# --- 1. Secret to hold your Garmin Connect token ---
# You must create this secret before applying the rest of the manifest.
# Replace 'your_base64_encoded_token_here' with your actual token encoded in Base64.
# To encode your token, run: echo -n 'your_token_from_login' | base64
# apiVersion: v1
# kind: Secret
# metadata:
#   name: garth-mcp-secret
#   namespace: default
# type: Opaque
# data:
#   # This key MUST be GARTH_TOKEN to match the application's environment variable
#   GARTH_TOKEN: your_base64_encoded_token_here
---
# deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: garth-mcp-server
  namespace: n8n
  labels:
    app: garth-mcp-server
spec:
  replicas: 1
  selector:
    matchLabels:
      app: garth-mcp-server
  template:
    metadata:
      labels:
        app: garth-mcp-server
    spec:
      containers:
      - name: garth-mcp-server
        # Use a Python image version >= 3.13 as requested.
        image: python:3.13-slim
        resources:
          requests:
            memory: "64Mi"
            cpu: "100m"
          limits:
            memory: "256Mi"
            cpu: "500m"
        # This command now installs dependencies and directly executes the mounted script.
        command: ["/bin/sh", "-c"]
        args: [
          "pip install --no-cache-dir --upgrade pip && \
           pip install --no-cache-dir uv mcp-proxy && \
           echo '--- Setup complete, starting server ---' && \
           mcp-proxy --host=0.0.0.0 --port=8080 --pass-environment uvx garth-mcp-server"
        ]
        ports:
        - containerPort: 8080
          name: http
        # Inject the Garmin token securely from the Kubernetes Secret.
        envFrom:
        - secretRef:
            name: garth-token-secret
        # # Health probes for Kubernetes to manage the pod's lifecycle.
        # livenessProbe:
        #   tcpSocket:
        #     port: 8080
        #   initialDelaySeconds: 15
        #   periodSeconds: 20
        # readinessProbe:
        #   tcpSocket:
        #     port: 8080
        #   initialDelaySeconds: 60
        #   periodSeconds: 10
---
# --- 3. Service to expose the Deployment ---
# This creates a stable internal endpoint for the server.
apiVersion: v1
kind: Service
metadata:
  name: garth-mcp-service
  namespace: n8n
spec:
  selector:
    app: garth-mcp-server
  ports:
  - name: http
    protocol: TCP
    # The port the service will be available on within the cluster
    port: 80
    # The port on the container that the service will forward traffic to
    targetPort: 8080
  # ClusterIP is the default, but we're explicit here.
  # This service is only reachable from within the Kubernetes cluster.
  type: ClusterIP