enginex-qwen25-compat/.gitea/workflows/docker-build-push.yml

name: Build and verify Qwen2.5 compatibility engines

on:
  push:
    tags:
      - "v*-nvidia-a100"
      - "v*-cambricon-mlu370"
      - "v*-metax-c500"
      - "v*-vastai-va16"
      - "v*-all"

jobs:
  docker:
    runs-on: amd64-ubuntu-24.04
    env:
      RELEASE_TAG: ${{ gitea.ref_name }}
      REPOSITORY: ${{ gitea.repository }}
      SERVER_URL: ${{ gitea.server_url }}
      ACTOR: ${{ gitea.actor }}
    steps:
      - name: Clone tagged source
        run: |
          git clone "$SERVER_URL/$REPOSITORY.git" .
          git checkout "$RELEASE_TAG"

      - name: Run compatibility tests
        run: |
          python3 -m unittest discover -s tests -q
          python3 -m py_compile engine_compat.py release_plan.py
          bash -n vllm_wrapper.sh

      - name: Select release targets and load image metadata
        run: |
          set -eu
          set -a
          . .gitea/workflows/task_info.env
          set +a
          test -n "$FRAMEWORK"
          test -n "$TASK_TYPE"
          python3 release_plan.py "$RELEASE_TAG" --gitea-env "$GITEA_ENV"
          echo "FRAMEWORK=$FRAMEWORK" >> "$GITEA_ENV"
          echo "TASK_TYPE=$TASK_TYPE" >> "$GITEA_ENV"

      - name: Validate GPU and task metadata
        run: |
          set -eu
          test -n "${FIXED_TOKEN:-}" || { echo "FIXED_TOKEN is missing"; exit 1; }
          for gpu in $GPU_TYPES; do
            response="$(curl --silent --show-error --fail-with-body --location --get \
              'https://modelhub.org.cn/adminApi/image-verify/validate' \
              --header "Xc-Token: $FIXED_TOKEN" \
              --data-urlencode "gpuType=$gpu" \
              --data-urlencode "taskType=$TASK_TYPE")"
            VALIDATE_RESPONSE="$response" python3 -c 'import json,os,sys; body=json.loads(os.environ["VALIDATE_RESPONSE"]); sys.exit(0 if body.get("code")==0 and body.get("data") is True else 1)'
            echo "validated gpuType=$gpu taskType=$TASK_TYPE"
          done

      - name: Log in to Docker registry
        run: |
          set -eu
          test -n "${DOCKER_REGISTRY:-}"
          test -n "${DOCKER_USERNAME:-}"
          test -n "${DOCKER_PASSWORD:-}"
          printf '%s' "$DOCKER_PASSWORD" | docker login "$DOCKER_REGISTRY" \
            -u "$DOCKER_USERNAME" --password-stdin

      - name: Build and push target images
        run: |
          set -eu
          image_name="$(printf '%s' "$REPOSITORY" | tr '[:upper:]' '[:lower:]' | tr '_' '-')"
          image_base="$DOCKER_REGISTRY/$DOCKER_USERNAME/$image_name"
          echo "IMAGE_BASE=$image_base" >> "$GITEA_ENV"
          for target in $IMAGE_TARGETS; do
            if [ "$RELEASE_TARGET" = all ]; then
              image_tag="$RELEASE_TAG-$target"
            else
              image_tag="$RELEASE_TAG"
            fi
            image="$image_base:$image_tag"
            case "$target" in
              nvidia-a100)
                docker build \
                  --build-arg BASE_IMAGE=harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0 \
                  -t "$image" . ;;
              cambricon-mlu370)
                docker build \
                  --build-arg BASE_IMAGE=harbor.4pd.io/hardcore-tech/cambricon-mlu370-pytorch:v25.01-20260228 \
                  -t "$image" . ;;
              metax-c500)
                docker build \
                  --build-arg BASE_IMAGE=harbor.4pd.io/modelhubxc/enginex-metax/vllm:0.9.1 \
                  --build-arg PYTHON_BIN=/opt/conda/bin/python3 \
                  --build-arg VLLM_BIN=/opt/conda/bin/vllm \
                  -t "$image" . ;;
              vastai-va16)
                docker build \
                  --build-arg BASE_IMAGE=harbor.4pd.io/modelhubxc/sunruoxi/enginex-vastai-vllm-vacc-fix-tokenizer:VVI-26.02 \
                  -t "$image" . ;;
              *) echo "unknown image target: $target"; exit 1 ;;
            esac
            success=0
            for attempt in 1 2 3; do
              if docker push "$image"; then success=1; break; fi
              echo "docker push attempt $attempt failed for $image"
              sleep 30
            done
            test "$success" -eq 1
          done

      - name: Notify ModelHub image verification
        run: |
          set -eu
          for mapping in $VERIFY_PAIRS; do
            gpu="${mapping%%:*}"
            target="${mapping#*:}"
            case " $IMAGE_TARGETS " in
              *" $target "*) ;;
              *) echo "GPU target was not built: $gpu"; exit 1 ;;
            esac
            if [ "$RELEASE_TARGET" = all ]; then
              image_tag="$RELEASE_TAG-$target"
            else
              image_tag="$RELEASE_TAG"
            fi
            image="$IMAGE_BASE:$image_tag"
            payload="$(GPU_TYPE="$gpu" IMAGE="$image" REPO_URL="$SERVER_URL/$REPOSITORY" TAG="$RELEASE_TAG" python3 -c 'import json, os; print(json.dumps({"framework": os.environ["FRAMEWORK"], "gpuType": os.environ["GPU_TYPE"], "imageUrl": os.environ["IMAGE"], "taskType": os.environ["TASK_TYPE"], "createBy": os.environ["ACTOR"], "repoUrl": os.environ["REPO_URL"], "tag": os.environ["TAG"]}))')"
            response="$(curl --silent --show-error --fail-with-body --location \
              --request POST 'https://modelhub.org.cn/adminApi/image-verify' \
              --header "Xc-Token: $FIXED_TOKEN" \
              --header 'Content-Type: application/json' \
              --data-raw "$payload")"
            VERIFY_RESPONSE="$response" python3 -c 'import json,os,sys; body=json.loads(os.environ["VERIFY_RESPONSE"]); sys.exit(0 if body.get("code")==0 else 1)'
            echo "submitted image verification for $gpu"
          done