# The vLLM Dockerfile is used to construct vLLM image that can be directly used
# to run the OpenAI compatible server.

FROM ubuntu:22.04 AS dev

RUN apt-get update -y && \
    apt-get install -y python3-pip git && \
    apt-get install -y ffmpeg libsm6 libxext6 libgl1 
WORKDIR /workspace

# copy requirements
COPY requirements-build.txt /workspace/vllm/
COPY requirements-common.txt /workspace/vllm/
COPY requirements-openvino.txt /workspace/vllm/

COPY vllm/ /workspace/vllm/vllm
COPY csrc/core /workspace/vllm/csrc/core
COPY cmake/utils.cmake /workspace/vllm/cmake/
COPY CMakeLists.txt /workspace/vllm/
COPY setup.py /workspace/vllm/

# install build requirements
RUN PIP_EXTRA_INDEX_URL="https://download.pytorch.org/whl/cpu" python3 -m pip install -r /workspace/vllm/requirements-build.txt
# build vLLM with OpenVINO backend
RUN PIP_EXTRA_INDEX_URL="https://download.pytorch.org/whl/cpu" VLLM_TARGET_DEVICE="openvino" python3 -m pip install /workspace/vllm/

COPY examples/ /workspace/vllm/examples
COPY benchmarks/ /workspace/vllm/benchmarks

CMD ["/bin/bash"]