---
# Secret for sensitive environment variables
# Replace base64-encoded values before applying:
#   echo -n "your_value" | base64
apiVersion: v1
kind: Secret
metadata:
  name: gitea-assistant-secret
  namespace: gitea-assistant
  labels:
    app.kubernetes.io/name: gitea-assistant
    app.kubernetes.io/part-of: gitea-assistant
type: Opaque
data:
  # REQUIRED: replace with your own base64-encoded Gitea access token
  GITEA_ACCESS_TOKEN: eW91cl9naXRlYV90b2tlbg==

---
apiVersion: v1
kind: ConfigMap
metadata:
  name: gitea-assistant-config
  namespace: gitea-assistant
  labels:
    app.kubernetes.io/name: gitea-assistant
    app.kubernetes.io/part-of: gitea-assistant
data:
  # Required: set to your Gitea instance API endpoint
  GITEA_API_URL: "http://localhost:3000/api/v1"
  PORT: "3000"
  # Optional: Qdrant vector DB for memory features (configure memory settings via Web UI)
  QDRANT_URL: "http://qdrant.gitea-assistant.svc.cluster.local:6333"
  # All other settings (review engine, Feishu, admin password, etc.) are managed
  # through the Admin Dashboard Web UI. They are auto-seeded on first boot.

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: gitea-assistant
  namespace: gitea-assistant
  labels:
    app.kubernetes.io/name: gitea-assistant
    app.kubernetes.io/part-of: gitea-assistant
spec:
  replicas: 1
  selector:
    matchLabels:
      app.kubernetes.io/name: gitea-assistant
  template:
    metadata:
      labels:
        app.kubernetes.io/name: gitea-assistant
        app.kubernetes.io/part-of: gitea-assistant
    spec:
      containers:
        - name: gitea-assistant
          image: ghcr.io/jeffusion/gitea-ai-assistant:latest
          ports:
            - name: http
              containerPort: 3000
              protocol: TCP
          envFrom:
            - configMapRef:
                name: gitea-assistant-config
            - secretRef:
                name: gitea-assistant-secret
          resources:
            limits:
              memory: "512Mi"
            requests:
              memory: "256Mi"
              cpu: "100m"
          volumeMounts:
            - name: data
              mountPath: /app/data
          livenessProbe:
            httpGet:
              path: /
              port: http
            initialDelaySeconds: 10
            periodSeconds: 30
            timeoutSeconds: 5
            failureThreshold: 3
          readinessProbe:
            httpGet:
              path: /
              port: http
            initialDelaySeconds: 5
            periodSeconds: 10
            timeoutSeconds: 5
            failureThreshold: 3
      volumes:
        - name: data
          persistentVolumeClaim:
            claimName: gitea-assistant-data

---
apiVersion: v1
kind: Service
metadata:
  name: gitea-assistant
  namespace: gitea-assistant
  labels:
    app.kubernetes.io/name: gitea-assistant
    app.kubernetes.io/part-of: gitea-assistant
spec:
  type: ClusterIP
  selector:
    app.kubernetes.io/name: gitea-assistant
  ports:
    - name: http
      port: 3000
      targetPort: http
      protocol: TCP