Dockerfile

# ============================================================
# 🍽️ Trainera Food Recognition API
# Production-Ready Multilingual AI Food Recognition
# ============================================================
FROM python:3.11-slim

# Metadata
LABEL maintainer="Trainera Team"
LABEL description="AI Food Recognition API with OpenAI translations (101+ food categories)"
LABEL version="2.0.0"

# Create non-root user for security (HF Spaces requirement)
RUN useradd -m -u 1000 user

# Set working directory
WORKDIR /app

# Install system dependencies for ML and image processing
RUN apt-get update && apt-get install -y --no-install-recommends \
    gcc \
    g++ \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgomp1 \
    libgl1-mesa-dev \
    libglib2.0-dev \
    curl \
    && rm -rf /var/lib/apt/lists/* \
    && apt-get clean

# Copy requirements first (Docker layer caching optimization)
COPY --chown=user:user requirements.txt .

# Install Python dependencies
# Step 1: Install NumPy 1.x first (transformers compatibility)
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir "numpy>=1.24.0,<2.0.0"

# Step 2: Install remaining dependencies
RUN pip install --no-cache-dir -r requirements.txt

# Copy application code
COPY --chown=user:user app.py .

# Create cache directories with correct permissions
RUN mkdir -p \
    /home/user/.cache \
    /tmp/transformers \
    /tmp/huggingface \
    /tmp/torch \
    && chown -R user:user /home/user/.cache /tmp/transformers /tmp/huggingface /tmp/torch

# Switch to non-root user (security best practice)
USER user

# Environment Variables
# ============================================================

# Python configuration
ENV PYTHONUNBUFFERED=1
ENV PYTHONDONTWRITEBYTECODE=1

# Port configuration (7860 = HF Spaces standard)
ENV PORT=7860

# User home
ENV HOME=/home/user

# Hugging Face cache directories
ENV HF_HOME=/tmp/huggingface
ENV TRANSFORMERS_CACHE=/tmp/transformers
ENV XDG_CACHE_HOME=/tmp
ENV TORCH_HOME=/tmp/torch
ENV HF_HUB_DISABLE_TELEMETRY=1
ENV HF_HUB_ENABLE_HF_TRANSFER=0

# OpenAI API Key (set via HF Spaces secrets or docker run -e)
ENV OPENAI_API_KEY=${OPENAI_API_KEY:-}

# USDA API Keys (optional - defaults to DEMO_KEY)
ENV USDA_API_KEY=${USDA_API_KEY:-DEMO_KEY}

# Performance optimizations
ENV TOKENIZERS_PARALLELISM=false
ENV OMP_NUM_THREADS=2
ENV MKL_NUM_THREADS=2

# Expose port
EXPOSE 7860

# Health check (monitors API health every 30s)
HEALTHCHECK --interval=30s --timeout=10s --start-period=90s --retries=3 \
    CMD curl -f http://localhost:7860/health || exit 1

# Run the application
CMD ["python", "app.py"]