Gan, Jimmy
6c0d5a4e63
- Flask-based mold cost calculation application - PostgreSQL database with SQLAlchemy ORM - Docker/Podman containerization - Comprehensive documentation in docs/ - Clean, organized codebase without obsolete files - Production-ready deployment configuration - Enhanced pytest configuration with coverage reporting - Master/Development branch structure
74 lines
1.6 KiB
Python
74 lines
1.6 KiB
Python
import multiprocessing
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import os
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from pathlib import Path
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# Create logs directory if it doesn't exist
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os.makedirs('logs', exist_ok=True)
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# Server socket
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bind = os.getenv('GUNICORN_BIND', '0.0.0.0:5002')
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backlog = 2048
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# Worker processes
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# Formula: (2 x number_of_cores) + 1
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workers = int(os.getenv('GUNICORN_WORKERS', 13)) # Default to 13 workers
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worker_class = 'sync'
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worker_connections = 1000
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timeout = int(os.getenv('GUNICORN_TIMEOUT', 30))
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keepalive = 2
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# Performance optimizations
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worker_tmp_dir = '/dev/shm' # Use RAM for temporary files
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limit_request_line = 4094 # Prevent large request attacks
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limit_request_fields = 100 # Limit number of request headers
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# Logging
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accesslog = 'logs/access.log'
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errorlog = 'logs/error.log'
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loglevel = os.getenv('LOG_LEVEL', 'debug')
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# Process naming
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proc_name = 'mold_cost_calculator'
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# Server mechanics
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daemon = False
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pidfile = 'gunicorn.pid'
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umask = 0
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user = None
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group = None
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tmp_upload_dir = None
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# Server hooks
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def on_starting(server):
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# Ensure instance directory exists
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os.makedirs('instance', exist_ok=True)
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def on_reload(server):
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pass
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def on_exit(server):
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pass
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# Request limits
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max_requests = 1000
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max_requests_jitter = 50
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# Worker settings
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graceful_timeout = 30
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preload_app = True
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# Environment variables
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raw_env = [
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'FLASK_APP=run.py',
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'FLASK_ENV=production',
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'FLASK_DEBUG=0'
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]
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# Security settings
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trusted_proxies = os.getenv('TRUSTED_PROXY_IPS', '127.0.0.1,::1').split(',')
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forwarded_allow_ips = ','.join(ip.strip() for ip in trusted_proxies)
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secure_scheme_headers = {
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'X-FORWARDED-PROTOCOL': 'ssl',
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'X-FORWARDED-PROTO': 'https',
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'X-FORWARDED-SSL': 'on'
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} |