# Dockerfile for uni-api deployment on Hugging Face Spaces

# Read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
# you will also find guides on how best to write your Dockerfile

# 1. Base Image
FROM python:3.9

# 2. Create a non-root user for security
RUN useradd -m -u 1000 user
USER user
# Add user's local bin to PATH (for packages installed with pip install --user)
ENV PATH="/home/user/.local/bin:$PATH"

# 3. Set the working directory
WORKDIR /app

# 4. Clone the application code from GitHub, including submodules
# IMPORTANT: Replace 'main' with the correct branch name if it's different!
# Use --recurse-submodules to fetch the 'core' submodule content
RUN git clone --branch main --recurse-submodules https://github.com/yym68686/uni-api.git .

# 5. Install Python dependencies
# Assumes requirements.txt is present in the cloned repository root
RUN pip install --no-cache-dir --upgrade -r requirements.txt

# 6. Copy necessary files from the build context (local or HF repo root)
# Copy the API template and the entrypoint script into the image
COPY --chown=user ./api.template.yaml /app/api.template.yaml
COPY --chown=user ./entrypoint.sh /app/entrypoint.sh

# 7. Make the entrypoint script executable
RUN chmod +x /app/entrypoint.sh

# 8. Set the entrypoint script to run on container start
# This script will generate the final api.yaml using secrets/environment variables
ENTRYPOINT ["/app/entrypoint.sh"]

# 9. Define the default command to run the application
# This command will be executed by the entrypoint script (passed as "$@")
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]