name: Quant Engine CI/CD Pipeline

on:
  push:
    branches: [ main ]
  pull_request:
    branches: [ main ]

jobs:
  validate-and-build:
    # Synology NAS act_runner: host-based 실행 (Docker 불필요)
    # Python: /usr/bin/python3 (3.8.12), Node.js: /usr/local/bin/node (v18.18.2)
    runs-on: self-hosted

    steps:
    - name: Checkout Code
      run: |
        if [ -d .git ]; then
          git remote set-url origin http://x-access-token:${{ secrets.GITHUB_TOKEN }}@192.168.123.100:8418/KimJaeHyun/myfinance.git
        else
          git init
          git remote add origin http://x-access-token:${{ secrets.GITHUB_TOKEN }}@192.168.123.100:8418/KimJaeHyun/myfinance.git
        fi
        git fetch origin ${{ github.sha }} --depth=1
        git reset --hard FETCH_HEAD

    - name: Configure Runtime Paths
      run: |
        # Node.js 18은 /usr/local/bin에 설치됨 (appstore) — 현재 스텝과 이후 스텝 모두 적용
        export PATH=/usr/local/bin:$PATH
        echo "/usr/local/bin" >> $GITHUB_PATH
        echo "=== 런타임 버전 확인 ==="
        /usr/bin/python3 --version
        node --version
        npm --version

    - name: Setup Python Environment
      run: |
        # 32-bit ARM(armv7l)에는 공식 numpy/pandas 휠 없음
        # → micromamba(conda-forge)로 ARM 네이티브 바이너리 제공
        MAMBA_DIR=/volume1/gitea/micromamba
        CONDA_ENV=/volume1/gitea/conda_py38
        MAMBA="$MAMBA_DIR/bin/micromamba"

        # 1) micromamba 바이너리 최초 1회 다운로드
        if [ ! -f "$MAMBA" ]; then
          echo "=== micromamba 다운로드 ==="
          mkdir -p "$MAMBA_DIR/bin"
          curl -Ls https://micro.mamba.pm/api/micromamba/linux-32/latest \
            | tar -xvj -C "$MAMBA_DIR" --strip-components=1 bin/micromamba
          chmod +x "$MAMBA"
          echo "micromamba: $($MAMBA --version)"
        fi

        # 2) conda-forge 환경 최초 1회 생성 (numpy/pandas ARM 바이너리 포함)
        if ! "$CONDA_ENV/bin/python" -c "import numpy, pandas, yaml" 2>/dev/null; then
          echo "=== conda env 생성 (conda-forge ARM) ==="
          "$MAMBA" create -p "$CONDA_ENV" -c conda-forge \
            python=3.8 numpy pandas pyyaml openpyxl -y --quiet
          # pip-only 패키지 (yfinance 등)
          "$CONDA_ENV/bin/pip" install yfinance --quiet --prefer-binary
          if [ -f requirements.txt ]; then
            "$CONDA_ENV/bin/pip" install -r requirements.txt --quiet --prefer-binary
          fi
          "$CONDA_ENV/bin/python" -c \
            "import numpy, pandas; print('numpy', numpy.__version__, '/ pandas', pandas.__version__)"
          echo "=== conda env 설치 완료 ==="
        else
          "$CONDA_ENV/bin/python" -c \
            "import numpy, pandas; print('=== conda env 재사용: numpy', numpy.__version__, '/ pandas', pandas.__version__, '===')"
        fi

        # 이후 모든 스텝에서 conda python 사용
        echo "$CONDA_ENV/bin" >> $GITHUB_PATH

    - name: Install Node Dependencies
      run: npm install --quiet

    - name: Validate Specs
      run: python3 tools/validate_specs.py

    - name: Validate Formula Registry
      run: python3 tools/validate_formula_registry.py

    - name: Validate Golden Case Coverage
      run: python3 tools/validate_golden_coverage_100.py

    - name: Build Rebalance Engine V2
      run: python3 tools/build_rebalance_engine_v2.py

    - name: Ingest Fundamentals V2 (Dry Run)
      run: python3 tools/ingest_fundamental_raw.py --no-naver
      env:
        DART_API_KEY: ${{ secrets.DART_API_KEY }}

    - name: Run Full Integration Gate
      run: python3 tools/run_release_dag_v3.py --mode release --strict

    - name: Build Operational Bundle
      run: python3 tools/build_bundle.py

    - name: Notify PR Result
      if: always() && github.event_name == 'pull_request'
      run: |
        STATUS="${{ job.status }}"
        PR_NUM="${{ github.event.pull_request.number }}"
        RUN_URL="${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}"
        if [ "$STATUS" = "success" ]; then
          MSG="✅ **CI PASS** — gate=PASS step_count=55\n\n[워크플로우 로그](${RUN_URL})"
        else
          MSG="❌ **CI FAIL** — 로그 확인 필요\n\n[워크플로우 로그](${RUN_URL})"
        fi
        curl -s -X POST "${{ github.api_url }}/repos/${{ github.repository }}/issues/${PR_NUM}/comments" \
          -H "Authorization: token ${{ secrets.GITHUB_TOKEN }}" \
          -H "Content-Type: application/json" \
          -d "{\"body\":\"${MSG}\"}"