name: FastDeploy Linux GPU Build Task
description: "FastDeploy packages build and upload"

on:
  workflow_call:
    inputs:
      DOCKER_IMAGE:
        description: "Build Images"
        required: true
        type: string
        default: "iregistry.baidu-int.com/new_rl_infra/base-images:paddlecloud-ubuntu24.04-gcc13.3-cuda12.9-cudnn9.9-bccl1.4.1.4-nccl2.26.5-openmpi4.1.5-FleetY13.0.0-v2.4.0-rc1"
      FASTDEPLOY_ARCHIVE_URL:
        description: "URL of the compressed FastDeploy code archive."
        required: true
        type: string
      COMPILE_ARCH:
        description: "Build GPU Archs"
        required: true
        type: string
        default: "80,90"
      WITH_NIGHTLY_BUILD:
        description: "Enable nightly build mode (e.g. add date suffix to version)"
        required: false
        type: string
        default: "OFF"
      FD_VERSION:
        description: "FastDeploy Package Version"
        required: false
        type: string
        default: ""
      PADDLEVERSION:
        description: "Paddle Version Build Use"
        required: false
        type: string
        default: ""
      PADDLE_WHL_URL:
        description: "Paddle Wheel Package URL"
        required: false
        type: string
        default: ""
      UPLOAD:
        description: "Upload Package"
        required: false
        type: string
        default: "ON"
      CACHE_DIR:
        description: "Cache Dir Use"
        required: false
        type: string
        default: ""
    outputs:
      wheel_path_rl:
        description: "Output path of the generated wheel"
        value: ${{ jobs.fd-build-rl.outputs.wheel_path_rl }}
jobs:
  fd-build-rl:
    runs-on: [self-hosted, GPU-Build-RL]
    timeout-minutes: 360
    outputs:
      wheel_path_rl: ${{ steps.set_output.outputs.wheel_path_rl }}
    steps:
      - name: Code Prepare
        shell: bash
        env:
          docker_image: ${{ inputs.DOCKER_IMAGE }}
          fd_archive_url: ${{ inputs.FASTDEPLOY_ARCHIVE_URL }}
          IS_PR: ${{ github.event_name == 'pull_request' }}
        run: |
            set -x
            REPO="https://github.com/${{ github.repository }}.git"
            FULL_REPO="${{ github.repository }}"
            REPO_NAME="${FULL_REPO##*/}"
            BASE_BRANCH="${{ github.base_ref }}"

            # Clean the repository directory before starting
            docker run --rm --net=host -v $(pwd):/workspace -w /workspace \
            -e "REPO_NAME=${REPO_NAME}" \
            ${docker_image} /bin/bash -c '
              CLEAN_RETRIES=3
              CLEAN_COUNT=0

              while [ $CLEAN_COUNT -lt $CLEAN_RETRIES ]; do
                echo "Attempt $((CLEAN_COUNT+1)) to remove ${REPO_NAME}* ..."
                rm -rf "${REPO_NAME}"* || true
                sleep 2

                # Check if anything matching ${REPO_NAME}* still exists
                if ! ls "${REPO_NAME}"* >/dev/null 2>&1; then
                  echo "All ${REPO_NAME}* removed successfully"
                  break
                fi

                CLEAN_COUNT=$((CLEAN_COUNT + 1))
              done

              if ls "${REPO_NAME}"* >/dev/null 2>&1; then
                echo "ERROR: Failed to clean ${REPO_NAME}* after multiple attempts"
                ls -ld "${REPO_NAME}"*
                exit 1
              fi
            '

            wget -q --no-proxy ${fd_archive_url}
            tar -xf FastDeploy.tar.gz
            rm -rf FastDeploy.tar.gz
            cd FastDeploy
            git config --global user.name "FastDeployCI"
            git config --global user.email "fastdeploy_ci@example.com"
            git log -n 3 --oneline
      - name: FastDeploy Build
        shell: bash
        env:
          docker_image: ${{ inputs.DOCKER_IMAGE }}
          compile_arch: ${{ inputs.COMPILE_ARCH }}
          fd_version: ${{ inputs.FD_VERSION }}
          CACHE_DIR: ${{ inputs.CACHE_DIR }}
          BRANCH_REF: ${{ github.ref_name }}
          PADDLEVERSION: ${{ inputs.PADDLEVERSION }}
          PADDLE_WHL_URL: ${{ inputs.PADDLE_WHL_URL }}
          WITH_NIGHTLY_BUILD: ${{ inputs.WITH_NIGHTLY_BUILD }}
        run: |
            set -x
            runner_name="${{ runner.name }}"
            CARD_ID=$(echo "${runner_name}" | awk -F'-' '{print $NF}')
            gpu_id=$(echo "$CARD_ID" | fold -w1 | paste -sd,)

            IFS='/' read -ra parts <<< "${GITHUB_WORKSPACE}"
            len=${#parts[@]}
            CCACHE_DEFAULT_DIR="/$(IFS=/; echo "${parts[*]:1:$((len-5))}")"
            echo "$CCACHE_DEFAULT_DIR"

            CACHE_DIR="${CACHE_DIR:-$CCACHE_DEFAULT_DIR}"
            echo "CACHE_DIR is set to ${CACHE_DIR}"
            if [ ! -f "${CACHE_DIR}/gitconfig" ]; then
              touch "${CACHE_DIR}/gitconfig"
            fi
            PARENT_DIR=$(dirname "$WORKSPACE")
            echo "PARENT_DIR:$PARENT_DIR"
            docker run --rm --net=host \
            --cap-add=SYS_PTRACE --privileged --shm-size=64G \
            -v $(pwd):/workspace -w /workspace \
            -v "${CACHE_DIR}/gitconfig:/etc/gitconfig:ro" \
            -v "${CACHE_DIR}/.cache_rl:/root/.cache" \
            -v "${CACHE_DIR}/.ccache_rl:/root/.ccache" \
            -v "${CACHE_DIR}/ConfigDir:/root/.config" \
            -e TZ="Asia/Shanghai" \
            -e "COMPILE_ARCH=${compile_arch}" \
            -e "FD_VERSION=${fd_version}" \
            -e "WITH_NIGHTLY_BUILD=${WITH_NIGHTLY_BUILD}" \
            -e "PADDLEVERSION=${PADDLEVERSION}" \
            -e "PADDLE_WHL_URL=${PADDLE_WHL_URL}" \
            -e "BRANCH_REF=${BRANCH_REF}" \
            -e "CCACHE_MAXSIZE=50G" \
            --gpus "\"device=${gpu_id}\"" ${docker_image} /bin/bash -c '
            if [[ -n "${FD_VERSION}" ]]; then
              export FASTDEPLOY_VERSION=${FD_VERSION}
              echo "Custom FastDeploy version: ${FASTDEPLOY_VERSION}"
            fi

            git config --global --add safe.directory /workspace/FastDeploy
            chown -R $(whoami) /workspace/FastDeploy
            cd FastDeploy

            python -m pip uninstall paddlepaddle-gpu -y || true
            wget -q --no-proxy https://paddle-qa.bj.bcebos.com/paddle-pipeline/Develop-TagBuild-Training-Linux-Gpu-Cuda12.9-Cudnn9.9-Trt10.5-Mkl-Avx-Gcc11-SelfBuiltPypiUse/latest/paddlepaddle_gpu-0.0.0-cp310-cp310-linux_x86_64.whl
            python -m pip install paddlepaddle_gpu-0.0.0-cp310-cp310-linux_x86_64.whl

            pip config set global.index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple

            python -m pip install --upgrade pip
            python -m pip install -r requirements.txt
            python -m pip install wheel
            # 编译RDMA
            export FD_ENABLE_RDMA_COMPILE=1
            bash build.sh 1 python false [${COMPILE_ARCH}]
            ls ./dist/*.whl
            '
      - name: Package Upload
        id: set_output
        env:
          compile_arch: ${{ inputs.COMPILE_ARCH }}
        run: |
            set -x
            commit_id=${{ github.sha }}
            branch_name=${{ github.ref_name }}
            target_path=paddle-github-action/BRANCH/FastDeploy_RL/${branch_name}/${commit_id}/SM${compile_arch//,/_}

            wget -q --no-proxy --no-check-certificate https://paddle-qa.bj.bcebos.com/CodeSync/develop/PaddlePaddle/PaddleTest/tools/bos_tools.py
            push_file=$(realpath bos_tools.py)
            python --version
            python -m pip install bce-python-sdk==0.9.29
            cd FastDeploy/dist/
            matches=($(ls fastdeploy*.whl))
            if [ ${#matches[@]} -ne 1 ]; then
              echo "Error: Found ${#matches[@]} matching files, expected exactly 1"
              exit 1
            fi
            fd_wheel_name=${matches[0]}
            echo "Found: $fd_wheel_name"
            tree -L 3
            python ${push_file} fastdeploy*.whl ${target_path}
            target_path_stripped="${target_path#paddle-github-action/}"
            WHEEL_PATH=https://paddle-github-action.bj.bcebos.com/${target_path_stripped}/${fd_wheel_name}
            echo "wheel_path_rl=${WHEEL_PATH}" >> $GITHUB_OUTPUT