Classifier_Questions_StackOverflow/Dockerfile at main · ThomasMeb/Classifier_Questions_StackOverflow · GitHub

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# IntelliTag - Stack Overflow Tag Suggestion System
# Multi-stage Dockerfile for production deployment

# ============================================
# Stage 1: Builder
# ============================================
FROM python:3.11-slim as builder

WORKDIR /app

# Install build dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    && rm -rf /var/lib/apt/lists/*

# Create virtual environment
RUN python -m venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"

# Install Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r requirements.txt

# Download NLTK data
RUN python -c "import nltk; \
    nltk.download('punkt', download_dir='/opt/venv/nltk_data'); \
    nltk.download('stopwords', download_dir='/opt/venv/nltk_data'); \
    nltk.download('wordnet', download_dir='/opt/venv/nltk_data'); \
    nltk.download('averaged_perceptron_tagger', download_dir='/opt/venv/nltk_data')"

# ============================================
# Stage 2: Production
# ============================================
FROM python:3.11-slim as production

WORKDIR /app

# Create non-root user for security
RUN groupadd -r intellitag && useradd -r -g intellitag intellitag

# Copy virtual environment from builder
COPY --from=builder /opt/venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"
ENV NLTK_DATA="/opt/venv/nltk_data"

# Copy application code
COPY src/ ./src/
COPY setup.py pyproject.toml ./

# Install the package
RUN pip install --no-cache-dir -e .

# Create directories for data and models
RUN mkdir -p data/raw data/processed models && \
    chown -R intellitag:intellitag /app

# Switch to non-root user
USER intellitag

# Environment variables
ENV APP_ENV=production \
    APP_NAME=intellitag \
    API_HOST=0.0.0.0 \
    API_PORT=8000 \
    PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1

# Expose API port
EXPOSE 8000

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
    CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')" || exit 1

# Run the API
CMD ["uvicorn", "intellitag.api.app:app", "--host", "0.0.0.0", "--port", "8000"]