FREDML / Dockerfile
Edwin Salguero
Enterprise: Transform to production-grade architecture with FastAPI, Docker, K8s, monitoring, and comprehensive tooling
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# Production Dockerfile for FRED ML
FROM python:3.9-slim
# Set environment variables
ENV PYTHONUNBUFFERED=1
ENV PYTHONDONTWRITEBYTECODE=1
ENV PIP_NO_CACHE_DIR=1
ENV PIP_DISABLE_PIP_VERSION_CHECK=1
# Set work directory
WORKDIR /app
# Install system dependencies
RUN apt-get update \
&& apt-get install -y --no-install-recommends \
build-essential \
curl \
git \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements first for better caching
COPY requirements.txt .
# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt
# Copy application code
COPY . .
# Create non-root user
RUN useradd --create-home --shell /bin/bash app \
&& chown -R app:app /app
USER app
# Health check
HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
CMD python -c "import requests; requests.get('http://localhost:8000/health')" || exit 1
# Expose port
EXPOSE 8000
# Run the application
CMD ["python", "-m", "src.main"]