# ================================================================
# Kubernetes Deployment: infrastructure/kubernetes/base/forecasting-service.yaml
# ================================================================
apiVersion: apps/v1
kind: Deployment
metadata:
  name: forecasting-service
  labels:
    app: forecasting-service
spec:
  replicas: 2
  selector:
    matchLabels:
      app: forecasting-service
  template:
    metadata:
      labels:
        app: forecasting-service
    spec:
      containers:
      - name: forecasting-service
        image: bakery-forecasting/forecasting-service:latest
        ports:
        - containerPort: 8000
        env:
        - name: DATABASE_URL
          valueFrom:
            secretKeyRef:
              name: forecasting-db-secret
              key: database-url
        - name: RABBITMQ_URL
          valueFrom:
            secretKeyRef:
              name: rabbitmq-secret
              key: url
        - name: REDIS_URL
          valueFrom:
            secretKeyRef:
              name: redis-secret
              key: url
        - name: TRAINING_SERVICE_URL
          value: "http://training-service:8000"
        - name: DATA_SERVICE_URL
          value: "http://data-service:8000"
        resources:
          requests:
            memory: "512Mi"
            cpu: "250m"
          limits:
            memory: "1Gi"
            cpu: "500m"
        livenessProbe:
          httpGet:
            path: /health
            port: 8000
          initialDelaySeconds: 30
          periodSeconds: 10
        readinessProbe:
          httpGet:
            path: /health
            port: 8000
          initialDelaySeconds: 5
          periodSeconds: 5
---
apiVersion: v1
kind: Service
metadata:
  name: forecasting-service
  labels:
    app: forecasting-service
spec:
  selector:
    app: forecasting-service
  ports:
  - port: 8000
    targetPort: 8000
  type: ClusterIP