apiVersion: apps/v1
kind: Deployment
metadata:
  name: warbler-cda
  namespace: warbler-cda
  labels:
    app: warbler-cda
spec:
  replicas: 1
  selector:
    matchLabels:
      app: warbler-cda
  template:
    metadata:
      labels:
        app: warbler-cda
    spec:
      containers:
      - name: warbler-cda
        image: warbler-cda:latest  # For Docker Desktop K8s, use local image name
        # For production, replace with: your-registry/warbler-cda:v1.0.0
        ports:
        - containerPort: 8000
          name: http
        env:
        - name: PYTHONPATH
          value: "/app"
        envFrom:
        - configMapRef:
            name: warbler-cda-config
        volumeMounts:
        - name: data
          mountPath: /app/data
        resources:
          requests:
            memory: "512Mi"
            cpu: "200m"
          limits:
            memory: "1Gi"
            cpu: "500m"
        livenessProbe:
          httpGet:
            path: /health
            port: 8000
          initialDelaySeconds: 30
          periodSeconds: 10
          timeoutSeconds: 5
          failureThreshold: 3
        readinessProbe:
          httpGet:
            path: /health
            port: 8000
          initialDelaySeconds: 5
          periodSeconds: 5
          timeoutSeconds: 3
          failureThreshold: 3
        # Start the API service
        command: ["python", "-m", "warbler_cda.api.service"]
        # For testing if image works: command: ["python", "-c", "print('Container started successfully!'); import time; time.sleep(3600)"]
      volumes:
      - name: data
        emptyDir: {}  # For local development, use in-memory storage
        # For production with persistence: persistentVolumeClaim:
        #   claimName: warbler-cda-data