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# Dockerfile for uni-api deployment on Hugging Face Spaces
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# Read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
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# you will also find guides on how best to write your Dockerfile
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# 1. Base Image
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FROM python:3.9
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# 2. Create a non-root user for security
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RUN useradd -m -u 1000 user
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USER user
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# Add user's local bin to PATH (for packages installed with pip install --user)
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ENV PATH="/home/user/.local/bin:$PATH"
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# 3. Set the working directory
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WORKDIR /app
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# 4. Clone the application code from GitHub, including submodules
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# IMPORTANT: Replace 'main' with the correct branch name if it's different!
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# Use --recurse-submodules to fetch the 'core' submodule content
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RUN git clone --branch main --recurse-submodules https://github.com/yym68686/uni-api.git .
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# 5. Install Python dependencies
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# Assumes requirements.txt is present in the cloned repository root
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RUN pip install --no-cache-dir --upgrade -r requirements.txt
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# 6. Copy necessary files from the build context (local or HF repo root)
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# Copy the API template and the entrypoint script into the image
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COPY --chown=user ./api.template.yaml /app/api.template.yaml
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COPY --chown=user ./entrypoint.sh /app/entrypoint.sh
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# 7. Make the entrypoint script executable
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RUN chmod +x /app/entrypoint.sh
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# 8. Set the entrypoint script to run on container start
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# This script will generate the final api.yaml using secrets/environment variables
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ENTRYPOINT ["/app/entrypoint.sh"]
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# 9. Define the default command to run the application
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# This command will be executed by the entrypoint script (passed as "$@")
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
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