#
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# This file is a part of the vllm-ascend project.
#

name: 'e2e nightly models test'

on:
  workflow_call:
    inputs:
      vllm:
        required: true
        type: string
      vllm-ascend:
        required: false
        type: string
        default: main
      runner:
        required: true
        type: string
      image:
        required: true
        type: string
      model_list:
        required: true
        type: string
      upload:
        required: false
        type: boolean
        default: false

# Bash shells do not use ~/.profile or ~/.bashrc so these shells need to be explicitly
# declared as "shell: bash -el {0}" on steps that need to be properly activated.
# It's used to activate ascend-toolkit environment variables.
defaults:
  run:
    shell: bash -el {0}

# only cancel in-progress runs of the same workflow
# and ignore the lint / 1 card / 2 cards / 4 cards test type
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}-${{ inputs.runner }}-${{inputs.model_list}}
  cancel-in-progress: true

jobs:
  e2e-nightly:
    name: ${{inputs.model_list}} accuracy test
    runs-on: ${{ inputs.runner }}
    container:
      image: "${{ inputs.image }}"
      env:
        VLLM_USE_MODELSCOPE: True
        GHA_VLLM_ASCEND_VERSION: ${{ inputs.vllm-ascend }}
    steps:
      - name: Check npu and CANN info
        run: |
          npu-smi info
          cat /usr/local/Ascend/ascend-toolkit/latest/"$(uname -i)"-linux/ascend_toolkit_install.info

      - name: Config mirrors
        run: |
          sed -i 's|ports.ubuntu.com|mirrors.tuna.tsinghua.edu.cn|g' /etc/apt/sources.list
          pip config set global.index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
          apt-get update -y
          apt install git -y
          git config --global url."https://gh-proxy.test.osinfra.cn/https://github.com/".insteadOf https://github.com/

      - name: Checkout vllm-project/vllm-ascend repo
        uses: actions/checkout@v6

      - name: Install system dependencies
        run: |
          apt-get -y install `cat packages.txt`
          apt-get -y install gcc g++ cmake libnuma-dev clang-15

          update-alternatives --install /usr/bin/clang clang /usr/bin/clang-15 20
          update-alternatives --install /usr/bin/clang++ clang++ /usr/bin/clang++-15 20

      - name: Checkout vllm-project/vllm repo
        uses: actions/checkout@v6
        with:
          repository: vllm-project/vllm
          ref: ${{ inputs.vllm }}
          path: ./vllm-empty

      - name: Install vllm-project/vllm from source
        working-directory: ./vllm-empty
        run: |
          VLLM_TARGET_DEVICE=empty pip install -e .

      - name: Install vllm-project/vllm-ascend
        env:
          PIP_EXTRA_INDEX_URL: https://mirrors.huaweicloud.com/ascend/repos/pypi
        run: |
          pip install -r requirements-dev.txt
          pip install -v -e .

      - name: Install tensorflow (for Molmo-7B-D-0924)
        if: ${{ inputs.runner == 'linux-aarch64-a2b3-1' && contains(inputs.model_list, 'Molmo-7B-D-0924') }}
        shell: bash -l {0}
        run: |
          pip install tensorflow==2.19.1 --no-cache-dir

      - name: Resolve vllm-ascend version
        run: |
          VERSION_INPUT="${{ inputs.vllm-ascend }}"
          
          if [[ "$VERSION_INPUT" == "latest" ]]; then
            TAGS=$(git ls-remote --tags --sort=-v:refname https://github.com/vllm-project/vllm-ascend "v*" | cut -f2 | sed 's|refs/tags/||')
            LATEST_TAG=$(echo "$TAGS" | head -n1)
            if [[ -z "$LATEST_TAG" ]]; then
              RESOLVED_VERSION="main"
            else
              RESOLVED_VERSION="$LATEST_TAG"
            fi
          else
            RESOLVED_VERSION="$VERSION_INPUT"
          fi
          echo "GHA_VLLM_ASCEND_VERSION=$RESOLVED_VERSION" >> $GITHUB_ENV

      - name: Checkout vllm-project/vllm-ascend repo
        uses: actions/checkout@v6
        with:
          repository: vllm-project/vllm-ascend
          path: ./vllm-ascend
          ref: ${{ env.GHA_VLLM_ASCEND_VERSION }}

      - name: Get vLLM commit hash and URL
        working-directory: ./vllm-empty
        run: |
          VLLM_COMMIT=$(git rev-parse --short=7 HEAD)
          echo "VLLM_COMMIT=$VLLM_COMMIT" >> $GITHUB_ENV

      - name: Get vLLM-Ascend commit hash and URL
        working-directory: ./vllm-ascend
        run: |
          VLLM_ASCEND_COMMIT=$(git rev-parse --short=7 HEAD)
          echo "VLLM_ASCEND_COMMIT=$VLLM_ASCEND_COMMIT" >> $GITHUB_ENV

      - name: Collect version info
        run: |
          for dir in /usr/local/Ascend/ascend-toolkit/*; do
            dname=$(basename "$dir")
            if [ "$dname" != "latest" ]; then
              TOOLKIT_DIR="$dname"
              break
            fi
          done
          INFO_FILE="/usr/local/Ascend/ascend-toolkit/${TOOLKIT_DIR}/$(uname -i)-linux/ascend_toolkit_install.info"
          GHA_CANN_VERSION=$(grep "version=" "$INFO_FILE" \
                           | head -n1 \
                           | cut -d'=' -f2 \
                           | tr -d '"')
          {
            echo "GHA_CANN_VERSION=$GHA_CANN_VERSION"
            pip show torch | grep "Version:" | awk '{print "GHA_TORCH_VERSION="$2}'
            pip show torch_npu | grep "Version:" | awk '{print "GHA_TORCH_NPU_VERSION="$2}'
            pip show vllm | grep "Version:" | awk '{print "GHA_VLLM_VERSION="$2}' | sed 's/+.*//'
          } >> "$GITHUB_ENV"

      - name: Run vllm-project/vllm-ascend accuracy test
        id: report
        env:
          VLLM_WORKER_MULTIPROC_METHOD: spawn
          HF_DATASETS_OFFLINE: True
          VLLM_USE_MODELSCOPE: True
          VLLM_CI_RUNNER: ${{ inputs.runner }}
          VLLM_VERSION: ${{ env.GHA_VLLM_VERSION }}
          VLLM_COMMIT: ${{ env.VLLM_COMMIT }}
          VLLM_ASCEND_VERSION: ${{ env.GHA_VLLM_ASCEND_VERSION || github.ref }}
          VLLM_ASCEND_COMMIT: ${{ env.VLLM_ASCEND_COMMIT }}
          CANN_VERSION: ${{ env.GHA_CANN_VERSION }}
          TORCH_VERSION: ${{ env.GHA_TORCH_VERSION }}
          TORCH_NPU_VERSION: ${{ env.GHA_TORCH_NPU_VERSION }}
        run: |
          mkdir -p ./benchmarks/accuracy
          echo "Received model_list: ${{ inputs.model_list }}"
          models=$(echo '${{ inputs.model_list }}' | jq -r '.[]')
          any_failure=0
          for model in $models; do
            echo "Running test for model: $model"
            pytest -sv ./tests/e2e/models/test_lm_eval_correctness.py \
              --config "./tests/e2e/models/configs/${model}.yaml" || {
              echo "Test failed for model: $model"
              any_failure=1
            }
          done

          if [ $any_failure -ne 0 ]; then
            exit 1
          fi

      - name: Generate step summary
        if: ${{ always() }}
        run: |
          models=$(echo '${{ inputs.model_list }}' | jq -r '.[]')
          for model in $models; do
            echo "Processing model: $model"
            model_base_name=$(basename "$model")
            cat ./benchmarks/accuracy/${model_base_name}.md >> $GITHUB_STEP_SUMMARY
          done

      - name: Set artifact timestamp
        id: ts
        run: |
          echo "artifact_ts=$(date -u +%Y%m%dT%H%M%SZ)" >> $GITHUB_OUTPUT

      - name: Upload Report
        if: ${{ inputs.upload == true }}
        uses: actions/upload-artifact@v6
        with:
          name: report-${{ env.GHA_VLLM_ASCEND_VERSION }}-${{ steps.ts.outputs.artifact_ts }}
          path: ./benchmarks/accuracy/
          if-no-files-found: warn
          retention-days: 90
          overwrite: true
