f21e41afc3
- Add Dockerfile, docker-compose.yml, .dockerignore for containerised deployment - Add deploy/ scripts (deploy.sh, nginx/apache configs, password generator) - Replace MSAL/Azure AD auth with local username/password authentication - Add login.html template - Simplify app.py, middleware, and auth routes for production use - Update gunicorn_config.py and wsgi.py for Docker/production - Update templates to work with new auth and URL prefix handling Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
63 lines
2.2 KiB
Python
63 lines
2.2 KiB
Python
"""Application configuration."""
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import os
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from dotenv import load_dotenv
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# Load environment variables
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load_dotenv()
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class Config:
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"""Base configuration."""
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# Flask
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SECRET_KEY = os.environ.get('SECRET_KEY', 'dev-secret-key-change-in-production')
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# Authentication (simple username:password_hash pairs, comma-separated)
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AUTH_USERS = os.environ.get('AUTH_USERS', '')
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# Box
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BOX_CONFIG_PATH = os.environ.get('BOX_CONFIG_PATH', 'config/box_config.json')
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BOX_REPORT_FOLDER_ID = os.environ.get('BOX_REPORT_FOLDER_ID', '133295752718')
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# Server
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HOST = os.environ.get('HOST', '0.0.0.0')
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PORT = int(os.environ.get('PORT', 5000))
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# Database
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# Use absolute path for SQLite database
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BASE_DIR = os.path.abspath(os.path.dirname(__file__))
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SQLALCHEMY_DATABASE_URI = os.environ.get(
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'DATABASE_URI',
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f'sqlite:///{os.path.join(BASE_DIR, "database", "qc_platform.db")}'
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)
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SQLALCHEMY_TRACK_MODIFICATIONS = False
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SQLALCHEMY_ECHO = os.environ.get('FLASK_ENV') == 'development'
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# Session Configuration
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SESSION_COOKIE_SECURE = os.environ.get('FLASK_ENV') == 'production'
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SESSION_COOKIE_HTTPONLY = True
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SESSION_COOKIE_SAMESITE = 'Lax'
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SESSION_COOKIE_PATH = os.environ.get('SESSION_COOKIE_PATH', '/')
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# File Upload Configuration
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MAX_CONTENT_LENGTH = 500 * 1024 * 1024 # 500 MB max file size
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UPLOAD_FOLDER = 'uploads'
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STORAGE_FOLDER = 'storage'
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# Module-specific paths
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HM_QC_UPLOAD_PATH = 'uploads/hm_qc'
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VIDEO_QC_UPLOAD_PATH = 'uploads/video_qc'
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VIDEO_MASTER_UPLOAD_PATH = 'uploads/video_master'
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HM_QC_STORAGE_PATH = 'storage/reports/hm_qc'
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CONSOLIDATED_STORAGE_PATH = 'storage/reports/consolidated'
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# LLM Configuration
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OPENAI_API_KEY = os.environ.get('OPENAI_API_KEY')
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ANTHROPIC_API_KEY = os.environ.get('ANTHROPIC_API_KEY')
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AZURE_OPENAI_API_KEY = os.environ.get('AZURE_OPENAI_API_KEY')
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AZURE_OPENAI_ENDPOINT = os.environ.get('AZURE_OPENAI_ENDPOINT')
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GOOGLE_API_KEY = os.environ.get('GOOGLE_API_KEY')
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# Application
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MAX_REPORTS_PER_JOB = 100 # Limit reports fetched per job number
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CACHE_TIMEOUT = 300 # 5 minutes cache for Box searches
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