AutoML_MLOps_PipeLine / Dockerfile
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Docker Stages Implemented
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# Multi-stage build for minimal image size
FROM python:3.11-slim as builder
WORKDIR /app
# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
gcc g++ \
&& rm -rf /var/lib/apt/lists/*
# Copy and install Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir --user -r requirements.txt
# Runtime stage
FROM python:3.11-slim
WORKDIR /app
# Copy installed packages from builder
COPY --from=builder /root/.local /root/.local
# Copy application code
COPY src/ ./src/
COPY app/ ./app/
COPY config/ ./config/
COPY templates/ ./templates/
COPY .env .env
# Add .local/bin to PATH
ENV PATH=/root/.local/bin:$PATH
# Expose FastAPI port
EXPOSE 8000
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')"
# Run FastAPI
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]