# chat-svc — LLM, Mastra, Writer, Classifier, Researcher
# docs/architecture: 02-k3s-microservices-spec.md
# Frontend при CHAT_SVC_URL проксирует /api/chat сюда
apiVersion: apps/v1
kind: Deployment
metadata:
  name: chat-svc
  namespace: gooseek
spec:
  replicas: 2
  selector:
    matchLabels:
      app: chat-svc
  template:
    metadata:
      labels:
        app: chat-svc
      annotations:
        prometheus.io/scrape: "true"
        prometheus.io/port: "3005"
        prometheus.io/path: "/metrics"
    spec:
      containers:
        - name: chat-svc
          image: gooseek/chat-svc:latest
          ports:
            - containerPort: 3005
          env:
            - name: PORT
              value: "3005"
            - name: DATA_DIR
              value: "/app/data"
            - name: SEARCH_SVC_URL
              value: "http://search-svc.gooseek:3001"
            - name: MEMORY_SVC_URL
              value: "http://memory-svc.gooseek:3010"
            - name: LLM_SVC_URL
              value: "http://llm-svc.gooseek:3020"
            - name: LLM_PROVIDER
              valueFrom:
                configMapKeyRef:
                  name: chat-svc-config
                  key: llm-provider
            - name: OLLAMA_BASE_URL
              valueFrom:
                configMapKeyRef:
                  name: chat-svc-config
                  key: ollama-base-url
                  optional: true
            - name: OPENAI_API_KEY
              valueFrom:
                secretKeyRef:
                  name: llm-credentials
                  key: openai-api-key
                  optional: true
          volumeMounts:
            - name: chat-data
              mountPath: /app/data
          livenessProbe:
            httpGet:
              path: /health
              port: 3005
            initialDelaySeconds: 10
            periodSeconds: 10
          readinessProbe:
            httpGet:
              path: /ready
              port: 3005
            initialDelaySeconds: 5
            periodSeconds: 5
          resources:
            requests:
              cpu: 200m
              memory: 512Mi
            limits:
              cpu: 2000m
              memory: 2Gi
      volumes:
        - name: chat-data
          emptyDir: {}
---
apiVersion: v1
kind: Service
metadata:
  name: chat-svc
  namespace: gooseek
spec:
  selector:
    app: chat-svc
  ports:
    - port: 3005
      targetPort: 3005
---
# ConfigMap для LLM — секреты в llm-credentials (опционально)
# При отсутствии ollama в кластере укажите внешний URL или LLM_PROVIDER=openai
apiVersion: v1
kind: ConfigMap
metadata:
  name: chat-svc-config
  namespace: gooseek
data:
  llm-provider: "ollama"
  ollama-base-url: "http://host.docker.internal:11434"