Trying GithubActions with tensorflow image #17
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| name: Build and Deploy Code | |
| on: [push, pull_request] | |
| jobs: | |
| # test: | |
| # environment: | |
| # name: testing | |
| # env: | |
| # TF_MODEL_EPOCHS: ${{vars.TF_MODEL_EPOCHS}} | |
| # IMAGE_SIZE_X: ${{vars.IMAGE_SIZE_X}} | |
| # IMAGE_SIZE_Y: ${{vars.IMAGE_SIZE_Y}} | |
| # # services: | |
| # # postgres: | |
| # # image: postgres | |
| # # env: | |
| # # POSTGRES_PASSWORD: ${{secrets.DATABASE_PASSWORD}} | |
| # # POSTGRES_DB: ${{secrets.DATABASE_NAME}}_test | |
| # # ports: | |
| # # - 5432:5432 | |
| # # options: >- | |
| # # --health-cmd pg_isready | |
| # # --health-interval 10s | |
| # # --health-timeout 5s | |
| # # --health-retries 5 | |
| # runs-on: ubuntu-latest | |
| # steps: | |
| # - name: pulling git repo | |
| # uses: actions/checkout@v2 | |
| # - name: Install packages | |
| # run: sudo apt-get update && sudo apt-get install -y libgl1-mesa-glx | |
| # - name: Install python version 3.12 | |
| # uses: actions/setup-python@v2 | |
| # with: | |
| # python-version: "3.12" | |
| # - name: update pip | |
| # run: python -m pip install --upgrade pip | |
| # - name: install | |
| # run: make install | |
| # - name: test | |
| # run: make test | |
| # # - name: Login to Docker Hub | |
| # # uses: docker/login-action@v1 | |
| # # with: | |
| # # username: ${{ secrets.DOCKER_HUB_USERNAME }} | |
| # # password: ${{ secrets.DOCKER_HUB_ACCESS_TOKEN }} | |
| # # - name: Set up Docker Buildx | |
| # # id: buildx | |
| # # uses: docker/setup-buildx-action@v1 | |
| # # - name: Build and push | |
| # # id: docker_build | |
| # # uses: docker/build-push-action@v2 | |
| # # with: | |
| # # context: ./ | |
| # # file: ./Dockerfile | |
| # # builder: ${{ steps.buildx.outputs.name }} | |
| # # push: true | |
| # # tags: ${{ secrets.DOCKER_HUB_USERNAME }}/fastapi:latest | |
| # # cache-from: type=local,src=/tmp/.buildx-cache | |
| # # cache-to: type=local,dest=/tmp/.buildx-cache | |
| # # - name: Image digest | |
| # # run: echo ${{ steps.docker_build.outputs.digest }} | |
| deploy: | |
| runs-on: tensorflow/tensorflow:latest | |
| # needs: [test] | |
| environment: | |
| name: production | |
| steps: | |
| - name: pulling git repo | |
| uses: actions/checkout@v2 | |
| - name: Make app envfile | |
| uses: SpicyPizza/create-envfile@v1 | |
| with: | |
| envkey_TF_MODEL_EPOCHS: ${{ vars.TF_MODEL_EPOCHS }} | |
| envkey_IMAGE_SIZE_X: ${{ vars.IMAGE_SIZE_X }} | |
| envkey_IMAGE_SIZE_Y: ${{ vars.IMAGE_SIZE_Y }} | |
| directory: . | |
| file_name: .env | |
| fail_on_empty: false | |
| sort_keys: false | |
| - name: install | |
| run: make install | |
| - name: build | |
| run: make build | |
| - name: SCP repo to production server | |
| uses: appleboy/scp-action@master | |
| with: | |
| host: ${{ secrets.PROD_HOST }} | |
| username: ${{ secrets.PROD_USERNAME }} | |
| password: ${{ secrets.PROD_PASSWORD }} | |
| source: "./*" | |
| target: "/root/image-classification" | |
| - name: deploy to production server | |
| uses: appleboy/ssh-action@master | |
| with: | |
| host: ${{secrets.PROD_HOST}} | |
| username: ${{secrets.PROD_USERNAME}} | |
| password: ${{secrets.PROD_PASSWORD}} | |
| script: | | |
| cd /root/image-classification | |
| docker ps -q --filter "name=img_cls_cont" | xargs -r docker stop | |
| docker ps -a -q --filter "name=img_cls_cont" | xargs -r docker rm | |
| docker build -t img_cls:latest . | |
| docker run -p 8000:8000 -d --name img_cls_cont img_cls:latest | |
| docker image prune -af | |
| # echo ${{secrets.PROD_PASSWORD}} | sudo -S systemctl restart image-classification |