#
# 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: 310p Labeled Test

on:
  push:
    tags:
      - 'v*'
  pull_request:
    types: [ labeled ]

# 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 / 4 cards test type
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  e2e:
    # e2e-310p-test will be triggered when tag 'e2e-310p-test' & 'ready-for-test' or schedule job
    if: >- 
      ${{ 
        (contains(github.event.pull_request.labels.*.name, 'e2e-310p-test'))  && 
        contains(github.event.pull_request.labels.*.name, 'ready-for-test') || 
        github.event_name == 'schedule' || github.event_name == 'push' 
        }}
    strategy:
      max-parallel: 2
      matrix:
        os: [linux-aarch64-310p-1, linux-aarch64-310p-4]
        vllm_version: [v0.11.0]
    name: 310p e2e test
    runs-on: ${{ matrix.os }}
    container:
      # TODO(yikun): Remove m.daocloud.io prefix when infra proxy ready
      image: swr.cn-southwest-2.myhuaweicloud.com/base_image/ascend-ci/cann:8.3.rc2-310p-ubuntu22.04-py3.11
      env:
        VLLM_LOGGING_LEVEL: ERROR
        VLLM_USE_MODELSCOPE: True
    steps:        
      - name: Check npu and CANN info
        run: |
          npu-smi info
          cat /usr/local/Ascend/ascend-toolkit/latest/"$(uname -i)"-linux/ascend_toolkit_install.info

      - name: Config mirrors
        run: |
          sed -Ei 's@(ports|archive).ubuntu.com@cache-service.nginx-pypi-cache.svc.cluster.local:8081@g' /etc/apt/sources.list
          pip config set global.index-url http://cache-service.nginx-pypi-cache.svc.cluster.local/pypi/simple
          pip config set global.trusted-host cache-service.nginx-pypi-cache.svc.cluster.local
          apt-get update -y
          apt install git -y

      - 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 git vim wget net-tools gcc g++ cmake libnuma-dev curl gnupg2

      - name: Checkout vllm-project/vllm repo
        uses: actions/checkout@v6
        with:
          repository: vllm-project/vllm
          ref: ${{ matrix.vllm_version }}
          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
        run: |
          export PIP_EXTRA_INDEX_URL=https://mirrors.huaweicloud.com/ascend/repos/pypi
          export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/Ascend/ascend-toolkit/latest/x86_64-linux/devlib
          pip install -r requirements-dev.txt
          pip install -v -e .

      - name: Run e2e test
        env:
          VLLM_WORKER_MULTIPROC_METHOD: spawn
          VLLM_USE_MODELSCOPE: True
          PYTORCH_NPU_ALLOC_CONF: max_split_size_mb:256
        run: |
          if [[ "${{ matrix.os }}" == "linux-aarch64-310p-1" ]]; then
            pytest -sv tests/e2e/310p/test_offline_inference_310p.py
          else
            pytest -sv tests/e2e/310p/test_offline_inference_parallel_310p.py
          fi
