag-service"
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# 预加载应用（gthread 模式下必须关闭，否则 fork 后线程资源死锁）
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preload_app = False
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# 守护进程（Docker中不需要）
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daemon = False
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# 临时文件目录
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worker_tmp_dir = "/dev/shm" # 使用内存文件系统，提升性能
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# 钩子函数
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def on_starting(server):
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"""服务启动时"""
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print(f"[INFO] Starting Gunicorn with {workers} workers")
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def on_reload(server):
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"""重载时"""
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print("[INFO] Reloading Gunicorn")
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def worker_int(worker):
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"""Worker被中断时"""
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print(f"[INFO] Worker {worker.pid} interrupted")
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def worker_abort(worker):
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"""Worker异常退出时"""
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print(f"[ERROR] Worker {worker.pid} aborted")
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