feat: Add CI/CD pipeline with Docker build and K8s deployment

Add Dockerfile (multi-stage, python:3.11-slim + uv), K8s manifests
(Deployment + Service), and extend CI workflow with build-push-deploy
stages targeting Gitea registry and K3s.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

.gitea/workflows/ci.yml

@@ -1,4 +1,4 @@
-name: Python CI
+name: CI/CD
 
 on:
   push:
@@ -21,10 +21,52 @@ jobs:
         run: pip install uv
 
       - name: Install dependencies
-        run: uv pip install --system -e ".[dev]" || uv pip install --system -e .
+        run: uv pip install --system -e "haproxy_mcp[dev]" || uv pip install --system -e haproxy_mcp
 
       - name: Lint with ruff
         run: ruff check . || true
 
       - name: Type check
         run: mypy . --ignore-missing-imports || true
+
+  build-and-deploy:
+    needs: test
+    if: github.event_name == 'push' && github.ref == 'refs/heads/main'
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Login to Gitea Registry
+        run: echo "${{ secrets.REGISTRY_PASSWORD }}" | docker login gitea.anvil.it.com -u "${{ secrets.REGISTRY_USERNAME }}" --password-stdin
+
+      - name: Build and push Docker image
+        run: |
+          IMAGE=gitea.anvil.it.com/kaffa/haproxy-mcp
+          TAG=${GITHUB_SHA::8}
+          docker buildx build \
+            --platform linux/amd64 \
+            --tag ${IMAGE}:${TAG} \
+            --tag ${IMAGE}:latest \
+            --push \
+            .
+
+      - name: Deploy to K8s
+        env:
+          KUBECONFIG_DATA: ${{ secrets.KUBECONFIG }}
+        run: |
+          mkdir -p ~/.kube
+          echo "${KUBECONFIG_DATA}" | base64 -d > ~/.kube/config
+          chmod 600 ~/.kube/config
+
+          IMAGE=gitea.anvil.it.com/kaffa/haproxy-mcp
+          TAG=${GITHUB_SHA::8}
+
+          kubectl set image deployment/haproxy-mcp \
+            haproxy-mcp=${IMAGE}:${TAG} \
+            -n default
+
+          kubectl rollout status deployment/haproxy-mcp \
+            -n default --timeout=120s

Dockerfile

@@ -0,0 +1,23 @@
+FROM python:3.11-slim AS builder
+
+WORKDIR /app
+
+COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv
+
+COPY haproxy_mcp/pyproject.toml haproxy_mcp/uv.lock ./haproxy_mcp/
+
+RUN cd haproxy_mcp && uv pip install --system --no-cache -e .
+
+COPY haproxy_mcp/ ./haproxy_mcp/
+
+FROM python:3.11-slim
+
+WORKDIR /app
+
+COPY --from=builder /usr/local/lib/python3.11/site-packages /usr/local/lib/python3.11/site-packages
+COPY --from=builder /usr/local/bin /usr/local/bin
+COPY --from=builder /app/haproxy_mcp ./haproxy_mcp
+
+EXPOSE 8000
+
+ENTRYPOINT ["python", "-m", "haproxy_mcp"]

k8s/deployment.yaml

@@ -0,0 +1,55 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: haproxy-mcp
+  namespace: default
+  labels:
+    app: haproxy-mcp
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: haproxy-mcp
+  template:
+    metadata:
+      labels:
+        app: haproxy-mcp
+    spec:
+      imagePullSecrets:
+        - name: gitea-registry
+      containers:
+        - name: haproxy-mcp
+          image: gitea.anvil.it.com/kaffa/haproxy-mcp:latest
+          ports:
+            - containerPort: 8000
+              protocol: TCP
+          env:
+            - name: MCP_HOST
+              value: "0.0.0.0"
+            - name: MCP_PORT
+              value: "8000"
+            - name: HAPROXY_HOST
+              value: "10.253.100.107"
+            - name: HAPROXY_PORT
+              value: "9999"
+            - name: LOG_LEVEL
+              value: "INFO"
+          readinessProbe:
+            httpGet:
+              path: /mcp
+              port: 8000
+            initialDelaySeconds: 5
+            periodSeconds: 10
+          livenessProbe:
+            httpGet:
+              path: /mcp
+              port: 8000
+            initialDelaySeconds: 10
+            periodSeconds: 30
+          resources:
+            requests:
+              memory: "128Mi"
+              cpu: "100m"
+            limits:
+              memory: "256Mi"
+              cpu: "500m"

k8s/service.yaml

@@ -0,0 +1,16 @@
+apiVersion: v1
+kind: Service
+metadata:
+  name: haproxy-mcp
+  namespace: default
+  labels:
+    app: haproxy-mcp
+spec:
+  type: ClusterIP
+  selector:
+    app: haproxy-mcp
+  ports:
+    - port: 8000
+      targetPort: 8000
+      protocol: TCP
+      name: mcp