Merge pull request #6 from YakobusIP/main

.github/workflows/ci-production.yml

@@ -1,68 +0,0 @@
-name: Deploy to Google Vertex AI
-
-on:
-  push:
-    branches:
-      - production
-    path:
-      - "core-model-prediction/**"
-      - ".github/workflows/**"
-
-jobs:
-  setup-build-publish-deploy:
-    name: Setup, Build, Publish, and Deploy
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v2
-
-      - name: Set up Cloud SDK
-        uses: google-github-actions/setup-gcloud@v0.2.0
-        with:
-          project_id: ${{ secrets.GCP_PROJECT_ID }}
-          service_account_key: ${{ secrets.GCP_DEPLOYER_SA_KEY }}
-          export_default_credentials: true
-
-      - name: Authenticate Docker
-        run: |
-          gcloud auth configure-docker ${{ secrets.GCP_REPO_REGION }}-docker.pkg.dev --quiet
-
-      - name: Build image
-        working-directory: ./core-model-prediction
-        run: docker build . --file Dockerfile --tag ${{ secrets.GCP_REPO_REGION }}-docker.pkg.dev/${{ secrets.GCP_PROJECT_ID }}/interview-ai-detector/model-prediction
-
-      - name: Push image
-        run: docker push ${{ secrets.GCP_REPO_REGION }}-docker.pkg.dev/${{ secrets.GCP_PROJECT_ID }}/interview-ai-detector/model-prediction
-
-      - name: Create model
-        id: create_model
-        run: |
-          MODEL_ID=$(gcloud ai models upload \
-            --region="${{ secrets.GCP_VERTEX_AI_REGION }}" \
-            --container-ports=8080 \
-            --container-image-uri="${{ secrets.GCP_REPO_REGION }}-docker.pkg.dev/${{ secrets.GCP_PROJECT_ID }}/interview-ai-detector/model-prediction:latest" \
-            --container-predict-route="/predict" \
-            --container-health-route="/health" \
-            --display-name=interview-ai-detector-model \
-            --format="value(model)")
-          echo "MODEL_ID=${MODEL_ID}" >> $GITHUB_ENV
-
-      - name: Create Vertex AI endpoint
-        id: create_endpoint
-        run: |
-          ENDPOINT_ID=$(gcloud ai endpoints create \
-            --region=${{ secrets.GCP_VERTEX_AI_REGION }} \
-            --display-name=interview-ai-detector-endpoint \
-            --format="value(name)")
-          echo "ENDPOINT_ID=${ENDPOINT_ID}" >> $GITHUB_ENV
-
-      - name: Deploy model to endpoint
-        run: |
-          gcloud ai endpoints deploy-model ${{ env.ENDPOINT_ID }} \
-            --region=${{ secrets.GCP_VERTEX_AI_REGION }} \
-            --model=${{ env.MODEL_ID }} \
-            --display-name=interview-ai-detector-deployment \
-            --machine-type="n1-standard-4" \
-            --accelerator=count=1,type=nvidia-tesla-t4 \
-            --service-account=${{ secrets.GCP_VERTEX_AI_SA_EMAIL }}

core-model-prediction/cloudbuild.yaml

@@ -0,0 +1,49 @@
+steps:
+  - name: "docker"
+    dir: "core-model-prediction"
+    args:
+      [
+        "builds",
+        "submit",
+        "--tag",
+        "gcr.io/$PROJECT_ID/interview-ai-detector/model-prediction",
+      ]
+
+  - name: "gcr.io/google.com/cloudsdktool/cloud-sdk"
+    entrypoint: "bash"
+    args:
+      - "-c"
+      - |
+        MODEL_ID=$(gcloud ai models upload \
+          --region="$_GCP_VERTEX_AI_REGION" \
+          --container-ports=8080 \
+          --container-image-uri="gcr.io/$PROJECT_ID/interview-ai-detector/model-prediction:latest" \
+          --container-predict-route="/predict" \
+          --container-health-route="/health" \
+          --display-name="interview-ai-detector-model" \
+          --format="value(model)")
+        echo "MODEL_ID=${MODEL_ID}"
+
+  - name: "gcr.io/google.com/cloudsdktool/cloud-sdk"
+    entrypoint: "bash"
+    args:
+      - "-c"
+      - |
+        ENDPOINT_ID=$(gcloud ai endpoints create \
+          --region="$_GCP_VERTEX_AI_REGION" \
+          --display-name="interview-ai-detector-endpoint" \
+          --format="value(name)")
+        echo "ENDPOINT_ID=${ENDPOINT_ID}"
+
+  - name: "gcr.io/google.com/cloudsdktool/cloud-sdk"
+    entrypoint: "bash"
+    args:
+      - "-c"
+      - |
+        gcloud ai endpoints deploy-model "$ENDPOINT_ID" \
+          --region="$_GCP_VERTEX_AI_REGION" \
+          --model="$MODEL_ID" \
+          --display-name="interview-ai-detector-deployment" \
+          --machine-type="n1-standard-4" \
+          --accelerator="count=1,type=nvidia-tesla-t4" \
+          --service-account="$_GCP_VERTEX_AI_SA_EMAIL"