# syntax=docker/dockerfile:1
# LinkedIn Post Creation System - Docker Image
FROM python:3.11-slim

# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV PYTHONPATH=/app

# Set work directory
WORKDIR /app

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

# Copy requirements first for better caching
COPY requirements.txt .

# Install Python dependencies (CPU-only torch to avoid downloading 2GB CUDA binaries)
RUN --mount=type=cache,target=/root/.cache/pip \
    pip install --extra-index-url https://download.pytorch.org/whl/cpu -r requirements.txt

# Copy application code
COPY . .

# Create non-root user for security
RUN useradd --create-home --shell /bin/bash appuser && \
    chown -R appuser:appuser /app
USER appuser

# Expose port (default 8001, can be overridden by PORT env var)
EXPOSE 8001

# Health check (uses PORT env var with 8001 fallback)
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
    CMD python -c "import os, httpx; port = os.getenv('PORT', '8001'); httpx.get(f'http://localhost:{port}/login', timeout=5)" || exit 1

# Run the application (uses PORT env var with 8001 fallback)
CMD sh -c "python -m uvicorn src.web.app:app --host 0.0.0.0 --port ${PORT:-8001}"