# # Dockerfile for QualiVec Streamlit Demo

# # 1. Base Image
# FROM python:3.12-slim

# # 2. Set the working directory
# WORKDIR /app

# # 3. Install system dependencies
# RUN apt-get update && apt-get install -y \
#     build-essential \
#     curl \
#     && rm -rf /var/lib/apt/lists/*

# # 4. Install uv - the fast Python package manager
# RUN pip install --no-cache-dir uv

# # 5. Copy dependency definition files and README (required for package build)
# COPY pyproject.toml uv.lock README.md ./

# # 6. Copy source code (needed for package installation)
# COPY src/ ./src/

# # 7. Install Python dependencies using uv
# # 'uv pip install .' reads pyproject.toml and installs the project dependencies
# RUN uv pip install --system --no-cache-dir .

# # 8. Copy the rest of the application source code
# # Make sure you have a .dockerignore file to exclude .venv
# COPY . .

# # 9. Expose the port Streamlit runs on
# EXPOSE 8501

# # 10. Add a health check to verify the app is running
# HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health

# # 11. Define the entry point to use the run_demo.py script via uv
# # ENTRYPOINT ["uv", "run", "app/run_demo.py"]
# ENTRYPOINT ["python", "app/run_demo.py"]



FROM python:3.12.3-slim

WORKDIR /app

RUN apt-get update && apt-get install -y \
    build-essential \
    curl \
    && rm -rf /var/lib/apt/lists/*

# COPY pyproject.toml ./
# COPY README.md ./
# COPY uv.lock ./
COPY . .

RUN pip install -e . --break-system-packages

WORKDIR /app/app

CMD ["python3", "run_demo.py"]