add docker containerization
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40
Dockerfile
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40
Dockerfile
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# Use Python 3.11 slim image
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FROM python:3.11-slim
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# Set working directory
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WORKDIR /app
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# Set environment variables
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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FLASK_APP=app.py \
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FLASK_ENV=production
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# Install system dependencies
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RUN apt-get update \
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&& apt-get install -y --no-install-recommends \
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gcc \
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python3-dev \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements first to leverage Docker cache
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy the rest of the application
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COPY . .
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# Create volume for persistent database storage
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VOLUME ["/app/instance"]
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# Run as non-root user
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RUN useradd -m myuser
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RUN chown -R myuser:myuser /app
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USER myuser
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# Expose port
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EXPOSE 5000
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# Command to run the application
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CMD ["gunicorn", "-c", "gunicorn.conf.py", "app:app"]
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16
docker-compose.yml
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16
docker-compose.yml
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services:
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web:
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build: .
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ports:
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- "5000:5000"
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volumes:
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- ./instance:/app/instance
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env_file:
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- .env
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:5000/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 10s
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38
gunicorn.conf.py
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38
gunicorn.conf.py
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# Gunicorn configuration file
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import multiprocessing
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# Server socket
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bind = "0.0.0.0:5000"
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backlog = 2048
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# Worker processes
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workers = multiprocessing.cpu_count() * 2 + 1
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worker_class = "sync"
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worker_connections = 1000
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timeout = 30
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keepalive = 2
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# Logging
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accesslog = "-"
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errorlog = "-"
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loglevel = "info"
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# Process naming
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proc_name = "butter-garden"
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# Server mechanics
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daemon = False
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pidfile = None
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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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# SSL
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keyfile = None
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certfile = None
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# Security
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limit_request_line = 4096
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limit_request_fields = 100
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limit_request_field_size = 8190
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