agripredict-analysis / Dockerfile
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Update AgriPredict Analysis Service
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# Dockerfile for AgriPredict Analysis Service
FROM python:3.12-slim
# Set working directory
WORKDIR /app
# Install system dependencies with security updates
RUN apt-get update && apt-get upgrade -y && \
apt-get install -y \
gcc \
g++ \
curl \
libgomp1 \
&& apt-get clean && \
rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
# Create non-root user with specific UID/GID for security
RUN groupadd -r appuser && useradd --no-log-init -r -g appuser -u 1001 appuser
# Copy requirements first for better caching
COPY requirements.txt .
# Install Python dependencies (install globally, not with --user)
RUN pip install --no-cache-dir --upgrade pip setuptools wheel && \
pip install --no-cache-dir -r requirements.txt
# Create app-specific temp directory before switching user
RUN mkdir -p /app/tmp && chown appuser:appuser /app/tmp
# Copy application code
COPY --chown=appuser:appuser . .
# Switch to non-root user
USER appuser
# Expose port
EXPOSE 7860
# Health check with proper error handling
HEALTHCHECK --interval=30s --timeout=10s --start-period=30s --retries=3 \
CMD python -c "import requests; r=requests.get('http://localhost:7860/health', timeout=5); exit(0 if r.status_code == 200 else 1)" || exit 1
# Set Python to run in unbuffered mode for better logging
ENV PYTHONUNBUFFERED=1
ENV PYTHONPATH=/app
# Start the application
CMD ["python", "main.py"]