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
40 lines
915 B
Bash
40 lines
915 B
Bash
# Flask Configuration
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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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# Security
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SECRET_KEY=your_production_secret_key_here
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# Database
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DATABASE_URL=postgresql://username:password@localhost/mold_cost_calculator
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# Email Configuration
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MAIL_SERVER=smtp.gmail.com
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MAIL_PORT=587
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MAIL_USE_TLS=True
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MAIL_USERNAME=your_production_email@gmail.com
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MAIL_PASSWORD=your_production_email_password
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MAIL_DEFAULT_SENDER=your_production_email@gmail.com
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# Admin Account
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ADMIN_USERNAME=admin
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ADMIN_EMAIL=admin@example.com
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ADMIN_PASSWORD=change_this_to_secure_password
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ADMIN_COMPANY="System Administration"
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# Logging
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LOG_LEVEL=INFO
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LOG_TO_STDOUT=False
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# Redis Configuration (for rate limiting and caching)
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REDIS_URL=redis://localhost:6379/0
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RATELIMIT_STORAGE_URL=redis://localhost:6379/0
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CACHE_REDIS_URL=redis://localhost:6379/1
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# Gunicorn Configuration
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WORKERS=4
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THREADS=2
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TIMEOUT=120
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MAX_REQUESTS=1000
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MAX_REQUESTS_JITTER=50 |