# SkillSync Backend Dockerfile for Hugging Face Spaces
FROM python:3.11-slim


# Set environment variables
ENV PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    PORT=8000 \
    HF_HOME=/app/.cache/huggingface

# Set working directory
WORKDIR /app

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

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

# Install dependencies optimized for CPU (minimizes image size)
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r requirements.txt --extra-index-url https://download.pytorch.org/whl/cpu

# Copy the rest of the application
COPY . .

# Create directory for cache and set permissions for non-root users (crucial for Hugging Face Spaces)
RUN mkdir -p /app/.cache/huggingface && chmod -R 777 /app/.cache

# Pre-download and cache the sentence-transformers model during the build phase
RUN python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('all-MiniLM-L6-v2')"

# Expose port
EXPOSE 8000

# Start FastAPI application
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]