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QuantEngineByItz/.gitea/workflows/ci.yml
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kjh2064 393e4df27c ci: numpy/pandas ARM 설치를 micromamba(conda-forge)로 전환
32-bit ARM(armv7l) + Python 3.8 조합은 공식 pip 휠 없음:
- PyPI: manylinux aarch64만 제공 (64-bit)
- piwheels: cp38 armv7l 휠 없음 (cp311+ 만 제공)
- 소스 빌드: gcc 미설치로 불가

해결: micromamba(linux-32) + conda-forge
- conda-forge는 armv7l 네이티브 바이너리 제공
- /volume1/gitea/micromamba, /volume1/gitea/conda_py38 영구 저장

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 21:50:36 +09:00

117 lines
4.5 KiB
YAML

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}\"}"