# Ray Worker for AMD Strix Halo (gfx1151 / RDNA 3.5)
# Pre-bakes all dependencies for fast startup
#
# Build from llm-workflows root:
#   docker build -t git.daviestechlabs.io/daviestechlabs/ray-worker-strixhalo:latest -f dockerfiles/Dockerfile.ray-worker-strixhalo .
#
# Multi-stage build to ensure Python 3.11.11 matches Ray head node

# Stage 1: Extract ROCm 7.1 libraries from vendor image
FROM docker.io/rocm/pytorch:rocm7.1_ubuntu24.04_py3.12_pytorch_release_2.9.1 AS rocm-libs

# Stage 2: Build on Ray base with Python 3.11
FROM rayproject/ray:2.53.0-py311 AS base

# Copy ROCm stack from vendor image
COPY --from=rocm-libs /opt/rocm /opt/rocm

# Set up ROCm environment
ENV ROCM_HOME=/opt/rocm
ENV PATH="${ROCM_HOME}/bin:${ROCM_HOME}/llvm/bin:${PATH}"
ENV LD_LIBRARY_PATH="${ROCM_HOME}/lib:${ROCM_HOME}/lib64:${LD_LIBRARY_PATH}"
ENV HSA_PATH="${ROCM_HOME}/hsa"
ENV HIP_PATH="${ROCM_HOME}/hip"

# ROCm environment for AMD Strix Halo (gfx1151 / RDNA 3.5)
ENV HIP_VISIBLE_DEVICES=0
ENV HSA_ENABLE_SDMA=0
ENV PYTORCH_HIP_ALLOC_CONF=expandable_segments:True,max_split_size_mb:512
ENV HSA_OVERRIDE_GFX_VERSION=11.0.0
ENV ROCM_TARGET_LST=gfx1151,gfx1100
ENV PYTHONPATH=/app

WORKDIR /app

# Install ROCm system dependencies
USER root
RUN apt-get update && apt-get install -y --no-install-recommends \
    libelf1 \
    libnuma1 \
    libdrm2 \
    libdrm-amdgpu1 \
    kmod \
    && rm -rf /var/lib/apt/lists/*
USER ray

# WORKAROUND: ROCm/ROCm#5853 - Standard PyTorch ROCm wheels cause segfault
# in libhsa-runtime64.so during VRAM allocation on gfx1151 (Strix Halo).
# TheRock gfx110X-all packages provide Python 3.11 compatible wheels.
RUN pip install --no-cache-dir \
    --index-url https://rocm.nightlies.amd.com/v2/gfx110X-all/ \
    torch torchaudio torchvision

# Install Ray Serve and AI inference dependencies
RUN pip install --no-cache-dir \
    vllm \
    transformers \
    accelerate \
    sentence-transformers \
    httpx \
    numpy \
    scipy

# Pre-download common models for faster cold starts
RUN python3 -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('BAAI/bge-large-en-v1.5')" || true

# Copy Ray Serve Python code
COPY ray-serve/ /app/ray_serve/

# Ray worker entrypoint
COPY --chmod=755 dockerfiles/ray-entrypoint.sh /app/ray-entrypoint.sh

ENTRYPOINT ["/app/ray-entrypoint.sh"]