Files
zeavis-edu/.github/workflows/deploy.yml
T
MythEclipseandClaude df09bbca89 fix(ci): download ONNX directly from HF Hub instead of full export pipeline
- No need to install TensorFlow (3GB) — just pip install huggingface_hub
- Download pre-built model.onnx directly (saved from notebook export)
- Cuts CI time from ~10 min to ~30 seconds

Co-Authored-By: Claude <noreply@anthropic.com>
2026-06-11 20:23:39 +00:00

173 lines
5.6 KiB
YAML

name: Build and Deploy
on:
push:
branches:
- main
workflow_dispatch:
env:
REGISTRY: ghcr.io
VITE_API_BASE_URL: ${{ vars.VITE_API_BASE_URL || '' }}
jobs:
build:
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
strategy:
fail-fast: false
matrix:
service:
- name: web
dockerfile: apps/web/Dockerfile
- name: api
dockerfile: apps/api/Dockerfile
- name: ml
dockerfile: apps/ml-service/Dockerfile
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Set image prefix
run: echo "IMAGE_PREFIX=ghcr.io/${GITHUB_REPOSITORY,,}" >> "$GITHUB_ENV"
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Set up Python for model download & export
if: matrix.service.name == 'ml'
uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: Download ONNX model from Hugging Face
if: matrix.service.name == 'ml'
working-directory: Machine_Learning
env:
HF_TOKEN: ${{ secrets.HF_TOKEN }}
run: |
set -eu
echo "::group::Install huggingface_hub"
python -m pip install --upgrade pip -q
python -m pip install huggingface_hub -q
echo "::endgroup::"
echo "::group::Check HF_TOKEN"
if [ -z "${HF_TOKEN:-}" ]; then
echo "ERROR: HF_TOKEN secret is not set."
echo "Add it: https://github.com/ATLAS-PJK-GM007/ZeaVis-Edu/settings/secrets/actions"
exit 1
fi
echo "HF_TOKEN is set (length: ${#HF_TOKEN})"
echo "::endgroup::"
echo "::group::Download model.onnx"
python -c "
from huggingface_hub import hf_hub_download
import os
os.makedirs('model', exist_ok=True)
path = hf_hub_download(
repo_id='MythEclipse2737/corn-leaf-disease-classifier',
filename='model/model.onnx',
token=os.environ['HF_TOKEN'],
local_dir='.',
)
print(f'Downloaded: {path}')
"
ls -lh model/model.onnx
echo "::endgroup::"
- name: Log in to GHCR
uses: docker/login-action@v3
with:
registry: ${{ env.REGISTRY }}
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Extract metadata
id: meta
uses: docker/metadata-action@v5
with:
images: ${{ env.IMAGE_PREFIX }}/${{ matrix.service.name }}
tags: |
type=ref,event=branch
type=sha
- name: Build and push image
uses: docker/build-push-action@v5
with:
context: .
file: ${{ matrix.service.dockerfile }}
push: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
build-args: |
VITE_API_BASE_URL=${{ env.VITE_API_BASE_URL }}
cache-from: type=gha,scope=${{ matrix.service.name }}
cache-to: type=gha,mode=max,scope=${{ matrix.service.name }}
deploy:
needs: build
runs-on: ubuntu-latest
if: github.ref == 'refs/heads/main'
permissions:
contents: read
packages: read
steps:
- name: Validate deploy secrets
env:
VPS_HOST: ${{ secrets.VPS_HOST }}
VPS_USER: ${{ secrets.VPS_USER }}
VPS_SSH_KEY: ${{ secrets.VPS_SSH_KEY }}
run: |
if [ -z "$VPS_HOST" ] || [ -z "$VPS_USER" ] || [ -z "$VPS_SSH_KEY" ]; then
echo "Missing deploy secrets: VPS_HOST, VPS_USER, VPS_SSH_KEY." >&2
exit 1
fi
- name: Deploy to VPS
uses: appleboy/ssh-action@v1.0.3
with:
host: ${{ secrets.VPS_HOST }}
username: ${{ secrets.VPS_USER }}
key: ${{ secrets.VPS_SSH_KEY }}
passphrase: ${{ secrets.VPS_SSH_PASSPHRASE }}
port: ${{ secrets.VPS_PORT || 22 }}
script: |
set -e
DEPLOY_PATH="${DEPLOY_PATH:-/opt/ZeaVis-Edu}"
REPO_SLUG="$(echo "${{ github.repository }}" | tr '[:upper:]' '[:lower:]')"
if [ ! -d "$DEPLOY_PATH/.git" ]; then
mkdir -p "$DEPLOY_PATH"
git clone https://github.com/${{ github.repository }}.git "$DEPLOY_PATH"
fi
cd "$DEPLOY_PATH"
git fetch origin main
git reset --hard origin/main
{
printf 'GITHUB_REPOSITORY=%s\n' "$REPO_SLUG"
cat << 'ENVEOF'
DATABASE_URL=${{ secrets.DATABASE_URL }}
SESSION_SECRET=${{ secrets.SESSION_SECRET }}
WEB_APP_URL=https://zeavisedu.asepharyana.tech
ML_SERVICE_URL=http://zeavis-ml:8000
ENVEOF
} > .env
docker login ghcr.io -u ${{ github.actor }} -p ${{ secrets.GITHUB_TOKEN }}
docker network create app-shared-net 2>/dev/null || true
docker network create telemetry-net 2>/dev/null || true
docker compose down --remove-orphans || true
docker rm -f zeavis-web zeavis-api zeavis-ml zeavis-node-exporter 2>/dev/null || true
docker compose pull
docker compose up -d
docker compose ps
docker compose ps | grep -q "zeavis-web.*Up" || exit 1
docker compose ps | grep -q "zeavis-api.*Up" || exit 1
docker compose ps | grep -q "zeavis-ml.*Up" || exit 1
docker compose ps | grep -q "zeavis-node-exporter.*Up" || echo "⚠️ node_exporter not running (non-fatal)"