| # QModel 6 - Islamic RAG API | |
| # ============================= | |
| # Dockerfile for QModel API | |
| # Supports both Ollama and HuggingFace backends via .env configuration | |
| # | |
| # Build: docker build -t qmodel . | |
| # Run: docker run -p 8000:8000 --env-file .env qmodel | |
| FROM python:3.11-slim | |
| # Metadata | |
| LABEL maintainer="QModel Team" | |
| LABEL description="QModel v6 - Quran & Hadith RAG API" | |
| LABEL version="4.1" | |
| # Environment variables | |
| ENV PYTHONDONTWRITEBYTECODE=1 \ | |
| PYTHONUNBUFFERED=1 \ | |
| PIP_NO_CACHE_DIR=1 | |
| # Set working directory | |
| WORKDIR /app | |
| # Install system dependencies | |
| # - build-essential: For compiling Python packages | |
| # - libopenblas-dev: For numerical operations (FAISS, numpy) | |
| # - libomp-dev: For OpenMP (FAISS parallelization) | |
| RUN apt-get update && apt-get install -y --no-install-recommends \ | |
| build-essential \ | |
| libopenblas-dev \ | |
| libomp-dev \ | |
| curl \ | |
| && rm -rf /var/lib/apt/lists/* | |
| # Copy requirements and install Python dependencies | |
| COPY requirements.txt . | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| # Copy application code | |
| COPY . . | |
| # Expose port for API | |
| EXPOSE 8000 | |
| # Health check | |
| HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \ | |
| CMD curl -f http://localhost:8000/health || exit 1 | |
| # Start application | |
| # Configure via .env: LLM_BACKEND=ollama or LLM_BACKEND=hf | |
| CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"] | |